National Library of Energy BETA

Sample records for artificial intelligence cxs

  1. COLLOQUIUM: Superintelligence, Artificial General Intelligence (AGI), and

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Existential Risk | Princeton Plasma Physics Lab 21, 2016, 4:15pm to 5:30pm Colloquia MBG Auditorium, PPPL (284 cap.) COLLOQUIUM: Superintelligence, Artificial General Intelligence (AGI), and Existential Risk Dr. Susan Schneider University of Connecticut Colloquium Committee: The Princeton Plasma Physics Laboratory 2016-2017 Colloquium Committee is comprised of the following people. Please feel free to contact them by e-mail regarding any possible speakers or topics for future colloquia.

  2. Amplify scientific discovery with artificial intelligence

    SciTech Connect (OSTI)

    Gil, Yolanda; Greaves, Mark T.; Hendler, James; Hirsch, Hyam

    2014-10-10

    Computing innovations have fundamentally changed many aspects of scientific inquiry. For example, advances in robotics, high-end computing, networking, and databases now underlie much of what we do in science such as gene sequencing, general number crunching, sharing information between scientists, and analyzing large amounts of data. As computing has evolved at a rapid pace, so too has its impact in science, with the most recent computing innovations repeatedly being brought to bear to facilitate new forms of inquiry. Recently, advances in Artificial Intelligence (AI) have deeply penetrated many consumer sectors, including for example Apple’s Siri™ speech recognition system, real-time automated language translation services, and a new generation of self-driving cars and self-navigating drones. However, AI has yet to achieve comparable levels of penetration in scientific inquiry, despite its tremendous potential in aiding computers to help scientists tackle tasks that require scientific reasoning. We contend that advances in AI will transform the practice of science as we are increasingly able to effectively and jointly harness human and machine intelligence in the pursuit of major scientific challenges.

  3. Artificial intelligence technologies applied to terrain analysis

    SciTech Connect (OSTI)

    Wright, J.C. ); Powell, D.R. )

    1990-01-01

    The US Army Training and Doctrine Command is currently developing, in cooperation with Los Alamos National Laboratory, a Corps level combat simulation to support military analytical studies. This model emphasizes high resolution modeling of the command and control processes, with particular attention to architectural considerations that enable extension of the model. A planned future extension is the inclusion of an computer based planning capability for command echelons that can be dynamical invoked during the execution of then model. Command and control is the process through which the activities of military forces are directed, coordinated, and controlled to achieve the stated mission. To perform command and control the commander must understand the mission, perform terrain analysis, understand his own situation and capabilities as well as the enemy situation and his probable actions. To support computer based planning, data structures must be available to support the computer's ability to understand'' the mission, terrain, own capabilities, and enemy situation. The availability of digitized terrain makes it feasible to apply artificial intelligence technologies to emulate the terrain analysis process, producing data structures for uses in planning. The work derived thus for to support the understanding of terrain is the topic of this paper. 13 refs., 5 figs., 6 tabs.

  4. Computers for artificial intelligence a technology assessment and forecast

    SciTech Connect (OSTI)

    Miller, R.K.

    1986-01-01

    This study reviews the development and current state-of-the-art in computers for artificial intelligence, including LISP machines, AI workstations, professional and engineering workstations, minicomputers, mainframes, and supercomputers. Major computer systems for AI applications are reviewed. The use of personal computers for expert system development is discussed, and AI software for the IBM PC, Texas Instrument Professional Computer, and Apple MacIntosh is presented. Current research aimed at developing a new computer for artificial intelligence is described, and future technological developments are discussed.

  5. Application of Artificial Intelligence to Reservoir Characterization - An Interdisciplinary Approach

    SciTech Connect (OSTI)

    Kelkar, B.G.; Gamble, R.F.; Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    2000-01-12

    The primary goal of this project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlation's between wells. Using the correlation's and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained.

  6. The application of neural networks with artificial intelligence technique in the modeling of industrial processes

    SciTech Connect (OSTI)

    Saini, K. K.; Saini, Sanju

    2008-10-07

    Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

  7. The use of artificially intelligent agents with bounded rationality in the study of economic markets

    SciTech Connect (OSTI)

    Rajan, V.; Slagle, J.R.

    1996-12-31

    The concepts of {open_quote}knowledge{close_quote} and {open_quote}rationality{close_quote} are of central importance to fields of science that are interested in human behavior and learning, such as artificial intelligence, economics, and psychology. The similarity between artificial intelligence and economics - both are concerned with intelligent thought, rational behavior, and the use and acquisition of knowledge - has led to the use of economic models as a paradigm for solving problems in distributed artificial intelligence (DAI) and multi agent systems (MAS). What we propose is the opposite; the use of artificial intelligence in the study of economic markets. Over the centuries various theories of market behavior have been advanced. The prevailing theory holds that an asset`s current price converges to the risk adjusted value of the rationally expected dividend stream. While this rational expectations model holds in equilibrium or near-equilibrium conditions, it does not sufficiently explain conditions of market disequilibrium. An example of market disequilibrium is the phenomenon of a speculative bubble. We present an example of using artificially intelligent agents with bounded rationality in the study of speculative bubbles.

  8. Proceedings of the thirteenth national conference on artificial intelligence and the eighth innovative applications of artificial intelligence conference. Volume 1 and 2

    SciTech Connect (OSTI)

    1996-12-31

    This report contain papers from the Thirteenth National Conference on Artificial Intelligence and the Eighth Conference on Innovative Applications of Artificial Intelligence collected in two volumes. General areas of research for these papers are: interaction; internet agents; multiagent learning; multiagent problem solving; negotiation and coalition; AI in art and entertainment; constraint satisfaction; data consistency; game-tree search; phase transition; search control; search and learning; stochastic search; temporal reasoning; education; information retrieval and natural language processing; knowledge-based systems; knowledge compilation; knowledge representation; belief and belief revision; description logics and probabilities reasoning; knowledge-base and context; nonmonotonic reasoning; reasoning about action; learning; mobile robots; model-based reasoning; natural language; preception; planning; rule-based reasoning and connectionism; uncertainty; robot competition; student abstracts; and case studies.

  9. The role of artificial intelligence in design possibilities and pitfalls

    SciTech Connect (OSTI)

    Middleton, R.H.; Rees, D.; Esat, I.; Phillips, G.

    1996-12-31

    Design is often considered a human-only activity requiring a creativity and intelligence not available to computers. In recent years CAD and related technologies have become widespread, improvements in AI technology are enabling computers to assist in areas of the design process that were previously inaccessible. This paper looks at the role which AI is playing in design. The potential future uses of this technology, as well as possible problems which may arise are also considered.

  10. Method and apparatus for optimizing operation of a power generating plant using artificial intelligence techniques

    DOE Patents [OSTI]

    Wroblewski, David; Katrompas, Alexander M.; Parikh, Neel J.

    2009-09-01

    A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.

  11. Artificial intelligence research in particle accelerator control systems for beam line tuning

    SciTech Connect (OSTI)

    Pieck, Martin

    2008-01-01

    Tuning particle accelerators is time consuming and expensive, with a number of inherently non-linear interactions between system components. Conventional control methods have not been successful in this domain and the result is constant and expensive monitoring of the systems by human operators. This is particularly true for the start-up and conditioning phase after a maintenance period or an unexpected fault. In turn, this often requires a step-by-step restart of the accelerator. Surprisingly few attempts have been made to apply intelligent accelerator control techniques to help with beam tuning, fault detection, and fault recovery problems. The reason for that might be that accelerator facilities are rare and difficult to understand systems that require detailed expert knowledge about the underlying physics as well as months if not years of experience to understand the relationship between individual components, particularly if they are geographically disjoint. This paper will give an overview about the research effort in the accelerator community that has been dedicated to the use of artificial intelligence methods for accelerator beam line tuning.

  12. Reservoir Modeling by Data Integration via Intermediate Spaces and Artificial Intelligence Tools in MPS Simulation Frameworks

    SciTech Connect (OSTI)

    Ahmadi, Rouhollah; Khamehchi, Ehsan

    2013-12-15

    Conditioning stochastic simulations are very important in many geostatistical applications that call for the introduction of nonlinear and multiple-point data in reservoir modeling. Here, a new methodology is proposed for the incorporation of different data types into multiple-point statistics (MPS) simulation frameworks. Unlike the previous techniques that call for an approximate forward model (filter) for integration of secondary data into geologically constructed models, the proposed approach develops an intermediate space where all the primary and secondary data are easily mapped onto. Definition of the intermediate space, as may be achieved via application of artificial intelligence tools like neural networks and fuzzy inference systems, eliminates the need for using filters as in previous techniques. The applicability of the proposed approach in conditioning MPS simulations to static and geologic data is verified by modeling a real example of discrete fracture networks using conventional well-log data. The training patterns are well reproduced in the realizations, while the model is also consistent with the map of secondary data.

  13. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Final report, August 31, 1997

    SciTech Connect (OSTI)

    Kerr, D.R.; Thompson, L.G.; Shenoi, S.

    1998-03-01

    The primary goal of the project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlations between wells. Using the correlations and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained. Although all the components within the overall system are functioning, the integration of dynamic data may not be practical due to the single-phase flow limitations and the computationally intensive algorithms. The future work needs to concentrate on making the dynamic data integration computationally efficient.

  14. RAVEN: a GUI and an Artificial Intelligence Engine in a Dynamic PRA Framework

    SciTech Connect (OSTI)

    C. Rabiti; D. Mandelli; A. Alfonsi; J. Cogliati; R. Kinoshita; D. Gaston; R. Martineau; C. Curtis

    2013-06-01

    Increases in computational power and pressure for more accurate simulations and estimations of accident scenario consequences are driving the need for Dynamic Probabilistic Risk Assessment (PRA) [1] of very complex models. While more sophisticated algorithms and computational power address the back end of this challenge, the front end is still handled by engineers that need to extract meaningful information from the large amount of data and build these complex models. Compounding this problem is the difficulty in knowledge transfer and retention, and the increasing speed of software development. The above-described issues would have negatively impacted deployment of the new high fidelity plant simulator RELAP-7 (Reactor Excursion and Leak Analysis Program) at Idaho National Laboratory. Therefore, RAVEN that was initially focused to be the plant controller for RELAP-7 will help mitigate future RELAP-7 software engineering risks. In order to accomplish this task, Reactor Analysis and Virtual Control Environment (RAVEN) has been designed to provide an easy to use Graphical User Interface (GUI) for building plant models and to leverage artificial intelligence algorithms in order to reduce computational time, improve results, and help the user to identify the behavioral pattern of the Nuclear Power Plants (NPPs). In this paper we will present the GUI implementation and its current capability status. We will also introduce the support vector machine algorithms and show our evaluation of their potentiality in increasing the accuracy and reducing the computational costs of PRA analysis. In this evaluation we will refer to preliminary studies performed under the Risk Informed Safety Margins Characterization (RISMC) project of the Light Water Reactors Sustainability (LWRS) campaign [3]. RISMC simulation needs and algorithm testing are currently used as a guidance to prioritize RAVEN developments relevant to PRA.

  15. Potential applications of artificial intelligence in computer-based management systems for mixed waste incinerator facility operation

    SciTech Connect (OSTI)

    Rivera, A.L.; Singh, S.P.N.; Ferrada, J.J.

    1991-01-01

    The Department of Energy/Oak Ridge Field Office (DOE/OR) operates a mixed waste incinerator facility at the Oak Ridge K-25 Site, designed for the thermal treatment of incinerable liquid, sludge, and solid waste regulated under the Toxic Substances Control Act (TSCA) and the Resource Conversion and Recovery Act (RCRA). Operation of the TSCA Incinerator is highly constrained as a result of the regulatory, institutional, technical, and resource availability requirements. This presents an opportunity for applying computer technology as a technical resource for mixed waste incinerator operation to facilitate promoting and sustaining a continuous performance improvement process while demonstrating compliance. This paper describes mixed waste incinerator facility performance-oriented tasks that could be assisted by Artificial Intelligence (AI) and the requirements for AI tools that would implement these algorithms in a computer-based system. 4 figs., 1 tab.

  16. Diagnostics and Control of Natural Gas-Fired furnaces via Flame Image Analysis using Machine Vision & Artificial Intelligence Techniques

    SciTech Connect (OSTI)

    Shahla Keyvan

    2005-12-01

    A new approach for the detection of real-time properties of flames is used in this project to develop improved diagnostics and controls for natural gas fired furnaces. The system utilizes video images along with advanced image analysis and artificial intelligence techniques to provide virtual sensors in a stand-alone expert shell environment. One of the sensors is a flame sensor encompassing a flame detector and a flame analyzer to provide combustion status. The flame detector can identify any burner that has not fired in a multi-burner furnace. Another sensor is a 3-D temperature profiler. One important aspect of combustion control is product quality. The 3-D temperature profiler of this on-line system is intended to provide a tool for a better temperature control in a furnace to improve product quality. In summary, this on-line diagnostic and control system offers great potential for improving furnace thermal efficiency, lowering NOx and carbon monoxide emissions, and improving product quality. The system is applicable in natural gas-fired furnaces in the glass industry and reheating furnaces used in steel and forging industries.

  17. Challenge problems for artificial intelligence

    SciTech Connect (OSTI)

    Selman, B.; Brooks, R.A.; Dean, T.

    1996-12-31

    AI textbooks and papers of ten discuss the big questions, such as {open_quotes}how to reason with uncertainty{close_quotes}, {open_quotes}how to reason efficiently{close_quotes}, or {open_quotes}how to improve performance through learning.{close_quotes} It is more difficult, however, to find descriptions of concrete problems or challenges that are still ambitious and interesting, yet not so open-ended. The goal of this panel is to formulate a set of such challenge problems for the field. Each panelist was asked to formulate one or more challenges. The emphasis is on problems for which there is a good chance that they will be resolved within the next five to ten years.

  18. Artificial photosynthesis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial photosynthesis Authors: Gust, D., Moore, T.A., and Moore, A.L. Title: Artificial photosynthesis Source: Theoretical and Experimental Plant Physiology Year: 2013 Volume: 25 Pages: 182-185 ABSTRACT: Photosynthesis is the largest-scale, longest-tested, and most important solar energy conversion system on earth. Photosynthetic organisms provide fuel for most of the biosphere, and generated the fossil fuels that account for about 85% of the energy used today by human technology. In a time

  19. Proceedings of the sixth international symposium on methodologies for intelligent systems (Poster Session)

    SciTech Connect (OSTI)

    Harber, K.S.

    1991-09-01

    This volume contains papers which have been selected for the poster Session at the Sixth International Symposium for Intelligent Systems held October 1991, The following major areas were covered: expert systems; intelligent databases; knowledge representation; learning and adaptive systems; and logic for artificial intelligence. Nineteen full papers are included. (GHH)

  20. Building Artificial Vision Systems with Machine Learning

    SciTech Connect (OSTI)

    LeCun, Yann

    2011-02-23

    Three questions pose the next challenge for Artificial Intelligence (AI), robotics, and neuroscience. How do we learn perception (e.g. vision)? How do we learn representations of the perceptual world? How do we learn visual categories from just a few examples?

  1. Intelligent Buildings

    SciTech Connect (OSTI)

    Brambley, Michael R.; Armstrong, Peter R.; Kintner-Meyer, Michael CW; Pratt, Robert G.; Katipamula, Srinivas

    2001-01-01

    The topic of "intelligent buildings" (IBs) emerged in the early 1980s. Since, the term has been used to represent a variety of related, yet differing topics, each with a slightly different focus and purpose. Wiring and networking-infrastructure companies emphasize the cabling requirements for communication in intelligent buildings and the need to accommodate future needs for higher-speed broadband. Lucent (Lucent 2000) for example, defines an IB as "...one with a completely integrated wiring architecture. A single cabling system that handles all information traffic - voice, data, video, even the big building management systems."

  2. Artificial Soiling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial Soiling of Photovoltaic Module Surfaces using Traceable Soil Components Patrick D. Burton and Bruce H. King Sandia National Laboratories Albuquerque NM 87185 USA Email: pdburto@sandia.gov Abstract-Effective evaluation and prediction of photovoltaic performance loss due to soiling requires consistent test methods. Natural grime accumulation is time-consuming and location- specific, and thus does not provide reproducible results across different geographic regions. Therefore, we have

  3. ACEEE Intelligent Efficiency Conference

    Broader source: Energy.gov [DOE]

    The American Council for an Energy-Efficient Economy (ACEEE) is hosting an Intelligent Efficiency Conference to share ideas and form partnerships that will advance the adoption of intelligent efficiency in the marketplace.

  4. Intelligent Leak Detection System

    Energy Science and Technology Software Center (OSTI)

    2014-10-27

    apability of underground carbon dioxide storage to confine and sustain injected CO2 for a very long time is the main concern for geologic CO2 sequestration. If a leakage from a geological CO2 sequestration site occurs, it is crucial to find the approximate amount and the location of the leak in order to implement proper remediation activity. An overwhelming majority of research and development for storage site monitoring has been concentrated on atmospheric, surface or nearmore » surface monitoring of the sequestered CO2. This study aims to monitor the integrity of CO2 storage at the reservoir level. This work proposes developing in-situ CO2 Monitoring and Verification technology based on the implementation of Permanent Down-hole Gauges (PDG) or “Smart Wells” along with Artificial Intelligence and Data Mining (AI&DM). The technology attempts to identify the characteristics of the CO2 leakage by de-convolving the pressure signals collected from Permanent Down-hole Gauges (PDG). Citronelle field, a saline aquifer reservoir, located in the U.S. was considered for this study. A reservoir simulation model for CO2 sequestration in the Citronelle field was developed and history matched. The presence of the PDGs were considered in the reservoir model at the injection well and an observation well. High frequency pressure data from sensors were collected based on different synthetic CO2 leakage scenarios in the model. Due to complexity of the pressure signal behaviors, a Machine Learning-based technology was introduced to build an Intelligent Leakage Detection System (ILDS). The ILDS was able to detect leakage characteristics in a short period of time (less than a day) demonstrating the capability of the system in quantifying leakage characteristics subject to complex rate behaviors. The performance of ILDS was examined under different conditions such as multiple well leakages, cap rock leakage, availability of an additional monitoring well, presence of pressure drift

  5. Intelligent Leak Detection System

    SciTech Connect (OSTI)

    Mohaghegh, Shahab D.

    2014-10-27

    apability of underground carbon dioxide storage to confine and sustain injected CO2 for a very long time is the main concern for geologic CO2 sequestration. If a leakage from a geological CO2 sequestration site occurs, it is crucial to find the approximate amount and the location of the leak in order to implement proper remediation activity. An overwhelming majority of research and development for storage site monitoring has been concentrated on atmospheric, surface or near surface monitoring of the sequestered CO2. This study aims to monitor the integrity of CO2 storage at the reservoir level. This work proposes developing in-situ CO2 Monitoring and Verification technology based on the implementation of Permanent Down-hole Gauges (PDG) or “Smart Wells” along with Artificial Intelligence and Data Mining (AI&DM). The technology attempts to identify the characteristics of the CO2 leakage by de-convolving the pressure signals collected from Permanent Down-hole Gauges (PDG). Citronelle field, a saline aquifer reservoir, located in the U.S. was considered for this study. A reservoir simulation model for CO2 sequestration in the Citronelle field was developed and history matched. The presence of the PDGs were considered in the reservoir model at the injection well and an observation well. High frequency pressure data from sensors were collected based on different synthetic CO2 leakage scenarios in the model. Due to complexity of the pressure signal behaviors, a Machine Learning-based technology was introduced to build an Intelligent Leakage Detection System (ILDS). The ILDS was able to detect leakage characteristics in a short period of time (less than a day) demonstrating the capability of the system in quantifying leakage characteristics subject to complex rate behaviors. The performance of ILDS was examined under different conditions such as multiple well leakages, cap rock leakage, availability of an additional monitoring well, presence of pressure drift and noise

  6. Intelligence and Counterintelligence - DOE Directives, Delegations, and

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Requirements Intelligence and Counterintelligence

  7. Social Intelligence: Next Generation Business Intelligence

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-09-01

    In order for Business Intelligence to truly move beyond where it is today, a shift in approach must occur. Currently, much of what is accomplished in the realm of Business Intelligence relies on reports and dashboards to summarize and deliver information to end users. As we move into the future, we need to get beyond these reports and dashboards to a point where we break out the individual metrics that are embedded in these reports and interact with these components independently. Breaking these pieces of information out of the confines of reports and dashboards will allow them to be dynamically assembled for delivery in the way that makes most sense to each consumer. With this change in ideology, Business Intelligence will move from the concept of collections of objects, or reports and dashboards, to individual objects, or information components. The Next Generation Business Intelligence suite will translate concepts popularized in Facebook, Flickr, and Digg into enterprise worthy communication vehicles.

  8. Intelligence Research Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will: Assist with the conduct of tactical counterintelligence analyses regarding foreign intelligence threats to Department personnel, facilities and science...

  9. Office of Intelligence and Counterintelligence

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy’s Office of Intelligence and Counterintelligence is responsible for all intelligence and counterintelligence activities throughout the DOE complex, including nearly...

  10. Realizing artificial photosynthesis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial photosynthesis comprises the design of systems for converting solar energy into ... In this report, the emphasis is on molecule-based systems for photochemical production ...

  11. Robotic Intelligence Kernel: Communications

    Energy Science and Technology Software Center (OSTI)

    2009-09-16

    The INL Robotic Intelligence Kernel-Comms is the communication server that transmits information between one or more robots using the RIK and one or more user interfaces. It supports event handling and multiple hardware communication protocols.

  12. Robotic Intelligence Kernel: Driver

    Energy Science and Technology Software Center (OSTI)

    2009-09-16

    The INL Robotic Intelligence Kernel-Driver is built on top of the RIK-A and implements a dynamic autonomy structure. The RIK-D is used to orchestrate hardware for sensing and action as well as software components for perception, communication, behavior and world modeling into a single cognitive behavior kernel that provides intrinsic intelligence for a wide variety of unmanned ground vehicle systems.

  13. Intelligent Transportation Systems

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Intelligent Transportation Systems This email address is being protected from spambots. You need JavaScript enabled to view it. - TRACC Director Background The development and deployment of Intelligent Transportation Systems (ITS) in the United States is an effort of national importance. Through the use of advanced computing, control, and communication technologies, ITS promises to greatly improve the efficiency and safety of the existing surface transportation system and reduce the

  14. Intelligence Community Student Opportunities (Virtual Information Session)

    Broader source: Energy.gov [DOE]

    Attendees: Students interested in intelligence internship opportunities Participating Office: Office of Intelligence and Counter-Intelligence POC: Kevin Kremer (IN) Supports: Student Employment Program

  15. Intelligent Potroom Operation

    SciTech Connect (OSTI)

    Jan Berkow; Larry Banta

    2003-07-29

    The Intelligent Potroom Operation project focuses on maximizing the performance of an aluminum smelter by innovating components for an intelligent manufacturing system. The Intelligent Potroom Advisor (IPA) monitors process data to identify reduction cells exhibiting behaviors that require immediate attention. It then advises operational personnel on those heuristic-based actions to bring the cell back to an optimal operating state in order to reduce the duration and frequency of substandard reduction cell performance referred to as ''Off-Peak Modes'' (OPMs). Techniques developed to identify cells exhibiting OPMs include the use of a finite element model-based cell state estimator for defining the cell's current operating state via advanced cell noise analyses. In addition, rule induction was also employed to identify statistically significant complex behaviors that occur prior to OPMs. The intelligent manufacturing system design, concepts and formalisms developed in this project w ere used as a basis for an intelligent manufacturing system design. Future research will incorporate an adaptive component to automate continuous process improvement, a technology platform with the potential to improve process performance in many of the other Industries of the Future applications as well.

  16. Robotic Intelligence Kernel: Architecture

    Energy Science and Technology Software Center (OSTI)

    2009-09-16

    The INL Robotic Intelligence Kernel Architecture (RIK-A) is a multi-level architecture that supports a dynamic autonomy structure. The RIK-A is used to coalesce hardware for sensing and action as well as software components for perception, communication, behavior and world modeling into a framework that can be used to create behaviors for humans to interact with the robot.

  17. Robotic Intelligence Kernel: Visualization

    Energy Science and Technology Software Center (OSTI)

    2009-09-16

    The INL Robotic Intelligence Kernel-Visualization is the software that supports the user interface. It uses the RIK-C software to communicate information to and from the robot. The RIK-V illustrates the data in a 3D display and provides an operating picture wherein the user can task the robot.

  18. Supervisory, Intelligence Research Specialist, GS-132-14 (Director...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Supervisory, Intelligence Research Specialist, GS-132-14 (Director - Intelligence Watch Officer) Supervisory, Intelligence Research Specialist, GS-132-14 (Director - Intelligence...

  19. Demand Dispatch-Intelligent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Demand Dispatch-Intelligent Demand for a More Efficient Grid 10 August 2011 DOE/NETL- DE-FE0004001 U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Prepared by: National Energy Technology Laboratory Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal

  20. Intelligence and Space Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ISR Intelligence and Space Research Create, deliver, support, and exploit innovative sensing systems for space-based, airborne and ground-based applications to address critical national security and scientific challenges Leadership Division Leader Kevin Saeger Deputy Division Leader Angela Mielke Contacts Chief of Staff Aimee Blanchard Email Executive Office Administrator Mary T. Wubbena Email Create, deliver, support and exploit innovative sensing systems Innovative sensing systems for

  1. Intelligence team given national honor

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Intelligence team given national honor Intelligence team given national honor A team known as the LANL Field Intelligence Element is being honored with the Department of Energy Exceptional Service Award. February 28, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos

  2. Intelligence team given national honor

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of our staff allows us to answer difficult questions for the intelligence community," said Michael Anastasio, Los Alamos National Laboratory director. "Our scientists use...

  3. Categorical Exclusion Determinations: Intelligence and Counterintelligence

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Intelligence and Counterintelligence Categorical Exclusion Determinations: Intelligence and Counterintelligence Categorical Exclusion Determinations issued by Intelligence and Counterintelligence. DOCUMENTS AVAILABLE FOR DOWNLOAD No downloads found for this office.

  4. Artificial mismatch hybridization

    DOE Patents [OSTI]

    Guo, Zhen; Smith, Lloyd M.

    1998-01-01

    An improved nucleic acid hybridization process is provided which employs a modified oligonucleotide and improves the ability to discriminate a control nucleic acid target from a variant nucleic acid target containing a sequence variation. The modified probe contains at least one artificial mismatch relative to the control nucleic acid target in addition to any mismatch(es) arising from the sequence variation. The invention has direct and advantageous application to numerous existing hybridization methods, including, applications that employ, for example, the Polymerase Chain Reaction, allele-specific nucleic acid sequencing methods, and diagnostic hybridization methods.

  5. Nanoscale, multidimensional artificial magnet created

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nanoscale, multidimensional artificial magnet created Nanoscale, multidimensional artificial magnet created Applications might range from general magnetism, such as developing sensors, to information encoding. October 26, 2015 Researchers have created a nanoscale, artificial magnet by arranging an array of magnetic nano-islands along a geometry that is not found in natural magnets. As temperature is reduced, magnetic nanoislands (in blue) reach a one-dimensional static, ordered state, while

  6. Solar Fuels via Artificial Photosynthesis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... For example, artificial reaction centers, where electrons are injected from a dye molecule into the conduction band of nanoparticulate titanium dioxide on a transparent electrode, ...

  7. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J.

    2009-11-17

    A robot platform includes perceptors, locomotors, and a system controller. The system controller executes a robot intelligence kernel (RIK) that includes a multi-level architecture and a dynamic autonomy structure. The multi-level architecture includes a robot behavior level for defining robot behaviors, that incorporate robot attributes and a cognitive level for defining conduct modules that blend an adaptive interaction between predefined decision functions and the robot behaviors. The dynamic autonomy structure is configured for modifying a transaction capacity between an operator intervention and a robot initiative and may include multiple levels with at least a teleoperation mode configured to maximize the operator intervention and minimize the robot initiative and an autonomous mode configured to minimize the operator intervention and maximize the robot initiative. Within the RIK at least the cognitive level includes the dynamic autonomy structure.

  8. Intelligent mobile security systems

    SciTech Connect (OSTI)

    Allen, M.S. )

    1991-01-01

    This paper reports that mobile security systems are becoming increasingly important to military (Army, Air Force) and non-military (Drug Enforcement Agency, Border Patrol) organizations as the level and sophistication of terrorist activity increases. Frequently, organizations are required to deploy at remote sites on little notice. To ensure protection of life and equipment, security systems are sometimes required. Often, the personnel deployed on these missions are not adequately trained in the selection, installation, and operation of today's complex security equipment. The Intelligent Mobile Security System (IMSS) concept, as being developed by Sandia National Laboratories (SNL), allows untrained, non-technical personnel to configure, deploy, operate, and troubleshoot temporary/mobile physical security system. The IMSS may be used at nuclear facilities.

  9. One approach to artificial photosynthesis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Authors: Llansola-Portols, M.J., Palacios, R.E., Kodis, G., Megiatto, J.D., Moore, A.L., Moore, T. A., and Gust, D. Title: One approach to artificial photosynthesis...

  10. Greening the MLS for Business Intelligence

    Broader source: Energy.gov [DOE]

    "Greening the MLS for Business Intelligence," by Margaret OSullivan, RealEstate Business Intelligence, July 10, 2012. Presents an exploration of the MLS platform, key RETS standards, current trends, and future expectations.

  11. Greening the MLS for Business Intelligence

    Broader source: Energy.gov [DOE]

    "Greening the MLS for Business Intelligence," by Margaret O’Sullivan, RealEstate Business Intelligence, July 10, 2012. Presents an exploration of the MLS platform, key RETS standards, current trends, and future expectations.

  12. Joint Center for Artificial Photosynthesis

    ScienceCinema (OSTI)

    Koval, Carl; Lee, Kenny; Houle, Frances; Lewis, Nate

    2013-12-19

    The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology. Established in 2010 as a U.S. Department of Energy (DOE) Energy Innovation Hub, JCAP aims to find a cost-effective method to produce fuels using only sunlight, water, and carbon dioxide as inputs. JCAP brings together more than 140 top scientists and researchers from the California Institute of Technology and its lead partner, Berkeley Lab, along with collaborators from the SLAC National Accelerator Laboratory, and the University of California campuses at Irvine and San Diego.

  13. Intelligence Reform and Terrorism Prevention Act - December 17, 2004 |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Intelligence Reform and Terrorism Prevention Act - December 17, 2004 Intelligence Reform and Terrorism Prevention Act - December 17, 2004 December 17, 2004 To reform the intelligence community and the intelligence and intelligence-related activities of the United States Government, and for other purposes. SEC. 102. (a) DIRECTOR OF NATIONAL INTELLIGENCE.-(1) There is a Director of National Intelligence who shall be appointed by the President, by and with the advice and

  14. intelligence | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    intelligence Managing the data deluge for national security analysts ALBUQUERQUE, N.M. - After a disaster or national tragedy, bits of information often are found afterward among vast amounts of available data that might have mitigated or even prevented what happened, had they been recognized ahead of time. In this information age, national security analysts often... Bruce Held Announces Retirement After Nearly 40 Years of Public Service After nearly four decades of public service, Bruce Held,

  15. Office of Intelligence and Counterintelligence | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Steven K. Black, Director Photo of circuit board under a magnifying glass The U.S. Department of Energy's Office of Intelligence and Counterintelligence is responsible for all intelligence and counterintelligence activities throughout the DOE complex, including nearly thirty intelligence and counterintelligence offices nationwide. The Office protects vital national security information and technologies,

  16. Artificial leaf jumps developmental hurdle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Center Objective The Science Center Publications Graduate Research opportunities Undergraduate research opportunities EFRC-501 graduate class Seminar schedules Center News Research Highlights Center Research News Media about Center Center Video Library Bisfuel Picture Gallery Artificial leaf jumps developmental hurdle 18 Feb 2014 by Jenny Green: In a recent early online edition of Nature Chemistry, ASU scientists, along with colleagues at Argonne National Laboratory, have reported advances

  17. Intelligence support to arms control. Study project

    SciTech Connect (OSTI)

    Grisham, A.E.

    1990-04-09

    This paper argues that intelligence support is critical to the success of arms control. It identifies and describes the roles of intelligence in the arms control process, describes the existing intelligence organizational structure for arms control support, and identifies and analyzes issues. The roles include support to policy formulation, support to treaty negotiation, support to ratification, and finally, during verification, support for the implementation of the treaty through monitoring. The Director of Central Intelligence is responsible for monitoring, while the Arms Control and Disarmament Agency has responsibility for verification. Adjudication of conflicting interpretations occurs within the NSC committee structure. For several reasons, intelligence cannot be expected to do the actual verification of an arms control treaty. Most importantly, determination of an acceptable degree of confidence is always a political issue, although based on military judgement. Assigning intelligence responsibility for monitoring, rather than verification, helps to limit the politicization of intelligence. Issues identified during the research for this paper were analyzed within three subgroups: those inherent in the intelligence discipline; these must be managed successfully to limit adverse impact on intelligence products. Second, issues and challenges inherent in arms control bureaucratic relationships; these are best managed by keeping separate the actual monitoring analysis and verification this gives the West justification for caution, and reinforces the need for continued emphasis on verification.

  18. Management and Control of Foreign Intelligence

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1992-01-15

    The order provides for the management of and assign responsibilities for foreign intelligence activities of DOE. Supersedes DOE 5670.1.

  19. Before the House Subcommittee on Counterterrorism and Intelligence...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Counterterrorism and Intelligence - Committee on Homeland Security Before the House Subcommittee on Counterterrorism and Intelligence - Committee on Homeland Security Before the...

  20. Intelligence Research Specialist, Executive Briefer, GS-132-14...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Intelligence Research Specialist, Executive Briefer, GS-132-14 Intelligence Research ... 1 vacancy - Washington, DC Metro Area Open Period: May 6, 2016 - May 13, 2016 ...

  1. National Air & Space Intelligence Center Holds Program About...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    National Air & Space Intelligence Center Holds Program About Empowering Women in the Workplace National Air & Space Intelligence Center Holds Program About Empowering Women in the...

  2. Intelligent Grid Technologies - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search Intelligent Grid Technologies Sandia National Laboratories Contact SNL About This Technology Publications: PDF Document Publication Market Sheet (611 KB) Technology Marketing Summary With the increasing demand for new energy distribution methods including increased efficiency and alternative sources, Intelligent Grid technologies are on the cutting edge of demand. The

  3. Towards Artificial Photosynthesis and Alternative Energy | Center...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Gust, Director of the Center for Bio-Inspired Solar Fuel Production, presented a lecture for high school students titled "Towards Artificial Photosynthesis and Alternative Energy". ...

  4. Brief History of Artificial Lighting Technology

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial Lighting Technology - Sandia Energy Energy Search Icon Sandia Home Locations ... Energy Frontier Research Centers: Solid-State Lighting Science Center for Frontiers of ...

  5. Fully Integrated Nanosystem for Artificial Photosynthesis - Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    About This Technology Publications: PDF Document Publication Liu, C., Dasgupta, N. P., Yang, P., "Semiconductor Nanowires for Artificial Photosynthesis," Chemistry of Materials,...

  6. Artificial Muscle Inc | Open Energy Information

    Open Energy Info (EERE)

    Inc Place: California Zip: CA 94085 Product: Artificial Muscle develops electroactive polymer technology used for sensing, actuating and electric power generation applications....

  7. Ferroelectricity in Artificial Bicolor Oxide Superlattices (Journal...

    Office of Scientific and Technical Information (OSTI)

    Citation Details In-Document Search Title: Ferroelectricity in Artificial Bicolor Oxide Superlattices We report on ... Resource Type: Journal Article Resource Relation: ...

  8. Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2008 | Department of Energy Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Development of a novel distributed and hierarchical security layer specific to intelligent grid design will help protect intelligent distributed power grids from cyber attacks. Intelligent power grids are interdependent energy management systems-encompassing generation, distribution, IT networks, and

  9. Robotic Intelligent System | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Intelligent System Could Save Hospitals Millions Click to email this to a friend (Opens in ... accuracy, all of the medical devices doctors need to perform life-saving procedures. ...

  10. Content Analysis for Proactive Protective Intelligence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.

    2010-12-15

    The aim of this paper is to outline a plan for developing and validating a Proactive Protective Intelligence approach that prevents targeted violence through the analysis and assessment of threats overtly or covertly expressed in abnormal communications to USSS protectees.

  11. Intelligent Energy Holdings | Open Energy Information

    Open Energy Info (EERE)

    Kingdom Zip: W1K 5DB Product: Intelligent Energy provides energy solutions based on PEM fuel cells for the distributed power and transport industries. It purchased micro scale...

  12. Intelligent Wind Turbine Program - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wind Energy Wind Energy Find More Like This Return to Search Intelligent Wind Turbine Program Los Alamos National Laboratory Contact LANL About This Technology Technology Marketing SummaryA unique LANL research team composed of world experts in structural health monitoring, modeling and simulation, and prognostic decision making has established a strong capability in wind energy research. The intelligent wind-turbine project has resulted in a U.S. patent application and copyrighted software,

  13. Artificial Photosynthesis: An Alternative to Fuel Cell Development...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial Photosynthesis: An Alternative to Fuel Cell Development December 15, 2015 Artificial Photosynthesis: An Alternative to Fuel Cell Development Photosynthesis research at ...

  14. Light Trapping, Absorption and Solar Energy Harvesting by Artificial...

    Office of Scientific and Technical Information (OSTI)

    Energy Harvesting by Artificial Materials Citation Details In-Document Search Title: Light Trapping, Absorption and Solar Energy Harvesting by Artificial Materials We provide ...

  15. Zhejiang DunAn Artificial Environmental Equipment Co Ltd | Open...

    Open Energy Info (EERE)

    DunAn Artificial Environmental Equipment Co Ltd Jump to: navigation, search Name: Zhejiang DunAn Artificial Environmental Equipment Co Ltd Place: Zhuji, Zhejiang Province, China...

  16. Artificial oxygen transport protein (Patent) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Patent: Artificial oxygen transport protein Citation Details In-Document Search Title: Artificial oxygen transport protein This invention provides heme-containing peptides capable...

  17. Students analyze artificial implants at ASM Materials Camp |...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Students analyze artificial ... Students analyze artificial implants at ASM Materials Camp Posted: June 10, 2013 - 8:37am Student Hunter Stombaugh loads a material sample into the...

  18. Artificial Lift Technology | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Technology: Driving the Artificial Lift Market Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Technology: Driving the Artificial Lift Market Gary Ford, president and CEO of GE Artificial Lift, discusses what the equipment does, the current state of the market and the importance of working with GE's Global Research

  19. Exploration of Artificial Frustrated Magnets

    SciTech Connect (OSTI)

    Samarth, Nitin; Schiffer, Peter

    2015-02-17

    This program encompasses experimental and theoretical studies of arrays of nanometer-scale magnets known as “artificial frustrated magnets”. These magnets are small and closely spaced, so that their behavior as a collective group is complex and reveals insights into how such collections of interacting objects behave as a group. In particular, the placement of the magnets is such that the interactions between them are “frustrated”, in that they compete with each other. These systems are analogs to a class of magnetic materials in which the lattice geometry frustrates interactions between individual atomic moments, and in which a wide range of novel physical phenomena have been recently observed. The advantage to studying the arrays is that they are both designable and resolvable: i.e., the experiments can control all aspects of the array geometry, and can also observe how individual elements of the arrays behave. This research program demonstrated a number of phenomena including the role of multiple collective interactions, the feasibility of using systems with their magnetism aligned perpendicular to the plane of the array, the importance of disorder in the arrays, and the possibility of using high temperatures to adjust the magnet orientations. All of these phenomena, and others explored in this program, add to the body of knowledge around collective magnetic behavior and magnetism in general. Aside from building scientific knowledge in an important technological area, with relevance to computing and memory, the program also gave critical support to the education of students working on the experiments.

  20. Instrumentation, Control, and Intelligent Systems

    SciTech Connect (OSTI)

    Not Available

    2005-09-01

    Abundant and affordable energy is required for U.S. economic stability and national security. Advanced nuclear power plants offer the best near-term potential to generate abundant, affordable, and sustainable electricity and hydrogen without appreciable generation of greenhouse gases. To that end, Idaho National Laboratory (INL) has been charged with leading the revitalization of nuclear power in the U.S. The INL vision is to become the preeminent nuclear energy laboratory with synergistic, world-class, multi-program capabilities and partnerships by 2015. The vision focuses on four essential destinations: (1) Be the preeminent internationally-recognized nuclear energy research, development, and demonstration laboratory; (2) Be a major center for national security technology development and demonstration; (3) Be a multi-program national laboratory with world-class capabilities; (4) Foster academic, industry, government, and international collaborations to produce the needed investment, programs, and expertise. Crucial to that effort is the inclusion of research in advanced instrumentation, control, and intelligent systems (ICIS) for use in current and advanced power and energy security systems to enable increased performance, reliability, security, and safety. For nuclear energy plants, ICIS will extend the lifetime of power plant systems, increase performance and power output, and ensure reliable operation within the system's safety margin; for national security applications, ICIS will enable increased protection of our nation's critical infrastructure. In general, ICIS will cost-effectively increase performance for all energy security systems.

  1. Carotenoid Photoprotection in Artificial Photosynthetic Antennas

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Carotenoid Photoprotection in Artificial Photosynthetic Antennas Authors: Kloz, M., Pillai, S., Kodis, G., Gust, D., Moore, T. A., Moore, A. L., van Grondelle, R., and Kennis, J. T. M. Title: Carotenoid Photoprotection in Artificial Photosynthetic Antennas Source: Journal of the American Chemical Society Year: 2011 Volume: 133 Pages: 7007-7015 ABSTRACT: A series of phthalocyanine-carotenoid dyads in which a phenylamino group links a phthalocyanine to carotenoids having 8-11 backbone double bonds

  2. 2011 Annual Planning Summary for Intelligence and Counterintelligence (IN)

    Broader source: Energy.gov [DOE]

    The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within Intelligence and Counterintelligence (IN).

  3. Fact Sheet: Protecting Intelligent Distributed Power Grids Against Cyber Attacks

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Protecting Intelligent Distributed Power Grids Against Cyber Attacks Development of a novel distributed and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, effciency, and reliability. But increased interconnection and automation over a large

  4. Intelligent emissions controller for substance injection in the post-primary combustion zone of fossil-fired boilers

    DOE Patents [OSTI]

    Reifman, Jaques; Feldman, Earl E.; Wei, Thomas Y. C.; Glickert, Roger W.

    2003-01-01

    The control of emissions from fossil-fired boilers wherein an injection of substances above the primary combustion zone employs multi-layer feedforward artificial neural networks for modeling static nonlinear relationships between the distribution of injected substances into the upper region of the furnace and the emissions exiting the furnace. Multivariable nonlinear constrained optimization algorithms use the mathematical expressions from the artificial neural networks to provide the optimal substance distribution that minimizes emission levels for a given total substance injection rate. Based upon the optimal operating conditions from the optimization algorithms, the incremental substance cost per unit of emissions reduction, and the open-market price per unit of emissions reduction, the intelligent emissions controller allows for the determination of whether it is more cost-effective to achieve additional increments in emission reduction through the injection of additional substance or through the purchase of emission credits on the open market. This is of particular interest to fossil-fired electrical power plant operators. The intelligent emission controller is particularly adapted for determining the economical control of such pollutants as oxides of nitrogen (NO.sub.x) and carbon monoxide (CO) emitted by fossil-fired boilers by the selective introduction of multiple inputs of substances (such as natural gas, ammonia, oil, water-oil emulsion, coal-water slurry and/or urea, and combinations of these substances) above the primary combustion zone of fossil-fired boilers.

  5. Brief History of Artificial Lighting Technology

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial Lighting Technology - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs

  6. THE CHOICE OF OPTIMAL STRUCTURE OF ARTIFICIAL NEURAL NETWORK CLASSIFIER INTENDED FOR CLASSIFICATION OF WELDING FLAWS

    SciTech Connect (OSTI)

    Sikora, R.; Chady, T.; Baniukiewicz, P.; Caryk, M.; Piekarczyk, B.

    2010-02-22

    Nondestructive testing and evaluation are under continuous development. Currently researches are concentrated on three main topics: advancement of existing methods, introduction of novel methods and development of artificial intelligent systems for automatic defect recognition (ADR). Automatic defect classification algorithm comprises of two main tasks: creating a defect database and preparing a defect classifier. Here, the database was built using defect features that describe all geometrical and texture properties of the defect. Almost twenty carefully selected features calculated for flaws extracted from real radiograms were used. The radiograms were obtained from shipbuilding industry and they were verified by qualified operator. Two weld defect's classifiers based on artificial neural networks were proposed and compared. First model consisted of one neural network model, where each output neuron corresponded to different defect group. The second model contained five neural networks. Each neural network had one neuron on output and was responsible for detection of defects from one group. In order to evaluate the effectiveness of the neural networks classifiers, the mean square errors were calculated for test radiograms and compared.

  7. Rational Design of Artificial Metal-Based Enzymes | Center for...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Rational Design of Artificial Metal-Based Enzymes 17 Mar 2014 Giovanna Ghirlanda is one of ... of Subtask 3 with an objective to design and optimize artificial catalysts for ...

  8. The Intelligent Systems, Robotics, and Cybernetics group

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Intelligent Systems, Robotics, and Cybernetics group (ISRC) at Sandia National Laboratories has the capabilities, expertise, and experience to develop advanced automation solutions for high consequence tasks and missions for a variety of customers. Our expertise in advanced controls, enhanced perception, robust manipulation, advanced mechanical design, unique mobility, and fail-safe design and integration enable us to design, develop, and implement robotic and non-robotic automation solutions

  9. Towards intelligent diagnostic system employing integration of mathematical and engineering model

    SciTech Connect (OSTI)

    Isa, Nor Ashidi Mat

    2015-05-15

    The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

  10. The Dept. of Energy Artificial Retina project

    ScienceCinema (OSTI)

    None

    2010-09-01

    LLNL has assisted in the development of the first long-term retinal prosthesis - called an artificial retina - that can function for years inside the harsh biological environment of the eye. This work has been done in collaboration with four national laboratories (Argonne, Los Alamos, Oak Ridge and Sandia), four universities (the California Institute of Technology, the Doheny Eye Institute at USC, North Carolina State University and the University of California, Santa Cruz), an industrial partner (Second Sight® Medical Products Inc. of Sylmar, Calif.) and the U.S. Department of Energy. With this device, application-specific integrated circuits transform digital images from a camera into electric signals in the eye that the brain uses to create a visual image. In clinical trials, patients with vision loss were able to successfully identify objects, increase mobility and detect movement using the artificial retina.

  11. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, L.J.; Keller, P.E.

    1997-10-28

    The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis. 12 figs.

  12. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, Lars J.; Keller, Paul E.

    1997-01-01

    The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis.

  13. Kindness Intelligence Solar Service KIS | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name: Kindness Intelligence Solar Service (KIS) Place: Nagano-Ken, Japan Zip: 385-0051 Product: Manufacturer of PV silicon modules. Coordinates: 36.11441,...

  14. Distributed Intelligence Architecture for Real-Time Control,...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Distributed Intelligence Architecture for Real-Time Control, Protection and Instrumentation Systems Architecture of complex, high-speed, Real-Time Instrumentation, Acquisition, Control ...

  15. Security of Foreign Intelligence Information and Sensitive Compartmented Information Facilities

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1993-07-23

    The order establishes responsibilities and authorities for protecting Foreign Intelligence Information (FII) and Sensitive Compartmented Information Facilities (SCIFs) within DOE. Supersedes DOE 5639.8.

  16. Report on {open_quotes}inspection of human subject research in intelligence and intelligence-related projects{close_quotes}

    SciTech Connect (OSTI)

    1996-01-16

    Executive Order 12333, {open_quotes}United States Intelligence Activities,{close_quotes} (1) designates the Department`s intelligence element as a member of the Intelligence Community, and (2) states that no agency within the Intelligence community shall sponsor, contract for or conduct research on human subjects except in accordance with guidelines issued by the Department of Health and Human Services. The Federal policy for the Protection of Human Subjects, which was based on Department of Health and Human Services regulations, was promulgated in Title 10 Code of Federal Regulations Part 745 by the Department of Energy. The purpose of this inspection was to review the internal control procedures used by the Office of Nonproliferation and National Security to manage selected intelligence and intelligence-related projects that involve human subject research.

  17. Swarm Intelligence for Urban Dynamics Modelling

    SciTech Connect (OSTI)

    Ghnemat, Rawan; Bertelle, Cyrille; Duchamp, Gerard H. E.

    2009-04-16

    In this paper, we propose swarm intelligence algorithms to deal with dynamical and spatial organization emergence. The goal is to model and simulate the developement of spatial centers using multi-criteria. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. We propose an extension of the ant nest building algorithm with multi-center and adaptive process. Typically, this model is suitable to analyse and simulate urban dynamics like gentrification or the dynamics of the cultural equipment in urban area.

  18. US, Russian intelligence agencies offer proliferation assessments

    SciTech Connect (OSTI)

    Wolfsthal, J.B.

    1993-03-01

    The CIA outlined for the Senate Governmental Affairs Committee (February 24, 1993) the prospects for the spread of nuclear, chemical, and biological weapons and ballistic missiles in the aftermath of the Cold War. The testimony came less than one month after the Russian Foreign Intelligence Service released an 118-page report that also stressed the importance of preventing proliferation of weapons of mass destruction. CIA testimony and the FIS report both provided details on several states of proliferation concern, including North Korea, Iran, India, and Pakistan.

  19. Artificial Retina Project: Electromagnetic and Thermal Effects

    SciTech Connect (OSTI)

    Lazzi, Gianluca

    2014-08-29

    This award supported the investigation on electromagnetic and thermal effects associated with the artificial retina, designed in collaboration with national laboratories, universities, and private companies. Our work over the two years of support under this award has focused mainly on 1) Design of new telemetry coils for optimal power and data transfer between the implant and the external device while achieving a significant size reduction with respect to currently used coils; 2) feasibility study of the virtual electrode configuration 3) study the effect of pulse shape and duration on the stimulation efficacy.

  20. Intelligent hand-portable proliferation sensing system

    SciTech Connect (OSTI)

    Dieckman, S.L.; Bostrom, G.A.; Waterfield, L.G.; Jendrzejczyk, J.A.; Ahuja, S.; Raptis, A.C.

    1997-08-01

    Argonne National Laboratory, with support from DOE`s Office of Nonproliferation and National Security, is currently developing an intelligent hand-portable sensor system. This system is designed specifically to support the intelligence community with the task of in-field sensing of nuclear proliferation and related activities. Based upon pulsed laser photo-ionization time-of-flight mass spectrometry technology, this novel sensing system is capable of quickly providing a molecular or atomic analysis of specimens. The system is capable of analyzing virtually any gas phase molecule, or molecule that can be induced into the gas phase by (for example) sample heating. This system has the unique advantages of providing unprecedented portability, excellent sensitivity, tremendous fieldability, and a high performance/cost ratio. The system will be capable of operating in a highly automated manner for on-site inspections, and easily modified for other applications such as perimeter monitoring aboard a plane or drone. The paper describes the sensing system.

  1. Science On Tap - From Trinity to Artificial Joints

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science On Tap - From Trinity to Artificial Joints Science On Tap - From Trinity to Artificial Joints WHEN: Jul 16, 2015 5:30 PM - 7:00 PM WHERE: UnQuarked Wine Room 145 Central Park Square, Los Alamos, New Mexico 87544, USA SPEAKER: Nathaniel Morgan, Los Alamos National Laboratory CONTACT: Jessica Privette 505 667-0375 CATEGORY: Bradbury INTERNAL: Calendar Login Science on Tap series Event Description From Trinity to artificial joints: How computational mathematics has transformed our world.

  2. Magnetic charge crystals imaged in artificial spin ice

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Magnetic charge crystals imaged in artificial spin ice Magnetic charge crystals imaged in artificial spin ice Potential data storage and computational advances could follow August 27, 2013 Potential data storage and computational advances could follow A 3-D depiction of the honeycomb artificial spin ice topography after the annealing and cooling protocols. The light and dark colors represent the north and south magnetic poles of the islands. Image by Ian Gilbert, U. of I. Department of Physics

  3. Stories of Discovery & Innovation: A Step Toward Artificial Photosynthesis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    | U.S. DOE Office of Science (SC) A Step Toward Artificial Photosynthesis Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights News & Events EFRC News EFRC Events DOE Announcements Publications History Contact BES Home 01.06.12 Stories of Discovery & Innovation: A Step Toward Artificial Photosynthesis Print Text Size: A A A Subscribe FeedbackShare Page EFRC researchers construct an artificial version of a bacterium's light-absorbing

  4. Spontaneous Pressure Regulation within Artificial Cells | U.S...

    Office of Science (SC) Website

    Spontaneous Pressure Regulation within Artificial Cells Simple human-made cellular analogues both sense and regulate in response to externally created stress. Print Text Size: A A ...

  5. De novo design of functional proteins: Toward artificial hydrogenases

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    De novo design of functional proteins: Toward artificial hydrogenases Authors: Faiella, M., Roy, A., Sommer, D., Ghirlanda, G. Title: De novo design of functional proteins: Toward ...

  6. Artificial Photosynthesis I - Design Principles for Light Harvesting

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    I Artificial Photosynthesis I - Design Principles for Light Harvesting FlemingSmall.png Key Challenges: Researchers measure a two-dimensional (2D) Fourier transform electronic...

  7. Science On Tap - From Trinity to Artificial Joints

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    artificial human joints, and biological implants, using MRI scanning software, radiation therapy and even creating cartoons is all done using computational mathematics. The world...

  8. MHK Technologies/Electroactive Polymer Artificial Muscle EPAM...

    Open Energy Info (EERE)

    that it uses SRI s Electroactive Polymer Artificial Muscle EPAM technology a rubbery material that can generate electricity by simply being stretched and allowed to return to its...

  9. Intelligent Software Agents: Sensor Integration and Response

    SciTech Connect (OSTI)

    Kulesz, James J; Lee, Ronald W

    2013-01-01

    Abstract In a post Macondo world the buzzwords are Integrity Management and Incident Response Management. The twin processes are not new but the opportunity to link the two is novel. Intelligent software agents can be used with sensor networks in distributed and centralized computing systems to enhance real-time monitoring of system integrity as well as manage the follow-on incident response to changing, and potentially hazardous, environmental conditions. The software components are embedded at the sensor network nodes in surveillance systems used for monitoring unusual events. When an event occurs, the software agents establish a new concept of operation at the sensing node, post the event status to a blackboard for software agents at other nodes to see , and then react quickly and efficiently to monitor the scale of the event. The technology addresses a current challenge in sensor networks that prevents a rapid and efficient response when a sensor measurement indicates that an event has occurred. By using intelligent software agents - which can be stationary or mobile, interact socially, and adapt to changing situations - the technology offers features that are particularly important when systems need to adapt to active circumstances. For example, when a release is detected, the local software agent collaborates with other agents at the node to exercise the appropriate operation, such as: targeted detection, increased detection frequency, decreased detection frequency for other non-alarming sensors, and determination of environmental conditions so that adjacent nodes can be informed that an event is occurring and when it will arrive. The software agents at the nodes can also post the data in a targeted manner, so that agents at other nodes and the command center can exercise appropriate operations to recalibrate the overall sensor network and associated intelligence systems. The paper describes the concepts and provides examples of real-world implementations

  10. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

    Shahab D. Mohaghegh; Jaime Toro; Thomas H. Wilson; Emre Artun; Alejandro Sanchez; Sandeep Pyakurel

    2005-08-01

    Today, the major challenge in reservoir characterization is integrating data coming from different sources in varying scales, in order to obtain an accurate and high-resolution reservoir model. The role of seismic data in this integration is often limited to providing a structural model for the reservoir. Its relatively low resolution usually limits its further use. However, its areal coverage and availability suggest that it has the potential of providing valuable data for more detailed reservoir characterization studies through the process of seismic inversion. In this paper, a novel intelligent seismic inversion methodology is presented to achieve a desirable correlation between relatively low-frequency seismic signals, and the much higher frequency wireline-log data. Vertical seismic profile (VSP) is used as an intermediate step between the well logs and the surface seismic. A synthetic seismic model is developed by using real data and seismic interpretation. In the example presented here, the model represents the Atoka and Morrow formations, and the overlying Pennsylvanian sequence of the Buffalo Valley Field in New Mexico. Generalized regression neural network (GRNN) is used to build two independent correlation models between; (1) Surface seismic and VSP, (2) VSP and well logs. After generating virtual VSP's from the surface seismic, well logs are predicted by using the correlation between VSP and well logs. The values of the density log, which is a surrogate for reservoir porosity, are predicted for each seismic trace through the seismic line with a classification approach having a correlation coefficient of 0.81. The same methodology is then applied to real data taken from the Buffalo Valley Field, to predict inter-well gamma ray and neutron porosity logs through the seismic line of interest. The same procedure can be applied to a complete 3D seismic block to obtain 3D distributions of reservoir properties with less uncertainty than the geostatistical

  11. The Intelligence Behind the Robotic-Enabled System | GE Global...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Intelligence Behind the Robotic-Enabled System Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) ...

  12. Adaptive method with intercessory feedback control for an intelligent agent

    DOE Patents [OSTI]

    Goldsmith, Steven Y.

    2004-06-22

    An adaptive architecture method with feedback control for an intelligent agent provides for adaptively integrating reflexive and deliberative responses to a stimulus according to a goal. An adaptive architecture method with feedback control for multiple intelligent agents provides for coordinating and adaptively integrating reflexive and deliberative responses to a stimulus according to a goal. Re-programming of the adaptive architecture is through a nexus which coordinates reflexive and deliberator components.

  13. Intelligent Software Agents for Enhancing Sensor Networks Monitoring of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Changing Conditions - Energy Innovation Portal Energy Analysis Energy Analysis Find More Like This Return to Search Intelligent Software Agents for Enhancing Sensor Networks Monitoring of Changing Conditions Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing SummaryIntelligent software agents developed by ORNL researchers can be used with sensor networks in distributed and centralized computing systems to enhance detection and response by sensors to

  14. Intelligent, self-contained robotic hand

    DOE Patents [OSTI]

    Krutik, Vitaliy; Doo, Burt; Townsend, William T.; Hauptman, Traveler; Crowell, Adam; Zenowich, Brian; Lawson, John

    2007-01-30

    A robotic device has a base and at least one finger having at least two links that are connected in series on rotary joints with at least two degrees of freedom. A brushless motor and an associated controller are located at each joint to produce a rotational movement of a link. Wires for electrical power and communication serially connect the controllers in a distributed control network. A network operating controller coordinates the operation of the network, including power distribution. At least one, but more typically two to five, wires interconnect all the controllers through one or more joints. Motor sensors and external world sensors monitor operating parameters of the robotic hand. The electrical signal output of the sensors can be input anywhere on the distributed control network. V-grooves on the robotic hand locate objects precisely and assist in gripping. The hand is sealed, immersible and has electrical connections through the rotary joints for anodizing in a single dunk without masking. In various forms, this intelligent, self-contained, dexterous hand, or combinations of such hands, can perform a wide variety of object gripping and manipulating tasks, as well as locomotion and combinations of locomotion and gripping.

  15. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

    Shixiao Wang; Herman Wiegman; Wilson Wu; John Down; Luana Iorio; Asha Devarajan; Jing Wang; Ralph Carl; Charlie Stephens; Jeannine Jones; Paul Szczesny

    2001-11-14

    This comprehensive topical report discusses the key findings in the development of a intelligent integrated blower for HVAC applications. The benefits of rearward inclined blades over that of traditional forward inclined blades is well documented and a prototype blower design is presented. A comparison of the proposed blower to that of three typical units from the industry is presented. The design of the blower housing is also addressed and the impact of size limitations on static efficiency is discussed. Issues of air flow controllability in the rearward inclined blower is addressed and a solution to this problem is proposed. Several motor design options are discussed including inside-out radial flux designs and novel axial flux designs, all are focused on the various blower needs. The control of the motor-blower and airflow through the use of a high density inverter stage and modern digital signal processor is presented. The key technical challenges of the approach are discussed. The use of the motor as a sensor in the larger heating/ventilating system is also discussed. Diagnostic results for both the motor itself and the blower system are presented.

  16. Scientist's Quest For Artificial Muscle Aided by PPPL | Princeton Plasma

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Physics Lab Scientist's Quest For Artificial Muscle Aided by PPPL PPPL collaborator Lenore Rasmussen, the sole proprietor of her Princeton-based, startup firm, Ras Labs, LLC, has the gift of serendipity. Two disparate life experiences sparked the polymer chemist's interest in the development of electro-responsive "smart materials" - electrically-driven polymers that are strong and durable enough to act as artificial muscles in prosthetic devices and robotics. Publication File: PDF

  17. Development of Artificial Ash Accelerated Accumulation Test | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Artificial Ash Accelerated Accumulation Test Development of Artificial Ash Accelerated Accumulation Test Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. p-04_fujii.pdf (138.91 KB) More Documents & Publications Impact of Honeycomb Ceramics Geometrical Cell Design on Urea SCR System Controlled Experiments on the Effects of Lubricant/Additive (Low-Ash, Ashless) Characteristics on DPF

  18. Artificial films mimic myelin sheath in new research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research This platform provides a model for robust implementation of phospholipid multilayers and a means toward future applications of functional phospholipid supramolecular assemblies in device integration. September 11, 2013 Schematic of robust hybrid model membrane Schematic of robust hybrid model membrane The journal ACS Nano published the research team's findings, and this is the first report

  19. Artificial Photosynthetic Reaction Center with a Coumarin-Based Antenna

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    System Artificial Photosynthetic Reaction Center with a Coumarin-Based Antenna System Authors: Garg, V., Kodis, G., Liddell, P., Terazono, Y., Moore, T., Moore, A., and Gust, D. Title: Artificial Photosynthetic Reaction Center with a Coumarin-Based Antenna System Source: Journal of Physical Chemistry B Year: 2013 Volume: 117 Pages: 11299-11308 ABSTRACT: In photosynthesis, sunlight is absorbed mainly by antenna chromophores that transfer singlet excitation energy to reaction centers for

  20. Artificial films mimic myelin sheath in new research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    September » Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research This platform provides a model for robust implementation of phospholipid multilayers and a means toward future applications of functional phospholipid supramolecular assemblies in device integration. September 11, 2013 Schematic of robust hybrid model membrane Schematic of robust hybrid model membrane The journal ACS Nano published the research team's findings, and this is the

  1. Cultural intelligence support for military operations

    SciTech Connect (OSTI)

    Guthormsen, Amy M.; MacKerrow, Edward P; Merritt, Terence M; Morgart, Ruth E

    2010-04-08

    It has long been recognized that military success relies on knowledge of the enemy. In the context of standard warfare, adequate knowledge of the enemy may be gained by analyzing observable, measurable data. In the context of modern counterinsurgency operations and the global war on terror, the task of predicting the behavior of the enemy is vastly more complex and difficult. Without an understanding of the ways individuals in the host nation interpret and react to events, no amount of objective information can provide the insight required to accurately predict behavior. US military doctrine has begun to recognize the importance of the many ways that local culture can affect operation success. Increasingly military decision makers use cultural information in the service of operation planning, and troops are provided with pre-deployment cultural training. However, no amount of training can cover the breadth and depth of potentially useful cultural information, and no amount of careful planning can avoid the need to adapt as situations develop. Therefore, a critical challenge is to provide useful tools to US personnel in their efforts to collect, analyze, and utilize cultural information. Essential functions for cultural support tools include the following: (1) to narrow down a broad range of available data and focus the user's attention on context-relevant information, (2) to present cultural information in an easily understood form, (3) to prompt the user to seek relevant information in the environment, (4) to synthesize information, and (5) to predict outcomes based on possible courses of operation. In this paper, we begin by reviewing the ways in which military operations can benefit from cultural intelligence. We then discuss frameworks for analyzing cultural information in the context of a military operation. We conclude with a demonstration of our current efforts to develop a tool that meets the aforementioned functional challenges.

  2. Proceedings of the 2009 Performance Metrics for Intelligent Systems Workshop

    SciTech Connect (OSTI)

    Madhavan, Raj; Messina, Elena

    2009-09-01

    The Performance Metrics for Intelligent Systems (PerMIS) workshop is dedicated to defining measures and methodologies of evaluating performance of intelligent systems. As the only workshop of its kind, PerMIS has proved to be an excellent forum for sharing lessons learned and discussions as well as fostering collaborations between researchers and practitioners from industry, academia and government agencies. The main theme of the ninth iteration of the workshop, PerMIS'09, seeks to address the question: 'Does performance measurement accelerate the pace of advancement for intelligent systems?' In addition to the main theme, as in previous years, the workshop will focus on applications of performance measures to practical problems in commercial, industrial, homeland security, and military applications. The PerMIS'09 program consists of six plenary addresses and six general and special sessions. The topics that are to be discussed by the speakers cover a wide array of themes centered on many intricate facets of intelligent system research. The presentations will emphasize and showcase the interdisciplinary nature of intelligent systems research and why it is not straightforward to evaluate such interconnected system of systems. The three days of twelve sessions will span themes from manufacturing, mobile robotics, human-system interaction, theory of mind, testing and evaluation of unmanned systems, to name a few.

  3. Intelligence Research Analyst, GS-132-9/11 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Intelligence Research Analyst, GS-132-911 Intelligence Research Analyst, GS-132-911 Job Announcement Number: 16-0002 Who May Apply: All qualified U.S. citizens Duty Location: 2...

  4. Leveraging Intelligent Vehicle Technologies to Maximize Fuel Economy (Presentation)

    SciTech Connect (OSTI)

    Gonder, J.

    2011-11-01

    Advancements in vehicle electronics, along with communication and sensing technologies, have led to a growing number of intelligent vehicle applications. Example systems include those for advanced driver information, route planning and prediction, driver assistance, and crash avoidance. The National Renewable Energy Laboratory is exploring ways to leverage intelligent vehicle systems to achieve fuel savings. This presentation discusses several potential applications, such as providing intelligent feedback to drivers on specific ways to improve their driving efficiency, and using information about upcoming driving to optimize electrified vehicle control strategies for maximum energy efficiency and battery life. The talk also covers the potential of Advanced Driver Assistance Systems (ADAS) and related technologies to deliver significant fuel savings in addition to providing safety and convenience benefits.

  5. Carotenoid Photoprotection in Artificial Photosynthetic Antennas

    SciTech Connect (OSTI)

    Kloz, Miroslav; Pillai, Smitha; Kodis, Gerdenis; Gust, Devens; Moore, Thomas A.; Moore, Ana L.; van Grondelle, Rienk; Kennis, John T. M.

    2011-04-14

    A series of phthalocyanine-carotenoid dyads in which a phenylamino group links a phthalocyanine to carotenoids having 8-11 backbone double bonds were examined by visible and near-infrared femtosecond pump-probe spectroscopy combined with global fitting analysis. The series of molecules has permitted investigation of the role of carotenoids in the quenching of excited states of cyclic tetrapyrroles. The transient behavior varied dramatically with the length of the carotenoid and the solvent environment. Clear spectroscopic signatures of radical species revealed photoinduced electron transfer as the main quenching mechanism for all dyads dissolved in a polar solvent (THF), and the quenching rate was almost independent of carotenoid length. However, in a nonpolar solvent (toluene), quenching rates displayed a strong dependence on the conjugation length of the carotenoid and the mechanism did not include charge separation. The lack of any rise time components of a carotenoid S1 signature in all experiments in toluene suggests that an excitonic coupling between the carotenoid S1 state and phthalocyanine Q state, rather than a conventional energy transfer process, is the major mechanism of quenching. A pronounced inhomogeneity of the system was observed and attributed to the presence of a phenyl-amino linker between phthalocyanine and carotenoids. On the basis of accumulated work on various caroteno-phthalocyanine dyads and triads, we have now identified three mechanisms of tetrapyrrole singlet excited state quenching by carotenoids in artificial systems: (i) Car-Pc electron transfer and recombination; (ii)1Pc to Car S1 energy transfer and fast internal conversion to the Car ground state; (iii) excitonic coupling between 1Pc and Car S1 and ensuing internal conversion to the ground state of the carotenoid. The dominant mechanism depends upon the exact molecular architecture and solvent environment

  6. Evaluating the performance of two neutron spectrum unfolding codes based on iterative procedures and artificial neural networks

    SciTech Connect (OSTI)

    Ortiz-Rodriguez, J. M.; Reyes Alfaro, A.; Reyes Haro, A.; Solis Sanches, L. O.; Miranda, R. Castaneda; Cervantes Viramontes, J. M.; Vega-Carrillo, H. R.

    2013-07-03

    In this work the performance of two neutron spectrum unfolding codes based on iterative procedures and artificial neural networks is evaluated. The first one code based on traditional iterative procedures and called Neutron spectrometry and dosimetry from the Universidad Autonoma de Zacatecas (NSDUAZ) use the SPUNIT iterative algorithm and was designed to unfold neutron spectrum and calculate 15 dosimetric quantities and 7 IAEA survey meters. The main feature of this code is the automated selection of the initial guess spectrum trough a compendium of neutron spectrum compiled by the IAEA. The second one code known as Neutron spectrometry and dosimetry with artificial neural networks (NDSann) is a code designed using neural nets technology. The artificial intelligence approach of neural net does not solve mathematical equations. By using the knowledge stored at synaptic weights on a neural net properly trained, the code is capable to unfold neutron spectrum and to simultaneously calculate 15 dosimetric quantities, needing as entrance data, only the rate counts measured with a Bonner spheres system. Similarities of both NSDUAZ and NSDann codes are: they follow the same easy and intuitive user's philosophy and were designed in a graphical interface under the LabVIEW programming environment. Both codes unfold the neutron spectrum expressed in 60 energy bins, calculate 15 dosimetric quantities and generate a full report in HTML format. Differences of these codes are: NSDUAZ code was designed using classical iterative approaches and needs an initial guess spectrum in order to initiate the iterative procedure. In NSDUAZ, a programming routine was designed to calculate 7 IAEA instrument survey meters using the fluence-dose conversion coefficients. NSDann code use artificial neural networks for solving the ill-conditioned equation system of neutron spectrometry problem through synaptic weights of a properly trained neural network. Contrary to iterative procedures, in neural

  7. 2020 Workplace and the Evolution of Business Intelligence

    SciTech Connect (OSTI)

    Hollis Henry; Troy Hiltbrand

    2012-03-01

    The work place is rapidly changing and will continue to change as the decade proceeds to 2020. Business Intelligence (BI) has many of the tools that will ensure that employees in this future work place can be successful and deal with these environmental changes. Ideas such as “swarming”, “hyper-connectedness”, “de-routinization of work” and “the collective” will morph employee engagement and those organizations with mature Business Intelligence practices will be prepared to support the success of their employees.

  8. Autonomous Intelligent Plug-In Hybrid Electric Vehicles (PHEVs) |

    Broader source: Energy.gov (indexed) [DOE]

    Department of Energy 12 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting vss092_malikopoulos_2012_p.pdf (922.92 KB) More Documents & Publications Autonomous Intelligent Hybrid Propulsion Systems The Meritor Dual Mode Hybrid Powertrain CRADA The Meritor Dual Mode Hybrid Powertrain CRADA

  9. Sandia National Laboratories: Research: Intelligent Systems, Robotics, &

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cybernetics: Factsheets Publications and Factsheets Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Publications and Factsheets Factsheets Intelligent Systems, Robotics, and Cybernetics (PDF, 991 KB) Gemini Scout - Mine Rescue Vehicle (PDF, 922 KB) One

  10. Sandia National Laboratories: Research: Intelligent Systems, Robotics, &

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cybernetics: Perception Perception and Decision Tools Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools 3-D World Model Building Visual Targeting Explosive Ordnance Disposal (EOD) Decision Support Tools Unique Mobility Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Perception & Decision Tools XTK Intelligent

  11. Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications

    SciTech Connect (OSTI)

    Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.

    2010-05-24

    This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.

  12. Lighting system combining daylight concentrators and an artificial source

    DOE Patents [OSTI]

    Bornstein, Jonathan G.; Friedman, Peter S.

    1985-01-01

    A combined lighting system for a building interior includes a stack of luminescent solar concentrators (LSC), an optical conduit made of preferably optical fibers for transmitting daylight from the LSC stack, a collimating lens set at an angle, a fixture for receiving the daylight at one end and for distributing the daylight as illumination inside the building, an artificial light source at the other end of the fixture for directing artifical light into the fixture for distribution as illumination inside the building, an automatic dimmer/brightener for the artificial light source, and a daylight sensor positioned near to the LSC stack for controlling the automatic dimmer/brightener in response to the daylight sensed. The system also has a reflector positioned behind the artificial light source and a fan for exhausting heated air out of the fixture during summer and for forcing heated air into the fixture for passage into the building interior during winter.

  13. De novo Design of an Artificial bis-[4Fe4S] Binding Protein

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    De novo Design of an Artificial bis-4Fe4S Binding Protein Authors: Roy, A,, Sarrou, I., Vaughn, M.D., Astashkin, A.V., and Ghirlanda, G. Title: De novo Design of an Artificial ...

  14. EMCS Modules/intelligent Time Clock (ITC). Final report 1977-1980

    SciTech Connect (OSTI)

    Shiroma, D.

    1980-09-01

    The CEL has developed a microprocessor-based intelligent time clock (ITC) for control of HVAC equipment. The ITC has the capability of operating as a stand-alone controller, or as part of a distributed large-scale Energy Monitoring and Control System (EMCS). The ITC has 'intelligence' to monitor actual environmental conditions and to base actual control functions on these data. Evaluation of the ITC has demonstrated that such 'intelligent' control devices can provide significant energy savings over conventional control devices.

  15. Artificial Cells for Advanced Drug Delivery - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Biomass and Biofuels Biomass and Biofuels Find More Like This Return to Search Artificial Cells for Advanced Drug Delivery Colorado School of Mines Contact CSM About This Technology Technology Marketing SummaryThis invention takes advantage of the unique surface chemistry of a ZnO crystalline nanostructure to catalyze a variety of chemical reactions. DescriptionOne such reaction is the hydrogenation of carbon dioxide to methanol. Alcohols interacts both molecularly and dissociatively with the

  16. Emergence of Artificial Photons in an Optical Lattice

    SciTech Connect (OSTI)

    Tewari, Sumanta; Scarola, V. W.; Sarma, S. Das; Senthil, T.

    2006-11-17

    We establish the theoretical feasibility of direct analog simulation of the compact U(1) lattice gauge theories in optical lattices with dipolar bosons. We discuss the realizability of the topological Coulomb phase in extended Bose-Hubbard models in several optical lattice geometries. We predict the testable signatures of this emergent phase in noise correlation measurements, thus suggesting the possible emergence of artificial light in optical lattices.

  17. Synthetic nanotubes lay foundation for new technology: Artificial pores

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    mimic key features of natural pores | Argonne National Laboratory Synthetic nanotubes lay foundation for new technology: Artificial pores mimic key features of natural pores By Tona Kunz * July 17, 2012 Tweet EmailPrint Scientists have overcome key design hurdles to expand the potential uses of nanopores and nanotubes. The creation of smart nanotubes with selective mass transport opens up a wider range of applications for water purification, chemical separation and fighting disease.

  18. Membranes with artificial free-volume for biofuel production

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Petzetakis, Nikos; Doherty, Cara M.; Thornton, Aaron W.; Chen, X. Chelsea; Cotanda, Pepa; Hill, Anita J.; Balsara, Nitash P.

    2015-06-24

    Free-volume of polymers governs transport of penetrants through polymeric films. Control over free-volume is thus important for the development of better membranes for a wide variety of applications such as gas separations, pharmaceutical purifications and energy storage. To date, methodologies used to create materials with different amounts of free-volume are based primarily on chemical synthesis of new polymers. Here we report a simple methodology for generating free-volume based on the self-assembly of polyethylene-b-polydimethylsiloxane-b-polyethylene triblock copolymers. Here, we have used this method to fabricate a series of membranes with identical compositions but with different amounts of free-volume. We use the termmore » artificial free-volume to refer to the additional free-volume created by self-assembly. The effect of artificial free-volume on selective transport through the membranes was tested using butanol/water and ethanol/water mixtures due to their importance in biofuel production. Moreover, we found that the introduction of artificial free-volume improves both alcohol permeability and selectivity.« less

  19. Membranes with artificial free-volume for biofuel production

    SciTech Connect (OSTI)

    Petzetakis, Nikos; Doherty, Cara M.; Thornton, Aaron W.; Chen, X. Chelsea; Cotanda, Pepa; Hill, Anita J.; Balsara, Nitash P.

    2015-06-24

    Free-volume of polymers governs transport of penetrants through polymeric films. Control over free-volume is thus important for the development of better membranes for a wide variety of applications such as gas separations, pharmaceutical purifications and energy storage. To date, methodologies used to create materials with different amounts of free-volume are based primarily on chemical synthesis of new polymers. Here we report a simple methodology for generating free-volume based on the self-assembly of polyethylene-b-polydimethylsiloxane-b-polyethylene triblock copolymers. Here, we have used this method to fabricate a series of membranes with identical compositions but with different amounts of free-volume. We use the term artificial free-volume to refer to the additional free-volume created by self-assembly. The effect of artificial free-volume on selective transport through the membranes was tested using butanol/water and ethanol/water mixtures due to their importance in biofuel production. Moreover, we found that the introduction of artificial free-volume improves both alcohol permeability and selectivity.

  20. An Adaptive Landscape Classification Procedure using Geoinformatics and Artificial Neural Networks

    SciTech Connect (OSTI)

    Coleman, Andre M.

    2008-08-01

    The Adaptive Landscape Classification Procedure (ALCP), which links the advanced geospatial analysis capabilities of Geographic Information Systems (GISs) and Artificial Neural Networks (ANNs) and particularly Self-Organizing Maps (SOMs), is proposed as a method for establishing and reducing complex data relationships. Its adaptive and evolutionary capability is evaluated for situations where varying types of data can be combined to address different prediction and/or management needs such as hydrologic response, water quality, aquatic habitat, groundwater recharge, land use, instrumentation placement, and forecast scenarios. The research presented here documents and presents favorable results of a procedure that aims to be a powerful and flexible spatial data classifier that fuses the strengths of geoinformatics and the intelligence of SOMs to provide data patterns and spatial information for environmental managers and researchers. This research shows how evaluation and analysis of spatial and/or temporal patterns in the landscape can provide insight into complex ecological, hydrological, climatic, and other natural and anthropogenic-influenced processes. Certainly, environmental management and research within heterogeneous watersheds provide challenges for consistent evaluation and understanding of system functions. For instance, watersheds over a range of scales are likely to exhibit varying levels of diversity in their characteristics of climate, hydrology, physiography, ecology, and anthropogenic influence. Furthermore, it has become evident that understanding and analyzing these diverse systems can be difficult not only because of varying natural characteristics, but also because of the availability, quality, and variability of spatial and temporal data. Developments in geospatial technologies, however, are providing a wide range of relevant data, and in many cases, at a high temporal and spatial resolution. Such data resources can take the form of high

  1. Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation.

    SciTech Connect (OSTI)

    Saffer, Shelley I.

    2014-12-01

    This is a final report of the DOE award DE-SC0001132, Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation. This document describes the achievements of the goals, and resulting research made possible by this award.

  2. Autonomic Intelligent Cyber Sensor (AICS) Version 1.0.1

    SciTech Connect (OSTI)

    2015-03-01

    The Autonomic Intelligent Cyber Sensor (AICS) provides cyber security and industrial network state awareness for Ethernet based control network implementations. The AICS utilizes collaborative mechanisms based on Autonomic Research and a Service Oriented Architecture (SOA) to: 1) identify anomalous network traffic; 2) discover network entity information; 3) deploy deceptive virtual hosts; and 4) implement self-configuring modules. AICS achieves these goals by dynamically reacting to the industrial human-digital ecosystem in which it resides. Information is transported internally and externally on a standards based, flexible two-level communication structure.

  3. Autonomic Intelligent Cyber Sensor (AICS) Version 1.0.1

    Energy Science and Technology Software Center (OSTI)

    2015-03-01

    The Autonomic Intelligent Cyber Sensor (AICS) provides cyber security and industrial network state awareness for Ethernet based control network implementations. The AICS utilizes collaborative mechanisms based on Autonomic Research and a Service Oriented Architecture (SOA) to: 1) identify anomalous network traffic; 2) discover network entity information; 3) deploy deceptive virtual hosts; and 4) implement self-configuring modules. AICS achieves these goals by dynamically reacting to the industrial human-digital ecosystem in which it resides. Information is transportedmore » internally and externally on a standards based, flexible two-level communication structure.« less

  4. User-Centered Design Guidelines for Collaborative Software for Intelligence Analysis

    SciTech Connect (OSTI)

    Scholtz, Jean; Endert, Alexander N.

    2014-08-01

    In this position paper we discuss the necessity of using User-Centered Design (UCD) methods in order to design collaborative software for the intelligence community. We present some standing issues in collaborative software based on existing work within the intelligence community. Based on this information we present opportunities to address some of these challenges.

  5. User-Centered Design Guidelines for Collaborative Software for Intelligence Analysis

    SciTech Connect (OSTI)

    Scholtz, Jean; Endert, Alexander

    2014-07-01

    In this position paper we discuss the necessity of using User-Centered Design (UCD) methods in order to design collaborative software for the intelligence community. We discuss a number of studies of collaboration in the intelligence community and use this information to provide some guidelines for collaboration software.

  6. 2016 American Council for an Energy-Efficient Economy (ACEEE) Intelligent

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Efficiency Conference | Department of Energy American Council for an Energy-Efficient Economy (ACEEE) Intelligent Efficiency Conference 2016 American Council for an Energy-Efficient Economy (ACEEE) Intelligent Efficiency Conference December 4, 2016 9:00AM EST to December 6, 2016 5:00PM EST Hilton Austin Austin, Texas

  7. Interated Intelligent Industrial Process Sensing and Control: Applied to and Demonstrated on Cupola Furnaces

    SciTech Connect (OSTI)

    Mohamed Abdelrahman; roger Haggard; Wagdy Mahmoud; Kevin Moore; Denis Clark; Eric Larsen; Paul King

    2003-02-12

    The final goal of this project was the development of a system that is capable of controlling an industrial process effectively through the integration of information obtained through intelligent sensor fusion and intelligent control technologies. The industry of interest in this project was the metal casting industry as represented by cupola iron-melting furnaces. However, the developed technology is of generic type and hence applicable to several other industries. The system was divided into the following four major interacting components: 1. An object oriented generic architecture to integrate the developed software and hardware components @. Generic algorithms for intelligent signal analysis and sensor and model fusion 3. Development of supervisory structure for integration of intelligent sensor fusion data into the controller 4. Hardware implementation of intelligent signal analysis and fusion algorithms

  8. Intelligent devices simplify remote SCADA installations in substations

    SciTech Connect (OSTI)

    Kopriva, V.J.

    1994-12-31

    Utilities are increasingly relying on Supervisory Control and Data Acquisition (SCADA) Systems for the effective and economical management of electric transmission and distribution systems. Now, advances in equipment and design technologies have created opportunities for an increased level of monitoring and control at electric power substations. In the past, prohibitive factors, including complicated equipment and wiring retrofits, protocol compatibility, and hardware installation and maintenance costs have impeded electric utilities in their attempt at broad based application of SCADA systems in electric substations, particularly at distribution voltage levels. These advances in equipment technologies have provided utilities with the opportunity to install and operate SCADA systems at lower cost, while providing flexibility for system expansion over longer periods. The development of intelligent microprocessor controlled devices and integrated communications has facilitated the use of a distributed design approach to installing SCADA monitoring and control in substations. This approach offers greater hardware flexibility and reduced installation costs while increasing reliability, making the addition of monitoring and control to electric substations increasingly practical. This paper will examine current trends in the application of intelligent microprocessor controlled and electronic devices, in stand alone and distributed applications, and the simplification of techniques for installing SCADA systems in substations. It will also consider the potential advantages to be realized in cost and reliability, and examine the necessary changes in design and operation philosophies required to effectively implement the new technology.

  9. Communication: Separable potential energy surfaces from multiplicative artificial neural networks

    SciTech Connect (OSTI)

    Koch, Werner, E-mail: wkoch@thethirdrock.net; Zhang, Dong H. [State Key Laboratory of Molecular Reaction Dynamics and Center for Theoretical Computational Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian (China)

    2014-07-14

    We present a potential energy surface fitting scheme based on multiplicative artificial neural networks. It has the sum of products form required for efficient computation of the dynamics of multidimensional quantum systems with the multi configuration time dependent Hartree method. Moreover, it results in analytic potential energy matrix elements when combined with quantum dynamics methods using Gaussian basis functions, eliminating the need for a local harmonic approximation. Scaling behavior with respect to the complexity of the potential as well as the requested accuracy is discussed.

  10. Nanoscale topographical replication of graphene architecture by artificial DNA nanostructures

    SciTech Connect (OSTI)

    Moon, Y.; Seo, S.; Park, J.; Park, T.; Ahn, J. R., E-mail: jrahn@skku.edu [Department of Physics, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Shin, J.; Dugasani, S. R. [Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Woo, S. H. [College of Pharmacy, Chungnam National University, Daejeon 305-764 (Korea, Republic of); Park, S. H., E-mail: sunghapark@skku.edu [Department of Physics, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746 (Korea, Republic of)

    2014-06-09

    Despite many studies on how geometry can be used to control the electronic properties of graphene, certain limitations to fabrication of designed graphene nanostructures exist. Here, we demonstrate controlled topographical replication of graphene by artificial deoxyribonucleic acid (DNA) nanostructures. Owing to the high degree of geometrical freedom of DNA nanostructures, we controlled the nanoscale topography of graphene. The topography of graphene replicated from DNA nanostructures showed enhanced thermal stability and revealed an interesting negative temperature coefficient of sheet resistivity when underlying DNA nanostructures were denatured at high temperatures.

  11. A Step Toward Artificial Photosynthesis | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    A Step Toward Artificial Photosynthesis News News Home Featured Articles 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 Science Headlines Science Highlights Presentations & Testimony News Archives Communications and Public Affairs Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 01.06.12 A Step Toward Artificial Photosynthesis EFRC researchers construct an artificial version of a bacterium's

  12. In-situ X-ray Photoelectron Spectroscopy of a Catalyst for Artificial

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Photosynthesis | Stanford Synchrotron Radiation Lightsource In-situ X-ray Photoelectron Spectroscopy of a Catalyst for Artificial Photosynthesis Monday, June 30, 2014 Plants and other organisms use a process called photosynthesis to produce carbohydrates and oxygen from water and carbon dioxide using sunlight. Artificial photosynthesis replicates this process to produce energy in the form of usable fuels for human needs. Researches have been developing devices for artificial photosynthesis,

  13. Modeling Drift Loss Cone Effects on the Trapping of an Artificial...

    Office of Scientific and Technical Information (OSTI)

    Conference: Modeling Drift Loss Cone Effects on the Trapping of an Artificial Radiation Belt Citation Details In-Document Search Title: Modeling Drift Loss Cone Effects on the ...

  14. Application Of An Artificial Neural Network Model To A Na-K Geothermom...

    Open Energy Info (EERE)

    for the artificial neural network. Reservoir temperatures of some geothermal fields in Turkey determined by this method are in accord with those determined from other methods....

  15. CX-008437: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Intelligent Casing - Intelligent Formations Telemetry (ICIFT) System CX(s) Applied: B3.6 Date: 06/27/2012 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  16. CX-008435: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Intelligent Casing - Intelligent Formations Telemetry (ICIFT) System CX(s) Applied: B3.6 Date: 06/27/2012 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  17. CX-008436: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Intelligent Casing - Intelligent Formations Telemetry (ICIFT) System CX(s) Applied: B3.6 Date: 06/27/2012 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  18. PDGFBB promotes PDGFR{alpha}-positive cell migration into artificial bone in vivo

    SciTech Connect (OSTI)

    Yoshida, Shigeyuki; Center for Human Metabolomic Systems Biology, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Iwasaki, Ryotaro; Kawana, Hiromasa; Miyauchi, Yoshiteru; Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582; Department of Integrated Bone Metabolism and Immunology, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Hoshi, Hiroko; Miyamoto, Hiroya; Mori, Tomoaki; Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Kanagawa, Hiroya; Katsuyama, Eri; Fujie, Atsuhiro; Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinano-machi, Shinjuku-ku, Tokyo 160-8582 ; Hao, Wu; and others

    2012-05-18

    Highlights: Black-Right-Pointing-Pointer We examined effects of PDGFBB in PDGFR{alpha} positive cell migration in artificial bones. Black-Right-Pointing-Pointer PDGFBB was not expressed in osteoblastic cells but was expressed in peripheral blood cells. Black-Right-Pointing-Pointer PDGFBB promoted PDGFR{alpha} positive cell migration into artificial bones but not osteoblast proliferation. Black-Right-Pointing-Pointer PDGFBB did not inhibit osteoblastogenesis. -- Abstract: Bone defects caused by traumatic bone loss or tumor dissection are now treated with auto- or allo-bone graft, and also occasionally by artificial bone transplantation, particularly in the case of large bone defects. However, artificial bones often exhibit poor affinity to host bones followed by bony union failure. Thus therapies combining artificial bones with growth factors have been sought. Here we report that platelet derived growth factor bb (PDGFBB) promotes a significant increase in migration of PDGF receptor {alpha} (PDGFR{alpha})-positive mesenchymal stem cells/pre-osteoblastic cells into artificial bone in vivo. Growth factors such as transforming growth factor beta (TGF{beta}) and hepatocyte growth factor (HGF) reportedly inhibit osteoblast differentiation; however, PDGFBB did not exhibit such inhibitory effects and in fact stimulated osteoblast differentiation in vitro, suggesting that combining artificial bones with PDGFBB treatment could promote host cell migration into artificial bones without inhibiting osteoblastogenesis.

  19. HyperForest: A high performance multi-processor architecture for real-time intelligent systems

    SciTech Connect (OSTI)

    Garcia, P. Jr.; Rebeil, J.P.; Pollard, H.

    1997-04-01

    Intelligent Systems are characterized by the intensive use of computer power. The computer revolution of the last few years is what has made possible the development of the first generation of Intelligent Systems. Software for second generation Intelligent Systems will be more complex and will require more powerful computing engines in order to meet real-time constraints imposed by new robots, sensors, and applications. A multiprocessor architecture was developed that merges the advantages of message-passing and shared-memory structures: expendability and real-time compliance. The HyperForest architecture will provide an expandable real-time computing platform for computationally intensive Intelligent Systems and open the doors for the application of these systems to more complex tasks in environmental restoration and cleanup projects, flexible manufacturing systems, and DOE`s own production and disassembly activities.

  20. ShanXi Xin Tong Intelligence Technical Co Ltd | Open Energy Informatio...

    Open Energy Info (EERE)

    materials,new materials,radiating heating system of floors,studiums constructions,tyres,arts and crafts,professional services. References: ShanXi Xin-Tong Intelligence Technical Co...

  1. National Air & Space Intelligence Center Holds Program About Empowering Women in the Workplace

    Broader source: Energy.gov [DOE]

    The National Air and Space Intelligence Center, Wright-Patterson Air Force Base, hosted a dialogue on addressing female employees' workplace concerns during an equal opportunity team event Sept. 18.

  2. Microsoft PowerPoint - Machine Learning with User Intelligence [Compatibility Mode]

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1872 This document is approved for public release; further dissemination unlimited Machine Learning with User Intelligence Machine Learning with User Intelligence Automated data analysis tools are unable to bridge the semantic gap between complex data and critical information. Advancing the Training Dialog and the Training Vocabulary moves machine learning into end-user environments Our advances in machine learning theory and algorithms can benefit a wide range of applications. * Interactive

  3. Agent Concept for Intelligent Distributed Coordination in the Electric Power Grid

    SciTech Connect (OSTI)

    SMATHERS, DOUGLAS C.; GOLDSMITH, STEVEN Y.

    2001-03-01

    Intelligent agents and multi-agent systems promise to take information management for real-time control of the power grid to a new level. This report presents our concept for intelligent agents to mediate and coordinate communications between Control Areas and Security Coordinators for real-time control of the power grid. An appendix describes the organizations and publications that deal with agent technologies.

  4. DOWNHOLE POWER GENERATION AND WIRELESS COMMUNICATIONS FOR INTELLIGENT COMPLETIONS APPLICATIONS

    SciTech Connect (OSTI)

    Paul Tubel

    2003-03-24

    The first quarter of the Downhole Power Generation and Wireless Communications for Intelligent Completions Applications was characterized by the evaluation and determination of the specifications required for the development of the system for permanent applications in wellbores to the optimization of hydrocarbon production. The system will monitor and transmit in real time pressure and temperature information from downhole using the production tubing as the medium for the transmission of the acoustic waves carrying digital information. The most common casing and tubing sizes were determined by interfacing with the major oil companies to obtain information related to their wells. The conceptual design was created for both the wireless gauge section of the tool as well as the power generation module. All hardware for the wireless gauge will be placed in an atmospheric pressure chamber located on the outside of a production tubing with 11.4 centimeter (4-1/2 inch) diameter. This mounting technique will reduce cost as well as the diameter and length of the tool and increase the reliability of the system. The power generator will use piezoelectric wafers to generate electricity based on the flow of hydrocarbons through an area in the wellbore where the tool will be deployed. The goal of the project is to create 1 Watt of power continuously.

  5. TIS (Technology Information System): The Intelligent Gateway Processor (IGP)

    SciTech Connect (OSTI)

    Hampel, V.E.; Barker, R.; Berch, M.; Kawin, R.; Lann, N.; McGrogan, S.; Sharpe, N.; Winiger, G.

    1984-10-01

    The Technology Information System (TIS) is an Intelligent Gateway Processor (IGP) capable of interconnecting heterogeneous information resources at geographically distributed locations in an automated, unified, and controlled manner. It augments the capabilities of personal computers and workstations of scientists and engineers by providing a shared directory to worldwide bibliographic and numeric resources and a library of self-guided procedures by which test, data, and graphs can be downloaded, reformatted, aggregated, analyzed, and shared among users and different host machines. The TIS link capability is used routinely for transcontinental tutorials and as a proactical means for the audiovisual linking of TIS users with experts at their respective locations. The IGP universal user interface permits changes and additions of available resources while running non-stop. The TIS/IGP at th Lawrence Livermore National Laboratory (LLNL) serves as the host system for several different communities of users who develop integrated information systems for personal and shared programmatic resources. The TIS local area network utilizes a 10 Mbps Ethernet which serves as a testbed for high-technology hardware and software.

  6. AN INTELLIGENT SENSOR FRAMEWORK FOR THE POWER GRID

    SciTech Connect (OSTI)

    Akyol, Bora A.; Haack, Jereme N.; Tews, Cody W.; Carpenter, Brandon J.; Kulkarni, Anand V.; Craig, Philip A.

    2011-08-10

    The number of sensors connected to the electric power system is expected to grow by several orders of magnitude by 2020. However, the information networks which will transmit and analyze the resulting data are ill-equipped to handle the resulting volume with reliable real-time delivery. Without the ability to manage and use this data, deploying sensors such as phasor measurement units in the transmission system and smart meters in the distribution system will not result in the desired improvements in the power grid. The ability to exploit the massive data being generated by new sensors would allow for more efficient flow of power and increased survivability of the grid. Additionally, the power systems of today are not capable of managing two-way power flow to accommodate distributed generation capabilities due to concerns about system stability and lack of system flexibility. The research that we are performing creates a framework to add 'intelligence' to the sensors and actuators being used today in the electric power system. Sensors that use our framework will be capable of sharing information through the various layers of the electric power system to enable two-way information flow to help facilitate integration of distributed resources. Several techniques are considered including use of peer-to-peer communication as well as distributed agents.

  7. Sensor Driven Intelligent Control System For Plasma Processing

    SciTech Connect (OSTI)

    Bell, G.; Campbell, V.B.

    1998-02-23

    This Cooperative Research and Development Agreement (CRADA) between Innovative Computing Technologies, Inc. (IC Tech) and Martin Marietta Energy Systems (MMES) was undertaken to contribute to improved process control for microelectronic device fabrication. Process data from an amorphous silicon thin film deposition experiment was acquired to validate the performance of an intelligent, adaptive, neurally-inspired control software module designed to provide closed loop control of plasma processing machines used in the microelectronics industry. Data acquisition software was written using LabView The data was collected from an inductively coupled plasma (ICP) source, which was available for this project through LMES's RF/Microwave Technology Center. Experimental parameters measured were RF power, RF current and voltage on the antenna delivering power to the plasma, hydrogen and silane flow rate, chamber pressure, substrate temperature and H-alpha optical emission. Experimental results obtained were poly-crystallin silicon deposition rate, crystallinity, crystallographic orientation and electrical conductivity. Owing to experimental delays resulting from hardware failures, it was not possible to assemble a complete data for IC Tech use within the time and resource constraints of the CRADA. IC Tech was therefore not able to verify the performance of their existing models and control structures and validate model performance under this CRADA.

  8. Artificial molecules that switch "handedness" at light-speed

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial molecules that switch "handedness" Artificial molecules that switch "handedness" at light-speed Researchers create the first artificial molecules whose chirality can be rapidly switched from a right-handed to a left-handed orientation with a beam of light. July 10, 2012 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience,

  9. Surface daytime net radiation estimation using artificial neural networks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010more » both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.« less

  10. Artificial Lift Systems Market is expected to reach USD 19,806...

    Open Energy Info (EERE)

    Artificial Lift Systems Market is expected to reach USD 19,806.8 Million by 2020 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150) Contributor...

  11. In-situ X-ray Photoelectron Spectroscopy of a Catalyst for Artificial...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Artificial photosynthesis replicates this process to produce energy in the form of usable ... JCAP, a multi-institute research program and the largest U.S. Department of Energy (DOE) ...

  12. Learning Competitive Intelligence from a Bunch of Screwballs

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-12-01

    Idaho National Laboratory is the Department of Energy’s (DOE) lead lab for nuclear energy research and is dedicated to supporting the advancement of missions in nuclear energy research, energy and environment, and national security. The laboratory is operated by Battelle Energy Alliance (BEA) and participates both independently and jointly with other labs in the support of work for the DOE and other government organizations. The Information Management department is a key support organization whose purpose is to enable the three key areas supporting the Laboratory mission, Nuclear Energy, National and Homeland Security, and Energy and Environment, are successful. The challenge that we face is having relevant information about what these key areas of the Laboratory are working on and how we can best support them in achieving overall mission success. In addition, one of the major challenges that they face comes with knowing their customers and their customer’s needs so that they can successfully execute on their mission. Technology Application Organizations today are dependent on understanding their customers and competitors so that they can respond accordingly, but this can be a difficult and vexing challenge. Customers do not always reveal all of their needs and competitors rarely come out and reveal what they are doing, but this does not mean that hints about their plans are not abundant in information that is readily available. The challenge has always been how to keep track of all that is happening and converting that into useful information. Taking the lead from the “Screwball Division” from World War II, we have the tools available to automate this process and start to mine the Internet to get clues of what our customers and competitors are actively working on. By looking at what is being said and relating that to what else is being said, we can build competitive intelligence and act upon this to further our organizational objectives.

  13. Intelligent Facial Recognition Systems: Technology advancements for security applications

    SciTech Connect (OSTI)

    Beer, C.L.

    1993-07-01

    Insider problems such as theft and sabotage can occur within the security and surveillance realm of operations when unauthorized people obtain access to sensitive areas. A possible solution to these problems is a means to identify individuals (not just credentials or badges) in a given sensitive area and provide full time personnel accountability. One approach desirable at Department of Energy facilities for access control and/or personnel identification is an Intelligent Facial Recognition System (IFRS) that is non-invasive to personnel. Automatic facial recognition does not require the active participation of the enrolled subjects, unlike most other biological measurement (biometric) systems (e.g., fingerprint, hand geometry, or eye retinal scan systems). It is this feature that makes an IFRS attractive for applications other than access control such as emergency evacuation verification, screening, and personnel tracking. This paper discusses current technology that shows promising results for DOE and other security applications. A survey of research and development in facial recognition identified several companies and universities that were interested and/or involved in the area. A few advanced prototype systems were also identified. Sandia National Laboratories is currently evaluating facial recognition systems that are in the advanced prototype stage. The initial application for the evaluation is access control in a controlled environment with a constant background and with cooperative subjects. Further evaluations will be conducted in a less controlled environment, which may include a cluttered background and subjects that are not looking towards the camera. The outcome of the evaluations will help identify areas of facial recognition systems that need further development and will help to determine the effectiveness of the current systems for security applications.

  14. Mimicking Nature - A Step Towards Artificial Photosynthesis| U.S. DOE

    Office of Science (SC) Website

    Office of Science (SC) Mimicking Nature - A Step Towards Artificial Photosynthesis Energy Frontier Research Centers (EFRCs) EFRCs Home Centers Research Science Highlights Highlight Archives News & Events Publications History Contact BES Home 05.03.12 Mimicking Nature - A Step Towards Artificial Photosynthesis Print Text Size: A A A FeedbackShare Page Scientific Achievement Built a synthetic light harvesting antenna which mimics those found in photosynthetic bacteria Significance and

  15. Designing artificial metal binding peptides | Center for Bio-Inspired Solar

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Fuel Production artificial metal binding peptides 24 Oct 2012 Dong Wang is a graduate student in the Department of Chemistry and Biochemistry at Arizona State University. He is working in the lab of Professor James Allen, who is leading the Subtask 2 of the Bisfuel Center (Water oxidation catalysts). Dong's research project is focused on design and characterization of artificial peptides capable of binding divalent metals with the aim to construct an efficient water oxidation catalyst that

  16. Products of an Artificially Induced Hydrothermal System at Yucca Mountain

    SciTech Connect (OSTI)

    S. Levy

    2000-08-07

    Studies of mineral deposition in the recent geologic past at Yucca Mountain, Nevada, address competing hypotheses of hydrothermal alteration and deposition from percolating groundwater. The secondary minerals being studied are calcite-opal deposits in fractures and lithophysal cavities of ash-flow tuffs exposed in the Exploratory Studies Facility (ESF), a 7.7-km tunnel excavated by the Yucca Mountain Site Characterization Project within Yucca Mountain. An underground field test in the ESF provided information about the minerals deposited by a short-lived artificial hydrothermal system and an opportunity for comparison of test products with the natural secondary minerals. The heating phase lasted nine months, followed by a nine-month cooling period. Natural pore fluids were the only source of water during the thermal test. Condensation and reflux of water driven away from the heater produced fluid flow in certain fractures and intersecting boreholes. The mineralogic products of the thermal test are calcite-gypsum aggregates of less than 4-micrometer crystals and amorphous silica as glassy scale less than 0.2 mm thick and as mounds of tubules with diameters less than 0.7 micrometers. The minute crystal sizes of calcite and gypsum from the field test are very different from the predominantly coarser calcite crystals (up to cm scale) in natural secondary-mineral deposits at the site. The complex micrometer-scale textures of the amorphous silica differ from the simple forms of opal spherules and coatings in the natural deposits, even though some natural spherules are as small as 1 micrometer. These differences suggest that the natural minerals, especially if they were of hydrothermal origin, may have developed coarser or simpler forms during subsequent episodes of dissolution and redeposition. The presence of gypsum among the test products and its absence from the natural secondary-mineral assemblage may indicate a higher degree of evaporation during the test than

  17. Surface daytime net radiation estimation using artificial neural networks

    SciTech Connect (OSTI)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010 both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.

  18. Interdisciplinary Dialogue for Education, Collaboration, and Innovation: Intelligent Biology and Medicine In and Beyond 2013

    SciTech Connect (OSTI)

    Zhang, Bing; Huang, Yufei; McDermott, Jason E.; Posey, Rebecca H.; Xu, Hua; Zhao, Zhongming

    2013-12-09

    The 2013 International Conference on Intelligent Biology and Medicine (ICIBM 2013) was held on August 11-13, 2013 in Nashville, Tennessee, USA. The conference included six scientific sessions, two tutorial sessions, one workshop, two poster sessions, and four keynote presentations that covered cutting-edge research topics in bioinformatics, systems biology, computational medicine, and intelligent computing. Here, we present a summary of the conference and an editorial report of the supplements to BMC Genomics and BMC Systems Biology that include 19 research papers selected from ICIBM 2013.

  19. Intelligent pigging: Policy, recent experience and needs of a petroleum operator

    SciTech Connect (OSTI)

    Roche, M.; Bonis, M.; Tobiassen, P.; MacLeod, D.; Pedersen, A.E.

    1996-08-01

    On-line inspection of pipelines using intelligent pigs constitutes a major aspect of corrosion control programs. The policy established by a petroleum operator is presented. It defines when base-line and early inspection surveys are considered necessary. The paper discusses the pros and cons of intelligent pigging operations and gives guidelines for deciding when to run in-service inspections to assess the condition of a pipeline and to verify the efficiency of corrosion control measures on a long term basis. It highlights factors like the estimated maximum corrosion rate, the positive change of actual corrosion allowance with time and the detection limits by the selected intelligent pigs. In the second part, a recent experience concerning the base-line survey of the Lille-Frigg 10 inch wet gas production pipeline in the North Sea using an ultrasonic pig is presented. The inlet of this pipeline is situated at a subsea manifold. The third part of the paper discusses aspects of intelligent pigging where difficulties are found and where improvements or new technological developments are needed.

  20. A Distributed Intelligent Automated Demand Response Building Management System

    SciTech Connect (OSTI)

    Auslander, David; Culler, David; Wright, Paul; Lu, Yan; Piette, Mary

    2013-12-30

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load

  1. Realizing three-dimensional artificial spin ice by stacking planar nano-arrays

    SciTech Connect (OSTI)

    Chern, Gia-Wei; Reichhardt, Charles; Nisoli, Cristiano

    2014-01-06

    Artificial spin ice is a frustrated magnetic two-dimensional nano-material, recently employed to study variety of tailor-designed unusual collective behaviours. Recently proposed extensions to three dimensions are based on self-assembly techniques and allow little control over geometry and disorder. We present a viable design for the realization of a three-dimensional artificial spin ice with the same level of precision and control allowed by lithographic nano-fabrication of the popular two-dimensional case. Our geometry is based on layering already available two-dimensional artificial spin ice and leads to an arrangement of ice-rule-frustrated units, which is topologically equivalent to that of the tetrahedra in a pyrochlore lattice. Consequently, we show, it exhibits a genuine ice phase and its excitations are, as in natural spin ice materials, magnetic monopoles interacting via Coulomb law.

  2. Effects of exchange bias on magnetotransport in permalloy kagome artificial spin ice

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Le, B. L.; Rench, D. W.; Misra, R.; O’Brien, L.; Leighton, C.; Samarth, N.; Schiffer, P.

    2015-02-01

    We investigate the magnetotransport properties of connected kagome artificial spin ice networks composed of permalloy nanowires. Our data show clear evidence of magnetic switching among the wires, both in the longitudinal and transverse magnetoresistance. An unusual asymmetry with field sweep direction appears at temperatures below about 20 K that appears to be associated with exchange bias resulting from surface oxidation of permalloy, and which disappears in alumina-capped samples. These results demonstrate that exchange bias is a phenomenon that must be considered in understanding the physics of such artificial spin ice systems, and that opens up new possibilities for their control.

  3. DOE-Funded Researchers Honored by R&D Magazine: Leader of DOE Artificial

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Researchers Honored by R&D Magazine DOE-Funded Researchers Honored by R&D Magazine October 20, 2005 - 12:23pm Addthis Leader of the DOE Artificial Retina Project Named "Innovator of the Year;" Scientists and Engineers at 12 DOE Labs Win 29 R&D 100 Awards for 2005 WASHINGTON, DC-Secretary of Energy Samuel W. Bodman today congratulated the leader of the Department of Energy's Artificial Retina Project, who has been honored as R&D Magazine's "Innovator of the

  4. Flaws Identification Using Eddy Current Differential Transducer and Artificial Neural Networks

    SciTech Connect (OSTI)

    Chady, T.; Lopato, P.

    2006-03-06

    In this paper we present a multi-frequency excitation eddy current differential transducer and dynamic neural models which were used to detect and identify artificial flaws in thin conducting plates. Plates are made of Inconel600. EDM notches have relative depth from 10% to 80% and length from 2 mm to 7 mm. All flaws were located on the opposite surface of the examined specimen. Measured signals were used as input for training and verifying dynamic neural networks with a moving window. Wide range of ANN (Artificial Neural Network) structures are examined for different window length and different number of frequency components in excitation signal. Observed trends are presented in this paper.

  5. Q-Deformed SU(1,1) and SU(2) squeezed and intelligent states and quantum entanglement

    SciTech Connect (OSTI)

    Rouabah, M. T.; Mebarki, N.; Ghiti, M. F.

    2012-06-27

    The intelligent states associated with the su{sub q} (1,1) and suq (2) q-deformed Lie algebra are investigated. The eigenvalue problem is also discussed.

  6. Artificial Solid Electrolyte Interphase to Address the Electrochemical Degradation of Silicon Electrodes

    SciTech Connect (OSTI)

    Dudney, Nancy J; Nanda, Jagjit; Liang, Chengdu; Li, Juchuan

    2014-01-01

    Electrochemical degradation on Si anodes prevents them from being successfully used in lithium-ion full cells. Unlike the case of graphite anodes, natural solid electrolyte interphase (SEI) films generated from carbonate electrolyte do not self-passivate on Si and causes continuous electrolyte decomposition. In this work we aim at solving the issue of electrochemical degradation by fabricating artificial SEI films using a solid electrolyte material, lithium phosphor oxynitride (Lipon), that conducts Li ions and blocks electrons. For Si anodes coated with Lipon of 50 nm or thicker, significant effect is observed in suppressing the electrolyte decomposition, while Lipon of thinner than 40 nm has little effect. Ionic and electronic conductivity measurement reveals that the artificial SEI is effective when it is a pure ionic conductor, and the electrolyte decomposition is not suppressed when the artificial SEI is a mixed electronic-ionic conductor. The critical thickness for this transition in conducting behavior is found to be 40~50 nm. This work provides guidance for designing artificial SEI for high capacity lithium-ion battery electrodes using solid electrolyte materials.

  7. First results of a polychromatic artificial sodium star for the correction of tilt

    SciTech Connect (OSTI)

    Friedman, H.; Foy, R..; Tallon, M.; Migus, A.

    1996-03-06

    This paper presents the first results of a joint experiment carried out at Lawrence Livermore National Laboratory during January, 1996. Laser and optical systems were tested to provide a polychromatic artificial sodium star for the correction of tilt. This paper presents the results of that experiment.

  8. Report on the Intelligence Oversight Inspection of the Special Technologies Laboratory, INS-9601

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    OFFICE OF INSPECTOR GENERAL REPORT ON THE INTELLIGENCE OVERSIGHT INSPECTION OF THE SPECIAL TECHNOLOGIES LABORATORY The Office of Inspector General wants to make the distribution of its reports as customer friendly and cost effective as possible. Therefore, this report will be available electronically through the Internet five to seven days after publication at the following alternmative addresses: Department of Energy Headquarters Gopher gopher.hr.doe.gov Department of Energy Headquarters

  9. Dallas area-wide intelligent transportation system plan. Draft research report, August 1992-August 1996

    SciTech Connect (OSTI)

    Carvell, J.D.; Seymour, E.J.; Walters, C.H.; Starr, T.R.; Balke, K.

    1996-07-01

    This report documents the development of a comprehensive plan for implementation of Intelligent Transportation Systems (ITS) in the Dallas Urban Area. The contract defined objectives: Develop a Broadly Based Steering Committee; Assess Existing Transportation Management Systems and Potential ITS Technology; Identify Institutional Issues and Legal Barriers; Develop an Implementable, Area-Wide Multi-Jurisdictional ITS Plan; and Develop Cost, Benefits, and an Implementation Plan.

  10. From Artificial Atoms to Nanocrystal Molecules: Preparation and Properties of More Complex Nanostructures

    SciTech Connect (OSTI)

    Choi, Charina L; Alivisatos, A Paul

    2009-10-20

    Quantum dots, which have found widespread use in fields such as biomedicine, photovoltaics, and electronics, are often called artificial atoms due to their size-dependent physical properties. Here this analogy is extended to consider artificial nanocrystal molecules, formed from well-defined groupings of plasmonically or electronically coupled single nanocrystals. Just as a hydrogen molecule has properties distinct from two uncoupled hydrogen atoms, a key feature of nanocrystal molecules is that they exhibit properties altered from those of the component nanoparticles due to coupling. The nature of the coupling between nanocrystal atoms and its response to vibrations and deformations of the nanocrystal molecule bonds are of particular interest. We discuss synthetic approaches, predicted and observed physical properties, and prospects and challenges toward this new class of materials.

  11. Magnetic vortex crystal formation in the antidot complement of square artificial spin ice

    SciTech Connect (OSTI)

    Araujo, C. I. L. de Silva, R. C.; Ribeiro, I. R. B.; Nascimento, F. S.; Felix, J. F.; Ferreira, S. O.; Moura-Melo, W. A.; Pereira, A. R.; Ml, L. A. S.

    2014-03-03

    We have studied ferromagnetic nickel thin films patterned with square lattices of elongated antidots that are negative analogues of square artificial spin ice. Micromagnetic simulations and direct current magnetic moment measurements reveal in-plane anisotropy of the magnetic hysteresis loops, and the formation of a dense array of magnetic vortices with random polarization and chirality. These multiply-connected antidot arrays could be superior to lattices of disconnected nanodisks for investigations of vortex switching by applied electric current.

  12. "Artificial" brains, electrical grids, and disease modeling: Los Alamos

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    science discoveries unveiled September 15 Science discoveries unveiled "Artificial" brains, electrical grids, and disease modeling: Los Alamos science discoveries unveiled September 15 The event is an opportunity for business leaders and community members to learn about where science is heading, as well as for students to discover potential new career directions. September 8, 2009 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez

  13. Stacking Semiconductors for Artificial Photosynthesis | U.S. DOE Office of

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science (SC) Stacking Semiconductors for Artificial Photosynthesis Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information » 05.01.15 Stacking

  14. Temperature and magnetic-field driven dynamics in artificial magnetic square ice

    SciTech Connect (OSTI)

    Sophie A. Morley; Stein, Aaron; Rosamond, Mark C.; Venero, Diego Alba; Hrabec, Ales; Shepley, Philippa M.; Im, Mi -Young; Fischer, Peter; Bryan, Matthew T.; Allwood, Dan A.; Steadman, Paul; Langridge, Sean; Marrows, Christopher H.

    2015-08-09

    Artificial spin ices are often spoken of as being realisations of some of the celebrated vertex models of statistical mechanics, where the exact microstate of the system can be imaged using advanced magnetic microscopy methods. The fact that a stable image can be formed means that the system is in fact athermal and not undergoing the usual finite-temperature fluctuations of a statistical mechanical system. In this paper we report on the preparation of artificial spin ices with islands that are thermally fluctuating due to their very small size. The relaxation rate of these islands was determined using variable frequency focused magneto-optic Kerr measurements. We performed magnetic imaging of artificial spin ice under varied temperature and magnetic field using X-ray transmission microscopy which uses X-ray magnetic circular dichroism to generate magnetic contrast. Furthermore, we have developed an on-membrane heater in order to apply temperatures in excess of 700 K and have shown increased dynamics due to higher temperature. Due to the ‘photon-in, photon-out' method employed here, it is the first report where it is possible to image the microstates of an ASI system under the simultaneous application of temperature and magnetic field, enabling the determination of relaxation rates, coercivties, and the analysis of vertex population during reversal.

  15. Temperature and magnetic-field driven dynamics in artificial magnetic square ice

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Sophie A. Morley; Stein, Aaron; Rosamond, Mark C.; Venero, Diego Alba; Hrabec, Ales; Shepley, Philippa M.; Im, Mi -Young; Fischer, Peter; Bryan, Matthew T.; Allwood, Dan A.; et al

    2015-08-09

    Artificial spin ices are often spoken of as being realisations of some of the celebrated vertex models of statistical mechanics, where the exact microstate of the system can be imaged using advanced magnetic microscopy methods. The fact that a stable image can be formed means that the system is in fact athermal and not undergoing the usual finite-temperature fluctuations of a statistical mechanical system. In this paper we report on the preparation of artificial spin ices with islands that are thermally fluctuating due to their very small size. The relaxation rate of these islands was determined using variable frequency focusedmore » magneto-optic Kerr measurements. We performed magnetic imaging of artificial spin ice under varied temperature and magnetic field using X-ray transmission microscopy which uses X-ray magnetic circular dichroism to generate magnetic contrast. Furthermore, we have developed an on-membrane heater in order to apply temperatures in excess of 700 K and have shown increased dynamics due to higher temperature. Due to the ‘photon-in, photon-out' method employed here, it is the first report where it is possible to image the microstates of an ASI system under the simultaneous application of temperature and magnetic field, enabling the determination of relaxation rates, coercivties, and the analysis of vertex population during reversal.« less

  16. CX-011072: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Intelligent Blow Out Preventers RAM Actuation Sensor System CX(s) Applied: A9, B3.6 Date: 08/28/2013 Location(s): Massachusetts Offices(s): National Energy Technology Laboratory

  17. CX-011073: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Intelligent Blow Out Preventers RAM Actuation Sensor System CX(s) Applied: A9, B3.6 Date: 08/28/2013 Location(s): New York Offices(s): National Energy Technology Laboratory

  18. CX-010457: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Intelligent Coordination of Heterogeneous Sensors in Advanced Power Systems CX(s) Applied: A9 Date: 06/12/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  19. CX-010926: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition, and Decision... CX(s) Applied: A9 Date: 09/25/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  20. CX-010927: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition, and Decision... CX(s) Applied: A9 Date: 09/25/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  1. CX-014252: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Intelligent Monitoring System (IMS) Modules for the Aquistore Carbon Dioxide CX(s) Applied: A9Date: 09/04/2015 Location(s): North DakotaOffices(s): National Energy Technology Laboratory

  2. CX-011071: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Intelligent Blow Out Preventers RAM Actuation Sensor System CX(s) Applied: A9, B3.6 Date: 08/28/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  3. CX-001555: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Intelligent Transportation System Phase 1 (T1)CX(s) Applied: B5.1Date: 03/31/2010Location(s): Saint Louis, MissouriOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. Develop feedback system for intelligent dynamic resource allocation to improve application performance.

    SciTech Connect (OSTI)

    Gentile, Ann C.; Brandt, James M.; Tucker, Thomas; Thompson, David

    2011-09-01

    This report provides documentation for the completion of the Sandia Level II milestone 'Develop feedback system for intelligent dynamic resource allocation to improve application performance'. This milestone demonstrates the use of a scalable data collection analysis and feedback system that enables insight into how an application is utilizing the hardware resources of a high performance computing (HPC) platform in a lightweight fashion. Further we demonstrate utilizing the same mechanisms used for transporting data for remote analysis and visualization to provide low latency run-time feedback to applications. The ultimate goal of this body of work is performance optimization in the face of the ever increasing size and complexity of HPC systems.

  5. TIS: an Intelligent Gateway Computer for information and modeling networks. Overview

    SciTech Connect (OSTI)

    Hampel, V.E.; Bailey, C.; Kawin, R.A.; Lann, N.A.; McGrogan, S.K.; Scott, W.S.; Stammers, S.M.; Thomas, J.L.

    1983-08-01

    The Technology Information System (TIS) is being used to develop software for Intelligent Gateway Computers (IGC) suitable for the prototyping of advanced, integrated information networks. Dedicated to information management, TIS leads the user to available information resources, on TIS or elsewhere, by means of a master directory and automated access procedures. Other geographically distributed information centers accessible through TIS include federal and commercial systems like DOE/RECON, NASA/RECON, DOD/DROLS, DOT/TIC, CIS, and DIALOG in the United States, the chemical information systems DARC in France, and DECHEMA in West Germany. New centers are added as required.

  6. Proceedings of the Workshop on software tools for distributed intelligent control systems

    SciTech Connect (OSTI)

    Herget, C.J.

    1990-09-01

    The Workshop on Software Tools for Distributed Intelligent Control Systems was organized by Lawrence Livermore National Laboratory for the United States Army Headquarters Training and Doctrine Command and the Defense Advanced Research Projects Agency. The goals of the workshop were to the identify the current state of the art in tools which support control systems engineering design and implementation, identify research issues associated with writing software tools which would provide a design environment to assist engineers in multidisciplinary control design and implementation, formulate a potential investment strategy to resolve the research issues and develop public domain code which can form the core of more powerful engineering design tools, and recommend test cases to focus the software development process and test associated performance metrics. Recognizing that the development of software tools for distributed intelligent control systems will require a multidisciplinary effort, experts in systems engineering, control systems engineering, and compute science were invited to participate in the workshop. In particular, experts who could address the following topics were selected: operating systems, engineering data representation and manipulation, emerging standards for manufacturing data, mathematical foundations, coupling of symbolic and numerical computation, user interface, system identification, system representation at different levels of abstraction, system specification, system design, verification and validation, automatic code generation, and integration of modular, reusable code.

  7. Robots with AI: A retrospective on the AAAI robot competitions...

    Office of Scientific and Technical Information (OSTI)

    Resource Relation: Conference: 13. National conference on artifical intelligence and the 8. Innovative applications of artificial intelligence conference, Portland, OR (United ...

  8. Pulse imaging and nonadiabatic control of solid-state artificial atoms

    SciTech Connect (OSTI)

    Bylander, Jonas; Rudner, Mark S.; Shytov, Andrey V.; Valenzuela, Sergio O.; Berns, David M.; Berggren, Karl K.; Levitov, Leonid S.; Oliver, William D.

    2009-12-01

    Transitions in an artificial atom, driven nonadiabatically through an energy-level avoided crossing, can be controlled by carefully engineering the driving protocol. We have driven a superconducting persistent-current qubit with a large-amplitude radio-frequency field. By applying a biharmonic wave form generated by a digital source, we demonstrate a mapping between the amplitude and phase of the harmonics produced at the source and those received by the device. This allows us to image the actual wave form at the device. This information is used to engineer a desired time dependence, as confirmed by the detailed comparison with a simulation.

  9. Method for improving product yields in an anionic metalloporphyrin-based artificial photosynthesis system

    DOE Patents [OSTI]

    Shelnutt, J.A.

    1984-11-29

    A method is disclosed improving product yields in an anionic metalloporphyrin-based artificial photosynthesis system for hydrogen generation. The method comprises forming an aqueous solution comprising an electron donor, methylviologen, and certain metalloporphyrins and metallochlorins, and irradiating said aqueous solution with light in the presence of a catalyst. In the photosynthesis process, solar energy is collected and stored in the form of a hydrogen. Ligands attached above and below the metalloporphyrin and metallochlorin plane are capable of sterically blocking photochemically inactive electrostatically bound ..pi..-..pi.. complexes which can develop.

  10. Method for improving product yields in an anionic metalloporphyrin-based artificial photosynthesis system

    DOE Patents [OSTI]

    Shelnutt, John A.

    1986-01-01

    A method for improving product yields in an anionic metalloporphyrin-based artificial photosynthesis system for hydrogen generation which comprises forming an aqueous solution comprising an electron donor, methylviologen, and certain metalloporphyrins and metallochlorins, and irradiating said aqueous solution with light in the presence of a catalyst. In the photosynthesis process, solar energy is collected and stored in the form of a gas hydrogen. Ligands attached above and below the metalloporphyrin and metallochlorin plane are capable of sterically blocking photochemically inactive electrostatically bound .pi.--.pi. complexes which can develop.

  11. Protection of the female reproductive system from natural and artificial insults

    DOE Patents [OSTI]

    Tilly, Jonathan L.; Kolesnick, Richard N.

    2010-12-14

    Described are methods for protecting the female reproductive system against natural and artificial insults by administering to women a composition comprising an agent that antagonizes one or more acid sphingomyelinase (ASMase) gene products. Specifically, methods disclosed herein serve to protect women's germline from damage resulting from cancer therapy regimens including chemotherapy or radiotherapy. In one aspect, the method preserves, enhances, or revives ovarian function in women, by administering to women a composition containing sphingosine-1-phosphate, or an analog thereof. Also disclosed are methods to prevent or ameliorate menopausal syndromes and to improve in vitro fertilization techniques.

  12. Intelligent Cities

    Energy Savers [EERE]

    in U.S. economy associated with weather variability is estimated at 485 Billion Air pollution causes 200,000 early deaths annually in the U.S. Together Toward Tomorrow | 2016 ...

  13. Prediction of U-Mo dispersion nuclear fuels with Al-Si alloy using artificial neural network

    SciTech Connect (OSTI)

    Susmikanti, Mike; Sulistyo, Jos

    2014-09-30

    Dispersion nuclear fuels, consisting of U-Mo particles dispersed in an Al-Si matrix, are being developed as fuel for research reactors. The equilibrium relationship for a mixture component can be expressed in the phase diagram. It is important to analyze whether a mixture component is in equilibrium phase or another phase. The purpose of this research it is needed to built the model of the phase diagram, so the mixture component is in the stable or melting condition. Artificial neural network (ANN) is a modeling tool for processes involving multivariable non-linear relationships. The objective of the present work is to develop code based on artificial neural network models of system equilibrium relationship of U-Mo in Al-Si matrix. This model can be used for prediction of type of resulting mixture, and whether the point is on the equilibrium phase or in another phase region. The equilibrium model data for prediction and modeling generated from experimentally data. The artificial neural network with resilient backpropagation method was chosen to predict the dispersion of nuclear fuels U-Mo in Al-Si matrix. This developed code was built with some function in MATLAB. For simulations using ANN, the Levenberg-Marquardt method was also used for optimization. The artificial neural network is able to predict the equilibrium phase or in the phase region. The develop code based on artificial neural network models was built, for analyze equilibrium relationship of U-Mo in Al-Si matrix.

  14. DOE Selects Nine Projects to Receive Funding for Carbon Storage Intelligent Monitoring and Well Integrity and Mitigation Research

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) has selected nine projects to receive funding to research new CO2 storage technologies devoted to intelligent monitoring systems and advanced well integrity and mitigation approaches through DOE’s Carbon Storage Program.

  15. Snag characteristics and dynamics following natural and artificially induced mortality in a managed loblolly pine forest.

    SciTech Connect (OSTI)

    Zarnoch, Stanley J.; Vukovich, Mark A.; Kilgo, John C.; Blake, John I.

    2013-06-10

    A 14-year study of snag characteristics was established in 41- to 44-year old loblolly pine (Pinus taeda L.) stands in southeastern USA. During the initial 5.5 years, no stand manipulation or unusually high-mortality events occurred. Afterwards, three treatments were applied consisting of trees thinned and removed, trees felled and not removed, and artificial creation of snags produced by girdling and herbicide injection. The thinned treatments were designed to maintain the same live canopy density as the snag-created treatment, disregarding snags that remained standing.We monitored snag height, diameter, density, volume, and bark percentage; the number of cavities was monitored in natural snags only. During the first 5.5 years, recruitment and loss rates were stable, resulting in a stable snag population. Large snags (?25 cm diameter) were common, but subcanopy small snags (10 to <25 cm diameter) dominated numerically. Large natural snags survived (90% quantile) significantly longer (6.09.4 years) than smaller snags (4.46.9 years). Large artificial snags persisted the longest (11.8 years). Cavities in natural snags developed within 3 years following tree death. The mean number of cavities per snag was five times greater in large versus small snags and large snags were more likely to have multiple cavities, emphasizing the importance of mature pine stands for cavity-dependent wildlife species.

  16. Realizing InGaN monolithic solar-photoelectrochemical cells for artificial photosynthesis

    SciTech Connect (OSTI)

    Dahal, R.; Pantha, B. N.; Li, J.; Lin, J. Y.; Jiang, H. X., E-mail: hx.jiang@ttu.edu [Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, Texas 79409 (United States)

    2014-04-07

    InGaN alloys are very promising for solar water splitting because they have direct bandgaps that cover almost the whole solar spectrum. The demonstration of direct solar-to-fuel conversion without external bias with the sunlight being the only energy input would pave the way for realizing photoelectrochemical (PEC) production of hydrogen by using InGaN. A monolithic solar-PEC cell based on InGaN/GaN multiple quantum wells capable to directly generate hydrogen gas under zero bias via solar water splitting is reported. Under the irradiation by a simulated sunlight (1-sun with 100 mW/cm{sup 2}), a 1.5% solar-to-fuel conversion efficiency has been achieved under zero bias, setting a fresh benchmark of employing III-nitrides for artificial photosynthesis. Time dependent hydrogen gas production photocurrent measured over a prolonged period (measured for 7 days) revealed an excellent chemical stability of InGaN in aqueous solution of hydrobromic acid. The results provide insights into the architecture design of using InGaN for artificial photosynthesis to provide usable clean fuel (hydrogen gas) with the sunlight being the only energy input.

  17. Comparative toxicity of pentachlorophenol to three earthworm species in artificial soil

    SciTech Connect (OSTI)

    Fitzgerald, D.; Lanno, R.P.; Farwell, A.; Dixon, D.G.

    1994-12-31

    Although methods for standardized toxicity tests with earthworms exist, many of the test parameters and conditions have not been validated in actual tests and with different species of worms. This study evaluated the toxicity of pentachlorophenol (PCP) to three species of earthworms, Lumbricus terrestris, Eisenia fetida, and Eudrilus eugeniae using various methods of data analysis and body residues. Tests were conducted in artificial soil for a period of 28 days or until an Acute Lethality Threshold (ALT) was reached. An intensive temporal sampling regime was applied to generate sufficient data for the accurate estimation of ALTs using both LC50/time and time-to-death/soil concentration methods of data analysis. L. terrestris was tested at 15 C, E. eugeniae at 24 C, and E. fetida at both temperatures. Total body residues of PCP were measured by GC following cryogenic separation of the lipid fraction of the worm. ALTs were significantly different between E. fetida and the two larger species of worms. No effect of temperature on the ALT for E. fetida was observed, although the time taken to reach the ALT increased at the lower temperature. The relationship of PCP residues at mortality will be discussed in terms of the effects of species, body size and temperature. Limitations of the artificial soil based upon growth curves of worms will also be examined.

  18. Prediction of the thickness of the compensator filter in radiation therapy using computational intelligence

    SciTech Connect (OSTI)

    Dehlaghi, Vahab; Taghipour, Mostafa; Haghparast, Abbas; Roshani, Gholam Hossein; Rezaei, Abbas; Shayesteh, Sajjad Pashootan; Adineh-Vand, Ayoub; Karimi, Gholam Reza

    2015-04-01

    In this study, artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) are investigated to predict the thickness of the compensator filter in radiation therapy. In the proposed models, the input parameters are field size (S), off-axis distance, and relative dose (D/D{sub 0}), and the output is the thickness of the compensator. The obtained results show that the proposed ANN and ANFIS models are useful, reliable, and cheap tools to predict the thickness of the compensator filter in intensity-modulated radiation therapy.

  19. A framework for developing a mimetic tensor artificial viscosity for Lagrangian hydrocodes on arbitrary polygonal and polyhedral meshes (u)

    SciTech Connect (OSTI)

    Lipnikov, Konstantin; Shashkov, Mikhail

    2011-01-11

    We construct a new mimetic tensor artificial viscosity on general polygonal and polyhedral meshes. The tensor artificial viscosity is based on a mimetic discretization of coordinate invariant operators, divergence of a tensor and gradient of a vector. The focus of this paper is on the symmetric form, div ({mu},{var_epsilon}(u)), of the tensor artificial viscosity where {var_epsilon}(u) is the symmetrized gradient of u and {mu}, is a tensor. The mimetic discretizations of this operator is derived for the case of a full tensor coefficient {mu}, that may reflect a shock direction. We demonstrate performance of the new viscosity for the Noh implosion, Sedov explosion and Saltzman piston problems in both Cartesian and axisymmetric coordinate systems.

  20. Use of Microarray Test Data for Toxicogenomic Prediction-Multi-Intelligent Systems for Toxicogenomic Applications (MISTA)

    SciTech Connect (OSTI)

    Wasson, J.S.; Lu, P.-Y.

    2005-09-12

    The YAHSGS LLC and Oak Ridge National Laboratory established a CRADA to develop a computational neural network and wavelets software to facilitate providing national needs for toxicity prediction and overcome the voracious drain of resources (money and time) being directed to the development of pharmaceutical agents. The research project was supported through a STTR Phase I task by NIEHS in 2004. The research deploys state-of-the-art computational neural networks and wavelets to make toxicity prediction on three independent bases: (1) quantitative structure-activity relationships, (2) microarray data, and (3) Massively Parallel Signature Sequencing technology. Upon completion of Phase I, a prototype software Multi-Intelligent System for Toxicogenomic and Applications (MISTA) was developed, the utility's feasibility was demonstrated, and a Phase II proposal was jointly prepared and submitted to NIEHS for funding evaluation. The goals and objectives of the program have been achieved.

  1. Intelligent Computing System for Reservoir Analysis and Risk Assessment of Red River Formation, Class Revisit

    SciTech Connect (OSTI)

    Sippel, Mark A.

    2002-09-24

    Integrated software was written that comprised the tool kit for the Intelligent Computing System (ICS). The software tools in ICS are for evaluating reservoir and hydrocarbon potential from various seismic, geologic and engineering data sets. The ICS tools provided a means for logical and consistent reservoir characterization. The tools can be broadly characterized as (1) clustering tools, (2) neural solvers, (3) multiple-linear regression, (4) entrapment-potential calculator and (5) combining tools. A flexible approach can be used with the ICS tools. They can be used separately or in a series to make predictions about a desired reservoir objective. The tools in ICS are primarily designed to correlate relationships between seismic information and data obtained from wells; however, it is possible to work with well data alone.

  2. Millimeter-wave radar sensor for automotive intelligent cruise control (ICC)

    SciTech Connect (OSTI)

    Russell, M.E.; Crain, A.; Curran, A.; Campbell, R.A.; Drubin, C.A.; Miccioli, W.F.

    1997-12-01

    If automotive intelligent cruise-control (ICC) systems are to be successful in the marketplace, they must provide robust performance in a complex roadway environment. Inconveniences caused by reduced performance during inclement weather, interrupted performance due to dropped tracks, and annoying nuisance alarms will not be tolerated by the consumer, and would likely result in the rejection of this technology in the marketplace. An all-weather automotive millimeter-wave (MMW) radar sensor is described that uses a frequency-modulation coplanar-wave (FMCW) radar design capable of acquiring and tracking all obstacles in its field of view. Design tradeoffs are discussed and radar-sensor test results are presented along with the applicability of the radar to collision-warning systems.

  3. Local intelligent electronic device (IED) rendering templates over limited bandwidth communication link to manage remote IED

    DOE Patents [OSTI]

    Bradetich, Ryan; Dearien, Jason A; Grussling, Barry Jakob; Remaley, Gavin

    2013-11-05

    The present disclosure provides systems and methods for remote device management. According to various embodiments, a local intelligent electronic device (IED) may be in communication with a remote IED via a limited bandwidth communication link, such as a serial link. The limited bandwidth communication link may not support traditional remote management interfaces. According to one embodiment, a local IED may present an operator with a management interface for a remote IED by rendering locally stored templates. The local IED may render the locally stored templates using sparse data obtained from the remote IED. According to various embodiments, the management interface may be a web client interface and/or an HTML interface. The bandwidth required to present a remote management interface may be significantly reduced by rendering locally stored templates rather than requesting an entire management interface from the remote IED. According to various embodiments, an IED may comprise an encryption transceiver.

  4. Intelligent Monitoring System with High Temperature Distributed Fiberoptic Sensor for Power Plant Combustion Processes

    SciTech Connect (OSTI)

    Kwang Y. Lee; Stuart S. Yin; Andre Boehman

    2006-09-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we have set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors have been completed. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we have investigated a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. Given a set of empirical data with no analytic expression, we first developed an analytic description and then extended that model along a single axis.

  5. Intelligent Monitoring System With High Temperature Distributed Fiberoptic Sensor For Power Plant Combustion Processes

    SciTech Connect (OSTI)

    Kwang Y. Lee; Stuart S. Yin; Andre Boheman

    2005-12-26

    The objective of the proposed work is to develop an intelligent distributed fiber optical sensor system for real-time monitoring of high temperature in a boiler furnace in power plants. Of particular interest is the estimation of spatial and temporal distributions of high temperatures within a boiler furnace, which will be essential in assessing and controlling the mechanisms that form and remove pollutants at the source, such as NOx. The basic approach in developing the proposed sensor system is three fold: (1) development of high temperature distributed fiber optical sensor capable of measuring temperatures greater than 2000 C degree with spatial resolution of less than 1 cm; (2) development of distributed parameter system (DPS) models to map the three-dimensional (3D) temperature distribution for the furnace; and (3) development of an intelligent monitoring system for real-time monitoring of the 3D boiler temperature distribution. Under Task 1, we set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic expression, we first develop an analytic description and then extend that model along a single axis. Extrapolation

  6. Robustness of fractional quantum Hall states with dipolar atoms in artificial gauge fields

    SciTech Connect (OSTI)

    Grass, T.; Baranov, M. A.; Lewenstein, M.

    2011-10-15

    The robustness of fractional quantum Hall states is measured as the energy gap separating the Laughlin ground state from excitations. Using thermodynamic approximations for the correlation functions of the Laughlin state and the quasihole state, we evaluate the gap in a two-dimensional system of dipolar atoms exposed to an artificial gauge field. For Abelian fields, our results agree well with the results of exact diagonalization for small systems but indicate that the large value of the gap predicted [Phys. Rev. Lett. 94, 070404 (2005)] was overestimated. However, we are able to show that the small gap found in the Abelian scenario dramatically increases if we turn to non-Abelian fields squeezing the Landau levels.

  7. Realization of ground-state artificial skyrmion lattices at room temperature

    SciTech Connect (OSTI)

    Gilbert, Dustin A.; Maranville, Brian B.; Balk, Andrew L.; Kirby, Brian J.; Fischer, Peter; Pierce, Daniel T.; Unguris, John; Borchers, Julie A.; Liu, Kai

    2015-10-08

    We report that the topological nature of magnetic skyrmions leads to extraordinary properties that provide new insights into fundamental problems of magnetism and exciting potentials for novel magnetic technologies. Prerequisite are systems exhibiting skyrmion lattices at ambient conditions, which have been elusive so far. We demonstrate the realization of artificial Bloch skyrmion lattices over extended areas in their ground state at room temperature by patterning asymmetric magnetic nanodots with controlled circularity on an underlayer with perpendicular magnetic anisotropy (PMA). Polarity is controlled by a tailored magnetic field sequence and demonstrated in magnetometry measurements. The vortex structure is imprinted from the dots into the interfacial region of the underlayer via suppression of the PMA by a critical ion-irradiation step. In conclusion, the imprinted skyrmion lattices are identified directly with polarized neutron reflectometry and confirmed by magnetoresistance measurements. Our results demonstrate an exciting platform to explore room-temperature ground-state skyrmion lattices.

  8. Realization of ground-state artificial skyrmion lattices at room temperature

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Gilbert, Dustin A.; Maranville, Brian B.; Balk, Andrew L.; Kirby, Brian J.; Fischer, Peter; Pierce, Daniel T.; Unguris, John; Borchers, Julie A.; Liu, Kai

    2015-10-08

    We report that the topological nature of magnetic skyrmions leads to extraordinary properties that provide new insights into fundamental problems of magnetism and exciting potentials for novel magnetic technologies. Prerequisite are systems exhibiting skyrmion lattices at ambient conditions, which have been elusive so far. We demonstrate the realization of artificial Bloch skyrmion lattices over extended areas in their ground state at room temperature by patterning asymmetric magnetic nanodots with controlled circularity on an underlayer with perpendicular magnetic anisotropy (PMA). Polarity is controlled by a tailored magnetic field sequence and demonstrated in magnetometry measurements. The vortex structure is imprinted from themore » dots into the interfacial region of the underlayer via suppression of the PMA by a critical ion-irradiation step. In conclusion, the imprinted skyrmion lattices are identified directly with polarized neutron reflectometry and confirmed by magnetoresistance measurements. Our results demonstrate an exciting platform to explore room-temperature ground-state skyrmion lattices.« less

  9. New vector for transfer of yeast artificial chromosomes to mammalian cells

    SciTech Connect (OSTI)

    Markie, D.; Ragoussis, J.; Senger, G.; Rowan, A.; Trowsdale, J.; Sheer, D.; Bodmer, W.F. ); Sansom, D. )

    1993-03-01

    A modification vector has been constructed to facilitate the transfer of yeast artificial chromosomes (YACs) to mammalian cells in culture by targeting a dominant selectable marker (G418 resistance) to the right arm of pYAC4 clones. The ADE2 gene is used for yeast selection with consequent disruption of the URA3 gene, allowing direct modification of YACs within the common host strain AB1380, and providing a simple test for correct targeting. This vector has been tested by modification of a 550-kb YAC containing part of the human MHC class II region and transfer to CHO cells by protoplast fusion. Analysis of 15 independent G418-resistant CHO lines obtained following fusion suggests the majority contain a complete YAC with moderate amplification in some lines. 24 refs., 4 figs.

  10. Prediction of Weld Penetration in FCAW of HSLA steel using Artificial Neural Networks

    SciTech Connect (OSTI)

    Asl, Y. Dadgar; Mostafa, N. B.; Panahizadeh, V. R. [Department of Mechanical Engineering, Shahid Rajaee Teacher Training University, Tehran (Iran, Islamic Republic of); Seyedkashi, S. M. H. [Department of Mechanical Engineering, Tarbiat Modares University, Tehran (Iran, Islamic Republic of)

    2011-01-17

    Flux-cored arc welding (FCAW) is a semiautomatic or automatic arc welding process that requires a continuously-fed consumable tubular electrode containing a flux. The main FCAW process parameters affecting the depth of penetration are welding current, arc voltage, nozzle-to-work distance, torch angle and welding speed. Shallow depth of penetration may contribute to failure of a welded structure since penetration determines the stress-carrying capacity of a welded joint. To avoid such occurrences; the welding process parameters influencing the weld penetration must be properly selected to obtain an acceptable weld penetration and hence a high quality joint. Artificial neural networks (ANN), also called neural networks (NN), are computational models used to express complex non-linear relationships between input and output data. In this paper, artificial neural network (ANN) method is used to predict the effects of welding current, arc voltage, nozzle-to-work distance, torch angle and welding speed on weld penetration depth in gas shielded FCAW of a grade of high strength low alloy steel. 32 experimental runs were carried out using the bead-on-plate welding technique. Weld penetrations were measured and on the basis of these 32 sets of experimental data, a feed-forward back-propagation neural network was created. 28 sets of the experiments were used as the training data and the remaining 4 sets were used for the testing phase of the network. The ANN has one hidden layer with eight neurons and is trained after 840 iterations. The comparison between the experimental results and ANN results showed that the trained network could predict the effects of the FCAW process parameters on weld penetration adequately.

  11. DEVELOPMENT OF A VIRTUAL INTELLIGENCE TECHNIQUE FOR THE UPSTREAM OIL INDUSTRY

    SciTech Connect (OSTI)

    Iraj A. Salehi; Shahab D. Mohaghegh; Samuel Ameri

    2004-09-01

    The objective of the research and development work reported in this document was to develop a Virtual Intelligence Technique for optimization of the Preferred Upstream Management Practices (PUMP) for the upstream oil industry. The work included the development of a software tool for identification and optimization of the most influential parameters in upstream common practices as well as geological, geophysical and reservoir engineering studies. The work was performed in cooperation with three independent producing companies--Newfield Exploration, Chesapeake Energy, and Triad Energy--operating in the Golden Trend, Oklahoma. In order to protect data confidentiality, these companies are referred to as Company One, Two, Three in a randomly selected order. These producing companies provided geological, completion, and production data on 320 wells and participated in frequent technical discussions throughout the project. Research and development work was performed by Gas Technology Institute (GTI), West Virginia University (WVU), and Intelligent Solutions Inc. (ISI). Oklahoma Independent Petroleum Association (OIPA) participated in technology transfer and data acquisition efforts. Deliverables from the project are the present final report and a user-friendly software package (Appendix D) with two distinct functions: a characterization tool that identifies the most influential parameters in the upstream operations, and an optimization tool that seeks optimization by varying a number of influential parameters and investigating the coupled effects of these variations. The electronic version of this report is also included in Appendix D. The Golden Trend data were used for the first cut optimization of completion procedures. In the subsequent step, results from soft computing runs were used as the guide for detailed geophysical and reservoir engineering studies that characterize the cause-and-effect relationships between various parameters. The general workflow and the main

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  2. Extending cost–benefit analysis for the sustainability impact of inter-urban Intelligent Transport Systems

    SciTech Connect (OSTI)

    Kolosz, Ben Grant-Muller, Susan

    2015-01-15

    The paper reports research involving three cost–benefit analyses performed on different ITS schemes (Active Traffic Management, Intelligent Speed Adaptation and the Automated Highway System) on one of the UK's busiest highways — the M42. The environmental scope of the assets involved is widened to take into account the possibility of new technology linked by ICT and located within multiple spatial regions. The areas focused on in the study were data centre energy emissions, the embedded emissions of the road-side infrastructure, vehicle tailpipe emissions, additional hardware required by the vehicles (if applicable) and safety, and all aspects of sustainability. Dual discounting is applied which aims to provide a separate discount rate for environmental elements. For ATM, despite the energy costs of the data centre, the initial implementation costs and mitigation costs of its embedded emissions, a high cost–benefit ratio of 5.89 is achieved, although the scheme becomes less effective later on its lifecycle due to rising costs of energy. ISA and AHS generate a negative result, mainly due to the cost of getting the vehicle on the road. In order to negate these costs, the pricing of the vehicle should be scaled depending upon the technology that is outfitted. Retrofitting on vehicles without the technology should be paid for by the driver. ATM will offset greenhouse gas emissions by 99 kt of CO{sub 2} equivalency over a 25 year lifespan. This reduction has taken into account the expected improvement in vehicle technology. AHS is anticipated to save 280 kt of CO{sub 2} equivalency over 15 years of operational usage. However, this offset is largely dependent on assumptions such as the level of market penetration. - Highlights: • Three cost–benefit analyses are applied to inter-urban intelligent transport. • For ATM, a high cost–benefit ratio of 5.89 is achieved. • ATM offsets greenhouse gas emissions by 99 kt of CO{sub 2} equivalency over 25 years.

  3. Intelligent Object-Oriented GIS Engine W/dynamic Coupling to Modeled Objects

    Energy Science and Technology Software Center (OSTI)

    1997-02-12

    The GEOVIEWER is an intelligent object-oriented Geographic Information System (GIS) engine that provides not only a spatially-optimized object representation, but also direct linkage to the underlying object, its data and behaviors. Tools are incorporated to perform tasks involving typical GIS functionality, data ingestion, linkage to external models, and integration with other application frameworks. The GOEVIEWER module was designed to provide GIS functionality to create, query, view, and manipulate software objects within a selected area undermore » investigation in a simulation system. Many of these objects are not stored in a format conductive to efficient GIS usage. Their dynamic nature, complexity, and the sheer number of possible entity classes preclude effective integration with traditional GIS technologies due to the loosely coupled nature of their data representations. The primary difference between GEOVIEWER and standard GIS packages is that standard GIS packages offer static views of geospatial data while GEOVIEWER can be dynamically coupled to models and/or applications producing data and, therefore, display changes in geometry, attributes or behavior as they occur in the simulation.« less

  4. Intelligent Bioreactor Management Information System (IBM-IS) for Mitigation of Greenhouse Gas Emissions

    SciTech Connect (OSTI)

    Paul Imhoff; Ramin Yazdani; Don Augenstein; Harold Bentley; Pei Chiu

    2010-04-30

    Methane is an important contributor to global warming with a total climate forcing estimated to be close to 20% that of carbon dioxide (CO2) over the past two decades. The largest anthropogenic source of methane in the US is 'conventional' landfills, which account for over 30% of anthropogenic emissions. While controlling greenhouse gas emissions must necessarily focus on large CO2 sources, attention to reducing CH4 emissions from landfills can result in significant reductions in greenhouse gas emissions at low cost. For example, the use of 'controlled' or bioreactor landfilling has been estimated to reduce annual US greenhouse emissions by about 15-30 million tons of CO2 carbon (equivalent) at costs between $3-13/ton carbon. In this project we developed or advanced new management approaches, landfill designs, and landfill operating procedures for bioreactor landfills. These advances are needed to address lingering concerns about bioreactor landfills (e.g., efficient collection of increased CH4 generation) in the waste management industry, concerns that hamper bioreactor implementation and the consequent reductions in CH4 emissions. Collectively, the advances described in this report should result in better control of bioreactor landfills and reductions in CH4 emissions. Several advances are important components of an Intelligent Bioreactor Management Information System (IBM-IS).

  5. Intelligent Data Management (IDM) for a Content-Based Image Retrieval System

    Energy Science and Technology Software Center (OSTI)

    2002-10-08

    With the availability of low-cost, high-performance computers, memory, and disk storage media, image libraries and content-based image retrieval (CBIR) technologies are becoming more prevalent. CBIR refers to technologies and systems that index large digital image libraries using image content derived from visual characteristics of the image such as color, texture and structure. Although large repositories can be readily assembled, the efficiency of these systems to retrieve the most relevant imagery is still a function ofmore » capacity and long-term storage. Due to the rapid growth in the size of image libraries and the high potential for data redundancy, the Intelligent Data Management (IDM) method has been developed to achieve a reduction in redundancy (IDM) method has been developed to achieve a reduction in redundancy that facilities either: (1) the long-term storage of the most information-rich image content (i.e., maintaining the same DB capacity but keeping data for a longer period of time), or (2) a reduction in the size of the repository capacity which results in improved performance (i.e., storage and retrieval efficiency) and reduced time for indexing.« less

  6. INTELLIGENT COMPUTING SYSTEM FOR RESERVOIR ANALYSIS AND RISK ASSESSMENT OF THE RED RIVER FORMATION

    SciTech Connect (OSTI)

    Kenneth D. Luff

    2002-09-30

    Integrated software has been written that comprises the tool kit for the Intelligent Computing System (ICS). Luff Exploration Company is applying these tools for analysis of carbonate reservoirs in the southern Williston Basin. The integrated software programs are designed to be used by small team consisting of an engineer, geologist and geophysicist. The software tools are flexible and robust, allowing application in many environments for hydrocarbon reservoirs. Keystone elements of the software tools include clustering and neural-network techniques. The tools are used to transform seismic attribute data to reservoir characteristics such as storage (phi-h), probable oil-water contacts, structural depths and structural growth history. When these reservoir characteristics are combined with neural network or fuzzy logic solvers, they can provide a more complete description of the reservoir. This leads to better estimates of hydrocarbons in place, areal limits and potential for infill or step-out drilling. These tools were developed and tested using seismic, geologic and well data from the Red River Play in Bowman County, North Dakota and Harding County, South Dakota. The geologic setting for the Red River Formation is shallow-shelf carbonate at a depth from 8000 to 10,000 ft.

  7. A Workflow-based Intelligent Network Data Movement Advisor with End-to-end Performance Optimization

    SciTech Connect (OSTI)

    Zhu, Michelle M.; Wu, Chase Q.

    2013-11-07

    Next-generation eScience applications often generate large amounts of simulation, experimental, or observational data that must be shared and managed by collaborative organizations. Advanced networking technologies and services have been rapidly developed and deployed to facilitate such massive data transfer. However, these technologies and services have not been fully utilized mainly because their use typically requires significant domain knowledge and in many cases application users are even not aware of their existence. By leveraging the functionalities of an existing Network-Aware Data Movement Advisor (NADMA) utility, we propose a new Workflow-based Intelligent Network Data Movement Advisor (WINDMA) with end-to-end performance optimization for this DOE funded project. This WINDMA system integrates three major components: resource discovery, data movement, and status monitoring, and supports the sharing of common data movement workflows through account and database management. This system provides a web interface and interacts with existing data/space management and discovery services such as Storage Resource Management, transport methods such as GridFTP and GlobusOnline, and network resource provisioning brokers such as ION and OSCARS. We demonstrate the efficacy of the proposed transport-support workflow system in several use cases based on its implementation and deployment in DOE wide-area networks.

  8. Advanced Building Efficiency Testbed Initiative/Intelligent Workplace Energy Supply System; ABETI/IWESS

    SciTech Connect (OSTI)

    David Archer; Frederik Betz; Yun Gu; Rong Li; Flore Marion; Sophie Masson; Ming Qu; Viraj Srivastava; Hongxi Yin; Chaoqin Zhai; Rui Zhang; Elisabeth Aslanian; Berangere Lartigue

    2008-05-31

    ABETI/IWESS is a project carried out by Carnegie Mellon's Center for Building Performance and Diagnostics, the CBPD, supported by the U.S. Department of Energy/EERE, to design, procure, install, operate, and evaluate an energy supply system, an ESS, that will provide power, cooling, heating and ventilation for CBPD's Intelligent Workplace, the IW. The energy sources for this system, the IWESS, are solar radiation and bioDiesel fuel. The components of this overall system are: (1) a solar driven cooling and heating system for the IW comprising solar receivers, an absorption chiller, heat recovery exchanger, and circulation pump; (2) a bioDiesel fueled engine generator with heat recovery exchangers, one on the exhaust to provide steam and the other on the engine coolant to provide heated water; (3) a ventilation system including an enthalpy recovery wheel, an air based heat pump, an active desiccant wheel, and an air circulation fan; and (4) various convective and radiant cooling/heating units and ventilation air diffusers distributed throughout the IW. The goal of the ABETI/IWESS project is to demonstrate an energy supply system for a building space that will provide a healthy, comfortable environment for the occupants and that will reduce the quantity of energy consumed in the operation of a building space by a factor of 2 less than that of a conventional energy supply for power, cooling, heating, and ventilation based on utility power and natural gas fuel for heating.

  9. Using Artificial Neural Networks to Forecast Trichloroethylene Concentrations at the Paducah Gaseous Diffusion Plant

    SciTech Connect (OSTI)

    Kopp, Joshua D

    2007-05-01

    To determine the future extent of the TCE contamination plume at PGDP, a groundwater and solute transport model has been developed by the Department of Energy (DOE). The model used to perform these calculations is MODFLOWT which is an enhanced groundwater transport model developed by the United States Geological Survey (USGS). MODFLOWT models groundwater movement as well as the transport of species that are subject to adsorption and decay by using a finite difference method (Duffield et al 2001). A significant limitation of MODFLOWT is that it requires large amounts of data. This data can be difficult and expensive to obtain. MODFLOWT also requires excessive computational time to perform one simulation. It is desirable to have a model that can predict the spatial extent of the contaminant plume without as much required data and that does not require excessive computational times. The purpose of this study is to develop and alternative model to MODFLOWT that can produce similar results for possible use in a companion management model. The alternative model used in this study is an artificial neural network (ANN).

  10. Niobium-titanium superconductors produced by powder metallurgy having artificial flux pinning centers

    DOE Patents [OSTI]

    Jablonski, Paul D.; Larbalestier, David C.

    1993-01-01

    Superconductors formed by powder metallurgy have a matrix of niobium-titanium alloy with discrete pinning centers distributed therein which are formed of a compatible metal. The artificial pinning centers in the Nb-Ti matrix are reduced in size by processing steps to sizes on the order of the coherence length, typically in the range of 1 to 10 nm. To produce the superconductor, powders of body centered cubic Nb-Ti alloy and the second phase flux pinning material, such as Nb, are mixed in the desired percentages. The mixture is then isostatically pressed, sintered at a selected temperature and selected time to produce a cohesive structure having desired characteristics without undue chemical reaction, the sintered billet is reduced in size by deformation, such as by swaging, the swaged sample receives heat treatment and recrystallization and additional swaging, if necessary, and is then sheathed in a normal conducting sheath, and the sheathed material is drawn into a wire. The resulting superconducting wire has second phase flux pinning centers distributed therein which provide enhanced J.sub.ct due to the flux pinning effects.

  11. Joint Center for Artificial Photosynthesis (JCAP): DOE's Solar Fuels Energy Innovation Hub (2011 EFRC Summit)

    ScienceCinema (OSTI)

    Lewis, Nate (Director, Joint Center for Artificial Photosynthesis and Professor at Caltech)

    2012-03-14

    The Joint Center for Artificial Photosynthesis (JCAP) is a DOE Energy Innovation Hub focused on fuels from sunlight. JCAP's Director, Nate Lewis, spoke at the 2011 EFRC Summit about what JCAP is and how it is partnering with the EFRC community to accelerate the progress towards new solar fuels. The 2011 EFRC Summit and Forum brought together the EFRC community and science and policy leaders from universities, national laboratories, industry and government to discuss "Science for our Nation's Energy Future." In August 2009, the Office of Science established 46 Energy Frontier Research Centers. The EFRCs are collaborative research efforts intended to accelerate high-risk, high-reward fundamental research, the scientific basis for transformative energy technologies of the future. These Centers involve universities, national laboratories, nonprofit organizations, and for-profit firms, singly or in partnerships, selected by scientific peer review. They are funded at $2 to $5 million per year for a total planned DOE commitment of $777 million over the initial five-year award period, pending Congressional appropriations. These integrated, multi-investigator Centers are conducting fundamental research focusing on one or more of several ?grand challenges? and use-inspired ?basic research needs? recently identified in major strategic planning efforts by the scientific community. The purpose of the EFRCs is to integrate the talents and expertise of leading scientists in a setting designed to accelerate research that transforms the future of energy and the environment.

  12. Delineating Rearrangements in Single Yeast Artificial Chromosomes by Quantitative DNA Fiber Mapping

    SciTech Connect (OSTI)

    Weier, Heinz-Ulrich G.; Greulich-Bode, Karin M.; Wu, Jenny; Duell, Thomas

    2009-09-18

    Cloning of large chunks of human genomic DNA in recombinant systems such as yeast or bacterial artificial chromosomes has greatly facilitated the construction of physical maps, the positional cloning of disease genes or the preparation of patient-specific DNA probes for diagnostic purposes. For this process to work efficiently, the DNA cloning process and subsequent clone propagation need to maintain stable inserts that are neither deleted nor otherwise rearranged. Some regions of the human genome; however, appear to have a higher propensity than others to rearrange in any host system. Thus, techniques to detect and accurately characterize such rearrangements need to be developed. We developed a technique termed 'Quantitative DNA Fiber Mapping (QDFM)' that allows accurate tagging of sequence elements of interest with near kilobase accuracy and optimized it for delineation of rearrangements in recombinant DNA clones. This paper demonstrates the power of this microscopic approach by investigating YAC rearrangements. In our examples, high-resolution physical maps for regions within the immunoglobulin lambda variant gene cluster were constructed for three different YAC clones carrying deletions of 95 kb and more. Rearrangements within YACs could be demonstrated unambiguously by pairwise mapping of cosmids along YAC DNA molecules. When coverage by YAC clones was not available, distances between cosmid clones were estimated by hybridization of cosmids onto DNA fibers prepared from human genomic DNA. In addition, the QDFM technology provides essential information about clone stability facilitating closure of the maps of the human genome as well as those of model organisms.

  13. Giant Controllable Magnetization Changes Induced by Structural Phase Transitions in a Metamagnetic Artificial Multiferroic

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bennett, S. P.; Wong, A. T.; Glavic, A.; Herklotz, A.; Urban, C.; Valmianski, I.; Biegalski, M. D.; Christen, H. M.; Ward, T. Z.; Lauter, V.

    2016-03-04

    We realize that a controllable metamagnetic transition from AFM to FM ordering would open the door to a plethora of new spintronics based devices that, rather than reorienting spins in a ferromagnet, harness direct control of a materials intrinsic magnetic ordering. In this study FeRh films with drastically reduced transition temperatures and a large magneto-thermal hysteresis were produced for magnetocaloric and spintronics applications. Remarkably, giant controllable magnetization changes (measured to be as high has ~25%) are realized and by manipulating the strain transfer from the external lattice when subjected to two structural phase transitions of BaTiO3 (001) single crystal substrate.more » These magnetization changes are the largest seen to date to be controllably induced in the FeRh system. Using polarized neutron reflectometry we reveal how just a slight in plane surface strain change at ~290C results in a massive magnetic transformation in the bottom half of the film clearly demonstrating a strong lattice-spin coupling in FeRh. By means of these substrate induced strain changes we show a way to reproducibly explore the effects of temperature and strain on the relative stabilities of the FM and AFM phases in multi-domain metamagnetic systems. In our study also demonstrates for the first time the depth dependent nature of a controllable magnetic order using strain in an artificial multiferroic heterostructure.« less

  14. Nanocluster building blocks of artificial square spin ice: Stray-field studies of thermal dynamics

    SciTech Connect (OSTI)

    Pohlit, Merlin Porrati, Fabrizio; Huth, Michael; Müller, Jens

    2015-05-07

    We present measurements of the thermal dynamics of a Co-based single building block of an artificial square spin ice fabricated by focused electron-beam-induced deposition. We employ micro-Hall magnetometry, an ultra-sensitive tool to study the stray field emanating from magnetic nanostructures, as a new technique to access the dynamical properties during the magnetization reversal of the spin-ice nanocluster. The obtained hysteresis loop exhibits distinct steps, displaying a reduction of their “coercive field” with increasing temperature. Therefore, thermally unstable states could be repetitively prepared by relatively simple temperature and field protocols allowing one to investigate the statistics of their switching behavior within experimentally accessible timescales. For a selected switching event, we find a strong reduction of the so-prepared states' “survival time” with increasing temperature and magnetic field. Besides the possibility to control the lifetime of selected switching events at will, we find evidence for a more complex behavior caused by the special spin ice arrangement of the macrospins, i.e., that the magnetic reversal statistically follows distinct “paths” most likely driven by thermal perturbation.

  15. Optimizing artificial lift operations through the use of wireless conveyed real time bottom hole data

    SciTech Connect (OSTI)

    Campbell, B.; MacKinnon, J.; Bandy, T.R.; Hampton, T.

    1996-12-31

    The use of an innovative wireless bottom hole pressure/temperature telemetry acquisition system in artificial lift operations can dramatically improve efficiency and optimize fluid producing rates in those wells. The tool is installed into the producing well in the vicinity of the perforations, measuring and transmitting the producing bottom hole pressures and temperatures to the surface for instantaneous control of the surface pumping motor speed. This insures the lowest possible fluid level back pressures, thus allowing for the highest possible fluid entry into the wellbore from that reservoir`s capacity. Operating costs per barrel are lowered since the maximum oil production can now be realized from existing wells. The telemetry tool is deployed with standard slickline equipment and is installed inside a well in a manner similar to ordinary pressure recorder tools. Several unique advantages of the tool are: (1) no moving parts; (2) no wireline to the surface; (3) real time measurement of bottom hole data; and (4) slickline retrievable. Future versions of the acquisition system tool will improve operating efficiency in the following ways: (1) Temperature monitoring and control of perforation scaling, tubular waxing, and tubular hydrating plugs. (2) Provide data necessary to create diagnostically predictive IPR curves through monitoring of reservoir in-flow rates. (3) Enabling early warning of water encroachment or lensing through fluid resistivity monitoring.

  16. Application of artificial neural networks in power system security and vulnerability assessment

    SciTech Connect (OSTI)

    Qin Zhou; Davidson, J.; Fouad, A.A.

    1994-02-01

    In a companion paper the concept of system vulnerability is introduced as a new framework for power system dynamic security assessment. Using the TEF method of transient stability analysis, the energy margin [Delta]V is used as an indicator of the level of security, and its sensitivity to a changing system parameter p ([partial derivative][Delta]V/[partial derivative]p) as indicator of its trend with changing system conditions. These two indicators are combined to determine the degree of system vulnerability to contingent disturbances in a stability-limited power system. Thresholds for acceptable levels of the security indicator and its trend are related to the stability limits of a critical system parameter (plant generation limits). Operating practices and policies are used to determine these thresholds. In this paper the artificial neural networks (ANNs) technique is applied to the concept of system vulnerability within the recently developed framework, for fast pattern recognition and classification of system dynamic security status. A suitable topology for the neural network is developed, and the appropriate training method and input and output signals are selected. The procedure developed is successfully applied to the IEEE 50-generator test system. Data previously obtained by heuristic techniques are used for training the ANN.

  17. Improved Pharmacological and Structural Properties of HIV Fusion Inhibitor AP3 over Enfuvirtide: Highlighting Advantages of Artificial Peptide Strategy

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhu, Xiaojie; Zhu, Yun; Ye, Sheng; Wang, Qian; Xu, Wei; Su, Shan; Sun, Zhiwu; Yu, Fei; Liu, Qi; Wang, Chao; et al

    2015-08-19

    Enfuvirtide (T20), is the first HIV fusion inhibitor approved for treatment of HIV/AIDS patients who fail to respond to the current antiretroviral drugs. However, its clinical application is limited because of short half-life, drug resistance and cross-reactivity with the preexisting antibodies in HIV-infected patients. Using an artificial peptide strategy, we designed a peptide with non-native protein sequence, AP3, which exhibited potent antiviral activity against a broad spectrum of HIV-1 strains, including those resistant to T20, and had remarkably longer in vivo half-life than T20. While the preexisting antibodies in HIV-infected patients significantly suppressed T20’s antiviral activity, these antibodies neither recognizedmore » AP3, nor attenuated its anti-HIV-1 activity. Structurally different from T20, AP3 could fold into single-helix and interact with gp41 NHR. The two residues, Met and Thr, at the N-terminus of AP3 form a hook-like structure to stabilize interaction between AP3 and NHR helices. Therefore, AP3 has potential for further development as a new HIV fusion inhibitor with improved antiviral efficacy, resistance profile and pharmacological properties over enfuvirtide. Meanwhile, this study highlighted the advantages of artificially designed peptides, and confirmed that this strategy could be used in developing artificial peptide-based viral fusion inhibitors against HIV and other enveloped viruses.« less

  18. INTELLIGENT COMPUTING SYSTEM FOR RESERVOIR ANALYSIS AND RISK ASSESSMENT OF THE RED RIVER FORMATION

    SciTech Connect (OSTI)

    Mark A. Sippel; William C. Carrigan; Kenneth D. Luff; Lyn Canter

    2003-11-12

    Integrated software has been written that comprises the tool kit for the Intelligent Computing System (ICS). The software tools in ICS have been developed for characterization of reservoir properties and evaluation of hydrocarbon potential using a combination of inter-disciplinary data sources such as geophysical, geologic and engineering variables. The ICS tools provide a means for logical and consistent reservoir characterization and oil reserve estimates. The tools can be broadly characterized as (1) clustering tools, (2) neural solvers, (3) multiple-linear regression, (4) entrapment-potential calculator and (5) file utility tools. ICS tools are extremely flexible in their approach and use, and applicable to most geologic settings. The tools are primarily designed to correlate relationships between seismic information and engineering and geologic data obtained from wells, and to convert or translate seismic information into engineering and geologic terms or units. It is also possible to apply ICS in a simple framework that may include reservoir characterization using only engineering, seismic, or geologic data in the analysis. ICS tools were developed and tested using geophysical, geologic and engineering data obtained from an exploitation and development project involving the Red River Formation in Bowman County, North Dakota and Harding County, South Dakota. Data obtained from 3D seismic surveys, and 2D seismic lines encompassing nine prospective field areas were used in the analysis. The geologic setting of the Red River Formation in Bowman and Harding counties is that of a shallow-shelf, carbonate system. Present-day depth of the Red River formation is approximately 8000 to 10,000 ft below ground surface. This report summarizes production results from well demonstration activity, results of reservoir characterization of the Red River Formation at demonstration sites, descriptions of ICS tools and strategies for their application.

  19. Real time intelligent process control system for thin film solar cell manufacturing

    SciTech Connect (OSTI)

    George Atanasoff

    2010-10-29

    significant equipment refurbishing needed for installation of multiple separate ellipsometric systems, and development of customized software to control all of them simultaneously. The proposed optical monitoring system comprises AccuStratas fiber optics sensors installed inside the thin film deposition equipment, a hardware module of different components (beyond the scope of this project) and our software program with iterative predicting capability able to control material bandgap and surface roughness as films are deposited. Our miniature fiber optics monitoring sensors are installed inside the vacuum chamber compartments in very close proximity where the independent layers are deposited (an option patented by us in 2003). The optical monitoring system measures two of the most important parameters of the photovoltaic thin films during deposition on a moving solar panel - material bandgap and surface roughness. In this program each sensor array consists of two fiber optics sensors monitoring two independent areas of the panel under deposition. Based on the monitored parameters and their change in time and from position to position on the panel, the system is able to provide to the equipment operator immediate information about the thin films as they are deposited. This DoE Supply Chain program is considered the first step towards the development of intelligent optical control system capable of dynamically adjusting the manufacturing process on-the-fly in order to achieve better performance. The proposed system will improve the thin film solar cell manufacturing by improving the quality of the individual solar cells and will allow for the manufacturing of more consistent and uniform products resulting in higher solar conversion efficiency and manufacturing yield. It will have a significant impact on the multibillion-dollar thin film solar market. We estimate that the financial impact of these improvements if adopted by only 10% of the industry ($7.7 Billion) would result

  20. Intelligent mobile sensor system for drum inspection and monitoring: Topical report, October 1, 1993--April 22, 1995

    SciTech Connect (OSTI)

    1997-04-01

    The objective of the Intelligent Mobile Sensor System (IMSS) project is to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The system has an integrated sensor suite for problem-drum detection, and is linked to a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase two is now complete. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project. This report summarizes the design and evaluation of the new IMSS Phase 2 system and vehicle. Several parts of the IMSS Phase 1 Topical (Final) Report, which describes the requirements, design guidelines, and detailed design of the Phase 1 IMSS vehicle, are incorporated here, with modifications to reflect the changes in the design and the new elements added during the Phase 2 work.

  1. Intelligent Mobile Sensor System for drum inspection and monitoring -- Volume 1. Final report, October 1, 1993--April 22, 1995

    SciTech Connect (OSTI)

    1995-12-31

    The objective of the Intelligent Mobile Sensor System (IMSS) project is to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The device is capable of operating in the narrow free aisle space between rows of stacked drums. The system has an integrated sensor suite for problem-drum detection, and is linked to a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase two is now complete. The first phase demonstrated an integrated system (maturity level IVa) for monitoring and inspection activities for waste storage facility operations. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project. This report summarizes the design and evaluation of the new IMSS Phase 2 system and vehicle.

  2. Real Time Selective Harmonic Minimization for Multilevel Inverters Connected to Solar Panels Using Artificial Neural Network Angle Generation

    SciTech Connect (OSTI)

    Tolbert, Leon M; Ozpineci, Burak; Filho, Faete; Cao, Yue

    2011-01-01

    This work approximates the selective harmonic elimination problem using artificial neural networks (ANNs) to generate the switching angles in an 11-level full-bridge cascade inverter powered by five varying dc input sources. Each of the five full bridges of the cascade inverter was connected to a separate 195-W solar panel. The angles were chosen such that the fundamental was kept constant and the low-order harmonics were minimized or eliminated. A nondeterministic method is used to solve the system for the angles and to obtain the data set for the ANN training. The method also provides a set of acceptable solutions in the space where solutions do not exist by analytical methods. The trained ANN is a suitable tool that brings a small generalization effect on the angles' precision and is able to perform in real time (50-/60-Hz time window).

  3. Framework for a physical map of the human 22q13 region using bacterial artificial chromosomes (BACs)

    SciTech Connect (OSTI)

    Schmitt, H.; Kim, Ung-Jin; Slepak, T.

    1996-04-01

    Detailed physical maps of entire chromosomes based on combined genetic, cytogenetic, and structural information are essential components for positional cloning and genomic sequencing. Despite the wealth of genetic information of the known diseases in the chromosome 22q13 region, the construction of a detailed physical map of the terminal region is difficult due to the sparsity of the genetic markers. We present here a map of bacterial artificial chromosome (BAC) contigs that cover a number of genetic loci in the 22q13 region. One hundred thirty-six BACs with an average insert size of 140 kb are assembled into 35 contigs defined by 64 markers in 22q13-qter. Twenty-three anonymous markers are now linked to the previously mapped genetic anchor points. 55 refs., 4 figs., 3 tabs.

  4. PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data

    SciTech Connect (OSTI)

    Thakur, Gautam S; Bhaduri, Budhendra L; Piburn, Jesse O; Sims, Kelly M; Stewart, Robert N; Urban, Marie L

    2015-01-01

    Geospatial intelligence has traditionally relied on the use of archived and unvarying data for planning and exploration purposes. In consequence, the tools and methods that are architected to provide insight and generate projections only rely on such datasets. Albeit, if this approach has proven effective in several cases, such as land use identification and route mapping, it has severely restricted the ability of researchers to inculcate current information in their work. This approach is inadequate in scenarios requiring real-time information to act and to adjust in ever changing dynamic environments, such as evacuation and rescue missions. In this work, we propose PlanetSense, a platform for geospatial intelligence that is built to harness the existing power of archived data and add to that, the dynamics of real-time streams, seamlessly integrated with sophisticated data mining algorithms and analytics tools for generating operational intelligence on the fly. The platform has four main components i) GeoData Cloud a data architecture for storing and managing disparate datasets; ii) Mechanism to harvest real-time streaming data; iii) Data analytics framework; iv) Presentation and visualization through web interface and RESTful services. Using two case studies, we underpin the necessity of our platform in modeling ambient population and building occupancy at scale.

  5. Intelligent Production Monitoring and Control based on Three Main Modules for Automated Manufacturing Cells in the Automotive Industry

    SciTech Connect (OSTI)

    Berger, Ulrich; Kretzschmann, Ralf; Algebra, A. Vargas Veronica

    2008-06-12

    The automotive industry is distinguished by regionalization and customization of products. As consequence, the diversity of products will increase while the lot sizes will decrease. Thus, more product types will be handled along the process chain and common production paradigms will fail. Although Rapid Manufacturing (RM) methodology will be used for producing small individual lot sizes, new solution for joining and assembling these components are needed. On the other hand, the non-availability of existing operational knowledge and the absence of dynamic and explicit knowledge retrieval minimize the achievement of on-demand capabilities. Thus, in this paper, an approach for an Intelligent Production System will be introduced. The concept is based on three interlinked main modules: a Technology Data Catalogue (TDC) based on an ontology system, an Automated Scheduling Processor (ASP) based on graph theory and a central Programmable Automation Controller (PAC) for real-time sensor/actor communication. The concept is being implemented in a laboratory set-up with several assembly and joining processes and will be experimentally validated in some research and development projects.

  6. Strategic Plan for Coordinating Rural Intelligent Transportation System (ITS) Transit Development in the Great Smoky Mountains National Park

    SciTech Connect (OSTI)

    Truett, L.F.

    2002-12-19

    The Great Smoky Mountains National Park, located along the border between North Carolina and Tennessee, is the most visited national park in the United States. This rugged, mountainous area presents many transportation challenges. The immense popularity of the Smokies and the fact that the primary mode of transportation within the park is the personal vehicle have resulted in congestion, damage to the environment, impacts on safety, and a degraded visitor experience. Access to some of the Smokies historical, cultural, and recreational attractions via a mass transit system could alleviate many of the transportation issues. Although quite a few organizations are proponents of a mass transit system for the Smokies, there is a lack of coordination among all parties. In addition, many local residents are not completely comfortable with the idea of transit in the Smokies. This document provides a brief overview of the current transportation needs and limitations in the Great Smoky Mountains National Park, identifies agencies and groups with particular interests in the Smokies, and offers insights into the benefits of using Intelligent Transportation Systems (ITS) technologies in the Smokies. Recommendations for the use of rural ITS transit to solve two major transportation issues are presented.

  7. Effect of artificial aging on the microstructure of weldment on API 5L X-52 steel pipe

    SciTech Connect (OSTI)

    Vargas-Arista, B. . E-mail: bvarista26@yahoo.com.mx; Hallen, J.M. . E-mail: j_hallen@yahoo.com; Albiter, A. . E-mail: aalbiter@imp.mx

    2007-08-15

    The effects of artificial aging on the microstructure in the weldment of an API 5L X-52 steel pipe were studied. Aging was performed at 250 deg. C over a period of 1000 h and values were recorded at every 100 h intervals. Transmission electron microscopy observations showed precipitation strengthening from nearly circular Nb-C containing nanoparticles for the base metal and heat affected zone, and cementite for the weld metal. The largest amount of precipitation in the weldment zone was obtained at 500 h, due to peak-aging, which showed the highest particle density. The weld metal was more susceptible to aging, exhibiting the highest increase in precipitation at 500 h, followed by the heat affected zone. After 500 h, the deterioration in the microstructure was caused by the coarsening of particles due to over-aging. The base metal showed the larger increment in particle size after 900 h of aging accompanied by a bigger decrease in fine particles than in the weld metal.

  8. Discrimination Analysis of Earthquakes and Man-Made Events Using ARMA Coefficients Determination by Artificial Neural Networks

    SciTech Connect (OSTI)

    AllamehZadeh, Mostafa

    2011-12-15

    A Quadratic Neural Networks (QNNs) model has been developed for identifying seismic source classification problem at regional distances using ARMA coefficients determination by Artificial Neural Networks (ANNs). We have devised a supervised neural system to discriminate between earthquakes and chemical explosions with filter coefficients obtained by windowed P-wave phase spectra (15 s). First, we preprocess the recording's signals to cancel out instrumental and attenuation site effects and obtain a compact representation of seismic records. Second, we use a QNNs system to obtain ARMA coefficients for feature extraction in the discrimination problem. The derived coefficients are then applied to the neural system to train and classification. In this study, we explore the possibility of using single station three-component (3C) covariance matrix traces from a priori-known explosion sites (learning) for automatically recognizing subsequent explosions from the same site. The results have shown that this feature extraction gives the best classifier for seismic signals and performs significantly better than other classification methods. The events have been tested, which include 36 chemical explosions at the Semipalatinsk test site in Kazakhstan and 61 earthquakes (mb = 5.0-6.5) recorded by the Iranian National Seismic Network (INSN). The 100% correct decisions were obtained between site explosions and some of non-site events. The above approach to event discrimination is very flexible as we can combine several 3C stations.

  9. A Preclinical Study of the Safety and Efficacy of Occlusin Trade-Mark-Sign 500 Artificial Embolization Device in Sheep

    SciTech Connect (OSTI)

    Owen, Richard J.; Nation, Patrick N.; Polakowski, Robert; Biliske, Jennifer A.; Tiege, Paul B.

    2012-06-15

    Introduction: This study evaluated the safety, effectiveness, and biodegradation of a new embolic agent, Occlusin Trade-Mark-Sign 503 Artificial Embolization Device (OCL 503). The agent consists of biodegradable poly-lactic-co-glycolic acid microspheres (150-212 {mu}m) coated with type I bovine collagen and was compared with Embosphere{sup Registered-Sign} Microspheres (300-500 {mu}m) in this controlled study of uterine artery embolization (UAE) in sheep. Methods: Unilateral UAE was performed in 32 adult ewes randomly assigned. Vessels were embolized to effective stasis. The cohort was divided into four groups, which were sacrificed at 1, 3, 6, and 12 months. Results: Both agents were 100% effective in achieving stasis. At 6 months, all OCL 503-treated arteries were occluded, the microspheres degraded with time, and at 12 months all four animals examined demonstrated recanalization. OCL 503 was found in the untreated uterine artery in one animal with no other evidence of non target embolization. In the Embosphere-treated group, all vessels remained occluded and microspheres were detected in the contralateral uterine artery in 6 of 15 examined vessels and in 10 vaginal, 2 ovarian, and 1 vesical artery. No procedural-related complications were seen in either group. Conclusions: OCL 503 is as effective an embolic agent as Embosphere{sup Registered-Sign} Microspheres when embolizing ovine uterine arteries and resorbs with time, allowing recanalization of the treated arteries. No device-related issues or adverse events were observed.

  10. Development of epitaxial AlxSc1-xN for artificially structured metal/semiconductor superlattice metamaterials

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Sands, Timothy D.; Stach, Eric A.; Saha, Bivas; Saber, Sammy; Naik, Gururaj V.; Boltasseva, Alexandra; Kvam, Eric P.

    2015-02-01

    Epitaxial nitride rocksalt metal/semiconductor superlattices are emerging as a novel class of artificially structured materials that have generated significant interest in recent years for their potential application in plasmonic and thermoelectric devices. Though most nitride metals are rocksalt, nitride semiconductors in general have hexagonal crystal structure. We report rocksalt aluminum scandium nitride (Al,Sc)N alloys as the semiconducting component in epitaxial rocksalt metal/semiconductor superlattices. The AlxSc1-xN alloys when deposited directly on MgO substrates are stabilized in a homogeneous rocksalt (single) phase when x < 0.51. Employing 20 nm TiN as a seed layer on MgO substrates, the homogeneity range for stabilizingmore » the rocksalt phase has been extended to x < 0.82 for a 120 nm film. The rocksalt AlxSc1-xN alloys show moderate direct bandgap bowing with a bowing parameter, B = 1.41 ± 0.19 eV. The direct bandgap of metastable rocksalt AlN is extrapolated to be 4.70 ± 0.20 eV. The tunable lattice parameter, bandgap, dielectric permittivity, and electronic properties of rocksalt AlxSc1-xN alloys enable high quality epitaxial rocksalt metal/AlxSc1-xN superlattices with a wide range of accessible metamaterials properties.« less

  11. The use of artificial neural networks and multiple linear regression to predict rate of medical waste generation

    SciTech Connect (OSTI)

    Jahandideh, Sepideh Jahandideh, Samad; Asadabadi, Ebrahim Barzegari; Askarian, Mehrdad; Movahedi, Mohammad Mehdi; Hosseini, Somayyeh; Jahandideh, Mina

    2009-11-15

    Prediction of the amount of hospital waste production will be helpful in the storage, transportation and disposal of hospital waste management. Based on this fact, two predictor models including artificial neural networks (ANNs) and multiple linear regression (MLR) were applied to predict the rate of medical waste generation totally and in different types of sharp, infectious and general. In this study, a 5-fold cross-validation procedure on a database containing total of 50 hospitals of Fars province (Iran) were used to verify the performance of the models. Three performance measures including MAR, RMSE and R{sup 2} were used to evaluate performance of models. The MLR as a conventional model obtained poor prediction performance measure values. However, MLR distinguished hospital capacity and bed occupancy as more significant parameters. On the other hand, ANNs as a more powerful model, which has not been introduced in predicting rate of medical waste generation, showed high performance measure values, especially 0.99 value of R{sup 2} confirming the good fit of the data. Such satisfactory results could be attributed to the non-linear nature of ANNs in problem solving which provides the opportunity for relating independent variables to dependent ones non-linearly. In conclusion, the obtained results showed that our ANN-based model approach is very promising and may play a useful role in developing a better cost-effective strategy for waste management in future.

  12. Annual Review of BPA-Funded Projects in Natural and Artificial Propagation of Salmonids, March 27-29, 1985, Holiday Inn Airport, Portland, Oregon.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1985-04-01

    The Fish and Wildlife Division of Bonneville Power Administration (BPA) hosted a meeting for contractors to present the results of fiscal year 1984 research conducted to implement the Northwest Power Planning Council's Fish and Wildlife Program. The meeting focused on those projects specifically related to natural and artificial propagation of salmonids. The presentations were held at the Holiday Inn Airport in Portland, Oregon, on March 27-29, 1985. This document contains abstracts of the presentations from that meeting. Section 1 contains abstracts on artificial propagation, fish health, and downstream migration, and Section 2 contains abstracts on natural propagation and habitat improvement. The abstracts are indexed by BPA Project Number and by Fish and Wildlife Program Measure. The registered attendees at the meeting are listed alphabetically in Appendix A and by affiliation in Appendix B.

  13. Intelligent mobile sensor system for drum inspection and monitoring: Phase 1. Topical report, October 1, 1992--June 8, 1993

    SciTech Connect (OSTI)

    Not Available

    1993-06-01

    The objective of this project was to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The device is capable of operating in narrow aisles and interpolating the free aisle space between rows of stacked drums. The system has an integrated sensor suite for leak detection, and is interfaced with a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which positions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 90% of all drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase one is now complete. The first phase has demonstrated an integrated system for monitoring and inspection activities for waste storage facility operations. This demonstration system was quickly fielded and evaluated by leveraging technologies developed from previous NASA and DARPA contracts and internal research. The second phase will demonstrate a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project.

  14. CX-100595 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    El Paso Intelligence Center Ground-mounted Solar PV Project Award Number: DE-EE0007460 CX(s) Applied: A9 Federal Energy Management Program Date: 04/13/2016 Location(s): TX Office(s): Golden Field Office

  15. CX-100430 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancing Hydrogen Dispenser Technology by Using Innovative Intelligent Networks Award Number: DE-EE0007273 CX(s) Applied: A9, B3.6, B5.22 Fuel Cell Technologies Office Date: 12/22/15 Location(s): MA Office(s): Golden Field Office

  16. CX-009185: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    (0675 -1565) Penn State University - A Multi-Purpose, Intelligent, and Reconfigurable Battery Pack Health Management System CX(s) Applied: B3.6 Date: 09/06/2012 Location(s): Pennsylvania, Michigan, Michigan Offices(s): Advanced Research Projects Agency-Energy

  17. Circuitous journey brings Strasburg full circle | The Ames Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Strasburg has been conducting security-related research. His research interests include artificial intelligence approaches, automation in a variety of computer languages, network...

  18. APS 2004 Conferences

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SPIE's 49th Annual Meeting. (Aug. 2-6) Denver, CO Second International Conference on Artificial Intelligence in Engineering and Technology. (Aug. 3-5) Koto Kinabalu, Malaysia...

  19. Bonissone Honored at IEEE Awards | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    one of the first industrial applications for fuzzy logic, grew out of Piero's vision that artificial intelligence would facilitate "reasoning with uncertainty" and enable...

  20. Spider Technologies | Open Energy Information

    Open Energy Info (EERE)

    Tennessee Zip: 37172 Product: Spider Tech is a developer of proprietary internet, computer, artificial intelligence, IT software technologies and hi-tech business solutions....

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  15. NeuCo Inc | Open Energy Information

    Open Energy Info (EERE)

    search Name: NeuCo Inc. Place: Chardon, Ohio Zip: 44024 Sector: Services Product: Artificial intelligence software company which provides services to the electric power...

  16. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... He is an authority on artificial nanostructure synthesis and inventor of the quantum dot ...

  17. NREL: News - Technology Review Honors National Renewable Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Nadine Strossen, president of the ACLU; Rodney Brooks, Director of the Artificial Intelligence Laboratory and Co-director of Project Oxygen, MIT; Richard Rashid, Senior ...

  18. Smart Manufacturing: Transforming American Manufacturing with...

    Office of Environmental Management (EM)

    ... Streamline processes - Advanced modeling and simulation, along with new artificial intelligence capabilities can eliminate costly trial-and-error and actively correct problems in ...

  19. Aspen Elementary, Los Alamos Middle School students take top...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    They won for their project "Yavanchlan: Creating Optimal Strategies for Artificial Intelligence to Play Against Humans." They studied techniques to enable efficient computer play ...

  20. Aspen Elementary, Los Alamos Middle

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    They won for their project "Yavanchlan: Creating Optimal Strategies for Artificial Intelligence to Play Against Humans." They studied techniques to enable efficient computer play ...

  1. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... The results demonstrate that engineering artificial heterostructures provides a novel, ...

  2. Steven M. Gustafson | Inventors | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    His love of reading ranges from literature to other scientific disciplines. And Steven's field of study is on the leading edge of learning, too. From artificial intelligence and ...

  3. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... ; Liao Zhimin ; Yu Dapeng ; Wu Hanchun Artificial disorder was introduced gradually into ...

  4. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... (TMDs), are fascinating new artificial solids just nanometers-thin that ...

  5. Federspiel Controls’ Data Center Energy Efficient Cooling Control System

    SciTech Connect (OSTI)

    2011-05-31

    Fact sheet about combining artificial intelligence with variable flow control, direct temperature measurement, and best practices that can reduce cooling energy use by up to 50%.

  6. Risk assessment for Industrial Control Systems quantifying availabilit...

    Office of Scientific and Technical Information (OSTI)

    GrantContract Number: AC05-00OR22725 Type: Accepted Manuscript Journal Name: Journal of Artificial Intelligence and Soft Computing Research Additional Journal Information: Journal ...

  7. Search for: All records | SciTech Connect

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... Enfuvirtide: Highlighting Advantages of Artificial Peptide Strategy Zhu, Xiaojie ; Zhu, ...

  8. Rick Arthur | Inventors | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    So while "artificial intelligence" advances receive deserved attention, Rick posits the more exciting developments will be in how humans and machines work together using the ...

  9. Computers as Scientific Peers | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    This is clearly not a trivial task. For decades, researchers in a number of fields related to Linguistics and Artificial Intelligence have been working on problems that can ...

  10. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... one-dimensional optical lattices with artificial gauge fields Chien, Chih-Chun ; Di ...

  11. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... Characterization of superconducting nanowire single-photon detector with artificial ...

  12. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... Route for Enhanced Ferroelectricity in Artificial Perovskite Superlattices Wang, Hongwei ...

  13. Descartes Labs Emerges With $5M to Improve Data for Farmers

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Finding it and understanding it is hard though, and Descartes Labs Inc. has emerged with 5 million for artificial intelligence technology to help solve the problem. The ...

  14. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... Human beings, however, can trick nature by producing artificial structures which are not ...

  15. Microsoft Word - NETL-TRS-X-2015_ExpCharacterization_final_20150206...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... with CO 2 and CH 4 V Acronyms, Abbreviations, and Symbols Term Description AI Artificial intelligence ARRA American Recovery and Reinvestment Act of 2009 ATR Attenuated total ...

  16. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... on geological samples with and without artificial reduction of the signal-to-noise ratio. ...

  17. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... studied under various air humidities with a single artificial defect electrode. ...

  18. Brookhaven Lab Named an NVIDIA GPU Research Center: Designation...

    Broader source: Energy.gov (indexed) [DOE]

    for scientific, artificial intelligence, machine learning, ... In 2015, the Lab, building on its capabilities in data-i... to address scientific big data problems," said ...

  19. 20th International Conference on Case Based Reasoning | GE Global...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Efficiency of Scientific Data Analysis: Scientific ... other traditional Artificial Intelligence (AI) algorithms out there. ... Basically, the big take away is that while most AI ...

  20. ORNL Researchers Develop 'Autotune' Software to Make it Quicker...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... "The Autotune methodology uses multiparameter optimization techniques, in combination with big data mining-informed artificial intelligence agents, to automatically modify software ...

  1. GE's Arnie Lund Discusses User Experience at an Industrial Scale...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research in San Ramon, Calif, recently spoke to the Farstuff Podcast about innovation in user experience, the resurgence of artificial intelligence, and the challenges of big data. ...

  2. Using artificial neural networks to predict the performance of a liquid sodium reflux pool boiler solar receiver

    SciTech Connect (OSTI)

    Fowler, M.M.; Klett, D.E.; Moreno, J.B.; Heermann, P.D.

    1997-03-01

    Liquid metal reflux receivers (LMRRs) have been designed to serve as the interface between the solar concentrator dish and the Stirling engine of a dish Stirling power system. Such a receiver has undergone performance testing at Sandia National Laboratory to determine cold- and hot-start characteristics, component temperatures, throughput power, and thermal efficiency, for various times of day and year. Performance modeling will play an important role in the future commercialization of these systems since it will be necessary to predict overall energy production for potential installation sites based on available meteorological data. As a supplement to numerical thermal modeling, artificial neural networks (ANNs) have been investigated for their effectiveness in predicting long-term energy production of a LMRR. Two types of data were used to train ANNs, actual on-sun test data, and ersatz data. ANNs were trained on both the raw on-sun test data and on pre-formatted versions of the data to determine if pre-formatting of the input data would improve network training efficiency and predictive abilities. Usable on-sun test data were available for only a few days of performance testing. Therefore, a set of year-long ersatz data was generated using a transient numerical model driven by one-minute meteorological data from the Solar Energy Meteorological Research and Training Sites (SEMRTS) data base for Davis, CA. The ersatz data were used to train ANNs based on warm-month data, cool-month data, and year-long data to investigate the impact of using seasonal test data on long-term predictive capabilities. The findings indicated that a network trained on data from a limited time span could successfully predict annual energy output of a liquid metal receiver.

  3. SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

    SciTech Connect (OSTI)

    Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa

    2014-06-01

    Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation.

  4. SPECTRAL CLASSIFICATION OF GALAXIES AT 0.5 {<=} z {<=} 1 IN THE CDFS: THE ARTIFICIAL NEURAL NETWORK APPROACH

    SciTech Connect (OSTI)

    Teimoorinia, H.

    2012-12-01

    The aim of this work is to combine spectral energy distribution (SED) fitting with artificial neural network techniques to assign spectral characteristics to a sample of galaxies at 0.5 < z < 1. The sample is selected from the spectroscopic campaign of the ESO/GOODS-South field, with 142 sources having photometric data from the GOODS-MUSIC catalog covering bands between {approx}0.4 and 24 {mu}m in 10-13 filters. We use the CIGALE code to fit photometric data to Maraston's synthesis spectra to derive mass, specific star formation rate, and age, as well as the best SED of the galaxies. We use the spectral models presented by Kinney et al. as targets in the wavelength interval {approx}1200-7500 A. Then a series of neural networks are trained, with average performance {approx}90%, to classify the best SED in a supervised manner. We consider the effects of the prominent features of the best SED on the performance of the trained networks and also test networks on the galaxy spectra of Coleman et al., which have a lower resolution than the target models. In this way, we conclude that the trained networks take into account all the features of the spectra simultaneously. Using the method, 105 out of 142 galaxies of the sample are classified with high significance. The locus of the classified galaxies in the three graphs of the physical parameters of mass, age, and specific star formation rate appears consistent with the morphological characteristics of the galaxies.

  5. Artificial neural network implementation of chemistry with pdf simulation of H{sub 2}/CO{sub 2} flames

    SciTech Connect (OSTI)

    Christo, F.C.; Masri, A.R.; Nebot, E.M.

    1996-09-01

    A novel approach using artificial neural networks for representing chemical reactions is developed and successfully implemented with a modeled velocity-scalar joint pdf transport equation for H{sub 2}CO{sub 2} turbulent jet diffusion flames. The chemical kinetics are represented using a three-step reduced mechanism, and the transport equation is solved by a Monte Carlo method. A detailed analysis of computational performance and a comparison between the neural network approach and other methods used to represent the chemistry, namely the look-up table, or the direct integration procedures, are presented. A multilayer perceptron architecture is chosen for the neural network. The training algorithm is based on a back-propagation supervised learning procedure with individual momentum terms and adaptive learning rate adjustment for the weights matrix. A new procedure for the selection of training samples using dynamic randomization is developed and is aimed at reducing the possibility of the network being trapped in a local minimum. This algorithm achieved an impressive acceleration in convergence compared with the use of a fixed set of selected training samples. The optimization process of the neural network is discussed in detail. The feasibility of using neural network models to represent highly nonlinear chemical reactions is successfully illustrated. The prediction of the flow field and flame characteristics using the neural network approach is in good agreement with those obtained using other methods, and is also in reasonable agreement with the experimental data. The computational benefits of the neural network approach over the look-up table and the direct integration methods, both in CPU time and RAM storage requirements are not great for a chemical mechanisms of less than three reactions. The neural network approach becomes superior, however, for more complex reaction schemes.

  6. Artificial oxygen transport protein

    DOE Patents [OSTI]

    Dutton, P. Leslie

    2014-09-30

    This invention provides heme-containing peptides capable of binding molecular oxygen at room temperature. These compounds may be useful in the absorption of molecular oxygen from molecular oxygen-containing atmospheres. Also included in the invention are methods for treating an oxygen transport deficiency in a mammal.

  7. Improved Pharmacological and Structural Properties of HIV Fusion Inhibitor AP3 over Enfuvirtide: Highlighting Advantages of Artificial Peptide Strategy

    SciTech Connect (OSTI)

    Zhu, Xiaojie; Zhu, Yun; Ye, Sheng; Wang, Qian; Xu, Wei; Su, Shan; Sun, Zhiwu; Yu, Fei; Liu, Qi; Wang, Chao; Zhang, Tianhong; Zhang, Zhenqing; Zhang, Xiaoyan; Xu, Jianqing; Du, Lanying; Liu, Keliang; Lu, Lu; Zhang, Rongguang; Jiang, Shibo

    2015-08-19

    Enfuvirtide (T20), is the first HIV fusion inhibitor approved for treatment of HIV/AIDS patients who fail to respond to the current antiretroviral drugs. However, its clinical application is limited because of short half-life, drug resistance and cross-reactivity with the preexisting antibodies in HIV-infected patients. Using an artificial peptide strategy, we designed a peptide with non-native protein sequence, AP3, which exhibited potent antiviral activity against a broad spectrum of HIV-1 strains, including those resistant to T20, and had remarkably longer in vivo half-life than T20. While the preexisting antibodies in HIV-infected patients significantly suppressed T20’s antiviral activity, these antibodies neither recognized AP3, nor attenuated its anti-HIV-1 activity. Structurally different from T20, AP3 could fold into single-helix and interact with gp41 NHR. The two residues, Met and Thr, at the N-terminus of AP3 form a hook-like structure to stabilize interaction between AP3 and NHR helices. Therefore, AP3 has potential for further development as a new HIV fusion inhibitor with improved antiviral efficacy, resistance profile and pharmacological properties over enfuvirtide. Meanwhile, this study highlighted the advantages of artificially designed peptides, and confirmed that this strategy could be used in developing artificial peptide-based viral fusion inhibitors against HIV and other enveloped viruses.

  8. Artificial neural network modeling of the spontaneous combustion occurring in the industrial-scale coal stockpiles with 10-18 mm coal grain sizes

    SciTech Connect (OSTI)

    Ozdeniz, A.H.; Yilmaz, N.

    2009-07-01

    Companies consuming large amounts of coal should work with coal stocks in order to not face problems due to production delays. The industrial-scale stockpiles formed for the aforementioned reasons cause environmental problems and economic losses for the companies. This study was performed in a coal stock area of a large company in Konya, which uses large amounts of coal in its manufacturing units. The coal stockpile with 5 m width, 10 m length, 3 m height, and having 120 tons of weight was formed in the coal stock area of the company. The inner temperature data of the stockpile was recorded by 17 temperature sensors placed inside the stockpile at certain points. In order to achieve this goal, the electrical signal conversion of temperatures sensed by 17 temperature sensors placed in certain points inside the coal stockpile, the transfer of these electrical signals into computer media by using analog-digital conversion unit after applying necessary filtration and upgrading processes, and the record of these information into a database in particular time intervals are provided. Additionally, the data relating to the air temperature, air humidity, atmospheric pressure, wind velocity, and wind direction that are the parameters affecting the coal stockpile were also recorded. Afterwards, these measurement values were used for training and testing of an artificial neural network model. Comparison of the experimental and artificial neural network results, accuracy rates of training and testing were found to be 99.5% and 99.17%, respectively. It is shown that possible coal stockpile behavior with this artificial neural network model is powerfully estimated.

  9. Intelligence Research Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as the National Nuclear Forensics Library (NNFL) Project Manager within the Nuclear Materials Security Division.

  10. Robot Intelligence Kernel

    SciTech Connect (OSTI)

    2011-01-01

    Check out this robotics breakthrough which allows robots to behave autonomously. For more information about INL research projects, visit http://www.facebook.com/idahonationallaboratory.

  11. Robot Intelligence Kernel

    ScienceCinema (OSTI)

    None

    2013-05-28

    Check out this robotics breakthrough which allows robots to behave autonomously. For more information about INL research projects, visit http://www.facebook.com/idahonationallaboratory.

  12. Intelligence and Space Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    resources that out-perform requirements, operate autonomously in a harsh radiation environment, must survive launch and landing, and must operate through known and unknown...

  13. Sandia Heuristic Intelligent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... the most significant problems and challenges to our national security in this area. In our planning process, ECIS ... search, rescue, and emergency response. * Security concerns. ...

  14. LED Market Intelligence Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    sales mix means baselines should reflect the flow of sales, not the installed stock. The technologies already installed in buildings are not reflective of the current sales...

  15. Demand Dispatch-Intelligent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Contract: DE-FE0004001 Demand Dispatch- ... ISO Independent System Operators LMP Locational Marginal Price MW Mega-watt MWh ... today My generator may come on and off ...

  16. CX-010382: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Joint Center for Artificial Photosynthesis CX(s) Applied: A7; B1.4; B1.5; B1.7; B1.15; B1.24; B2.1; B2.2; B3.6 Date: 09/21/2010 Location(s): California Offices(s): Berkeley Site Office

  17. CX-011403: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Evaluating the Potential for Marine and Hydrokinetic Devices to Become Artificial Reefs of Fish Aggregating Devices Based on Analysis of Surrogates in Tropical, Subtropical and Temperate United States West Coast and Hawaiian Coastal Waters CX(s) Applied: A9 Date: 11/15/2013 Location(s): California, Hawaii Offices(s): Golden Field Office

  18. Survivability enhancement study for C/sup 3/I/BM (communications, command, control and intelligence/battle management) ground segments: Final report

    SciTech Connect (OSTI)

    Not Available

    1986-10-30

    This study involves a concept developed by the Fairchild Space Company which is directly applicable to the Strategic Defense Initiative (SDI) Program as well as other national security programs requiring reliable, secure and survivable telecommunications systems. The overall objective of this study program was to determine the feasibility of combining and integrating long-lived, compact, autonomous isotope power sources with fiber optic and other types of ground segments of the SDI communications, command, control and intelligence/battle management (C/sup 3/I/BM) system in order to significantly enhance the survivability of those critical systems, especially against the potential threats of electromagnetic pulse(s) (EMP) resulting from high altitude nuclear weapon explosion(s). 28 figs., 2 tabs.

  19. Impact of artificial lateral quantum confinement on exciton-spin relaxation in a two-dimensional GaAs electronic system

    SciTech Connect (OSTI)

    Kiba, Takayuki Murayama, Akihiro; Tanaka, Toru; Tamura, Yosuke; Higo, Akio; Thomas, Cedric; Samukawa, Seiji

    2014-10-15

    We demonstrate the effect of artificial lateral quantum confinement on exciton-spin relaxation in a GaAs electronic system. GaAs nanodisks (NDs) were fabricated from a quantum well (QW) by top-down nanotechnology using neutral-beam etching aided by protein-engineered bio-nano-templates. The exciton-spin relaxation time was 1.4 ns due to ND formation, significantly extended compared to 0.44 ns for the original QW, which is attributed to weakening of the hole-state mixing in addition to freezing of the carrier momentum. The temperature dependence of the spin-relaxation time depends on the ND thickness, reflecting the degree of quantum confinement.

  20. Johnson Creek Artificial Propagation and Enhancement Project Operations and Maintenance Program; Brood Year 1998: Johnson Creek Chinook Salmon Supplementation, Biennial Report 1998-2000.

    SciTech Connect (OSTI)

    Daniel, Mitch; Gebhards, John

    2003-05-01

    The Nez Perce Tribe, through funding provided by the Bonneville Power Administration, has implemented a small scale chinook salmon supplementation program on Johnson Creek, a tributary in the South Fork of the Salmon River, Idaho. The Johnson Creek Artificial Propagation Enhancement project was established to enhance the number of threatened Snake River summer chinook salmon (Oncorhynchus tshawytscha) returning to Johnson Creek through artificial propagation. Adult chinook salmon collection and spawning began in 1998. A total of 114 fish were collected from Johnson Creek and 54 fish (20 males and 34 females) were retained for Broodstock. All broodstock were transported to Lower Snake River Compensation Plan's South Fork Salmon River adult holding and spawning facility, operated by the Idaho Department of Fish and Game. The remaining 60 fish were released to spawn naturally. An estimated 155,870 eggs from Johnson Creek chinook spawned at the South Fork Salmon River facility were transported to the McCall Fish Hatchery for rearing. Average fecundity for Johnson Creek females was 4,871. Approximately 20,500 eggs from females with high levels of Bacterial Kidney Disease were culled. This, combined with green-egg to eyed-egg survival of 62%, resulted in about 84,000 eyed eggs produced in 1998. Resulting juveniles were reared indoors at the McCall Fish Hatchery in 1999. All of these fish were marked with Coded Wire Tags and Visual Implant Elastomer tags and 8,043 were also PIT tagged. A total of 78,950 smolts were transported from the McCall Fish Hatchery and released directly into Johnson Creek on March 27, 28, 29, and 30, 2000.

  1. Faith in the algorithm, part 1: beyond the turing test

    SciTech Connect (OSTI)

    Rodriguez, Marko A; Pepe, Alberto

    2009-01-01

    Since the Turing test was first proposed by Alan Turing in 1950, the goal of artificial intelligence has been predicated on the ability for computers to imitate human intelligence. However, the majority of uses for the computer can be said to fall outside the domain of human abilities and it is exactly outside of this domain where computers have demonstrated their greatest contribution. Another definition for artificial intelligence is one that is not predicated on human mimicry, but instead, on human amplification, where the algorithms that are best at accomplishing this are deemed the most intelligent. This article surveys various systems that augment human and social intelligence.

  2. Critical Combinations of Radiation Dose and Volume Predict Intelligence Quotient and Academic Achievement Scores After Craniospinal Irradiation in Children With Medulloblastoma

    SciTech Connect (OSTI)

    Merchant, Thomas E.; Schreiber, Jane E.; Wu, Shengjie; Lukose, Renin; Xiong, Xiaoping; Gajjar, Amar

    2014-11-01

    Purpose: To prospectively follow children treated with craniospinal irradiation to determine critical combinations of radiation dose and volume that would predict for cognitive effects. Methods and Materials: Between 1996 and 2003, 58 patients (median age 8.14 years, range 3.99-20.11 years) with medulloblastoma received risk-adapted craniospinal irradiation followed by dose-intense chemotherapy and were followed longitudinally with multiple cognitive evaluations (through 5 years after treatment) that included intelligence quotient (estimated intelligence quotient, full-scale, verbal, and performance) and academic achievement (math, reading, spelling) tests. Craniospinal irradiation consisted of 23.4 Gy for average-risk patients (nonmetastatic) and 36-39.6 Gy for high-risk patients (metastatic or residual disease >1.5 cm{sup 2}). The primary site was treated using conformal or intensity modulated radiation therapy using a 2-cm clinical target volume margin. The effect of clinical variables and radiation dose to different brain volumes were modeled to estimate cognitive scores after treatment. Results: A decline with time for all test scores was observed for the entire cohort. Sex, race, and cerebrospinal fluid shunt status had a significant impact on baseline scores. Age and mean radiation dose to specific brain volumes, including the temporal lobes and hippocampi, had a significant impact on longitudinal scores. Dichotomized dose distributions at 25 Gy, 35 Gy, 45 Gy, and 55 Gy were modeled to show the impact of the high-dose volume on longitudinal test scores. The 50% risk of a below-normal cognitive test score was calculated according to mean dose and dose intervals between 25 Gy and 55 Gy at 10-Gy increments according to brain volume and age. Conclusions: The ability to predict cognitive outcomes in children with medulloblastoma using dose-effects models for different brain subvolumes will improve treatment planning, guide intervention, and help

  3. The effect of sliding velocity on the mechanical response of an artificial joint in Topopah Spring Member tuff; Yucca Mountain Site Characterization Project

    SciTech Connect (OSTI)

    Olsson, W.A.

    1994-04-01

    A smooth artificial joint in Topopah Spring Member tuff was sheared at constant normal stress at velocities from 0 to 100 {mu}m/s to determine the velocity-dependence of shear strength. Two different initial conditions were used: (1) unprimed -- the joint had been shear stress-free since last application of normal stress, and before renewed shear loading; and (2) primed -- the joint had undergone a slip history after application of normal stress, but before the current shear loading. Observed steady-state rate effects were found to be about 3 times lager than for some other silicate rocks. These different initial conditions affected the character of the stress-slip curve immediately after the onset of slip. Priming the joint causes a peak in the stress-slip response followed by a transient decay to the steady-state stress, i.e., slip weakening. Slide-hold-slide tests exhibit time-dependent strengthening. When the joint was subjected to constant shear stress, no slip was observed; that is, joint creep did not occur. One set of rate data was collected from a surface submerged in tap water, the friction was higher for this surface, but the rate sensitivity was the same as that for surfaces tested in the air-dry condition.

  4. Development of epitaxial AlxSc1-xN for artificially structured metal/semiconductor superlattice metamaterials

    SciTech Connect (OSTI)

    Sands, Timothy D.; Stach, Eric A.; Saha, Bivas; Saber, Sammy; Naik, Gururaj V.; Boltasseva, Alexandra; Kvam, Eric P.

    2015-02-01

    Epitaxial nitride rocksalt metal/semiconductor superlattices are emerging as a novel class of artificially structured materials that have generated significant interest in recent years for their potential application in plasmonic and thermoelectric devices. Though most nitride metals are rocksalt, nitride semiconductors in general have hexagonal crystal structure. We report rocksalt aluminum scandium nitride (Al,Sc)N alloys as the semiconducting component in epitaxial rocksalt metal/semiconductor superlattices. The AlxSc1-xN alloys when deposited directly on MgO substrates are stabilized in a homogeneous rocksalt (single) phase when x < 0.51. Employing 20 nm TiN as a seed layer on MgO substrates, the homogeneity range for stabilizing the rocksalt phase has been extended to x < 0.82 for a 120 nm film. The rocksalt AlxSc1-xN alloys show moderate direct bandgap bowing with a bowing parameter, B = 1.41 0.19 eV. The direct bandgap of metastable rocksalt AlN is extrapolated to be 4.70 0.20 eV. The tunable lattice parameter, bandgap, dielectric permittivity, and electronic properties of rocksalt AlxSc1-xN alloys enable high quality epitaxial rocksalt metal/AlxSc1-xN superlattices with a wide range of accessible metamaterials properties.

  5. Development of epitaxial AlxSc1-xN for artificially structured metal/semiconductor superlattice metamaterials

    SciTech Connect (OSTI)

    Sands, Timothy D.; Stach, Eric A.; Saha, Bivas; Saber, Sammy; Naik, Gururaj V.; Boltasseva, Alexandra; Kvam, Eric P.

    2015-02-01

    Epitaxial nitride rocksalt metal/semiconductor superlattices are emerging as a novel class of artificially structured materials that have generated significant interest in recent years for their potential application in plasmonic and thermoelectric devices. Though most nitride metals are rocksalt, nitride semiconductors in general have hexagonal crystal structure. We report rocksalt aluminum scandium nitride (Al,Sc)N alloys as the semiconducting component in epitaxial rocksalt metal/semiconductor superlattices. The AlxSc1-xN alloys when deposited directly on MgO substrates are stabilized in a homogeneous rocksalt (single) phase when x < 0.51. Employing 20 nm TiN as a seed layer on MgO substrates, the homogeneity range for stabilizing the rocksalt phase has been extended to x < 0.82 for a 120 nm film. The rocksalt AlxSc1-xN alloys show moderate direct bandgap bowing with a bowing parameter, B = 1.41 ± 0.19 eV. The direct bandgap of metastable rocksalt AlN is extrapolated to be 4.70 ± 0.20 eV. The tunable lattice parameter, bandgap, dielectric permittivity, and electronic properties of rocksalt AlxSc1-xN alloys enable high quality epitaxial rocksalt metal/AlxSc1-xN superlattices with a wide range of accessible metamaterials properties.

  6. Categorical Exclusion Determinations: Washington | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Washington Categorical Exclusion Determinations: Washington Location Categorical Exclusion Determinations issued for actions in Washington. DOCUMENTS AVAILABLE FOR DOWNLOAD July 20, 2016 CX-100659 Categorical Exclusion Determination An Intelligent Adaptable Monitoring Package for Marine Renewable Energy Projects Award Number: DE-EE0006788 CX(s) Applied: A9, B3.6 Water Power Program Date: 7/12/2016 Location(s): WA Office(s): Golden Field Office June 8, 2016 CX-014608: Categorical Exclusion

  7. CX-100659 Categorical Exclusion Determination | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    9 Categorical Exclusion Determination CX-100659 Categorical Exclusion Determination An Intelligent Adaptable Monitoring Package for Marine Renewable Energy Projects Award Number: DE-EE0006788 CX(s) Applied: A9, B3.6 Water Power Program Date: 7/12/2016 Location(s): WA Office(s): Golden Field Office DOE is proposing to authorize the expenditure of federal funding by the University of Washington (UW) to develop and field test an integrated instrumentation package to be used for environmental

  8. A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

    SciTech Connect (OSTI)

    Mellit, Adel; Pavan, Alessandro Massi

    2010-05-15

    Forecasting of solar irradiance is in general significant for planning the operations of power plants which convert renewable energies into electricity. In particular, the possibility to predict the solar irradiance (up to 24 h or even more) can became - with reference to the Grid Connected Photovoltaic Plants (GCPV) - fundamental in making power dispatching plans and - with reference to stand alone and hybrid systems - also a useful reference for improving the control algorithms of charge controllers. In this paper, a practical method for solar irradiance forecast using artificial neural network (ANN) is presented. The proposed Multilayer Perceptron MLP-model makes it possible to forecast the solar irradiance on a base of 24 h using the present values of the mean daily solar irradiance and air temperature. An experimental database of solar irradiance and air temperature data (from July 1st 2008 to May 23rd 2009 and from November 23rd 2009 to January 24th 2010) has been used. The database has been collected in Trieste (latitude 45 40'N, longitude 13 46'E), Italy. In order to check the generalization capability of the MLP-forecaster, a K-fold cross-validation was carried out. The results indicate that the proposed model performs well, while the correlation coefficient is in the range 98-99% for sunny days and 94-96% for cloudy days. As an application, the comparison between the forecasted one and the energy produced by the GCPV plant installed on the rooftop of the municipality of Trieste shows the goodness of the proposed model. (author)

  9. Artificial Photosynthesis II - Joint Center for Artificial Photosynthe...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    evolution; (3) Membranes: finding the right material and fabrication routes for the multifunctional membrane that is the key ingredient in a photoelectrochemical cell; and...

  10. Nanoscale, multidimensional artificial magnet created

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    an array of magnetic nano-islands along a geometry that is not found in natural magnets. ... an array of magnetic nano-islands along a geometry that is not found in natural magnets. ...

  11. Generic NOx Control Intelligent System

    Energy Science and Technology Software Center (OSTI)

    1997-03-24

    GNOCIS is a system of programs designed to perform on-line closed-loop optimization of utility boilers. The major components of the system include: GNREAD A program which resides on the host digital control system (DCS) that retrieves data from the DCS and then transmits the collected data to the GNOCIS host system. GNWRITE A program which resides on the host DCS that receives data from the GNOCIS host platform and then sends this information to themore » DCS. GNARCH A program which resides on the GNOCIS host platform that receives data from GNREAD or GNCTL and then archives this data on a periodic basis. GNCTL A program which resides on the GNOCIS host platform that receives data from GNREAD and then executes the optimizer/combustion model. GNDCS Configuration changes to the DCS which allows automatic implementation of the GNOCIS recommendations and closed-loop operation. Substantial safeguards and constraints are imbedded in this component to prevent adverse impact on unit operation.« less

  12. Intelligence Analysis | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    destruction of sensitive components at the laboratory and the Technical Assessment Translation Services that provides technical translations for other government agencies. Click...

  13. iDriving (Intelligent Driving)

    Energy Science and Technology Software Center (OSTI)

    2012-09-17

    iDriving identifies the driving style factors that have a major impact on fuel economy. An optimization framework is used with the aim of optimizing a driving style with respect to these driving factors. A set of polynomial metamodels is constructed to reflect the responses produced in fuel economy by changing the driving factors. The optimization framework is used to develop a real-time feedback system, including visual instructions, to enable drivers to alter their driving stylesmore » in responses to actual driving conditions to improve fuel efficiency.« less

  14. Autonomous Intelligent Hybrid Propulsion Systems

    Broader source: Energy.gov [DOE]

    2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  15. Intelligent Shift Register Monitor Software

    Energy Science and Technology Software Center (OSTI)

    2001-01-19

    The ISR Monitor program is used to acquire data from a neutron detector connected to an AMSR electronics unit. The program stores all data collected in internal memory and dumps its stored data to an external computer upon request.

  16. Intelligent Generation | Open Energy Information

    Open Energy Info (EERE)

    Chicago, Illinois Zip: 60603 Sector: Renewable Energy Product: Chicago-based maker of software aimed at optimising distributed renewable energy generation and power storage....

  17. Robust and intelligent bearing estimation

    DOE Patents [OSTI]

    Claassen, John P.

    2000-01-01

    A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.

  18. Extracting biological knowledge from DNA sequences

    SciTech Connect (OSTI)

    De La Vega, F.M.; Thieffry, D.; Collado-Vides, J.

    1996-12-31

    This session describes the elucidation of information from dna sequences and what challenges computational biologists face in their task of summarizing and deciphering the human genome. Techniques discussed include methods from statistics, information theory, artificial intelligence and linguistics. 1 ref.

  19. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... (IE) (United States) USDOE Office of Intelligence and Counterintelligence (IN) (United ... An Artificial SEI Enables the Use of A LiNi0.5Mn1.5O4 5 V Cathode with Conventional ...

  20. CX-007124: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Predicting Log Porosity and Saturations from Mud Logs and Drilling Rates Using Artificial IntelligenceCX(s) Applied: A9Date: 10/03/2011Location(s): Socorro, New MexicoOffice(s): Fossil Energy

  1. Fullrmc, A Rigid Body Reverse Monte Carlo Modeling Package Enabled With

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Machine Learning And Artificial Intelligence - Joint Center for Energy Storage Research January 22, 2016, Research Highlights Fullrmc, A Rigid Body Reverse Monte Carlo Modeling Package Enabled With Machine Learning And Artificial Intelligence Liquid Sulfur. Sx≤8 molecules recognized and built upon modelling Scientific Achievement Novel approach to reverse modelling atomic and molecular systems from a set of experimental data and constraints. New fitting concepts such as 'Group',

  2. Evaluating the Potential for Marine and Hydrokinetic Devices to Act as Artificial Reefs or Fish Aggregating Devices. Based on Analysis of Surrogates in Tropical, Subtropical, and Temperate U.S. West Coast and Hawaiian Coastal Waters

    SciTech Connect (OSTI)

    Kramer, Sharon H.; Hamilton, Christine D.; Spencer, Gregory C.; Ogston, Heather O.

    2015-05-12

    Wave energy converters (WECs) and tidal energy converters (TECs) are only beginning to be deployed along the U.S. West Coast and in Hawai‘i, and a better understanding of their ecological effects on fish, particularly on special-status fish (e.g., threatened and endangered) is needed to facilitate project design and environmental permitting. The structures of WECs and TECs placed on to the seabed, such as anchors and foundations, may function as artificial reefs that attract reef-associated fishes, while the midwater and surface structures, such as mooring lines, buoys, and wave or tidal power devices, may function as fish aggregating devices (FADs), forming the nuclei for groups of fishes. Little is known about the potential for WECs and TECs to function as artificial reefs and FADs in coastal waters of the U.S. West Coast and Hawai‘i. We evaluated these potential ecological interactions by reviewing relevant information about fish associations with surrogate structures, such as artificial reefs, natural reefs, kelps, floating debris, oil and gas platforms, marine debris, anchored FADs deployed to enhance fishing opportunities, net-cages used for mariculture, and piers and docks. Based on our review, we postulate that the structures of WECs and TECs placed on or near the seabed in coastal waters of the U.S. West Coast and Hawai‘i likely will function as small-scale artificial reefs and attract potentially high densities of reef-associated fishes (including special-status rockfish species [Sebastes spp.] along the mainland), and that the midwater and surface structures of WECs placed in the tropical waters of Hawai‘i likely will function as de facto FADs with species assemblages varying by distance from shore and deployment depth. Along the U.S. West Coast, frequent associations with midwater and surface structures may be less likely: juvenile, semipelagic, kelp-associated rockfishes may occur at midwater and surface structures of WECs in coastal waters of

  3. Towards bio-silicon interfaces: Formation of an ultra-thin self-hydrated artificial membrane composed of dipalmitoylphosphatidylcholine (DPPC) and chitosan deposited in high vacuum from the gas-phase

    SciTech Connect (OSTI)

    Retamal, María J. Cisternas, Marcelo A.; Seifert, Birger; Volkmann, Ulrich G.; Gutierrez-Maldonado, Sebastian E.; Perez-Acle, Tomas; Busch, Mark; Huber, Patrick

    2014-09-14

    The recent combination of nanoscale developments with biological molecules for biotechnological research has opened a wide field related to the area of biosensors. In the last years, device manufacturing for medical applications adapted the so-called bottom-up approach, from nanostructures to larger devices. Preparation and characterization of artificial biological membranes is a necessary step for the formation of nano-devices or sensors. In this paper, we describe the formation and characterization of a phospholipid bilayer (dipalmitoylphosphatidylcholine, DPPC) on a mattress of a polysaccharide (Chitosan) that keeps the membrane hydrated. The deposition of Chitosan (∼25 Å) and DPPC (∼60 Å) was performed from the gas phase in high vacuum onto a substrate of Si(100) covered with its native oxide layer. The layer thickness was controlled in situ using Very High Resolution Ellipsometry (VHRE). Raman spectroscopy studies show that neither Chitosan nor DPPC molecules decompose during evaporation. With VHRE and Atomic Force Microscopy we have been able to detect phase transitions in the membrane. The presence of the Chitosan interlayer as a water reservoir is essential for both DPPC bilayer formation and stability, favoring the appearance of phase transitions. Our experiments show that the proposed sample preparation from the gas phase is reproducible and provides a natural environment for the DPPC bilayer. In future work, different Chitosan thicknesses should be studied to achieve a complete and homogeneous interlayer.

  4. Mimicking Nature - A Step Towards Artificial Photosynthesis|...

    Office of Science (SC) Website

    Important step in designing bioinspired solar devices that efficiently capture and transfer light energy Research Details The chlorosome, the extremely efficient light harvesting ...

  5. Construction of artificial pigment-protein antennae

    SciTech Connect (OSTI)

    Sibbald, J.

    1997-01-10

    Photosynthesis is a complex process which results in the conversion of solar radiation into chemical energy. This chemical energy is then used as the free energy source for all living organisms. In its basic form, photosynthesis can be described as the light-activated synthesis of carbohydrates from the simple molecules of water and carbon dioxide: 6H{sub 2}O + 6 CO{sub 2} light C{sub 6}H{sub 12}O{sub 6} + 6 O{sub 2} This basic mechanism actually requires numerous reaction steps. The two primary steps being: the capture of light by pigment molecules in light-harvesting antenna complexes and the transfer of this captured energy to the so-called photochemical reaction center. While the preferred pathway for energy absorbed by the chromophores in the antenna complexes is transfer to the reaction center, energy can be lost to competing processes such as internal conversion or radiative decay. Therefore, the energy transfer must be rapid, typically on the order of picoseconds, to successfully compete. The focus of the present work is on the construction of light-harvesting antenna complexes incorporating modular pigment-proteins.

  6. "Artificial" brains, electrical grids, and disease modeling:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Deputy Principal Associate Director Duncan McBranch will discuss LDRD impacts on border security and the nation's energy grid at 1 p.m. The event is an ideal opportunity...

  7. TEDANN: Turbine engine diagnostic artificial neural network

    SciTech Connect (OSTI)

    Kangas, L.J.; Greitzer, F.L.; Illi, O.J. Jr.

    1994-03-17

    The initial focus of TEDANN is on AGT-1500 fuel flow dynamics: that is, fuel flow faults detectable in the signals from the Electronic Control Unit`s (ECU) diagnostic connector. These voltage signals represent the status of the Electro-Mechanical Fuel System (EMFS) in response to ECU commands. The EMFS is a fuel metering device that delivers fuel to the turbine engine under the management of the ECU. The ECU is an analog computer whose fuel flow algorithm is dependent upon throttle position, ambient air and turbine inlet temperatures, and compressor and turbine speeds. Each of these variables has a representative voltage signal available at the ECU`s J1 diagnostic connector, which is accessed via the Automatic Breakout Box (ABOB). The ABOB is a firmware program capable of converting 128 separate analog data signals into digital format. The ECU`s J1 diagnostic connector provides 32 analog signals to the ABOB. The ABOB contains a 128 to 1 multiplexer and an analog-to-digital converter, CP both operated by an 8-bit embedded controller. The Army Research Laboratory (ARL) developed and published the hardware specifications as well as the micro-code for the ABOB Intel EPROM processor and the internal code for the multiplexer driver subroutine. Once the ECU analog readings are converted into a digital format, the data stream will be input directly into TEDANN via the serial RS-232 port of the Contact Test Set (CTS) computer. The CTS computer is an IBM compatible personal computer designed and constructed for tactical use on the battlefield. The CTS has a 50MHz 32-bit Intel 80486DX processor. It has a 200MB hard drive and 8MB RAM. The CTS also has serial, parallel and SCSI interface ports. The CTS will also host a frame-based expert system for diagnosing turbine engine faults (referred to as TED; not shown in Figure 1).

  8. Artificial photosynthesis combines biology with technology for...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Photosynthesis supports the biosphere. Currently, human activity appropriates about one ... Even with a fundamental realignment of human priorities, changing the unsustainable ...

  9. Intelligent Energy Europe (IEE) | Open Energy Information

    Open Energy Info (EERE)

    Energy Topics Finance, Market analysis, Background analysis Website http:ec.europa.euenergyint UN Region Northern Europe References IEE1 Overview "Set up by the EU...

  10. Protecting Intelligent Distributed Power Grids Against Cyber...

    Energy Savers [EERE]

    distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. ...

  11. Session title: Distributed and intelligent databases

    SciTech Connect (OSTI)

    Argos, P.; Mewes, H.W.; Frishman, D.

    1996-12-31

    This session focuses on the recent advances in the delivery of information to the biological community concerning genome sequencing and related information. New approaches include interconnecting existing databases, knowledge-based expert systems, interface languages and multiserver management.

  12. Intelligent Transportation Systems Deployment Analysis System...

    Open Energy Info (EERE)

    Transportation Systems Deployment Analysis System AgencyCompany Organization: Cambridge Systematics Sector: Energy Focus Area: Transportation Resource Type: Software...

  13. Intelligent Unmanned Monitoring of Remediated Sites

    SciTech Connect (OSTI)

    Emile Fiesler, Ph.D.

    2001-06-01

    During this Phase I project, IOS demonstrated the feasibility of combining digital signal processing and neural network analysis to analyze spectral signals from pure samples of several typical contaminants. We fabricated and tested a prototype system by automatically analyzing Raman spectral data taken in the Vadose zone at the 321 M site in the M area of DOE's Savannah River Site in South Carolina. This test demonstration proved the ability of IOS's technology to detect the target contaminants, tetrachloroethylene (PCE) and trichloroethylene (TCE), in isolation, and to detect the spectra of these contaminants in real-world noisy samples taken from a mixture of materials obtained from this typical remediation target site.

  14. Center for Intelligent Fuel Cell Materials Design

    SciTech Connect (OSTI)

    Santurri, P.R.,; Hartmann-Thompson, C.; Keinath, S.E.

    2008-08-26

    The goal of this work was to develop a composite proton exchange membrane utilizing 1) readily available, low cost materials 2) readily modified and 3) easily processed to meet the chemical, mechanical and electrical requirements of high temperature PEM fuel cells. One of the primary goals was to produce a conducting polymer that met the criteria for strength, binding capability for additives, chemical stability, dimensional stability and good conductivity. In addition compatible, specialty nanoparticles were synthesized to provide water management and enhanced conductivity. The combination of these components in a multilayered, composite PEM has demonstrated improved conductivity at high temperatures and low humidity over commercially available polymers. The research reported in this final document has greatly increased the knowledge base related to post sulfonation of chemically and mechanically stable engineered polymers (Radel). Both electrical and strength factors for the degree of post sulfonation far exceed previous data, indicating the potential use of these materials in suitable proton exchange membrane architectures for the development of fuel cells. In addition compatible, hydrophilic, conductive nano-structures have been synthesized and incorporated into unique proton exchange membrane architectures. The use of post sulfonation for the engineered polymer and nano-particle provide cost effective techniques to produce the required components of a proton exchange membrane. The development of a multilayer proton exchange membrane as described in our work has produced a highly stable membrane at 170°C with conductivities exceeding commercially available proton exchange membranes at high temperatures and low humidity. The components and architecture of the proton exchange membrane discussed will provide low cost components for the portable market and potentially the transportation market. The development of unique components and membrane architecture provides a key element for the United States: 1) to transition the country from a fossil fuel based energy economy to a renewable energy based economy, and 2) to reduce our dependence on foreign oil. Developments of this program will serve as an important step toward continuing PEMFC technology and ultimately the broad-based commercial availability of this technology and its benefits.

  15. An intelligent inspection and survey robot

    SciTech Connect (OSTI)

    Byrd, J.S.

    1995-10-01

    Large quantities of mixed and low-level radioactive waste contained in 55-, 85-, and 110-gallon steel drums are stored at Department of Energy (DOE) warehouses located throughout the United States. The steel drums are placed on pallets and stacked on top of one another, forming a column of drums ranging in heights of one to four drums and up to 16 feet high. The columns of drums are aligned in rows forming an aisle approximately three feet wide between the rows of drums. Tens of thousands of drums are stored in these warehouses throughout the DOE complex. ARIES (Autonomous Robotic Inspection Experimental System) is under development for the DOE to survey and inspect these drums. The robot will navigate through the aisles and perform an inspection operation, typically performed by a human operator, making decisions about the condition of the drums and maintaining a data of pertinent information about each drum.

  16. Intelligent electrical outlet for collective load control

    DOE Patents [OSTI]

    Lentine, Anthony L.; Ford, Justin R.; Spires, Shannon V.; Goldsmith, Steven Y.

    2015-10-27

    Various technologies described herein pertain to an electrical outlet that autonomously manages loads in a microgrid. The electrical outlet can provide autonomous load control in response to variations in electrical power generation supply in the microgrid. The electrical outlet includes a receptacle, a sensor operably coupled to the receptacle, and an actuator configured to selectively actuate the receptacle. The sensor measures electrical parameters at the receptacle. Further, a processor autonomously controls the actuator based at least in part on the electrical parameters measured at the receptacle, electrical parameters from one or more disparate electrical outlets in the microgrid, and a supply of generated electric power in the microgrid at a given time.

  17. Robotics - Intelligence Kernel - Energy Innovation Portal

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    on the defined contour path thus reducing the need for continuous attention by the operator. Benefits - Reduces overlap andor skipping, - Increases safety, efficiency, accuracy, - ...

  18. Intelligent electrical outlet for collective load control

    DOE Patents [OSTI]

    Lentine, Anthony L; Ford, Justin R; Spires, Shannon V; Goldsmith, Steven Y

    2015-11-05

    Various technologies described herein pertain to an electrical outlet that autonomously manages loads in a microgrid. The electrical outlet can provide autonomous load control in response to variations in electrical power generation supply in the microgrid. The electrical outlet includes a receptacle, a sensor operably coupled to the receptacle, and an actuator configured to selectively actuate the receptacle. The sensor measures electrical parameters at the receptacle. Further, a processor autonomously controls the actuator based at least in part on the electrical parameters measured at the receptacle, electrical parameters from one or more disparate electrical outlets in the microgrid, and a supply of generated electric power in the microgrid at a given time.

  19. Intelligent Rail Networks | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Research: Holiday Shopping & Electric Vehicles IMG0475 Innovation 247: We're Always Open primusenginefeaturedimage3 GE Innovation and Manufacturing in Europe ...

  20. Intelligent Sensor Tasking for Space Collision Mitigation

    SciTech Connect (OSTI)

    Olivier, S S; Pertica, A J; Henderson, J R

    2010-04-01

    Orbital collisions pose a hazard to space operations. Using a high performance computer modeling and simulation environment for space situational awareness, we explore a new paradigm for improving satellite conjunction analysis by obtaining more precise orbital information only for those objects that pose a collision risk greater than a defined threshold to a specific set of satellites during a specified time interval. In particular, we assess the improvement in the quality of the conjunction analysis that can be achieved using a distributed network of ground-based telescopes.

  1. Transactive energy: enabling a more intelligent, interactive...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    such as customer engagement, business and policy barriers, grid economics, the role of demand response, and cyber and physical security risks. But the transactive concept isn't...

  2. 3D Technology for intelligent trackers

    SciTech Connect (OSTI)

    Lipton, Ronald; /Fermilab

    2010-09-01

    At Super-LHC luminosity it is expected that the standard suite of level 1 triggers for CMS will saturate. Information from the tracker will be needed to reduce trigger rates to satisfy the level 1 bandwidth. Tracking trigger modules which correlate information from closely-spaced sensor layers to form an on-detector momentum filter are being developed by several groups. We report on a trigger module design which utilizes three dimensional integrated circuit technology incorporating chips which are connected both to the top and bottom sensor, providing the ability to filter information locally. A demonstration chip, the VICTR, has been submitted to the Chartered/Tezzaron two-tier 3D run coordinated by Fermilab. We report on the 3D design concept, the status of the VICTR chip and associated sensor integration utilizing oxide bonding.

  3. ARM - Publications: Science Team Meeting Documents

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Agents in ARM: Applying Artificial Intelligence to ARM Data Mining Kuchar, O.A. and Reyes-Spindola, J., Pacific Northwest National Laboratory Fourteenth Atmospheric Radiation Measurement (ARM) Science Team Meeting We present a vision of a prototype environment that utilizes a co-operative community of intelligent software agents (a computer program that behaves in a manner analogous to a human agent) for the creation of an integrative, computer-based data analysis architecture to mine massive

  4. Supervisory, Intelligence Research Specialist, GS-132-14 (Director- Intelligence Watch Officer)

    Broader source: Energy.gov [DOE]

    Job Announcement Number: 16-0001 Who may apply: Current IN Federal Employees Only Duty Location: 1 vacancy Washington, DC Metro Area Open Period: January 14, 2016 - January 28, 2016

  5. CX-007123: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Predicting Log Porosity and Saturations from Mud Logs and Drilling Rates Using Artificial IntelligenceCX(s) Applied: B3.7Date: 10/03/2011Location(s): Lea County, New MexicoOffice(s): Fossil Energy, National Energy Technology Laboratory

  6. Guiding drilling operations

    SciTech Connect (OSTI)

    Not Available

    1985-06-01

    Artificial intelligence (AI) was the overriding theme at this year's Offshore Technology Conference (OTC) exhibition and conference, with the emphasis more on drilling rather than production methods. A wide range of electronic aids to improve accuracy and speed in drilling operations - from calculators to computers - is described.

  7. DNA-Directed Artificial Light-Harvesting Antenna

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ratios to facilitate efficient unidirectional energy transfer is extremely challenging. ... stepwise funneling of the excitation energy from the primary donor array to the ...

  8. Light Trapping, Absorption and Solar Energy Harvesting by Artificial Materials

    SciTech Connect (OSTI)

    John, Sajeev

    2014-08-15

    We provide designs of thin-film solar cells utilizing optimized photonic-crystal light-trapping and numerical simulations of their solar-to-electrical power conversion efficiencies.

  9. Enhanced piezoelectric response in the artificial ferroelectric polymer multilayers

    SciTech Connect (OSTI)

    Zhao, X. L.; Wang, J. L. E-mail: lin-tie@mail.sitp.ac.cn; Tian, B. B.; Liu, B. L.; Wang, X. D.; Sun, S.; Zou, Y. H.; Lin, T. E-mail: lin-tie@mail.sitp.ac.cn; Sun, J. L.; Meng, X. J.; Chu, J. H.

    2014-12-01

    An actuator with a high piezoelectric response, the ferroelectric polymer multilayer actuator, is described. The ferroelectric polymer multilayers consisting of alternative ferroelectric poly(vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)) copolymer and relaxor poly(vinylidene fluoride-trifluoroethylene-chlorofloroethylene) (P(VDF-TrFE-CFE)) terpolymer with different periodicities and fixed total thickness are prepared by the Langmuir-Blodgett technique. Both X-ray diffraction and Raman spectroscopic measurements indicate that the structure of the multilayer with thin alternating layer is similar to that of the ferroelectric copolymer. Compared with that of the copolymer, it is found that the piezoelectric coefficient of the multilayer could be improved by 57%. We attributed the enhanced piezoelectric response of the multilayers to the internal electric fields that arises from the electrostatic couplings between different layers.

  10. Monitoring of vibrating machinery using artificial neural networks

    SciTech Connect (OSTI)

    Alguindigue, I.E.; Loskiewicz-Buczak, A. . Dept. of Nuclear Engineering); Uhrig, R.E. . Dept. of Nuclear Engineering Oak Ridge National Lab., TN )

    1991-01-01

    The primary source of vibration in complex engineering systems is rotating machinery. Vibration signatures collected from these components render valuable information about the operational state of the system and may be used to perform diagnostics. For example, the low frequency domain contains information about unbalance, misalignment, instability in journal bearing and mechanical looseness; analysis of the medium frequency range can render information about faults in meshing gear teeth; while the high frequency domain will contain information about incipient faults in rolling-element bearings. Trend analysis may be performed by comparing the vibration spectrum for each machine with a reference spectrum and evaluating the vibration magnitude changes at different frequencies. This form of analysis for diagnostics is often performed by maintenance personnel monitoring and recording transducer signals and analyzing the signals to identify the operating condition of the machine. With the advent of portable fast Fourier transform (FFT) analyzers and laptop'' computers, it is possible to collect and analyze vibration data an site and detect incipient failures several weeks or months before repair is necessary. It is often possible to estimate the remaining life of certain systems once a fault has been detected. RMS velocity, acceleration, displacements, peak value, and crest factor readings can be collected from vibration sensors. To exploit all the information embedded in these signals, a robust and advanced analysis technique is required. Our goal is to design a diagnostic system using neural network technology, a system such as this would automate the interpretation of vibration data coming from plant-wide machinery and permit efficient on-line monitoring of these components.

  11. Monitoring of vibrating machinery using artificial neural networks

    SciTech Connect (OSTI)

    Alguindigue, I.E.; Loskiewicz-Buczak, A.; Uhrig, R.E. |

    1991-12-31

    The primary source of vibration in complex engineering systems is rotating machinery. Vibration signatures collected from these components render valuable information about the operational state of the system and may be used to perform diagnostics. For example, the low frequency domain contains information about unbalance, misalignment, instability in journal bearing and mechanical looseness; analysis of the medium frequency range can render information about faults in meshing gear teeth; while the high frequency domain will contain information about incipient faults in rolling-element bearings. Trend analysis may be performed by comparing the vibration spectrum for each machine with a reference spectrum and evaluating the vibration magnitude changes at different frequencies. This form of analysis for diagnostics is often performed by maintenance personnel monitoring and recording transducer signals and analyzing the signals to identify the operating condition of the machine. With the advent of portable fast Fourier transform (FFT) analyzers and ``laptop`` computers, it is possible to collect and analyze vibration data an site and detect incipient failures several weeks or months before repair is necessary. It is often possible to estimate the remaining life of certain systems once a fault has been detected. RMS velocity, acceleration, displacements, peak value, and crest factor readings can be collected from vibration sensors. To exploit all the information embedded in these signals, a robust and advanced analysis technique is required. Our goal is to design a diagnostic system using neural network technology, a system such as this would automate the interpretation of vibration data coming from plant-wide machinery and permit efficient on-line monitoring of these components.

  12. Electroelastic fields in artificially created vortex cores in...

    Office of Scientific and Technical Information (OSTI)

    GrantContract Number: FG02-07ER46417 Type: Publisher's Accepted Manuscript Journal Name: Applied Physics Letters Additional Journal Information: Journal Volume: 107; Journal ...

  13. Real and effective thermal equilibrium in artificial square spin...

    Office of Scientific and Technical Information (OSTI)

    Publication Date: 2013-01-09 OSTI Identifier: 1101866 Type: Publisher's Accepted Manuscript Journal Name: Physical Review B Additional Journal Information: Journal Volume: 87; ...

  14. Subtask 4: Artificial reaction center-antenna complex | Center...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    M.J., Kodis, G., Poluektov, O.G., Rajh, T., Mujica, V., Groy, T. L., Gust, D., Moore, T.A., Moore, A.L. (2014) A bioinspired redox relay that mimics radical interactions...

  15. Synthetic nanotubes lay foundation for new technology: Artificial...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... To learn more about the Office of Science x-ray user facilities, visit http:science.energy.govuser-facilitiesbasic-energy-sciences. Argonne National Laboratory seeks solutions ...

  16. McMaster University`s artificial computing system

    SciTech Connect (OSTI)

    Dawes, A.; Bentley, M.

    1996-12-31

    This will be McMaster University`s first entry into the AAAI Mobile Robotics competition. As such, this year will serve as a testing ground for future developments. It is the goal of the designers to experiment with new techniques and approaches based on their engineering background.

  17. Rewritable Artificial Magnetic Charge Ice | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now Revolution Now For decades, America has anticipated the

  18. Nanocluster building blocks of artificial square spin ice: Stray...

    Office of Scientific and Technical Information (OSTI)

    Author Affiliations Institute of Physics, Goethe-University Frankfurt, FrankfurtMain (Germany) Laboratory for Nanoelectronics and Spintronics, Research Institute of Electrical...

  19. Artificial films mimic myelin sheath in new research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    phospholipids onto a silicon wafer substrate. Then the team used a near room temperature method to expose the highly ordered lipid films to vapors of silica precursor and...

  20. Artificial films mimic myelin sheath in new research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    of robust hybrid model membrane Schematic of robust hybrid model membrane The journal ACS Nano published the research team's findings, and this is the first report of a hybrid...

  1. Stories of Discovery & Innovation: A Step Toward Artificial Photosynth...

    Office of Science (SC) Website

    This work, featured in the Office of Science's Stories of Discovery & Innovation, was supported by the Photosynthetic Antenna Research Center (PARC), an EFRC led by Robert ...

  2. Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesi...

    Office of Science (SC) Website

    Researchers developed a versatile, fully integrated microfluidic test-bed to facilitate ... With its small size and adaptability, the test-bed can expedite the discovery and ...

  3. Temperature and magnetic-field driven dynamics in artificial...

    Office of Scientific and Technical Information (OSTI)

    of the celebrated vertex models of statistical mechanics, where the exact microstate ... undergoing the usual finite-temperature fluctuations of a statistical mechanical system. ...

  4. KRQE News: New Mexico scientists develop tiny, artificial lung

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1-C Wholesale Power Rate Schedule KP-AP-1-C Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted and scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection

  5. Beneficial role of noise in artificial neural networks

    SciTech Connect (OSTI)

    Monterola, Christopher; Saloma, Caesar; Zapotocky, Martin

    2008-06-18

    We demonstrate enhancement of neural networks efficacy to recognize frequency encoded signals and/or to categorize spatial patterns of neural activity as a result of noise addition. For temporal information recovery, noise directly added to the receiving neurons allow instantaneous improvement of signal-to-noise ratio [Monterola and Saloma, Phys. Rev. Lett. 2002]. For spatial patterns however, recurrence is necessary to extend and homogenize the operating range of a feed-forward neural network [Monterola and Zapotocky, Phys. Rev. E 2005]. Finally, using the size of the basin of attraction of the networks learned patterns (dynamical fixed points), a procedure for estimating the optimal noise is demonstrated.

  6. Doped colloidal artificial spin ice (Journal Article) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Date: 2015-10-07 OSTI Identifier: 1236014 Report Number(s): LA-UR--15-24826 Journal ID: ISSN 1367-2630 GrantContract Number: PN-II-RU-TE-2011-3-0114; AC52-06NA25396...

  7. Doped colloidal artificial spin ice (Journal Article) | DOE PAGES

    Office of Scientific and Technical Information (OSTI)

    Date: 2015-10-07 OSTI Identifier: 1236014 Report Number(s): LA-UR--15-24826 Journal ID: ISSN 1367-2630 GrantContract Number: PN-II-RU-TE-2011-3-0114; AC52-06NA25396...

  8. Intelligent Sun Tracking for a CPV Power Plant

    SciTech Connect (OSTI)

    Maqsood, Ishtiaq; Emziane, Mahieddine

    2010-10-14

    The output of a solar panel is strongly dependent on the amount of perpendicular light flux falling on its surface, and a tracking system tries to parallel the vector area of the solar panel surface to the incident solar flux. We present a tracking technique based on a two-axis sun sensor which can be used to increase the power output from a number of CPV arrays connected together in a solar power plant. The outdoor testing procedure of the developed two-axis sun sensor is discussed. The detail of the algorithm used together with the related sun tracking equipment is also presented and discussed for the new two axes sun tracking system.

  9. Intelligent Vehicle Charging Benefits Assessment Using EV Project Data

    SciTech Connect (OSTI)

    Letendre, Steven; Gowri, Krishnan; Kintner-Meyer, Michael CW; Pratt, Richard M.

    2013-12-01

    PEVs can represent a significant power resource for the grid. An IVCI with bi-direction V2G capabilities would allow PEVs to provide grid support services and thus generate a source of revenue for PEV owners. The fleet of EV Project vehicles represents a power resource between 30 MW and 90 MW, depending on the power rating of the grid connection (5-15 kW). Aggregation of vehicle capacity would allow PEVs to participate in wholesale reserve capacity markets. One of the key insights from EV Project data is the fact that vehicles are connected to an EVSE much longer than is necessary to deliver a full charge. During these hours when the vehicles are not charging, they can be participating in wholesale power markets providing the high-value services of regulation and spinning reserves. The annual gross revenue potential for providing these services using the fleet of EV Project vehicles is several hundred thousands of dollars to several million dollars annually depending on the power rating of the grid interface, the number of hours providing grid services, and the market being served. On a per vehicle basis, providing grid services can generate several thousands of dollars over the life of the vehicle.

  10. Protecting Intelligent Distributed Power Grids against Cyber Attacks

    SciTech Connect (OSTI)

    Dong Wei; Yan Lu; Mohsen Jafari; Paul Skare; Kenneth Rohde

    2010-12-31

    Like other industrial sectors, the electrical power industry is facing challenges involved with the increasing demand for interconnected operations and control. The electrical industry has largely been restructured due to deregulation of the electrical market and the trend of the Smart Grid. This moves new automation systems from being proprietary and closed to the current state of Information Technology (IT) being highly interconnected and open. However, while gaining all of the scale and performance benefits of IT, existing IT security challenges are acquired as well. The power grid automation network has inherent security risks due to the fact that the systems and applications for the power grid were not originally designed for the general IT environment. In this paper, we propose a conceptual layered framework for protecting power grid automation systems against cyber attacks. The following factors are taken into account: (1) integration with existing, legacy systems in a non-intrusive fashion; (2) desirable performance in terms of modularity, scalability, extendibility, and manageability; (3) alignment to the 'Roadmap to Secure Control Systems in the Energy Sector' and the future smart grid. The on-site system test of the developed prototype security system is briefly presented as well.

  11. Intelligent Controls for Net-Zero Energy Buildings

    SciTech Connect (OSTI)

    Li, Haorong; Cho, Yong; Peng, Dongming

    2011-10-30

    The goal of this project is to develop and demonstrate enabling technologies that can empower homeowners to convert their homes into net-zero energy buildings in a cost-effective manner. The project objectives and expected outcomes are as follows: • To develop rapid and scalable building information collection and modeling technologies that can obtain and process “as-built” building information in an automated or semiautomated manner. • To identify low-cost measurements and develop low-cost virtual sensors that can monitor building operations in a plug-n-play and low-cost manner. • To integrate and demonstrate low-cost building information modeling (BIM) technologies. • To develop decision support tools which can empower building owners to perform energy auditing and retrofit analysis. • To develop and demonstrate low-cost automated diagnostics and optimal control technologies which can improve building energy efficiency in a continual manner.

  12. A resonant electromagnetic vibration energy harvester for intelligent...

    Office of Scientific and Technical Information (OSTI)

    OSTI Identifier: 22409959 Resource Type: Journal Article Resource Relation: Journal Name: Journal of Applied Physics; Journal Volume: 117; Journal Issue: 17; Other Information: (c) ...

  13. Components of Swarm Intelligence (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    the fundamental advantages of swarm behavior as well as the limitations of this approach. ... can be imposed in order to permit human control at a level of group abstraction ...

  14. GIZ Sourcebook Module 4e: Intelligent Transport Systems | Open...

    Open Energy Info (EERE)

    from the LEDS Global Partnership. When to Use This Tool While building a low emission strategy for your country's transportation system, this tool is most useful during these...

  15. Components of Swarm Intelligence (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Using a team of 12 small robots with the ability to respond to light and sound, the INEEL ... that show how group performance scales as different numbers of robots are utilized. ...

  16. Fact Sheet: Protecting Intelligent Distributed Power Grids Against...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, effciency, and reliability. ...

  17. Intelligent system for automatic feature detection and selection or identification

    DOE Patents [OSTI]

    Sun, Chuen-Tsai; Jang, Jyh-Shing; Fu, Chi-Yung

    1997-01-01

    A neural network uses a fuzzy membership function, the parameters of which are adaptive during the training process, to parameterize the interconnection weights between an (n-1)'th layer and an n'th layer of the network. Each j'th node in each k'th layer of the network except the input layer produces its output value y.sub.k,j according to the function ##EQU1## where N.sub.k-1 is the number of nodes in layer k-1, i indexes the nodes of layer k-1 and all the w.sub.k,i,j are interconnection weights. The interconnection weights to all nodes j in the n'th layer are given by w.sub.n,i,j =w.sub.n,j (i, p.sub.n,j,1, . . . , p.sub.n,j,p.sbsb.n). The apparatus is trained by setting values for at least one of the parameters p.sub.n,j,1, . . . , p.sub.n,j,Pn. Preferably the number of parameters P.sub.n is less than the number of nodes N.sub.n-1 in layer n-1. w.sub.n,j (i,p.sub.n,j,1, . . . , p.sub.n,j,Pn) can be convex in i, and it can be bell-shaped. Sample functions for w.sub.n,j (i, p.sub.n,j,1, . . . , p.sub.n,j,Pn) include ##EQU2##

  18. Intelligent system for automatic feature detection and selection or identification

    DOE Patents [OSTI]

    Sun, C.T.; Shiang, P.S.; Jang, J.S.; Fu, C.Y.

    1997-09-02

    A neural network uses a fuzzy membership function, the parameters of which are adaptive during the training process, to parameterize the interconnection weights between an (n{minus}1)`th layer and an n`th layer of the network. Each j`th node in each k`th layer of the network except the input layer produces its output value y{sub k,j} according to the function shown in Equation 1 where N{sub k{minus}1} is the number of nodes in layer k{minus}1, i indexes the nodes of layer k{minus}1 and all the w{sub k,i,j} are interconnection weights. The interconnection weights to all nodes j in the n`th layer are given by w{sub n,i,j}=w{sub n,j} (i, p{sub n,j,1}, . . . , p{sub n,j},p{sub n}). The apparatus is trained by setting values for at least one of the parameters p{sub n,j,1}, . . . , p{sub n,j},Pn. Preferably the number of parameters P{sub n} is less than the number of nodes N{sub n{minus}1} in layer n{minus}1. W{sub n,j} (i,p{sub n,j,1}, . . . , p{sub n,j},Pn) can be convex in i, and it can be bell-shaped. Sample functions for w{sub n,j} (i, p{sub n,j,1}, . . . , p{sub n,j},Pn) include Equation 2, shown in the patent. 8 figs.

  19. Content Analysis for Proactive Intelligence: Marshaling Frame Evidence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.; Cowell, Andrew J.; Tratz, Stephen C.; Boek, Annie M.; Cowell, Amanda K.; Posse, Christian; Pouchard, Line C.

    2007-07-22

    Modeling and simulation have great potential as technologies capable of aiding analysts in making accurate predictions of future situations to help provide competitive advantage and avoid strategic surprise. However, to make modeling and simulation effective, an evidence marshaling process is needed that addresses the information needs of the modeling task, as detailed by subject matter experts. We suggest that such an evidence marshaling process can be obtained by combining natural language processing and content analysis techniques to provide quantified qualitative content assessments, and describe a case study with specific reference to the acquisition and marshaling of frames from unstructured text.

  20. Content Analysis for Proactive Intelligence: Marshaling Frame Evidence.

    SciTech Connect (OSTI)

    Sanfilippo, Antonio; Cowell, Andrew; Pouchard, Line Catherine

    2007-07-01

    Modeling and simulation have great potential as technologies capable of aiding analysts in making accurate predictions of future situations to help provide competitive advantage and avoid strategic surprise. However, to make modeling and simulation effective, an evidence-marshaling process is needed that addresses the information needs of the modeling task, as detailed by subject matter experts. We suggest that such an evidence-marshaling process can be obtained by combining natural language processing and content analysis techniques to provide quantified qualitative content assessments, and describe a case study on the acquisition and marshaling of frames from unstructured text.

  1. Generation of Simulated Wind Data using an Intelligent Algorithm...

    Office of Scientific and Technical Information (OSTI)

    Resource Relation: Conference: Proceedings of the 2014 North American Power Symposium (NAPS), 7-9 September 2014, Pullman, Washington Publisher: Piscataway, NJ: Institute of ...

  2. VOLTTRON - An Intelligent Agent Platform for the Smart Grid

    SciTech Connect (OSTI)

    2013-10-23

    The distributed nature of the Smart Grid, such as responsive loads, solar and wind generation, and automation in the distribution system present a complex environment not easily controlled in a centralized manner.

  3. Save (More) Energy Now with Intelligent Industrial Buildings

    Broader source: Energy.gov [DOE]

    This tip sheet outlines a variety of tools to reduce energy use in industrial facilities and improve plant-wide performance.

  4. Field experiments on an intelligent towed vehicle ``Flying Fish``

    SciTech Connect (OSTI)

    Koterayama, W.; Yamaguchi, S.; Nakamura, M.

    1995-12-31

    A depth, pitch and roll controllable towed vehicle, ``Flying Fish`` is being developed to measure the ocean current, temperature, salinity, dissolved oxygen, pH, turbidity, chlorophyll and total inorganic hydrocarbon. The first field experiments on its performance were carried out in the Japan sea last summer. The motion data of the ``Flying Fish`` are compared with those of numerical simulations.

  5. How Will Everything Be Intelligent? | GE Global Research

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    We Solve Climate Change How We Solve Climate Change December 5, 2015 - 3:00am Addthis How We Solve Climate Change Dr. Ernest Moniz Dr. Ernest Moniz Secretary of Energy World leaders are gathering in Paris this week for the 21st United Nations climate conference, known as COP21. Our mission: Secure an ambitious global agreement to reduce carbon dioxide emissions and minimize climate change. As negotiators hammer out the details of an agreement, I will be meeting with energy ministers, mayors,

  6. Intelligent Unmanned Vehicle Systems Suitable For Individual or Cooperative Missions

    SciTech Connect (OSTI)

    Matthew O. Anderson; Mark D. McKay; Derek C. Wadsworth

    2007-04-01

    The Department of Energy’s Idaho National Laboratory (INL) has been researching autonomous unmanned vehicle systems for the past several years. Areas of research have included unmanned ground and aerial vehicles used for hazardous and remote operations as well as teamed together for advanced payloads and mission execution. Areas of application include aerial particulate sampling, cooperative remote radiological sampling, and persistent surveillance including real-time mosaic and geo-referenced imagery in addition to high resolution still imagery. Both fixed-wing and rotary airframes are used possessing capabilities spanning remote control to fully autonomous operation. Patented INL-developed auto steering technology is taken advantage of to provide autonomous parallel path swathing with either manned or unmanned ground vehicles. Aerial look-ahead imagery is utilized to provide a common operating picture for the ground and air vehicle during cooperative missions. This paper will discuss the various robotic vehicles, including sensor integration, used to achieve these missions and anticipated cost and labor savings.

  7. Intelligence Research Specialist, Executive Briefer, GS-132-14

    Broader source: Energy.gov [DOE]

    Job Announcement Number: 16-0004 Who may apply: Current IN Federal Employees at the GS14 grade level Duty Location: 1 vacancy – Washington, DC Metro Area Open Period: May 17, 2016 - May 24, 2016

  8. Supervisory, Intelligence Operations Specialist, GS-132-15

    Broader source: Energy.gov [DOE]

    Job Announcement Number: 16-0005 Who may apply: Current IN Federal Employees Only Duty Location: 1 vacancy – Washington, DC Metro Area Open Period: May 9, 2016 - May 16, 2016

  9. 2010 Annual Planning Summary for Intelligence and Counterintelligence (IN)

    Broader source: Energy.gov [DOE]

    Annual Planning Summaries briefly describe the status of ongoing NEPA compliance activities, any EAs expected to be prepared in the next 12 months, any EISs expected to be prepared in the next 24...

  10. Autonomic Intelligent Cyber Sensor to Support Industrial Control Network Awareness

    SciTech Connect (OSTI)

    Vollmer, Todd; Manic, Milos; Linda, Ondrej

    2013-06-01

    The proliferation of digital devices in a networked industrial ecosystem, along with an exponential growth in complexity and scope, has resulted in elevated security concerns and management complexity issues. This paper describes a novel architecture utilizing concepts of Autonomic computing and a SOAP based IF-MAP external communication layer to create a network security sensor. This approach simplifies integration of legacy software and supports a secure, scalable, self-managed framework. The contribution of this paper is two-fold: 1) A flexible two level communication layer based on Autonomic computing and Service Oriented Architecture is detailed and 2) Three complementary modules that dynamically reconfigure in response to a changing environment are presented. One module utilizes clustering and fuzzy logic to monitor traffic for abnormal behavior. Another module passively monitors network traffic and deploys deceptive virtual network hosts. These components of the sensor system were implemented in C++ and PERL and utilize a common internal D-Bus communication mechanism. A proof of concept prototype was deployed on a mixed-use test network showing the possible real world applicability. In testing, 45 of the 46 network attached devices were recognized and 10 of the 12 emulated devices were created with specific Operating System and port configurations. Additionally the anomaly detection algorithm achieved a 99.9% recognition rate. All output from the modules were correctly distributed using the common communication structure.

  11. Inverter Cost Analysis and Marketing Intelligence | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    TEP 2004 INTERTRIBAL Council On Utility Policy COUP Tribes Building Sustainable Homeland Economies P.O. Box 25, Rosebud, SD 57570 Pat Spears, President - Lower Brule Reservation, SD Terry Fredericks, Vice President - Ft. Berthold Reservation, ND Bob Gough, Secretary - Rosebud Reservation, SD Sam Allen, Treasurer - Flandreau Santee Reservation, SD Rpwgough@aol.com www.EnergyIndependenceDay.org INTERTRIBAL Council On Utility Policy Intertribal Wind Planning and Policy Project (IWPP) Intertribal

  12. Sandia National Laboratories: Research: Intelligent Systems, Robotics, &

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cybernetics: Contacts High Consequence, Automation, & Robotics Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Contact Robotics For more information, please contact us. * Items are Required First Name * Last Name * Email Address * Phone Company Name

  13. Energy Sector Security Appliances in a System for Intelligent...

    Office of Environmental Management (EM)

    ... (R&D) program, which aims to enhance the reliability and resilience of the nation's energy infrastructure by reducing the risk of energy disruptions due to cyber attacks. ...

  14. VOLTTRON - An Intelligent Agent Platform for the Smart Grid

    ScienceCinema (OSTI)

    None

    2014-06-12

    The distributed nature of the Smart Grid, such as responsive loads, solar and wind generation, and automation in the distribution system present a complex environment not easily controlled in a centralized manner.

  15. Intelligent Vehicle Systems: A 4D/RCS Approach

    SciTech Connect (OSTI)

    Madhavan, Raj

    2007-04-01

    This book presents new research on autonomous mobility capabilities and shows how technological advances can be anticipated in the coming two decades. An in-depth description is presented on the theoretical foundations and engineering approaches that enable these capabilities. Chapter 1 provides a brief introduction to the 4D/RCS reference model architecture and design methodology that has proven successful in guiding the development of autonomous mobility systems. Chapters 2 through 7 provide more detailed descriptions of research that has been conducted and algorithms that have been developed to implement the various aspects of the 4D/RCS reference model architecture and design methodology. Chapters 8 and 9 discuss applications, performance measures, and standards. Chapter 10 provides a history of Army and DARPA research in autonomous ground mobility. Chapter 11 provides a perspective on the potential future developments in autonomous mobility.

  16. Semantic Web Service Framework to Intelligent Distributed Manufacturing

    SciTech Connect (OSTI)

    Kulvatunyou, Boonserm

    2005-12-01

    As markets become unexpectedly turbulent with a shortened product life cycle and a power shift towards buyers, the need for methods to develop products, production facilities, and supporting software rapidly and cost-effectively is becoming urgent. The use of a loosely integrated virtual enterprise based framework holds the potential of surviving changing market needs. However, its success requires reliable and large-scale interoperation among trading partners via a semantic web of trading partners services whose properties, capabilities, and interfaces are encoded in an unambiguous as well as computer-understandable form. This paper demonstrates a promising approach to integration and interoperation between a design house and a manufacturer that may or may not have prior relationship by developing semantic web services for business and engineering transactions. To this end, detailed activity and information flow diagrams are developed, in which the two trading partners exchange messages and documents. The properties and capabilities of the manufacturer sites are defined using DARPA Agent Markup Language (DAML) ontology definition language. The prototype development of semantic webs shows that enterprises can interoperate widely in an unambiguous and autonomous manner. This contributes towards the realization of virtual enterprises at a low cost.

  17. Autonomic Intelligent Cyber Sensor to Support Industrial Control Network Awareness

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Vollmer, Todd; Manic, Milos; Linda, Ondrej

    2013-06-01

    The proliferation of digital devices in a networked industrial ecosystem, along with an exponential growth in complexity and scope, has resulted in elevated security concerns and management complexity issues. This paper describes a novel architecture utilizing concepts of Autonomic computing and a SOAP based IF-MAP external communication layer to create a network security sensor. This approach simplifies integration of legacy software and supports a secure, scalable, self-managed framework. The contribution of this paper is two-fold: 1) A flexible two level communication layer based on Autonomic computing and Service Oriented Architecture is detailed and 2) Three complementary modules that dynamically reconfiguremore » in response to a changing environment are presented. One module utilizes clustering and fuzzy logic to monitor traffic for abnormal behavior. Another module passively monitors network traffic and deploys deceptive virtual network hosts. These components of the sensor system were implemented in C++ and PERL and utilize a common internal D-Bus communication mechanism. A proof of concept prototype was deployed on a mixed-use test network showing the possible real world applicability. In testing, 45 of the 46 network attached devices were recognized and 10 of the 12 emulated devices were created with specific Operating System and port configurations. Additionally the anomaly detection algorithm achieved a 99.9% recognition rate. All output from the modules were correctly distributed using the common communication structure.« less

  18. Save (More) Energy Now with Intelligent Industrial Buildings...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    by 2017. This savings would reduce the peak load on natural gas, electric, and water systems-thus increasing energy security and improving the reliability of manufacturing systems. ...

  19. Intelligent sensor and controller framework for the power grid

    DOE Patents [OSTI]

    Akyol, Bora A.; Haack, Jereme Nathan; Craig, Jr., Philip Allen; Tews, Cody William; Kulkarni, Anand V.; Carpenter, Brandon J.; Maiden, Wendy M.; Ciraci, Selim

    2015-07-28

    Disclosed below are representative embodiments of methods, apparatus, and systems for monitoring and using data in an electric power grid. For example, one disclosed embodiment comprises a sensor for measuring an electrical characteristic of a power line, electrical generator, or electrical device; a network interface; a processor; and one or more computer-readable storage media storing computer-executable instructions. In this embodiment, the computer-executable instructions include instructions for implementing an authorization and authentication module for validating a software agent received at the network interface; instructions for implementing one or more agent execution environments for executing agent code that is included with the software agent and that causes data from the sensor to be collected; and instructions for implementing an agent packaging and instantiation module for storing the collected data in a data container of the software agent and for transmitting the software agent, along with the stored data, to a next destination.

  20. Autonomous intelligent assembly systems LDRD 105746 final report.

    SciTech Connect (OSTI)

    Anderson, Robert J.

    2013-04-01

    This report documents a three-year to develop technology that enables mobile robots to perform autonomous assembly tasks in unstructured outdoor environments. This is a multi-tier problem that requires an integration of a large number of different software technologies including: command and control, estimation and localization, distributed communications, object recognition, pose estimation, real-time scanning, and scene interpretation. Although ultimately unsuccessful in achieving a target brick stacking task autonomously, numerous important component technologies were nevertheless developed. Such technologies include: a patent-pending polygon snake algorithm for robust feature tracking, a color grid algorithm for uniquely identification and calibration, a command and control framework for abstracting robot commands, a scanning capability that utilizes a compact robot portable scanner, and more. This report describes this project and these developed technologies.

  1. Analyzing Vehicle Fuel Saving Opportunities through Intelligent Driver Feedback

    SciTech Connect (OSTI)

    Gonder, J.; Earleywine, M.; Sparks, W.

    2012-06-01

    Driving style changes, e.g., improving driver efficiency and motivating driver behavior changes, could deliver significant petroleum savings. This project examines eliminating stop-and-go driving and unnecessary idling, and also adjusting acceleration rates and cruising speeds to ideal levels to quantify fuel savings. Such extreme adjustments can result in dramatic fuel savings of over 30%, but would in reality only be achievable through automated control of vehicles and traffic flow. In real-world driving, efficient driving behaviors could reduce fuel use by 20% on aggressively driven cycles and by 5-10% on more moderately driven trips. A literature survey was conducted of driver behavior influences, and pertinent factors from on-road experiments with different driving styles were observed. This effort highlighted important driver influences such as surrounding vehicle behavior, anxiety over trying to get somewhere quickly, and the power/torque available from the vehicle. Existing feedback approaches often deliver efficiency information and instruction. Three recommendations for maximizing fuel savings from potential drive cycle improvement are: (1) leveraging applications with enhanced incentives, (2) using an approach that is easy and widely deployable to motivate drivers, and (3) utilizing connected vehicle and automation technologies to achieve large and widespread efficiency improvements.

  2. An intelligent inspection and survey robot. Volume 2

    SciTech Connect (OSTI)

    1995-12-15

    Radioactive materials make up a significant part of the hazardous-material inventory of the Department of Energy. Much of the radioactive material will be inspected or handled by robotic systems that contain electronic circuits that may be damaged by gamma radiation and other particles emitted from radioactive material. This report examines several scenarios, the damage that may be inflicted, and methods that may be used to protect radiation-hardened robot control systems. Commercial sources of components and microcomputers that can withstand high radiation exposure are identified.

  3. An intelligent inspection and survey robot. Volume 1

    SciTech Connect (OSTI)

    1995-12-15

    ARIES {number_sign}1 (Autonomous Robotic Inspection Experimental System), has been developed for the Department of Energy to survey and inspect drums containing low-level radioactive waste stored in warehouses at DOE facilities. The drums are typically stacked four high and arranged in rows with three-foot aisle widths. The robot will navigate through the aisles and perform an inspection operation, typically performed by a human operator, making decisions about the condition of the drums and maintaining a database of pertinent information about each drum. A new version of the Cybermotion series of mobile robots is the base mobile vehicle for ARIES. The new Model K3A consists of an improved and enhanced mobile platform and a new turret that will permit turning around in a three-foot aisle. Advanced sonar and lidar systems were added to improve navigation in the narrow drum aisles. Onboard computer enhancements include a VMEbus computer system running the VxWorks real-time operating system. A graphical offboard supervisory UNIX workstation is used for high-level planning, control, monitoring, and reporting. A camera positioning system (CPS) includes primitive instructions for the robot to use in referencing and positioning the payload. The CPS retracts to a more compact position when traveling in the open warehouse. During inspection, the CPS extends up to deploy inspection packages at different heights on the four-drum stacks of 55-, 85-, and 110-gallon drums. The vision inspection module performs a visual inspection of the waste drums. This system will locate and identify each drum, locate any unique visual features, characterize relevant surface features of interest and update a data-base containing the inspection data.

  4. Intelligent Control in Automation Based on Wireless Traffic Analysis

    SciTech Connect (OSTI)

    Kurt Derr; Milos Manic

    2007-09-01

    Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in control type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neurofuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.

  5. Intelligent Control in Automation Based on Wireless Traffic Analysis

    SciTech Connect (OSTI)

    Kurt Derr; Milos Manic

    2007-08-01

    Wireless technology is a central component of many factory automation infrastructures in both the commercial and government sectors, providing connectivity among various components in industrial realms (distributed sensors, machines, mobile process controllers). However wireless technologies provide more threats to computer security than wired environments. The advantageous features of Bluetooth technology resulted in Bluetooth units shipments climbing to five million per week at the end of 2005 [1, 2]. This is why the real-time interpretation and understanding of Bluetooth traffic behavior is critical in both maintaining the integrity of computer systems and increasing the efficient use of this technology in control type applications. Although neuro-fuzzy approaches have been applied to wireless 802.11 behavior analysis in the past, a significantly different Bluetooth protocol framework has not been extensively explored using this technology. This paper presents a new neurofuzzy traffic analysis algorithm of this still new territory of Bluetooth traffic. Further enhancements of this algorithm are presented along with the comparison against the traditional, numerical approach. Through test examples, interesting Bluetooth traffic behavior characteristics were captured, and the comparative elegance of this computationally inexpensive approach was demonstrated. This analysis can be used to provide directions for future development and use of this prevailing technology in various control type applications, as well as making the use of it more secure.

  6. DOWNHOLE POWER GENERATION AND WIRELESS COMMUNICATIONS FOR INTELLIGENT COMPLETIONS APPLICATIONS

    SciTech Connect (OSTI)

    Paul Tubel

    2003-07-05

    The third quarter of the project was dedicated to creating the detailed design for the manufacturing of the mechanical system for wireless communications and the power generation module. Another emphasis for the quarter was the development of the surface system and acoustic detector for the downhole tool for 2 way communications. The tasks accomplished during this report period were: (1) All detailed drawings for manufacturing of the wireless communications gauge and power generator were completed and the drawings were forward to a machine shop for manufacturing. (2) The power generator was incorporated to the mandrel of the wireless gauge reducing the length of the tool by 25% and manufacturing cost by about 35%. (3) The new piezoelectric acoustic generator was manufactured successfully and it was delivered during this quarter. The assembly provides a new technique to manufacture large diameter piezoelectric based acoustic generators. (4) The acoustic two-way communications development progressed significantly. The real time firmware for the surface system was developed and the processor was able to detect and process the data frame transmitted from downhole. The analog section of the tool was also developed and it is being tested for filtering capabilities and signal detection and amplification. (5) The new transformer to drive the piezoelectric wafer assembly was designed and manufactured. The transformer has been received and it will go through testing and evaluation during the next quarter.

  7. Reduction of Emission Variance by Intelligent Air Path Control

    Broader source: Energy.gov [DOE]

    This poster describes an air path control concept, which minimizes NOx and PM emission variance while having the ability to run reliably with many different sensor configurations.

  8. Sandia National Laboratories: Research: High Consequence, Automation, &

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Robotics: Swarm Control Technology Swarm Control Technology Swarm A Swarm of Robots Swarm behavior in artificial intelligence is explained as a group of robots working together as a team, much like a swarm of bees or ants. Swarm behavior occurs in nature and we try to mimic this behavior in robotic machines. Robotic Vehicle Squads Cooperating squads of robotic vehicles could be used for fighting forest fires, cleaning up oil spills, delivering and distributing supplies to remote field

  9. EC Publications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Handbook on Artificial Soils for Indoor Photovoltaic Soiling Tests admin 2016-04-18T20:58:24+00:00 Popular Downloads Solar Energy Grid Integration Systems: Final Report of the Florida Solar Energy Center Team (11368 downloads) Modeling System Losses in PVsyst (9346 downloads) Numerical Manufacturing And Design Tool (NuMAD v2.0) for Wind Turbine Blades: User's Guide (7614 downloads) Solar Energy Grid Integration Systems (SEGIS) Proactive Intelligent Advances for Photovoltaic Systems (6676

  10. EC Publications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    and Characterization of an Artificial Grime for Photovoltaic Soiling Studies admin 2016-04-18T20:58:24+00:00 Popular Downloads Solar Energy Grid Integration Systems: Final Report of the Florida Solar Energy Center Team (11368 downloads) Modeling System Losses in PVsyst (9346 downloads) Numerical Manufacturing And Design Tool (NuMAD v2.0) for Wind Turbine Blades: User's Guide (7615 downloads) Solar Energy Grid Integration Systems (SEGIS) Proactive Intelligent Advances for Photovoltaic Systems

  11. Expert system to control a fusion energy experiment

    SciTech Connect (OSTI)

    Johnson, R.R.; Canales, T.; Lager, D.

    1986-01-01

    This paper describes a system that automates neutral beam source conditioning. The system achieves this with artificial intelligence techniques by encoding the behavior of several experts as a set of if-then rules in an expert system. One of the functions of the expert system is to control an adaptive controller that, in turn, controls the neutral beam source. The architecture of the system is presented followed by a description of its performance.

  12. Watson Workshop

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Home » Events » HPC Workshops » Watson Workshop Watson Workshop January 21, 2016 The Data and Analytics Services group is coordinating an IBM Watson Workshop at LBL and NERSC on Thursday, January 21. Watson is an artificial intelligence system combining advanced natural language processing, machine learning, and information retrieval technologies. The workshop provides attendees with an overview of Watson and an opportunity to explore potential partnerships with the Watson team. The overview

  13. Knowledge engineering tool for training power-substation operators

    SciTech Connect (OSTI)

    Lambert-Torres, G. |; Costa, C.I.A.; Alves da Silva, A.P.; Ribeiro, G.M.; Quintana, V.H.

    1997-04-01

    Artificial intelligence techniques have been applied to create systems that can give answers for different situations and assistance during the substation switching operation. These techniques have also been used for training purposes. This paper presents a computational package for training power substation operators in the control and corrective actions using expert system techniques. Illustrative examples are presented using a 138-kV CEMIG substation.

  14. Categorical Exclusion Determinations: Advanced Technology Vehicles...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Reequipping and Engineering CX(s) Applied: B1.31, B5.1 Date: 09062011 ... Aptera All-Electric and Hybrid Electric Vehicles CX(s) Applied: B1.31, B5.1 Date: 0620...

  15. Categorical Exclusion Determinations: Western Area PowerAdministratio...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Reconstruction of the V.T. Hanlon Substation CX(s) Applied: B4.11 Date: 03232015 ... Reconstruction of the V.T. Hanlon Substation CX(s) Applied: B4.11 Date: 03232015 ...

  16. Novelty Detection in and Between Different Modalities

    SciTech Connect (OSTI)

    Veflingstad, Henning; Yildirim, Sule

    2008-01-21

    Our general aim is to reflect the advances in artificial intelligence and cognitive science fields to space exploration studies such that next generation space rovers can benefit from these advances. We believe next generation space rovers can benefit from the studies related to employing conceptual representations in generating structured thought. This way, rovers need not be equipped with all necessary steps of an action plan to execute in space exploration but they can autonomously form representations of their world and reason on them to make intelligent decision. As part of this approach, autonomous novelty detection is an important feature of next generation space rovers. This feature allows a rover to make further decisions about exploring a rock sample more closely or not and on its own. This way, a rover will use less of its time for communication between the earth and itself and more of its time for achieving its assigned tasks in space. In this paper, we propose an artificial neural network based novelty detection mechanism that next generation space rovers can employ as part of their intelligence. We also present an implementation of such a mechanism and present its reliability in detecting novelty.

  17. Two implementations of shared virtual space environments.

    SciTech Connect (OSTI)

    Disz, T. L.

    1998-01-13

    While many issues in the area of virtual reality (VR) research have been addressed in recent years, the constant leaps forward in technology continue to push the field forward. VR research no longer is focused only on computer graphics, but instead has become even more interdisciplinary, combining the fields of networking, distributed computing, and even artificial intelligence. In this article we discuss some of the issues associated with distributed, collaborative virtual reality, as well as lessons learned during the development of two distributed virtual reality applications.

  18. Object-oriented concurrent programming

    SciTech Connect (OSTI)

    Yonezawa, A.; Tokoro, M.

    1986-01-01

    This book deals with a major theme of the Japanese Fifth Generation Project, which emphasizes logic programming, parallelism, and distributed systems. It presents a collection of tutorials and research papers on a new programming and design methodology in which the system to be constructed is modeled as a collection of abstract entities called ''objects'' and concurrent messages passing among objects. The book includes proposals for programming languages that support this methodology, as well as the applications of object-oriented concurrent programming to such areas as artificial intelligence, software engineering, music synthesis, office information systems, and system programming.

  19. Effects of local information on group behavior

    SciTech Connect (OSTI)

    Roychowdhury, S.; Arora, N.; Sen, S.

    1996-12-31

    Researchers in the field of Distributed Artificial Intelligence have studied the effects of local decision-making on overall system performance in both cooperative and self-interested agent groups. The performance of individual agents depends critically on the quality of information available to it about local and global goals and resources. Whereas in general it is assumed that the more accurate and up-to-date the available information, the better is the expected performance of the individual and the group, this conclusion can be challenged in a number of scenarios.

  20. Semantic Pattern Analysis for Verbal Fluency Based Assessment of Neurological Disorders

    SciTech Connect (OSTI)

    Sukumar, Sreenivas R; Ainsworth, Keela C; Brown, Tyler C

    2014-01-01

    In this paper, we present preliminary results of semantic pattern analysis of verbal fluency tests used for assessing cognitive psychological and neuropsychological disorders. We posit that recent advances in semantic reasoning and artificial intelligence can be combined to create a standardized computer-aided diagnosis tool to automatically evaluate and interpret verbal fluency tests. Towards that goal, we derive novel semantic similarity (phonetic, phonemic and conceptual) metrics and present the predictive capability of these metrics on a de-identified dataset of participants with and without neurological disorders.

  1. Automated Core Design

    SciTech Connect (OSTI)

    Kobayashi, Yoko; Aiyoshi, Eitaro

    2005-07-15

    Multistate searching methods are a subfield of distributed artificial intelligence that aims to provide both principles for construction of complex systems involving multiple states and mechanisms for coordination of independent agents' actions. This paper proposes a multistate searching algorithm with reinforcement learning for the automatic core design of a boiling water reactor. The characteristics of this algorithm are that the coupling structure and the coupling operation suitable for the assigned problem are assumed and an optimal solution is obtained by mutual interference in multistate transitions using multiagents. Calculations in an actual plant confirmed that the proposed algorithm increased the convergence ability of the optimization process.

  2. Expert system for surveillance and diagnosis of breach fuel elements

    DOE Patents [OSTI]

    Gross, K.C.

    1988-01-21

    An apparatus and method are disclosed for surveillance and diagnosis of breached fuel elements in a nuclear reactor. A delayed neutron monitoring system provides output signals indicating the delayed neutron activity and age and the equivalent recoil area of a breached fuel element. Sensors are used to provide outputs indicating the status of each component of the delayed neutron monitoring system. Detectors also generate output signals indicating the reactor power level and the primary coolant flow rate of the reactor. The outputs from the detectors and sensors are interfaced with an artificial intelligence-based knowledge system which implements predetermined logic and generates output signals indicating the operability of the reactor. 2 figs.

  3. Expert system for surveillance and diagnosis of breach fuel elements

    DOE Patents [OSTI]

    Gross, Kenny C.

    1989-01-01

    An apparatus and method are disclosed for surveillance and diagnosis of breached fuel elements in a nuclear reactor. A delayed neutron monitoring system provides output signals indicating the delayed neutron activity and age and the equivalent recoil areas of a breached fuel element. Sensors are used to provide outputs indicating the status of each component of the delayed neutron monitoring system. Detectors also generate output signals indicating the reactor power level and the primary coolant flow rate of the reactor. The outputs from the detectors and sensors are interfaced with an artificial intelligence-based knowledge system which implements predetermined logic and generates output signals indicating the operability of the reactor.

  4. COLLOQUIUM: Introduction to Quantum Algorithms | Princeton Plasma Physics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Lab December 9, 2015, 4:15pm to 5:30pm MBG AUDITORIUM COLLOQUIUM: Introduction to Quantum Algorithms Dr. Nadya Shirokova University of Santa Clara Quantum computers are not an abstraction anymore - Google, NASA and USRA recently announced formation of the Quantum Artificial Intelligence Lab equipped with 1,000-qubit quantum computer. In this talk we will focus on quantum algorithms such as Deutsch, Shor's and Grover's and will discuss why they are faster than the classical ones. We will also

  5. Simulators IV

    SciTech Connect (OSTI)

    Fairchild, B.T.

    1987-01-01

    These proceedings contain papers on simulators with artificial intelligence, and the human decision making process; visuals for simulators: human factors, training, and psycho-physical impacts; the role of institutional structure on simulation projects; maintenance trainers for economic value and safety; biomedical simulators for understanding nature, for medical benefits, and the physiological effects of simulators; the mathematical models and numerical techniques that drive today's simulators; and the demography of simulators, with census papers identifying the population of real-time simulator training devices; nuclear reactors.

  6. Ground state study of the thin ferromagnetic nano-islands for artificial spin ice arrays

    SciTech Connect (OSTI)

    Vieira Jnior, D. S.; Leonel, S. A. Dias, R. A. Toscano, D. Coura, P. Z. Sato, F.

    2014-09-07

    In this work, we used numerical simulations to study the magnetic ground state of the thin elongated (elliptical) ferromagnetic nano-islands made of Permalloy. In these systems, the effects of demagnetization of dipolar source generate a strong magnetic anisotropy due to particle shape, defining two fundamental magnetic ground state configurationsvortex or type C. To describe the system, we considered a model Hamiltonian in which the magnetic moments interact through exchange and dipolar potentials. We studied the competition between the vortex states and aligned statestype Cas a function of the shape of each elliptical nano-islands and constructed a phase diagram vortextype C state. Our results show that it is possible to obtain the elongated nano-islands in the C-state with aspect ratios less than 2, which is interesting from the technological point of view because it will be possible to use smaller islands in spin ice arrays. Generally, the experimental spin ice arrangements are made with quite elongated particles with aspect ratio approximately 3 to ensure the C-state.

  7. A New Improved Na-K Geothermometer By Artificial Neural Networks...

    Open Energy Info (EERE)

    567-577), Truesdell (1975; Proc. 2nd UN Symposium), Tonani (1980; Proc. Adv. Eur. Geoth. Research, 2nd Symposium), Fournier (1979a; J. Volcanol. Geotherm. Res. 5, 1-16), Nieva and...

  8. New Artificial Cells Mimic Nature's Tiny Reactors | U.S. DOE...

    Office of Science (SC) Website

    processes, such as how plant cells turn sunlight, water, and carbon dioxide into fuel. ... vesicles (small pools of fatty molecules) self-assemble around treated water droplets. ...

  9. Competing pairing states for ultracold fermions in optical lattices with an artificial staggered magnetic field

    SciTech Connect (OSTI)

    Lim, Lih-King; Lazarides, Achilleas; Morais Smith, C.; Hemmerich, Andreas

    2010-07-15

    We study fermionic superfluidity in an ultracold Bose-Fermi mixture loaded into a square optical lattice subjected to a staggered flux. While the bosons form a Bose-Einstein condensate at very low temperature and weak interaction, the interacting fermions experience an additional long-ranged attractive interaction mediated by phonons in the bosonic condensate. This leads us to consider a generalized Hubbard model with on-site and nearest-neighbor attractive interactions, which give rise to two competing pairing channels. We use the Bardeen-Cooper-Schrieffer theory to determine the regimes where distinct fermionic superfluids are stabilized and find that the nonlocal pairing channel favors a superfluid state which breaks both the gauge and the lattice symmetries, similar to unconventional superconductivity occurring in some strongly correlated systems. Furthermore, the particular structure of the single-particle spectrum leads to unexpected consequences, for example, a dome-shaped superfluid region in the temperature versus filing fraction phase diagram, with a normal phase that contains much richer physics than a Fermi liquid. Notably, the relevant temperature regime and coupling strength are readily accessible in state of the art experiments with ultracold trapped atoms.

  10. Artificial Moth Eyes Enhance Silicon Solar Cells | U.S. DOE Office...

    Office of Science (SC) Website

    A novel approach to design and assembly of nanotextured surfaces on photovoltaic devices ... for the manufacture of large-area photovoltaic devices, with great potential for ...

  11. Artificial lift with coiled tubing for flow testing the Monterey formation, offshore California

    SciTech Connect (OSTI)

    Peavy, M.A.; Fahel, R.A. )

    1991-05-01

    This paper provides a technical comparison of jet-pump and nitrogen lift during the drillstem tests (DST's) of a low-gravity, high-viscosity crude on a semisubmersible drilling vessel. Eight DST testing sequences are presented to demonstrate that jet-pump-lift operations are better suited than nitrogen-lift techniques for obtaining reservoir data during Monterey DST's.

  12. An artificial neutral network fault-diagnostic adviser for a nuclear power plant with error prediction

    SciTech Connect (OSTI)

    Kim, Keehoon

    1992-12-31

    This thesis is part of an ongoing project at Iowa State University to develop ANN bases fault diagnostic systems to detect and classify operational transients at nuclear power plants.

  13. An artificial neutral network fault-diagnostic adviser for a nuclear power plant with error prediction

    SciTech Connect (OSTI)

    Kim, Keehoon.

    1992-01-01

    This thesis is part of an ongoing project at Iowa State University to develop ANN bases fault diagnostic systems to detect and classify operational transients at nuclear power plants.

  14. An "artificial retina" processor for track reconstruction at the full LHC crossing rate

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Abba, A.; F. Bedeschi; Caponio, F.; Cenci, R.; Citterio, M.; Cusimano, A.; Fu, J.; Geraci, A.; Grizzuti, M.; Lusardi, N.; et al

    2015-10-23

    Here, we present the latest results of an R&D; study for a specialized processor capable of reconstructing, in a silicon pixel detector, high-quality tracks from high-energy collision events at 40 MHz. The processor applies a highly parallel pattern-recognition algorithm inspired to quick detection of edges in mammals visual cortex. After a detailed study of a real-detector application, demonstrating that online reconstruction of offline-quality tracks is feasible at 40 MHz with sub-microsecond latency, we are implementing a prototype using common high-bandwidth FPGA devices.

  15. Denitrifying and diazotrophic community responses to artificial warming in permafrost and tallgrass prairie soils

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Penton, Christopher R.; St. Louis, Derek; Pham, Amanda; Cole, James R.; Wu, Liyou; Luo, Yiqi; Schuur, E. A. G.; Zhou, Jizhong; Tiedje, James M.

    2015-07-21

    Increasing temperatures have been shown to impact soil biogeochemical processes, although the corresponding changes to the underlying microbial functional communities are not well understood. Alterations in the nitrogen (N) cycling functional component are particularly important as N availability can affect microbial decomposition rates of soil organic matter and influence plant productivity. To assess changes in the microbial component responsible for these changes, the composition of the N-fixing (nifH), and denitrifying (nirS, nirK, nosZ) soil microbial communities was assessed by targeted pyrosequencing of functional genes involved in N cycling in two major biomes where the experimental effect of climate warming ismore » under investigation, a tallgrass prairie in Oklahoma (OK) and the active layer above permafrost in Alaska (AK). Raw reads were processed for quality, translated with frameshift correction, and a total of 313,842 amino acid sequences were clustered and linked to a nearest neighbor using reference datasets. The number of OTUs recovered ranged from 231 (NifH) to 862 (NirK). The N functional microbial communities of the prairie, which had experienced a decade of experimental warming were the most affected with changes in the richness and/or overall structure of NifH, NirS, NirK and NosZ. In contrast, the AK permafrost communities, which had experienced only 1 year of warming, showed decreased richness and a structural change only with the nirK-harboring bacterial community. A highly divergent nirK-harboring bacterial community was identified in the permafrost soils, suggesting much novelty, while other N functional communities exhibited similar relatedness to the reference databases, regardless of site. Lastly, prairie and permafrost soils also harbored highly divergent communities due mostly to differing major populations.« less

  16. Denitrifying and diazotrophic community responses to artificial warming in permafrost and tallgrass prairie soils

    SciTech Connect (OSTI)

    Penton, Christopher R.; St. Louis, Derek; Pham, Amanda; Cole, James R.; Wu, Liyou; Luo, Yiqi; Schuur, E. A. G.; Zhou, Jizhong; Tiedje, James M.

    2015-07-21

    Increasing temperatures have been shown to impact soil biogeochemical processes, although the corresponding changes to the underlying microbial functional communities are not well understood. Alterations in the nitrogen (N) cycling functional component are particularly important as N availability can affect microbial decomposition rates of soil organic matter and influence plant productivity. To assess changes in the microbial component responsible for these changes, the composition of the N-fixing (nifH), and denitrifying (nirS, nirK, nosZ) soil microbial communities was assessed by targeted pyrosequencing of functional genes involved in N cycling in two major biomes where the experimental effect of climate warming is under investigation, a tallgrass prairie in Oklahoma (OK) and the active layer above permafrost in Alaska (AK). Raw reads were processed for quality, translated with frameshift correction, and a total of 313,842 amino acid sequences were clustered and linked to a nearest neighbor using reference datasets. The number of OTUs recovered ranged from 231 (NifH) to 862 (NirK). The N functional microbial communities of the prairie, which had experienced a decade of experimental warming were the most affected with changes in the richness and/or overall structure of NifH, NirS, NirK and NosZ. In contrast, the AK permafrost communities, which had experienced only 1 year of warming, showed decreased richness and a structural change only with the nirK-harboring bacterial community. A highly divergent nirK-harboring bacterial community was identified in the permafrost soils, suggesting much novelty, while other N functional communities exhibited similar relatedness to the reference databases, regardless of site. Lastly, prairie and permafrost soils also harbored highly divergent communities due mostly to differing major populations.

  17. NSDann2BS, a neutron spectrum unfolding code based on neural networks technology and two bonner spheres

    SciTech Connect (OSTI)

    Ortiz-Rodriguez, J. M.; Reyes Alfaro, A.; Reyes Haro, A.; Solis Sanches, L. O.; Miranda, R. Castaneda; Cervantes Viramontes, J. M.; Vega-Carrillo, H. R.

    2013-07-03

    In this work a neutron spectrum unfolding code, based on artificial intelligence technology is presented. The code called ''Neutron Spectrometry and Dosimetry with Artificial Neural Networks and two Bonner spheres'', (NSDann2BS), was designed in a graphical user interface under the LabVIEW programming environment. The main features of this code are to use an embedded artificial neural network architecture optimized with the ''Robust design of artificial neural networks methodology'' and to use two Bonner spheres as the only piece of information. In order to build the code here presented, once the net topology was optimized and properly trained, knowledge stored at synaptic weights was extracted and using a graphical framework build on the LabVIEW programming environment, the NSDann2BS code was designed. This code is friendly, intuitive and easy to use for the end user. The code is freely available upon request to authors. To demonstrate the use of the neural net embedded in the NSDann2BS code, the rate counts of {sup 252}Cf, {sup 241}AmBe and {sup 239}PuBe neutron sources measured with a Bonner spheres system.

  18. Modeling Social Movement Theory for the Intelligence Community: A Case Study

    SciTech Connect (OSTI)

    Pouchard, Line C.; Paulson, Patrick R.; Hohimer, Ryan E.

    2007-10-09

    We describe the modeling of concepts taken from social and behavioral science theories, specifically Social Movement Theory, with OWL ontologies. One goal of the study was to provide analysts with a way to understand the potential contribution of social movement research to their tasks without interrupting workflow. Another goal was to facilitate knowledge transfer at the point of need between busy analysts and the latest research. Instead of providing mechanisms for obtaining consensus on debated concepts, we used different namespaces for each author and record bibliographic information in another ontology. We also describe a framework for knowledge discovery supported by the ontologies.

  19. Modeling Social Movement Theory for the Intelligence Community: A Case Study.

    SciTech Connect (OSTI)

    Pouchard, Line Catherine; Hohimer, Ryan; Paulson, Patrick

    2007-01-01

    We describe the modeling of concepts taken from social and behavioral science theories, specifically Social Movement Theory, with OWL ontologies. One goal of the study was to provide analysts with a way to understand the potential contribution of social movement research to their tasks without interrupting workflow. Another goal was to facilitate knowledge transfer at the point of need between busy analysts and the latest research. Instead of providing mechanisms for obtaining consensus on debated concepts, we used different namespaces for each author and record bibliographic information in another ontology. We also describe a framework for knowledge discovery supported by the ontologies.

  20. Intelligent Coatings for Location And Detection of Leaks (IntelliCLAD...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    formulation of coating materials Summary: A number of industrially-useful gases can be toxic or hazardous to humans in sufficient concentrations. However, many important gases...

  1. A Semantic Web Service and Simulation Framework to Intelligent Distributed Manufacturing

    SciTech Connect (OSTI)

    Son, Young Jun; Kulvatunyou, Boonserm; Cho, Hyunbo; Feng, Shaw

    2005-11-01

    To cope with today's fluctuating markets, a virtual enterprise (VE) concept can be employed to achieve the cooperation among independently operating enterprises. The success of VE depends on reliable interoperation among trading partners. This paper proposes a framework based on semantic web of manufacturing and simulation services to enable business and engineering collaborations between VE partners, particularly a design house and manufacturing suppliers.

  2. Reality Online: Intelligent Objects, the Democratization of Technology and the "Next Big Thing"

    SciTech Connect (OSTI)

    Ferguson, Glover

    2004-04-07

    In the next five years, advances in technology will create a world in which objects can sense, reason, communicate and act; where for every physical entity or event, there will be a virtual collaborating double. In this world, the time between stimulus and response will approach zero and optimization will become very fine-grained. In this world, the marketplace will reward enterprises who harness the real-time economy and who garner and preserve the trust of their customers and business partners.

  3. Autonomic Intelligent Cyber-Sensor to Support Industrial Control Network Awareness

    SciTech Connect (OSTI)

    Denis T. Vollmer; Milos Manic; O. Linda

    2014-05-01

    The proliferation of digital devices in a networked industrial ecosystem, along with an exponential growth in complexity and scope, has resulted in elevated security concerns and management complexity issues. This paper describes a novel architecture utilizing concepts of autonomic computing and a simple object access protocol (SOAP)-based interface to metadata access points (IF-MAP) external communication layer to create a network security sensor. This approach simplifies integration of legacy software and supports a secure, scalable, and self-managed framework. The contribution of this paper is twofold: 1) A flexible two-level communication layer based on autonomic computing and service oriented architecture is detailed and 2) three complementary modules that dynamically reconfigure in response to a changing environment are presented. One module utilizes clustering and fuzzy logic to monitor traffic for abnormal behavior. Another module passively monitors network traffic and deploys deceptive virtual network hosts. These components of the sensor system were implemented in C++ and PERL and utilize a common internal D-Bus communication mechanism. A proof of concept prototype was deployed on a mixed-use test network showing the possible real-world applicability. In testing, 45 of the 46 network attached devices were recognized and 10 of the 12 emulated devices were created with specific operating system and port configurations. In addition, the anomaly detection algorithm achieved a 99.9% recognition rate. All output from the modules were correctly distributed using the common communication structure.

  4. Lowering Barriers to Intelligent SSL Adoption Through a Combination of a

    Broader source: Energy.gov (indexed) [DOE]

    R&D Strategies for Compressed, Cryo-Compressed and Cryo-Sorbent Hydrogen Storage Technologies Workshops on February 14 and 15, 2011. compressed_hydrogen2011_4_warren.pdf (3.08 MB) More Documents & Publications Low Cost Carbon Fiber Overview Low Cost Carbon Fiber Overview Lower Cost Carbon Fiber Precursors

    East Fork Poplar Creek. Topics include: * The area's safety * Any use limitations for the area * History and cleanup background for this area * How DOE's cleanup program addressed

  5. Public Law 108-458-Dec. 17, 2004; Intelligence Reform and Terrorism...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... Management and Business Continuity Programs (NFPA 1600), with appropriate modifica- tions. ... Drug Control Policy Reauthorization Act of 1998 (as last in effect); and ''(B) any ...

  6. Computational Intelligence Based Data Fusion Algorithm for Dynamic sEMG and Skeletal Muscle Force Modelling

    SciTech Connect (OSTI)

    Chandrasekhar Potluri,; Madhavi Anugolu; Marco P. Schoen; D. Subbaram Naidu

    2013-08-01

    In this work, an array of three surface Electrography (sEMG) sensors are used to acquired muscle extension and contraction signals for 18 healthy test subjects. The skeletal muscle force is estimated using the acquired sEMG signals and a Non-linear Wiener Hammerstein model, relating the two signals in a dynamic fashion. The model is obtained from using System Identification (SI) algorithm. The obtained force models for each sensor are fused using a proposed fuzzy logic concept with the intent to improve the force estimation accuracy and resilience to sensor failure or misalignment. For the fuzzy logic inference system, the sEMG entropy, the relative error, and the correlation of the force signals are considered for defining the membership functions. The proposed fusion algorithm yields an average of 92.49% correlation between the actual force and the overall estimated force output. In addition, the proposed fusionbased approach is implemented on a test platform. Experiments indicate an improvement in finger/hand force estimation.

  7. A historical perspective of remote operations and robotics in nuclear facilities. Robotics and Intelligent Systems Program

    SciTech Connect (OSTI)

    Herndon, J.N.

    1992-12-31

    The field of remote technology is continuing to evolve to support man`s efforts to perform tasks in hostile environments. The technology which we recognize today as remote technology has evolved over the last 45 years to support human operations in hostile environments such as nuclear fission and fusion, space, underwater, hazardous chemical, and hazardous manufacturing. The four major categories of approach to remote technology have been (1) protective clothing and equipment for direct human entry, (2) extended reach tools using distance for safety, (3) telemanipulators with barriers for safety, and (4) teleoperators incorporating mobility with distance and/or barriers for safety. The government and commercial nuclear industry has driven the development of the majority of the actual teleoperator hardware available today. This hardware has been developed largely due to the unsatisfactory performance of the protective-clothing approach in many hostile applications. Manipulation systems which have been developed include crane/impact wrench systems, unilateral power manipulators, mechanical master/slaves, and servomanipulators. Viewing systems have included periscopes, shield windows, and television systems. Experience over the past 45 years indicates that maintenance system flexibility is essential to typical repair tasks because they are usually not repetitive, structured, or planned. Fully remote design (manipulation, task provisions, remote tooling, and facility synergy) is essential to work task efficiency. Work for space applications has been primarily research oriented with relatively few successful space applications, although the shuttle`s remote manipulator system has been quite successful. In the last decade, underwater applications have moved forward significantly, with the offshore oil industry and military applications providing the primary impetus.

  8. Use of COTS in the Multimission Advanced Ground Intelligent Control (MAGIC) program

    SciTech Connect (OSTI)

    Crowley, N.L.

    1997-11-01

    This tutorial will discuss the experiences of the Space System Technologies Division of the USAF Phillips Laboratory (PL/VTS) in developing a COTS-based satellite control system. The system`s primary use is a testbed for new technologies that are intended for future integration into the operational satellite control system. As such, the control system architecture must be extremely open and flexible so we can integrate new components and functions easily and also provide our system to contractors for their component work. The system is based on commercial hardware, is based on Windows NT, and makes the maximum use of COTS components and industry standards.

  9. Intelligent on-line system for cycle chemistry diagnostics in power plants

    SciTech Connect (OSTI)

    Gallanti, M.; Tomada, L. ); Tarli, R. )

    1990-01-01

    Knowledge base techniques have been exploited for building PROP, a diagnostic system devoted to on-line monitoring and diagnosis of cycle water pollution phenomena in thermal power plants. After a presentation of the motivations that led CISE and ENEL to the development of an expert system for cycle chemistry control, the paper outlines the hardware and software architecture of PROP, and the characteristics of the operator interface. Then the PROP performance in the field test phase and during the first period of operation at the Fusina power plant are presented. In this paper, the authors discuss the general problem of expert system life cycle. Finally the verification and validation approach adopted in the PROP project is described.

  10. Intelligent Control via Wireless Sensor Networks for Advanced Coal Combustion Systems

    SciTech Connect (OSTI)

    Aman Behal; Sunil Kumar; Goodarz Ahmadi

    2007-08-05

    Numerical Modeling of Solid Gas Flow, System Identification for purposes of modeling and control, and Wireless Sensor and Actor Network design were pursued as part of this project. Time series input-output data was obtained from NETL's Morgantown CFB facility courtesy of Dr. Lawrence Shadle. It was run through a nonlinear kernel estimator and nonparametric models were obtained for the system. Linear and first-order nonlinear kernels were then utilized to obtain a state-space description of the system. Neural networks were trained that performed better at capturing the plant dynamics. It is possible to use these networks to find a plant model and the inversion of this model can be used to control the system. These models allow one to compare with physics based models whose parameters can then be determined by comparing them against the available data based model. On a parallel track, Dr. Kumar designed an energy-efficient and reliable transport protocol for wireless sensor and actor networks, where the sensors could be different types of wireless sensors used in CFB based coal combustion systems and actors are more powerful wireless nodes to set up a communication network while avoiding the data congestion. Dr. Ahmadi's group studied gas solid flow in a duct. It was seen that particle concentration clearly shows a preferential distribution. The particles strongly interact with the turbulence eddies and are concentrated in narrow bands that are evolving with time. It is believed that observed preferential concentration is due to the fact that these particles are flung out of eddies by centrifugal force.

  11. Before the House Subcommittee on Counterterrorism and Intelligence- Committee on Homeland Security

    Broader source: Energy.gov [DOE]

    Subject: Implications of Refinery Closures for U.S. Homeland Security and Critical Infrastructure Safety By: Howard Gruenspecht, Acting Administrator of the Energy Information Administration

  12. CX-010375: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace Existing Firehouse CX(s) Applied: B1.15 Date: 09/20/2011 Location(s): California Offices(s): Berkeley Site Office

  13. FE Categorical Exclusions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    8, 2011 CX-006459: Categorical Exclusion Determination Analytical Physics - Transmission Electron Microscopy (TEM) CX(s) Applied: B3.6 Date: 08082011 Location(s): Albany, Oregon...

  14. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-009515: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tide Creek Property Funding CX(s) Applied: B1.25 Date: 11/08/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  16. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  17. CX-012606: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Preparing of Environmental Samples for Analysis CX(s) Applied: B3.6Date: 41810 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  18. CX-012581: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Demolition of Outfall Sampling Station CX(s) Applied: B1.23Date: 41844 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  19. CX-012572: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    H-Area Vehicle Barrier Installation CX(s) Applied: B1.15Date: 41862 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  20. CX-012566: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Z-Area Fire Tank Painting CX(s) Applied: B1.3Date: 41865 Location(s): South CarolinaOffices(s): Savannah River Operations Office