National Library of Energy BETA

Sample records for artificial intelligence cxs

  1. 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.

  2. 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.

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

    DOE Patents [OSTI]

    Wroblewski, David (Mentor, OH); Katrompas, Alexander M. (Concord, OH); Parikh, Neel J. (Richmond Heights, OH)

    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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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)

  9. 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

  10. 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

  11. Intelligent Leak Detection System

    SciTech Connect (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 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 in the pressure sensor and uncertainty in the reservoir model.

  12. 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 and noise in the pressure sensor and uncertainty in the reservoir model.« less

  13. 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.

  14. 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 ...

  15. 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.

  16. 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

  17. 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

  18. 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.

  19. 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.

  20. 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.

  1. Intelligent Wind Turbine Program

    Energy Innovation Portal (Marketing Summaries) [EERE]

    2010-07-19

    A 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, with other intellectual property in the disclosure stage....

  2. 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...

  3. 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

  4. 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

  5. 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

  6. 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...

  7. 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.

  8. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J. (Idaho Falls, ID)

    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.

  9. 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

  10. Solar Fuels via Artificial Photosynthesis

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

    Because sunlight is diffuse and intermittent, substantial use of solar energy to meet ... Fuel production via natural or artificial photosynthesis requires three main ...

  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. 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.

  13. Intelligence Research Specialist | Department of Energy

    Energy Savers [EERE]

    Intelligence Research Specialist Intelligence Research Specialist Submitted by admin on Sat, 2016-03-19 00:15 Job Summary Organization Name Department Of Energy Agency SubElement Department of Energy Locations District of Columbia, District of Columbia Announcement Number DOE-MP-IN-16-00042-EX Job Summary A successful candidate in this position will: Assist in the planning, direction, and evaluation of foreign nuclear program intelligence research projects within an assigned intelligence

  14. 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...

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

    Energy Savers [EERE]

    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

  16. 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.

  17. 2011 Annual Planning Summary for Intelligence and Counterintelligence (IN)

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

    | Department of Energy Intelligence and Counterintelligence (IN) 2011 Annual Planning Summary for Intelligence and Counterintelligence (IN) The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within Intelligence and Counterintelligence (IN). PDF icon 2011 Annual Planning Summary for Intelligence and Counterintelligence (IN) More Documents & Publications 2010 Annual Planning Summary for Intelligence and Counterintelligence (IN) 2012

  18. Office of Intelligence and Counterintelligence | Department of Energy

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

    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,

  19. 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,

  20. intelligence | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    intelligence | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog

  1. 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.

  2. Robotic Intelligent System | GE Global Research

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

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

  3. 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.

  4. mhtml:file://H:\CATX\APPROVED-CXS\EERE FOA 1201 - Rankine Cycle

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

    Eaton Corporation STATE: WI PROJECT TITLE : Affordable Rankine Cycle Waste Heat Recovery for Heavy Duty Trucks Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number CID Number DE-FOA-0001201 DE-EE0007286 Based on my review of the information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 451.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: B3.6 Small-scale research and

  5. 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...

  6. 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...

  7. Fact Sheet: Protecting Intelligent Distributed Power Grids Against...

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

    of a novel distributed and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing ...

  8. 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

  9. ACEEE Intelligent Efficiency Conference | Department of Energy

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

    6, 2015 8:00AM EST to December 8, 2015 5:00PM EST Boston, Massachusetts The Westin Boston Waterfront 425 Summer St. Boston, MA 02210 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. Learn more

  10. 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

  11. 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

  12. 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". ...

  13. 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....

  14. 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...

  15. 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.

  16. 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,

  17. Conformationally Constrained Macrocyclic Diporphyrin-Fullerene Artificial

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

    Photosynthetic Reaction Center Conformationally Constrained Macrocyclic Diporphyrin-Fullerene Artificial Photosynthetic Reaction Center Authors: Garg, V., Kodis, G., Chachisvilis, M., Hambourger, M., Moore, A. L., Moore, T. A., and Gust, D. Title: Conformationally Constrained Macrocyclic Diporphyrin-Fullerene Artificial Photosynthetic Reaction Center Source: Journal of the American Chemical Society Year: 2011 Volume: 133 Pages: 2944-2954 ABSTRACT: Photosynthetic reaction centers convert

  18. 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.

  19. 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 You are accessing a document from the Department of...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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

  5. 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.

  6. Intelligent Rail Networks | GE Global Research

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

    Intelligent Rail Networks Enable Smoother Rail Traffic 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) Intelligent Rail Networks Enable Smoother Rail Traffic A delayed train is more than just an inconvenience; it can disrupt the flow of goods and commerce itself. GE Global Research technologists are using advanced data

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

    Office of Environmental Management (EM)

    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

  8. Fully Integrated Nanosystem for Artificial Photosynthesis - Energy

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

    Innovation Portal Advanced Materials Advanced Materials Find More Like This Return to Search Fully Integrated Nanosystem for Artificial Photosynthesis Lawrence Berkeley National Laboratory Contact LBL About This Technology Publications: PDF Document Publication Liu, C., Dasgupta, N. P., Yang, P., "Semiconductor Nanowires for Artificial Photosynthesis," Chemistry of Materials, 2014, 26(1), 415-422, DOI: 10.1021/cm4023198. (1,285 KB) PDF Document Publication Liu, C., Tang, J., Chen,

  9. 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

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

    DOE Patents [OSTI]

    Reifman, Jaques (Western Springs, IL); Feldman, Earl E. (Willowbrook, IL); Wei, Thomas Y. C. (Downers Grove, IL); Glickert, Roger W. (Pittsburgh, PA)

    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.

  11. National Air & Space Intelligence Center Holds Program About Empowering

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

    Women in the Workplace | Department of Energy Dot Harris, Director of the Office of Economic Impact and Diversity, speaks with Aurea Rivera, President and CEO of Imagineering Results Analysis Corp., Kathleen Tucker, Director of the Information Exploitation Squadron, Global Exploitation Intelligence Group, NAISC, and Ann Carbonell, Chief of the National Geospatial Intelligence Agency Support Team in September 2013. Photo by National Air and Space Intelligence Center. Dot Harris, Director of

  12. Save (More) Energy Now with Intelligent Industrial Buildings | Department

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

    of Energy (More) Energy Now with Intelligent Industrial Buildings Save (More) Energy Now with Intelligent Industrial Buildings This tip sheet outlines a variety of tools to reduce energy use in industrial facilities and improve plant-wide performance. PDF icon Save (More) Energy Now with Intelligent Industrial Buildings (June 2009) More Documents & Publications CX-001319: Categorical Exclusion Determination CX-000681: Categorical Exclusion Determination Building America Expert Meeting:

  13. A resonant electromagnetic vibration energy harvester for intelligent

    Office of Scientific and Technical Information (OSTI)

    wireless sensor systems (Journal Article) | SciTech Connect A resonant electromagnetic vibration energy harvester for intelligent wireless sensor systems Citation Details In-Document Search Title: A resonant electromagnetic vibration energy harvester for intelligent wireless sensor systems Vibration energy harvesting is now receiving more interest as a means for powering intelligent wireless sensor systems. In this paper, a resonant electromagnetic vibration energy harvester (VEH) employing

  14. Save (More) Energy Now with Intelligent Industrial Buildings | Department

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

    of Energy Save (More) Energy Now with Intelligent Industrial Buildings Save (More) Energy Now with Intelligent Industrial Buildings This tip sheet outlines a variety of tools to reduce energy use in industrial facilities and improve plant-wide performance. PDF icon Save (More) Energy Now with Intelligent Industrial Buildings (June 2009) More Documents & Publications CX-001319: Categorical Exclusion Determination CX-000681: Categorical Exclusion Determination MotorMaster+ Software Tool

  15. 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,...

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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 Fuel Cycle Defense Waste Management Programs

  2. Artificial neural network cardiopulmonary modeling and diagnosis

    DOE Patents [OSTI]

    Kangas, Lars J. (Richland, WA); Keller, Paul E. (Richland, WA)

    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.

  3. 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.

  4. 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 including the Threat Detection and Analysis System (TDAS) at the International Port of Memphis and the Biological Warning and Incident Characterization System (BWIC) Environmental Monitoring (EM) Component. Technologies developed for these 24/7 operational systems have applications for improved real-time system integrity awareness as well as provide incident response (as needed) for production and field applications.

  5. 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.

  6. 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.

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

    Office of Science (SC) Website

    | 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

  8. 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

  9. DNA-Directed Artificial Light-Harvesting Antenna

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

    DNA-Directed Artificial Light-Harvesting Antenna Authors: Dutta, P. K., Varghese, R., Nangreave, J., Lin, S., Yan, H., and Liu, Y. Title: DNA-Directed Artificial Light-Harvesting Antenna Source: Journal of the American Chemical Society Year: 2011 Volume: 133 Pages: 11985-11993 ABSTRACT: Designing and constructing multichromophoric, artificial light-harvesting antennas with controlled interchromophore distances, orientations, and defined donor?acceptor ratios to facilitate efficient

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

    Office of Scientific and Technical Information (OSTI)

    Title: Light Trapping, Absorption and Solar Energy Harvesting by Artificial Materials We provide designs of thin-film solar cells utilizing optimized photonic-crystal ...

  11. 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...

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

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

    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...

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

    Office of Scientific and Technical Information (OSTI)

    Title: Real and effective thermal equilibrium in artificial square spin ices Authors: Morgan, Jason P. ; Akerman, Johanna ; Stein, Aaron ; Phatak, Charudatta ; Evans, R. M. L. ; ...

  14. 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...

  15. 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...

  16. Generation of Simulated Wind Data using an Intelligent Algorithm

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Conference: Generation of Simulated Wind Data using an Intelligent Algorithm Citation Details In-Document Search Title: Generation of Simulated Wind Data using an Intelligent Algorithm Authors: Weissbach, R. ; Wang, W. L. ; Hodge, B. M. ; Tang, M. H. ; Sonnenmeier, J. Publication Date: 2014-01-01 OSTI Identifier: 1176733 DOE Contract Number: AC36-08GO28308 Resource Type: Conference Resource Relation: Conference: Proceedings of the 2014 North American Power

  17. Inverter Cost Analysis and Marketing Intelligence | Department of Energy

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

    Cost Analysis and Marketing Intelligence Inverter Cost Analysis and Marketing Intelligence 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon ape032_whaling_2011_o.pdf More Documents & Publications Interim Update: Global Automotive Power Electronics R&D Relevant To DOE 2015 and 2020 Cost Targets Permanent Magnet Development for Automotive Traction Motors Low-Cost U.S. Manufacturing of Power Electronics for Electric

  18. 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

  19. Reduction of Emission Variance by Intelligent Air Path Control | Department

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

    of Energy Emission Variance by Intelligent Air Path Control Reduction of Emission Variance by Intelligent Air Path Control 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. PDF icon p-17_nanjundaswamy.pdf More Documents & Publications Further improvement of conventional diesel NOx aftertreatment concepts as pathway for SULEV Future Directions in Engines and

  20. 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.

  1. 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.

  2. 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.

  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. 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 the EFRC Principal Investigators. She is an Associate Professor at the Department of...

  6. 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

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

    Office of Scientific and Technical Information (OSTI)

    Materials (Technical Report) | SciTech Connect Technical Report: Light Trapping, Absorption and Solar Energy Harvesting by Artificial Materials Citation Details In-Document Search Title: Light Trapping, Absorption and Solar Energy Harvesting by Artificial Materials 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. Authors: John, Sajeev [1] + Show Author

  8. 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 artificial hydrogenases Source: Biopolymers Year: 2013 Volume: 100 Pages: 558 - 571 ABSTRACT: Over the last 25 years, de novo design has proven to be a valid approach to generate novel, well-folded proteins, and most recently, functional proteins. In response to societal needs, this approach is been used increasingly

  9. 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

  10. 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

  11. Artificial photosynthesis combines biology with technology for sustainable

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

    energy transformation Artificial photosynthesis combines biology with technology for sustainable energy transformation Authors: Moore, T.A., Moore, A.L., and Gust, D. Title: Artificial photosynthesis combines biology with technology for sustainable energy transformation Source: AIP Conf. Proc. Year: 2013 Volume: 1519 Pages: 68-72 ABSTRACT: Photosynthesis supports the biosphere. Currently, human activity appropriates about one fourth of terrestrial photosynthetic net primary production (NPP)

  12. 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. PDF icon p-04_fujii.pdf 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 Degradation

  13. 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.

  14. 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.

  15. Electroelastic fields in artificially created vortex cores in epitaxial

    Office of Scientific and Technical Information (OSTI)

    BiFeO3 thin films (Journal Article) | SciTech Connect Electroelastic fields in artificially created vortex cores in epitaxial BiFeO3 thin films Citation Details In-Document Search This content will become publicly available on August 4, 2016 Title: Electroelastic fields in artificially created vortex cores in epitaxial BiFeO3 thin films Authors: Winchester, B. [1] ; Balke, N. [2] ; Cheng, X. X. [1] ; Morozovska, A. N. [3] ; Kalinin, S. [2] Search SciTech Connect for author "Kalinin,

  16. Distributed Intelligence Architecture for Real-Time Control, Protection and

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

    Instrumentation Systems | Princeton Plasma Physics Lab Distributed Intelligence Architecture for Real-Time Control, Protection and Instrumentation Systems Architecture of complex, high-speed, Real-Time Instrumentation, Acquisition, Control and Protection systems are typically centralized with a single computer. Data from sensors is acquired, signals processed and actuated upon by a single computer with various Input and Output functionality contained within. As the size of the system grows,

  17. Public Law 108-458-Dec. 17, 2004; Intelligence Reform and Terrorism Prevention Act of 2004

    Energy Savers [EERE]

    8-458-DEC. 17, 2004 INTELLIGENCE REFORM AND TERRORISM PREVENTION ACT OF 2004 VerDate 11-MAY-2000 13:50 Jan 28, 2005 Jkt 039139 PO 00458 Frm 00001 Fmt 6579 Sfmt 6579 E:\PUBLAW\PUBL458.108 APPS06 PsN: PUBL458 118 STAT. 3638 PUBLIC LAW 108-458-DEC. 17, 2004 Public Law 108-458 108th Congress An Act To reform the intelligence community and the intelligence and intelligence-related activities of the United States Government, and for other purposes. Be it enacted by the Senate and House of

  18. 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

  19. 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.

  20. 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

  1. Can Small Go Big? Microfluidics Aid Quest for Artificial Photosynthesis |

    Office of Science (SC) Website

    U.S. DOE Office of Science (SC) Can Small Go Big? Microfluidics Aid Quest 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

  2. 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.

  3. 2016 American Council for an Energy-Efficient Economy (ACEEE) Intelligent

    Office of Environmental Management (EM)

    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

  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. 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-dimensional data arrays, which can difficult to fully use. Establishing relationships among high-dimensional datasets through neurocomputing based patterning methods can help 1) resolve large volumes of data into a meaningful form; 2) provide an approach for inferring landscape processes in areas that have limited data available but that exhibit similar landscape characteristics; and 3) discover the value of individual variables or groups of variables that contribute to specific processes in the landscape.

  6. 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.

  7. 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

  8. 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

  9. 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

  10. 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.

  11. 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.

  12. 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

  13. 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,

  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. 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...

  16. 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.

  17. 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.

  18. DOE Selects Nine Projects to Receive Funding for Carbon Storage Intelligent

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

    Monitoring and Well Integrity and Mitigation Research | Department of Energy Nine Projects to Receive Funding for Carbon Storage Intelligent Monitoring and Well Integrity and Mitigation Research DOE Selects Nine Projects to Receive Funding for Carbon Storage Intelligent Monitoring and Well Integrity and Mitigation Research August 17, 2015 - 10:22am Addthis The U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) has selected nine projects to receive funding to

  19. 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

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. Learning Competitive Intelligence from a Bunch of Screwballs

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-12-01

    Idaho National Laboratory is the Department of Energys (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 customers 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.

  5. 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,

  6. 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

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

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

    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...

  8. 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...

  9. 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.

  10. 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

  11. 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

  12. 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 19912010 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 Wm2 , and a bias of 0.61 Wm2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.

  13. 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 during the deposition of natural calcite-opal deposits.

  14. 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.

  15. 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 during the study period was 1175 kW. Several new tools facilitated this work, such as the Smart Energy Box, the distributed load controller or Energy Information Gateway, the web-­based DR controller (dubbed the Central Load-­Shed Coordinator or CLSC), and the Demand Response Capacity Assessment & Operation Assistance Tool (DRCAOT). In addition, an innovative data aggregator called sMAP (simple Measurement and Actuation Profile) allowed data from different sources collected in a compact form and facilitated detailed analysis of the building systems operation. A smart phone application (RAP or Rapid Audit Protocol) facilitated an inventory of the building’s plug loads. Carbon dioxide sensors located in conference rooms and classrooms allowed demand controlled ventilation. The extensive submetering and nimble access to this data provided great insight into the details of the building operation as well as quick diagnostics and analyses of tests. For example, students discovered a short-­cycling chiller, a stuck damper, and a leaking cooling coil in the first field tests. For our final field tests, we were able to see how each zone was affected by the DR strategies (e.g., the offices on the 7th floor grew very warm quickly) and fine-­tune the strategies accordingly.

  16. 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.

  17. 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.

  18. 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 bis-[4Fe4S] Binding Protein Source: Biochemistry Year: 2013 Volume: 52 Pages: 7586-7594 ABSTRACT: In nature, protein subunits containing multiple iron-sulfur clusters often mediate the delivery of reducing equivalents from metabolic pathways to the active site of redox proteins. The de novo design of redox active

  19. 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.

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

    Energy Savers [EERE]

    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

  1. Energy Sector Security Appliances in a System for Intelligent Learning Network Configuration Management and Monitoring (Essence)

    Office of Environmental Management (EM)

    Sector Security Appliances in a System for Intelligent Learning Network Configuration Management and Monitoring (Essence) Software defined network to assist small electric cooperatives with limited resources for securing utility operational networks Background Utilities of all sizes are faced with the challenge of configuring, managing, monitoring, and securing their information technology and operational technology (IT and OT) networks; but the challenge is more acute for small utilities and

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  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. Spontaneous Pressure Regulation within Artificial Cells | U.S. DOE Office

    Office of Science (SC) Website

    of Science (SC) Spontaneous Pressure Regulation within Artificial Cells 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 » 11.01.15 Spontaneous

  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. 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.

  14. 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 ...

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

    DOE Patents [OSTI]

    Shelnutt, John A. (Albuquerque, NM)

    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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  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 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.

  2. 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 capability was demonstrated for estimating enthalpy in a power plant.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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. • ISA and AHS generate a negative result due to vehicle implementation costs. • AHS is anticipated to save 280 kt of CO{sub 2} equivalency over 15 years.

  10. Browse by Discipline -- E-print Network Subject Pathways: Biology...

    Office of Scientific and Technical Information (OSTI)

    ... for Artificial Intelligence Chinese Ceramic Society Chinese Chemical Society (CCS) Chinese Chemical Society (Taiwan) Chinese Environmental Mutagen Society (CEMS) Chinese ...

  11. Browse Societies by Language -- E-print Network Societies by...

    Office of Scientific and Technical Information (OSTI)

    for Artificial Intelligence -- Chinese Ceramic Society -- Chinese Chemical Society (CCS) -- Chinese Chemical Society (Taiwan) -- Chinese Environmental Mutagen Society (CEMS) -- ...

  12. 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.

  13. 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.

  14. 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).

  15. 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

  16. 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.

  17. 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

  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. 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.

  20. 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.

  1. 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.

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

    DOE Patents [OSTI]

    Jablonski, Paul D. (Madison, WI); Larbalestier, David C. (Madison, WI)

    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.

  3. 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).

  4. 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

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

    SciTech Connect (OSTI)

    George Atanasoff

    2010-10-29

    This project addresses the problem of lower solar conversion efficiency and waste in the typical solar cell manufacturing process. The work from the proposed development will lead toward developing a system which should be able to increase solar panel conversion efficiency by an additional 12-15% resulting in lower cost panels, increased solar technology adoption, reduced carbon emissions and reduced dependency on foreign oil. All solar cell manufacturing processes today suffer from manufacturing inefficiencies that currently lead to lower product quality and lower conversion efficiency, increased product cost and greater material and energy consumption. This results in slower solar energy adoption and extends the time solar cells will reach grid parity with traditional energy sources. The thin film solar panel manufacturers struggle on a daily basis with the problem of thin film thickness non-uniformity and other parameters variances over the deposited substrates, which significantly degrade their manufacturing yield and quality. Optical monitoring of the thin films during the process of the film deposition is widely perceived as a necessary step towards resolving the non-uniformity and non-homogeneity problem. In order to enable the development of an optical control system for solar cell manufacturing, a new type of low cost optical sensor is needed, able to acquire local information about the panel under deposition and measure its local characteristics, including the light scattering in very close proximity to the surface of the film. This information cannot be obtained by monitoring from outside the deposition chamber (as traditional monitoring systems do) due to the significant signal attenuation and loss of its scattering component before the reflected beam reaches the detector. In addition, it would be too costly to install traditional external in-situ monitoring systems to perform any real-time monitoring over large solar panels, since it would require 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 in about $1.5 Billion in savings by 2015 (at the assumed 20% improvement). This can b

  6. 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.

  7. 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.

  8. 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.

  9. 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).

  10. 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.

  11. 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.

  12. 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

  13. 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

  14. 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.

  15. 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

  16. 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.

  17. 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.

  18. 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.

  19. 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 ...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. Search for: All records | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    ... of Environment, Safety and Health (EH) (United States) USDOE ... States) USDOE Office of Intelligence and Counterintelligence ... The results demonstrate that engineering artificial ...

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

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

    in user experience, the resurgence of artificial intelligence, and the challenges of big data. Lund has spent over two decades in the field of human and computer interaction...

  6. 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%.

  7. 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....

  8. Watson Workshop

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

    January 21. Watson is an artificial intelligence system combining advanced natural language processing, machine learning, and information retrieval technologies. The workshop...

  9. 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.

  10. 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 [Weill Cornell Medical College, NY, NY (United States)

    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.

  11. 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.

  12. 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.

  13. 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.

  14. 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...

  15. Demand Dispatch-Intelligent

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

    ... and deep debate on Demand Dispatch led by the National Action Plan (NAP) Coalition ... new policy and regulation to value the price difference between the "point of ...

  16. 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...

  17. Sandia Heuristic Intelligent

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

    ... Yet, comparatively little is known about those specifics. Measurements from the Atmospheric Radiation Measurements (ARM) North Slope facilities provide hard data on clouds, ...

  18. 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.

  19. 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

  20. 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

  1. 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.

  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 estimate the value of newer methods of irradiation.

  3. 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.

  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. 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)

  6. 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...

  7. 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....

  8. 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

  9. 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

  10. 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

  11. Robust and intelligent bearing estimation

    DOE Patents [OSTI]

    Claassen, John P. (Albuquerque, NM)

    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.

  12. 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.

  13. 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...

  14. Nanoscale, multidimensional artificial magnet created

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

    2003 Nisoli began designing dedicated topologies based on a new level of frustration New Journal of Physics 15 (4), 045009, 20013. Indeed frustration is an essential...

  15. CX-007124: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  16. 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.

  17. Browse by Discipline -- E-print Network Subject Pathways: Materials Science

    Office of Scientific and Technical Information (OSTI)

    -- Energy, science, and technology for the research community -- hosted by the Office of Scientific and Technical Information, U.S. Department of Energy K L M N O P Q R S T U V W X Y Z Jaakkola, Tommi S. (Tommi S. Jaakkola) - Computer Science and Artificial Intelligence Laboratory & Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT) Jackson, Daniel (Daniel Jackson) - Computer Science and Artificial Intelligence Laboratory, Massachusetts

  18. 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 southern California to Washington, and occasional, seasonal, or transitory associations of coastal pelagic fishes such as jack mackerel (Trachurus symmetricus) may also occur at WECs in these waters. Importantly, our review indicated that negative effects of WEC structures on special-status fish species, such as increased predation of juvenile salmonids or rockfishes, are not likely. In addition, WECs installed in coastal California, especially in southern California waters, have the potential to attract high densities of reef-associated fishes and may even contribute to rockfish productivity, if fish respond to the WECs similarly to oil and gas platforms, which have some of the highest secondary production per unit area of seafloor of any marine habitat studied globally (Claisse et al. 2014). We encountered some information gaps, owing to the paucity or lack, in key locations, of comparable surrogate structures in which fish assemblages and ecological interactions were studied. TECs are most likely to be used in the Puget Sound area, but suitable surrogates are lacking there. However, in similarly cold-temperate waters of Europe and Maine, benthopelagic fish occurred around tidal turbines during lower tidal velocities, and this type of interaction may be expected by similar species at TECs in Puget Sound. To address information gaps in the near term, such as whether WECs would function as FADs in temperate waters, studies of navigation buoys using hydroacoustics are recommended.

  19. 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, Mara 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 ) and DPPC (?60 ) 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.

  20. 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.

  1. 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.

  2. 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...

  3. 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...

  4. 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, - ...

  5. 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.

  6. 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...

  7. Sandia National Laboratories: Research: Intelligent Systems,...

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

    High Consequence, Automation, & Robotics Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation...

  8. Sandia National Laboratories: Research: Intelligent Systems,...

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

    & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Facilities Publications and Factsheets...

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

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

    & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools 3-D World Model Building Visual Targeting Explosive...

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

    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, 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. The Intelligent Systems, Robotics, and Cybernetics group

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

    embedded control system design, software development, and our Brain- Emulating Cognition Control Architecture (BECCA). Enhanced perception capabilities that include 3D...

  13. 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.

  14. "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...

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

    Office of Science (SC) Website

    The chlorosome, the extremely efficient light harvesting antenna in green photosynthetic bacteria, captures energy from sunlight and funnels it to reaction centers to create fuel ...

  16. 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).

  17. 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

  18. 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

  19. CX-007123: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    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

  20. Prasanna Balaprakash | Argonne Leadership Computing Facility

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

    Prasanna Balaprakash Assistant Computer Scientist Prasanna Balaprakash Argonne National Laboratory 9700 South Cass Avenue Building 240 - Rm. 1135 Argonne, IL 60439 630-252-1109 pbalapra@mcs.anl.gov Specialities: Optimization under uncertainty; Artificial intelligence algorithms for large-scale optimization; Automated algorithm tuning; Modeling and prediction/statistical machine learning; Monte Carlo simulation; and Statistical analysis.

  1. 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.

  2. Intelligent system for automatic feature detection and selection or identification

    DOE Patents [OSTI]

    Sun, Chuen-Tsai (Pao-Shan Shiang, TW); Jang, Jyh-Shing (Framingham, MA); Fu, Chi-Yung (San Francisco, CA)

    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##

  3. 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.

  4. 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...

  5. 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.

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

    Broader source: Energy.gov [DOE]

    2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

  7. 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

  8. 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.

  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. 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.

  11. 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.

  12. 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...

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

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

    all over the digital space, from Facebook and Twitter to one of my favorite reads, the RFID Journal. This is the first time I have experienced anything like this in my career at...

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. A resonant electromagnetic vibration energy harvester for intelligent...

    Office of Scientific and Technical Information (OSTI)

    double cantilever to convert low-frequency vibration energy into electrical energy is presented. The VEH is made up of two cantilever beams, a coil, and magnetic circuits. ...

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. Generation of Simulated Wind Data using an Intelligent Algorithm...

    Office of Scientific and Technical Information (OSTI)

    Publisher: Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE) Research Org: National Renewable Energy Laboratory (NREL), Golden, CO. Sponsoring Org: ...

  4. 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.

  5. 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 Energys 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.

  6. 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.

  7. How Will Everything Be Intelligent? | GE Global Research

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

    In this episode of Invention Factory - a partnership between Vice and General Electric - we examine how the world works when we give machines a brain - enhancing them with the ...

  8. 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...

  9. 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...

  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. Sandia Energy - Brief History of Artificial Lighting Technology

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

    light. These difference, in turn, have consequences in each technology's fundamental efficiency. Fire: Chemically fueled blackbody emission The first lighting technology is fire....

  13. 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.

  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. 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...

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

    Office of Scientific and Technical Information (OSTI)

    vortex cores in epitaxial BiFeO3 thin films Authors: Winchester, B. 1 ; Balke, ... Author Affiliations Department of Materials Science and Engineering, The Pennsylvania ...

  17. 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 ...

  18. 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...

  19. 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...

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

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

    contact Tona Kunz at media@anl.gov or (630) 252-5560. Connect Find an Argonne expert by subject. Follow Argonne on Twitter, Facebook, Google+ and LinkedIn. For inquiries on...

  1. Stacking Semiconductors for Artificial Photosynthesis | U.S....

    Office of Science (SC) Website

    Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community ...

  2. 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

  3. Harry E Mynick | Princeton Plasma Physics Lab

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

    Harry E Mynick Principal Research Physicist, Plasma Physics Laboratory. Dr. Mynick is a Principal Research Physicist in the Theory Department at the Princeton Plasma Physics Laboratory (PPPL). Mynick is the author of more than 120 scientific papers. His research interests are in plasma physics, in energy and environmental studies, and in artificial intelligence. Within plasma physics, his principal areas of technical expertise are in plasma transport, particularly in 3-dimensional toroidal

  4. Farmers

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

    Descartes Labs Emerges With $5M to Improve Data for Farmers November 17, 2015 Images of the earth are being gathered by a growing flock of planes, satellites and drones, and they are full of useful information for those who are able to see it. 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 technology, which teaches computers to identify specific information and then find

  5. Research Highlights | JCESR

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

    Research Highlights Argonne battery researcher, Manar Ishwait, examines prototype electrodes in preparation for assembly and testing in laboratory cells. Interface-Induced Renormalization of Electrolyte Energy Levels in Magnesium Batteries (2-17-16) N. Kumar and D.J. Siegel, University of Michigan Fullrmc, A Rigid Body Reverse Monte Carlo Modeling Package Enabled With Machine Learning and Artificial Intelligence (1-22-16) B. Aoun, Argonne National Laboratory 2,5-Dimethoxy-1,4-Benzoquinone (DMBQ)

  6. 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.

  7. Expert system for surveillance and diagnosis of breach fuel elements

    DOE Patents [OSTI]

    Gross, Kenny C. (Lemont, IL)

    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.

  8. 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.

  9. 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.

  10. 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

  11. 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.

  12. CX-008179: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Building 09-056 Demolition CX(s) Applied: B1.23 Date: 04/24/2012 Location(s): Texas Offices(s): Pantex Site Office

  13. CX-007550: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kearney - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  14. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  15. CX-012310: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  16. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  17. CX-011626: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Line Yard Fence Project CX(s) Applied: B1.11 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  18. CX-011628: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Enclosure Modification Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  19. CX-011630: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    9831 Wall Construction Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  20. CX-009753: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Propane Corridor Development Program CX(s) Applied: B5.22 Date: 12/06/2012 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  1. CX-012799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Malin-Hilltop Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration

  2. CX-012805: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Brasada-Harney #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41908 Location(s): OregonOffices(s): Bonneville Power Administration

  3. CX-012813: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Redmond-Pilot Butte #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration

  4. CX-010479: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Load Control System Reliability CX(s) Applied: A9 Date: 05/29/2013 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  5. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    August 21, 2014 CX-012764: Categorical Exclusion Determination Kayenta-Navajo 230 Kilovolt Transmission Line Access Road Maintenance Coconini and Navajo Counties, Arizona CX(s) ...

  6. CX-006006: Categorical Exclusion Determination | Department of...

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

    Deployment of Innovative Energy Efficiency and Renewable Energy - Agriculture CX(s) ... Act funds to the Oregon Department of Agriculture to install improved efficiency ...

  7. 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...

  8. CX-012619: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chromatography and Analytical Sensor Measurements CX(s) Applied: B3.6Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  9. CX-007587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Chromatography CX(s) Applied: B3.6 Date: 12/29/2011 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  10. CX-009202: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Port Angeles Substation Equipment Additions CX(s) Applied: B4.6 Date: 09/14/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  11. CX-012791: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grizzly Captain Jack Transmission Line Access Road Acquisition CX(s) Applied: B1.24Date: 41935 Location(s): OregonOffices(s): Bonneville Power Administration

  12. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  13. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  14. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  15. CX-008571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Project Blue Energy CX(s) Applied: A9 Date: 06/20/2012 Location(s): Utah Offices(s): Golden Field Office

  16. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  17. FE Categorical Exclusions | Department of Energy

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

    Investigation of Cathode Electrocatalytic Activity using Surfaced Engineered Thin Film Samples CX(s) Applied: B3.6 Date: 09082011 Location(s): Pittsburgh,...

  18. CX-009543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sopogy Subcontract CX(s) Applied: A9, B5.15 Date: 11/28/2012 Location(s): Hawaii Offices(s): Golden Field Office

  19. CX-012195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  20. CX-012469: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Analysis Services CX(s) Applied: B3.6Date: 41876 Location(s): OregonOffices(s): National Energy Technology Laboratory

  1. CX-012512: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Amber Kinetics Flywheel Energy Storage Demonstration CX(s) Applied: B3.6Date: 41848 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  2. CX-008215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Small Hydropower Research and Development Technology Project CX(s) Applied: A9 Date: 04/03/2012 Location(s): Colorado Offices(s): Golden Field Office

  3. CX-012666: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Carib Energy (USA) LLC CX(s) Applied: B5.7Date: 05/30//2014 Location(s): FloridaOffices(s): Fossil Energy

  4. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  5. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-010727: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Dayton Tap Line Retirement CX(s) Applied: B4.10 Date: 08/13/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  7. CX-011173: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Yaak Substation Transformer Replacement CX(s) Applied: B4.6 Date: 09/18/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  8. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  9. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  10. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  11. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  12. CX-009132: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Landfill Gas Utilization Plant CX(s) Applied: B5.21 Date: 08/02/2012 Location(s): New York Offices(s): Golden Field Office

  13. CX-010618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: 0 Date: 07/19/2013 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  14. CX-008438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 06/27/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  15. CX-008282: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 05/01/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  16. CX-010339: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flight's End Property Funding CX(s) Applied: B1.25 Date: 05/20/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  17. CX-012311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Accelerator Test Facility II CX(s) Applied: B3.10 Date: 05/28/2014 Location(s): New York Offices(s): Brookhaven Site Office

  18. CX-007866: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  19. CX-012570: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Install Elevated Fire Water Storage Tank CX(s) Applied: B2.5Date: 41862 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  20. 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

  1. CX-009850: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Nanomaterials Preparation Lab CX(s) Applied: B3.6 Date: 01/29/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  2. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  4. CX-012656: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    North Bend Communication Site Engine Generator Replacement CX(s) Applied: B1.3Date: 41848 Location(s): WashingtonOffices(s): Bonneville Power Administration

  5. CX-010195: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Polymer Synthesis Lab - Modification CX(s) Applied: B3.6 Date: 04/15/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  6. CX-007779: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Routine Maintenance CX(s) Applied: B1.3 Date: 01/13/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  7. CX-009159: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Montana Formaul State Energy Program CX(s) Applied: A9, A11 Date: 09/06/2012 Location(s): Montana Offices(s): Golden Field Office

  8. CX-007522: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Crane Removal Project CX(s) Applied: B1.23 Date: 12/15/2011 Location(s): Tennessee Offices(s): Y-12 Site Office

  9. CX-012645: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wenatchee District 2014 Transmission Line Maintenance - Multiple Lines CX(s) Applied: B1.3Date: 41862 Location(s): WashingtonOffices(s): Bonneville Power Administration

  10. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  11. CX-007650: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Control Room Consolidation CX(s) Applied: B2.2 Date: 12/29/2011 Location(s): South Carolina Offices(s): Savannah River Operations Office

  12. CX-012653: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Holcomb-Naselle #1 Access Road Improvements CX(s) Applied: B1.3Date: 41855 Location(s): WashingtonOffices(s): Bonneville Power Administration

  13. CX-012643: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chehalis-Covington #1 Access Roads CX(s) Applied: B1.13Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  14. CX-012641: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mossy Rock-Chehalis #1 Access Road Maintenance CX(s) Applied: B1.3Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  15. CX-010514: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Center for Nanoscale Energy CX(s) Applied: B3.6 Date: 06/24/2013 Location(s): North Dakota Offices(s): Golden Field Office

  16. CX-007778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 01/13/2012 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  17. CX-010091: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration 2013-1 CX(s) Applied: B4.13 Date: 04/15/2012 Location(s): Idaho Offices(s): Nuclear Energy

  18. CX-010398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration CX(s) Applied: B4.13 Date: 04/25/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  19. CX-009312: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pecan Street Smart Grid Extension Service CX(s) Applied: A9 Date: 08/30/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

  20. CX-100159 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed Rulemaking for Energy Conservation Standards for Commercial and Industrial Pumps RIN: 1904-AC54 CX(s) Applied: B5.1

  1. CX-011065: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 08/29/2013 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  2. CX-011788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    I-75 Green Corridor Project CX(s) Applied: A1 Date: 02/10/2014 Location(s): Tennessee Offices(s): National Energy Technology Laboratory

  3. CX-007497: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Clean Energy Coalition - Michigan Green Fleets CX(s) Applied: A1 Date: 12/06/2011 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  4. CX-011712: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 01/08/2014 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  5. CX-010938: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Midwest Region Alternative Fuels Project CX(s) Applied: A1 Date: 09/17/2013 Location(s): Kansas, Kansas Offices(s): National Energy Technology Laboratory

  6. CX-011271: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Idaho Petroleum Reduction Leadership Project CX(s) Applied: A1 Date: 09/30/2013 Location(s): Idaho Offices(s): National Energy Technology Laboratory

  7. CX-012722: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Test Reactor Area (TRA)-653 Conference Room Modifications CX(s) Applied: B1.15Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy

  8. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  9. CX-010797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Serration Behavior of High Entropy Alloys CX(s) Applied: A9 Date: 08/14/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  10. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  11. CX-009203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ross Maintenance Headquarters Project CX(s) Applied: B1.15 Date: 09/19/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  12. CX-012788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bio-Aviation Fuel LCA with GREET CX(s) Applied: B5.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  13. CX-011069: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Induction Furnace Melting CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  14. CX-010768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ZIRCEX Nuclear Fuel Dissolution Testing CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Idaho Offices(s): Nuclear Energy

  15. CX-012002: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Raver-Covington Conductor Replacement CX(s) Applied: B1.3 Date: 04/24/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  16. CX-007795: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Easement Acquisition, Carroll County, Arkansas CX(s) Applied: B1.24 Date: 02/07/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

  17. CX-008161: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prosser Hatchery Backup Generator Replacement CX(s) Applied: B1.31 Date: 04/16/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  18. CX-012472: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

  19. CX-007613: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Next Generation Ultra Lean Burn Powertrain CX(s) Applied: A9 Date: 01/10/2012 Location(s): California Offices(s): National Energy Technology Laboratory

  20. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  1. CX-012495: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 6 Stack Replacement CX(s) Applied: B1.3Date: 41855 Location(s): West VirginiaOffices(s): National Energy Technology Laboratory

  2. CX-007428: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ralls Independent School District CX(s) Applied: B5.18 Date: 12/20/2011 Location(s): Texas Offices(s): Golden Field Office

  3. CX-007423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Highland Independent School District CX(s) Applied: B5.18 Date: 12/13/2011 Location(s): Texas Offices(s): Golden Field Office

  4. CX-007426: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sharyland Independent School District CX(s) Applied: B5.16 Date: 12/13/2011 Location(s): Texas Offices(s): Golden Field Office

  5. CX-010150: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Celilo Fiber System CX(s) Applied: B4.7 Date: 04/15/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  6. CX-009587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    City of Houston, Texas CX(s) Applied: B5.1 Date: 12/12/2012 Location(s): Texas Offices(s): Golden Field Office

  7. CX-012228: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deer Park Substation Connection Modifications CX(s) Applied: B4.11 Date: 06/17/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-012333: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 06/03/2014 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  9. CX-006646: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Restoration South of 54-TPX-10CX(s) Applied: B6.1Date: 02/09/2010Location(s): Casper, WyomingOffice(s): RMOTC

  10. CX-003164: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  11. CX-012796: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big Eddy-Redmond #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41919 Location(s): OregonOffices(s): Bonneville Power Administration

  12. CX-008471: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Tree Planting Initiative - Rebuild Western Mass CX(s) Applied: A1 Date: 06/08/2012 Location(s): Massachusetts Offices(s): National Energy Technology Laboratory

  13. CX-012803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacajawea Substation Expansion and Upgrade CX(s) Applied: B4.6Date: 41912 Location(s): WashingtonOffices(s): Bonneville Power Administration

  14. CX-012665: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cheniere Marketing, LLC CX(s) Applied: B5.7Date: 06/04/2014 Location(s): Multiple LocationsOffices(s): Fossil Energy

  15. CX-011707: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Laser Nanoparticle Lab CX(s) Applied: B3.6 Date: 01/15/2014 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  16. CX-008341: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A-6 Office Building CX(s) Applied: B1.15 Date: 04/19/2012 Location(s): Pennsylvania Offices(s): Naval Nuclear Propulsion Program

  17. CX-011177: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hebo Substation Access Road Maintenance CX(s) Applied: B1.3 Date: 09/13/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  18. CX-006491: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006491: Categorical Exclusion Determination Photovoltaic Manufacturing Consortium CX(s) Applied: B3.6 Date: 09012011 Location(s): Florida...

  19. CX-007873: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007873: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B3.14 Date: 01272012...

  20. CX-007867: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007867: Categorical Exclusion Determination Northeast Photovoltaic Regional Training Provider CX(s) Applied: A9, A11, B5.16 Date: 01272012...

  1. CX-012640: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lexington-Longview #1 Access Road Maintenance CX(s) Applied: B1.3Date: 41865 Location(s): WashingtonOffices(s): Bonneville Power Administration

  2. CX-011189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Naselle Ridge Emergency Generator Replacement CX(s) Applied: B4.6 Date: 08/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-011237: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  4. CX-010756: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Utility Network Deployment Acceleration CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Virginia Offices(s): Golden Field Office

  5. CX-011102: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    American Solar Transformation Initiative CX(s) Applied: A11 Date: 08/09/2013 Location(s): California Offices(s): Golden Field Office

  6. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  7. CX-010426: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Vista View Fields Land Acquisition CX(s) Applied: B1.25 Date: 06/19/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-008250: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geotechnical Core Drilling for USGS 138 CX(s) Applied: B3.1 Date: 04/18/2012 Location(s): Idaho Offices(s): Nuclear Energy

  9. CX-010699: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Boulevard Annex Lease Termination CX(s) Applied: B1.24 Date: 07/11/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  10. CX-008251: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    International Way Office Building Lease Termination CX(s) Applied: B1.24 Date: 03/21/2012 Location(s): Idaho Offices(s): Nuclear Energy

  11. CX-007793: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Jonesboro Maintenance Facility Additions CX(s) Applied: B1.15 Date: 05/10/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

  12. CX-007794: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grandview, Arkansas Interconnection CX(s) Applied: B4.12 Date: 04/08/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration

  13. CX-007798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Springfield Maintenance Garage CX(s) Applied: B1.15 Date: 12/08/2010 Location(s): Missouri Offices(s): Southwestern Power Administration

  14. CX-009704: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pasco Land Acquisition CX(s) Applied: B1.24 Date: 12/17/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  16. CX-008989: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    State Energy Program CX(s) Applied: A9, A11 Date: 08/27/2012 Location(s): Kansas Offices(s): Golden Field Office

  17. CX-012728: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    BHP-3 Offsite Bump Repair CX(s) Applied: B1.3Date: 41885 Location(s): TexasOffices(s): Strategic Petroleum Reserve Field Office

  18. CX-009786: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Beck Road Substation Meter Installation CX(s) Applied: B1.7 Date: 01/07/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  19. CX-010742: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Integrated Simulation Development and Decision Support CX(s) Applied: A9 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  20. CX-012730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace West Hackberry Radio Tower CX(s) Applied: B1.19Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  1. CX-012531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Distributed Wireless Antenna Sensors for Boiler Condition CX(s) Applied: B3.6Date: 41836 Location(s): CaliforniaOffices(s): National Energy Technology Laboratory

  2. CX-012539: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Distributed Wireless Antenna Sensors for Boiler Condition CX(s) Applied: B3.6Date: 41836 Location(s): TexasOffices(s): National Energy Technology Laboratory

  3. CX-010019: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Iodine Speciation CX(s) Applied: B3.6 Date: 01/28/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  4. CX-009295: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Regional Innovation Cluster CX(s) Applied: B3.6 Date: 09/05/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  5. CX-001856: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Rural Cooperative Geothermal Development Electric and Agriculture CX(s) Applied: B3.1 Date: 04282010 Location(s): Paisley, Oregon Office(s): Energy...

  6. CX-010763: Categorical Exclusion Determination | Department of...

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

    CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...

  7. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  8. CX-012482: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mid-Atlantic Regional Infrastructure Development Project CX(s) Applied: B5.22Date: 41862 Location(s): MarylandOffices(s): National Energy Technology Laboratory

  9. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. CX-010338: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Fiber Interconnection CX(s) Applied: B4.7 Date: 05/21/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  11. CX-010343: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bald Hill Farms Property Funding CX(s) Applied: B1.25 Date: 05/10/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  12. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  13. CX-012222: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harney Substation Digital Communications Upgrade CX(s) Applied: B1.7 Date: 06/30/2014 Location(s): Oregon Offices(s): Bonneville Power Administration

  14. CX-008799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Jack Case Showers Projects CX(s) Applied: B1.3 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  15. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  16. CX-012054: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Catalyst Synthesis CX(s) Applied: B3.6 Date: 03/18/2014 Location(s): South Carolina Offices(s): Savannah River Operations Office

  17. CX-008691: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mason Substation Metering Replacement Project CX(s) Applied: B1.7 Date: 06/25/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  18. CX-011538: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Ninemile Creek Lower Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  19. CX-011536: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Aeneans Creek Spring Property Funding CX(s) Applied: B1.25 Date: 11/25/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  20. CX-011537: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Wanacut Creek Upper Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-010770: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wildland Fire Chainsaw Training CX(s) Applied: B1.2 Date: 08/01/2013 Location(s): Idaho Offices(s): Nuclear Energy

  2. CX-010591: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    South Yamhill Floodplain Property Funding CX(s) Applied: B1.25 Date: 06/26/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  3. CX-012654: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Red Hills Property Acquisition Funding CX(s) Applied: B1.25Date: 41850 Location(s): OregonOffices(s): Bonneville Power Administration

  4. CX-012224: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coyote Creek Property Acquisition Funding CX(s) Applied: B1.25 Date: 06/25/2014 Location(s): Oregon Offices(s): Bonneville Power Administration

  5. CX-012223: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Turtle Flats Property Acquisition Funding CX(s) Applied: B1.25 Date: 06/25/2014 Location(s): Oregon Offices(s): Bonneville Power Administration

  6. CX-010028: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flame Forming Proppants CX(s) Applied: B3.6 Date: 01/17/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  7. CX-003703: Categorical Exclusion Determination | Department of...

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

    Determination Florida Hydrogen Initiative - Florida Institute of Technology (Interdisciplinary Hydrogen and Fuel Cell Technology Academic Program) CX(s) Applied: A9 Date: 09...

  8. CX-012463: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  9. CX-012561: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace Department of Energy Office Trailers CX(s) Applied: B1.15Date: 41871 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  10. CX-010578: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Celilo Converter Station Upgrades CX(s) Applied: B4.11 Date: 07/25/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  11. CX-012795: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Bonneville Substation 23- Kilovolt Line Retermination CX(s) Applied: B4.11Date: 41926 Location(s): WashingtonOffices(s): Bonneville Power Administration

  12. CX-008803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  13. CX-012822: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Santiam-Toledo Structure 39/7 Replacement CX(s) Applied: B1.3Date: 41876 Location(s): OregonOffices(s): Bonneville Power Administration

  14. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  15. CX-012283: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    USC Autoclave CX(s) Applied: B3.6 Date: 06/14/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  16. CX-010587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mariah Wind CX(s) Applied: B1.7 Date: 07/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  17. CX-012583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biofuels Production Experiment CX(s) Applied: B3.6Date: 41841 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  18. CX-007792: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Gore Substation Safety Lighting CX(s) Applied: B2.3 Date: 09/01/2011 Location(s): Oklahoma Offices(s): Southwestern Power Administration

  19. CX-007517: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    UPF Mock Wall Project CX(s) Applied: B3.6 Date: 11/29/2011 Location(s): Tennessee Offices(s): Y-12 Site Office

  20. CX-009630: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ICP Routine Maintenance CX(s) Applied: B1.3 Date: 11/06/2012 Location(s): Idaho Offices(s): Idaho Operations Office