Sample records for intelligence cxs applied

  1. applying swarm intelligence: Topics by E-print Network

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

    Correll; Alcherio Martinoli 2005-01-01 35 Applied Virtual Intelligence in Oil & Gas Industry; Fossil Fuels Websites Summary: ;7 Shahab D. Mohaghegh, WVU Virtual Intelligence Also...

  2. Applied Data Mining for Business Intelligence

    E-Print Network [OSTI]

    capacity grows with twice the speed of processor power. This unbalanced growth relationship will over time validity criteria. #12;Resum´e Business Intelligence (BI) løsninger har igennem mange °ar været et populært

  3. applied artificial intelligence: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 155 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  4. QUALITY TOOLS APPLIED TO TERRITORIAL INTELLIGENCE Cinta C. Garca Vzquez

    E-Print Network [OSTI]

    Boyer, Edmond

    on a description of Territorial Intelligence; the second one contains the description of the "Six Sigma" process; and lastly, the description of some of the quality tools used by the Six Sigma project. Territorial based on the results observed in the assessment?. The "Six Sigma" method, deal with this question using

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

    SciTech Connect (OSTI)

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

    2003-02-12T23:59:59.000Z

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

  6. Total Facility Control - Applying New Intelligent Technologies to Energy Efficient Green Buildings

    E-Print Network [OSTI]

    Bernstein, R.

    2010-01-01T23:59:59.000Z

    Energy efficiency through intelligent control is a core element of any "Green Building". We need smarter, more efficient ways of managing the energy consuming elements within a building. But what we think of as "the building" ...

  7. Applied Intelligence 18, 155177, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Casillas Barranquero, Jorge

    controllers dedicated to the control of heating, ventilating and air conditioning systems concerning energy applied only to the control of active systems, i.e., Heating, Ventilating, and Air Conditioning (HVAC in buildings. The energy consumption as well as indoor comfort aspects of ven- tilated and air conditioned

  8. Apply

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3Appliance andApplicationBerkeleyAppliedApply

  9. Applying an intelligent and automated emissions measurement system to characterize the RF environment for supporting wireless technologies

    SciTech Connect (OSTI)

    Keebler, P. F.; Phipps, K. O. [EPRI Solutions, 942 Corridor Park Blvd, Knoxville, TN 37932 (United States)

    2006-07-01T23:59:59.000Z

    The use of wireless technologies in commercial and industrial facilities has grown significantly in the past several years. New applications of wireless technologies with increasing frequency and varying radiated power are being developed everyday. Wireless application specialists and end users have already identified several sources of electromagnetic interference (EMI) in these facilities. Interference has been reported between wireless devices and between these devices and other types of electronic equipment either using frequencies in the unlicensed wireless spectrum or equipment that may generate undesired man-made noise in this spectrum. Facilities that are not using the wireless band should verify the spectral quality of that band and the electromagnetic compatibility (EMC) integrity of safety-related power and signal cables before installing wireless technologies. With the introduction of new wireless devices in the same electromagnetic space where analog and digital I and C systems and cables must co-exist, the ability of facility managers to manage their spectra will dictate the degree of interference between wireless devices and other electronic equipment. Because of the unknowns associated with interference with analog and digital I and C systems in the wireless band, nuclear power plants have been slow to introduce wireless technologies in plant areas. With the application of newly developed advanced radiated emissions measurement systems that can record, process, and analyze radiated and conducted emissions in a cost-effective manner, facility managers can more reliably characterize potential locations for wireless technologies, including potential coupling effects with safety-related power and signal cables, with increased confidence that the risks associated with creating an interference can be significantly reduced. This paper will present an effective philosophy already being used in other mission-critical applications for managing EMC, an overview of wireless emissions sources, the need for EMC characterization of power and signal cables with exposure to wireless devices, and an intelligent and automated emissions measurement system. Such a system can be used in nuclear power plants to determine the spectral quality of the wireless band, the EMC characterization of power and signal cables, and if wireless technologies can be collocated in plants while reducing the risk of interference with I and C systems. (authors)

  10. 6.034 Artificial Intelligence, Spring 2003

    E-Print Network [OSTI]

    Lozano-Perez, Tomas

    Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint ...

  11. 6.034 Artificial Intelligence, Fall 2002

    E-Print Network [OSTI]

    Winston, Patrick Henry

    Introduces representations, techniques, and architectures used to build applied systems and to account for intelligence from a computational point of view. Applications of rule chaining, heuristic search, constraint ...

  12. Collective artificial intelligence : simulated role-playing from crowdsourced data

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01T23:59:59.000Z

    Collective Artificial Intelligence (CAl) simulates human intelligence from data contributed by many humans, mined for inter-related patterns. This thesis applies CAI to social role-playing, introducing an end-to-end process ...

  13. INTELLIGENT ENGINEERING

    E-Print Network [OSTI]

    Wehenkel, Louis

    CPSPP'97 ­ IFAC/CIGRE SYMPOSIUM ON CONTROL OF POWER SYSTEMS AND POWER PLANTS TUTORIAL COURSE ON INTELLIGENT SYSTEMS AND THEIR POWER ENGINEERING APPLICATIONS AUTOMATIC LEARNING APPLICATIONS TO DSA Learning) THEN (class=stable) Automatic Louis WEHENKEL University of Li?? ege ­ Belgium Final version of the course notes

  14. Progressing for Intelligent to Smart Buildings

    E-Print Network [OSTI]

    Buckman, A. H.; Mayfield, M.; Meijer, R.; Beck, S. B. M.

    2013-01-01T23:59:59.000Z

    This paper addresses the issue of the misunderstandings surrounding the terms intelligent and smart when applied to modern buildings. The terms have increasingly been used interchangeably which has led to confusion for designers, researchers...

  15. Intelligence Research Specialist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as an Intelligence Research Specialist for the Foreign Nuclear Programs Division (FNPD), Directorate of Intelligence Analysis (IN10), Office of...

  16. 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...

  17. Applied Virtual Intelligence in Oil & Gas Industry;

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Quantitative, Precise, Formal Precision and certainty carry a cost #12;9 Shahab D. Mohaghegh, WVU OUTLINE Definitions Do not hit stopped cars Distance Speed Human Like Decisions Acceptable Solutions at Low Cost #12 is a computing system made up of a number of simple, highly interconnected processing elements, which processes

  18. Context-Enabled Business Intelligence

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2012-04-01T23:59:59.000Z

    To truly understand context and apply it in business intelligence, it is vital to understand what context is and how it can be applied in addressing organizational needs. Context describes the facets of the environment that impact the way that end users interact with the system. Context includes aspects of location, chronology, access method, demographics, social influence/ relationships, end-user attitude/ emotional state, behavior/ past behavior, and presence. To be successful in making Business Intelligence content enabled, it is important to be able to capture the context of use user. With advances in technology, there are a number of ways in which this user based information can be gathered and exposed to enhance the overall end user experience.

  19. Foundations of Artificial IntelligenceFoundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

    of Artificial Intelligence applications Show how these systems can be used to solve practical problems AllowRecommended Reading Negnevitsky Artificial intelligence : a guide to intelligent systems. Addison-Wesley, 2002. Good1 Foundations of Artificial IntelligenceFoundations of Artificial Intelligence Introduction

  20. 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

  1. CX-011071: 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): Texas Offices(s): National Energy Technology Laboratory

  2. CX-011073: 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): New York Offices(s): National Energy Technology Laboratory

  3. CX-001555: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  4. 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

  5. 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

  6. Social Intelligence: Next Generation Business Intelligence

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-09-01T23:59:59.000Z

    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.

  7. Center for Intelligent Systems Research GW Transportation Research Institute

    E-Print Network [OSTI]

    Vertes, Akos

    a vehicle donated by General Motors Corporation, the simulator will be used to conduct research Institute School of Engineering and Applied Science #12;Driver Simulator Laboratory Center for Intelligent

  8. Machine Intelligence and Robotics Report of the NASA Study Group

    E-Print Network [OSTI]

    Reddy, Raj

    Intelligence Laboratory Department of Computer Science Stanford University Dr. Ralph C. Gonzalez Professor, Jet Propulsion Laboratory Dr. Elliott C. Levinthal Adjunct Professor of Genetics Stanford University and Applied Psychology Massachusetts Institute of Technology Dr. William M. Whitney Manager for Information

  9. LED Market Intelligence Report

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

    early adopters of LED technologies, particularly around dimming capabilities. 16 LED Market Intelligence Report Home Depot Walmart Cree Philips TCP GE LSG Osram Feit Costco...

  10. Symbolic diagnosis for intelligent control

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24T23:59:59.000Z

    I INTRODUCTION I 0-8186-2012--9!89/8888/0280$01 .OO 0 1989 IEEE 280 I I !5si I I I I Intelligent Control is loosely defined here as the use of symbolic processing for the purpose of controlling I c I I I I I Authorized licensed use... limited to: Texas A M University. Downloaded on February 18,2010 at 16:28:03 EST from IEEE Xplore. Restrictions apply. trol tactics which may not be compatible with an in- flexible, ?hard-wired,? direct encoding of algorithms in the numerical...

  11. Artificial intelligence and intelligent tutoring systems

    SciTech Connect (OSTI)

    Livergood, N.D.

    1989-01-01T23:59:59.000Z

    As a species we have evolved by increasing our mental and physical powers through the deliberate development and use of instruments that amplify our inherent capabilities. Whereas hereditarily given instincts predetermine the actions of lower animal forms, human existence begins with freedom. As humans we can choose what actions we will perform. We have invented a technology called education to prepare ourselves for life. At present, our educational structures and procedures are failing to prepare us efficiently for the demands of modern life. One of the most important new technologies, in relation to human development, is the digital computer. This dissertation proposes that artificial intelligence maintain a highly critical technological awareness. Artificial intelligence, because of its origin as a politically sponsored field of investigation, must strive for constant awareness of its place within the larger political-economic world and its possible misuse by factions intent on manipulation and control. Computerized models of the human mind could be used in developing progressively more sophisticated brainwashing systems. Intelligent tutoring systems comprise an important new technology within the field of artificial intelligence. This dissertation explores specification and design procedures, functions and issues in developing intelligent tutoring systems.

  12. Rural Intelligent Transportation Systems

    E-Print Network [OSTI]

    Minnesota, University of

    Rural Intelligent Transportation Systems In a technical session at the 2011 NACE conference, Dennis Foderberg of SEH Inc. discussed intelligent transportation systems (ITS) developed by SEH in collaboration with Network Transportation Technologies, Inc. These systems address the problem of crashes on low-volume roads

  13. Artificial Intelligence Techniques for Steam Generator Modelling

    E-Print Network [OSTI]

    Wright, Sarah

    2008-01-01T23:59:59.000Z

    This paper investigates the use of different Artificial Intelligence methods to predict the values of several continuous variables from a Steam Generator. The objective was to determine how the different artificial intelligence methods performed in making predictions on the given dataset. The artificial intelligence methods evaluated were Neural Networks, Support Vector Machines, and Adaptive Neuro-Fuzzy Inference Systems. The types of neural networks investigated were Multi-Layer Perceptions, and Radial Basis Function. Bayesian and committee techniques were applied to these neural networks. Each of the AI methods considered was simulated in Matlab. The results of the simulations showed that all the AI methods were capable of predicting the Steam Generator data reasonably accurately. However, the Adaptive Neuro-Fuzzy Inference system out performed the other methods in terms of accuracy and ease of implementation, while still achieving a fast execution time as well as a reasonable training time.

  14. Intelligent Potroom Operation

    SciTech Connect (OSTI)

    Jan Berkow; Larry Banta

    2003-07-29T23:59:59.000Z

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

  15. Fourth Intelligent Sootblowing Workshop Proceedings

    SciTech Connect (OSTI)

    None

    2002-03-01T23:59:59.000Z

    This document describes the presentations and panel discussions of the Fourth Intelligent Sootblowing Workshop and Exposition held March 19-21, 2002, in Houston, Texas.

  16. Creating an intelligent agent for StarCraft: Brood War

    E-Print Network [OSTI]

    Ernst, Damien

    Creating an intelligent agent for StarCraft: Brood War University of Lige Faculty of Applied artificialintelligence (AI)? Video games Why real-time strategy (RTS) games? Introduction #12;StarCraft: Brood War a patrol unit #12;Implementation Chapter III #12;StarCraft is not open source! The Brood War Application

  17. Providing Intelligent Language Feedback for Augmentative Communication Users

    E-Print Network [OSTI]

    McCoy, Kathleen F.

    . Pennington and Kathleen F. McCoy Applied Science and Engineering Laboratories Department of ComputerProviding Intelligent Language Feedback for Augmentative Communication Users Christopher A and Information Sciences University of Delaware duPont Hospital for Children Wilmington, DE 19899 penningt

  18. Providing Intelligent Language Feedback for Augmentative Communication Users

    E-Print Network [OSTI]

    McCoy, Kathleen F.

    . Pennington and Kathleen F. McCoy Applied Science and Engineering Laboratories Department of ComputerProviding Intelligent Language Feedback for Augmentative Communication Users Christopher A and Information Sciences University of Delaware / duPont Hospital for Children Wilmington, DE 19899 penningt

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

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

    will help protect intelligent distributed power grids from cyber attacks. Intelligent power grids are interdependent energy management systems-encompassing generation,...

  20. Advances in intelligent sootblowing

    SciTech Connect (OSTI)

    Carter, H.R. [Diamond Power International Inc. (United States)

    2005-10-01T23:59:59.000Z

    Smart software now can decide whether a boiler section is sufficiently free of ash or slag, or needs to be cleaned by sootblowing. Such software constitutes the brains of integrated control systems capable of optimizing the order and frequency of sootblower operations and determining achievable cleanliness levels. Some of these systems can even perform adaptive set point control by basing cleanliness levels on real-time boiler operating parameters. The article describes the various modules of an intelligent sootblowing system (ISB) and gives results of the implementation of the system on PRB coal-burning boilers. 5 figs.

  1. IMSC Spring Retreat Activity Based Intelligence

    E-Print Network [OSTI]

    Shahabi, Cyrus

    intelligence modality (SIGINT, IMINT, OSINT, GEOINT..... ) ­ Non-traditional indicators (social networks

  2. Hindawi Publishing Corporation Applied Computational Intelligence and Soft Computing

    E-Print Network [OSTI]

    Boyer, Edmond

    for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems Lhassane Idoumghar,1, 2 strong local-search ability. In this paper, we present a hybrid optimization algorithm, called HPSO, Article ID 138078, 12 pages doi:10.1155/2011/138078 Research Article Hybrid PSO-SA Type Algorithms

  3. APPLYING ACTIVITY PATTERNS FOR DEVELOPING AN INTELLIGENT PROCESS MODELING TOOL

    E-Print Network [OSTI]

    Ulm, Universitt

    attracting the interest of both BPM researchers and BPM tool vendors. Frequently, process models can Process Management (BPM) tools as well as emerging patterns for process modeling and change. BPM processes of an enterprise. Moreover, through Web service technology, the benefits of BPM can be created

  4. Emotional Intelligence: a Component of Personality or Intelligence?

    E-Print Network [OSTI]

    Peek, Bertie

    2008-06-24T23:59:59.000Z

    Emotional Intelligence is a concept which has grown increasingly prevalent in both popular and academic psychology over a number of years, yet the precise conceptualisation of the construct and its operationalisation is ...

  5. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J. (Idaho Falls, ID)

    2009-11-17T23:59:59.000Z

    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.

  6. Symbolic diagnosis for intelligent control

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24T23:59:59.000Z

    power systems. The approach is to create a generic, symbolic inference engine to interpret data from real-time numerical processes. The interpreted data are then utilized by companion symbolic and numeric modules resulting in a dynamic, intelligent real...

  7. Challenges in Intelligent Transportation Systems

    E-Print Network [OSTI]

    Gesbert, David

    -EURECOM Workshop #12;The Vision: Intelligent Vehicle / Transport Motocycle Warning Emergency Vehicle [Source: BMW F with dielectric housing Fig. 3: Dielectric housing Source: Oliver Klemp (Oliver.Klemp@bmw.de), BMW R&D, Munich

  8. OVERVIEW ______ Sensors for Intelligent

    E-Print Network [OSTI]

    Wadley, Haydn

    are extensively applied in automobiles to control pollution, enhance fuel economy, implement anti-lock braking. For the interim, electromagnetic acoustic transducers (EMATs) show great promise as u

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

    Office of Environmental Management (EM)

    and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing generation,...

  10. artificial intelligence techniques: Topics by E-print Network

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

    vs. "Conventional Control" Intelligent Control: Basic Techniques 164 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  11. Intelligent Component Monitoring for Nuclear Power Plants

    SciTech Connect (OSTI)

    Lefteri Tsoukalas

    2010-07-30T23:59:59.000Z

    Reliability and economy are two major concerns for a nuclear power generation system. Next generation nuclear power reactors are being developed to be more reliable and economic. An effective and efficient surveillance system can generously contribute toward this goal. Recent progress in computer systems and computational tools has made it necessary and possible to upgrade current surveillance/monitoring strategy for better performance. For example, intelligent computing techniques can be applied to develop algorithm that help people better understand the information collected from sensors and thus reduce human error to a new low level. Incidents incurred from human error in nuclear industry are not rare and have been proven costly. The goal of this project is to develop and test an intelligent prognostics methodology for predicting aging effects impacting long-term performance of nuclear components and systems. The approach is particularly suitable for predicting the performance of nuclear reactor systems which have low failure probabilities (e.g., less than 10-6 year-). Such components and systems are often perceived as peripheral to the reactor and are left somewhat unattended. That is, even when inspected, if they are not perceived to be causing some immediate problem, they may not be paid due attention. Attention to such systems normally involves long term monitoring and possibly reasoning with multiple features and evidence, requirements that are not best suited for humans.

  12. Artificial Intelligence Problem Solving and Search

    E-Print Network [OSTI]

    Srinivasan, Padmini

    . Artificial Intelligence ­ p.1/89 #12;Example: Romania Problem: On holiday in Romania; currently in Arad, Fagaras, Bucharest Artificial Intelligence ­ p.2/89 #12;Example: Romania Giurgiu Urziceni Hirsova Eforie

  13. Artificial Intelligence Problem Solving and Search

    E-Print Network [OSTI]

    Srinivasan, Padmini

    . Artificial Intelligence ­ p.1/89 Example: Romania Problem: On holiday in Romania; currently in Arad. Flight, Bucharest Artificial Intelligence ­ p.2/89 Example: Romania Giurgiu Urziceni Hirsova Eforie Neamt Oradea

  14. MAS.963 Ambient Intelligence, Spring 2004

    E-Print Network [OSTI]

    Maes, Patricia

    This course focuses on Ambient Intelligence, and how it envisions a world where people are surrounded by intelligent and intuitive interfaces embedded in the everyday objects around them. These interfaces recognize and ...

  15. Intelligent wind power prediction systems final report

    E-Print Network [OSTI]

    Intelligent wind power prediction systems final report Henrik Aalborg Nielsen (han (FU 4101) Ens. journal number: 79029-0001 Project title: Intelligent wind power prediction systems #12;#12;Intelligent wind power prediction systems 1/36 Contents 1 Introduction 6 2 The Wind Power Prediction Tool 7 3

  16. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

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

    2005-08-01T23:59:59.000Z

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

  17. ARTIFICIAL INTELLIGENCE A Qualitative Physics

    E-Print Network [OSTI]

    de Kleer, Johan

    ARTIFICIAL INTELLIGENCE A Qualitative Physics Confluences Johan De Kleer and John Seely Brown Xerox physics are (1) to be far simpler than the classical physics and yet retain all the important distinctions quantities and differential equations, (2) to produce causal accounts of physical mechanisms that are easy

  18. MIL Covers the Spectrum Intelligence

    E-Print Network [OSTI]

    Schwartz, Eric M.

    participated in the Association for Unmanned Vehicle Systems International (AUVSI) underwater vehicle (Robo, and summer robotics camps. Applications of MIL research include autonomous underwater vehicles (AUVsGator is an autonomous underwater vehicle project designed and built by students of UF's MIL. Machine Intelligence

  19. Toward Machines with Emotional Intelligence

    E-Print Network [OSTI]

    intelligence could address several problems that exist today, while enabling better technologies for the future that is useless. You express a little more annoyance. He doesn't show any hint of noticing that you are annoyed useless advice. Perhaps when he first came in you started off with a very subtle expression of negativity

  20. Geospatial knowledge for territorial intelligence Pr. Robert Laurini Geospatial Knowledge

    E-Print Network [OSTI]

    Laurini, Robert

    Geospatial knowledge for territorial intelligence Pr. Robert Laurini Geospatial Knowledge Management Objective: Sustainable development #12;Geospatial knowledge for territorial intelligence Pr;Geospatial knowledge for territorial intelligence Pr. Robert Laurini Generic and specific knowledge

  1. Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy

    E-Print Network [OSTI]

    Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Intelligent Center Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Final Project neuro-fuzzy techniques is used for non-linear system identification, output estimation, and fault

  2. An intelligent appliance control

    SciTech Connect (OSTI)

    Maher, C.A. Jr. [Tridelta Industries, Inc., Mentor, OH (United States)] [Tridelta Industries, Inc., Mentor, OH (United States); McMahon, G. [Pitco Frialator, Inc., Concord, NH (United States)] [Pitco Frialator, Inc., Concord, NH (United States)

    1998-05-01T23:59:59.000Z

    This paper describes the use of a microcontroller to implement an adaptive form of an ON/OFF-type control system. The principal benefits that this technique offers are the ability to self adjust automatically to the dynamics of the appliance being controlled and to minimize the cyclic wear and tear on the final heat-control elements. This technique is best applied to those systems with at least one large energy storage element (e.g., thermal mass), not needing fine control of the controlled variable, and ones using ON/OFF (relay type) rather than continuous final control outputs. This profile encompasses a large number of potential applications, particularly in the appliance field.

  3. Geospatial Intelligence at the Environmental Protection Agency

    E-Print Network [OSTI]

    McLaughlin, Casey

    2013-01-24T23:59:59.000Z

    Geospatial Intelligence at the Environmental Protection Agency Casey McLaughlin, GISP Mclaughlin.casey@epa.gov http://blog.epa.gov/bigbluethread GIS DAY 2012 2 Kansas Was an Ocean Protect Human Health and the Environment ? Develop... Whats GeoSpatial National Projects What we do regionally 4 http://nationalmap.gov/ustopo/history.html Cartography Roots 5 Chat Piles Waste Discharge EPA Cleans up Waste Geospatial Intelligence Geospatial Intelligence: it is the means...

  4. Intelligent Simulation Tools for Mining Large Scienti c Data Sets 1 Intelligent Simulation Tools for Mining

    E-Print Network [OSTI]

    Bailey-Kellogg, Chris

    Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets 1 Intelligent Simulation Tools for Mining Large Scienti#12;c Data Sets Feng ZHAO Xerox Palo Alto Research Center 3333 Coyote Hill Road, Palo. Keywords Intelligent simulation, Scienti#12;c data mining, Qualitative reasoning, Reasoning about physical

  5. Introduction to Artificial Intelligence Discuss what is meant by Artificial Intelligence (AI)

    E-Print Network [OSTI]

    Qu, Rong

    - Explicit Induced - Deduced Introduction to Artificial Intelligence AI Techniques Top Down - Expert Systems1 Introduction to Artificial Intelligence Objectives Discuss what is meant by Artificial intelligence Introduce the terms to be used through the rest of the course Introduction to Artificial

  6. 7. Distributed AI D. Keil Artificial Intelligence 1/12 David Keil, CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    D. Keil Special Topics: Artificial Intelligence 1/12 2. Multi-agent systems 3. Stigmergy and self-agent) and phylogenetic (evolutionary) is adaptation by multi-agent systems D. Keil Special Topics: Artificial7. Distributed AI D. Keil Artificial Intelligence 1/12 David Keil, CSCI 400 Artificial Intelligence

  7. TopTop--Down Intelligent ReservoirDown Intelligent Reservoir Modeling (TDIRM)Modeling (TDIRM)

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Reservoir ModelingModeling In top-down modeling we start from production data and try to deduce a pictureTopTop--Down Intelligent ReservoirDown Intelligent Reservoir Modeling (TDIRM)Modeling (TDIRM) A NEW APPROACH IN RESERVOIR MODELING BY INTEGRATING CLASSIC RESERVOIR ENGINEERING WITH ARTIFICIAL INTELLIGENCE

  8. Management and Control of Foreign Intelligence

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

    1992-01-15T23:59:59.000Z

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

  9. Application of artifical intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1993--October 1994

    SciTech Connect (OSTI)

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

    1995-07-01T23:59:59.000Z

    This basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs.

  10. artificial intelligence ai: Topics by E-print Network

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

    1628 February, 1999 A Binocular, Foveated Active Vision System Brian Scassellati MIT Artificial Intelligence Lab project at the MIT Artificial Intelligence Laboratory. The ac- tive...

  11. artificial intelligence based: Topics by E-print Network

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

    Introduction Qu, Rong 14 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  12. artificial intelligence consortium: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 142 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  13. artificial intelligence technical: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 155 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  14. artificial intelligence expert: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 155 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  15. artificial intelligence workflow: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 143 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  16. artificial intelligence methods: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 149 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  17. artificial intelligence method: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 149 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  18. artificial intelligence tools: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 163 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  19. artificial intelligence search: Topics by E-print Network

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

    cycle, artificial intelligence. 1 INTRODUCTION Paris-Sud XI, Universit de 164 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

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

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

    Intelligence Agency Support Team in September 2013. Photo by National Air and Space Intelligence Center. Dot Harris, Director of the Office of Economic Impact and...

  1. Intelligent Daylight Panel Control System based on Fuzzy Control for Green Buildings

    E-Print Network [OSTI]

    T. C. Kuo; J. S. Lin; Y. Takeuchi; Y. J. Huang

    AbstractThis paper proposes an intelligent daylight panel control system based on fuzzy control theory for green buildings. The goal of this research is to automatically modulate sunlight efficiently and to enhance the quality of interior illuminations, thus reducing the need for artificial lighting and conserving energy. Daylight panels are typically installed on the outside of windows. By applying the proposed fuzzy controller, the reflection angle of daylight panels could be adjusted and optimized so that interior illuminative quality is improved and energy-saving is achieved at the same time. Index Termsdaylight panel, intelligent control, fuzzy control. I.

  2. Intelligibility enhancement of synthetic speech in noise

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility enhancement of synthetic speech in noise C´assia Valentini Botinh~ao TH E U N I V E of a hidden Markov model (HMM-) based speech synthesis system that allows for flexible enhancement strategies with noise-independent enhancement approaches based on the acoustics of highly intelligible speech

  3. Introduction to Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence (G51IAI) Dr Rong Qu Neural Networks #12;G51IAI Introduction to AI Neural Networks Chapter 20 Artificial Intelligence : A Modern Approach (AIMA) Russell Introduction to AI Neural Networks More precisely: Artificial Neural Networks Simulating, on a computer, what

  4. The necessities for building a model to evaluate Business Intelligence projects- Literature Review

    E-Print Network [OSTI]

    Farrokhi, Vahid

    2012-01-01T23:59:59.000Z

    In recent years Business Intelligence (BI) systems have consistently been rated as one of the highest priorities of Information Systems (IS) and business leaders. BI allows firms to apply information for supporting their processes and decisions by combining its capabilities in both of organizational and technical issues. Many of companies are being spent a significant portion of its IT budgets on business intelligence and related technology. Evaluation of BI readiness is vital because it serves two important goals. First, it shows gaps areas where company is not ready to proceed with its BI efforts. By identifying BI readiness gaps, we can avoid wasting time and resources. Second, the evaluation guides us what we need to close the gaps and implement BI with a high probability of success. This paper proposes to present an overview of BI and necessities for evaluation of readiness. Key words: Business intelligence, Evaluation, Success, Readiness

  5. Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computing

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01T23:59:59.000Z

    Bartee, T. , ed. Expert Systems and Artificial Intelligence:Bartee, T. , ed. Expert Systems and Artificial Intelligence:Bartee, T. , ed. Expert Systems and Artificial Intelligence:

  6. Intelligent Efficiency: the Next Generation of Energy Efficiency

    E-Print Network [OSTI]

    Trombley,D.; Molina, M.; Elliot, R. N.

    2012-01-01T23:59:59.000Z

    of buildings, an entire city, or the electric power grid, allow a scaling up of intelligent efficiency, amplifying the benefits by coordinating all systems. Through intelligent efficiency, smart grids, cities, transportation systems, and communications..., there is another aspect of intelligent efficiency that is the key to realizing its potential: intelligent infrastructure. Intelligent efficiency enables more integrated, smarter, and more reliable infrastructure, such as smart power grids, cities...

  7. Intelligent Efficiency: the Next Generation of Energy Efficiency

    E-Print Network [OSTI]

    Trombley,D.; Molina, M.; Elliot, R. N.

    2012-01-01T23:59:59.000Z

    of buildings, an entire city, or the electric power grid, allow a scaling up of intelligent efficiency, amplifying the benefits by coordinating all systems. Through intelligent efficiency, smart grids, cities, transportation systems, and communications..., there is another aspect of intelligent efficiency that is the key to realizing its potential: intelligent infrastructure. Intelligent efficiency enables more integrated, smarter, and more reliable infrastructure, such as smart power grids, cities...

  8. Intelligibility enhancement of synthetic speech in noise

    E-Print Network [OSTI]

    Valentini Botinha?o, Ca?ssia

    2013-11-28T23:59:59.000Z

    , providing the correct information in adverse conditions can be crucial to certain applications. Speech that adapts or reacts to different listening conditions can in turn be more expressive and natural. In this work we focus on enhancing the intelligibility...

  9. Foundations of Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Neural Networks Building Artificial Brains #12;Background Session 2 Software Demonstrations Real World Applications #12;Artificial Neural Networks ... consists to operate. Wiki #12;Relationship between Artificial Neural Networks & the Human Brain Neural networks

  10. Intelligent Transportation Systems Deployment Statistics Database

    E-Print Network [OSTI]

    Intelligent Transportation Systems Deployment Statistics Database Oak Ridge National Laboratory direction. In addition, through the ITS Deployment Tracking web site, the database supports other users in 2010. Users can also download the entire 2010 deployment tracking database through the website

  11. Artificial Intelligence for the Smart Grid

    E-Print Network [OSTI]

    Artificial Intelligence for the Smart Grid NICTA is developing technology to automate costs. The Future Cover more of Smart Grid control (diagnosis, reconfiguration, protection, voltage) products for the Smart Grid. Contact Details: Technical Jussi Rintanen Canberra Research Laboratory Tel

  12. Content Analysis for Proactive Protective Intelligence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.

    2010-12-15T23:59:59.000Z

    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.

  13. Intelligent interface for design and simulation

    SciTech Connect (OSTI)

    Draisin, W.; Peter, E.

    1986-01-01T23:59:59.000Z

    We are developing a system composed of intelligent interfaces, expert systems, and databases that uses artificial intelligence techniques to simplify the use of large simulation codes and to help design complicated physical devices. The simulation codes are used in analyzing and designing weapons, and the devices are themselves parts of weapon systems. From a designer's point of view, the simulation process is the same no matter what is being simulated. In the course of developing two intelligent interfaces for the design of nuclear weapons, we have found that data-driven programming is a useful technique for implementing an open-ended user interface to assist the designer. We discuss the simulation process as it is done now and as it could be done with intelligent interfaces. We then discuss the use of data-driven programming in a database environment to support an interface for an arbitrary number of simulation codes. 3 figs.

  14. BUSINESS INTELLIGENCE AS AN INNOVATIVE COMPUTER TOOL FOR SUPPORTING DECISIONS IN SME

    E-Print Network [OSTI]

    BUSINESS INTELLIGENCE AS AN INNOVATIVE COMPUTER TOOL FOR SUPPORTING DECISIONS IN SME Justyna the model of sustainable development of SME based on using Business Intelligence as an innovative computer Management, Business Intelligence, SME BUSINESS INTELLIGENCE JAKO PRZYKLAD INNOWACYJNEGO NARZDZIA

  15. System design and dynamic signature identification for intelligent energy management in residential buildings.

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01T23:59:59.000Z

    for Intelligent Energy Management in Residential Buildingsfor Intelligent Energy Management in Residential Buildingsthat can provide autonomous energy management to residential

  16. Making Products Active with Intelligent Agents for Supporting PLM Making Products Active with Intelligent Agents for

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Making Products Active with Intelligent Agents for Supporting PLM Making Products Active with Intelligent Agents for Supporting Product Lifecycle Management Martin G. Marchetta1 , Frdrique Mayer2, in order for enterprises to increase their productivity and be more competitive in front of shorter due

  17. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. [Quarterly report], April 1--June 30, 1995

    SciTech Connect (OSTI)

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

    1995-09-01T23:59:59.000Z

    Objective is to apply artificial intelligence and expert systems to capturing, integrating, and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. Goal is to develop a single expert system for use by small producers and independents to efficiently exploit reservoirs.

  18. Instrumentation, Control, and Intelligent Systems

    SciTech Connect (OSTI)

    Not Available

    2005-09-01T23:59:59.000Z

    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 intelligence approach: Topics by E-print Network

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

    ... Brady, Michael 1984-02-01 16 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  20. artificial intelligence approaches: Topics by E-print Network

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

    ... Brady, Michael 1984-02-01 16 An artificial intelligence approach to model-based gas lift troubleshooting Texas A&M University - TxSpace Summary: AN ARTIFICIAL INTELLIGENCE...

  1. Studies in Computational Intelligence GrasSuzukiGuillet

    E-Print Network [OSTI]

    Spagnolo, Filippo

    , cellular automata, self- organizing systems, soft computing, fuzzy systems and hybrid intelligent systems, computer science, physics and life science, as well as the methodologies behind them. The series contains networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence

  2. Binaural model-based speech intelligibility enhancement and assessment in

    E-Print Network [OSTI]

    #12;Binaural model-based speech intelligibility enhancement and assessment in hearing aids beamforming and the effect on binaural cues and speech intelligibility . . . . . . . . . . 31 2.3.4 Cepstral smoothing of masks . . . . . . . . . . . . . . . . . . 35 2.4 Binaural CASA speech

  3. An improved speech transmission index for intelligibility prediction Belinda Schwerin

    E-Print Network [OSTI]

    transmission index; Modulation transfer function; Speech enhancement; Objective evaluation; Speech intelligibility; Short-time modulation spectrum 1. Introduction The enhancement of speech corrupted by noise hasAn improved speech transmission index for intelligibility prediction Belinda Schwerin , Kuldip

  4. Analysis of data virtualization & enterprise data standardization in business intelligence

    E-Print Network [OSTI]

    Pullokkaran, Laijo John

    2013-01-01T23:59:59.000Z

    Business Intelligence is an essential tool used by enterprises for strategic, tactical and operational decision making. Business Intelligence most often needs to correlate data from disparate data sources to derive insights. ...

  5. An Intelligent Threat Prevention Framework with Heterogeneous Information

    E-Print Network [OSTI]

    Liu, Weiru

    An Intelligent Threat Prevention Framework with Heterogeneous Information Wenjun Ma 1 and Weiru Liu 1 Abstract. Three issues usually are associated with threat prevention intelligent surveillance, the de- mand of effectively predicting suspects' intention and ranking the potential threats posed

  6. Intelligent Transportation Systems: Saving Lives, Time and Money Kristin Tufte

    E-Print Network [OSTI]

    Bertini, Robert L.

    Intelligent Transportation Systems: Saving Lives, Time and Money Kristin Tufte Portland State University Oregon Transportation Summit Sept 10, 2010 #12;Intelligent Transportation Systems: Saving Lives, Time and Money Official transportation data archive for the Portland-Vancouver metropolitan region

  7. A Data and Knowledge Management System for Intelligent Buildings

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    This paper describes a novel prototype of lifecycle information management and knowledge utilization of intelligent buildings. There is a comprehensive summary of the types of information and knowledge of intelligent buildings in their lifecycles...

  8. An Information Visualization Approach to Intelligent Building Assessment

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    This paper presents a Knowledge-oriented Information Visualization (KIV) approach to facilitating the implementation of building rating systems such as the Asian Intelligent Building Index (AIIB) for the post-assessment of Intelligent Buildings (IBs...

  9. An Information Visualization Approach to Intelligent Building Assessment

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    This paper presents a Knowledge-oriented Information Visualization (KIV) approach to facilitating the implementation of building rating systems such as the Asian Intelligent Building Index (AIIB) for the post-assessment of Intelligent Buildings (IBs...

  10. Intelligence-policy relations and the problem of politicization

    E-Print Network [OSTI]

    Rovner, Joshua Randall

    2008-01-01T23:59:59.000Z

    A growing literature in international relations theory explores how domestic institutions filter and mediate international signals. The study of intelligence-policy relations fits naturally into this mold, because intelligence ...

  11. On modeling and controlling intelligent systems

    SciTech Connect (OSTI)

    Dress, W.B.

    1993-11-01T23:59:59.000Z

    The aim of this paper is to show how certain diverse and advanced techniques of information processing and system theory might be integrated into a model of an intelligent, complex entity capable of materially enhancing an advanced information management system. To this end, we first examine the notion of intelligence and ask whether a semblance thereof can arise in a system consisting of ensembles of finite-state automata. Our goal is to find a functional model of intelligence in an information-management setting that can be used as a tool. The purpose of this tool is to allow us to create systems of increasing complexity and utility, eventually reaching the goal of an intelligent information management system that provides and anticipates needed data and information. We base our attempt on the ideas of general system theory where the four topics of system identification, modeling, optimization, and control provide the theoretical framework for constructing a complex system that will be capable of interacting with complex systems in the real world. These four key topics are discussed within the purview of cellular automata, neural networks, and evolutionary programming. This is a report of ongoing work, and not yet a success story of a synthetic intelligent system.

  12. Alan Turing and the development of Artificial Intelligence

    E-Print Network [OSTI]

    Muggleton, Stephen H.

    1 Alan Turing and the development of Artificial Intelligence Stephen Muggleton , During the centennial year of his birth Alan Turing (1912-1954) has been widely celebrated as having laid the paper. Keywords: Alan Turing, Artificial Intelligence, Ma- chine Intelligence 1. Introduction

  13. Intelligent Transportation Systems: Saving Lives, Time and Money Kristin Tufte

    E-Print Network [OSTI]

    Bertini, Robert L.

    Intelligent Transportation Systems: Saving Lives, Time and Money Kristin Tufte Portland State University June 23, 2010 #12;Intelligent Transportation Systems: Saving Lives, Time and Money 1,400,000 urban cities 3 counties 1 region #12;Intelligent Transportation Systems: Saving Lives, Time and Money Why Now

  14. Intelligent PID Controllers Michel Fliess and Cedric Join

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Intelligent PID Controllers Michel Fliess and C´edric Join Abstract-- Intelligent PID controllers, or i-PID controllers, are PID controllers where the unknown parts of the plant, which might be highly to more classic PID regulators. Key words-- PID control, intelligent PID controllers, model- free control

  15. American Journal of Applied Sciences 2 (10): 1445-1455, 2005 ISSN 1546-9239

    E-Print Network [OSTI]

    American Journal of Applied Sciences 2 (10): 1445-1455, 2005 ISSN 1546-9239 2005 Science University, Brisbane, Australia 2 Department of Engineering, University of the South Pacific, Suva, Fiji and artificial intelligence. It emerged as an essential and integral part of daily life. The evolving

  16. HOUSING GUARANTEE Apply Online

    E-Print Network [OSTI]

    Mease, Kenneth D.

    THE UCI HOUSING GUARANTEE Apply Online 1 Log in to your MyAdmission account via the tab of Admission fee. 3 Complete the Online Housing Application and pay the $20 non-refundable fee. Freshmen apply for the residence halls. Transfer students apply for Arroyo Vista theme houses and on-campus apartments. Students 25

  17. ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson

    E-Print Network [OSTI]

    VanLehn, Kurt

    ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson Kurt VanLehn Department be called learning from lesson s'equence.~, because the extra information given to the learner is embedded section ,of this article, a variant of learning from lesson sequcnccs will bc discusscd whercm lessons arc

  18. Text Classification for Intelligent Portfolio Management

    E-Print Network [OSTI]

    , earnings summaries, and Beta value (risk) associated with the individual holdings in their stock portfolioText Classification for Intelligent Portfolio Management Young-Woo Seo Joseph Giampapa Katia Sycara management, software agents that eval- uate the risks associated with the individual companies of a portfolio

  19. Managing renewable resources via Collective Intelligence

    E-Print Network [OSTI]

    Boschetti, Fabio

    Managing renewable resources via Collective Intelligence Brede, M., F. Boschetti, and D. Mc.Brede,Fabio.Boschetti,David.Mcdonald]@csiro.au Keywords: ABM, Game Theory, Resource Exploitation, Optimisation. EXTENDED ABSTRACT In a recent set of work, 2001; Wolpert et al, 2004) into resource management modelling. These tools were designed to minimise

  20. Business Intelligence at the University of Minnesota

    E-Print Network [OSTI]

    Thomas, David D.

    staff and approaches Develop quality assurance for each Enterprise System Engage leadership support the quality, accessibility, and use of evidence #12;What is business intelligence? Many different ways of technologies and processes that use data to analyze and understand organizational performance" Most

  1. The Teleface project -disability, feasibility and intelligibility

    E-Print Network [OSTI]

    Beskow, Jonas

    as software running on a PC, or as a dedicated standalone unit (the "Teleface" unit). Other applications, such as Waxholm (Bertenstam et al, 1995) and the Olga system (Beskow, Elenius & McGlashan, 1997). Even-based spoken dialogue system Olga (Beskow et al., 1997). Intelligibility study We have created a database

  2. Intelligent Systems Software for Unmanned Air Vehicles

    E-Print Network [OSTI]

    classes of vehicles including autonomous underwater vehicles, autonomous ground vehicles, and unmanned airIntelligent Systems Software for Unmanned Air Vehicles Gregory L. Sinsley , Lyle N. Long , Albert F describes a software architecture for mission-level control of autonomous unmanned air vehicles (UAVs

  3. Intelligent Planning for Autonomous Underwater Vehicles

    E-Print Network [OSTI]

    Yao, Xin

    such as the Mid-Atlantic Ridge 4 / 10 #12;Autonomous Underwater Vehicles Unmanned, untethered submersibles AutosubIntelligent Planning for Autonomous Underwater Vehicles Zeyn Saigol January 31, 2007 Supervisors Underwater Vehicles Classical planning systems Problem specification Markov Decision Processes 2 / 10 #12

  4. Hindawi Publishing Corporation Advances in Artificial Intelligence

    E-Print Network [OSTI]

    Hexmoor, Henry

    Coulomb's Law Pejman Kamkarian1 and Henry Hexmoor2 1 Electrical and Computer Engineering Department, supervisors can guide people to safety. In this paper, we combine Coulomb's electrical law, graph theoryHindawi Publishing Corporation Advances in Artificial Intelligence Volume 2012, Article ID 340615

  5. Intelligent energy aware networks Y. Audzevich1

    E-Print Network [OSTI]

    Haddadi, Hamed

    energy (solar in this work) more effectively, how to reduce the non- renewable energy consumption companies with attention being #12;Intelligent energy aware networks paid to both ecological and economic aware of the very large growth in energy consumption of telecommunications companies. In particular

  6. Intelligent Data Analysis in Medicine and Pharmacology

    E-Print Network [OSTI]

    Mladenic, Dunja

    Boston/Dordrecht/London #12; Contents Contributing Authors vii 1 Data analysis of patients with severe Nada LavraŸc is a research associate at the Department of Intelligent Systems, J. Stefan Institute, The MIT Press 1989, and Inductive Logic Programming: Techniques and Applications, Ellis Horwood 1994

  7. Recognizing Entailment in Intelligent Tutoring Systems

    E-Print Network [OSTI]

    Palmer, Martha

    Recognizing Entailment in Intelligent Tutoring Systems RODNEY D. NIELSEN1,2 , WAYNE WARD1 and Education Research University of Colorado, Campus Box 594, Boulder, Colorado 80309-0594, USA Rodney, etc. These systems range from Finite State Machines and scripted dialogues (c.f., Pon- Barry, Clark

  8. Developing Geospatial Intelligence Stewardship for Multinational Operations

    E-Print Network [OSTI]

    Thomas, Jeff

    2009-11-18T23:59:59.000Z

    , Directs reachback analysis Improved Situational Awareness/Understanding Greater Common Operational Picture Survey A detailed survey to a broad multinational audience consisting of Joint, Interagency, Intergovernmental, Multinational, Industry...Developing Geospatial Intelligence Stewardship for Multinational Operations Jeff Thomas, BA, MPPA, MS Major, US Army Corps of Engineers Student, Space Operations US Army Command & General Staff College Fort Leavenworth, Kansas GIS Day @ KU Nov 18...

  9. The systems engineering of a network-centric distributed intelligent system of systems for robust human behavior classifications

    E-Print Network [OSTI]

    Goshorn, Deborah Ellen

    2010-01-01T23:59:59.000Z

    Figure 1.4: Artificial Intelligent Systems SolutionFigure 1.7: Artificial Intelligent Systems Solutiongeneralized artificial intelligent systems solution pyramid

  10. Complex Dynamics of Autonomous Communication Networks and the Intelligent Communication Paradigm

    E-Print Network [OSTI]

    Andrei P. Kirilyuk

    2006-03-16T23:59:59.000Z

    Dynamics of arbitrary communication system is analysed as unreduced interaction process. The applied generalised, universally nonperturbative method of effective potential reveals the phenomenon of dynamic multivaluedness of competing system configurations forced to permanently replace each other in a causally random order, which leads to universally defined dynamical chaos, complexity, fractality, self-organisation, and adaptability (physics/9806002, physics/0211071, physics/0405063). We demonstrate the origin of huge, exponentially high efficiency of the unreduced, complex network dynamics and specify the universal symmetry of complexity (physics/0404006) as the fundamental guiding principle for creation and control of such qualitatively new kind of networks and devices. The emerging intelligent communication paradigm and its practical realisation in the form of knowledge-based networks involve the features of true, unreduced intelligence and consciousness (physics/0409140) appearing in complex (multivalued) network dynamics and results.

  11. Applied Computer Science

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

    Science and Innovation Computing CCS Division CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable...

  12. Apply early! Limited enrollment.

    E-Print Network [OSTI]

    volcano. Experience the culture and history of Hawaii, and the impact of human activitiesApply early! Limited enrollment. Environmental Science in the Hawaiian Islands Observe, research

  13. Selecting and Applying Interfacings

    E-Print Network [OSTI]

    2006-05-01T23:59:59.000Z

    Selecting and using interfacing correctly is an important component of garment construction. The various types of interfacing are described and methods of applying them are discussed in detail....

  14. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  15. Smart Grid Impact on Intelligent Buildings

    E-Print Network [OSTI]

    Zimmer, R. J.

    2013-01-01T23:59:59.000Z

    ?segmentation?proportions?similar?to?USA) 4,479,963 503,816 16,221 5,000,000 Total?North?America 11,044,912 1,242,110 39,991 12,327,013 89.6% 10.1% 0.3% 100.0% Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings Definition Demand Response 1 (DR1) ? Existed?for?the?last?15?years...?are?not?necessarily?linked?to? energy?efficiency ? Some?end?users?provide?emergency?DR? e.g.?shorter?notice?and?shorter? intervals,?mostly?automated Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings Definition Demand Response 2 (DR2) ? DR2?is?more?interactive ? Client...

  16. First Annual Conference on Intelligence Analysis Methods and Tools, May 2005 PNNL-SA-44274 Top Ten Needs for Intelligence Analysis Tool Development

    E-Print Network [OSTI]

    First Annual Conference on Intelligence Analysis Methods and Tools, May 2005 PNNL-SA-44274 Top Ten Needs for Intelligence Analysis Tool Development Richard V. Badalamente and Frank L. Greitzer Battelle implications for intelligence analysis software tool develop- ment. 1. Introduction and Background Intelligence

  17. 7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13

    E-Print Network [OSTI]

    Keil, David M.

    the relation between distributed artificial intelligence and self- organized systems D. Keil Artificial7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13 David M. Keil, Framingham State University CSCI 400 Artificial Intelligence 7

  18. Generalized Intelligent States for Nonlinear Oscillators

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13T23:59:59.000Z

    The construction of Generalized Intelligent States (GIS) for the $x^4$% -anharmonic oscillator is presented. These GIS families are required to minimize the Robertson-Schr\\"odinger uncertainty relation. As a particular case, we will get the so-called Gazeau-Klauder coherent states. The properties of the latters are discussed in detail. Analytical representation is also considered and its advantage is shown in obtaining the GIS in an analytical way. Further extensions are finally proposed.

  19. Neural Network Based Intelligent Sootblowing System

    SciTech Connect (OSTI)

    Mark Rhode

    2005-04-01T23:59:59.000Z

    Cost effective generation of electricity is vital to the economic growth and stability of this nation. To accomplish this goal a balanced portfolio of fuel sources must be maintained and established which not only addresses the cost of conversion of these energy sources to electricity, but also does so in an efficient and environmentally sound manner. Conversion of coal as an energy source to produce steam for a variety of systems has been a cornerstone of modern industry. However, the use of coal in combustion systems has traditionally produced unacceptable levels of gaseous and particulate emissions, albeit that recent combustion, removal and mitigation techniques have drastically reduced these levels. With the combustion of coal there is always the formation and deposition of ash and slag within the boilers. This adversely affects the rate at which heat is transferred to the working fluid, which in the case of electric generators is water/steam. The fouling of the boiler leads to poor efficiencies due to the fact that heat which could normally be transferred to the working fluid remains in the flue gas stream and exits to the environment without beneficial use. This loss in efficiency translates to higher consumption of fuel for equivalent levels of electric generation; hence more gaseous emissions are also produced. Another less obvious problem exists with fouling of various sections of the boiler creating intense peak temperatures within and around the combustion zone. Total nitrogen oxides (NOx) generation is primarily a function of both ''fuel'' and ''thermal'' NOx production. Fuel NOx which generally comprises 20%-40% of the total NOx generated is predominantly influenced by the levels of oxygen present, while thermal NOx which comprises the balance is a function of temperature. As the fouling of the boiler increases and the rate of heat transfer decreases, peak temperatures increase as does the thermal NOx production. Due to the composition of coal, particulate matter is also a by-product of coal combustion. Modern day utility boilers are usually fitted with electrostatic precipitators to aid in the collection of particulate matter. Although extremely efficient, these devices are sensitive to rapid changes in inlet mass concentration as well as total mass loading. Traditionally, utility boilers are equipped with devices known as sootblowers, which use, steam, water or air to dislodge and clean the surfaces within the boiler and are operated based upon established rule or operator's judgment. Poor sootblowing regimes can influence particulate mass loading to the electrostatic precipitators. The project applied a neural network intelligent sootblowing system in conjunction with state-of-the-art controls and instruments to optimize the operation of a utility boiler and systematically control boiler slagging/fouling. This optimization process targeted reduction of NOx of 30%, improved efficiency of 2% and a reduction in opacity of 5%. The neural network system proved to be a non-invasive system which can readily be adapted to virtually any utility boiler. Specific conclusions from this neural network application are listed below. These conclusions should be used in conjunction with the specific details provided in the technical discussions of this report to develop a thorough understanding of the process.

  20. artificial intelligence conference: Topics by E-print Network

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

    of the Japanese Society for Artificial Intelligence, 2005 Aggregation Pheromone System and Its Cycle model Computer Technologies and Information Sciences Websites Summary:...

  1. applications artificial intelligence: Topics by E-print Network

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

    16 (2003) 237250 Hierarchical decision making for proactive quality control: system Materials Science Websites Summary: by resorting to artificial intelligence and...

  2. artificial intelligence systems: Topics by E-print Network

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

    particular Casillas Barranquero, Jorge 7 Intelligent Agents for an Artificial Market System Nikos Karacapilidis Computer Technologies and Information Sciences Websites Summary:...

  3. Integrated intelligent systems in advanced reactor control rooms

    SciTech Connect (OSTI)

    Beckmeyer, R.R.

    1989-01-01T23:59:59.000Z

    An intelligent, reactor control room, information system is designed to be an integral part of an advanced control room and will assist the reactor operator's decision making process by continuously monitoring the current plant state and providing recommended operator actions to improve that state. This intelligent system is an integral part of, as well as an extension to, the plant protection and control systems. This paper describes the interaction of several functional components (intelligent information data display, technical specifications monitoring, and dynamic procedures) of the overall system and the artificial intelligence laboratory environment assembled for testing the prototype. 10 refs., 5 figs.

  4. artificial intelligence research: Topics by E-print Network

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

    represent our observations such as "one's blood type is AB Sato, Taisuke 118 Journal of Artificial Intelligence Research 33 (2008) 3377 Submitted 0907; published 0908 ICE: An...

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

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

    1993-07-23T23:59:59.000Z

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

  6. artificial intelligence technologies: Topics by E-print Network

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

    significant foresight. We argue that there is much that can be inferred Su, Sara 169 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  7. artificial intelligence technology: Topics by E-print Network

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

    significant foresight. We argue that there is much that can be inferred Su, Sara 169 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  8. artificial intelligence application: Topics by E-print Network

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

    Schuster, New York, 1986. 9 Allen Newell and Herbert A. Simon Ricci, Francesco 171 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  9. artificial intelligence applications: Topics by E-print Network

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

    Schuster, New York, 1986. 9 Allen Newell and Herbert A. Simon Ricci, Francesco 171 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  10. artificial intelligence environment: Topics by E-print Network

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

    requires creative imagination and marks real advance in science. Marcus Hutter 154 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  11. Methodology, Metrics and Measures for Testing and Evaluation of Intelligence Analysis Tools

    E-Print Network [OSTI]

    Tools Frank L. Greitzer March, 2005 Pacific Northwest Division Battelle Memorial Institute #12;FL and Measures for Testing and Evaluation of Intelligence Analysis Tools 1. Introduction The intelligence

  12. Essays in applied microeconomics

    E-Print Network [OSTI]

    Aron-Dine, Aviva

    2012-01-01T23:59:59.000Z

    This dissertation consists of three chapters on topics in applied microeconomics. In the first chapter. I investigate whether voters are more likely to support additional spending on local public services when they perceive ...

  13. Engineering and Applied

    E-Print Network [OSTI]

    Stowell, Michael

    > Computer Science > Electrical, Computer, and Energy Engineering > Mechanical Engineering 11, Computational Science and Engineering, Energy Systems and Environmental Sustainability, Materials ScienceCollege of Engineering and Applied Science Contact Robert H. Davis, Engineering Dean 303

  14. Applying for Research Awards

    E-Print Network [OSTI]

    ... 53.22 KB APPLYING FOR RESEARCH AWARDS The Eastern Bird Banding Association seeks applicants for its annual $500 research awards in aid of research using banding techniques or bird banding data. ...

  15. Applied Intelligence 21, 231232, 2004 c 2004 Kluwer Academic Publishers. Manufactured in The United States.

    E-Print Network [OSTI]

    Pal, Sankar Kumar

    , for generating more efficient hybrid systems that can be classified as soft computing methodologies. Here papers were finally selected which address various methodologies, systems and applications. The purpose is to provide flexible information processing systems that can exploit the tolerance

  16. Total Facility Control - Applying New Intelligent Technologies to Energy Efficient Green Buildings

    E-Print Network [OSTI]

    Bernstein, R.

    2010-01-01T23:59:59.000Z

    protocols standards like ISO/IEC 14908 have been developed specifically for this purpose. They incorporate all control communication layers into one common structure and are easily and cost effectively implemented in each device. The ISO/IEC 14908... continues to enhance the interoperability guidelines and provides a forum for organizations to develop and adopt interoperable controls using ISO/IEC 14908. Energy Efficiency ? Driving Smart Controls Energy efficiency, energy conservation, and energy...

  17. Applied Intelligence 18, 725, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Pal, Sankar Kumar

    'importance.Theweightsmaybekept #12;8 Ghosh, Ghosh and Pal constant or varying during the operation of GAs. The effectiveness for Genetic Algorithms is introduced where the fitness value of an individual is determined by considering its coefficients for quantifying the importance to be given to the fitness of the individual and its ancestors

  18. Applied Intelligence 13, 259264, 2000 c 2000 Kluwer Academic Publishers. Manufactured in The Netherlands.

    E-Print Network [OSTI]

    Covington, Michael A.

    Problem Consider the following rules for controlling an air conditioner: (1) Run the air conditioner when the temperature is over 78 . (2) Do not run the air conditioner when the AC line voltage is low, unless) Never run the air conditioner if it was turned off less than 4 minutes ago (to protect the compressor

  19. Information Science, Computing, Applied Math

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

    Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science and...

  20. artificial intelligence system: Topics by E-print Network

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

    artificial intelligence system First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Artificial Intelligence...

  1. Advances in Reinforcement Learning and Their Implications for Intelligent Control

    E-Print Network [OSTI]

    Sutton, Richard S.

    models that are complete and accurate [ShaSO]. If control depends upon a domain model, it must sufficeAdvances in Reinforcement Learning and Their Implications for Intelligent Control Steven D. Whitehead*, Richard S. Suttoni and Dana H. Ballard* 1 Introduction What is an intelligent control system

  2. Enterprise Modeling for Business Intelligence Daniele Barone1

    E-Print Network [OSTI]

    Toronto, University of

    Enterprise Modeling for Business Intelligence Daniele Barone1 , Eric Yu2 , Jihyun Won3 , Lei Jiang1. In this paper, we present a vision for BI that is driven by enterprise modeling. The Busi- ness Intelligence Model (BIM) aims to enable business users to conceptu- alize business operations and strategies

  3. Intelligence Through Interaction: Towards a Unified Theory for Learning

    E-Print Network [OSTI]

    Tan, Ah-Hwee

    model, the learning paradigms encompassed, and the various types of knowledge learned. 1 IntroductionIntelligence Through Interaction: Towards a Unified Theory for Learning Ah-Hwee Tan1 , Gail A,steve@cns.bu.edu Abstract. Machine learning, a cornerstone of intelligent systems, has typically been studied in the context

  4. Managing a Relational Database with Intelligent Agents Ira Rudowsky1

    E-Print Network [OSTI]

    Rudowsky, Ira

    Managing a Relational Database with Intelligent Agents Ira Rudowsky1 , Olga Kulyba1 , Mikhail Kunin quality for search and retrieval. An intelligent agent was designed using JACKTM (Agent Oriented Software in genomic studies, which could impact data analysis and further research [9, 10]. A number of software tools

  5. Minerva: An Artificial Intelligent System for Composition of Museums

    E-Print Network [OSTI]

    Amigoni, Francesco

    Minerva: An Artificial Intelligent System for Composition of Museums Francesco Amigoni, Viola. In this paper, we present a novel artificial in- telligence system, called Minerva, devoted to support one: computers and robots. The purpose of this paper is to present a novel system of artificial intelligence

  6. Intelligent Predictive Control Methods for Synchronous Power System

    E-Print Network [OSTI]

    Rizvi, Syed Z.

    Intelligent Predictive Control Methods for Synchronous Power System Muhammad S. Yousuf Electrical with the control of the system in case of perturbations. Optimal control theory for stabilizing SMIB power systems@kfupm.edu.sa Abstract--In this paper, an intelligent Model Predictive Con- troller (MPC) for a Synchronous Power Machine

  7. Intelligent Storage Consortium A Center of the Institute of Technology

    E-Print Network [OSTI]

    Minnesota, University of

    Intelligent Storage Consortium A Center of the Institute of Technology MEMBERSHIP ADVANTAGES I opportunities MISSION Explores pre-competitive development of intelligent object-based storage systems I, and public sector I OBJECTS INTERCONNECT STORAGE DEVICE BLOCKS FILE SYSTEM FILE SYSTEM USER COMPONENT FILE

  8. Grid Load Balancing Using Intelligent Agents Junwei Cao1

    E-Print Network [OSTI]

    Jarvis, Stephen

    - 1 - Grid Load Balancing Using Intelligent Agents Junwei Cao1 , Daniel P. Spooner* , Stephen A for grid computing. The management and scheduling of dynamic grid resources in a scalable way requires new technologies to implement a next generation intelligent grid environment. This work demonstrates that AI

  9. Intelligent Grid Technologies - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpin andInterimInvoking anyIntelligent Coatings

  10. Intelligent Rail Networks | GE Global Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpin andInterimInvoking anyIntelligent

  11. Intelligent Wind Turbine Program - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpin andInterimInvoking anyIntelligentChangingWind

  12. LE BULLETIN DE L'EPI N 49 INTELLIGENCE ARTIFICIELLE EN LOGO Un programme d'intelligence artificielle en LOGO

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    198 LE BULLETIN DE L'EPI N 49 INTELLIGENCE ARTIFICIELLE EN LOGO Un programme d'intelligence artificielle en LOGO LE PROBLME DES HUIT REINES Michel DUPONT 1. PRSENTATION Certains avantages du LOGO sont. Il est mme ainsi possible de crer des sur-langages adapts des domaines particuliers. Mais LOGO

  13. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

    FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

  14. Applied Microbiology and Biotechnology

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    1 23 Applied Microbiology and Biotechnology ISSN 0175-7598 Appl Microbiol Biotechnol DOI 10.1007/s-Cohen #12;1 23 Your article is protected by copyright and all rights are held exclusively by Springer in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version

  15. Summary D. Keil Artificial Intelligence 7/13 David M. Keil

    E-Print Network [OSTI]

    Keil, David M.

    raised by artificial cognitive systems Special Topics: Artificial Intelligence 9. Summary 7/13 6D. KeilSummary D. Keil Artificial Intelligence 7/13 David M. Keil Framingham State University CSCI 300 Artificial Intelligence 1Special Topics: Artificial Intelligence 9. Summary 7/13D. Keil Summary Multi

  16. A Framework for the Systematic Collection of Open Source Intelligence Dr. Line C. Pouchard

    E-Print Network [OSTI]

    Pouchard, Line

    for the purpose of addressing a specific intelligence requirement." [109th Congress, 2006] OSINT is content

  17. Intelligent Software Agents: Sensor Integration and Response

    SciTech Connect (OSTI)

    Kulesz, James J [ORNL; Lee, Ronald W [ORNL

    2013-01-01T23:59:59.000Z

    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.

  18. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05T23:59:59.000Z

    The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.

  19. International Conference of Territorial Intelligence of Alba Iulia 2006 (CAENTI) | http://www.territorial-intelligence.eu halshs-00531461,version1-30Jun2014

    E-Print Network [OSTI]

    Boyer, Edmond

    PROCEEDINGS OF CAENTI AETERNITAS PUBLISHING HOUSE ALBA IULIA International Conference of Territorial Intelligence: Alba-Iulia, 2006: proceedings of CAENTI - Coordination Action of the European NetworkInternational Conference of Territorial Intelligence of Alba Iulia 2006 (CAENTI) | http

  20. Artificial Intelligence and The Many Faces of Reason

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01T23:59:59.000Z

    I shall focus this discussion on one small thread in the increasingly complex weave of Artificial Intelligence and Philosophy of Mind: the attempt to explain how rational thought is mechanically possible. This is, historically, ...

  1. A Rob otLaboratoryforTeachingArtiflcialIntelligence / Deepak Kumar

    E-Print Network [OSTI]

    Kumar, Deepak

    A Rob otLaboratoryforTeachingArtiflcialIntelligence / Deepak Kumar Department ofMathematics Bryn Ma tasks.Inthelaboratory,studentsbuildtheirown robots and programthem toaccomplishthetasks.By con thestudyofAI centersaroundhow besttoimplement thismappingfromperceptionstoactions.The robot perspective

  2. advanced ground intelligent: Topics by E-print Network

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

    ... Hearn, Robert A. 2004-06-16 8 FlexRAM: Toward an Advanced Intelligent Memory System Computer Technologies and Information Sciences Websites Summary: FlexRAM: Toward an...

  3. Intelligent Cruise Control design based on a traffic flow specification

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01T23:59:59.000Z

    The principal objectives of the Automated Highway graphics. System (AHS), an Intelligent Transportation System (ITS) technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control...

  4. ARKTOS: An intelligent system for SAR sea ice image classification

    E-Print Network [OSTI]

    Soh, L. K.; Tsatsoulis, Costas; Gineris, D.; Bertoia, C.

    2004-01-01T23:59:59.000Z

    We present an intelligent system for satellite sea ice image analysis named Advanced Reasoning using Knowledge for T ping Of Sea ice (ARKTOS). ARKTOS performs fully automated analysis of synthetic aperture radar (SAR) sea ice images by mimicking...

  5. A Casebase of Intelligent Buildings for E-learning Systems

    E-Print Network [OSTI]

    Chen, Z.; Clements-Croome, D. J.; Ozkan, G.; Hong, J.; Xu, Z.

    2006-01-01T23:59:59.000Z

    and acceptability of the knowledge base, which is designed according to a standard classification of intelligent buildings and a generic knowledge format to regulate case collection and reuse in teaching and learning. This paper initially covers undetermined issues...

  6. autonomous intelligent cruise control: Topics by E-print Network

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

    technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control... Huandra, Rusli 1998-01-01 5 An Intelligent...

  7. Causal and Communal Factors in a Comprehensive Test of Intelligence

    E-Print Network [OSTI]

    Schweizer, Paul

    2010-01-01T23:59:59.000Z

    The paper traces a pathway through the existing space of argumentation surrounding the original Turing Test (TT) and the discipline of Strong Artificial Intelligence that followed on from Turings work, and extends this ...

  8. artificial intelligence: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  9. artificial intelligence melbourne: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  10. artificial intelligence algorithm: Topics by E-print Network

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

    London, WC1H 0AP, U.K. E-mail: A.Blandford@ucl.ac Paris-Sud XI, Universit de 162 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  11. artificial intelligence mrida: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  12. artificial intelligence techinques: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  13. artificial intelligence canberra: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  14. artificial intelligence adelaide: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  15. artificial intelligence europe: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  16. artificial intelligence planning: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 161 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  17. artificial intelligence epia: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  18. artificial intelligence tokyo: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  19. artificial intelligence sistema: Topics by E-print Network

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

    10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 141 Alan Turing and the development of Artificial Intelligence Computer Technologies and...

  20. Intelligent Cruise Control design based on a traffic flow specification

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01T23:59:59.000Z

    The principal objectives of the Automated Highway graphics. System (AHS), an Intelligent Transportation System (ITS) technology, are to increase the safety and through-put of the existing highway by traffic automation. Advanced Vehicle Control...

  1. The Intelligent Combination of Input Shaping and PID Feedback Control

    E-Print Network [OSTI]

    Singhose, William

    The Intelligent Combination of Input Shaping and PID Feedback Control A Dissertation Presented Combination of Input Shaping and PID Feedback Control Approved by: Dr. William Singhose, Advisor School . . . . . . . . . . . . . . . . . . . . 8 1.4 PID Feedback Control . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.5 Comparison

  2. Is emotional intelligence worthwhile?: Assessing incremental validity and adverse impact

    E-Print Network [OSTI]

    Rhodes, Dana Lanay

    2009-05-15T23:59:59.000Z

    wellknown predictors of performance, namely the Big Five personality traits and cognitive ability. Furthermore, no theory directly specifies the roles of separate emotional intelligence (EI) dimensions in relationship to job performance. This paper offers...

  3. Cloud Computing for Service Intelligence | GE Global Research

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

    Cloud Computing for Service Intelligence 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...

  4. Intelligent energy management agent for a parallel hybrid vehicle

    E-Print Network [OSTI]

    Won, Jong-Seob

    2004-09-30T23:59:59.000Z

    This dissertation proposes an Intelligent Energy Management Agent (IEMA) for parallel hybrid vehicles. A key concept adopted in the development of an IEMA is based on the premise that driving environment would affect fuel ...

  5. Integrating automobile multiple intelligent warning systems : performance and policy implications

    E-Print Network [OSTI]

    Ho, Angela Wei Ling

    2006-01-01T23:59:59.000Z

    Intelligent driver warning systems can be found in many high-end vehicles on the road today, which will likely rapidly increase as they become standard equipment. However, introducing multiple warning systems into vehicles ...

  6. A Review of Quantitative Approaches to Intelligent Building Assessment

    E-Print Network [OSTI]

    Chen, Z.; Clements-Croome, D. J.; Hong, J.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    such as Architecture, Engineering, Environment, Economics, Management, and Sociology. The 6 IB rating systems include the AIIB method developed by the Asian Institute of Intelligent Buildings (AIIB), Hong Kong, China; the BRE method developed by the Building Research...

  7. M. D. Lemmon and P. J. Antsaklis, "Towards a Working Characterization of "Intelligent" Supervisory Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-

    E-Print Network [OSTI]

    Antsaklis, Panos

    Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS Characterization of "Intelligent" Supervisory Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS- 93-007, Univ of Notre Dame, November 1993. #12;M. D. Lemmon and P. J

  8. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16T23:59:59.000Z

    GeoComputational Intelligence and High-performance Geospatial Computing Qingfeng (Gene) Guan, Ph.D Center for Advanced Land Management Information Technologies School of Natural Resources University of Nebraska - Lincoln GIS Day @ University... of Kansas Nov. 16th, 2011 Contents 1. Computational Science and GeoComputation 2. GeoComputational Intelligence - ANN-based Urban-CA model 3. High-performance Geospatial Computing - Parallel Geostatistical Areal Interpolation - pRPL and pSLEUTH 4. Conclusion...

  9. The international status of intelligence-collecting reconnaissance satellites

    E-Print Network [OSTI]

    Gates, Brent Allen

    1972-01-01T23:59:59.000Z

    THE INTERNATIONAL STATUS OF INTELLIGENCE- COLLECTING RECONNAISSANCE SATELLITES A Thesis by BRENT ALLEN GATES Submitted to the Graduate College of Texas ASH University in partial fulfillment of the requirement for the degree of i~STER OF ARTS...) (Member) (Member) May 1972 ABSTRACT The International Status of Intelligence-Collecting Reconnaissance Satellites. (Nay 1972) Brent Allen Gates, B. A. , University of Naryland. Directed by: Dr. Paul Van Riper Reconnaissance satellites are examined...

  10. An intelligent filter for an educational virtual laboratory

    E-Print Network [OSTI]

    Sanchez, Sandra Patricia

    2001-01-01T23:59:59.000Z

    AN INTELLIGENT FILTER FOR AN EDUCATIONAL VIRTUAL LABORATORY A Thesis by SANDRA PATRICIA SANCHEZ Submitted to the Office of Graduate Studies of Texas ARM University m partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... May 2001 Major Sublect: Computer Science AN INTELLIGENT FILTER FOR AN EDUCATIONAL VIRTUAL LASORATORY A Thesis by SANDRA PATRICIA SANCHEZ Submttted to Texas ARM Untversity in partial fulfillment of the requtrements for the degree of MASTER...

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

    DOE Patents [OSTI]

    Goldsmith, Steven Y.

    2004-06-22T23:59:59.000Z

    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.

  12. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean and Academic Director, Information Technology and Management Programs: C. Robert Carlson Director of Operations

  13. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean Technology and Management Programs: Mazin Safar Director, Marketing & Development: Scott Pfeiffer Director

  14. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. January 1, 1996--March 31, 1996

    SciTech Connect (OSTI)

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

    1996-05-01T23:59:59.000Z

    The basis of this research is to apply novel techniques from artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs. The main challenge of the proposed research is to automate the generation of detailed reservoir descriptions honoring all the available ``software`` and ``hardware`` data that ranges from qualitative and semi-quantitative geological interpretations to numeric data obtained from cores, well tests, well logs and production statistics. In this sense, the proposed research project is truly multidisciplinary. It involves significant amount of information exchange between researchers in geology, geostatistics, and petroleum engineering. Computer science (and artificial intelligence) provides the means to effectively acquire, integrate and automate the key expertise in the various disciplines in a reservoir characterization expert system. Additional challenges are the verification and validation of the expert system, since much of the interpretation of the experts is based on extended experience in reservoir characterization. Accomplishments to date are discussed.

  15. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

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

    2001-11-14T23:59:59.000Z

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

  16. Simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

    Ewing, T.; Doss, E.; Hanebutte, U.; Tentner, A.

    1996-10-01T23:59:59.000Z

    A simulation framework has been developed for a large-scale, comprehensive, scaleable simulation of an Intelligent Transportation System (ITS). The simulator is designed for running on parallel computers and distributed (networked) computer systems, but can run on standalone workstations for smaller simulations. The simulator currently models instrumented smart vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide two-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. Realistic modeling of variations of the posted driving speed are based on human factors studies that take into consideration weather, road conditions, driver personality and behavior, and vehicle type. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on parallel computers, such as ANL`s IBM SP-2, for large-scale problems. A novel feature of the approach is that vehicles are represented by autonomous computer processes which exchange messages with other processes. The vehicles have a behavior model which governs route selection and driving behavior, and can react to external traffic events much like real vehicles. With this approach, the simulation is scaleable to take advantage of emerging massively parallel processor (MPP) systems.

  17. Advanced simulation of intelligent transportation systems

    SciTech Connect (OSTI)

    Ewing, T.; Doss, E.; Hanebutte, U.; Tentner, A. [Argonne National Lab., IL (United States)

    1996-11-01T23:59:59.000Z

    A large-scale, comprehensive, scaleable simulation of an Intelligent Transportation System (ITS) has been developed which is capable of running on parallel computers and distributed (networked) computer systems. The simulator currently models instrumented {open_quotes}smart{close_quotes} vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide two-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on parallel computers, such as ANL`s IBM SP-2, for large-scale problems. A novel feature of this approach is that vehicles are represented by autonomous computer processes which exchange messages with other processes. The vehicles have a behavior model which governs route selection and driving behavior, and can react to external traffic events much like real vehicles. With this approach, the simulation is scaleable to take advantage of emerging massively parallel processor (MPP) systems.

  18. Large-scale Intelligent Transporation Systems simulation

    SciTech Connect (OSTI)

    Ewing, T.; Canfield, T.; Hannebutte, U.; Levine, D.; Tentner, A.

    1995-06-01T23:59:59.000Z

    A prototype computer system has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS) capable of running on massively parallel computers and distributed (networked) computer systems. The prototype includes the modelling of instrumented ``smart`` vehicles with in-vehicle navigation units capable of optimal route planning and Traffic Management Centers (TMC). The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide 2-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces to support human-factors studies. The prototype has been developed on a distributed system of networked UNIX computers but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of our design is that vehicles will be represented by autonomus computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.

  19. Intelligent, self-contained robotic hand

    DOE Patents [OSTI]

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

    2007-01-30T23:59:59.000Z

    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.

  20. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    problems 20 2.3.1 Classes 20 2.3.2 Types of classi cation problems 20 2.3.3 Learning and test sets 21 2Applied inductive learning Louis Wehenkel University of Li`ege Faculty of Applied Sciences Course;#12;APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li#12;ege

  1. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    .3.2 Types of classification problems 20 2.3.3 Learning and test sets 21 2.3.4 Decision or classificationApplied inductive learning Louis Wehenkel University of Li??ege Faculty of Applied Sciences Course??e'' #12; #12; APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li

  2. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922933 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration 2004 British Ecological Society, Journal of Applied Ecology, 41

  3. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960970 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines 2002 British Ecological Society, Journal of Applied Ecology

  4. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

    Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42

  5. Intelligent Office Lighting: Demand-Responsive Conditioning and Increased User Satisfaction

    E-Print Network [OSTI]

    Agogino, Alice M.

    Intelligent Office Lighting: Demand-Responsive Conditioning and Increased User Satisfaction Jessica diagram decision framework is used to optimize demand responsive actuation decisions, resulting with retrofitting. Keywords: Daylighting, energy efficiency, influence diagrams, intelligence, demand response, user

  6. 17 The Intelligent Welding Gun: Augmented Reality for Experimental Vehicle Construction

    E-Print Network [OSTI]

    Bruegge, Bernd

    17 The Intelligent Welding Gun: Augmented Reality for Experimental Vehicle Construction Florian presents the prototypical design and implementation of an Intelligent Welding Gun to help welders welding scenario and the identified system requirements is followed by a thorough exploration

  7. Faculty Expertise Index Advanced Artificial Intelligence, Technology, & Control Systems Development for Biological &

    E-Print Network [OSTI]

    Amin, S. Massoud

    Faculty Expertise Index Advanced Artificial Intelligence, Technology, & Control Systems Development-Paul Schirle-Keller Food Additives Artificial Sweeteners Ted Labuza Food Analysis Chromatographic Processing (see Phytochemicals, Advanced Artificial Intelligence) Canning Technology Ted Labuza Cheese

  8. Design and Applications of an Intelligent Financial Reporting and Auditing Agent with Net Knowledge (FRAANK)

    E-Print Network [OSTI]

    Srivastava, Rajendra P.; Bovee, Matthew; Kogan, Alexander; Nelson, Kay; Vasarhelyi, Miklos A.

    2002-01-01T23:59:59.000Z

    This paper discusses the use of intelligent Internet agents as essential tools for automating financial analysis functions in the virtual world. Several important characteristic features of intelligent agents are discussed, ...

  9. Knowledge for Intelligent Industrial Robots A. Bjorkelund, J. Malec, K. Nilsson, P. Nugues

    E-Print Network [OSTI]

    Malec, Jacek

    Knowledge for Intelligent Industrial Robots A. Bjorkelund, J. Malec, K. Nilsson, P. Nugues Dept intelligence to industrial robotics and automation systems. We develop an architecture to integrate disparate

  10. Computational Intelligence in Telecommunications Networks, W. Pedrycz and A.V. Vasilakos (Eds.), CRC Press, 2000

    E-Print Network [OSTI]

    Kansas, University of

    , network management, mobile agents, intelligent interface agents, swarm intelligence, ants, network management architecture, network diagnosis, network traffic control and routing, network mobility platform Information and Telecommunication Technology Center (ITTC) Department of Electrical Engineering and Computer

  11. Predicting Academic Achievement: The Role Of Parenting, Nonverbal Intelligence, and Goal Orientation in Turkish Children

    E-Print Network [OSTI]

    Korkmaz, Ummugulsum

    2014-07-25T23:59:59.000Z

    The purpose of this research is to examine parenting, child goal orientation, and child nonverbal intelligence as predictors of academic achievement among fifth grade Turkish children. The influence of intelligence, parenting style, and goal...

  12. Intelligent Sensor Management in Nuclear Searches and Radiological Surveys A.V. Klimenko1

    E-Print Network [OSTI]

    Tanner, Herbert G.

    Intelligent Sensor Management in Nuclear Searches and Radiological Surveys A.V. Klimenko1 , W developed intelligent sensor management strategies for nuclear search and radiological surveys positives. RADIATION FIELD MODEL The present approach to the radiological survey and nuclear search

  13. British intelligence and threats to national security, c.1941-1951

    E-Print Network [OSTI]

    Walton, James Calder

    2007-02-13T23:59:59.000Z

    Andrew and David Dilks (eds.), The Missing Dimension: Governments and Intelligence Communities in the Twentieth Century, (London, 1984). Recent works which overlook intelligence include Peter Clarke's otherwise outstanding, Hope and Glory: Britain 1900... aftermath; also see the forthcoming PhD. dissertation on British military intelligence during the First World War by Mr. Kieran West (pembroke College, Cambridge). The standard literature on British intelligence at the outbreak of the First World War...

  14. Special Session Title: Intelligent Vehicle Systems Special session objectives and topics

    E-Print Network [OSTI]

    Lu, Yi

    to provide a host of intelligent devices in cars that can be used in airbag control, unwelcome intrusion

  15. iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks Yu-aware capability of WSN to achieve energy conservation in intelligent buildings is an attractive direction. We therefore propose an intelligent and personalized energy-conservation system by wireless sensor networks (i

  16. Artificial Intelligence 58 (1992) 3-20 3 The logic of

    E-Print Network [OSTI]

    Mackworth, Alan K.

    Artificial Intelligence 58 (1992) 3-20 3 Elsevier ARTINT 948 The logic of satisfaction constraint, Canada V6T 1W5 Abstract Mackworth, A.K., The logic of constraint satisfaction, Artificial Intelligence 58 Artificial Intelligence and related areas. The finite CSP (FCSP) framework is presented here as a restricted

  17. Quick start guide for IBM Cognos 8 Business Intelligence online trial

    E-Print Network [OSTI]

    Quick start guide for IBM Cognos 8 Business Intelligence online trial IBM Cognos 8 Business Intelligence comes with a "Quick Tour" and a "Getting Started Guide". It is recommended that you take Cognos 8 Business Intelligence" in the "Getting Started Guide". The "IBM Cognos Connection" is the portal

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

    SciTech Connect (OSTI)

    Harber, K.S. (ed.)

    1991-09-01T23:59:59.000Z

    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)

  19. Combining perceptually-motivated spectral shaping with loudness and duration modification for intelligibility enhancement of

    E-Print Network [OSTI]

    Edinburgh, University of

    for intelligibility enhancement of HMM-based synthetic speech in noise Cassia Valentini-Botinhao1 , Junichi Yamagishi1-in-noise intelligibility enhancement evaluation: the Hurricane Challenge. The sys- tem consists of a Text-To-Speech voice, this means speech intelligibility enhancement in which clean speech is modified so the subsequent mixture

  20. An Evaluation of Objective Quality Measures for Speech Intelligibility Cees H. Taal1

    E-Print Network [OSTI]

    -coder, residual noise and speech distortion in a speech enhancement scheme or an intelligibility improvementAn Evaluation of Objective Quality Measures for Speech Intelligibility Prediction Cees H. Taal1 the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise

  1. ON MUTUAL INFORMATION AS A MEASURE OF SPEECH INTELLIGIBILITY Jalal Taghia, Rainer Martin

    E-Print Network [OSTI]

    -- Intelligibility prediction, mutual information, speech enhancement 1. INTRODUCTION Speech enhancement algorithmsON MUTUAL INFORMATION AS A MEASURE OF SPEECH INTELLIGIBILITY Jalal Taghia, Rainer Martin Ruhr, The Netherlands {R.C.Hendriks}@tudelft.nl ABSTRACT Speech intelligibility prediction of noisy and processed noisy

  2. Intelligent Transportation Systems: Saving Lives, Time and Money Portland State University

    E-Print Network [OSTI]

    Bertini, Robert L.

    Intelligent Transportation Systems: Saving Lives, Time and Money Portland State University Oct 14, 2009 #12;Intelligent Transportation Systems: Saving Lives, Time and Money James Whiteneck #12;Intelligent Transportation Systems: Saving Lives, Time and Money Portal archives a large amount of data Over

  3. 1Intelligent Transportation Systems: Saving Lives, Time and Money PORTAL Advisory Committee

    E-Print Network [OSTI]

    Bertini, Robert L.

    1Intelligent Transportation Systems: Saving Lives, Time and Money PORTAL Advisory Committee Initial Meeting January 22, 2009 #12;2Intelligent Transportation Systems: Saving Lives, Time and Money Agenda 9:00 Adjourn #12;3Intelligent Transportation Systems: Saving Lives, Time and Money What's in the PORTAL

  4. Emerald Article: SOFTWARE FEATURES FOR INTELLIGENT INDUSTRIAL ROBOTS P. CORTI, G. GINI, M. GINI

    E-Print Network [OSTI]

    Gini, Giuseppina

    Kybernetes Emerald Article: SOFTWARE FEATURES FOR INTELLIGENT INDUSTRIAL ROBOTS P. CORTI, G. GINI FEATURES FOR INTELLIGENT INDUSTRIAL ROBOTS", Kybern Iss: 2 pp. 149 - 154 Permanent link to this document of download. #12;SOFTWARE FEATURES FOR INTELLIGENT INDUSTRIAL ROBOTS P. CORTI, G. GINI and M. GINI Istituto di

  5. A Brief Tutorial On Recursive Estimation With Examples From Intelligent Vehicle

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    A Brief Tutorial On Recursive Estimation With Examples From Intelligent Vehicle Applications (Part intelligent vehicle applications. In this article, we focus rather on a "local" issue, i.e. the system model estimation, state, system model, Kalman filter (KF), intelligent vehicles 1 Introduction This article follows

  6. ABSTRACT / RESUME conomic Intelligence (EI) is a concept that is the

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    1 ABSTRACT / RESUME conomic Intelligence (EI) is a concept that is the subject of multiple of EI, as completed in "The Economic Intelligence: guide for beginners and practitioners - Programme, and then into knowledge and then into intelligence" [2]. The coordination actions are commonly admitted by EI

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

    SciTech Connect (OSTI)

    Gonder, J.

    2011-11-01T23:59:59.000Z

    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.

  8. Cultural intelligence support for military operations

    SciTech Connect (OSTI)

    Guthormsen, Amy M. [Los Alamos National Laboratory; MacKerrow, Edward P [Los Alamos National Laboratory; Merritt, Terence M [Los Alamos National Laboratory; Morgart, Ruth E [INTERNATIONAL ATOMIC ENERGY

    2010-04-08T23:59:59.000Z

    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.

  9. Argonne simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

    Ewing, T.; Doss, E.; Hanebutte, U.; Canfield, T.; Brown-VanHoozer, A.; Tentner, A.

    1996-04-01T23:59:59.000Z

    A simulation framework has been developed which defines a high-level architecture for a large-scale, comprehensive, scalable simulation of an Intelligent Transportation System (ITS). The simulator is designed to run on parallel computers and distributed (networked) computer systems; however, a version for a stand alone workstation is also available. The ITS simulator includes an Expert Driver Model (EDM) of instrumented ``smart`` vehicles with in-vehicle navigation units. The EDM is capable of performing optimal route planning and communicating with Traffic Management Centers (TMC). A dynamic road map data base is sued for optimum route planning, where the data is updated periodically to reflect any changes in road or weather conditions. The TMC has probe vehicle tracking capabilities (display position and attributes of instrumented vehicles), and can provide 2-way interaction with traffic to provide advisories and link times. Both the in-vehicle navigation module and the TMC feature detailed graphical user interfaces that includes human-factors studies to support safety and operational research. Realistic modeling of variations of the posted driving speed are based on human factor studies that take into consideration weather, road conditions, driver`s personality and behavior and vehicle type. The simulator has been developed on a distributed system of networked UNIX computers, but is designed to run on ANL`s IBM SP-X parallel computer system for large scale problems. A novel feature of the developed simulator is that vehicles will be represented by autonomous computer processes, each with a behavior model which performs independent route selection and reacts to external traffic events much like real vehicles. Vehicle processes interact with each other and with ITS components by exchanging messages. With this approach, one will be able to take advantage of emerging massively parallel processor (MPP) systems.

  10. Generalized Intelligent States for an Arbitrary Quantum System

    E-Print Network [OSTI]

    A. H. EL Kinani; M. Daoud

    2003-11-06T23:59:59.000Z

    Generalized Intelligent States (coherent and squeezed states) are derived for an arbitrary quantum system by using the minimization of the so-called Robertson-Schr\\"odinger uncertainty relation. The Fock-Bargmann representation is also considered. As a direct illustration of our construction, the P\\"oschl-Teller potentials of trigonometric type will be shosen. We will show the advantage of the Fock-Bargmann representation in obtaining the generalized intelligent states in an analytical way. Many properties of these states are studied.

  11. Intelligent energy management agent for a parallel hybrid vehicle

    E-Print Network [OSTI]

    Won, Jong-Seob

    2004-09-30T23:59:59.000Z

    INTELLIGENT ENERGY MANAGEMENT AGENT FOR A PARALLEL HYBRID VEHICLE A Dissertation by JONG-SEOB WON Submitted to the O ce of Graduate Studies of Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR OF PHILOSOPHY May... 2003 Major Subject: Mechanical Engineering INTELLIGENT ENERGY MANAGEMENT AGENT FOR A PARALLEL HYBRID VEHICLE A Dissertation by JONG-SEOB WON Submitted to Texas A&M University in partial ful llment of the requirements for the degree of DOCTOR...

  12. Intelligent Placement of Datacenters for Internet Services I~nigo Goiri, Kien Le, Jordi Guitart, Jordi Torres, and Ricardo Bianchini

    E-Print Network [OSTI]

    Bianchini, Ricardo

    and chiller-less datacenters. Among other interesting results, we demonstrate that the intelligent placement

  13. Journal of Intelligent Material Systems and Structures

    E-Print Network [OSTI]

    Pan, Ernie

    by a magnetic field or vice versa. These materials are promising for wide engineering applica- tions, like composite can be induced by an applied magnetic potential. It means that a finite magnetoelectric of magnetoelectric coefficients. Pure magnetic and combined magneticmechanical loads are analyzed. The meshless

  14. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    and collaborative technology-based support for the proposed Innovation Center and the Entrepreneurship Academy. We research centersCNR, CPI, and CSP. Establish a food safety and processing technology hub/incubator/innovationSCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan

  15. A Logic of Emotions for Intelligent Agents Bas R. Steunebrink

    E-Print Network [OSTI]

    Dastani, Mehdi

    A Logic of Emotions for Intelligent Agents Bas R. Steunebrink Department of ICS Utrecht University Utrecht, The Netherlands bass@cs.uu.nl Mehdi Dastani Department of ICS Utrecht University Utrecht, The Netherlands mehdi@cs.uu.nl John-Jules Ch. Meyer Department of ICS Utrecht University Utrecht, The Netherlands

  16. AUTOMATIC RECONSTRUCTION OF LARGE-SCALE VIRTUAL ENVIRONMENT FOR INTELLIGENT

    E-Print Network [OSTI]

    Tokyo, University of

    SYSTEMS SIMULATION Khairil Azmi, Shintaro Ono, Masataka Kagesawa, Katsushi Ikeuchi Institute of Industrial important applications in ITS (Intelligent Transportation Systems). This paper introduces an automatic simulations have been thought of being one of its major application areas. The development of tools

  17. An Introduction to Computational Intelligence Techniques for Robot Control

    E-Print Network [OSTI]

    Bullinaria, John

    : The application of computational intelligence techniques to the field of industrial robot control is discussed involved, with particular reference to existing applications of these techniques in industrial robotics in real time to update that model. Often, particularly for industrial robots, the model is used off

  18. Building Intelligent Environments By Adding Smart Artifacts to Spaces

    E-Print Network [OSTI]

    Loke, Seng W. - Loke, Seng W.

    Building Intelligent Environments By Adding Smart Artifacts to Spaces: a Peer-to-Peer Architecture collections of smart artifacts, each artifact with an embedded processor, networking and sensing capabilities. The interactive capabilities of the environment are due to the collective working of the smart artifacts

  19. Alan Turing and the development of Artificial Intelligence

    E-Print Network [OSTI]

    Muggleton, Stephen H.

    Alan Turing and the development of Artificial Intelligence Stephen Muggleton Department of the early work of Alan Turing which pre-dated his paper in Mind [42]. 1.1 Early work of Computing, Imperial College London December 19, 2012 Abstract During the centennial year of his birth Alan

  20. MULTICRITERIA CONTROL SYSTEM DESIGN USING AN INTELLIGENT EVOLUTION STRATEGY WITH

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    MULTICRITERIA CONTROL SYSTEM DESIGN USING AN INTELLIGENT EVOLUTION STRATEGY WITH DYNAMICAL a multivariable controller design methodology which is based on the solution of the multiobjective optimization (hard and soft), and to achieve the good approximation of the complete trade??ooe set between the design

  1. Intelligent and Adaptive Crawling of Web Applications for Web Archiving

    E-Print Network [OSTI]

    Senellart, Pierre

    Intelligent and Adaptive Crawling of Web Applications for Web Archiving Muhammad Faheem1 and Pierre Kong, Hong Kong firstname.lastname@telecom.paristech.fr Abstract. Web sites are dynamic in nature with content and structure changing overtime. Many pages on the Web are produced by content management systems

  2. The Semantic Web: Collective Intelligence on the Web

    E-Print Network [OSTI]

    Staab, Steffen

    The Semantic Web: Collective Intelligence on the Web Maciej Janik, Ansgar Scherp, and Steffen Staab lastname@uni-koblenz.de Institute for Web Science and Technologies, WeST University of Koblenz-Landau Abstract. The World Wide Web has turned hypertext into a success story by enabling world-wide sharing

  3. Safety and Liveness in Intelligent Intersections Hemant Kowshik1

    E-Print Network [OSTI]

    of designing intelligent intersections where traffic lights and stop signs are removed, and cars negotiate intersections are representative of complex distributed hybrid systems which need architectures and algorithms with provable safety and liveness. We propose a hybrid architecture which involves an appropriate inter- play

  4. Risk management in concurrent engineering in presence of intelligent agents

    E-Print Network [OSTI]

    Fox, Mark S.

    Risk management in concurrent engineering in presence of intelligent agents Taner Bilgi describe how a specific facet of systems engineering (risks) can be managed for large, concurrent with risks. Risk management has three stages to it: 1. Risk assessment 2. Risk analysis 3. Risk handling Risk

  5. Foundations of Artificial Intelligence Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to Data Mining #12;Data Mining Objectives Introduce a range of data mining techniques used in AI systems including : Neural networks Decision trees ... Present some real life data mining applications. Student should gain the knowledge on how

  6. Introduction to Artificial Intelligence An Introduction to Data Mining

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence G51IAI An Introduction to Data Mining #12; Introduce a range of data mining techniques used in AI systems including : Neural networks Decision trees ... Present some real life data mining applications. 2 Learning Objectives Dr Rong Qu G51IAI Data Mining #12

  7. Business Intelligence: The Next Frontier for Information Systems Research?

    E-Print Network [OSTI]

    Polz, Martin

    Business Intelligence: The Next Frontier for Information Systems Research? Panel at WITS-20011 1) (http://www.busi.mun.ca/parsons/wits2001/), held New Orleans, LA, USA, Dec. 15-16, 2001, in conjunction not appear in Proceedings, due to lack of space. Abraham Bernstein NYU ­ Stern School of Business 44 West 4th

  8. Business Intelligence: The Next Frontier for Information Systems Research?

    E-Print Network [OSTI]

    Polz, Martin

    Business Intelligence: The Next Frontier for Information Systems Research? Panel at WITS­2001 1 1) (http://www.busi.mun.ca/parsons/wits2001/), held New Orleans, LA, USA, Dec. 15­16, 2001, in conjunction not appear in Proceedings, due to lack of space. Abraham Bernstein NYU -- Stern School of Business 44 West 4

  9. To appear, Artificial Intelligence, 1995 Abduction as Belief Revision

    E-Print Network [OSTI]

    Boutilier, Craig

    To appear, Artificial Intelligence, 1995 Abduction as Belief Revision Craig Boutilier and Ver, V6T 1Z4 email: cebly@cs.ubc.ca, becher@cs.ubc.ca Abstract We propose a model of abduction based the generality of our approach, we reconstruct two of the key paradigms for model-based diagnosis, abductive

  10. Artificial intelligence based on Darwin's idea By Mark Baard

    E-Print Network [OSTI]

    Bongard, Josh

    Artificial intelligence based on Darwin's idea By Mark Baard January 31, 2011 PROTOTYPES, his robots' artificial brains evolved not in isolation, but in conjunction with their changing bodies yielding. The result is a grip that is firm enough to lift a fragile object, but which requires none

  11. A Data and Knowledge Management System for Intelligent Buildings

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01T23:59:59.000Z

    words: Intelligent building; Assessment; Methodology; Information system 1. INTRODUCTION It is the development and application of modern technologies in the areas of information, communication, materials, and machinery in the construction.... According to our literature review [12], key technologies that support IBs include sustainable architecture, building structure control, building facility control, computer and network, information and communication, safety and security control...

  12. Drexel University Autonomous Systems Lab Intelligent Near-Earth UAVs

    E-Print Network [OSTI]

    Oh, Paul

    that the current DOD inventory of airborne intelligence platforms or programmed procurement of additional assets of Amtrak 30th Street Station, Philadelphia Fixed vs. mobile camera Single vs. multiple view Human vs FoldDucts Stack Fold to Fit in HMMWV Bedto Fit in HMMWV Bed 112 lb Weight Empty (2 X Man Lift)112 lb

  13. Intelligent Best Practices Analysis Shahab D. Mohaghegh, Ph.D.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Methodology for the Identification of Best Practices in the Oil & Gas Industry, Using Intelligent Systems be used in business and engineering decision making. Many companies in the oil and gas industry have been or the surface facilities to non-technical data such as those related to economics or human resources issues. Now

  14. Towards an Intelligent system for managing Historical Archive Documents

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

    Towards an Intelligent system for managing Historical Archive Documents Akrivi Katifori-ontology expert users exploring ontologies. The study of the possibilities of supporting user document and task management by using a personal ontology. The implementation and evaluation of an algorithm using

  15. A Hybrid Model and MIMO Control for Intelligent Buildings Temperature

    E-Print Network [OSTI]

    Boyer, Edmond

    A Hybrid Model and MIMO Control for Intelligent Buildings Temperature Regulation over WSN Emmanuel is to propose a model-based feedback control strategy for indoor temperature regulation in buildings equipped. In order to set a model-based Fig. 1. UFAD ventilation control approach, we first investigate

  16. Intelligent Command and Control Agent in Electronic Warfare Settings

    E-Print Network [OSTI]

    Noh, Sanguk

    Intelligent Command and Control Agent in Electronic Warfare Settings Sanguk Noh,1, Unseob Jeong2, 1?cation, and the selection of alternative countermeasures against threats in electronic warfare settings. We introduce in simulated electronic warfare settings. C 2010 Wiley Periodicals, Inc. 1. INTRODUCTION To counter

  17. Intelligent Management of Misbehaving Nodes In Wireless Sensor Networks

    E-Print Network [OSTI]

    Gesbert, David

    Intelligent Management of Misbehaving Nodes In Wireless Sensor Networks Using Blackhole@eurecom.fr Abstract--Misbehaving nodes in wireless sensor networks and ad hoc networks often disrupt the operation delivery and erroneous data outputs for wireless sensor networks. Existing literatures have addressed

  18. CPI'2009 Fs, Maroc Intelligence Golocalise MObile & COMmunicante

    E-Print Network [OSTI]

    Boyer, Edmond

    CPI'2009 ­ Fès, Maroc IGMoCom Intelligence Géolocalisée MObile & COMmunicante Frédéric Chaxel Internationale Conception et Production Integrées (CPI'2009), Fès : Maroc (2009)" #12;2 CPI'2009 2. Contexte Un

  19. Algorithm and intelligent tutoring system design for ladder logic programming

    E-Print Network [OSTI]

    Cheng, Yuan-Teng

    2009-05-15T23:59:59.000Z

    knowledge. The problem here is how to design a web-based system that is intelligent and adaptive enough to teach the students domain knowledge in Programmable Logic Controller (PLC). In my research, I proposed a system architecture which combines the pre...

  20. Computation Migration based on Mobile IP and Intelligent Agent Techniques

    E-Print Network [OSTI]

    Zhang, Runtong

    Page 1 Computation Migration based on Mobile IP and Intelligent Agent Techniques Runtong Zhang, Dongmei Zhang, Zhigang Kan and Jian Ma Advanced Internet Technology, Nokia (China) R&D Center No. 11, He is to investigate the use of mobile agents in the platform of mobile IPv6, to provide adapted services to mobile

  1. Shahab D. Mohaghegh West Virginia University & Intelligent Solutions, Inc.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    significantly increased. Operations such as asset evaluation, 3-D and 4-D seismic data interpretation, complex in the industry toward smart wells, intelligent fields and real-time analysis and interpretation of large amounts multi-lateral drilling design and implementation, log interpretation, the building of geologic models

  2. CORSICA, ISLAND HERITAGE AND REGIONAL IDENTITY: TOWARDS TERRITORIAL INTELLIGENCE.

    E-Print Network [OSTI]

    , a Mediterranean and European area, so it is rich of a historical and cultural heritage consequent on a territoryCORSICA, ISLAND HERITAGE AND REGIONAL IDENTITY: TOWARDS TERRITORIAL INTELLIGENCE. Marie Michle of the heritage in a widened meaning and to position them in a logic of a mutualisation without borders

  3. PNWD-SA-6893 Instrumenting the Intelligence Analysis Process

    E-Print Network [OSTI]

    Lean, VA, USA Battelle Memorial Institute #12;Instrumenting the Intelligence Analysis Process Ernest Hampson Battelle, Colonial Place Operations 2111 Wilson Blvd., Suite 1000 Arlington, VA 22201 hampsone@battelle.org Paula Cowley Battelle, Pacific Northwest Division 3350 Q Avenue, K7-22 Richland, WA 99352 paula

  4. The Director's Lens: An Intelligent Assistant for Virtual Cinematography

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    .1 [Multimedia Information Systems]: Animations, Video General Terms Algorithms, Human Factors Keywords Virtual-generated animations, the task of crafting virtual camera work and edits for a sequence of 3D animation remains a timeThe Director's Lens: An Intelligent Assistant for Virtual Cinematography Christophe Lino IRISA

  5. Attention Based, Naive Strategies, for Guiding Intelligent Virtual Agents

    E-Print Network [OSTI]

    Corran, Ruth

    communication be- tween the components Several studies have demonstrated that human's feelings towards virtualAttention Based, Naive Strategies, for Guiding Intelligent Virtual Agents Damien Clauzel1 , Claudia). It is composed of speech, animations, expressions and other actions. Any action in the script may be assigned

  6. 3D PRINTING FOR INTELLIGENT METALLIC STRUCTURES M. Strantza1

    E-Print Network [OSTI]

    Boyer, Edmond

    3D PRINTING FOR INTELLIGENT METALLIC STRUCTURES M. Strantza1 , D. De Baere2 , M. Rombouts3 , SSHM system is produced by 3D printing or additive manufacturing. Additive Manufacturing (AM) is a "process to enable its implementation. This work demonstrates the feasibility study of eSHM systems produced by 3D

  7. Cost-Constrained Data Acquisition for Intelligent Data Preparation

    E-Print Network [OSTI]

    Wu, Xindong

    Cost-Constrained Data Acquisition for Intelligent Data Preparation Xingquan Zhu, Member, IEEE to the significant cost of doing so and the inherent correlations in the data set, acquiring correct information attribute costs and the relevance of each attribute to the target concept, so that the data acquisition can

  8. Intelligent Matchmaking for Polar Ice Sheet Data Collection and Delivery

    E-Print Network [OSTI]

    Kansas, University of

    of intelligent radars integrated into robotic vehicles. They autonomously decide where and how to measure to map near- surface layers. These sensors are integrated into two vehicles; an autonomous robotic Abstract-- The PRISM (Polar Radar for Ice Sheet Measurement) project is developing mobile, autonomous

  9. A Survey on Trust Management for Intelligent Transportation System

    E-Print Network [OSTI]

    Wolfson, Ouri E.

    A Survey on Trust Management for Intelligent Transportation System Shuo Ma, Ouri Wolfson Department@uic.edu ABSTRACT Trust management is a fundamental and critical aspect of any serious application in ITS. However, only a few studies have addressed this important problem. In this paper, we present a survey on trust

  10. INTELLIGENT ILLICIT OBJECT DETECTION SYSTEM FOR ENHANCED AVIATION SECURITY

    E-Print Network [OSTI]

    Blumenstein, Michael

    INTELLIGENT ILLICIT OBJECT DETECTION SYSTEM FOR ENHANCED AVIATION SECURITY Vallipuram for detecting illicit objects in hand luggage. 1. INTRODUCTION Increased security in the aftermath of the 9 sophisticated such that it is extremely difficult to detect possible threats of terrorism without severely

  11. DISTRIBUTED OPTIMIZATION AND CONTROL OF OFFSHORE OIL PRODUCTION: THE INTELLIGENT

    E-Print Network [OSTI]

    Foss, Bjarne A.

    DISTRIBUTED OPTIMIZATION AND CONTROL OF OFFSHORE OIL PRODUCTION: THE INTELLIGENT PLATFORM Michael R to distributed optimization and control of offshore oil production systems. The model incorporates a complex pipeline network. Oil and gas production systems are represented as a network of connected hierarchical

  12. INTRODUCTION In order to allow intelligent power control and

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

    requirements in smart grid by secur- ing the information on single customer data, incentive plans, and other of Attribute Based Encryption (ABE) for smart grid communication scenarios. In particular, we focusINTRODUCTION In order to allow intelligent power control and monitoring, the concept of smart grid

  13. Declarative & Procedural Goals in Intelligent Agent Systems Michael Winikoff

    E-Print Network [OSTI]

    Padgham, Lin

    Science and Information Technology RMIT University Melbourne, Australia. winikoff@cs.rmit.edu.au LinDeclarative & Procedural Goals in Intelligent Agent Systems Michael Winikoff School of Computer is that of goals (Winikoff et al., 2001). Goals have two aspects: declarative, where a goal is a description

  14. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Lynch, Nancy

    Computer Science and Artificial Intelligence Laboratory Technical Report massachusetts institute these are translated to executable code. Formal system specifications and their behavior analysis are valuable tools that should be at the disposal of the software developers, especially when dealing with systems exhibiting

  15. Department of Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    , computational mathematics, discrete applied mathematics, and stochas- tics. More detailed descriptions of Philosophy in Collegiate Mathematics Education (joint program with the Department of Mathematics and Science Education) Research Facilities The department provides students with office space equipped with computers

  16. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  17. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

  18. Sustainable FACULTY OF APPLIED SCIENCE

    E-Print Network [OSTI]

    Michelson, David G.

    Working Together Towards a Sustainable Energy Future FACULTY OF APPLIED SCIENCE Clean Energy aspects of sustainable energy solutions, and is committed to using its extensive expertise to serve, Electrical & Computer, Materials, Mechanical, Mining), the School of Architecture & Landscape Architecture

  19. 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

    2004-12-26T23:59:59.000Z

    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, improvement was made on the performance of in-fiber grating fabricated in single crystal sapphire fibers, test was performed on the grating performance of single crystal sapphire fiber with new fabrication methods, and the fabricated grating was applied to high temperature sensor. Under Task 2, models obtained from 3-D modeling of the Demonstration Boiler were used to study relationships between temperature and NOx, as the multi-dimensionality of such systems are most comparable with real-life boiler systems. 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.

  20. Potential impacts of artificial intelligence expert systems on geothermal well drilling costs:

    SciTech Connect (OSTI)

    Satrape, J.V.

    1987-11-24T23:59:59.000Z

    The Geothermal research Program of the US Department of Energy (DOE) has as one of its goals to reduce the cost of drilling geothermal wells by 25 percent. To attain this goal, DOE continuously evaluates new technologies to determine their potential in contributing to the Program. One such technology is artifical intelligence (AI), a branch of computer science that, in recent years, has begun to impact the marketplace in a number of fields. Expert systems techniques can (and in some cases, already have) been applied to develop computer-based ''advisors'' to assist drilling personnel in areas such as designing mud systems, casing plans, and cement programs, optimizing drill bit selection and bottom hole asssembly (BHA) design, and alleviating lost circulation, stuck pipe, fishing, and cement problems. Intelligent machines with sensor and/or robotic directly linked to AI systems, have potential applications in areas of bit control, rig hydraulics, pipe handling, and pipe inspection. Using a well costing spreadsheet, the potential savings that could be attributed to each of these systems was calculated for three base cases: a dry steam well at The Geysers, a medium-depth Imerial Valley well, and a deep Imperial Valley well. Based on the average potential savings to be realized, expert systems for handling lost circulations problems and for BHA design are the most likely to produce significant results. Automated bit control and rig hydraulics also exhibit high potential savings, but these savings are extremely sensitive to the assumptions of improved drilling efficiency and the cost of these sytems at the rig. 50 refs., 19 figs., 17 tabs.

  1. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  2. 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

  3. CX-010574: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Applied Materials - Kerf-less Crystaline-Silicon Photovoltaic: Gas to Modules CX(s) Applied: B3.6 Date: 05162013 Location(s): California,...

  4. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  5. applying measured reflection: Topics by E-print Network

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

    Websites Summary: , Rochester Institute of Technology, Rochester, NY, USA b Raytheon Intelligence and Information Systems in the analysis of hyperspectral and...

  6. An artificial neural network controller for intelligent transportation systems applications

    SciTech Connect (OSTI)

    Vitela, J.E.; Hanebutte, U.R.; Reifman, J. [Argonne National Lab., IL (United States). Reactor Analysis Div.

    1996-04-01T23:59:59.000Z

    An Autonomous Intelligent Cruise Control (AICC) has been designed using a feedforward artificial neural network, as an example for utilizing artificial neural networks for nonlinear control problems arising in intelligent transportation systems applications. The AICC is based on a simple nonlinear model of the vehicle dynamics. A Neural Network Controller (NNC) code developed at Argonne National Laboratory to control discrete dynamical systems was used for this purpose. In order to test the NNC, an AICC-simulator containing graphical displays was developed for a system of two vehicles driving in a single lane. Two simulation cases are shown, one involving a lead vehicle with constant velocity and the other a lead vehicle with varying acceleration. More realistic vehicle dynamic models will be considered in future work.

  7. A Framework for the Systematic Collection of Open Source Intelligence

    SciTech Connect (OSTI)

    Pouchard, Line Catherine [ORNL] [ORNL; Trien, Joseph P [ORNL] [ORNL; Dobson, Jonathan D [ORNL] [ORNL

    2009-01-01T23:59:59.000Z

    Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique system for selecting, collecting and storing Open Source data from the Web and the Open Source Center. Some data management tasks are automated, document source is retained, and metadata containing geographical coordinates are added to the documents. Analysts are thus empowered to search, view, store, and analyze Web data within a single tool. We present ORCAT I and ORCAT II, two implementations of the system.

  8. Intentionality, Artificial Intelligence and the Causal Powers of the Brain

    E-Print Network [OSTI]

    Whitmer, Jeffrey M.

    Intentionality, Artificial Intelligence and the Causal Powers of the Brain Jeffrey M. Whitmer Northern Illinois University It seems to be a common belief that in the future, if not in the present, digital computers are going to be capable... of cognitive states, experiences, and con sciousness equal in every respect to that which exists in human beings. 1 Not everyone, however, is so optimistic. One such skeptic is John Searle and his "Minds, Brains, and Programs" 2 represents a direct con...

  9. 1Energy Metabolism Laboratory Intelligent Design of the Exercise Drug

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    underlies risk for metabolic disease (e.g. Type-2 Diabetes). #12;5Energy Metabolism Laboratory H H OH OH CH21Energy Metabolism Laboratory H H OH OH CH2OH H OH OH H Intelligent Design of the Exercise Drug;2Energy Metabolism Laboratory H H OH OH CH2OH H OH OH H Lab Mission Statement To understand how physical

  10. 1.212J / ESD.221J An Introduction to Intelligent Transportation Systems, Spring 2003

    E-Print Network [OSTI]

    Sussman, Joseph

    Basic elements of intelligent transportation systems. Technological, systems, and institutional aspects of ITS considered, including system architecture, congestion pricing, public/private partnerships, network models, ITS ...

  11. Issue 4 Michaelmas 2005 www.bluesci.org Artificial Intelligence Obesity

    E-Print Network [OSTI]

    Cambridge, University of

    Issue 4 Michaelmas 2005 www.bluesci.org Artificial Intelligence Obesity Women In Science.............................................................................. Fat Of The Land Helen Stimpson weighs up the evidence for the `obesity epidemic

  12. The 14th UK Workshop on Computational Intelligence UKCI 2014 Important Dates

    E-Print Network [OSTI]

    Leeds, University of

    processing; New and emerging computational intelligence approaches from hybrid learning and systems, healthcare, finances, (cyber)security, big data. Papers: All submissions will be peer-reviewed; accepted

  13. Intelligent Fleet Logistics IFL is developing technologies to helping freight, logistics

    E-Print Network [OSTI]

    Heiser, Gernot

    Intelligent Fleet Logistics IFL is developing technologies to helping freight, logistics in logistics and supply chain management. We are seeking customers and financial partners to scale a stand

  14. Performance Metrics for Intelligent Systems Workshop March 20-22, 2012

    E-Print Network [OSTI]

    Perkins, Richard A.

    ) - Intelligent Systems and Robots for Hazardous Environments (e.g. nuclear remediation) - Smart Grid - Space Representation, World Models, Ontologies - Planning and Control - Learning, Adapting and Reasoning General Chair

  15. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377384 2006 The Authors. Journal compilation 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  16. APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING

    E-Print Network [OSTI]

    Rogina, Mladen

    APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING Brijuni, Croatia June 23{27, 2003. y x Runge's example; Organized by: Department of Mathematics, Unversity of Zagreb, Croatia. Miljenko Maru#20;si#19;c, chairman;simir Veseli#19;c Andro Mikeli#19;c Sponsors: Ministry of Science and Technology, Croatia, CV Sistemi d

  17. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

    1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

  18. California Energy Commission Apply Today!

    E-Print Network [OSTI]

    including HVAC and thermal energy storage system upgrades, stadium light conversion and a microturbineCalifornia Energy Commission Apply Today! "The College implemented all of the recommended projects Programs Office (916) 654-4147 pubprog@energy.state.ca.us "CEC financing allowed us to install many

  19. implementing bioenergy applied research & development

    E-Print Network [OSTI]

    Northern British Columbia, University of

    1 A Northern Centre for Renewable Energy implementing bioenergy applied research & development to develop local solutions to these challenges by integrating campus operations, education, and research will help the University meet its current and future energy needs, reduce or eliminate our greenhouse gas

  20. Intelligent trigger processor for the crystal box

    SciTech Connect (OSTI)

    Sanders, G.H.; Butler, H.S.; Cooper, M.D.

    1981-01-01T23:59:59.000Z

    A large solid angle modular NaI(Tl) detector with 432 phototubes and 88 trigger scintillators is being used to search simultaneously for three lepton flavor changing decays of muon. A beam of up to 10/sup 6/ muons stopping per second with a 6% duty factor would yield up to 1000 triggers per second from random triple coincidences. A reduction of the trigger rate to 10 Hz is required from a hardwired primary trigger processor described in this paper. Further reduction to < 1 Hz is achieved by a microprocessor based secondary trigger processor. The primary trigger hardware imposes voter coincidence logic, stringent timing requirements, and a non-adjacency requirement in the trigger scintillators defined by hardwired circuits. Sophisticated geometric requirements are imposed by a PROM-based matrix logic, and energy and vector-momentum cuts are imposed by a hardwired processor using LSI flash ADC's and digital arithmetic loci. The secondary trigger employs four satellite microprocessors to do a sparse data scan, multiplex the data acquisition channels and apply additional event filtering.

  1. Is The Emotional Intelligence Of Secondary School Principals Correlated With The Job Satisfaction Or Performance Of Their Teachers?

    E-Print Network [OSTI]

    Cobbs, Ryan Eugene

    2012-95-31T23:59:59.000Z

    ABSTRACT This study examines the association between secondary school administrators' emotional intelligence (EI) and teacher job satisfaction. Two separate questions guided the study. First, does the emotional intelligence of secondary school...

  2. P. J. Antsaklis, M. D. Lemmon and J. A. Stiver, "Learning to be Autonomous: Intelligent Supervisory Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-

    E-Print Network [OSTI]

    Antsaklis, Panos

    Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS- 93 of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS- 93-003, Univ of Notre Dame

  3. P.J. Antsaklis, J.A. Stiver, X. Yang, C.J. Bett, and M.D. Lemmon , "Supervisory Hybrid Control Systems in Intelligent Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent

    E-Print Network [OSTI]

    Antsaklis, Panos

    Systems in Intelligent Control," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-95-008, Univ of Notre Dame, September 1995. #12;P.J. Antsaklis, J.A. Stiver, X," Technical Report of the ISIS (Interdisciplinary Studies of Intelligent Systems) Group, No. ISIS-95-008, Univ

  4. Dr. Hong Huang's Research Grants "iCREDITS: interdisciplinary Center of Research Excellence in Design of Intelligent

    E-Print Network [OSTI]

    Johnson, Eric E.

    in Design of Intelligent Technologies for Smartgrids," $5,000,000, Co-PI, NSF, 2014-2019. "Towards

  5. Prognostic Models in Medicine: Arti cial-intelligence and Decision-analytic approaches

    E-Print Network [OSTI]

    Lucas, Peter

    decision making Scienti#12;c progress in Medicine is made at an annu- ally increasing pace throughPrognostic Models in Medicine: Arti#12;cial-intelligence and Decision-analytic approaches Peter on Prognostic Models in Medicine: Arti#12;- cial Intelligence and Decision-analytic Approaches held during AIMDM

  6. Methodologies for PVC Configuration in Heterogeneous ATM Environments Using Intelligent Mobile Agents

    E-Print Network [OSTI]

    White, Tony

    Methodologies for PVC Configuration in Heterogeneous ATM Environments Using Intelligent Mobile; Methodologies for PVC Configuration in Heterogeneous ATM Environments Using Intelligent Mobile Agents John Boyer by individual ATM switch vendors has created an environment where there is no uniform method for PVC

  7. PWM CONTROL INTELLIGENT H-BRIDGE SLIS068A NOVEMBER1998 REVISED APRIL 2002

    E-Print Network [OSTI]

    Chang, B. C.

    TPIC0108B PWM CONTROL INTELLIGENT H-BRIDGE SLIS068A NOVEMBER1998 REVISED APRIL 2002 1POST Trigger Inputs for High Noise Immunity description The TPIC0108B is a PWM control intelligent H-bridge in critical applications of Texas Instruments semiconductor products and disclaimers thereto appears

  8. Use of intelligent pigs to detect stress corrosion cracking in gas pipelines

    SciTech Connect (OSTI)

    Culbertson, D.L. [Tenneco Energy, Houston, TX (United States)

    1996-08-01T23:59:59.000Z

    To ensure the integrity and serviceability of gas pipelines, operators periodically utilize intelligent pigging. This inspection technique has proven to be a cost effective approach for determining the condition of operating pipelines. Recent advancements in intelligent pigging technology are now aiding the pipeline industry in the detection of stress corrosion cracking.

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

    SciTech Connect (OSTI)

    Scholtz, Jean; Endert, Alexander N.

    2014-08-01T23:59:59.000Z

    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.

  10. INTEGRATION OF AUDIO/VISUAL INFORMATION FOR USE IN HUMANCOMPUTER INTELLIGENT INTERACTION

    E-Print Network [OSTI]

    Pavlovic, Vladimir

    INTEGRATION OF AUDIO/VISUAL INFORMATION FOR USE IN HUMAN­COMPUTER INTELLIGENT INTERACTION Vladimir,berry,huangg@ifp.uiuc.edu ABSTRACT Human­computer intelligent interaction (HCII) in virtual environments is a rapidly developing modes of human­computer communication. By using auditory and visual features at different levels

  11. The NASA Program Management Tool: A New Vision in Business Intelligence

    E-Print Network [OSTI]

    Maluf, David A.

    life cycle costs; accessing convenient aggregated views; automatically creating Earned Value Management1 The NASA Program Management Tool: A New Vision in Business Intelligence David G. Bell dbell describes a novel approach to business intelligence and program management for large technology enterprises

  12. Single and MultiObjective Airfoil Design Using Genetic Algorithms and Artificial Intelligence

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    Single and MultiObjective Airfoil Design Using Genetic Algorithms and Artificial Intelligence A operating point, the minimum drag and constant lift tar gets are achieved through either a scalarized through Artificial Intelligence. A multilayer perceptron is trained using already eval uated individuals

  13. Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral coefficients to

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility enhancement of HMM-generated speech in additive noise by modifying Mel cepstral intelligibility enhancement for hidden Markov model (HMM) generated synthetic speech in noise. We present a method , Ranniery Maiab a The Centre for Speech Technology Research, University of Edinburgh, UK b Cambridge

  14. Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure

    E-Print Network [OSTI]

    objective method for intelligibility prediction of enhanced speech which is based on the negative distortion clean speech signal, likely due to a bad noise estimate during the speech enhancement procedure. While Elsevier B.V. All rights reserved. Keywords: Speech intelligibility; Objective measures; Speech enhancement

  15. Intelligibility-enhancing speech modifications: the Hurricane Challenge Martin Cooke1,2

    E-Print Network [OSTI]

    Edinburgh, University of

    Intelligibility-enhancing speech modifications: the Hurricane Challenge Martin Cooke1,2 , Catherine to enhance speech intelligibility. Eighteen systems operating on a common data set were subjected to ex interest in tackling what has been termed the `near-end' speech enhancement problem [7­15]. Consequently

  16. A SPEECH PREPROCESSING STRATEGY FOR INTELLIGIBILITY IMPROVEMENT IN NOISE BASED ON A PERCEPTUAL DISTORTION MEASURE

    E-Print Network [OSTI]

    speech energy. Index Terms-- Near-end speech enhancement, intelligibility improvement, transients 1A SPEECH PREPROCESSING STRATEGY FOR INTELLIGIBILITY IMPROVEMENT IN NOISE BASED ON A PERCEPTUAL.h.taal, r.c.hendriks, r.heusdens}@tudelft.nl ABSTRACT A speech pre-processing algorithm is presented

  17. Edinburgh Research Explorer Intelligibility enhancement of HMM-generated speech in additive

    E-Print Network [OSTI]

    Edinburgh, University of

    Edinburgh Research Explorer Intelligibility enhancement of HMM-generated speech in additive noise enhancement of HMM- generated speech in additive noise by modifying Mel cepstral coefficients to increase claim. Download date: 15. Sep. 2014 #12;Intelligibility enhancement of HMM-generated speech in additive

  18. Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise

    E-Print Network [OSTI]

    Edinburgh, University of

    Evaluating speech intelligibility enhancement for HMM-based synthetic speech in noise Cassia It is possible to increase the intelligibility of speech in noise by enhancing the clean speech signal Valentini-Botinhao, Junichi Yamagishi, Simon King The Centre for Speech Technology Research, University

  19. A SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE FOR TIME-FREQUENCY WEIGHTED NOISY SPEECH

    E-Print Network [OSTI]

    Terms-- intelligibility prediction, speech enhancement, noisy speech. 1. INTRODUCTION Speech processing systems, such as a speech-enhancement scheme or an intelligibility improvement algorithm in a hearing aid. This includes single-microphone speech-enhancement algorithms, e.g., [8], but also speech separation techniques

  20. Constrained Intelligent KMeans: Improving Results with Limited Previous Renato Cordeiro de Amorim

    E-Print Network [OSTI]

    Amorim, Renato Cordeiro de

    Constrained Intelligent KMeans: Improving Results with Limited Previous Knowledge Renato Cordeiro that the incorporation of these rules in the intelligent kmeans algorithm may increase the accuracy of results limited amount of knowledge of the data. In this paper, firstly the classical Kmeans

  1. Hypothetical Intelligent Plants, or, What Kind of Terminal Could a Tulip

    E-Print Network [OSTI]

    Black, Paul E.

    Hypothetical Intelligent Plants, or, What Kind of Terminal Could a Tulip Abstract What would the dominant species of a world be like if it were a plant instead of an animal? Examining existing plants, we suggest a plausible intelligent plant. It is definitely

  2. Hypothetical Intelligent Plants, or, What Kind of Terminal Could a Tulip

    E-Print Network [OSTI]

    Black, Paul E.

    Hypothetical Intelligent Plants, or, What Kind of Terminal Could a Tulip Use? Paul E. Black of a world be like if it were a plant instead of an animal? Examining existing plants, we suggest a plausible intelligent plant. It is definitely not humanoid. Our intelli­ gent plant is stationary, senses

  3. for ISMIS91 The Roles of Artificial Intelligence in Information Systems

    E-Print Network [OSTI]

    Wiederhold, Gio

    1 for ISMIS91 The Roles of Artificial Intelligence in Information Systems Gio Wiederhold Stanford are suitable for artificial intelligence approaches we outline an architectural structure for large systems simulations, databases, and designsystems routinely deal with millions of elements, major artificial

  4. Web Intelligence: New Frontiers of Exploration Yiyu (Y.Y.) Yao

    E-Print Network [OSTI]

    Yao, Yiyu

    Web Intelligence: New Frontiers of Exploration Yiyu (Y.Y.) Yao Department of Computer Science://www.cs.uregina.ca/yyao Abstract-- Web Intelligence (WI) deals with the scientific exploration of the new territories of the Web in the context of the Web, and goes beyond each of them. From several perspectives of the Web, we investigate

  5. PagePrompter: An Intelligent Agent for Web Navigation Created Using Data Mining Techniques

    E-Print Network [OSTI]

    Regina, University of

    1 PagePrompter: An Intelligent Agent for Web Navigation Created Using Data Mining Techniques Y.Y. Yao, H.J. Hamilton, and Xuewei Wang Abstract: Creating an intelligent agent for web navigation, which is an agent that dynam- ically gives recommendations to a web site's users by learning from web usage mining

  6. 2008 CSUC Institute for Research in Intelligent Systems Current State and Trends

    E-Print Network [OSTI]

    AUVs: Autonomous Underwater Vehicles USVs: Unmanned Surface Vehicles Bluefin-12 Naval Postgraduate in Intelligent Systems UGVs: Unmanned Ground Vehicles iRobot PackBot iRobot ATRV-2 Armed Robotic Vehicle (ARV for Research in Intelligent Systems UAVs: Unmanned Aerial Vehicles MQ-8B Fire Scout MQ-1 Predator Lockheed

  7. UW -Center for Intelligent Materials and Systems Design of Energy Absorption Bases on Porous

    E-Print Network [OSTI]

    Taya, Minoru

    Materials and Systems Material Processing and Testing NiTi Alloy Powder Spark Plasma Sintering (SPS) Porous Plasma Sintering (SPS) #12;UW - Center for Intelligent Materials and Systems Schematic Sketch of Spark for Intelligent Materials and Systems Material Processing and Testing NiTi Alloy Powder Spark Plasma Sintering Ni

  8. A mathematical explanation via "intelligent" PID controllers of the strange ubiquity of PIDs

    E-Print Network [OSTI]

    Novel, Brigitte D'Andrea; Join, Cdric; Mounier, Hugues; Steux, Bruno

    2010-01-01T23:59:59.000Z

    The ubiquity of PID controllers in the industry has remained mysterious until now. We provide here a mathematical explanation of this strange phenomenon by comparing their sampling with the the one of "intelligent" PID controllers, which were recently introduced. Some computer simulations nevertheless confirm the superiority of the new intelligent feedback design.

  9. A mathematical explanation via "intelligent" PID controllers of the strange ubiquity of PIDs

    E-Print Network [OSTI]

    Boyer, Edmond

    A mathematical explanation via "intelligent" PID controllers of the strange ubiquity of PIDs of PID controllers in the industry has remained mysterious until now. We provide here a mathematical explanation of this strange phenomenon by comparing their sampling with the the one of "intelligent" PID

  10. PS'2006 -Photonics in Switching Conference An Intelligent Network Management System with Multi-Tier Distributed

    E-Print Network [OSTI]

    Kolner, Brian H.

    -Tier Distributed Intelligence for Optical Packet-Agile Transport Networks Jinqiang Yang and S.J. Ben Yoo Department introduces multi-tier distributed intelligence into the network management plane in order to address-line traffic engineering over optical packet-switching networks facilitated by the multi-tier distributed

  11. Pottebaum et al. Event Definition for Intelligent Resource Management Event Definition for the Application of Event

    E-Print Network [OSTI]

    Paliouras, George

    of resource management (use case and demand side) and event processing (technology and supply side). MethodsPottebaum et al. Event Definition for Intelligent Resource Management Event Definition for the Application of Event Processing to Intelligent Resource Management Jens Pottebaum University of Paderborn, C

  12. Distributed Artificial Intelligence, Vol. II Pitman-London Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Distributed Artificial Intelligence, Vol. II Pitman-London Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989 #12;Distributed Artificial Intelligence, Vol. II Pitman-London Keith S. Decker, Edmund H. Durfee & Victor R. Lesser 1989 #12;Distributed Artificial Intelligence, Vol. II Pitman

  13. Applying to Teacher Education Program at Purdue

    E-Print Network [OSTI]

    David Drasin

    2012-12-02T23:59:59.000Z

    Apply to the Teacher Education Program (TEP). Please remember to apply to the TEP(Gate A) if you wish to officially enroll in the. Professional Education...

  14. Applied Materials | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricInc Jump to:Applied

  15. Intelligent Software Agents for Enhancing Sensor Networks Monitoring of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpin andInterimInvoking anyIntelligentChanging

  16. Office of Intelligence and Counterintelligence | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,Intelligence and Counterintelligence Office of

  17. Hybrid intelligent control scheme for air heating system using fuzzy logic and genetic algorithm

    SciTech Connect (OSTI)

    Thyagarajan, T.; Shanmugam, J.; Ponnavaikko, M.; Panda, R.C.

    2000-01-01T23:59:59.000Z

    Fuzzy logic provides a means for converting a linguistic control strategy, based on expert knowledge, into an automatic control strategy. Its performance depends on membership function and rule sets. In the traditional Fuzzy Logic Control (FLC) approach, the optimal membership is formed by trial-and-error method. In this paper, Genetic Algorithm (GA) is applied to generate the optimal membership function of FLC. The membership function thus obtained is utilized in the design of the Hybrid Intelligent Control (HIC) scheme. The investigation is carried out for an Air Heat System (AHS), an important component of drying process. The knowledge of the optimum PID controller designed, is used to develop the traditional FLC scheme. The computational difficulties in finding optimal membership function of traditional FLC is alleviated using GA In the design of HIC scheme. The qualitative performance indices are evaluated for the three control strategies, namely, PID, FLC and HIC. The comparison reveals that the HIC scheme designed based on the hybridization of FLC with GA performs better. Moreover, GA is found to be an effective tool for designing the FLC, eliminating the human interface required to generate the membership functions.

  18. Final (pre-edited) version of the paper published in: Proc. 10th Int. Conf. Logic for Programming, Artificial Intelligence, and Reasoning (LPAR 2003), Almaty, Kazakhstan, Sep. 2003,

    E-Print Network [OSTI]

    Sutre, Grgoire

    , Artificial Intelligence, and Reasoning (LPAR 2003), Almaty, Kazakhstan, Sep. 2003, volume 2850 of Lecture

  19. CX-012313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chicago Office Technical Support Services Contract CX(s) Applied: A8 Date: 06/13/2014 Location(s): CX: none Offices(s): Chicago Office

  20. CX-007858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  1. CX-010367: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11/19/2012 Location(s): Tennessee, California, Virginia Offices(s): Berkeley Site Office

  2. 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

  3. 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

  4. CX-001373: Categorical Exclusion Determination | Department of...

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

    Analytical Development Tritium Support Laboratory for Mass Spectroscopy, Infrared Spectroscopy, and Raman CX(s) Applied: B3.6 Date: 03102010 Location(s): Aiken,...

  5. CX-004196: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  6. CX-000331: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  7. CX-003518: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  8. CX-012089: Categorical Exclusion Determination | Department of...

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

    CX-012089: Categorical Exclusion Determination Wood Pole Testing for 20 Transmission Lines in Southern Arizona and Southern California CX(s) Applied: B3.1 Date: 04172014...

  9. CX-000815: Categorical Exclusion Determination | Department of...

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

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  10. CX-009005: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson Solar Energy Project CX(s) Applied: B5.16 Date: 08/22/2012 Location(s): Nevada Offices(s): Golden Field Office

  11. CX-011116: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sunpath SANFAB CX(s) Applied: B5.16 Date: 08/09/2013 Location(s): Nevada Offices(s): Golden Field Office

  12. CX-012474: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory

  13. CX-005151: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  14. CX-005154: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  15. CX-005159: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  16. 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

  17. CX-011237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  18. CX-006471: Categorical Exclusion Determination | Department of...

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

    CX-006471: Categorical Exclusion Determination Air Awareness Campaign Electric Car Charging Station CX(s) Applied: B5.1 Date: 08042011 Location(s): Greenville, South...

  19. CX-000903: Categorical Exclusion Determination | Department of...

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

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  20. CX-012015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  1. CX-012110: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Defense Logistics Agency, Tracy, California, Wind Resource Assessment CX(s) Applied: A9, B3.1 Date: 05072014 Location(s): California...

  2. CX-002753: Categorical Exclusion Determination | Department of...

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

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  3. CX-002823: Categorical Exclusion Determination | Department of...

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

    CX-002823: Categorical Exclusion Determination Nebraska College of Technical Agriculture Biomass Facility CX(s) Applied: B5.1 Date: 06242010 Location(s): Curtis, Nebraska...

  4. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  5. 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

  6. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office

  7. CX-008797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  8. CX-010590: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kalispell Shunt Cap Addition Project CX(s) Applied: B4.11 Date: 07/01/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  9. CX-008234: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Whole Energy Glycerin Refinery CX(s) Applied: B5.15 Date: 04/20/2012 Location(s): Washington Offices(s): Golden Field Office

  10. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  11. CX-012724: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Electronic Message Board Installation CX(s) Applied: B1.7Date: 41830 Location(s): IdahoOffices(s): Nuclear Energy

  12. CX-002964: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  13. CX-005201: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  14. CX-003507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination State Energy Program American Recovery and Reinvestment Act: Solar Power Incorporated Photovoltaic Panel Manufacturing Facility CX(s) Applied: B1.31,...

  15. CX-012810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration

  16. CX-011368: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Temperature Thermal Properties CX(s) Applied: B1.31 Date: 10/23/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  17. CX-011798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 01/30/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  18. CX-001724: Categorical Exclusion Determination | Department of...

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

    CX-001724: Categorical Exclusion Determination Recovery Act City of Boise Energy Efficiency and Conservation Block Grant (EECBG) CX(s) Applied: B5.1 Date: 04122010...

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

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

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  20. 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

  1. 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

  2. CX-009465: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  3. CX-009462: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  4. CX-011295: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  5. CX-009463: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  6. CX-009464: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  7. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office

  8. 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

  9. CX-011535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    East Grangeville Substation Sale CX(s) Applied: B1.24 Date: 11/14/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  10. CX-012233: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shed Acquisition at Kalispell Substation CX(s) Applied: B1.24 Date: 06/09/2014 Location(s): Montana Offices(s): Bonneville Power Administration

  11. CX-012622: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace roofing system at 702-F CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  12. CX-012621: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace 730-2B Roof CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  13. 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

  14. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  15. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  16. CX-010869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office

  17. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office

  18. CX-010581: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Little Shell Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  19. CX-011252: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9...

  20. CX-004374: Categorical Exclusion Determination | Department of...

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

    74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

  1. CX-011391: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

  2. CX-008507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  3. CX-007111: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007111: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project (Iatan Generating Station) CX(s) Applied: B3.1...

  4. CX-008476: Categorical Exclusion Determination | Department of...

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

    CX-008476: Categorical Exclusion Determination Small Scale Field Test Demonstrating Carbon Dioxide Sequestration in the Arbuckle Saline Aquifer CX(s) Applied: A9, B1.15,...

  5. CX-007118: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007118: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project CX(s) Applied: B3.1 Date: 10042011...

  6. CX-009326: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  7. CX-000591: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination 25A2936 - Carbon Nanotube Membranes for Energy-Efficient Carbon Sequestration CX(s) Applied: B3.6 Date: 12152009 Location(s): California...

  8. CX-003037: Categorical Exclusion Determination | Department of...

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

    Determination CX-003037: Categorical Exclusion Determination Mercury Removal from Clean Coal Processing Air Stream CX(s) Applied: B3.6 Date: 07132010 Location(s): Butte,...

  9. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  10. 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

  11. CX-011115: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Realization of Algae Potential CX(s) Applied: A9 Date: 08/29/2013 Location(s): New Mexico Offices(s): Golden Field Office

  12. CX-007844: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Retrofits CX(s) Applied: B5.1 Date: 12/01/2011 Location(s): Rhode Island Offices(s): Energy Efficiency and Renewable Energy

  13. CX-007689: Categorical Exclusion Determination | Department of...

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

    Tech Research Corporation- Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Internetworks CX(s) Applied: A9 Date: 1118...

  14. CX-000734: Categorical Exclusion Determination | Department of...

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

    CX-000734: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s):...

  15. CX-000733: Categorical Exclusion Determination | Department of...

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

    CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin, Texas Office(s): Fossil...

  16. CX-010941: Categorical Exclusion Determination | Department of...

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

    CX-010941: Categorical Exclusion Determination Assessing the Response of Methane Hydrates to Environmental Change at the Svalbard Continental Margin CX(s) Applied: B3.6,...

  17. CX-007388: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  18. CX-012245: Categorical Exclusion Determination | Department of...

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

    5: Categorical Exclusion Determination CX-012245: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Carnegie Mellon CX(s) Applied: A9 Date:...

  19. CX-012253: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-012253: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05272014...

  20. CX-012252: Categorical Exclusion Determination | Department of...

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

    2: Categorical Exclusion Determination CX-012252: Categorical Exclusion Determination Hydro Research Foundation University Research Awards- Cornell CX(s) Applied: A9, B3.16 Date:...

  1. CX-012254: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012254: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05...

  2. CX-003904: Categorical Exclusion Determination | Department of...

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

    904: Categorical Exclusion Determination CX-003904: Categorical Exclusion Determination Hydro Electric Project - Snohomish Public Utility District CX(s) Applied: A9, A11, B5.1...

  3. CX-012246: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-012246: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - University of Tennessee CX(s) Applied:...

  4. CX-012241: Categorical Exclusion Determination | Department of...

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

    1: Categorical Exclusion Determination CX-012241: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - MIT CX(s) Applied: A9, B3.6 Date: 06...

  5. 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

  6. 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

  7. CX-009542: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Parks Project CX(s) Applied: B5.16 Date: 11/09/2012 Location(s): Florida Offices(s): Golden Field Office

  8. CX-003403: Categorical Exclusion Determination | Department of...

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

    CX-003403: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: A9, B3.7...

  9. CX-002745: Categorical Exclusion Determination | Department of...

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

    CX-002745: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: B3.1, A9...

  10. CX-006681: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

  11. CX-006682: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

  12. CX-008486: Categorical Exclusion Determination | Department of...

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

    CX-008486: Categorical Exclusion Determination Demonstration of Gas Powered Drilling Operations for Economically-Challenged Wellhead Gas and Evaluation CX(s) Applied:...

  13. CX-007941: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: A9 Date: 02152012 Location(s): Texas...

  14. CX-003888: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

  15. CX-007940: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: B3.6 Date: 02152012 Location(s): Texas...

  16. CX-005582: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Foro Energy, Incorporated - Low-Contact Drilling Technology to Enable Economical Enhance Geothermal System Wells CX(s) Applied: B3.6,...

  17. CX-000855: Categorical Exclusion Determination | Department of...

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

    Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

  18. CX-008876: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Railroad Island Property Funding CX(s) Applied: B1.25 Date: 08/23/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-011239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  20. CX-010739: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Golden State Solar Impact CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  1. CX-011044: Categorical Exclusion Determination | Department of...

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

    CX-011044: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 0910...

  2. CX-010751: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office

  3. CX-004015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004015: Categorical Exclusion Determination Arizona Balance of State- Energy Efficiency and Conservation Block Grant Wickenburg CX(s) Applied:...

  4. CX-009555: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

  5. CX-000835: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

  6. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  7. 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

  8. CX-011531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Targhee Substation Land Acquisition CX(s) Applied: B1.24 Date: 11/05/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  9. CX-010435: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    De Moss Substation Expansion CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. CX-011384: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Advanced Controls for the Multi-pod Centipod Wave Energy Converter Device CX(s) Applied: A9 Date: 12022013 Location(s): California...

  11. CX-011537: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  12. CX-011538: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-011536: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-011416: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 12/19/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  15. CX-010778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 08/23/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  16. CX-012472: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  17. CX-012038: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deepwater Reverse-Circulation Primary Cementing CX(s) Applied: A9 Date: 04/17/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  18. CX-010582: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Spring Creek Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  19. CX-003706: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Development and Demonstration of an Innovative Thermal Energy Storage System for Baseload Solar Power Generation CX(s) Applied: A9, B3.6...

  20. CX-004217: Categorical Exclusion Determination | Department of...

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

    Replacement Facets for Central Receiver Test Facility Heliostats at the National Solar Thermal Test Facility (American Recovery and Reinvestment Act Funded) CX(s) Applied:...

  1. CX-003222: Categorical Exclusion Determination | Department of...

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

    and Reinvestment Act State Energy Program - Eastern Oregon Correctional Institution Solar Thermal CX(s) Applied: B5.1 Date: 08032010 Location(s): Pendleton, Oregon...

  2. CX-004251: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    CX-004251: Categorical Exclusion Determination High Yield Hybrid Cellulosic Ethanol Process Using High-Impact Feedstock for Commercialization by 2013 CX(s) Applied: A9,...

  3. CX-003208: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

  4. CX-003471: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

  5. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  6. 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

  7. 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

  8. 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

  9. 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

  10. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  11. 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

  12. 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

  13. CX-010583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Upper Jocko River Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  14. CX-007925: Categorical Exclusion Determination | Department of...

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

    Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

  15. CX-006048: Categorical Exclusion Determination | Department of...

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

    Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

  16. CX-006395: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

  17. CX-005801: Categorical Exclusion Determination | Department of...

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

    Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

  18. CX-006043: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

  19. CX-005861: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

  20. CX-011131: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Puget Sound Pilot Tidal Energy Project CX(s) Applied: A9 Date: 08/13/2013 Location(s): Washington Offices(s): Golden Field Office