Sample records for knapp energy intelligence

  1. 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

  2. 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

  3. Weather Radar Control System Seidu Ibrahim; Advisor: Eric J. Knapp

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Weather Radar Control System Seidu Ibrahim; Advisor: Eric J. Knapp Dept. of Electrical and Computer Engineering University of Massachusetts, Amherst Abstract Weather radar is an important part of the national infrastructure that is used in producing forecasts and issuing hazardous weather warnings. Traditional weather

  4. Intelligent Generation | 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 are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7OpenInnovativeTechnologies

  5. 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

  6. 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

  7. Intelligent Energy Europe (IEE) | 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 directedAnnual SiteofEvaluatingGroup | OpenHunan RunhuaInner MongoliaIntegrys EnergyIntellect Battery CoIEE)

  8. Intelligent Energy Holdings | 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 beingZealand Jump to: navigation, search OpenEIHesperia,IDGWPIndiantown,InnofermIntegrity Automotive JumpHoldings

  9. 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 ...

  10. 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...

  11. 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

  12. 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

  13. Ris Energy Report 8 The intelligent energy system infrastructure for the future

    E-Print Network [OSTI]

    Risø Energy Report 8 The intelligent energy system infrastructure for the future Reprint Petersen #12;Risø Energy Report 5 Renewable energy for power and transport Global energy policy today is dominated by three concerns: security of supply, climate change, and energy for development and poverty

  14. INGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIA

    E-Print Network [OSTI]

    DATTA, SHOUMEN

    2009-06-01T23:59:59.000Z

    Policies based on empirical assumptions without a foundation in granular real-time data may be limited in scope. It may sputter ineffectively in its role as the engine of energy economics. For energy efficiency and ...

  15. INGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIA

    E-Print Network [OSTI]

    DATTA, SHOUMEN

    2009-06-04T23:59:59.000Z

    Policies based on empirical assumptions without a foundation in granular real-time data may be limited in scope. It may sputter ineffectively in its role as the engine of energy economics. For energy efficiency and ...

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

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

    Koch, a mechanical engineer who advises BPA's utility customers on energy efficiency and demand response decisions, said it's important to keep in mind that consumers are going to...

  18. Intelligent Energy/Infinite Energy, Inc. (Texas) | 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 directedAnnual SiteofEvaluatingGroup | OpenHunan RunhuaInner MongoliaIntegrys EnergyIntellect Battery

  19. Robotics - Intelligence Kernel - 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:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvances Wind Turbine

  20. Intelligent Building Energy Information and Control Systems for Low-Energy

    E-Print Network [OSTI]

    for about 70 percent of electricity use. To address energy security issues and environmental concerns&R International, 2011). To address energy security and environmental concerns there is an urgent needLBNL-5894E Intelligent Building Energy Information and Control Systems for Low-Energy Operations

  1. Ris Energy Report 8 The intelligent energy system infrastructure for the future

    E-Print Network [OSTI]

    Risø Energy Report 8 The intelligent energy system infrastructure for the future Risø-R-1695(EN) September 2009 Edited by Hans Larsen and Leif Sønderberg Petersen #12;Risø Energy Report 8 Edited by Hans Larsen and Leif Sønderberg Petersen, Risø National Laboratory for Sustainable Energy Technical University

  2. 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...

  3. 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...

  4. Energy Sensing and Monitoring Framework with an Integrated Communication Backbone in Energy Efficient Intelligent Buildings

    E-Print Network [OSTI]

    Jain, Raj

    Building, Communication, Sustainability, Smart Energy, Smart Box, Cloud Computing, Smart Phone. Abstract Efficient Intelligent Buildings Jianli Pan1, 3, a , Shanzhi Chen2, b , Raj Jain3, c , Subharthi Paul3, d 1. Building environments are significant sources of global energy consumption. To create energy efficient

  5. Bret Knapp to head combined Weapons Engineering, Weapons Physics

    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 for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Site

  6. F.F. (Russ) Knapp | ornl.gov

    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 Office of Science (SC) Environmental Assessments (EA) /EmailMolecularGE,Ozone Layer F. SherwoodRuss

  7. 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" ...

  8. 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...

  9. EL Program: Embedded Intelligence in Buildings Program Manager: Steven Bushby, Energy and Environment Division, x5873

    E-Print Network [OSTI]

    Perkins, Richard A.

    be significantly reduced. Congress has established a national goal of achieving net-zero energy buildings by 20301 EL Program: Embedded Intelligence in Buildings Program Manager: Steven Bushby, Energy energy buildings by 2030.1 Approximately 84% of the life cycle energy use of a building is associated

  10. A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database over TCP/IP Network

    E-Print Network [OSTI]

    Borissova, Daniela

    4 8 A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database in their entirety. 2. Electronic energy metersaccountingtechnology developed inthe project The technology under Collection Electronic Energy Meters Distributed Database over TCP/IP Network Optical Head Optical Port RS-232

  11. SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation

    E-Print Network [OSTI]

    Tronci, Enrico

    solar panels)], for each time slot (say each hour) the DNO price policy defines an interval of energySmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation Enrico Tronci.prodanovic,jorn.gruber, barry.hayes}@imdea.org I. INTRODUCTION The SmartHG project [1], [2] has the goal of developing

  12. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. ?, NO. ?, MONTH 201? 1 Continuous Energy Minimization

    E-Print Network [OSTI]

    Schindler, Konrad

    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. ?, NO. ?, MONTH 201? 1 Continuous Energy Minimization for Multi-Target Tracking Anton Milan, Student Member, IEEE, Stefan Roth-target tracking as minimization of a continuous energy. Contrary to recent approaches, we focus on designing

  13. OGEL (Oil, Gas & Energy Law Intelligence): Focussing on recent developments in the area of oil-gas-energy law,

    E-Print Network [OSTI]

    Dixon, Juan

    About OGEL OGEL (Oil, Gas & Energy Law Intelligence): Focussing on recent developments in the area of oil-gas-energy law, regulation, treaties, judicial and arbitral cases, voluntary guidelines, tax and contracting, including the oil-gas- energy geopolitics. For full Terms & Conditions and subscription rates

  14. Office of Intelligence and Counterintelligence | Department of Energy

    Energy Savers [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 directed off Energy.gov. Are you sure you wantJoin us for #SpaceWeekOMB Policies OMBOffice ofOffice of

  15. Kindness Intelligence Solar Service KIS | 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 directedAnnual SiteofEvaluatingGroup |Jilin Zhongdiantou New EnergyKenosistecKilara Power Pvt Ltd

  16. Intelligent Transportation Systems Deployment Analysis System | Open Energy

    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 directedAnnual SiteofEvaluatingGroup | OpenHunan RunhuaInner MongoliaIntegrys EnergyIntellect

  17. Intelligent Controls for Net-Zero Energy Buildings

    SciTech Connect (OSTI)

    Li, Haorong; Cho, Yong; Peng, Dongming

    2011-10-30T23:59:59.000Z

    The goal of this project is to develop and demonstrate enabling technologies that can empower homeowners to convert their homes into net-zero energy buildings in a cost-effective manner. The project objectives and expected outcomes are as follows: To develop rapid and scalable building information collection and modeling technologies that can obtain and process as-built building information in an automated or semiautomated manner. To identify low-cost measurements and develop low-cost virtual sensors that can monitor building operations in a plug-n-play and low-cost manner. To integrate and demonstrate low-cost building information modeling (BIM) technologies. To develop decision support tools which can empower building owners to perform energy auditing and retrofit analysis. To develop and demonstrate low-cost automated diagnostics and optimal control technologies which can improve building energy efficiency in a continual manner.

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

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

    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 on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment of EnergyIndustry15AmongPartnershipProgramOverview

  19. GIZ Sourcebook Module 4e: Intelligent Transport Systems | Open Energy

    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 are8COaBulkTransmissionSitingProcess.pdf Jump1946865°, -86.0529604°Wisconsin:FyreStorm IncLSE COMPOpen Energyc:

  20. 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,...

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

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

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy SummarySarahSeniorof

  2. Proceedings of the Fourth International Workshop on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, eds. B. Denby and D. PerretGallix, International Journal of Modern

    E-Print Network [OSTI]

    Peterson, Carsten

    Intelligence for High Energy and Nuclear Physics, eds. B. Denby and D. Perret­Gallix, International Journal on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, Pisa, Italy, April 3

  3. 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,...

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

    SciTech Connect (OSTI)

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

    2008-05-31T23:59:59.000Z

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

  5. Lauren A. Knapp (770) 315-3315 knlauren@udel.edu

    E-Print Network [OSTI]

    Delaware, University of

    offshore wind community meetings Scoped proposals for electric utility and Department of Energy grants 5 of Michigan ($1,500) 2012 Offshore wind research grant, Citizens' Greener Evanston ($7,500) 2011 Solar University, College of Applied Science and Technology Normal, IL B.S. Renewable Energy Economics

  6. Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01T23:59:59.000Z

    As we developlow?energybuildings,theneedformodelsBuilding Energy Information and Control Systems for Low-Building Energy Information and Control Systems for Low

  7. Signature of Bret E Knapp Signature of Kimberly Davis-Lebak

    National Nuclear Security Administration (NNSA)

    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 742EnergyOn AprilA Approved:AdministrationAnalysis andBHoneywell9/%2ARequest|Scoping2Bret E

  8. 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

  9. Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01T23:59:59.000Z

    Systemsfor EnergyManagementandDemandResponsein7. Linkingenergyefficiencyanddemandresponse. Infor Low-Energy Operations and Optimal Demand Response Mary

  10. Ris Energy Report 8 The intelligent energy system infrastructure for the future

    E-Print Network [OSTI]

    Snderberg Petersen #12;Ris Energy Report 5 Renewable energy for power and transport Den globale fossile brndsler, og dette vil fortsat vre tilfldet i de nste mange rtier. I EU str vi over mindst udviklede lande, som mange afrikanske lande. Rapporten beskriver hvordan fremtidens energisystemer

  11. Journal of Artificial Intelligence Research 50 (2014) 885-922 Submitted 4/14; published 8/14 Demand Side Energy Management via Multiagent Coordination in

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Abstract A key challenge in creating a sustainable and energy-efficient society is to make consumer demand propose a novel multiagent coordination algorithm, to shape the energy demand of the cooperativeJournal of Artificial Intelligence Research 50 (2014) 885-922 Submitted 4/14; published 8/14 Demand

  12. UW-Center for Intelligent Materials and SystemsUW-Center for Intelligent Materials and Systems Design of High Energy Absorbing Materials

    E-Print Network [OSTI]

    Taya, Minoru

    Sintering (SPS)Porous NiTi SMA fabricated by Spark Plasma Sintering (SPS) #12;UW-Center for IntelligentSolid NiTi Transformation temperature (C) Spark Plasma Processing Condition Porosity (%) Specimen SPS equipment 1mm Uniform microstructure of 13% porosity NiTi Porous NiTi SMA fabricated by Spark Plasma

  13. How ambient intelligence will improve habitability and energy efficiency in buildings

    E-Print Network [OSTI]

    Arens, Edward A; Federspiel, C.; Wang, D.; Huizenga, C.

    2005-01-01T23:59:59.000Z

    improvements to building energy efficiency and the well-Habitability and Energy Efficiency in Buildings. PublishedHabitability and Energy Efficiency in Buildings. Published

  14. Integration of renewable energy sources: reliability-constrained power system planning and operations using computational intelligence

    E-Print Network [OSTI]

    Wang, Lingfeng

    2009-05-15T23:59:59.000Z

    Renewable sources of energy such as wind turbine generators and solar panels have attracted much attention because they are environmentally friendly, do not consume fossil fuels, and can enhance a nations energy security. As a result, recently more...

  15. 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...

  16. Save (More) Energy Now with Intelligent Industrial Buildings: High-Performance Stewardship of Buildings

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

    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 on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-EReviewLaboratory |SiteIf

  17. 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

    Drewer and D. Gann, Smart buildings, Journal of Facilities ,smart energy management system specically for residential buildings.buildings is rooted in relative eectiveness per system by a smart

  18. Integration of renewable energy sources: reliability-constrained power system planning and operations using computational intelligence

    E-Print Network [OSTI]

    Wang, Lingfeng

    2009-05-15T23:59:59.000Z

    studied in the dissertation include reliability evaluation of power systems with time-dependent energy sources, multi-objective design of hybrid generation systems, risk and cost tradeoff in economic dispatch with wind power penetration, optimal placement...

  19. Continuous Commissioning Based on the European Energy Performance of Buildings Directive and Intelligent Monitoring

    E-Print Network [OSTI]

    Schmidt, F.; Neumann, C.

    The Save Project BuildingEQ Tools and methods for linking EPBD and continuous commissioning develops technologies to derive baselines from the information collected during the energy assessment process and rules which are able to automate...

  20. 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

  1. ShanXi Xin Tong Intelligence Technical Co Ltd | 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 YouKizildere IRaghuraji Agro Industries Pvt Ltd JumpInformationScottsOklahoma:SevinShamil Ayntrazi Jump to:

  2. Responsive and Intelligent Building Information and Control for Low-Energy

    E-Print Network [OSTI]

    that greatly reduce energy use and peak electric power in buildings while providing or improving the services and optimization, and model predictive control to augment these models with dynamics of building system more integrated there is an opportunity for buildings to respond to common grid systems and model-ba

  3. 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...

  4. 478 IEEE Transactionson Energy Conversion,vol.7, No. 3, September1092. THE PENN STATE INTELLIGENT DISTRIBUTED CONTROL RESEARCH LABORATORY

    E-Print Network [OSTI]

    Ray, Asok

    microprocessor-based control system which is interfaced to real-time simulations of power plant processes, intelligent, and other advancedcontroltechniques for nuclear power plants. Keywords -simulation reactor power plant. This test-bed, which may be expanded to simulate other nuclear power plant

  5. Energy Sources | Department of Energy

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

    September 13, 2013 Energy Analysis Energy analysis informs EERE decision-making by delivering analytical products in four main areas: Data Resources, Market Intelligence, Energy...

  6. 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

  7. 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

  8. Multi-Agent Systems and Control, Intelligent Robotics, and Cybernetics. Power Electronics, Renewable Energy, and Smart Grid.

    E-Print Network [OSTI]

    Wu, Yih-Min

    . Power Electronics, Renewable Energy, and Smart Grid. Computer Science and Engineering. Embedded Systems

  9. 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.

  10. 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...

  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. Electricity | Department of Energy

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

    on Home Energy Use Poneman visits Houston to review progress of CenterPoint Energy's Smart MeterIntelligent Grid Deployment November 17, 2010 Department of Energy Announces...

  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. To: Elizabeth Knapp From: Provost June Aprille

    E-Print Network [OSTI]

    Marsh, David

    , including size, seating style, aesthetics, technical capability, electrical outlets (for laptop power' and students' needs. This effort is particularly important now as we face loss of some classrooms

  16. Nuclear Energy Research Initiative (NERI): On-Line Intelligent Self-Diagnostic Monitoring for Next Generation Nuclear Plants - Phase I Annual Report

    SciTech Connect (OSTI)

    L. J. Bond; S. R. Doctor; R. W. Gilbert; D. B. Jarrell; F. L. Greitzer; R. J. Meador

    2000-09-01T23:59:59.000Z

    OAK-B135 This OSTI ID belongs to an IWO and is being released out of the system. The Program Manager Rebecca Richardson has confirmed that all reports have been received. The objective of this project is to design and demonstrate the operation of the real-time intelligent self-diagnostic and prognostic system for next generation nuclear power plant systems. This new self-diagnostic technology is titled, ''On-Line Intelligent Self-Diagnostic Monitoring System'' (SDMS). This project provides a proof-of-principle technology demonstration for SDMS on a pilot plant scale service water system, where a distributed array of sensors is integrated with active components and passive structures typical of next generation nuclear power reactor and plant systems. This project employs state-of-the-art sensors, instrumentation, and computer processing to improve the monitoring and assessment of the power reactor system and to provide diagnostic and automated prognostics capabilities.

  17. 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.

  18. 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.

  19. 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...

  20. 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

  1. 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.

  2. IMSC Spring Retreat Activity Based Intelligence

    E-Print Network [OSTI]

    Shahabi, Cyrus

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

  3. 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.

  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. 1642 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 14, NO. 4, DECEMBER 2013 Minimal-Energy Driving Strategy for High-Speed

    E-Print Network [OSTI]

    Tong, Lang

    , including the extended speed range, energy efficiency, and regenerative braking. Based on this model, train the regenerative brake to feed back the kinetic energy, etc. On the other hand, a proper driving strategy can also

  6. Journal of Artificial Intelligence Research 40 (2011) xx-xx Submitted 10/2010; published 04/2011 Properties of Bethe Free Energies and Message Passing

    E-Print Network [OSTI]

    Edinburgh, University of

    2011-01-01T23:59:59.000Z

    /2011 Properties of Bethe Free Energies and Message Passing in Gaussian Models Botond Cseke b approximations. We define the Gaus- sian fractional Bethe free energy in terms of the moment parameters of the approximate marginals, derive a lower and an upper bound on the fractional Bethe free energy and establish

  7. An Intelligent Broker Agent for Energy Trading: An MDP Approach Rodrigue T. Kuate, Minghua He, Maria Chli and Hai H. Wang

    E-Print Network [OSTI]

    Chli, Maria

    the development and evalua- tion of AstonTAC, an energy broker that success- fully participated in the 2012 Power in the wholesale market. In particular, it employs Markov Decision Processes (MDP) to purchase energy at low prices at low price in the wholesale market and keep energy imbalance low. 1 Introduction Due

  8. --No Title--

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

    Replacing an HVAC system for the city of West New York OCRWM West New York Energy Efficiency Projects New Jersey Apr 9, 2010 Kathryn Knapp Digitally signed by Kathryn Knapp DN:...

  9. 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.

  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. 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...

  12. 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

  13. Commissioning Lessons from Study of the Advanced Systems at the CMU Intelligent Workplace

    E-Print Network [OSTI]

    Claridge, D. E.; Gong, X.

    A detailed study has been conducted of the performance of several innovative aspects of the Intelligent Workplace (IW) at Carnegie Mellon University, a low energy consumption building that uses radiant heating, cooling and a desiccant ventilation...

  14. Tenured Faculty Position in Intelligent Infrastructure Department of Civil and Environmental Engineering

    E-Print Network [OSTI]

    Detwiler, Russell

    as materials science, environmental science, biotechnology, public health, energy, economics, planningTenured Faculty Position in Intelligent Infrastructure Department of Civil and Environmental Engineering University of California, Irvine The Department of Civil and Environmental Engineering

  15. Big data and insatiable consumer demand for broadband are driving a new generation of intelligent,

    E-Print Network [OSTI]

    Shepard, Kenneth

    of intelligent, programmable, energy efficient networks--powered by optical switching--to support Internet step further, forming a fiber-to-the-home/premises/curb network. In sum, fiber is no longer solely

  16. 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...

  17. 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

  18. 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

  19. 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 ...

  20. iPower: An Energy Conservation System for

    E-Print Network [OSTI]

    Tseng, Yu-Chee

    iPower: An Energy Conservation System for Intelligent Buildings by Wireless Sensor Networks Lun. Exploiting the context-aware capability of WSN to achieve energy conservation in intelligent buildings is an attractive direction. We thus propose an iPower (intelligent and personalized energy-conservation system

  1. > UtopiaCompression Corporation (UC) is a rapidly growing, High Tech > company with core competency in computational intelligence, developing

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    competency in computational intelligence, developing > and marketing a range of intelligent technologies discovery 3D object/scene modeling fusion and > visualization with a host of applications. of > Homeland Security, Dept. of Energy, US Missile Defense Agency, NIST, > Aerospace Industry prime contractor

  2. Building Energy-Efficiency Best Practice Policies and Policy Packages

    E-Print Network [OSTI]

    Levine, Mark

    2014-01-01T23:59:59.000Z

    IECC International Energy Conservation Code IEE IntelligentThe International Energy Conservation Code (IECC) and2009 International Energy Conservation Code for residential

  3. Energy Blog | Department of Energy

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

    different... September 22, 2011 Brian Andrews is a former meter reader who now works with smart meter and intelligent grid projects. | Image courtesy of CenterPoint Energy. New...

  4. 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

  5. Demand Dispatch-Intelligent

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

    CA Control Areas CO 2 Carbon Dioxide CHP Combined Heat and Power CPP Critical Peak Pricing DG Distributed Generation DOE Department of Energy DR Demand Response DRCC Demand...

  6. Sandia Heuristic Intelligent

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

    prosperity through sustainable, transformative approaches to our most challenging energy, climate, and infrastructure problems. The National Solar Thermal Test Facility (NSTTF) at...

  7. Sustainable Energy Solutions Task 4.1 Intelligent Manufacturing of Hybrid Carbon-Glass Fiber-Reinforced Composite Wind Turbine Blades

    SciTech Connect (OSTI)

    Janet M Twomey, PhD

    2010-04-30T23:59:59.000Z

    EXECUTIVE SUMARY In this subtask, the manufacturability of hybrid carbon-glass fiber-reinforced composite wind turbine blades using Vacuum-Assisted Resin Transfer Molding (VARTM) was investigated. The objective of this investigation was to study the VARTM process and its parameters to manufacture cost-effective wind turbine blades with no defects (mainly eliminate dry spots and reduce manufacturing time). A 2.5-dimensional model and a 3-dimensional model were developed to simulate mold filling and part curing under different conditions. These conditions included isothermal and non-isothermal filling, curing of the part during and after filling, and placement of injection gates at different locations. Results from this investigation reveal that the process can be simulated and also that manufacturing parameters can be optimized to eliminate dry spot formation and reduce the manufacturing time. Using computer-based models is a cost-effective way to simulate manufacturing of wind turbine blades. The approach taken herein allows the design of the wind blade manufacturing processes without physically running trial-and-error experiments that are expensive and time-consuming; especially for larger blades needed for more demanding environmental conditions. This will benefit the wind energy industry by reducing initial design and manufacturing costs which can later be passed down to consumers and consequently make the wind energy industry more competitive.

  8. Encyclopedia of Artificial Intelligence

    E-Print Network [OSTI]

    Liang, Faming

    Printing Inc. Published in the United States of America by Information Science Reference (an imprint of IGI, tech- niques, technologies, among others"--Provided by publisher. ISBN 978-1-59904-849-9 (hardcover due to the rugged nature of the energy landscape of MLPs. The energy function often refers to the sum

  9. 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

  10. 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

  11. 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

  12. Energy 2050: Bio-inspired Renewable Non-Fossil Liquid Fuel

    E-Print Network [OSTI]

    Datta, Shoumen

    We propose an intelligent Energy Transparency model and a bio-inspired hypothetical mechanical mitochondria to optimize energy efficiency. iET seeks learning algorithms to build intelligence in order to pursue carbon-based ...

  13. 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

  14. 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

  15. 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.

  16. 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...

  17. 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

  18. 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

  19. 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

  20. 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

  1. Demand Dispatch-Intelligent

    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 Power Administration wouldDECOMPOSITIONPortal DecisionRichlandDelegations,Demand

  2. 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.

  3. 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 ...

  4. 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 ...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. Sandia Heuristic Intelligent

    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 Office of ScienceandMesa del Sol Home DistributionTransportation Safety HomeWaterNanoscale Effects

  19. Intelligence and Space 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. DOE Office of Science (SC)Integrated Codes | National Nuclear SecurityIntellectual Property IntellectualScience

  20. LED Market Intelligence Report

    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 SchoolIn12electron 9 5 - -/e),,s - 1 2 3 4 5 6 7 8 9LDRD, What does

  1. DEPARTMENT OF ENERGY PROCEDURES FOR INTELLIGENCE ACTIVITIES

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

    that they have reason to be1 ieve may be illegal or contrary to Executive order, Presidential directive, o r appl i cab1 e DOE pol icy, incl udi ng these Procedures. Such...

  2. Intelligent Residential Air-Conditioning System with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Intelligent Residential Air-Conditioning System with Smart-Grid Functionality Auswin George residential air-conditioning (A/C) system controller that has smart grid functionality. The qualifier, conditional on anticipated retail energy prices. The term "smart- grid functionality" means that retail energy

  3. 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.

  4. 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

  5. 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

  6. From Proceedings of the Fourteenth National Conference on Arti cial Intelligence (1997). Providence, RI: AAAI Press. Machine Learning for Intelligent Systems

    E-Print Network [OSTI]

    Langley, Pat

    holds interest for the broader AI research community. I also suggest some steps to encourage further gradually fragmented into many distinct communities, each concerned with a di erent facet of intelligent concentrate their energies and make more rapid progress on their own problems. But it has also led to di

  7. 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.

  8. 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...

  9. Confidential and Privileged: The President's Foreign Intelligence Advisory Board - Learning Lessons from Its Past to Shape Its Future

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    s Foreign Intelligence Advisory Board: A Special Investigative Panel, Science at its Best, Security at its Worst: A Report on Security Problems at the U.S. Department of Energy (Washington, D.C.: GPO, 1999). The report is also available, as of October 17...confidential and privileged THE PRESIDENTS FOREIGN INTELLIGENCE ADVISORY BOARD Learning Lessons from Its Past to Shape Its Future Kenneth Michael Absher Michael Desch Roman Popadiuk A Report Presented to the Richard Lounsbery Foundation Washington...

  10. 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:

  11. 866 IEEE COMMUNICATIONS LETTERS, VOL. 16, NO. 6, JUNE 2012 ICE: Intelligent Cell BrEathing to

    E-Print Network [OSTI]

    Ansari, Nirwan

    Eathing to Optimize the Utilization of Green Energy Tao Han, Student Member, IEEE, and Nirwan Ansari, Fellow, IEEE Abstract--This letter proposes Intelligent Cell brEathing (ICE) to optimize the utilization of green energy by green energy. Minimizing the maximal depleting rate is an NP-hard problem. ICE is thus proposed

  12. 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

  13. 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...

  14. 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...

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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.

  20. UNITED STATES HOUSE OF REPRESENTATIVES HOUSE PERMANENT SELECT COMMITTEE ON INTELLIGENCE

    E-Print Network [OSTI]

    Deutch, John

    of the Department of Energy in the Carter Administration my responsibilities included our nuclear weapons program points: Intelligence on WMD was a high priority concern of the Clinton administration, just as it was in the George H.W. Bush administration. The apparent misestimate of the presence and readiness of Iraqi

  1. NATIONAL COMMISSION ON TERRORIST ATTACKS UPON THE UNITED STATES Strengthening U.S. Intelligence

    E-Print Network [OSTI]

    Deutch, John

    of Energy in the Carter Administration my responsibilities included our nuclear weapons program the assurance that the Intelligence Community (IC) is in the best possible position to defend against possible are not insignificant and therefore will meet considerable resistance from those parties participating in the present

  2. A Study of the Advanced Systems at the CMU Intelligent Workplace with an Evaluation of Potential Applications to Texas A&M International University

    E-Print Network [OSTI]

    Claridge, D. E.; Gong, X.; Verdict, M.; Clingenpeel, K.

    A detailed study has been conducted of the performance of several innovative aspects of the Intelligent Workplace (IW) at Carnegie Mellon University, a low energy consumption building that uses radiant heating, cooling and a desiccant ventilation...

  3. 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

  4. 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

  5. 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...

  6. 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...

  7. 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

  8. 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 ...

  9. 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

  10. 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

  11. 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. ...

  12. 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

  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 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

  14. 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...

  15. 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...

  16. 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...

  17. 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 ...

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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.

  3. High Flux Commercial Illumination Solution with Intelligent Controls

    SciTech Connect (OSTI)

    Camil Ghiu

    2012-04-30T23:59:59.000Z

    This report summarizes the work performed at OSRAM SYLVANIA under US Department of Energy contract DE-EE0003241 for developing a high efficiency LED-based luminaire. A novel light engine module (two versions: standard and super), power supply and luminaire mechanical parts were designed and tested. At steady-state, the luminaire luminous flux is 3156 lumens (lm), luminous efficacy 97.4 LPW and CRI (Ra) 88 at a correlated color temperature (CCT) of 3507K. When the luminaire is fitted with the super version of the light engine the efficacy reaches 130 LPW. In addition, the luminaire is provided with an intelligent control network capable of additional energy savings. The technology developed during the course of this project has been incorporated into a family of products. Recently, the first product in the family has been launched.

  4. A national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy

    E-Print Network [OSTI]

    to the 2nd Annual Intelligent Green & Energy Efficient Buildings Conference &Expo, March 29, 2006, BeijingA national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy National Renewable Energy Laboratory Innovation for Our Energy Future A Renewable Energy Community

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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...

  17. 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

  18. What are Intelligent Transportation Intelligent Transportation Systems (ITS) are

    E-Print Network [OSTI]

    Bertini, Robert L.

    at--and solving--our transportation problems. The strategy of adding more and more highway capacity productivity, and wasted energy. ITS enables people and goods to move more safely and efficiently through region, the state of Oregon and throughout the nation. We partner with local, regional, national

  19. Future Intelligent Power Grids: Analysis of the vision in the European Union and the United States

    SciTech Connect (OSTI)

    Coll-Mayor, Debora; Paget, Mia L.; Lightner, Eric M.

    2007-04-01T23:59:59.000Z

    The future of power grids is expected to involve an increasing level of intelligence and integration of new information and communication technologies in every aspect of the electricity system, from demand-side devices to wide-scale distributed generation to a variety of energy markets. This paper provides a general outlook of the definition of this future in the U.S. and the European Union and compares two approachesGridWiseTM and SmartGrid. It describes the contexts in both the worlds, as they influence the two visions of the future intelligent power grid, and as they form foundations at each respective federal level for supporting research in this field. The similarities and complementarities of the two research programs are examined. Within the framework of a solid precedence for trans-Atlantic cooperation in energy research, the time would seem optimal to set in motion active collaboration and educational exchange on GridWise and SmartGrid research. This paper will help energy policy makers to better understand the key issues determining the two different approaches and the two different policies derived from them; as well as a comparison of the solution provided in each case. This work will also be useful for researchers and industry decision makers to be aware of trans-Atlantic approaches, opportunities, and resources looking toward future, more intelligent and interconnected power grids.

  20. Enhancing nuclear power plant performance through the use of artifical intelligence. First annual report

    SciTech Connect (OSTI)

    Johnson, M.; Maren, A.; Miller, L.; Uhrig, R.; Upadhyaya, B.

    1989-06-15T23:59:59.000Z

    In the summer of 1988, the Department of Nuclear Engineering (NE) at the University of Tennessee (UT) in Knoxville was selected to carry out a research program in ``Enhancing the Operation of Nuclear Power plants through the use of Artificial Intelligence, This program is sponsored by the Department of Energy`s Office of Energy Research under 10CFR605 for Nuclear Engineering Research. The objective of the research is to advance the state-of-the-art of nuclear power plant control, safety, management, and instrumentation systems through the use of artificial intelligence (AI) techniques, including both expert systems and neural networks. The emphasis will be placed on methods that can be implemented on a rapid or real-time basis. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence, field that can be brought to bear on the technology of nuclear power plants. Both of these goals are being met. This overview and the attached technical reports describe the work that is being carried out. Although in some cases, the scope of the work differs somewhat from the specific tasks described in the original proposal, all activities are clearly within the overall scope of the contract.

  1. Supervisory, Intelligence Research Specialist Job Title: Supervisory, Intelligence Research Specialist

    Office of Environmental Management (EM)

    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 1,006 492 742 33 1112011 Strategic2Uranium Transferon the Passing of AdmiraltheOilofDepartmentSuper»Supervisory,

  2. Learning Competitive Intelligence from a Bunch of Screwballs

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-12-01T23:59:59.000Z

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

  3. 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

  4. 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

  5. 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.

  6. 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:...

  7. 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...

  8. 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:...

  9. 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.

  10. 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...

  11. 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.

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. Predictive Energy Optimization

    E-Print Network [OSTI]

    Dickinson, P.

    2013-01-01T23:59:59.000Z

    Predictive?Energy?Optimization Peter?Dickinson Phone:?+1?(415)?233?2306 Email:??Peterd@buildingiq.com Twitter:??@Pete_BIQ BuildingIQ?Overview 2 ? Software?to?intelligently?assess?and?control?HVAC? energy for?commercial?building?portfolios...

  18. 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.

  19. 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

  20. Intelligence team given national honor

    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 Office of Science (SC)Integrated Codes | National Nuclear SecurityIntellectual Property

  1. Intelligence Programs | National Security | ORNL

    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 any IntelMIC

  2. Enhancing nuclear power plant performance through the use of artifical intelligence

    SciTech Connect (OSTI)

    Johnson, M.; Maren, A.; Miller, L.; Uhrig, R.; Upadhyaya, B.

    1989-06-15T23:59:59.000Z

    In the summer of 1988, the Department of Nuclear Engineering (NE) at the University of Tennessee (UT) in Knoxville was selected to carry out a research program in Enhancing the Operation of Nuclear Power plants through the use of Artificial Intelligence, This program is sponsored by the Department of Energy's Office of Energy Research under 10CFR605 for Nuclear Engineering Research. The objective of the research is to advance the state-of-the-art of nuclear power plant control, safety, management, and instrumentation systems through the use of artificial intelligence (AI) techniques, including both expert systems and neural networks. The emphasis will be placed on methods that can be implemented on a rapid or real-time basis. A second, but equally important, objective is to build a broadly based critical mass of expertise in the artificial intelligence, field that can be brought to bear on the technology of nuclear power plants. Both of these goals are being met. This overview and the attached technical reports describe the work that is being carried out. Although in some cases, the scope of the work differs somewhat from the specific tasks described in the original proposal, all activities are clearly within the overall scope of the contract.

  3. Energy Information: The Key to Cost-Effective Conservation

    E-Print Network [OSTI]

    McBride, J. R.; Flanagan, D. E.

    1998-01-01T23:59:59.000Z

    , technology assessment and energy savings verification purposes, there is growing interest in the use of permanently installed monitoring systems to provide information and ultimately intelligence related to facility or process energy system optimization, or...

  4. 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...

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. The Intelligence Behind the Robotic-Enabled System | 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:Energy: Grid Integration Redefining What'sis Taking Over Our InstagramStructureProposedPAGESafetyTed5,AuditTheImpactInforumIntelligence

  14. 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

  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 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.

  18. COOPENER Development and Energy in Africa

    E-Print Network [OSTI]

    DEA COOPENER Development and Energy in Africa Contract no. EIE/04/201/s07.43094 DEA Development and Energy in Africa Intelligent Energy Europe (IEE) Type of action: COOPENER Key action: VKA11 is part of the COOPENER project "Development and Energy in Africa (DEA)" initiated on 1 May 2005

  19. Corporate Energy Management Process

    E-Print Network [OSTI]

    Geiger, T.

    2013-01-01T23:59:59.000Z

    . May 21-24, 2013 Corporate Energy Management Process 2 ?Brief introduction to BASF ? BASF Corporate Energy Management ? Management Support ? Goals ? Continuous Improvement ? Best Practices ? Recognition ?Summary ESL-IE-13-05-25 Proceedings...-value products ? Intelligent, sustainable system solutions ? 2012 Sales: ?72.1 Billion ? Employees: 110,000 Company overview BASF ? The Chemical Company ESL-IE-13-05-25 Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA...

  20. 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.

  1. 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

  2. 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.

  3. Intelligent Coatings for Location And Detection of Leaks (IntelliCLAD)

    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 for

  4. 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, ...

  5. 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

  6. 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

  7. 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...

  8. 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...

  9. 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...

  10. 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

  11. 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...

  12. 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...

  13. 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 ...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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

  8. 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...

  9. 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...

  10. 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 ...

  11. 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...

  12. 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

  13. 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...

  14. 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...

  15. 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...

  16. 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.

  17. Integrating intelligent, energy-efficient technologies into modern office architecture

    SciTech Connect (OSTI)

    Beckering, J.

    1995-12-01T23:59:59.000Z

    Businesses are becoming more team-based, and the physical surroundings must change in order to support the new working methods. As a result, architectural and real estate requirement are changing. Fundamentally, facilities must reduce operating costs and become more efficient. It is also important to find a way to combat obsolescence. In many U.S. office buildings, the infrastructure can`t handle the requirements placed on it. This includes power distribution, signal distribution, and HVAC; all the computers brought into the office generate heat. Computers and other devices keep proliferating, and as a result, the infrastructure of buildings is obsolete in 7 to 10 years. One example is the Sears Tower in Chicago, which was built in 1972; by 1985 it could no longer handle the computer loads. This occurs everywhere. The changing office technology requires mobility. Work may be done in a train, a car, at home, or in an office building. A person may work with different teams in four or five different locations. The proliferation of electronic equipment adds up to an increase in power loads, and the bottom line is the increased demand on HVAC systems.

  18. Strategic Partnership for Sustainable Energy Innovation

    E-Print Network [OSTI]

    : Sustainable energy solutions independent of nuclear energy Highly qualified innovators that will be global-utilisation: biofuels from flue gases Source to use biomass value chain optimisation Platform 3: energy Intelligence International Communities: Access to partners from the local to the global level 4. InnOVATIOn Strategic

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. 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, ...

  7. 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

  8. 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

  9. 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...

  10. 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

  11. 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...

  12. 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

  13. Energy

    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 for4,645 3,625govInstrumentstdmadapInactiveVisitingContractElectron-StateEnergy /newsroom/_assets/images/energy-icon.png Energy

  14. 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

  15. 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

  16. 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)

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. Journal of Intelligent Material Systems and Structures

    E-Print Network [OSTI]

    Zuo, Lei

    , many technologies in energy harvesting, such as solar, wind, geothermal, and hydraulic power plants(s) 2013 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/1045389X13486707 jim.sagepub.com Large-scale vibration energy harvesting Lei Zuo and Xiudong Tang Abstract Nowadays, harvesting energy

  6. 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.

  7. 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.

  8. 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.

  9. Energy

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGasRelease Date:researchEmerging ThreatsEmployment Openings

  10. The Modern Energy Savings Route

    E-Print Network [OSTI]

    Smith, M.

    THE MODERN ENERGY SAVINGS ROUTE MATT SMITH President L.S. Enterprises 9801 West Bahia Vista Fort Myers, ABSTRACT In most operations, cooling towers are not purposely overlooked by Plant Personnel. However, the lack of knowledge about... their importance prevents energy managers from making intelligent, informed decisions. This paper will compare the various types of cooling towers in use. Their operational and energy usage considerations will be discussed with old and new techniques explained...

  11. 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

  12. Energy Frontier Research Centers

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here ‹ ›Energy.gov ToWelcome

  13. Energy Sciences Network (ESnet)

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here ‹ ›Energy.gov

  14. IEEE Energy2030 Atlanta, Georgia, USA

    E-Print Network [OSTI]

    Ratnasamy, Sylvia

    an innovative electric power architecture, rooted in lessons learned from the Internet and microgrids, whichIEEE Energy2030 Atlanta, Georgia, USA 17-18 November 2008 An Architecture for Local Energy-disruptive incremental adoption. Such a system, which we term a "LoCal" grid, is controlled by intelligent power switches

  15. Industrial Energy Systems Laboratory Gnie mcanique

    E-Print Network [OSTI]

    of the building. This enables the computation of distances and the integration of networks (i.e. district heatingIndustrial Energy Systems Laboratory SECTION DE Gnie mcanique Intelligent Generation of Eco-District of increasing energy consumption and the growing high populated urban areas is challenging urban district

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  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 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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...

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Energy

    Office of Legacy Management (LM)

    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 742EnergyOn AprilA group currentBradleyTableSelling CorpNew 1325.8.Enaineer;/:4,4 (; ...) "..

  1. Categorical Exclusion Determinations: Intelligence and Counterintelligence

    Energy Savers [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 directed offOCHCO OverviewAttachments EnergyFebruary3 CategoricalIdaho Categorical ExclusionIndiana|

  2. area etf effluent: Topics by E-print Network

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

    way as follows. If a, b Knapp, Michael 7 U.K. Gets a Timber and Forestry ETF, Where's October 15, 2007 at 4:00 pm by Tom Lydon Renewable Energy Websites Summary: the first iShares...

  3. Robotic Intelligent System | 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:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 to

  4. The Intelligent Systems, Robotics, and Cybernetics group

    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:Energy: Grid Integration Redefining What'sis Taking Over Our

  5. Proposal for Master Thesis: "Historic trajectories for building related energy technologies

    E-Print Network [OSTI]

    efficiency and renewable energy technologies is required. To support this development we need to understand for future energy efficient building and districts (e.g. intelligent faades, renewable energy hubs within the Swiss Competence Centre for Energy Research (SCCER) on Future Energy Efficient Buildings

  6. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here Western PagesPages

  7. Home - 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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here ‹FIRSTApplied ComputingHome

  8. Evaluation of selected energy options for a sustainable campus in Texas

    E-Print Network [OSTI]

    Clingenpeel, Kathryn Elaine

    2008-10-10T23:59:59.000Z

    This thesis examines ways to reduce energy consumption in university buildings. Occupancy based controls and other advanced building technologies being studied at the Intelligent Workplace (IW) at Carnegie Melon University were examined to see...

  9. Designing and Managing Datacenters Powered by Renewable Energy

    E-Print Network [OSTI]

    energy supply [1, 4, 6, 9, 11]. For high- est benefits, green datacenter operators must intelligently an expected load peak when the renewable energy is not avail- able). As far as we know, current greenDesigning and Managing Datacenters Powered by Renewable Energy I~nigo Goiri, William Katsak, Kien

  10. GREEN ENERGY ECONOMIES THE SEARCH FOR CLEAN AND RENEWABLE

    E-Print Network [OSTI]

    Delaware, University of

    to photovoltaics (PV) and other renewable energy installations, and grows by a factor of four when resources and more intelligent transport. 7,8,9 Additionally, every million USD invested in energy efficiency, ICT, energy efficiency, etc.--offer a development pathway that is less fuel-intensive while requiring

  11. ENERGY

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

    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 on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board Contributions EMEM RecoveryManagement'sJuneAprilEMS U.S.

  12. Energy

    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 Power AdministrationField Campaign:INEAWater UseCElizabethTwoJaniceEnerG2Energetics of Hydrogen .M

  13. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

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

    2013-12-30T23:59:59.000Z

    The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide deep demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-to-building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov- March) and a steam absorption chiller for use in the warm months (April-October). Lighting in the open office areas is provided by direct-indirect luminaries with Building Management System-based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load during the study period was 1175 kW. Several new tools facilitated this work, such as the Smart Energy Box, the distributed load controller or Energy Information Gateway, the web-based DR controller (dubbed the Central Load-Shed Coordinator or CLSC), and the Demand Response Capacity Assessment & Operation Assistance Tool (DRCAOT). In addition, an innovative data aggregator called sMAP (simple Measurement and Actuation Profile) allowed data from different sources collected in a compact form and facilitated detailed analysis of the building systems operation. A smart phone application (RAP or Rapid Audit Protocol) facilitated an inventory of the buildings plug loads. Carbon dioxide sensors located in conference rooms and classrooms allowed demand controlled ventilation. The extensive submetering and nimble access to this data provided great insight into the details of the building operation as well as quick diagnostics and analyses of tests. For example, students discovered a short-cycling chiller, a stuck damper, and a leaking cooling coil in the first field tests. For our final field tests, we were able to see how each zone was affected by the DR strategies (e.g., the offices on the 7th floor grew very warm quickly) and fine-tune the strategies accordingly.

  14. Visions of Future Intelligent Power Grids: Synergies for Collaboration Between the European Union and the United States

    SciTech Connect (OSTI)

    Coll-Mayor, Debora; Paget, Mia L.; Lightner, Eric M.; Sanchez-Jimenez, Manuel

    2007-01-01T23:59:59.000Z

    The future of power grids is expected to involve an increasing level of intelligence and integration of new information and communication technologies in every aspect of the electricity system, from demand-side devices to wide-scale distributed generation to a variety of energy markets. The vision of this future in the United States and the European Union is known as GridWiseTM and SmartGrid, respectively. The results of the examination of similarities and complementarities of the two research programs are presented in this paper. Within the framework of a solid precedence for trans-Atlantic cooperation in energy research, the time would seem optimal to set in motion active collaboration and educational exchange on GridWise and SmartGrid research. This paper will provide energy professionals with a comparison of the solutions developed in each case, to be aware of trans-Atlantic approaches, opportunities, and resources looking toward future, more intelligent and interconnected power grids.

  15. Information Technology and Intelligent Transportation: A

    E-Print Network [OSTI]

    Yehudai, Amiram

    Motorization Growth: Road Vehicle Populations by Region, 1996 and 2020 Source: EIA, International Energy Integration (VII) Initiative Graduate Program in Computational Transportation Science Conductive IT trends Integration (VII): A Federal Initiative Vision Information about all roads, all the time To control

  16. 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.

  17. 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.

  18. 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...

  19. 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 ...

  20. 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

  1. 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

  2. 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

  3. 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

  4. Foreign Energy Company Competitiveness: Background information

    SciTech Connect (OSTI)

    Weimar, M.R.; Freund, K.A.; Roop, J.M.

    1994-10-01T23:59:59.000Z

    This report provides background information to the report Energy Company Competitiveness: Little to Do With Subsidies (DOE 1994). The main body of this publication consists of data uncovered during the course of research on this DOE report. This data pertains to major government energy policies in each country studied. This report also provides a summary of the DOE report. In October 1993, the Office of Energy Intelligence, US Department of Energy (formerly the Office of Foreign Intelligence), requested that Pacific Northwest Laboratory prepare a report addressing policies and actions used by foreign governments to enhance the competitiveness of their energy firms. Pacific Northwest Laboratory prepared the report Energy Company Competitiveness Little to Do With Subsidies (DOE 1994), which provided the analysis requested by DOE. An appendix was also prepared, which provided extensive background documentation to the analysis. Because of the length of the appendix, Pacific Northwest Laboratory decided to publish this information separately, as contained in this report.

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

    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 any

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

    SciTech Connect (OSTI)

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

    2005-12-26T23:59:59.000Z

    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, we set up a dedicated high power, ultrafast laser system for fabricating in-fiber gratings in harsh environment optical fibers, successfully fabricated gratings in single crystal sapphire fibers by the high power laser system, and developed highly sensitive long period gratings (lpg) by electric arc. Under Task 2, relevant mathematical modeling studies of NOx formation in practical combustors. Studies show that in boiler systems with no swirl, the distributed temperature sensor may provide information sufficient to predict trends of NOx at the boiler exit. Under Task 3, we investigate a mathematical approach to extrapolation of the temperature distribution within a power plant boiler facility, using a combination of a modified neural network architecture and semigroup theory. The 3D temperature data is furnished by the Penn State Energy Institute using FLUENT. Given a set of empirical data with no analytic expression, we first develop an analytic description and then extend that model along a single axis. Extrapolation capability was demonstrated for estimating enthalpy in a power plant.

  7. 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.

  8. Worldwide threat assessment brief to the Senate Select Committee on intelligence statement for the record

    SciTech Connect (OSTI)

    Deutch, J.

    1996-02-22T23:59:59.000Z

    This report outlines the threats to the United States and its interests now and into the next century. We still call this the post-Cold War world. Among the opportunities and challenges of our time, there is not yet one dominant enough to define the era on its own terms and give it a name. Looking beyond our borders, we see much that is uncertain: The stability of many regions of the world is threatened by ethnic turmoil and humanitarian crises. Two great powers, Russia and China, are in the process of metamorphosis and their final shape is still very much in question.-Free nations of the world are threatened by rogue nations - - Iran, Iraq, North Korea, and Libya, that have built up significant military forces and seek to acquire weapons of mass destruction. The world community is under assault from those who deal in proliferation of weapons of mass destruction, terrorism, drugs and crime. And the interdependence of the world economy has made us more vulnerable to economic shocks beyond our borders. The strategic threat to our continent is reduced, but the potential for surprise is greater than it was in the days when we could focus our energies on the well-recognized instruments of Soviet power. No one challenge today is yet as formidable as the threat from the former Soviet Union. If nurtured by neglect on our part, these new challenges could expand to threaten the growth of democracy and free markets. All the tools of national security -- diplomacy, the military, and intelligence -- must remain sharp. It is the task of the Intelligence Community to provide policymakers and military commanders with early warning of emerging problems -- warning that can allow us to avoid crisis or military conflict. We must continuously monitor and assess the threats so that our leaders can manage these wisely.

  9. 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.

  10. Kic InnoEnergy SE High Tech Campus 69 5656 AG Eindhoven The Netherlands www.kic-innoenergy.com

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    Chemical Fuels (CC Germany), European Smart Electric Grid and Electric Storage (CC Sweden), Intelligent Energy-efficient Buildings and Cities (CC Benelux), Renewables, e.g. Wind, CSP, Photovoltaics, Wave

  11. 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...

  12. 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

  13. 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

  14. Department of Energy Idaho - Homepage

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here ‹ ›Energy.gov To Pluto

  15. 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

  16. Center for Intelligent Fuel Cell Materials Design

    SciTech Connect (OSTI)

    Santurri, P.R., (Chemsultants International); Hartmann-Thompson, C.; Keinath, S.E. (Michigan Molecular Inst.)

    2008-08-26T23:59:59.000Z

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

  17. 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

  18. 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

  19. 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

  20. 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.

  1. 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.

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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.

  4. Smart Meter Aware Domestic Energy Trading Agents Nicola Capodieci

    E-Print Network [OSTI]

    Aiello, Marco

    Smart Meter Aware Domestic Energy Trading Agents Nicola Capodieci University of Modena and RE illustrate an implementation includ- ing the interfacing with a physical Smart Meter and provide initial--Intelligent agents, Multiagent systems General Terms Design, Economy Keywords Energy trade, agents, smart meter 1

  5. REDD: A Public Data Set for Energy Disaggregation Research

    E-Print Network [OSTI]

    Willsky, Alan S.

    ], and the PASCAL challenge [2]. De- spite some initial progress towards this same goal for energyREDD: A Public Data Set for Energy Disaggregation Research J. Zico Kolter Computer Science And Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA kolter

  6. 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

  7. Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01T23:59:59.000Z

    account demand response signals, building?integratedofAutomatedDemandResponseinCommercialBuildings. andDemandResponseinCommercial Buildings. ,LBNL

  8. Predictive energy Optimization: The Next Generation of Energy Management

    E-Print Network [OSTI]

    Dickinson, P.

    2013-01-01T23:59:59.000Z

    energy management systems. A quantum leap in building intelligence is required to close the gap between the current state of building operations and the needs of smart grids and smart cities. Unfortunately for the building HVAC controls industry... information and other information and make informed decisions. These informed decisions present the quantum leap required to bridge the gap between buildings run on rules of thumb to the smart buildings required by smart grids and smart cities. Figure...

  9. Predictive energy Optimization: The Next Generation of Energy Management

    E-Print Network [OSTI]

    Dickinson, P.

    2013-01-01T23:59:59.000Z

    energy management systems. A quantum leap in building intelligence is required to close the gap between the current state of building operations and the needs of smart grids and smart cities. Unfortunately for the building HVAC controls industry... information and other information and make informed decisions. These informed decisions present the quantum leap required to bridge the gap between buildings run on rules of thumb to the smart buildings required by smart grids and smart cities. Figure...

  10. 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

  11. Light-Material Interactions in Energy Conversion - Energy Frontier 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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are hereNews item

  12. A Game-Theoretic Framework for Control of Distributed Renewable-Based Energy Resources in Smart Grids

    E-Print Network [OSTI]

    Liberzon, Daniel

    A Game-Theoretic Framework for Control of Distributed Renewable-Based Energy Resources in Smart¸ar Abstract-- Renewable energy plays an important role in distributed energy resources in smart grid systems. Deployment and integration of renewable energy resources require an intelligent management to optimize

  13. Center for Energy Efficient Materials

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here WesternWelcome to

  14. Combustion Energy Frontier Research Center

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here WesternWelcomeUpcomingHome

  15. Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency

    E-Print Network [OSTI]

    Boyer, Edmond

    Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency, intelligent building design, energy efficiency, construction costs, multi-objective optimization. 1 for the optimization of buildings, in terms of sustainable development, is the reduction of energy use (while also

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

    SciTech Connect (OSTI)

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

    2004-09-01T23:59:59.000Z

    The objective of the research and development work reported in this document was to develop a Virtual Intelligence Technique for optimization of the Preferred Upstream Management Practices (PUMP) for the upstream oil industry. The work included the development of a software tool for identification and optimization of the most influential parameters in upstream common practices as well as geological, geophysical and reservoir engineering studies. The work was performed in cooperation with three independent producing companies--Newfield Exploration, Chesapeake Energy, and Triad Energy--operating in the Golden Trend, Oklahoma. In order to protect data confidentiality, these companies are referred to as Company One, Two, Three in a randomly selected order. These producing companies provided geological, completion, and production data on 320 wells and participated in frequent technical discussions throughout the project. Research and development work was performed by Gas Technology Institute (GTI), West Virginia University (WVU), and Intelligent Solutions Inc. (ISI). Oklahoma Independent Petroleum Association (OIPA) participated in technology transfer and data acquisition efforts. Deliverables from the project are the present final report and a user-friendly software package (Appendix D) with two distinct functions: a characterization tool that identifies the most influential parameters in the upstream operations, and an optimization tool that seeks optimization by varying a number of influential parameters and investigating the coupled effects of these variations. The electronic version of this report is also included in Appendix D. The Golden Trend data were used for the first cut optimization of completion procedures. In the subsequent step, results from soft computing runs were used as the guide for detailed geophysical and reservoir engineering studies that characterize the cause-and-effect relationships between various parameters. The general workflow and the main performing units were as follows: (1) Data acquisition. (GTI, OIPA, Participating producers.) (2) Development of the virtual intelligence software. (WVU, ISI); (3) Application of the software on the acquired data. (GTI, ISI); (4) Detailed production analysis using conventional engineering techniques and the DECICE neural network software. (GTI) and (5) Detailed seismic analysis using Inspect spectral decomposition package and Hapmson-Russell's EMERGE inversion package. (GTI) Technology transfer took place through several workshops held at offices of the participating companies, at OIPA offices, and presentations at the SPE panel on soft computing applications and at the 2003 annual meeting of Texas Independent Producers and Royalty Owners Association (TIPRO). In addition, results were exhibited at the SPE annual meeting, published in GasTips, and placed on the GTI web page. Results from the research and development work were presented to the producing companies as a list of recommended recompletion wells and the corresponding optimized operations parameters. By the end of the project, 16 of the recommendations have been implemented the majority of which resulted in increased production rates to several folds. This constituted a comprehensive field demonstration with positive results.

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

    SciTech Connect (OSTI)

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

    2000-01-12T23:59:59.000Z

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

  18. Computational Intelligence for Deepwater Reservoir Depositional Environments Interpretation

    E-Print Network [OSTI]

    Yu, Tina; Clark, Julian; Sullivan, Morgan; 10.1016/j.jngse.2011.07.014

    2013-01-01T23:59:59.000Z

    Predicting oil recovery efficiency of a deepwater reservoir is a challenging task. One approach to characterize a deepwater reservoir and to predict its producibility is by analyzing its depositional information. This research proposes a deposition-based stratigraphic interpretation framework for deepwater reservoir characterization. In this framework, one critical task is the identification and labeling of the stratigraphic components in the reservoir, according to their depositional environments. This interpretation process is labor intensive and can produce different results depending on the stratigrapher who performs the analysis. To relieve stratigrapher's workload and to produce more consistent results, we have developed a novel methodology to automate this process using various computational intelligence techniques. Using a well log data set, we demonstrate that the developed methodology and the designed workflow can produce finite state transducer models that interpret deepwater reservoir depositional...

  19. Intelligence,Childhood Behaviour, and Locus of Control: Effects on Intergenerational Social Mobiliy.

    E-Print Network [OSTI]

    von Stumm, Sophie M R

    2007-11-24T23:59:59.000Z

    In a sample of 3,788 men from the British Cohort Study 1970, predictors of intergenerational social mobility were examined. Logistic regression models confirmed previous research outcomes: parental social class, intelligence, ...

  20. Intelligent Whale: a historical and archaeological analysis of an American Civil War submersible

    E-Print Network [OSTI]

    Hitchcock, Peter Winston

    2002-01-01T23:59:59.000Z

    The topic of this thesis is an American Civil War submersible known as the Intelligent Whale. Construction of the vessel began in 1863, but due to several obstacles it was not completed until 1869. Failing an open water test conducted...

  1. Air quality and Intelligent Transportation Systems : understanding Integrated Innovation, Deployment and Adaptation of Public Technologies

    E-Print Network [OSTI]

    Dodder, Rebecca Susanne

    2006-01-01T23:59:59.000Z

    During the past two decades, Intelligent Transportation Systems (ITS) have provided transportation organizations with increasingly advanced tools both to operate and manage systems in real-time. At the same time, federal ...

  2. Control and Intelligent Systems, Vol. 33, No. 3, 2005 DECENTRALIZED FLIGHT CONTROL

    E-Print Network [OSTI]

    Liu, Hugh H.T.

    Control and Intelligent Systems, Vol. 33, No. 3, 2005 DECENTRALIZED FLIGHT CONTROL INTEGRATION- tation, and is well fitted into a systematic flight control systems development and engineering process Words Decentralized control, control integration, performance analysis 1. Introduction Modern flight

  3. When Waste Becomes Intelligent: Assessing the Environmental Impact of Microchip Tagging

    E-Print Network [OSTI]

    When Waste Becomes Intelligent: Assessing the Environmental Impact of Microchip Tagging Claudia Binder1 , Svetlana Domnitcheva2 1 Natural and Social Science Interface Department of Environmental recognition of several tags. Many shops are already successfully using such systems as prevention

  4. Synchrophasor Measurement Using Substation Intelligent Electronic Devices: Algorithms and Test Methodology

    E-Print Network [OSTI]

    Ren, Jinfeng

    2012-02-14T23:59:59.000Z

    This dissertation studies the performance of synchrophasor measurement obtained using substation Intelligent Electronic Devices (IEDs) and proposes new algorithms and test methodology to improve and verify their performance when used in power system...

  5. U.S. Intelligence and the origins of the Vietnam War, 1962 - 1965

    E-Print Network [OSTI]

    Ochiai, Yukiko

    2011-07-04T23:59:59.000Z

    Analysing documents produced by the CIA, the State Department and the Pentagon, the thesis examines the role of intelligence assessment in U.S. Vietnam policy during the period between December 1961 and February 1965. ...

  6. Workshop on Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications, Chania, Greece, 1999

    E-Print Network [OSTI]

    Kansas, University of

    , Chania, Greece, 1999 1 INTELLIGENT FUSION OF MULTISOURCE DATA FOR SEA ICE CLASSIFICATION Costas, Greece, 1999 2 2. SEGMENTATION OF THE SAR IMAGE ARKTOS receives RADARSAT images from many of the ground

  7. Control Engineering Practice 11 (2003) 163170 A mechatronic conception of a new intelligent braking system

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , residual friction, noise, vibrations, a new brake has been designed according to a modular principle which describes a new intelligent braking system for motor vehicles. A mechatronic approach helped to avoid some

  8. Intelligent Whale: a historical and archaeological analysis of an American Civil War submersible

    E-Print Network [OSTI]

    Hitchcock, Peter Winston

    2002-01-01T23:59:59.000Z

    The topic of this thesis is an American Civil War submersible known as the Intelligent Whale. Construction of the vessel began in 1863, but due to several obstacles it was not completed until 1869. Failing an open water ...

  9. Quality versus Intelligibility: Evaluating the Coding Trade-offs for American Sign Language Video

    E-Print Network [OSTI]

    Hemami, Sheila S.

    University, Ithaca, NY 14853 Abstract--Real-time videoconferencing using cellular devices provides natural increases in PSNR can be achieved at the price of reduced intelligibility. I. INTRODUCTION Real-time, two

  10. Synergy Between Building Rating Systems and Design Methodology for Intelligent and Green Buildings

    E-Print Network [OSTI]

    Zeiler, W.; Boxem, G.

    . What is needed is a new integral design approach which enables to integrate the different aspects of green and intelligent buildings in a supportive framework during the design process. Especially the focus is on Multi Criteria Decision making within...

  11. The Identification and Optimization of the HVAC Partial Subsystems in Intelligent Buildings

    E-Print Network [OSTI]

    Zhao, Z.; Xiong, Y.

    2004-01-01T23:59:59.000Z

    This paper presents on modeling of outside air systems (OAS) and air condition systems (ACS) of intelligent buildings (IB). The open loop identification estimation method is adopted for uncorrelated noises between the input and output (I...

  12. A systems thinking approach to business intelligence solutions based on cloud computing

    E-Print Network [OSTI]

    Reyes, Eumir P. (Eumir Paulo Reyes Morales)

    2010-01-01T23:59:59.000Z

    Business intelligence is the set of tools, processes, practices and people that are used to take advantage of information to support decision making in the organizations. Cloud computing is a new paradigm for offering ...

  13. i-Seek : an intelligent system for eliciting and explaining knowledge

    E-Print Network [OSTI]

    Kumar, Ashwani, S.M. Massachusetts Institute of Technology

    2005-01-01T23:59:59.000Z

    We propose i-Seek, an Intelligent System for Eliciting and Explaining Knowledge that leverages the OpenMind [1] Commonsense knowledge base in conjunction with domain- specific knowledge in Personal Finance, Technical Help, ...

  14. Michael Beetz, Lorenz Mosenlechner, Moritz Tenorth, Thomas Ruhr Intelligent Autonomous Systems Group, Technische Universitat Munchen

    E-Print Network [OSTI]

    Michael Beetz, Lorenz Mosenlechner, Moritz Tenorth, Thomas Ruhr Intelligent Autonomous Systems Group, Technische Universitat Munchen {beetz,moesenle,tenorth,ruehr}@cs.tum.edu CRAM a Cognitive

  15. AVOIDING DEADLOCK USING PRICING STRATEGIES FOR NETWORKS OF INTELLIGENT PERSONAL ASSISTANTS

    E-Print Network [OSTI]

    De Wilde, Philippe

    of Electrical and Electronic Engineering, London SW7 2BT, United Kingdom Intelligent Systems Research, Advanced agents in an in- formation economy, and engage in dynamic pric- ing of their services, as in [7

  16. Intelligent executive guidance agent for general aviation aircraft under free flight

    E-Print Network [OSTI]

    Rong, Jie

    2002-01-01T23:59:59.000Z

    INTELLIGENT EXECUTIVE GUIDANCE AGENT FOR GENERAL AVIATION AIRCRAFT UNDER FREE FLIGHT A Thesis by JIE RONG Subnutted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE August 2002 Malor Subject: Aerospace Engineering INTELLIGENT EXECUTIVE GUIDANCE AGENT FOR GENERAL AVIATION AIRCRAFT UNDER FREE FLIGHT A Thesis by JIE RONG Submitted to Texas A&M University in partial fulfillment of the requirements...

  17. The use of intelligence information to identify the foreign interests of entities involved with DOE programs

    SciTech Connect (OSTI)

    Not Available

    1993-10-22T23:59:59.000Z

    This report investigates whether DOE activities could benefit from greater and more consistent access to intelligence information on selected entities with foreign interests. It does not cover dual-use and munition commodities. The investigation determined what information was available from the national intelligence community and law enforcement agencies that would have prevented DOE contracts with selected entities if the information had been available and regulations regarding contracts with selected entities had been enforced.

  18. Coherent and generalized intelligent states for infinite square well potential and nonlinear oscillators

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13T23:59:59.000Z

    This article is an illustration of the construction of coherent and generalized intelligent states which has been recently proposed by us for an arbitrary quantum system $[ 1] $. We treat the quantum system submitted to the infinite square well potential and the nonlinear oscillators. By means of the analytical representation of the coherent states \\`{a} la Gazeau-Klauder and those \\`{a} la Klauder-Perelomov, we derive the generalized intelligent states in analytical ways.

  19. Minimizing energy consumption for handheld computers in Moby Dick Paul J.M. Havinga, Gerard J.M. Smit

    E-Print Network [OSTI]

    Havinga, Paul J.M.

    Minimizing energy consumption for handheld computers in Moby Dick Paul J.M. Havinga, Gerard J to reduce energy consumption for mobile comput- ers. We use extra dedicated low-power modules to cut's battery resources much effort is put in reducing energy consumption in this part. We use intelligent

  20. DEPARTMENT OF ENERGY (DOE) RESEARCH AND TECHNICAL ASSISTANCE PROGRAM

    E-Print Network [OSTI]

    Cooperation Act of 1968 (P.L. 90-577). DOE also uses the general parameters of the Office of Management, counter- terrorism, energy planning and analysis, or transportation systems assistance for an Intelligent, development projects, technical tests and evaluations, technical information, training activities, surveys

  1. DEPARTMENT OF ENERGY (DOE) RESEARCH AND TECHNICAL ASSISTANCE PROGRAM

    E-Print Network [OSTI]

    and the Intergovernmental Cooperation Act of 1968 (P.L. 90-577). DOE follows the criteria in Office of Management and Budget-terrorism, energy planning and analysis, or transportation systems assistance for an Intelligent Transportation and evaluations, technical information, training activities, surveys, reports, documents, and any other similar

  2. R&D and deployment valuation of intelligent transportation systems : a case example of the intersection collision avoidance systems

    E-Print Network [OSTI]

    Hodota, Kenichi

    2006-01-01T23:59:59.000Z

    Compared with investments in the conventional infrastructure, those in Intelligent Transportation Technology (ITS) include various uncertainties. Because deployment of ITS requires close public-private partnership, projects ...

  3. Information-Centric Energy Infrastructure Page 1 An Information-Centric Energy Infrastructure: The Berkeley View1

    E-Print Network [OSTI]

    California at Irvine, University of

    infrastructure, by pushing intelligence to the edges while hiding the diversity of underlying technologies together of distributed communication technologies and distributed renewable energies via an open access it is showing its age. The Grid as it exists today is characterized by centralized generation via large plants

  4. Sensorcam: An Energy-Efficient Smart Wireless Camera for Environmental Monitoring

    E-Print Network [OSTI]

    Vetterli, Martin

    and the "intelligence" of the camera it- self, we demonstrate an energy-efficient wireless monitoring system in a realSensorcam: An Energy-Efficient Smart Wireless Camera for Environmental Monitoring Zichong Chen camera running a Linux-base open system. Through better power manage- ment in idle period

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

    SciTech Connect (OSTI)

    Paul Tubel

    2003-03-24T23:59:59.000Z

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

  6. Top-Down Intelligent Reservoir Modeling of New Albany Shale A. Kalantari-Dahaghi, SPE, S.D. Mohaghegh, SPE, West Virginia University

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE 125859 Top-Down Intelligent Reservoir Modeling of New Albany Shale A. Kalantari-Dahaghi, SPE, S-cellular model. Top-Down intelligent reservoir modeling(TDIRM) starts by analyzing the production data using

  7. Proc. International Workshop on Advanced Robotics and Intelligent Machines, 25-26 March 1997, University of Salford, Manchester UK, ISSN 1363-2698, paper no. 8. Proc. International Workshop on Advanced Robotics and Intelligent Machines, 25-26 March 1997,

    E-Print Network [OSTI]

    Bugmann, Guido

    Proc. International Workshop on Advanced Robotics and Intelligent Machines, 25-26 March 1997 on Advanced Robotics and Intelligent Machines, 25-26 March 1997, University of Salford, Manchester UK, ISSN, 25-26 March 1997, University of Salford, Manchester UK, ISSN 1363-2698, paper no. 8. #12;Proc

  8. In Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE94)

    E-Print Network [OSTI]

    Kuipers, Benjamin

    of Artificial Intelligence and Expert Systems (IEA/AIE94) Langhorne, PA: Gordon and Breech Science Publishers

  9. Intelligent choice of the number of clusters in K-Means clustering: an experimental study with different cluster spreads1

    E-Print Network [OSTI]

    Mirkin, Boris

    1 Intelligent choice of the number of clusters in K-Means clustering: an experimental study The issue of determining "the right number of clusters" in K-Means has attracted considerable interest of the cluster recovery. The subjects of our interest are two versions of the "intelligent" K-Means method, ik

  10. Business Intelligence (BI) Developer Computer Methods International Corp. (CMiC) is a software Development firm specializing in

    E-Print Network [OSTI]

    Ellis, Randy

    Business Intelligence (BI) Developer Computer Methods International Corp. (CMiC) is a software Intelligence modules relating to Jaspersoft within our application. This position reports directly to the Manager of the Reports & BI Group. Duties and responsibilities (may include, but are not limited to

  11. An Artificial Intelligence system to help the player of Real-Time Strategy games Renato L. de Freitas Cunha Luiz Chaimowicz

    E-Print Network [OSTI]

    Chaimowicz, Luiz

    An Artificial Intelligence system to help the player of Real-Time Strategy games Renato L. de propose and develop an Artificial Intelligence (AI) system that helps the player during the game, giving and develop an Artificial Intelligence (AI) system that helps the player during the game, giving him tactical

  12. Demonstration of Intelligent Control and Fan Improvements in Computer Room

    E-Print Network [OSTI]

    Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department of the energy efficiency improvement projects associated with the facility studied in this demonstration Services for his support with supplying historical information related to the data center site used

  13. Toward Digital Ecologies:Intelligent Agent Networks Controlling Interdependent Infrastructures

    E-Print Network [OSTI]

    Ulieru, Mihaela

    -renewable energy sources just at the time that smart grid technologies additionally permit integration of new, renewable forms of energy production into the grid (e.g., wind, solar). As demand falls and non throughout the developed world are investing in modernization of their energy grids. The SmartGrid

  14. NERSC: National Energy Research Scientific Computing Center

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are hereNews item$altMagnet

  15. National Renewable Energy Laboratory (NREL) Home Page

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are hereNewsOur site will be down for

  16. Office of International Affairs | 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

  17. Office of Management | 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

  18. Office of Technology Transitions | 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 CounterintelligenceNEPA

  19. Southeastern Power Administration | 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 andGeneralonlinetools

  20. Center for Advanced Energy Studies homepage

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here Western

  1. Center for Energy Nanoscience at USC

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here WesternWelcome toAbout CEN is

  2. Center on Nanostructuring for Efficient Energy Conversion

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here WesternWelcomeUpcoming

  3. 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

  4. AGRO-ENERGY PRODUCTION AS A DRIVING FORCE IN THE SOCIO-ECOLOGICAL TRANSITION OF RURAL ENVIRONMENTS: A SIGNIFICANT CASE STUDY WITHIN THE ALTA

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    1 AGRO-ENERGY PRODUCTION AS A DRIVING FORCE IN THE SOCIO-ECOLOGICAL TRANSITION OF RURAL Intelligence, Lige 2011., Lige : Belgium (2011)" #12;2 Agro-energy production as a driving force in the socio the way to consider the relationship between energy production and consumption and the context in which

  5. Intelligent system design with fixed-base simulation validation for general aviation

    E-Print Network [OSTI]

    Rong, Jie; Ding, Yuanyuan; Valasek, J.; Painter, John H.

    2003-10-05T23:59:59.000Z

    Proceedmgs of the 2003 IEEE International Symposium on Intelligent Control Houston Texas *October 5-8.2003 Intelligent System Design with Fixed-Base S imu 1 at i on Va 1 i d a t i on for G en er a 1 Av i at i on Jie Rong Yuanyuan Ding John... Commander 700, which is a light twin-engine, typical CA aircraft. This simulation model also possesses a three-axis autopilot with gain scheduling 0-7803-7891-1/03/$17.00 0 2003 IEEE 580 Authorized licensed use limited to: Texas A M University...

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

    SciTech Connect (OSTI)

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

    2013-12-09T23:59:59.000Z

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

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

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

    Administrator of the Energy Information Administration Subject: Implications of Refinery Closures for U.S. Homeland Security and Critical Infrastructure Safety...

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

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

    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 on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy Vehicleof Energy

  9. FUTURE POWER GRID INITIATIVE An Intelligent Agent Platform

    E-Print Network [OSTI]

    Sequencing For Managing Demand/Response IMPACT VOLTTRON fills the need for an independent language agnostic. This will allow customers, building owners, utilities, etc. to realize better energy efficiency and reliability the integrating platform for a DOE funded project combining multiple labs and vendors for building energy

  10. Intelligent Building Automation: A Demand Response Management Perspective

    E-Print Network [OSTI]

    Qazi, T.

    2010-01-01T23:59:59.000Z

    the energy consumption in response to energy price fluctuations, demand charges, or a direct request to reduce demand when the power grid reaches critical levels. However, in order for a demand response regime to be effective the building will need to have a...

  11. 2015 Vehicle Buyer's Guide (Brochure), Clean Cities, Energy Efficiency & Renewable Energy (EERE)

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are ABOUT US ITERAbout SEDSPassword

  12. 2013 Renewable Energy Data Book (Book), NREL (National Renewable Energy Laboratory)

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are ABOUT

  13. Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings

    E-Print Network [OSTI]

    Agogino, Alice M.

    Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings Yao, daylighting systems are not widely used in the commercial office building. Barriers prohibiting adoption) `Smart Dust motes' wireless platforms is explored. Due to their small size, they can be placed directly

  14. Alan Turing, at age 35, about the time he wrote "Intelligent Machinery"

    E-Print Network [OSTI]

    Robins, Gabriel

    Alan Turing, at age 35, about the time he wrote "Intelligent Machinery" Copyright 1998 Scientific American, Inc. #12;Alan Turing's Forgotten Ideas in Computer Science Scientific American April 1999 99 Alan anticipated neural-network computers and "hypercomputation" by B. Jack Copeland and Diane Proudfoot AlanTuring

  15. International Journal on Artificial Intelligence Tools Vol. 15, No. 1 (2006) 2152

    E-Print Network [OSTI]

    Baumgartner, Peter

    International Journal on Artificial Intelligence Tools Vol. 15, No. 1 (2006) 21­52 c World Evolution Calculus lifts the DPLL procedure to first-order logic. Darwin is meant to be a fast and clean out with problems from the CASC-J2 system competition and parts of the TPTP Problem Library

  16. Business Intelligence Modeling: A Case Study of Disaster Management Organization in Pakistan

    E-Print Network [OSTI]

    Fong, Chi Chiu "Simon"

    Business Intelligence Modeling: A Case Study of Disaster Management Organization in Pakistan Sohail Asghar Department of Computer Science Mohammad Ali Jinnah University, Islamabad, Pakistan e-mail: sohail@umac.mo Touqeer Hussain Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan e

  17. CIMSA 2005 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    practices identification and analysis based on soft computing techniques. Using this new methodology "best of this methodology to a problem in the petroleum industry is presented. Keywords Soft Computing, Best PracticesCIMSA 2005 IEEE International Conference on Computational Intelligence for Measurement Systems

  18. Provable Systemwide Safety in Intelligent Intersections Hemant Kowshik, Derek Caveney, and P. R. Kumar

    E-Print Network [OSTI]

    for each car a set of cars whose worst case behaviors it should guard against. The architecture is hybrid are removed, and cars negotiate the intersection through an interac- tion of centralized and distributed decision making. Intelligent intersections are representative of complex hybrid systems

  19. On Improving the Intelligibility of Synchronized Over-lap-and-Add (SOLA) at Low TSM Factor

    E-Print Network [OSTI]

    Wong, Peter Hon-Wah

    On Improving the Intelligibility of Synchronized Over- lap-and-Add (SOLA) at Low TSM Factor Peter H-7053** ABSTRACT In this paper, we propose an algorithm to modify the Synchronized Overlap-and-Add (SOLA) technique. SOLA is a popular technique for time scale modification of speech and audio signal. It changes the time

  20. Swarm Intelligence and the Holonic Paradigm: A Promising Symbiosis for a Medical Diagnostic System

    E-Print Network [OSTI]

    Ulieru, Mihaela

    Swarm Intelligence and the Holonic Paradigm: A Promising Symbiosis for a Medical Diagnostic System intelli- gence to structure knowledge in holonic patterns is presented. The system sets up on an alliance techniques with the holonic #12;paradigm (see [1], [2] for the first papers proposing the idea of a holonic