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Sample records for knapp energy intelligence

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

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

    of radionuclides for nuclear medicine. Following the completion of his Ph.D. in biochemistry at the St. Louis University School of Medicine in 1970, Russ Knapp was a National...

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

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

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

    of commercial energy management systems, IEEE Transactionsfor intelligent energy management systems of resi- dentialin an intelligent energy management system, three approaches

  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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt.InfinifuelInovaEnergy

  5. Intelligent Efficiency: the Next Generation of Energy Efficiency 

    E-Print Network [OSTI]

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

    2012-01-01

    , there will be a structural change in how we use energy. This paper explores the next generation of energy efficiency: what we call intelligent efficiency. Building on recent work in this area, this paper will define intelligent efficiency and provide specific case...

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

    E-Print Network [OSTI]

    Jain, Raj

    . Building environments are significant sources of global energy consumption. To create energy efficient in the intelligent buildings to realize the goals of coordination, integration, and energy efficiency. Also, we Efficient Intelligent Buildings Jianli Pan1, 3, a , Shanzhi Chen2, b , Raj Jain3, c , Subharthi Paul3, d 1

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100NationalquestionnairesDrought-inducedPhotoRoboRAVERobotics - Intelligence

  8. Intelligent energy aware networks Y. Audzevich1

    E-Print Network [OSTI]

    Haddadi, Hamed

    of renewable energy to reduce the CO2 emission of IP over WDM networks. Issues including how to use renewable energy (solar in this work) more effectively, how to reduce the non- renewable energy consumption renewable energy, and load dependent energy consumption are considered. Thirdly we discuss workload

  9. 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

  10. INGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIA

    E-Print Network [OSTI]

    DATTA, SHOUMEN

    2009-06-01

    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 ...

  11. INGRID ENERGY EFFICIENCY: QUEST FOR INTELLIGENT MITOCHONDRIA

    E-Print Network [OSTI]

    DATTA, SHOUMEN

    2009-06-04

    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 ...

  12. 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 processing to allow the adequate information integration and resource control in the energy distribution the energy distribution enterprise information. Reading the electronic energy meters is made through

  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 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

  14. 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

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual PropertyEnergy Analysis Energy

  16. INTELLIGENT ENERGY CHOICES Lori L. Scarlatos1

    E-Print Network [OSTI]

    Scarlatos, Lori

    of their energy choices. We have developed an agent-based simulation in which the world's twenty-five most populous countries are represented by autonomous agents. Using initial data from the World Bank and other described in this paper relies on real data from the World Bank [5] to establish both initial values

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01 Sandia4) August 20123/%2A en NNSAReferenceScoping2Bret E Knapp

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual PropertyEnergy

  19. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimenMakingBiofuels Jump to:Energy/Infinite Energy, Inc.

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

    E-Print Network [OSTI]

    be significantly reduced. Congress has established a national goal of achieving net-zero energy buildings by 2030, and Infrastructure Date Prepared: May 31, 2013 Summary: Congress has established a national goal of achieving net-zero1 EL Program: Embedded Intelligence in Buildings Program Manager: Steven Bushby, Energy

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

    E-Print Network [OSTI]

    Bernstein, R.

    2010-01-01

    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" is only a small piece...

  2. 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

  3. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimenMakingBiofuels Jump to:Energy/Infinite Energy,

  4. 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 Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S. Department of EnergyPresentationOverview of

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

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAandSummaryDIST OFMEAG, Dalton2ProgramAreaLaboratory | Departmentof

  6. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EAInvervar Hydro JumpHuariKeewatinKenya: EnergyKhandelwalKimmel

  7. Artificial Intelligence Intelligent Agents

    E-Print Network [OSTI]

    Voris, Jonathan

    CS W4701 Artificial Intelligence Fall 2013 Chapter 2: Intelligent Agents Jonathan Voris (based, Environment, Actuators, Sensors) · Environment types · Agent types #12;Agents · An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through actuators

  8. 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

  9. Draft version of "Joo Carlos Ferreira, Alberto Rodrigues da Silva, Vtor Monteiro and Joo L. Afonso. Collaborative Broker for Distrib-uted Energy Resources. in Computational Intelligence and Decision Making -Trends and Applications (From Intelligent System

    E-Print Network [OSTI]

    da Silva, Alberto Rodrigues

    In this work it is proposed the design of a system to handle Distributed Energy Resources (DER), which is a new converge under the name of DER (Distributed Energy Resources) as part of an intelligent power system://link.springer.com/chapter/10.1007/978-94-007-4722-7_34 Collaborative Broker for Distributed Energy Resources João Carlos

  10. Copyright 2006, Society of Petroleum Engineers This paper was prepared for presentation at the 2006 SPE Intelligent Energy Conference and

    E-Print Network [OSTI]

    Hwang, Kai

    Copyright 2006, Society of Petroleum Engineers This paper was prepared for presentation at the 2006 SPE Intelligent Energy Conference and Exhibition held in Amsterdam, The Netherlands, 11­13 April 2006 reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material

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

    SciTech Connect (OSTI)

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

    2008-05-31

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

  12. 379ISSN 2042-630510.2217/CER.13.41 2013 Future Medicine Ltd 2(4), 379381 (2013) Evaluation of: Henderson C, Knapp M, Fernndez J-L et al. Cost effectiveness

    E-Print Network [OSTI]

    Yu, Ping

    2013-01-01

    -term investigations [1]. Most economic evaluations have not been in accordance with standard evaluation techniques [2. The paper reviewed here describes an economic evaluation of telehealth in the routine management in England) Evaluation of: Henderson C, Knapp M, Fernández J-L et al. Cost effectiveness of telehealth for patients

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

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01

    Co?simulation  of  Building  Energy  and  Control  Systems Development  in  Building  Energy  and  Control  Systems.  by  the  Assistant  Secretary  for  Energy  Efficiency  and 

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

    E-Print Network [OSTI]

    Schmidt, F.; Neumann, C.

    2008-01-01

    intelligent monitoring procedures. The implementation of the EPBD in the participating European countries is quite different. Therefore a 4-step procedure was developed in the framework of the Building EQ project. This procedure follows a general top...

  15. Subcommittee Intelligence

    E-Print Network [OSTI]

    Ernst, Damien

    Intelligence Methods for Voltage Stability Assessment Louis WEHENKEL University of Li` ege ­ Belgium I. (Quick) reasoning mechanisms ffl Today : towards data (and computationally) intensive methods ) Data mining

  16. Artificial Intelligence 

    E-Print Network [OSTI]

    Appleton, D. S.

    1985-01-01

    This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence is, and to make a...

  17. 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]

    Lunds Universitet,

    on Software Engineering and Artificial Intelligence for High Energy and Nuclear Physics, Pisa, Italy, April 3Proceedings 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

  18. INTELLIGENT ENGINEERING

    E-Print Network [OSTI]

    Ernst, Damien

    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.6 Examples : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 32 5.6.1 Hydro

  19. Intelligent Extruder

    SciTech Connect (OSTI)

    AlperEker; Mark Giammattia; Paul Houpt; Aditya Kumar; Oscar Montero; Minesh Shah; Norberto Silvi; Timothy Cribbs

    2003-04-24

    ''Intelligent Extruder'' described in this report is a software system and associated support services for monitoring and control of compounding extruders to improve material quality, reduce waste and energy use, with minimal addition of new sensors or changes to the factory floor system components. Emphasis is on process improvements to the mixing, melting and de-volatilization of base resins, fillers, pigments, fire retardants and other additives in the :finishing'' stage of high value added engineering polymer materials. While GE Plastics materials were used for experimental studies throughout the program, the concepts and principles are broadly applicable to other manufacturers materials. The project involved a joint collaboration among GE Global Research, GE Industrial Systems and Coperion Werner & Pleiderer, USA, a major manufacturer of compounding equipment. Scope of the program included development of a algorithms for monitoring process material viscosity without rheological sensors or generating waste streams, a novel detection scheme for rapid detection of process upsets and an adaptive feedback control system to compensate for process upsets where at line adjustments are feasible. Software algorithms were implemented and tested on a laboratory scale extruder (50 lb/hr) at GE Global Research and data from a production scale system (2000 lb/hr) at GE Plastics was used to validate the monitoring and detection software. Although not evaluated experimentally, a new concept for extruder process monitoring through estimation of high frequency drive torque without strain gauges is developed and demonstrated in simulation. A plan to commercialize the software system is outlined, but commercialization has not been completed.

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

    E-Print Network [OSTI]

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

    2005-01-01

    Habitability and Energy Efficiency in Buildings. ” PublishedHabitability and Energy Efficiency in Buildings. ” PublishedHabitability and Energy Efficiency in Buildings. ” Published

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

    Optimization (Right) from Energy and Comfort Defaults (Optimization ( Right) from Learned Energy and ComfortOptimization (Right) from Energy and Comfort Defaults (Left)

  2. Intelligent Light Control using Sensor Networks Vipul Singhvi

    E-Print Network [OSTI]

    Murphy, Robert F.

    Intelligent Light Control using Sensor Networks Vipul Singhvi Civil Engineering Dept. Carnegie as an intelligent lighting control strategy that significantly reduces energy cost. Our approach is based sensor networks to optimize the trade- off between fulfilling different occupants' light preferences

  3. Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Brady, Michael

    1984-02-01

    Since Robotics is the field concerned with the connection of perception to action, Artificial Intelligence must have a central role in Robotics if the connection is to be intelligent. Artificial Intelligence addresses ...

  4. Abstract--Although wireless microsensors can add performance-enhancing and energy-saving intelligence to

    E-Print Network [OSTI]

    Rincon-Mora, Gabriel A.

    Abstract--Although wireless microsensors can add performance-enhancing and energy-saving implants [2] use to improve performance and save energy. Collecting, processing, storing, and transmitting] and recharging an onboard battery CBAT [6], the system can save battery energy and operate later, on demand

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

    E-Print Network [OSTI]

    Tronci, Enrico

    : to minimise energy usage and cost for each home, and to support the Distribution Network Operator (DNO) in optimising operation of the Electric Distribution Network (EDN). SmartHG goals are achieved solar panels)], for each time slot (say each hour) the DNO price policy defines an interval of energy

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

    E-Print Network [OSTI]

    Wang, Lingfeng

    2009-05-15

    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...

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

    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

  8. Artificial Intelligence Daniel Polani

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Daniel Polani Artificial Intelligence ­ p.1/26 Is it AI? 1. text editor 2 12. Turing test contenders Artificial Intellige The Turing Test: is partner human or not? See: e.g. [Saygin et al., 2000] Artificial Intelligence ­ p.3/26 The Turing Test II

  9. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity for Low EmissionTianhong Silicon Material CoShalerShamil

  10. Industrial Applications of Artificial Intelligence

    E-Print Network [OSTI]

    Fox, Mark S.

    Industrial Applications of Artificial Intelligence 301 Mark S. Fox Intelligent Systems Laboratory and future applicationsof Artificial Intelligence (AI) and Knowledge-Based systems to manufactur- ing is taking a systemic view of manufacturing. Keywords: Artificial Intelligence and Manufacturing, Knowl- edge

  11. 478 IEEE Transactionson Energy Conversion,vol.7, No. 3, September1092. THE PENN STATE INTELLIGENT DISTRIBUTED CONTROL RESEARCH LABORATORY

    E-Print Network [OSTI]

    Ray, Asok

    also been interfaced to the PSU TRIGA nuclear research reactor and enables research in optimal, robust,microprocessor-based control, intelligent control, robust control, distributed control, hierarchical control, nuclear power reactor power plant. This test-bed, which may be expanded to simulate other nuclear power plant

  12. Intelligent Economic Alarm Processor (IEAP) 

    E-Print Network [OSTI]

    Guan, Yufan

    2013-08-06

    ): ?The 21st Substation Design?, and ??Verifying Interoperability and Application Performance of PMUs and PMU-enabled IEDs at the Device and System Level?. The fourth one is funded by Advanced Research Agency- Energy (ARPA-E) through Green Electricity... Energy Management System MMS Market Management System SCADA Supervisory Control and Data Acquisition PMU Phasor Measurement Unit IED Intelligent Electronic Device ISO Independent System Operator SPS Special Protection Schemes ATC Available...

  13. Encyclopedia of Artificial Intelligence

    E-Print Network [OSTI]

    Liang, Faming

    Encyclopedia of Artificial Intelligence Juan Ramón Rabuñal Dopico University of A Coruña, Spain of artificial intelligence / Juan Ramon Rabunal Dopico, Julian Dorado de la Calle, and Alejandro Pazos Sierra) -- ISBN 978-1-59904-850-5 (ebook) 1. Artificial intelligence--Encyclopedias. I. Rabunal, Juan Ramon, 1973

  14. Interpretation Intelligent Systems Laboratory

    E-Print Network [OSTI]

    Ward, Koren

    1 TENS Text Interpretation Intelligent Systems Laboratory University of Wollongong TENS Text and delivering the text data to the user by electrically stimulating the fingers. Intelligent Systems Laboratory ­ University of Wollongong #12;2 The TENS Unit Intelligent Systems Laboratory ­ University of Wollongong

  15. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

    Artificial Intelligence Decision and Information Daniel Polani Artificial Intelligence ­ p.1/26 Decisions: The Fundamental Task Motivation: everything in Artificial Intelligence is basical about taking Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about

  16. 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

  17. Symposium on Intelligent Embedded Systems (IES 2014) at IEEE Symposium Series in Computational Intelligence 2014

    E-Print Network [OSTI]

    Alippi, Cesare

    with sensors, actuators and computational intelligence -based computing ability, permeate our daily life of Things · Intelligent sensor networks · Intelligent sensors and robotics · Intelligent measurement systems-world applications Keywords Embedded systems, fault-diagnosis systems, intelligent applications, intelligent sensors

  18. Constructive Artificial Intelligence Information Theory

    E-Print Network [OSTI]

    Polani, Daniel

    Constructive Artificial Intelligence Information Theory Daniel Polani School of Computer Science referenced. Constructive Artificial Intelligence #12;Coin Weighing Problem (after Denker 2004) Problem Given (minimax principle) Constructive Artificial Intelligence #12;Considerations Note in a measurement, left

  19. LED Market Intelligence Report

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

    around dimming capabilities. 16 LED Market Intelligence Report Home Depot Walmart Cree Philips TCP GE LSG Osram Feit Costco Lowe's Retail, Regulations, and LEDs Like...

  20. Roel Wieringa Machine Intelligence

    E-Print Network [OSTI]

    Wieringa, Roel

    Roel Wieringa Machine Intelligence and Explication Rapport nr.IR-129 VRIJE UNIVERSITEITAMSTERDAM Facultei~ Wiskunde en Informatica, De Boelelaan 1081, 1081 HV Amsterdam #12;Machine Intelligence. Machines and explicitness 1.1 Systems, states, and processes 1.2 Machines, Turing machines, computers 1

  1. Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments

    E-Print Network [OSTI]

    Luck, Michael

    Applying Artificial Intelligence to Virtual Reality: Intelligent Virtual Environments Ruth Aylett intelligence and artificial life on the other has largely been carried out by two different groups of people combining artificial intelligence and artificial life techniques with those of virtual environments

  2. Intelligent Interfaces Artificial Intelligence Meets Human Computer Interaction

    E-Print Network [OSTI]

    Meliou, Alexandra

    Intelligent Us er Interfaces Artificial Intelligence Meets Human Computer Interaction r r f ala ris of Intelligent User Interface design is often loosely described as the intersection of the fields of Artificial is that they elude to specific artificial intelligence techniques and as Waern writes ``What, exactly, counts

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

    SciTech Connect (OSTI)

    1996-01-16

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

  4. 1. Multi-Agent Systems, Intelligent Robotics, Mechatronics, and General Control Areas. 2. Power Electronics, Renewable Energy, and Smart Grid.

    E-Print Network [OSTI]

    Wu, Yih-Min

    , and General Control Areas. 2. Power Electronics, Renewable Energy, and Smart Grid. 3. Computer Science

  5. 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

  6. ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig,

    E-Print Network [OSTI]

    Knill, Oliver

    ENTRY ARTIFICIAL INTELLIGENCE [ENTRY ARTIFICIAL INTELLIGENCE] Authors: Oliver Knill: March 2000 Literature: Peter Norvig, Paradigns of Artificial Intelligence Programming Daniel Juravsky and James Martin interface to a neural net simulator. artificial intelligence [artificial intelligence] (AI) is a field

  7. Artificial Intelligence Progress Report

    E-Print Network [OSTI]

    Minsky, Marvin

    1972-01-01

    Research at the Laboratory in vision, language, and other problems of intelligence. This report is an attempt to combine a technical progress report with an exposition of our point of view about certain problems in the ...

  8. The Evolutionary Emergence Artificial Intelligence

    E-Print Network [OSTI]

    Fernandez, Thomas

    The Evolutionary Emergence route to Artificial Intelligence Alastair Channon Degree: MSc with a brief discussion. Keywords: Artificial Intelligence, Emergence, Genetic Algorithms, Artificial Life: Inman Harvey Submitted: 2 September 1996 (Minor revisions October 1996) Abstract The artificial

  9. diploma thesis Adaptive Building Intelligence

    E-Print Network [OSTI]

    Rutishauser, Ueli

    diploma thesis Adaptive Building Intelligence A multi-Agent approach Ueli Rutishauser Alain Sch intelligent. A building is perceived as be- ing intelligent if it is able to learn from experience. We is connected to the sensors and effectors via a dedicated fieldbus network (LonWorks). Based on this data

  10. INTELLIGENT CONTROL Panos J. Antsaklis

    E-Print Network [OSTI]

    Antsaklis, Panos

    learning help intelligent controllers to adapt and learn. Advances in sensors, actuators, computationINTELLIGENT CONTROL by Panos J. Antsaklis Department of Electrical Engineering University of Notre for the Encyclopedia of Electrical and Electronics Engineering John Wiley & Sons, Inc. 1997 Intelligent control

  11. Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

    Universal Artificial Intelligence Marcus Hutter Canberra, ACT, 0200, Australia http://www.hutter1.net/ #12;Marcus Hutter - 2 - Universal Artificial Intelligence Abstract The dream of creating artificial devices that reach or outperform human intelligence is many centuries old. In this talk I present

  12. Foundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

    Foundations of Artificial Intelligence Introduction to the Course Module G64FAI #12;General in Artificial Intelligence (AI) · Provide an understanding of the theory of a range of those techniques · Introduce the students to a number of Artificial Intelligence applications · Show how these systems can

  13. Web Intelligence to Make Strategic

    E-Print Network [OSTI]

    Ahrendt, Wolfgang

    Using Web Intelligence to Make Strategic (Business) Decisions Staffan Truvé, PhD Co-founder & CTO truve@recordedfuture.com #12;#12;#12;#12;Recorded Future · Web Intelligence · From data collection;#7 #12;#7 #12;#1 #12;#12;Sensors + predictive models #12;Web Intelligence Metrics UNSTRUCTURED TEXT

  14. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Institute for Artificial Intelligence [SIAI], 2001, para.robot architecture. Artificial general intelligence, 2008:machines. Artificial general intelligence, 2008: Proceedings

  15. OVERVIEW ______ Sensors for Intelligent

    E-Print Network [OSTI]

    Wadley, Haydn

    OVERVIEW ______ Sensors for Intelligent Processing of Materials Haydn N.G. Wadley INTRODUCTION A sensor is a device that detects and measures some physical/chemical quantity and outputs and outputs an electrical signal which can be used to characterize the vibration. Numer- ous types of sensors

  16. Utility Theory Social Intelligence

    E-Print Network [OSTI]

    Polani, Daniel

    Utility Theory Social Intelligence Daniel Polani Utility Theory ­ p.1/15 Utilities: Motivation Consider: game scenario For Instance: 2-or-more players Necessary: development of concept for utilities decisions sequential decisions (time) games Utility The Prototypical Scenario Consider: agent that can take

  17. Instrumentation, Control, and Intelligent Systems

    SciTech Connect (OSTI)

    Not Available

    2005-09-01

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

  18. Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical InformaticsInformatics

    E-Print Network [OSTI]

    Reed, Nancy E.

    ICS 313 1 Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical Informatics Systems Outline and Objectives Describe basic concepts in artificial intelligence Understand is Artificial Intelligence (AI)? Goals of AI systems fall into four categories: Thinking humanly Thinking

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

    E-Print Network [OSTI]

    Qu, Rong

    Introduction to Artificial Intelligence Objectives · Discuss what is meant by Artificial important AI tests and terms #12;Introduction to Artificial Intelligence Sections · What is Artificial to Artificial Intelligence Question 1 Can a Machine Ever Be Intelligent ? (survey) #12;Introduction

  20. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Applications Gideon P. Stein Amnon Shashua Artificial Intelligence Laboratory Institute of Computer Science MIT of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory

  1. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL Sciences Massachusetts Institute of Technology Cambridge, MA 02139 y Artificial Intelligence Laboratory Institute of Technology, 1995. This report describes research done partly at the Artificial Intelligence

  2. The 2008 Artificial Intelligence Competition Valliappa Lakshmanan

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

    The 2008 Artificial Intelligence Competition Valliappa Lakshmanan National Severe Storms Laboratory Pennsylvania State University Abstract The Artificial Intelligence Committee of the AMS conducted. The ranking was carried out using the True Skill Statistic. Introduction The Artificial Intelligence Comittee

  3. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computa­ tional Learning, and the Artificial Intelligence Laboratory of the Massachusetts Institute for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Cognitive Sciences and the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology

  5. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL research done at the Center for Biological & Computational Learning and the Artificial Intelligence

  6. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. This research was sponsored

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and Computational Learning in the Department of Brain and Cognitive Sciences and at the Artificial Intelligence

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts

  9. Discoveryourself.Startwiththeworld. ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Davis, Jesse

    1 Discoveryourself.Startwiththeworld. New option B ig D ata A nalytics #12;32 ARTIFICIAL, through natural language as well as through vision, sensors and movement. A robot that can represent its that we tend to consider typical of intelligent living beings. WHY STUDY ARTIFICIAL INTELLIGENCE

  10. Artificial Intelligence 47 (1991) 31-56 31 Logic and artificial intelligence

    E-Print Network [OSTI]

    Pratt, Vaughan

    1991-01-01

    Artificial Intelligence 47 (1991) 31-56 31 Elsevier Logic and artificial intelligence Nils J Abstract Nilsson, N.J., Logic and artificial intelligence, Artificial Intelligence 47 (1990) 31-56. The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages

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

    SciTech Connect (OSTI)

    Gonder, J.

    2011-11-01

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

  12. General Shape Grammar Interpreter for Intelligent Designs Generations Artificial Intelligence Research Institute

    E-Print Network [OSTI]

    Rodríguez, Inmaculada

    General Shape Grammar Interpreter for Intelligent Designs Generations T. Trescak Artificial@maia.ub.es M. Esteva Artificial Intelligence Research Institute Spanish Council for Scientific Research visualization and artificial intelligent technologies have motivated the evolution of traditional computer aided

  13. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J. (Idaho Falls, ID)

    2009-11-17

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

  14. New Progress in Artificial Intelligence

    E-Print Network [OSTI]

    Winston, Patrick H.

    1974-09-01

    This report concentrates on progress during the last two years at the M.I.T. Artificial Intelligence Laboratory. Topics covered include the representation of knowledge, understanding English, learning and debugging, ...

  15. Symbolic diagnosis for intelligent control 

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24

    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...

  16. Smart Grid Impact on Intelligent Buildings 

    E-Print Network [OSTI]

    Zimmer, R. J.

    2013-01-01

    ?and?applications?that?go?well? beyond??smart??meters?for?homes?and?business Source:?NIST?Framework?and?Roadmap?for? Smart?Grid?Interoperability?Standards? Release?1.0?(Draft),?September?2009. Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings 7 Building Management System...?profile? ? The?energy?consumption?will?be? monitored?and?system?faults?identified? ? Usage?data?will?be?available?every?5?? 30? minutes ? Many?different?software?packages?are? available?to?be?linked?to?the?client?s?BMS? ? DR2?is?mostly?automated? ? There...

  17. 10.2417/1200402.0003 Ambient intelligence for smart

    E-Print Network [OSTI]

    Rutishauser, Ueli

    10.2417/1200402.0003 Ambient intelligence for smart buildings Ueli Rutishauser, Jonas Trindler, autonomous entity that pursues its own goals (energy consump- tion, security). To fulfill this goal-term knowledge. Motivated by biological systems, we use a two- stage memory process: short-term (STM) and long

  18. Artificial general intelligence: an organism and level based position

    E-Print Network [OSTI]

    Smith, Leslie S.

    Artificial general intelligence: an organism and level based position statement Leslie S. SMITH 1. Keywords. artificial general intelligence, brain model, paramecium, level interaction Introduction There are many views of what should be described as artificial general intelligence. Gen- eral intelligence

  19. Teaching Artificial Intelligence in Introductory Cognitive Science Courses

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Teaching Artificial Intelligence in Introductory Cognitive Science Courses Sara Owsley Sood Pomona of Artificial Intelligence and Cognitive Science is the question "What is intelligence?" The answer of topics and resources intended for use in teaching artificial intelligence in the confines

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

    E-Print Network [OSTI]

    Claridge, D. E.; Gong, X.

    2008-01-01

    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...

  1. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA JumpDuimenMakingBiofuels Jump to:

  2. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on OpeneiAlbanian CentreHoldings Jump to: navigation, search

  3. massachusetts institute of technology --artificial intelligence laboratory Intelligent Market-Making in

    E-Print Network [OSTI]

    Poggio, Tomaso

    @ MIT massachusetts institute of technology -- artificial intelligence laboratory Intelligent , m a 0 2 1 3 9 u s a -- w w w. a i . m i t . e d u #12;#12;Intelligent Market-Making in Artificial on Graduate Students #12;Intelligent Market-Making in Artificial Financial Markets by Sanmay Das Submitted

  4. Artificial Intelligence: CS background D. Keil 7/11 David Keil, CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    Artificial Intelligence: CS background D. Keil 7/11 David Keil, CSCI 400 Artificial Intelligence Arrangements of data 1D. Keil Special Topics: Artificial Intelligence 1/12 2. Arrangements Topics: Artificial Intelligence 1/12 ( g ) y p * the set of all strings over L * a language (set

  5. 4. Uncertainty D. Keil Artificial Intelligence 1/12 CSCI 400 Artificial Intelligence

    E-Print Network [OSTI]

    Keil, David M.

    4. Uncertainty D. Keil Artificial Intelligence 1/12 CSCI 400 Artificial Intelligence David Keil in partially observable and non- deterministic environments? D. Keil Special Topics: Artificial Intelligence 1/12 2 #12;4. Uncertainty D. Keil Artificial Intelligence 1/12 Objectives 4a. Describe ways to operate

  6. Modeling emotion dynamics in intelligent agents 

    E-Print Network [OSTI]

    Seif El-Nasr, Magy

    1998-01-01

    Emotions were shown to have a leading role in the human decision-making process, and thus they play an important role in human intelligence. Intelligent agents' research produced many models of emotional agents. However, most of these models focused...

  7. Greening the MLS for Business Intelligence

    Broader source: Energy.gov [DOE]

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

  8. Artificial Intelligence 119 (2000) 295299 Book Review

    E-Print Network [OSTI]

    Würtz, Rolf P.

    2000-01-01

    Artificial Intelligence 119 (2000) 295­299 Book Review Gossiping Nets 6 Rolf P. Würtz 1 Ruhr;296 R.P. Würtz / Artificial Intelligence 119 (2000) 295­299 Anderson and Rosenfeld present a book

  9. Achieving Artificial Intelligence through Building Robots

    E-Print Network [OSTI]

    Brooks, Rodney A.

    1986-05-01

    We argue that generally accepted methodologies of Artificial Intelligence research are limited in the proportion of human level intelligence they can be expected to emulate. We argue that the currently accepted ...

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts Institute

  11. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL vision tasks, including the computation of image correspondence, object verification, image synthesis at the Artificial Intelligence Laboratory and within the Center for Biological and Computational Learning

  12. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL parameters could possibly have application to other problems in vision. We investigate one such application of Brain and Cognitive Sciences and at the Artificial Intelligence Laboratory at the Massachusetts

  13. Development of an Intelligent Systems Approach for

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    ;VIRTUAL INTELLIGENCE Conventional Computing Soft Computing · Bivalent Logic · Numerical Analysis · Probability · Differential Equations · Functional Analysis · Mathematical Programming · Approximation Theory

  14. 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

  15. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL in the Department of Brain and Cognitive Sciences and in the Artificial Intelligence Laboratory at the Massachusetts, which is likely to play a significant role in eventually making intelligent machines. Not surprisingly

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1293 April, 1991 Intelligence Without Reason Rodney A. BrooksPrepared for Computers and Thought, IJCAI-91 Abstract Computers and Thought are the two categories that together de ne Arti cial Intelligence as a discipline

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1439 August to fundamentally change the way arti cial intelligence, cognitive science, linguistics, and philosophy think about the organization of intelligence. We expect to be able to better reconcile the theories that will be developed

  18. ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS PETRI NET FRAMEWORK

    E-Print Network [OSTI]

    Antsaklis, Panos

    ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS IN A PETRI NET FRAMEWORK K.M Passino and PJ. Antsaluis defined and then used to model a class of Artificial Intelligence planning problems. A planning stegy. As an iJlustration of the results three Artificial Intelligence planning problems are modelled and soved

  19. History and Philosophy of Artificial Intelligence

    E-Print Network [OSTI]

    Alechina, Natasha

    G52HPA: History and Philosophy of Artificial Intelligence Lecture 1: Module Overview Tony Pridmore syllabus © Brian Logan 2008 G52HPA Lecture 1: Module Overview 2 What is Artificial Intelligence? © Brian Logan 2008 G52HPA Lecture 1: Module Overview 3 What is Artificial Intelligence? · "The study of how

  20. Research Article Artificial Intelligence in Video Games

    E-Print Network [OSTI]

    Ernst, Damien

    Research Article Artificial Intelligence in Video Games: Towards a Unified Framework Firas Safadi artificial intelligence (AI) is a broad notion in video games, it is important to start by defining the scope human intelligence. On the other hand, AI is usually independently designed for each game. This makes

  1. Unifying Artificial Intelligence Robotics: An Undergraduate Textbook

    E-Print Network [OSTI]

    Crabbe, Frederick

    Unifying Artificial Intelligence Robotics: An Undergraduate Textbook Introduction to AI Robotics the artificial intelligence (AI) perspective. Robin Murphy's Introduction to AI Robotics (IAIR) is a new and artificial, intelligence perspective. Such a text would need to take into account that few undergraduates can

  2. ARTIFICIAL INTELLIGENCE Learning to see and act

    E-Print Network [OSTI]

    Meeden, Lisa A.

    ARTIFICIAL INTELLIGENCE Learning to see and act An artificial-intelligence system uses machine to process large amounts of data have led to progress in many areas of science, not least artificial intelligence (AI). With advances in machine learning has come the development of machines that can learn

  3. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1537 of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory and within Science Foundation under contract ASC­9217041. Support for the A.I. Laboratory's artificial intelligence

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1611 June and Cognitive Sciences, the Center for Biological and Computational Learning and the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the artificial intelligence research

  5. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Scassellati, Brian

    February, 1999 A Binocular, Foveated Active Vision System Brian Scassellati MIT Artificial Intelligence Lab project at the MIT Artificial Intelligence Laboratory. The ac- tive vision system features a 3 degreeMASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1628

  6. Indian Energy Blog Archive | Department of Energy

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

    March 13, 2014 CWG community members review structural plans as part of their wind turbine training in Kwigillingok, AK. Photo from Intelligent Energy Systems, NREL 29205 Winning...

  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

    Trading Agent Competition (Power TAC). AstonTAC buys electri- cal energy from the wholesale market and sells it in the retail market. The main focus of the paper is on the broker's bidding strategy in a day-ahead power wholesale market, and keeps energy supply and demand balanced. Moreover, we explain

  8. I-Min: An Intelligent Fermat Point Based Energy Efficient Geographic Packet Forwarding Technique for Wireless Sensor and Ad Hoc Networks

    E-Print Network [OSTI]

    Ghosh, Kaushik; Das, and Pradip K; 10.5121/jgraphoc.2010.2204

    2010-01-01

    Energy consumption and delay incurred in packet delivery are the two important metrics for measuring the performance of geographic routing protocols for Wireless Adhoc and Sensor Networks (WASN). A protocol capable of ensuring both lesser energy consumption and experiencing lesser delay in packet delivery is thus suitable for networks which are delay sensitive and energy hungry at the same time. Thus a smart packet forwarding technique addressing both the issues is thus the one looked for by any geographic routing protocol. In the present paper we have proposed a Fermat point based forwarding technique which reduces the delay experienced during packet delivery as well as the energy consumed for transmission and reception of data packets.

  9. 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.

    2014-01-01

    Side Energy Management via Multiagent Coordination in Consumer Cooperatives Andreas Veit ANDREAS are to increase the penetration of renewable sources, and to manage supply and demand so as to reduce demand peaks demand supply balance by adjusting only the supply side leads to the use of flexible (usually diesel

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

    E-Print Network [OSTI]

    Kansas, University of

    for the dynamic configuration of sensors and the motion of the rovers that carry them. The PRISM intelligent intelligent sensor and roveIntelligent Matchmaking for Polar Ice Sheet Data Collection and Delivery Costas Tsatsoulis, Sudha

  11. Neuromorphic Vision Chips: intelligent sensors for industrial applications

    E-Print Network [OSTI]

    Neuromorphic Vision Chips: intelligent sensors for industrial applications Giacomo Indiveri, J, Neuromorphic Systems, Intelligent Sensors, Vehicle Navigation I. Introduction THE term "neuromorphic systems them in hardware. The developed chips can thus be used as "intelligent sensors"; sensors that, from

  12. Ben Goertzel, Pascal Hitzler, Marcus Hutter (Editors) Artificial General Intelligence

    E-Print Network [OSTI]

    Hutter, Marcus

    #12;Ben Goertzel, Pascal Hitzler, Marcus Hutter (Editors) Artificial General Intelligence Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA ________________________________________________________________________ #12;Artificial General Intelligence Volume Editors Ben Goertzel Novamente & Biomind LLC 1405 Bernerd

  13. Artificial Intelligence through the eyes of Organised Sound

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

    Artificial Intelligence through the eyes of Organised Sound Eduardo Miranda Keywords: Artificial Intelligence, symbolic and artificial life approaches, algorithmic composition Abstract Artificial intelligence is a rich and still-developing field with many musical applications

  14. Eric Baum, Marcus Hutter, Emanuel Kitzelmann (Editors) Artificial General Intelligence

    E-Print Network [OSTI]

    Hutter, Marcus

    #12; Eric Baum, Marcus Hutter, Emanuel Kitzelmann (Editors) Artificial General Intelligence Proceedings of the Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5 of the first mathematical theory of Optimal Universal Artificial Intelligence. Ray intended to deliver

  15. Artificial General Intelligence and the Future of the Human Race

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

    Institute for Artificial Intelligence [SIAI], 2001, para.Institute for Artificial Intelligence [SIAI], 2001, para.I ssue 2 • 1 B S J Artificial Intelligence is all around us.

  16. Intelligent Control and Asset Management: A Retrospective Intelligent Control and Asset Management: A Retrospective

    E-Print Network [OSTI]

    Taylor, James H.

    Intelligent Control and Asset Management: A Retrospective Intelligent Control and Asset Management system called ICAM, the Intelligent Control and Asset Management system, with specific focus on petroleum. INTRODUCTION Comprehensive asset management and control of a modern process facility can involve many tasks

  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. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II)GeothermalFuel MagnetizationTransportationVideosEnergyVisit us

  19. Management and Control of Foreign Intelligence

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

    1992-01-15

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

  20. Intelligence support to arms control. Study project

    SciTech Connect (OSTI)

    Grisham, A.E.

    1990-04-09

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

  1. WSN-based Intelligent Visual Performance Management in Tropical Buildings

    E-Print Network [OSTI]

    Edwin, Chan; Szu Cheng, Chien; Boon-Hee, Soong; King Jet, Tseng

    2014-01-01

    Lin, and Y. C. Tseng, “A WSN-based intelligent light controlWSN-based Intelligent Visual Performance Management inprototypical implementation of WSN-based daylight-responsive

  2. 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

    2010-04-30

    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.

  3. 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

  4. Personalized Information Management for Web Intelligence

    E-Print Network [OSTI]

    Tan, Ah-Hwee

    intelligence collection as primary sources. We how- ever believe that the importance of published information. CI professionals have referred to published information collection as secondary sources and humanPersonalized Information Management for Web Intelligence Ah-Hwee Tan Kent Ridge Digital Labs 21

  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. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1570 August fl Massachusetts Institute of Technology, 1996 This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for this research was provided

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY A.I. Memo No. 1536 Institute of Technology, 1995 This report describes research done at the Artificial Intelligence Laboratory the National Science Foundation under contract ASC­9217041. Support for the A.I. Laboratory's artificial

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL by a grant from the NSF (ASC--9217041). Support for the laboratory's artificial intelligence research. of Brain and Cognitive Sciences, the Center for Biological and Computational Learning, and the Artificial

  9. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Koch, Christof

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL of Technology within the Artificial Intelligence Laboratory and the Center for Biological Information Processing is the sluggish time course of the electrical signals in the very early stages of vision compared with our quick

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL in the Department of Brain and Cognitive Sciences and in the Artificial Intelligence Laboratory at the Massachusetts of antique cars. Computer vision is well on its way to solve restricted versions of the problem of object

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual Property AgreementIntelligence

  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. Emotional Computation in Artificial Intelligence Education Sara Owsley Sood

    E-Print Network [OSTI]

    Bustamante, Fabián E.

    Emotional Computation in Artificial Intelligence Education Sara Owsley Sood Department of Computer of work towards creating artificial intelligence, some researchers are now attempting to create machines that are emotionally intelligent. The standard definition of artificial intelligence is the ability for a machine

  14. Test and Evaluation Challenges of Embodied Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    MacLennan, Bruce

    Test and Evaluation Challenges of Embodied Artificial Intelligence and Robotics Technical Report UT science, artificial intelligence (AI), and robotics promise a new generation of intelligent agents is an unedited draft of "Challenges of Embodied Artificial Intelligence and Robotics," an article invited

  15. One Decade of Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

    One Decade of Universal Artificial Intelligence Marcus Hutter RSCS @ ANU and SML @ NICTA Canberra artificial intelligence. This theory of Universal Artifi- cial Intelligence (UAI) has made significant that the grand goal of Artificial General Intelligence is not elusive. This article provides an informal overview

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    Expert Systems and Artificial Intelligence: Applications andExpert Systems and Artificial Intelligence: Applications andThe Man-Machine and Artificial Intelligence”, in Franchi and

  17. Intelligent Sensor Validation And Sensor Fusion For Reliability And Safety Enhancement In Vehicle Control

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1995-01-01

    A Methodology for Intelligent Sensor Validation, Fusion andA Framework for Intelligent Sensor Validation, SensorA Methodology for Intelligent Sensor Validation and Fusion

  18. Intelligent Sensor Validation And Fusion For Vehicle Guidance Using Probabilistic And Fuzzy Methods

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1997-01-01

    1995. A Framework for Intelligent Sensor Validation, SensorAgogino, A. 1995. Intelligent Sensor Validation and FusionOF CALIFORNIA, BERKELEY Intelligent Sensor Validation and

  19. LIDAR, Camera and Inertial Sensors Based Navigation Techniques for Advanced Intelligent Transportation System Applications

    E-Print Network [OSTI]

    Huang, Lili

    2010-01-01

    planar range sensor designed for intelligent robots andSensors Based Navigation Techniques for Advanced IntelligentSensors Based Navigation Techniques for Advanced Intelligent

  20. A KNOWLEDGE BASED SYSTEM FOR PROVIDING INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE

    E-Print Network [OSTI]

    Rosenberg, Steven

    2011-01-01

    INTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE StevenINTELLIGENT ACCESS TO A PETROLEUM USER DATABASE Steven

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

    The Handbook of Artificial Intelligence. Volumes 1-3. LosThe Handbook of Artificial Intelligence. Volume IV. MenloIntroduction to Artificial Intelligence. Reading, MA:

  2. Projective simulation for artificial intelligence

    E-Print Network [OSTI]

    Hans J. Briegel; Gemma De las Cuevas

    2013-02-08

    We propose a model of a learning agent whose interaction with the environment is governed by a simulation-based projection, which allows the agent to project itself into future situations before it takes real action. Projective simulation is based on a random walk through a network of clips, which are elementary patches of episodic memory. The network of clips changes dynamically, both due to new perceptual input and due to certain compositional principles of the simulation process. During simulation, the clips are screened for specific features which trigger factual action of the agent. The scheme is different from other, computational, notions of simulation, and it provides a new element in an embodied cognitive science approach to intelligent action and learning. Our model provides a natural route for generalization to quantum-mechanical operation and connects the fields of reinforcement learning and quantum computation.

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

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

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

  4. ACEEE Intelligent Efficiency Conference | 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 Data Center Home Page on Delicious Rank EERE: Alternative FuelsofProgram:Y-12 Beta-3 Racetracks25 AMOSystem forAAPGABENGOAACCESSINGACEEE

  5. Content Analysis for Proactive Protective Intelligence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.

    2010-12-15

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

  6. 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

  7. "Intelligent systems for healthcare and robotics"

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

    "Intelligent systems for healthcare and robotics" Laura Barnes Assistant Professor lbarnes, and robotics. We are interested in problems such as computationally modeling group behavior and interactions and clinicians. Robotics & Multiagent Systems Research in this area is specifically focused on multiagent

  8. Quantization of Games: Towards Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Katarzyna Miakisz; Edward W. Piotrowski; Jan Sladkowski

    2004-12-30

    On grounds of the discussed material, we reason about possible future development of quantum game theory and its impact on information processing and the emerging information society. The idea of quantum artificial intelligence is explained.

  9. Performance Modeling of Intelligent Car Parking Systems

    E-Print Network [OSTI]

    Telek, Miklós

    introduction at the beginning of the century [2], the smart city concept enjoys an enormous attention from. In an intelligent car parking system the driver selects its destination on a smart- phone application when entering

  10. Progressing for Intelligent to Smart Buildings 

    E-Print Network [OSTI]

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

    2013-01-01

    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...

  11. Building Grounded Abstractions for Artificial Intelligence Programming

    E-Print Network [OSTI]

    Hearn, Robert A.

    2004-06-16

    Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular ...

  12. Review of Elliptic curves, by Anthony W. Knapp

    E-Print Network [OSTI]

    Langlands, Robert

    the number theory is primary and the representation theory completely suppressed. As a complex to mathematici* *ans with no great knowledge of the advanced theory of modular forms. The present book serves

  13. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room News PublicationsAudits &Bradbury Science Museum - ScienceBrendan M. White About

  14. Developing Geospatial Intelligence Stewardship for Multinational Operations

    E-Print Network [OSTI]

    Thomas, Jeff

    2009-11-18

    Picture: you can’t symbolize/generalize everything to scale • Situational Awareness & Commander’s Circulation • Intelligence, Surveillance & Reconnaissance (ISR) – Ends, Ways, Means versus Full Motion Video Addition; Predator “Porn” – Collection Strategy... Picture: you can’t symbolize/generalize everything to scale • Situational Awareness & Commander’s Circulation • Intelligence, Surveillance & Reconnaissance (ISR) – Ends, Ways, Means versus Full Motion Video Addition; Predator “Porn” – Collection Strategy...

  15. 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 Soviet Union; · the nuclear weapons programs of India and Pakistan; · transfer of military and dual in chemical, biological, and nuclear weapons. All component agencies of the Intelligence Community understood

  16. The infusion of intelligence that transforms the way industries conceptualize, design and operate the manufacturing enterprise.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    The infusion of intelligence that transforms the way industries conceptualize, design and operate available to companies of all sizes #12;IndustrialGas Manufacturing Steel Energy Bio/Pharma Electronics/Institute for Digital Research and Education and Tom Edgar UT Austin SMLC (501c6) https

  17. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    energy efficiency. Intelligent Buildings, 3:43-46, 2011. InM. Bhandari. Comparison of Building Energy Use Data betweenand China, Energy and Buildings, 2013. Under reviewed. 5. T.

  18. Engineering Applications of Artificial Intelligence 16 (2003) 237250 Hierarchical decision making for proactive quality control: system

    E-Print Network [OSTI]

    Huang, Yinlun

    2003-01-01

    Engineering Applications of Artificial Intelligence 16 (2003) 237­250 Hierarchical decision making by resorting to artificial intelligence and engineering fundamentals. The approach is developed for solving control; Intelligent decision support; Artificial intelligence; Fuzzy logic; Automotive coating 1

  19. 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.

    2008-01-01

    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...

  20. Preprint version 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA Bilateral Teleoperation of Multiple UAVs with

    E-Print Network [OSTI]

    Preprint version 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San, light-weight, low-energy, and cheap sensors. A camera, for example, well fits these requirements

  1. IJCNN 2015 Call For Papers Special Session on Intelligence for cyber-physical, embedded and pervasive systems

    E-Print Network [OSTI]

    Alippi, Cesare

    · Intelligent sensors and robo1cs · Intelligent systems for embedded applica1ons · Intelligent sensors · Intelligence for sensor networks · Neuromorphic systems · InternetIJCNN 2015 Call For Papers ­ Special Session on Intelligence for cyber

  2. Argonne's Major Nuclear Energy Milestones | Argonne National...

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

    Sciences Intelligence Analysis Nuclear Engineering Nuclear Milestones Argonne's Major Nuclear Energy Milestones Argonne's reactor tree Argonne's reactor tree December 2, 1942:...

  3. On modeling and controlling intelligent systems

    SciTech Connect (OSTI)

    Dress, W.B.

    1993-11-01

    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.

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

    E-Print Network [OSTI]

    Pullokkaran, Laijo John

    2013-01-01

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

  5. Artificial Intelligence, Language and the Study of Knowledge

    E-Print Network [OSTI]

    Goldstein, Ira

    1975-07-01

    This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence ...

  6. Artificial Intelligence Design for Real-time Strategy Games

    E-Print Network [OSTI]

    Ernst, Damien

    Artificial Intelligence Design for Real-time Strategy Games Firas Safadi University of Li been challenging intelligence, human and artificial (AI) alike, as one of the top genre in terms

  7. HandSkates : an apparatus for physically intelligent exercise

    E-Print Network [OSTI]

    Smith, Benjamin D. (Benjamin David), 1983-

    2005-01-01

    Physical Intelligence refers to the ability of the human organism to smartly and precisely coordinate its internal components and interactions in its environment to solve physically complex tasks. While Physical Intelligence ...

  8. Intelligence-policy relations and the problem of politicization

    E-Print Network [OSTI]

    Rovner, Joshua Randall

    2008-01-01

    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 ...

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

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01

    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 ...

  10. Generation of museum web pages: The intelligent labelling explorer. 

    E-Print Network [OSTI]

    Hitzeman, Janet; Mellish, Chris; Oberlander, Jon

    1997-01-01

    The first phase of the Intelligent Labelling Explorer project has built the ILEX-1.1 system, which uses artificial intelligence technology to generate descriptions of objects displayed in a museum gallery. Each description ...

  11. Intelligence by Design: Principles of Modularity and Coordination for Engineerin

    E-Print Network [OSTI]

    Bryson, Joanna J.

    2001-09-01

    All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right ...

  12. Experimental Realization of Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Li Zhaokai; Liu Xiaomei; Xu Nanyang; Du jiangfeng

    2014-10-04

    Machines are possible to have some artificial intelligence like human beings owing to particular algorithms or software. Such machines could learn knowledge from what people taught them and do works according to the knowledge. In practical learning cases, the data is often extremely complicated and large, thus classical learning machines often need huge computational resources. Quantum machine learning algorithm, on the other hand, could be exponentially faster than classical machines using quantum parallelism. Here, we demonstrate a quantum machine learning algorithm on a four-qubit NMR test bench to solve an optical character recognition problem, also known as the handwriting recognition. The quantum machine learns standard character fonts and then recognize handwritten characters from a set with two candidates. To our best knowledge, this is the first artificial intelligence realized on a quantum processor. Due to the widespreading importance of artificial intelligence and its tremendous consuming of computational resources, quantum speedup would be extremely attractive against the challenges from the Big Data.

  13. 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

  14. AI 1 Introductory Notes. Page 1 Artificial Intelligence I

    E-Print Network [OSTI]

    Huntbach, Matthew

    AI 1 Introductory Notes. Page 1 Artificial Intelligence I Matthew Huntbach, Dept of Computer.J.M.Bench-Capon Knowledge Representation: An Approach to Artificial Intelligence Academic Press (1990). A little simplistic, but short and not over-technical. Covers roughly the same material as will be in the Artificial Intelligence

  15. MIT Computer Science & Artificial Intelligence Laboratory The Choices We Make

    E-Print Network [OSTI]

    Durand, Frédo

    MIT Computer Science & Artificial Intelligence Laboratory The Choices We Make Frédo Durand MIT CSAIL #12;MIT Computer Science & Artificial Intelligence Laboratory Introduction · My background ­ Math Computer Science & Artificial Intelligence Laboratory Introduction · I don't build tools, I am an academic

  16. SPE-169507-MS Artificial Intelligence (AI) Assisted History Matching

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE-169507-MS Artificial Intelligence (AI) Assisted History Matching Alireza Shahkarami, Shahab D a successful history matching project. The pattern recognition capabilities of Artificial Intelligence and Data the history matching process. SRM is an intelligent prototype of the full-field reservoir simulation model

  17. ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error

    E-Print Network [OSTI]

    Richardson, David

    ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error Detection and Recovery for Robot Motion, and uncertainty in the geometric * This report describes research done at the Artificial Intelligence Laboratory of the Massach- usetts Institute of Technology. Support for the Laboratory's Artificial Intelligence research

  18. Artificial Intelligence 120 (2000) 2942 Optimal auctions revisited 6

    E-Print Network [OSTI]

    Monderer, Dov

    2000-01-01

    Artificial Intelligence 120 (2000) 29­42 Optimal auctions revisited 6 Dov Monderer , Moshe. Tennenholtz / Artificial Intelligence 120 (2000) 29­42 game theory [5]. In particular, the design of protocols aspects of multi-agent activity in Artificial Intelligence has grown rapidly in the recent years. Work

  19. Artificial Intelligence and Intrusion Detection: Current and Future Jeremy Frank

    E-Print Network [OSTI]

    Yoo, S. J. Ben

    Artificial Intelligence and Intrusion Detection: Current and Future Directions Jeremy Frank frank. Artificial Intelligence techniques can reduce the human effort required to build these systems and can data. We survey uses of artificial intelligence methods in ID, and present an example using feature

  20. Readings for Artificial Intelligence CS63 Fall 2007

    E-Print Network [OSTI]

    Meeden, Lisa A.

    Readings for Artificial Intelligence CS63 Fall 2007 1. A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon Norvig (2003). Chapter 3 from Artificial Intelligence: A modern approach, Second edition, Prentice Hall

  1. Artificial Intelligence in the Factory of the Future

    E-Print Network [OSTI]

    Fox, Mark S.

    Artificial Intelligence in the Factory of the Future Ma rk S. Fox Intelligent Systems Laboratory goal to explore the application of artificial intelligence to mansgerial and professional problems,tk:s Institute of Carnegie-Mellon University. IMS is a long term project concerned with applying artificial

  2. Artificial Intelligence for Engineering Design, Analysis and Manufacturing

    E-Print Network [OSTI]

    Yang, Maria

    Artificial Intelligence for Engineering Design, Analysis and Manufacturing http://journals.cambridge.org/AIE Additional services for Artificial Intelligence for Engineering Design, Analysis and Manufacturing: EmailNoël Demaret, Maria C. Yang and Pierre Leclercq Artificial Intelligence for Engineering Design, Analysis

  3. ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage

    E-Print Network [OSTI]

    Foley, Simon

    ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage Since 2001, when 4C into the international league in terms of artificial intelligence and constraints programming. The 4C centre (Cork this quarter. Four papers were accepted by the American Association for Artificial Intelligence Conference

  4. Articial Intelligence for Engineering, Design, Analysis and Manufacturing

    E-Print Network [OSTI]

    Fox, Mark S.

    ://journals.cambridge.org/AIE Additional services for Articial Intelligence for Engineering, Design, Analysis and Manufacturing: EmailArticial Intelligence for Engineering, Design, Analysis and Manufacturing http Intelligence for Engineering, Design, Analysis and Manufacturing / Volume 11 / Issue 04 / September 1997, pp

  5. 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 transformers and circuit breakers off-line, in order to assess whether the equipment is operating normally

  6. Partitioning networks into communities by message passing MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems,

    E-Print Network [OSTI]

    Nardini, Christine

    for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dong of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, 320 Yue

  7. Simon Holland 1 Artificial Intelligence in music education: a critical review Artificial Intelligence in music education: a critical review

    E-Print Network [OSTI]

    Holland, Simon

    © Simon Holland 1 Artificial Intelligence in music education: a critical review Artificial Intelligence in Music Education: a critical review. In Miranda, E. (ed.) Readings in Music and Artificial This paper reviews the principal approaches to using Artificial Intelligence in Music Education. Music

  8. National Energy Efficiency and Conservation Policies and Programs in Developed Countries and Middle East 

    E-Print Network [OSTI]

    Tyrer, C. F.

    2010-01-01

    The world's economies should endeavour to ultimately reduce their energy consumption, rather than simply adjusting or optimizing their energy utilisation. The implementation of intelligent strategies, designed to manage ...

  9. INTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev

    E-Print Network [OSTI]

    , discourse and semantic. They are based on a conceptual model underlying weather forecasts as well situations represented in the form of texts in NL, weather maps, data tables or combined information objectsINTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev I n s t i t u t e of Mathematics Acad

  10. Bright and dark sides of computational intelligence

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    Bright and dark sides of computational intelligence Bogdan M. Wilamowski Auburn University positive and negative values and the resulted neuron excitation net is calculated as a sum of products of incoming signals multiplied by weights: xw=net ii n =1i (1) k net out netk-+1 1 =f(net)=out exp Fig. 2

  11. Intelligent Traffic Light Control Marco Wiering

    E-Print Network [OSTI]

    Utrecht, Universiteit

    an adaptive optimization al- gorithm based on reinforcement learning. We have implemented a traffic light different traffic light controllers. Experimental results indicate that our adaptive traffic lightIntelligent Traffic Light Control Marco Wiering Jelle van Veenen Jilles Vreeken Arne Koopman

  12. FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors Capable of Autonomous, Adaptive from the rest of the power grid and reconnect and synchronize without loss of functionality FOCUS AREA Power Grid Initiative (FPGI) will deliver next-generation concepts and tools for grid operation

  13. TECHNISCHE UNIVERSIT AT DORTMUND REIHE COMPUTATIONAL INTELLIGENCE

    E-Print Network [OSTI]

    Witt, Carsten

    Intelligence Methods Runtime Analysis of Binary PSO Dirk Sudholt, Carsten Witt No. CI-241/08 Technical Report with financial support of the Deutsche Forschungsgemeinschaft. #12;#12;Runtime Analysis of Binary PSO Dirk investigate the runtime of the Binary Particle Swarm Optimiza- tion (PSO) algorithm introduced by Kennedy

  14. Copyright 2005 POSC Intelligent Oilfield Operations

    E-Print Network [OSTI]

    Brock, David

    Copyright © 2005 POSC WITSMLTM and Intelligent Oilfield Operations David Archer MIT Data Center M-Alliance POSC Source: Downes & Mui, "Unleashing the Killer App" #12;Oil fields of the future: real-time oil, London Members + SIG Members: > 80 Oil BP, ChevronTexaco, ExxonMobil, Hydro, ONGC, Pioneer, Shell

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

    E-Print Network [OSTI]

    Goshorn, Deborah Ellen

    2010-01-01

    plemented includes an intelligent sensor network, requiredto create an intelligent sensor, there is the ability ofwithin a single intelligent sensor. Choosing the underlying

  16. Energy Internet

    Office of Energy Efficiency and Renewable Energy (EERE)

    Energy Internet is commercializing a software platform for decentralized scheduling of energy-producing or consuming assets on the electricity grid. This scalable system will revolutionize the control of distributed solar generation, electric vehicle charging, intelligent appliances and other smart grid technologies.

  17. Ambient intelligence and wearable computing: Sensors on the body, in the home,

    E-Print Network [OSTI]

    Cook, Diane J.

    Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond Diane J in wearable com- puting and ambient intelligence. Keywords: Wearable sensors, wearable computing, body area], and intelligent [18]. Ambient intelligence is often associated with intelligent sensors and software em- bedded

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

    SciTech Connect (OSTI)

    2011-05-31

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

  19. Energy-Efficient Cooling Control Systems for Data Centers | Department...

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

    Recovery and Reinvestment Act), recently demonstrated the effectiveness of intelligent energy management in eight State of California data centers. The system uses a network of...

  20. Engineering Applications of Artificial Intelligence 19 (2006) 787795 A statistical complement to deterministic algorithms for the retrieval

    E-Print Network [OSTI]

    Vucetic, Slobodan

    2006-01-01

    to estimate the attenuation of solar energy as it passes through a column of atmosphere, a quantity commonlyEngineering Applications of Artificial Intelligence 19 (2006) 787­795 A statistical complement: Geophysical retrievals; Aerosols; Regression 1. Introduction NASA's Earth Observing System (EOS) satellites

  1. Generalized Intelligent States for Nonlinear Oscillators

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13

    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.

  2. Intelligent systems for the molecular biologist

    SciTech Connect (OSTI)

    Brutlag, D.L.

    1995-12-31

    This tutorial was one of eight tutorials selected to be presented at the Third International Conference on Intelligent Systems for Molecular Biology which was held in the United Kingdom from July 16 to 19, 1995. In this paper, one objective is to identify properties of DNA sequences that determine their function, by computer-aided statistical analysis and to accurately predict its function, given a new sequence. A related problem is to predict protein structure and function from the sequence.

  3. 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.

    2007-04-01

    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 approaches—GridWiseTM 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.

  4. 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.

    1989-06-15

    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.

  5. Learning Competitive Intelligence from a Bunch of Screwballs

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-12-01

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

  6. Proposal to ARPA for Research on Artificial Intelligence at M.I.T., 1971-1972

    E-Print Network [OSTI]

    Minsky, Marvin

    1971-10-01

    The activities of the Artificial Intelligence laboratory can be viewed under three main aspects; (1) Artificial Intelligence- understanding the principles of making intelligent machines along the lines discusses in ...

  7. PRISM: Planning a Center for Perceptual Robotics, Intelligent Sensors and Machines

    E-Print Network [OSTI]

    Zhu, Zhigang

    PRISM: Planning a Center for Perceptual Robotics, Intelligent Sensors and Machines Jizhong (John of the Center for Perceptual Robotics, Intelligent Sensors and Machines (PRISM) in order to enhance) Intelligent Sensors (multimodal sensors for target recognition, subject tracking, and event understanding

  8. Architectural Robotics: Unpacking the In most projections of intelligent environments, the

    E-Print Network [OSTI]

    Architectural Robotics: Unpacking the Humanoid Abstract In most projections of intelligent, a posteriori, augmenting the underlying architectural morphology with suites of sensors, processors, and associated intelligence. Additionally, numerous researchers introduce intelligence into the environment via

  9. International Journal on Artificial Intelligence Tools c World Scientific Publishing Company

    E-Print Network [OSTI]

    Gustafsson, Torgny

    International Journal on Artificial Intelligence Tools c World Scientific Publishing Company: Intelligent tutoring systems; constraint propagation; units 1. Introduction In teaching problem solving, Intelligent Tutoring Systems (ITS) often employ a rigid and explicit framework to guide the student along

  10. Title: Affective Artificial Intelligence for loving robots By Professor Hooman Samani, NTPU, Taiwan

    E-Print Network [OSTI]

    Chen, Chaur-Chin

    Title: Affective Artificial Intelligence for loving robots By Professor Hooman Samani, NTPU, Taiwan advanced artificial intelligence system of Lovotics includes an Artificial Endocrine System (based (based on emotions) modules. Psychological unit of the Lovotics artificial intelligence calculates

  11. The Artificial Intelligence (AI) program at the Univer-sity of Michigan comprises a multidisciplinary group

    E-Print Network [OSTI]

    Eustice, Ryan

    The Artificial Intelligence (AI) program at the Univer- sity of Michigan comprises in areas such as healthcare, electronic commerce, and finance. Artificial IntelligenceResearch Bob of intelligent systems. Current projects include research in rational deci- sion making, distributed systems

  12. Neural Network Based Intelligent Sootblowing System

    SciTech Connect (OSTI)

    Mark Rhode

    2005-04-01

    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.

  13. 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.

    7. 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 might (a) NAO or (b) Siri operate as a member of a team or network? D. Keil Artificial Intelligence 7

  14. Artificial Intelligence: Math and CS background D. Keil 7/13 1D. Keil CSCI 300 Artificial Intelligence 7/13

    E-Print Network [OSTI]

    Keil, David M.

    Artificial Intelligence: Math and CS background D. Keil 7/13 1D. Keil CSCI 300 Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence Mathematical is a function? Examples? · What is inference? #12;Artificial Intelligence: Math and CS background D. Keil 7/13 D

  15. Fuzzy-Based Intelligent Sensors: Modeling, Design, Application

    E-Print Network [OSTI]

    Benoit, Eric; Foulloy, Laurent; 10.1109/ETFA.2001.997712

    2009-01-01

    This paper presents a modeling of intelligent sensors based on a representation of the sensor by services it uses or it proposes, and by its USer Operating Modes (USOMs). This modeling is used for the definition of the reactive layer of distributed agent based intelligent sensors. Our area of interest is the agent-level layer in which the concept of IIC (Intelligent Instrument Cluster) is defined. An application that uses fuzzy-based intelligent sensors is presented in order to illustrate the concepts.

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

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

    1993-07-23

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

  17. Integrated intelligent systems in advanced reactor control rooms

    SciTech Connect (OSTI)

    Beckmeyer, R.R.

    1989-01-01

    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.

  18. Lecturer: Amir Globerson Computer Science and Artificial Intelligence Laboratory, MIT

    E-Print Network [OSTI]

    Barash, Danny

    Lecturer: Amir Globerson Computer Science and Artificial Intelligence Laboratory, MIT Title: Making in fields such as machine vision, natural language processing and computational biology. With the growing

  19. University of Waterloo Adaptation, Selection, and Intelligent Design

    E-Print Network [OSTI]

    Godfrey, Michael W.

    % dark in 1848, 95% dark in 1898 [Manchester] · Hair colour, tattoos, height ­ Morphological change · DB server, web server, file server; intelligent controllers 3. Pruning, if needed · Three pairs

  20. Artificial Life, unlike artifical intelligence, had humble beginnings. In the case of the latter, when the word itself was born, the first breathtaking results were

    E-Print Network [OSTI]

    Karsai, Istvan

    Preface Artificial Life, unlike artifical intelligence, had humble beginnings. In the case intelligence comes up again. Artificial intelligence was conceptually based on "machine functionalism intelligence, and artificial intelligence was a computerized approach to the mind that was designed to capture

  1. Identity and the pursuit of school success understandings of intelligence and effort in three high schools

    E-Print Network [OSTI]

    Nunn, Lisa Michele

    2009-01-01

    performance in school and performance on intelligence tests.Intelligence and School Performance." Journal of EducationalDifferences in School Performance." American Sociological

  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.

    1989-06-15

    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. Effective Intelligence Operations during Counterinsurgency Campaigns - Intelligence Community in Counterinsurgency: Historical Lessons and Best Practices 

    E-Print Network [OSTI]

    Albers, Andrew C.; Binkley, Samuel G.; Chaudhry, Mariam F.; Craswell, Kimberly; Freeman, Jordan S.; Lytle, Carrie E.; Myers, Tristan L.; Naser, Rami; Sloan, Peter T.

    2009-01-01

    Community in Counterinsurgency: Historical Lessons and Best Practices Andrew C. Albers Samuel G. Binkley Mariam F. Chaudhry Kimberly Craswell Jordan S. Freeman Carrie E... the literature on both the role of intelligence and how counterinsurgency operations are fought and won. We use this literature to create a framework outlining how For helpful comments on this project...

  4. Strategic Management for Real-Time Business Intelligence

    E-Print Network [OSTI]

    Palpanas, Themis

    Strategic Management for Real-Time Business Intelligence Konstantinos Zoumpatianos, Themis Palpanas directions. 1 Introduction Strategic Management (SM) is concerned with the continuous evaluation and control-Verlag Berlin Heidelberg 2013 #12;Strategic Management for Real-Time Business Intelligence 119 occur and keep

  5. Intelligent Predictive Control Methods for Synchronous Power System

    E-Print Network [OSTI]

    Rizvi, Syed Z.

    @kfupm.edu.sa Abstract--In this paper, an intelligent Model Predictive Con- troller (MPC) for a Synchronous Power Machine of a Single synchronous Machine on Infinite Bus (SMIB) has been one of the most important problems for powerIntelligent Predictive Control Methods for Synchronous Power System Muhammad S. Yousuf Electrical

  6. UncorrectedProof Computational Intelligence in Racing Games

    E-Print Network [OSTI]

    Togelius, Julian

    the evolution of different types of car controllers, modelling of players' driving styles, evolution of racingUncorrectedProof Computational Intelligence in Racing Games Julian Togelius, Simon M. Lucas- tionary algorithms and other forms of computational intelligence to various aspects of racing games. We

  7. Interim Progress Report: Intelligent Control Architectures for Unmanned Air Vehicles

    E-Print Network [OSTI]

    Sastry, S. Shankar

    Interim Progress Report: Intelligent Control Architectures for Unmanned Air Vehicles S. S. Sastry is concerned with the design and evaluation of Intelligent Control Architectures for Unmanned Air Vehicles sections de­ scribe our progress on the three research thrusts identified in our proposal. Section 5

  8. A Bayesian Decision Model for Intelligent Routing in Sensor Networks

    E-Print Network [OSTI]

    Marques, Antonio Garcia

    A Bayesian Decision Model for Intelligent Routing in Sensor Networks Roc´io Arroyo-Valles, Antonio are considered in a Bayesian model in order to establish intelligent decision rules that make the network economize in crucial resources. I. INTRODUCTION Recent advances in sensor technology and wireless com

  9. INTELLIGENT SENSOR VALIDATION AND SENSOR FUSION FOR RELIABILITY AND SAFETY

    E-Print Network [OSTI]

    Agogino, Alice M.

    1 INTELLIGENT SENSOR VALIDATION AND SENSOR FUSION FOR RELIABILITY AND SAFETY ENHANCEMENT IN VEHICLE #12;2 Intelligent Sensor Validation and Sensor Fusion for Reliability and Safety Enhancement acknowledge the help of PATH engineers Pete Devlin, Seibum Choi, and Leon Chen. II. Keywords Sensor Validation

  10. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

    Building Intelligent Sensor Networks With Multiagent Graphical Models Yang Xiang University of these agents as well as the sensors that they manage forms an intelligent sensor network. The task to process: what is the small set of devices that is highly likely the culprit of abnormality? A sensor network

  11. Bio-inspired Design of Intelligent Materials Minoru Taya*

    E-Print Network [OSTI]

    Taya, Minoru

    Bio-inspired Design of Intelligent Materials Minoru Taya* , Professor and Director Center for Intelligent Materials and Systems Department of Mechanical Engineering University of Washington, Box 352600 Seattle, WA 98195-2600 ABSTRACT Several examples of sensors and actuators inherent in biological species

  12. 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

  13. Intelligent Assistants for Filling Critical Gaps in GIS

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Intelligent Assistants for Filling Critical Gaps in GIS A Research Program April 1992 David Lanter, Intelligent Assistants for Filling Critical Gaps In GIS, was sponsored by Southern California Edison Company: · An analysis of critical gaps in current geographic information systems (GIS) that impede their use for spatial

  14. Communication Systems: A Unified Model of Socially Intelligent Systems

    E-Print Network [OSTI]

    Rovatsos, Michael

    Communication Systems: A Unified Model of Socially Intelligent Systems Matthias Nickles, Michael communication systems (CS) as a unified model for socially intelligent systems. This model derived from sociological systems theory, combines the empirical analysis of communication in a social system with logical

  15. The Role of Artificial Intelligence in Software Engineering

    E-Print Network [OSTI]

    Harman, Mark

    The Role of Artificial Intelligence in Software Engineering Mark Harman CREST Centre, University in the application of Artificial Intelligence (AI) techniques to Software Engineering (SE) problems. The work is typified by recent advances in Search Based Software Engineering, but also by long established work

  16. US, Russian intelligence agencies offer proliferation assessments

    SciTech Connect (OSTI)

    Wolfsthal, J.B.

    1993-03-01

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

  17. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100NationalquestionnairesDrought-inducedPhotoRoboRAVE bringsIntelligent

  18. Intelligent hand-portable proliferation sensing system

    SciTech Connect (OSTI)

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

    1997-08-01

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

  19. Intelligent Component Monitoring for Nuclear Power Plants

    SciTech Connect (OSTI)

    Lefteri Tsoukalas

    2010-07-30

    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.

  20. Accurate profile extraction and mapping by intelligent processing of ultrasonic range

    E-Print Network [OSTI]

    Barshan, Billur

    intelligent processing of raw ultrasonic data. Ultrasonic sensors, when coupled with intelligent processingAccurate profile extraction and mapping by intelligent processing of ultrasonic range data B. Barshan A novel technique is described that employs intelligent processing of multiple ultrasonic range

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

    E-Print Network [OSTI]

    Keil, David M.

    Summary 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 as part of a team 0f. Present results in the classroom 2Special Topics: Artificial Intelligence 9. Summary

  2. Publications of the Finnish Artificial Intelligence Society -23 New Developments in Artificial

    E-Print Network [OSTI]

    Hyvönen, Eero

    Publications of the Finnish Artificial Intelligence Society - 23 New Developments in Artificial Intelligence and the Semantic Web Proceedings of the 12th Finnish Artificial Intelligence Conference STeP 2006 Kauppinen, Jukka Kortela, Mikko Laukkanen, Tapani Raiko, and Kim Viljanen Finnish Artificial Intelligence

  3. Parasol and GreenSwitch: Managing Datacenters Powered by Renewable Energy

    E-Print Network [OSTI]

    Parasol and GreenSwitch: Managing Datacenters Powered by Renewable Energy ´I~nigo Goiri, William the renewable energy supply. For highest benefits, green datacenter operators must intelligently manage with Parasol, GreenSwitch, and MapReduce workloads demonstrate that intelligent workload and energy source

  4. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

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

    2005-08-01

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

  5. Sensor Driven Intelligent Control System For Plasma Processing

    SciTech Connect (OSTI)

    Bell, G.; Campbell, V.B.

    1998-02-23

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

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

    E-Print Network [OSTI]

    Schweizer, Paul

    2010-01-01

    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 Turing’s work, and extends this ...

  7. Design Issues in Parallel Architecture for Artificial Intelligence

    E-Print Network [OSTI]

    Hewitt, Carl

    1983-11-01

    Development of highly intelligent computers requires a conceptual foundation that will overcome the limitations of the von Neumann architecture. Architectures for such a foundation should meet the following design ...

  8. Artificial Intelligence and The Many Faces of Reason 

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01

    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, the crucial place...

  9. Wavelet and artificial intelligence application to automated fault analysis 

    E-Print Network [OSTI]

    Wang, Qilong

    2001-01-01

    not require a precise model in the problem domain. Fuzzy logic represents knowledge with ambiguity. It can handle the uncertainties well. The hybrid intelligent system based on the fuzzy logic and neural network utilize the virtue of the individual techniques...

  10. 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.

    2006-01-01

    This paper presents the conceptual description of a knowledge base for teaching and learning the programme of MSc Intelligent Buildings, which is being developed at the University of Reading and being developed into a global Master degree program...

  11. The misguided reaction: reconsidering intelligence flow before 11 September 2001 

    E-Print Network [OSTI]

    Prothro, John Samuel

    2004-11-15

    This research examines the story of 11 September 2001 from an organizational communication perspective. Discourse after the event pointed to "communication difficulties" as a scapegoat for the intelligence community's ...

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

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01

    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...

  13. Perceptual data mining : bootstrapping visual intelligence from tracking behavior

    E-Print Network [OSTI]

    Stauffer, Christopher P. (Christopher Paul), 1971-

    2002-01-01

    One common characteristic of all intelligent life is continuous perceptual input. A decade ago, simply recording and storing a a few minutes of full frame-rate NTSC video required special hardware. Today, an inexpensive ...

  14. DYNAMICS OF INTELLIGENT POLY(N-ISOPROPYLACRYLAMIDE) MICROGELS 

    E-Print Network [OSTI]

    Pullela, Srinivasa

    2010-01-16

    This dissertation investigates the self assembly and automatic oscillation of intelligent poly (N-isopropylacrylamide) [PNIPAM] microgel particles. The equilibrium phase diagram as a function of temperature and concentration ...

  15. Search for Extra-terrestrial Intelligence Donna M. Jurdy

    E-Print Network [OSTI]

    Jurdy, Donna M.

    NASA/JPL SETI - Search for Extra-terrestrial Intelligence Donna M. Jurdy Northwestern University used in the 1950's to study pathways to the origin of life. #12;Pole-to-Equator Temperature

  16. Automatic recognition codes for Intelligent Vehicle-Highway Systems 

    E-Print Network [OSTI]

    Leonardi, Pierre Charles Louis

    1994-01-01

    This thesis describes an automatic recognition code system designed for non-stop toll collection (part of Intelligent Vehicle-Highway Systems). The system uses Bose, Chaudhuri, and Hocquenghem (BCH) codes to encode the information. Each code...

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

    E-Print Network [OSTI]

    Rhodes, Dana Lanay

    2009-05-15

    several contributions: (a) a summary of theoretical links between EI and job performance, (b) meta-analytic incremental validity estimation for two different conceptualizations of emotional intelligence – labeled ability EI and mixed EI – over and above...

  18. Injection Molding at the MIT Artificial Intelligence Lab

    E-Print Network [OSTI]

    Binnard, Michael

    1995-02-23

    This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.

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

    E-Print Network [OSTI]

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

    2004-01-01

    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...

  20. "Artificial Intelligence Systmes Techniques and Applications in Speech Processing"

    E-Print Network [OSTI]

    Campbell, D.R.; Fyfe, C.; Girolami, M.

    Campbell,D.R. Fyfe,C. Girolami,M. Intelligence Systems Technology and Applications, Vol.III Signal, Image and Speech processing, 1-48, Ed: C T Leondes pp V.III 1-48 CRC Press

  1. Electrical Design: A Problem for Artificial Intelligence Research

    E-Print Network [OSTI]

    Sussman, Gerald Jay

    1977-06-01

    This report outlines the problem of intelligent failure recovery in a problem-solver for electrical design. We want our problem solver to learn as much as it can from its mistakes. Thus we cast the engineering design ...

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

    DOE Patents [OSTI]

    Goldsmith, Steven Y.

    2004-06-22

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

  3. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16

    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...

  4. Encapsulating the meta-level knowledge in distributed artificial intelligence 

    E-Print Network [OSTI]

    Underbrink, Alvin Joseph

    1988-01-01

    ENCAPSULATING THE META-LEVEL KNOWLEDGE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Submitted to the Graduate College of Texas AgcM University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE December 1988 Major Subject: Computer Science EN CAP SULATING THE META-LEVEL KNOWLED GE IN DISTRIBUTED ARTIFICIAL INTELLIGENCE A Thesis by ALVIN JOSEPH UNDERBRINK, JR. Approved as to style and content by: &K &, ~ eni'- Donald...

  5. Use of artificial intelligence for process modeling and control 

    E-Print Network [OSTI]

    You, Yong

    1991-01-01

    USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Submitted to the Office of Graduate Stuclies of Texas A&M University in partial fulffllment of the requirement for the degree of IvIASTER OF SCIENCE May... 1991 Major Subject: Chemical Engineering USE OF ARTIFICIAL INTELLIGENCE FOR PROCESS MODELING AND CONTROL A Thesis by YONG YOU Approved as to style and content by: Michael Nikolaou (Chair of Committee) Ralph E. White (Member) Alexande...

  6. Britain's exploitation of Occupied Germany for scientific and technical intelligence on the Soviet Union

    E-Print Network [OSTI]

    Maddrell, John Paul

    1999-01-26

    (British Element) Dipl. Ing. (or Ing.): Diplom-Ingenieur (which is the German way of indicating the possession of a bachelor's degree in engineering) D.At.En.lD.At.En.Int.: Division (previously Department) of Atomic Energy of the Ministry of Supply (its... intelligence unit was known as 'D.At.En.Int. ' , but was often known simply as 'D.At.En.' and will be referred to by that name in this thesis) DDR: Deutsche Demokratische Republik (German Democratic Republic) DPs: Displaced Persons ELINT: electronic...

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

  8. or the artificial intelligence community, 2006 is a special year, for it was fifty years ago when, at Dartmouth College, the term "artificial intelligence" was first intro-

    E-Print Network [OSTI]

    Napp, Nils

    F or the artificial intelligence community, 2006 is a special year, for it was fifty years ago when, at Dartmouth College, the term "artificial intelligence" was first intro- duced as a topic for a summer on Artificial Intelligence, cele- brates the fifty years of growth and diversity of our field. It also includes

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

    Office of Environmental Management (EM)

    such as oil, gas, coal, nuclear, and renewable energy (for example, solar, wind, and biofuel). The Energy Security Division (ESD) analyzes issues globally, including major...

  10. Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless

    E-Print Network [OSTI]

    Wei, Shuangqing

    Using Misbehavior to Analyze Strategic versus Aggregate Energy Minimization in Wireless Sensor own wireless network against energy attacks by an intelligent adversary. This work was supported wireless communication accounts for a significant portion of node energy consumption, network lifetime

  11. IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 16, NO. 3, THIRD QUARTER 2014 1709 A Survey of Energy Efficiency in Buildings and

    E-Print Network [OSTI]

    Jain, Raj

    consumption, making buildings intelligent and energy efficient will have huge impacts on the total CO2--Intelligent buildings, energy efficiency, micro- grids, building automation, sustainability, smart homes, smart phones efficiency in these buildings and microgrids usually refers to reducing the amount of energy required

  12. Appears in Mason, C. (Ed.) The First International Workshop on AI and the Environment, International Joint Conference on Artificial Intelligence, Montreal, Canada, 1995.

    E-Print Network [OSTI]

    Lieberman, Henry

    , International Joint Conference on Artificial Intelligence, Montreal, Canada, 1995. Copyright 1995 Cindy Mason Conference on Artificial Intelligence, the Canadian Society for Computational Studies of Intelligence, the American Meterological Society, the American Association of Artificial Intelligence, Henry Lieberman

  13. Intelligent, self-contained robotic hand

    DOE Patents [OSTI]

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

    2007-01-30

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

  14. Intelligent composites and structures -- a review

    SciTech Connect (OSTI)

    Jang, B.Z. [Auburn Univ., AL (United States)

    1993-12-31

    Functionally responsive composites, as precursors to intelligent or smart material systems, are reviewed. These include composites containing a complex network of sensors that can monitor several parameters simultaneously over the entire lifetime of the structure. For instance, fiber optic sensors can be used for (1) monitoring the manufacturing process, (2) augmenting nondestructive evaluation technique, (3) enabling structure health monitoring and damage assessment systems, and (4) supporting control system. Significant progress has been made towards controlling structural radiated noise by active/adaptive means applied directly to the structure. By incorporating electrorheological (ER) fluids in composites, one can produce a new class of materials of which the mechanical properties can be changed in situ. By adjusting the rheological properties of the ER fluid through an electric field, both stiffness and damping capabilities can be altered. Active vibration control can also be achieved by incorporating a shape memory alloy (SMA, e.g. Nitinol) in a fiber reinforced composite as the embedded distributed actuators. The SMA embedded laminates have the capabilities to change their material properties, modify the stress and strain state of the structure, and possibly alter its configuration possibly in a controlled manner. The advantages and limitations of ER fluids, piezoelectric ceramics, and SMAs as the actuators for smart structures will be discussed. Also to be discussed are the theoretical basis, some fabrication techniques, and potential applications of piezoelectric composites and optical composites.

  15. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

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

    2001-11-14

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

  16. LOGIC AND ARTIFICIAL INTELLIGENCE Grad Seminar, Spring '95, 66-6943, 66-4963, 48-6244

    E-Print Network [OSTI]

    Bringsjord, Selmer

    LOGIC AND ARTIFICIAL INTELLIGENCE Grad Seminar, Spring '95, 66-6943, 66 one required text, Logical Foundations of Artificial Intelligence, by Genesereth and Nilsson (= G

  17. Marianne is Watching: Knowledge, Secrecy, Intelligence and the Origins of the French Surveillance State (1870-1914)

    E-Print Network [OSTI]

    Bauer, Deborah Susan

    2013-01-01

    Intelligence and National Security. 9, no. 3 (1994): 472-Intelligence and National Security. 9, no. 3 (1994): 474.ability to undermine national security, as was believed to

  18. 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.

    2002-01-01

    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, ...

  19. Proposal to ARPA for Research on Artificial Intelligence at MIT, 1970-1971

    E-Print Network [OSTI]

    Minsky, Marvin

    1970-12-01

    The MIT Artificial Intelligence Project has a variety of goals all bound together by search for principles of intelligent behavior. Among our immediate goals are to develop systems with practical applications for: ...

  20. Is Conscientiousness negatively correlated with intelligence test and inspection time performance 

    E-Print Network [OSTI]

    Todd, Kirsty

    2006-01-01

    The purpose of this study was to ascertain if high C developed as a compensation mechanism to make up for a lack of intelligence: our hypothesis was that C would negatively correlate with intelligence tests’ scores and ...

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

    E-Print Network [OSTI]

    Korkmaz, Ummugulsum

    2014-07-25

    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 ...

  2. Golden Fish: An Intelligent Stream Cipher Fuse Memory Modules QiongHai Dai1

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    Golden Fish: An Intelligent Stream Cipher Fuse Memory Modules Lan Luo12 QiongHai Dai1 ZhiGuang Qin2 such design style at SHA3. Keywords: An intelligent golden Fish, LFSR & Block Cipher Modes as Stream Cipher

  3. Intelligence by design : principles of modularity and coordination for engineering complex adaptive agents

    E-Print Network [OSTI]

    Bryson, Joanna Joy, 1965-

    2001-01-01

    All intelligence relies on search - for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right ...

  4. Impact of managers emotional intelligence on marketing creativity in Jordan Commercial banks" Innovative Marketing, International

    E-Print Network [OSTI]

    Impact of managers emotional intelligence on marketing creativity in Jordan Commercial banks" Innovative Marketing, International Research Journal, vol 6, Issue3, 2010 Abstract: Purpose of paper: This study aims to investigate the Impact of Managers Emotional Intelligence on marketing creativity

  5. Automated Analysis of Protein NMR Assignments Using Methods from Artificial Intelligence

    E-Print Network [OSTI]

    Powers, Robert

    Automated Analysis of Protein NMR Assignments Using Methods from Artificial Intelligence Diane E correlation spectrum. The software Abbreviations used: AI, arti®cial intelligence; Csp A, major cold shock

  6. A Decision-Making Model for the Asian Intelligent Building Index 

    E-Print Network [OSTI]

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

    2006-01-01

    The paper presents a multi-criteria decision-making model to evaluate the sustainable performances of intelligent buildings based on the Asian IB index, which is recommended by the Asian Institute of Intelligent Buildings. To undertake this task...

  7. 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.sagepub.com Large-scale vibration energy harvesting Lei Zuo and Xiudong Tang Abstract Nowadays, harvesting energy obtain 10 mW to 100 mW power, which has only limited applications in self-powered wireless sensors

  8. Cultural intelligence support for military operations

    SciTech Connect (OSTI)

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

    2010-04-08

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

  9. Intelligent Sensor Validation and Fusion with distributed "MEMS Dust" Sensors Shijun Qiu*

    E-Print Network [OSTI]

    Agogino, Alice M.

    Intelligent Sensor Validation and Fusion with distributed "MEMS Dust" Sensors (Abstract) Shijun Qiu;References 1. Alag, S, K. Goebel, and A.M. Agogino, "A Framework for Intelligent Sensor Validation, Sensor, 1020 2. Alag, S, A.M. Agogino, and M.. Morjaria, " A Methodology for Intelligent Sensor Measurement

  10. Integration of Intelligent Systems and Sensor Fusion within the CONTROLAB AGV

    E-Print Network [OSTI]

    Carneiro, Gustavo

    Integration of Intelligent Systems and Sensor Fusion within the CONTROLAB AGV E. P. L. Audea T the integration of intelligent systems and the use of sensor fusion within a Multi-Level Fusion Architecture (MUFA. Keywords: Autonomous Guided Vehicles, Sensor Fusion, Distributed Intelligence, Obstacle Avoidance

  11. Mobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    other to provide intelligent services to inhabitants [1, 3]. The mobile agents have sensors andMobile Agent Gain Scheduler Control in Inter-Continental Intelligent Space Rangsarit - Intelligent Space (iSpace) is a space (room, corridor, or street), which has distributed sensory and mobile

  12. 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

  13. From GIS to LBS, An Intelligent Mobile GIS 1 From GIS to LBS

    E-Print Network [OSTI]

    Caduff, David

    From GIS to LBS, An Intelligent Mobile GIS 1 From GIS to LBS An Intelligent Mobile GIS Christopher investigate these three as- pects, illustrate how they close the gap between a GIS and a LBS, and finally propose an intelligent mobile GIS that conforms to the definition of LBS. INTRODUCTION Mobile GIS

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

    SciTech Connect (OSTI)

    Harber, K.S.

    1991-09-01

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

  15. TUTORIAL: International Conference on Artificial Intelligence in Education 2009 Categorisation and Educational Benefits of

    E-Print Network [OSTI]

    Bull, Susan

    TUTORIAL: International Conference on Artificial Intelligence in Education 2009 Categorisation that are part of a full artificial intelligence in education system, and independent open learner models (where Framework. International Journal of Artificial Intelligence in Education 17(1), 89-120. #12;

  16. 5. Supervised learning D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    5. Supervised learning D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 5. Supervised learning and natural language 1. Supervised learning 2-language processing 1D. Keil Artificial Intelligence 5. Supervised learning 7/13 Inquiry · How do you learn ­facts

  17. A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum

    E-Print Network [OSTI]

    Holder, Lawrence B.

    A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum Lawrence B;2 ABSTRACT The goal of this project is to increase students' interest in Artificial Intelligence, as well environment. In this paper we describe the multimedia approach to teaching Artificial Intelligence classes

  18. Mathematics and AI NEU Math Circle, April 1, 2007, Oliver Knill Artificial intelligence

    E-Print Network [OSTI]

    Knill, Oliver

    Mathematics and AI NEU Math Circle, April 1, 2007, Oliver Knill Artificial intelligence Can are some problems types in artificial intelligence. Most of them are purely mathematical: · problem solving global warming, epidemics, supplies Moral: The field of artificial intelligence is extremely wide

  19. Building Computational Agents using Neuronal Networks, Schema Theory and Artificial Intelligence1

    E-Print Network [OSTI]

    Weitzenfeld, Alfredo

    Building Computational Agents using Neuronal Networks, Schema Theory and Artificial Intelligence1 that the technology developed in our research fields (e.g., Computational Neurosci- ence, Artificial Intelligence Artificial Intelligence, and in Behavior-Based Robotics [1][2][3], in particular, when the aim is to build

  20. Sediment Dynamics Simulation via Cellular Automata Artificial Intelligence -SYNOPSIS 1.0 Dr. Juan M. Restrepo

    E-Print Network [OSTI]

    Fatkullin, Ibrahim

    Sediment Dynamics Simulation via Cellular Automata Artificial Intelligence - SYNOPSIS 1.0 Dr. Juan dynamics and artificial intelligence. Sediment Dynamics Sediment dynamics is the physics of sedimentary's work, and proved to be quite a task indeed. Artificial Intelligence Because this research project

  1. Extending the Scope of the Student Model Dept. of Artificial Intelligence

    E-Print Network [OSTI]

    Bull, Susan

    Extending the Scope of the Student Model Susan Bull Dept. of Artificial Intelligence University University Lancaster LA1 4YR Helen Pain Dept. of Artificial Intelligence University of Edinburgh 80 South material. As an example of this approach we describe the student model of an intelligent computer assisted

  2. Affective Issues in the Search for Artificial Intelligence By Jason Aughenbaugh

    E-Print Network [OSTI]

    Affective Issues in the Search for Artificial Intelligence By Jason Aughenbaugh Jma;1 Recent studies in robotics, artificial intelligence, and the emerging field of affective computing have, but such endeavors into artificial intelligence, or AI, have until recently only yielded computers with specialized

  3. Artificial Intelligence 117 (2000) 277296 On agent-based software engineering $

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2000-01-01

    Artificial Intelligence 117 (2000) 277­296 On agent-based software engineering $ Nicholas R both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential lecture that was delivered at the Sixteenth International Joint Conference on Artificial Intelligence

  4. 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. In that structure processing modules become specialized. We argue that artificial intelligence programs should

  5. Introduction D, Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    Introduction D, Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence Introduction 1. What this course offers 2. Course plan 3. How the course delivers 1D. Keil CSCI 300 Artificial Intelligence 7/13 Invitation · Would you like to explore the limits

  6. Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels

    E-Print Network [OSTI]

    Crabbe, Frederick

    Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels Annapolis, Maryland 21402 Abstract From a Computer Science and Artificial Intelligence perspec- tive to undergraduates. The paper presents an alternative synthesis of the various sub-fields of Artificial Intelligence

  7. Artificial Intelligence 171 (2007) 365377 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2007-01-01

    Artificial Intelligence 171 (2007) 365­377 www.elsevier.com/locate/artint If multi-agent learning, and at least two books ([20] and [54]). In Artificial Intelligence (AI) the history of single-agent learning. / Artificial Intelligence 171 (2007) 365­377 something of a vengeance. If in 2003 one could describe the AI

  8. HighLevel Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology

    E-Print Network [OSTI]

    Indiana University

    High­Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence of Experimental and Theoretical Artificial Intelligence. #12; High­Level Perception, Representation, and Analogy: A Critique of Artificial Intelligence Methodology Abstract High­level perception---the process of making

  9. 4. Uncertainty D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    4. Uncertainty D. Keil Artificial Intelligence 7/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 4. Uncertainty and belief 1. Acting under uncertainty 2. Probability CSCI 300 Artificial Intelligence 4. Uncertainty 7/13 Inquiry · Is probabilistic reasoning part

  10. Artificial Intelligence 173 (2009) 240257 Contents lists available at ScienceDirect

    E-Print Network [OSTI]

    Nie, Qing

    2009-01-01

    Artificial Intelligence 173 (2009) 240­257 Contents lists available at ScienceDirect Artificial.V. All rights reserved. doi:10.1016/j.artint.2008.11.002 #12;Y. Zhou et al. / Artificial Intelligence 173 Intelligence www.elsevier.com/locate/artint A comparative runtime analysis of heuristic algorithms

  11. Artificial Intelligence 148 (2003) 1152 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    St Andrews, University of

    2003-01-01

    Artificial Intelligence 148 (2003) 11­52 www.elsevier.com/locate/artint Fuzzy rrDFCSP and planning in revised form 1 September 2002 Abstract Constraint satisfaction is a fundamental Artificial Intelligence-3702(03)00020-1 #12;12 I. Miguel, Q. Shen / Artificial Intelligence 148 (2003) 11­52 combinations. The following

  12. Artificial Intelligence 170 (2006) 12511253 www.elsevier.com/locate/artint

    E-Print Network [OSTI]

    Spector, Lee

    2006-01-01

    Artificial Intelligence 170 (2006) 1251­1253 www.elsevier.com/locate/artint Evolution of artificial the nominal 1956 establishment of the field of artificial intelligence by centuries or, under some definitions of creating artificial intelligence would have to be something like the process of creating a waterwheel

  13. Open Giant Intelligent Information Systems and Its Agent-Oriented Abstraction Mechanism

    E-Print Network [OSTI]

    Cao, Longbing

    Open Giant Intelligent Information Systems and Its Agent-Oriented Abstraction Mechanism Longbing intelligent information systems, an open giant intelligent information system is a special kind of complex information system, and then we discussed the challenges of agent-based computing for dealing with the above

  14. Annals of Mathematics and Artificial Intelligence 28 (2000) 1720 17 Perspectives

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    2000-01-01

    Annals of Mathematics and Artificial Intelligence 28 (2000) 17­20 17 Perspectives A prospective on mathematics and artificial intelligence: Problem solving = Modeling + Theorem proving Harvey J. Greenberg and artificial intelligence that I see as having been the most important over the past 10 years and that I think

  15. An Energy and Emissions Impact Evaluation of Intelligent Speed Adaptation

    E-Print Network [OSTI]

    Servin, Oscar; Boriboonsomsin, Kanok; Barth, Matthew

    2008-01-01

    CO: 85%; HC: 69%; NOx: 74% reduction) are possible with veryCO: 93%, HC: 90%, NOx: 86% reduction) and fuel savings (

  16. Intelligent energy management agent for a parallel hybrid vehicle 

    E-Print Network [OSTI]

    Won, Jong-Seob

    2004-09-30

    : : : : : : : : : : : : : : : : : : : : : : : : : 20 3.3 Architecture of the LVQ network : : : : : : : : : : : : : : : : : : : : : : 21 3.4 Validation of trained LVQ network on the freeway, LOS E drive cycle (Class 4) : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 24 3... speed. 18 Table 3.2 Facility-speci c drive cycles Facility Description 1 High-speed freeway 2 Freeway under LOS A-C 3 Freeway under LOS D 4 Freeway under LOS E 5 Freeway under LOS F 6 Freeway under LOS G 7 Freeway ramp 8 Arterial/collector under LOS A...

  17. Save (More) Energy Now with Intelligent Industrial Buildings...

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

    Waste heat from processing andor combined heat and power systems may be used to power, cool, heat, and dehumidify the facilities. Improvements in the design and operation...

  18. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainable Urban TransportFortistarFuelCellsEtcSilicon Co LtdGEOGHD Inc|

  19. A resonant electromagnetic vibration energy harvester for intelligent

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnicalInformation4563 LLNL(Technicalentanglements for linearAoffrom electron

  20. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of rare Kaonforsupernovae model (JournalHearings and Appeals

  1. Office of Intelligence and Counterintelligence | 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 Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterFinancialInvesting inServices » NEPANews »AboutOffice ofOffice

  2. Generalized Intelligent States for an Arbitrary Quantum System

    E-Print Network [OSTI]

    A. H. EL Kinani; M. Daoud

    2003-11-06

    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.

  3. Computers for artificial intelligence a technology assessment and forecast

    SciTech Connect (OSTI)

    Miller, R.K.

    1986-01-01

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

  4. 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

  5. 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

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

    SciTech Connect (OSTI)

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

    2010-05-24

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

  7. 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

  8. Intelligent Sensing for Innovative Bridges EMILE SHEHATA,* PENG.

    E-Print Network [OSTI]

    in Manitoba, Canada. The first, the Taylor Bridge, is the longest smart bridge built in North America and \\vas- - - - - - - - - - - - - - Intelligent Sensing for Innovative Bridges EMILE SHEHATA,* PENG ABSTRACT: This paper discusses two types of fiber optic sensors used for monitoring highway bridges

  9. Copyright 2000 FT Asia Intelligence Wire All rights reserved

    E-Print Network [OSTI]

    Copyright 2000 FT Asia Intelligence Wire All rights reserved Copyright 2000 The Hindu THE HINDU May 10, 2000 LENGTH: 1384 words HEADLINE: The Hindu-Editorial: Development and goal-setting - I BYLINE: NIRUPAM BAJPAI & JEFFREY D. SACHS BODY: WHILE PRESENTING the Union Budget for 2000-01, the Finance

  10. 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

  11. ROBOT-DISCOVERER: A ROLE MODEL FOR ANY INTELLIGENT AGENT

    E-Print Network [OSTI]

    Ras, Zbigniew W.

    to apply knowledge in many ways. As discovery is rarely a one-time event, this process continues through way to satisfy an expanded range of goals is to implement new com- ponents of the discovery processROBOT-DISCOVERER: A ROLE MODEL FOR ANY INTELLIGENT AGENT JAN M. _ZYTKOW Department of Computer

  12. Designing Intelligent Agents Tutorial 1: Java Agent Package

    E-Print Network [OSTI]

    Alechina, Natasha

    G54DIA: Designing Intelligent Agents Tutorial 1: Java Agent Package Natasha Alechina School agent package(s) · agent toolkits · uk.ac.nott.cs.g54dia Java agent packages ­library package ­demo package © Brian Logan 2013 G54DIA Tutorial 1: Java Agent Package 2 #12;Implementing your agent · many

  13. 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

  14. Spatial Information and Intelligence http://spatial.ist.psu.edu

    E-Print Network [OSTI]

    Squicciarini, Anna Cinzia

    -Computer Interaction. He conducts research in the areas of geographical information systems, geocollaboration, human approaches toward natural, multi-modal, multi-user dialogue-enabled interfaces to geographic information. OVERVIEW Current computing systems for spatial information and spatial intelligence restrict human

  15. 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

  16. ROBUST INTELLIGENT CONTROL OF SMALL-SCALE MECHATRONIC DEVICES

    E-Print Network [OSTI]

    Efe, Mehmet Önder

    ROBUST INTELLIGENT CONTROL OF SMALL-SCALE MECHATRONIC DEVICES Mehmet Önder Efe1 , Lemi Dahan Acay2 and Pradeep K. Khosla3 1 Atilim University, Department of Mechatronics Engineering, ncek, 06836 Ankara, Turkey Engineering Department, Pittsburgh, PA, 15213-3890, U.S.A. e-mail: pkk@ece.cmu.edu Abstract Mechatronics

  17. Creating an intelligent agent for StarCraft: Brood War

    E-Print Network [OSTI]

    Ernst, Damien

    Creating an intelligent agent for StarCraft: Brood War University of Liège 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

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    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, well test design, implementation and interpretation, reservoir modeling, and simulation are being

  19. 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

  20. 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

  1. Beyond ERP: Towards Intelligent Manufacturing Planning and Control

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    Resources Planning (MRP II) · Just in Time production (JIT) · Lean Manufacturing, etc. Why? Science: #12Beyond ERP: Towards Intelligent Manufacturing Planning and Control #12;Contents: · History: Advances in IT in Manufacturing Planning and Control (MPC) · The role of OR in MPC · An evaluation

  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. Context Interchange: New Features and Formalisms for the Intelligent Integration

    E-Print Network [OSTI]

    Bressan, Stéphane

    mediated data access to both traditional and web-based information sources. Categories and Subject information sources and receivers has grown at an unprecedented rate in the last few years, contributedContext Interchange: New Features and Formalisms for the Intelligent Integration of Information

  5. Intelligent Sensor Placement for Hot Server Detection in Data Centers

    E-Print Network [OSTI]

    Xing, Guoliang

    Intelligent Sensor Placement for Hot Server Detection in Data Centers Xiaodong Wang, Xiaorui Wang of many data centers is caused by the inefficient operation of their cooling systems. Without effective technology has recently been adopted for data-center thermal monitoring because of its nonintrusive nature

  6. Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Duckett, Tom

    Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE: Autonomous Mental Development of an adult brain, such as vision, speech, and language. Nevertheless, these traditional approaches have." A Definition What is autonomous mental development? With time, a brainlike natural or an artificial embodied

  7. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

    Computer Science and Artificial Intelligence Laboratory Technical Report massachusetts institute is a penultimate draft. The final version was published as a chapter in Machine Learning for Computer Vision (2012. Abstract In recent years, scientific and technological advances have produced artificial systems that have

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

    E-Print Network [OSTI]

    Business Intelligence: The Next Frontier for Information Systems Research? Panel at WITS­2001 1 1 Panel Description. In: Proceedings of the Workshop on Information Technologies and Systems (WITS '01 with the International Conference on Information Systems (http://isds.bus.lsu.edu/icis2001/). Section on Panel Chairs did

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

    E-Print Network [OSTI]

    Business Intelligence: The Next Frontier for Information Systems Research? Panel at WITS-20011 1 Panel Description. In: Proceedings of the Workshop on Information Technologies and Systems (WITS '01 with the International Conference on Information Systems (http://isds.bus.lsu.edu/icis2001/). Section on Panel Chairs did

  10. FUTURE POWER GRID INITIATIVE An Intelligent Agent Platform

    E-Print Network [OSTI]

    FUTURE POWER GRID INITIATIVE VOLTTRONTM : An Intelligent Agent Platform for the Smart Grid Two-way Power Flows n Decentralized Control To Support Micro-Grids And Islanding n Enable Load, not developed past simulation, and/or do not fit the requirements of the power grid. VOLTTRON has become

  11. Scripted Artificially Intelligent Basic Online Tactical Simulation Jesse D. Phillips+

    E-Print Network [OSTI]

    Dascalu, Sergiu

    Scripted Artificially Intelligent Basic Online Tactical Simulation Jesse D. Phillips+ Roger V.+ Department of Computer Science and Engineering+ CAVCaM University of Nevada, Reno Desert Research Institute of the concepts. This paper presents details of the idea, specification, design, and functionality of the Scripted

  12. 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

  13. Associations amongst emotional intelligence, personality and reaction times 

    E-Print Network [OSTI]

    Lau, Michelle

    2008-06-27

    . No connection, of any significance or in any direction, was found between EI and intelligence. The correlation between Extraversion and its response latency replicated the finding of Akrami et al’s (2007) of a quadratic inverted-U trend. Openness was also found...

  14. ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes*

    E-Print Network [OSTI]

    Mackworth, Alan K.

    ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes* A. K. Mackworth Laboratory of predetermined interpretations of particular categories of picture junctions and corners. 1. Introduction One way to capture the meaning of pictures is to investigate the relationship between two domains: the picture

  15. 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

  16. 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

  17. Sensor Networks Challenges for Intelligent Buildings Alberto Eduardo Cerpa

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    research challenges to realize sensor network technology for intelligent buildings. Hardware Cost: the current cost of each individual sensor unit is still very high. Commercially available platforms cost prototypes of low-power consumption cameras costing in the order of $200 per unit [4]. It is critical

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université 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

  19. Intelligent Lighting System Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Kumaar, A A Nippun; TSB, Sudarshan; 10.5121/ijasuc.2010.1402

    2011-01-01

    This paper examines the use of Wireless Sensor Networks interfaced with light fittings to allow for daylight substitution techniques to reduce energy usage in existing buildings. This creates a wire free system for existing buildings with minimal disruption and cost.

  20. Original Article Journal of Intelligent Material Systems

    E-Print Network [OSTI]

    Tan, Xiaobo

    ­metal composite sensors Hong Lei, Chaiyong Lim and Xiaobo Tan Abstract Motivated by their structural monitoring and energy harvesting applications, in this article, we study the modeling and inverse compensation (typically open-circuit voltage or short-circuit current) across the Smart Microsystems Laboratory

  1. Information Technology and Intelligent Transportation: A

    E-Print Network [OSTI]

    Yehudai, Amiram

    ­ Will develop novel classes of applications · Colleges: engineering, business, urban planning Transportation ·Environmental: ­ > 50% of hazardous air pollutants in U.S., ­ up to 90% of the carbon monoxide in urban air #12 Motorization Growth: Road Vehicle Populations by Region, 1996 and 2020 Source: EIA, International Energy

  2. Efficient Semantic Information Exchange for Ambient Intelligence

    E-Print Network [OSTI]

    Eijk, Rogier Maurice van

    the system often consists of mobile devices with limited energy supply, mobile communications, which interoperability in agent systems is usually achieved by an ontology, which is defined as a shared specification on the first type of applications. More specifically, we will focus on systems that support individuals via

  3. Applied Intelligence The International Journal of Artificial

    E-Print Network [OSTI]

    Potter, Don

    including pro- tecting crops from damage, avoiding heat stress on animals and humans, and in planning related to energy management. Current web-based artificial neural network (ANN) mod- els on the Automated, will cause the wa- ter vapor to condense into liquid water. The dew point is the saturation temperature

  4. "Smart" Cameras and "Intelligent" Sensor Networks

    E-Print Network [OSTI]

    Elimelech, Menachem

    , mechanical engineering, chemical engineering, environmental engineering, and applied physics). Graduate Detectors CFL Conversion Breakthroughs In Nanotechnology In the Spotlight: Kim Woodrow In the Spotlight: Rob, energy is wasted. While the impact may be modest at the individual level, when you take into account

  5. Intelligent wind power prediction systems final report

    E-Print Network [OSTI]

    (at)dongenergy.dk) Lars Voulund (larvo(at)dongenergy.dk) DONG Energy A/S Skærbæk June 29, 2007 PSO Project number: 6503 by the Danish utilities PSO fund (FU-4101) and with Informatics and Mathematical Modelling, Technical University in Finland. The project budget was DKK 3.37 million, of which DKK 2.07 million was granted under the PSO

  6. A DISTRIBUTED INTELLIGENT AUTOMATED DEMAND RESPONSE BUILDING MANAGEMENT SYSTEM

    SciTech Connect (OSTI)

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

    2013-12-30

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

  7. 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

    2007-01-01

    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.

  8. Symbolic diagnosis for intelligent control of real-time systems 

    E-Print Network [OSTI]

    Jowers, Steven James

    1989-01-01

    automation, and aerospace power systems. The approach is to create a generic, symbolic shell to interpret data from 'real-time' numerical processes. The interpreted data is then utilized by com- panion symbolic and numeric modules resulting in a dynamic... 19 24 25 26 28 A. Intelligent control paradigm -overview . B. Software-intensive radio application . C. The Symbolic Diagnostician . . D. Design implementation . E. Real-time constraint 28 32 35 44 46 IV IMPLEMENTING THE DIAGNOSTIC...

  9. 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...

  10. Analyzing Pathways using SAT-based Ashish Tiwari, Carolyn Talcott, Merrill Knapp, Patrick Lincoln, and Keith

    E-Print Network [OSTI]

    above, a reaction network simply maps to a Petri net. Analyzing Petri nets is not easy. For instance, Patrick Lincoln, and Keith Laderoute SRI International, Menlo Park, CA 94025 Abstract. A network understand such generic networks and answer queries using them? In this paper, we present a novel approach

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

    E-Print Network [OSTI]

    Firestone, Jeremy

    Analysis of Offshore Wind Development: A Non-Market, Stated Preference Approach to Estimate Impact and WTP of Michigan ($1,500) 2012 ­ Offshore wind research grant, Citizens' Greener Evanston ($7,500) 2011 ­ Solar · Researching the social and economic dimensions of mid-Atlantic offshore wind development Great Lakes

  12. A Note on Weakly Complete Alyson Fox and Michael P. Knapp1

    E-Print Network [OSTI]

    Knapp, Michael

    the terms a1, . . . , ak are known, we define ak+1 to be the smallest number greater than ak which can not be written as a sum of terms already in the sequence. For 1 Corresponding author. 2010 Mathematics Subject complete sequence is defined as above and has initial terms a1 = n and a2 = n+d, with 2 d n-8

  13. The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2005) and IEEE International Conference on e-

    E-Print Network [OSTI]

    Melbourne, University of

    The 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing sessions focusing on both theory and applications of intelligent sensors and smart systems. In addition Conference Organiser: ARC Research Networks on Intelligent Sensors, Sensor Networks and Information

  14. Intelligence Community Student Opportunities (Virtual Information Session)

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPLforLDRDEnergy Copyrights ASite ForResearch, Development,Department|

  15. Categorical Exclusion Determinations: Intelligence and Counterintelligence

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

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a lCaribElectric powerMeasures to reduce|Indiana. DOCUMENTS AVAILABLE|

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual PropertyEnergy Analysis

  17. Intelligent Inferencing and Haptic Simulation for Chinese Acupuncture Learning and Training

    E-Print Network [OSTI]

    newly proposed Intelligent Fuzzy Petri Net (IFPN) is designed and implemented to train the learners, from head to foot, are connected by invisible networks consisting of meridians (channels

  18. Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art Selmer, doing it. The result of our engineering is BRUTUS, an artificial storyteller who certainly appears

  19. Social Perception, Emotional Intelligence and Attachment Style: Does A Correlation Exist? 

    E-Print Network [OSTI]

    Kamran, Emma Z

    2008-06-27

    Abstract This study investigated whether correlations existed between social perception (SP), emotional intelligence (EI) and attachment styles (AS). The sample consisted of 92 Caucasian participants recruited from the ...

  20. Connecting the Dots. Intelligence and Law Enforcement since 9/11

    E-Print Network [OSTI]

    Stalcup, Mary Margaret

    2009-01-01

    Intelligence & National Security no. 2 (2007). ———. "OurCounterproliferation and U.S. National Security." WashingtonKissinger, Henry A. "National Security Study Memorandum 59."

  1. 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

  2. 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 ...

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

    E-Print Network [OSTI]

    California at Irvine, University of

    , integrating intermittent renewable sources and intelligently adapting loads to match the available energy. Key together of distributed communication technologies and distributed renewable energies via an open access and Motivation 1.1. The Energy Challenge Today's energy infrastructure is a marvel of the Industrial Age, yet

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

    SciTech Connect (OSTI)

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

    2005-12-26

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

  5. Center for Intelligent Fuel Cell Materials Design

    SciTech Connect (OSTI)

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

    2008-08-26

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

  6. American Association for Artificial Intelligence Spring Symposium 3/2004, Stanford University Keynote Lecture. FFrroomm HHuummaann EEmmoottiioonnss ttoo RRoobboott EEmmoottiioonnss

    E-Print Network [OSTI]

    Fellous, Jean-Marc

    1 American Association for Artificial Intelligence ­ Spring Symposium 3/2004, Stanford University © 2004, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. open a new

  7. 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

  8. 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

  9. Sensor fusion for intelligent process control.

    SciTech Connect (OSTI)

    Connors, John J. (PPG Industries, Inc., Harmar Township, PA); Hill, Kevin (PPG Industries, Inc., Harmar Township, PA); Hanekamp, David (PPG Industries, Inc., Harmar Township, PA); Haley, William F. (PPG Industries, Inc., Wichita Falls, TX); Gallagher, Robert J.; Gowin, Craig (PPG Industries, Inc., Batavia, IL); Farrar, Arthur R. (PPG Industries, Inc., Wichita Falls, TX); Sheaffer, Donald A.; DeYoung, Mark A. (PPG Industries, Inc., Mt. Zion, IL); Bertram, Lee A.; Dodge, Craig (PPG Industries, Inc., Mt. Zion, IL); Binion, Bruce (PPG Industries, Inc., Mt. Zion, IL); Walsh, Peter M.; Houf, William G.; Desam, Padmabhushana R. (University of Utah, Salt Lake City, UT); Tiwary, Rajiv (PPG Industries, Inc., Harmar Township, PA); Stokes, Michael R. (PPG Industries, Inc.); Miller, Alan J. (PPG Industries, Inc., Mt. Zion, IL); Michael, Richard W. (PPG Industries, Inc., Lincoln, AL); Mayer, Raymond M. (PPG Industries, Inc., Harmar Township, PA); Jiao, Yu (PPG Industries, Inc., Harmar Township, PA); Smith, Philip J. (University of Utah, Salt Lake City, UT); Arbab, Mehran (PPG Industries, Inc., Harmar Township, PA); Hillaire, Robert G.

    2004-08-01

    An integrated system for the fusion of product and process sensors and controls for production of flat glass was envisioned, having as its objective the maximization of throughput and product quality subject to emission limits, furnace refractory wear, and other constraints. Although the project was prematurely terminated, stopping the work short of its goal, the tasks that were completed show the value of the approach and objectives. Though the demonstration was to have been done on a flat glass production line, the approach is applicable to control of production in the other sectors of the glass industry. Furthermore, the system architecture is also applicable in other industries utilizing processes in which product uniformity is determined by ability to control feed composition, mixing, heating and cooling, chemical reactions, and physical processes such as distillation, crystallization, drying, etc. The first phase of the project, with Visteon Automotive Systems as industrial partner, was focused on simulation and control of the glass annealing lehr. That work produced the analysis and computer code that provide the foundation for model-based control of annealing lehrs during steady state operation and through color and thickness changes. In the second phase of the work, with PPG Industries as the industrial partner, the emphasis was on control of temperature and combustion stoichiometry in the melting furnace, to provide a wider operating window, improve product yield, and increase energy efficiency. A program of experiments with the furnace, CFD modeling and simulation, flow measurements, and sensor fusion was undertaken to provide the experimental and theoretical basis for an integrated, model-based control system utilizing the new infrastructure installed at the demonstration site for the purpose. In spite of the fact that the project was terminated during the first year of the second phase of the work, the results of these first steps toward implementation of model-based control were sufficient to demonstrate the value of the approach to improving the productivity of glass manufacture.

  10. 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

  11. Is a Machine Realization of Truly Human-Like Intelligence Achievable?

    E-Print Network [OSTI]

    McClelland, James L. "Jay"

    Is a Machine Realization of Truly Human-Like Intelligence Achievable? James L. McClelland Published a century of research on machine intelligence, humans remain far better than our strongest computing machines at a wide range of natural cognitive tasks, such as object recognition, lan- guage comprehension

  12. 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

  13. 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

  14. Automation Techniques for Intelligent Environments Prediction of Building Activity Patterns Using a Cyclic Genetic Algorithm

    E-Print Network [OSTI]

    Parker, Gary B.

    Automation Techniques for Intelligent Environments Prediction of Building Activity Patterns Using learning the use schedule of an academic building in order to intelligently control various aspects of the environment. Motion sensors are used to monitor and record the activity of each of the rooms in the building

  15. Sensor-to-symbol Reasoning for Embedded Intelligence David Kortenkamp and Patrick Beeson

    E-Print Network [OSTI]

    Beeson, Patrick

    Sensor-to-symbol Reasoning for Embedded Intelligence David Kortenkamp and Patrick Beeson TRACLabs, intelligent system has sensors that connect it to the world. These sensors generate low-level data that rep Inc. korten@traclabs.com Nick Cassimatis RPI cassin@rpi.edu Abstract Sensor-to-symbol conversion lies

  16. A Wireless Sensor Network for Smart Roadbeds and Intelligent Transportation Systems

    E-Print Network [OSTI]

    A Wireless Sensor Network for Smart Roadbeds and Intelligent Transportation Systems by Ara N a wireless sensor package to instrument roadways for Intelligent Transportation Systems. The sensor package______________________________________________________ Arthur C. Smith Chairman, Department Committee on Graduate Theses #12;2 A Wireless Sensor Network

  17. 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

  18. Aalborg Universitet Intelligent DC Microgrid Living Laboratories -A Chinese-Danish Project

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    Aalborg Universitet Intelligent DC Microgrid Living Laboratories - A Chinese-Danish Project Diaz Microgrid Living Laboratories - A Chinese-Danish Project. In IEEE ICDCM 2015. IEEE Press. General rights.aau.dk on: juli 07, 2015 #12;Intelligent DC Microgrid Living Laboratories - A Chinese-Danish Project Enrique

  19. 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 Special nuclear materials (SNMs) are weak emitters of radiation and are difficult to detect, especially developed intelligent sensor management strategies for nuclear search and radiological surveys

  20. Proceedingsof 2004 IEEEiRSJ InternationalConference on Intelligent Rob018 and Systems

    E-Print Network [OSTI]

    Shen, Wei-Min

    is the process of using robots, robotic modules, intelligent or non-intelligent components to make larger complex are likely to be big and complex (e.g., a typical solar power system would have many thousands of components. Roeonc-AsstMBLY STRATEGY To validate our approach, we have select

  1. American Institute of Aeronautics and Astronautics Automation Bias in Intelligent Time Critical Decision

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    American Institute of Aeronautics and Astronautics 1 Automation Bias in Intelligent Time Critical levels of automation can be introduced by intelligent decision support systems, from fully automated, where the operator is completely left out of the decision process, to minimal levels of automation

  2. Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients Sarit Kraus

    E-Print Network [OSTI]

    Kraus, Sarit

    Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients Sarit Kraus- ities with the rehabilitation and care necessary to al- low them good quality of life creates overwhelming de- mands for health and rehabilitation services. We sug- gest that advancements in intelligent

  3. Intelligent Market-Making in Artificial Financial A.B. Computer Science

    E-Print Network [OSTI]

    Poggio, Tomaso

    Intelligent Market-Making in Artificial Financial Markets by Sanmay Das A.B. Computer Science by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Department Committee on Graduate Students #12;2 #12;Intelligent Market-Making in Artificial Financial Markets by Sanmay Das Submitted to the Department of Electrical Engineering and Computer

  4. Artificial Intelligence Review 12: 393427, 1998. 393 c 1998 Kluwer Academic Publishers. Printed in the Netherlands.

    E-Print Network [OSTI]

    Chater, Nick

    Artificial Intelligence Review 12: 393­427, 1998. 393 c 1998 Kluwer Academic Publishers. Printed a psychological and a CBR perspective. Key words: Artificial Intelligence and Law, case-based reasoning, exemplar and psychological research, focussing on similarity in human and artificial case-based reasoning in law. We argue

  5. Artificial Intelligence and Literary Creativity Inside the Mind of Brutus, a Storytelling Machine

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence and Literary Creativity Inside the Mind of Brutus, a Storytelling Machine Artificial Intelligence for permission to use, in Chapter ??, parts of the paper "The Case Against AI From . . . . . . . . . . . . . . xvi How Do You Build an Artificial Author? . . . . . . . . . . . xxi Why Build an Artificial Author

  6. Artificial Markets and Intelligent Agents S.B. Massachusetts Institute of Technology (1995)

    E-Print Network [OSTI]

    Poggio, Tomaso

    1995-01-01

    Artificial Markets and Intelligent Agents by Tung Chan S.B. Massachusetts Institute of Technology. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Arthur C. Smith Chairman, Departmental Committee on Graduate Students #12;#12;Artificial Markets and Intelligent Agents by Tung Chan Submitted to the Department of Electrical Engineering and Computer Science

  7. 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

  8. 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

  9. Adaptive Robust Control: Theory and Applications to Integrated Design of Intelligent and Precision

    E-Print Network [OSTI]

    Yao, Bin

    Adaptive Robust Control: Theory and Applications to Integrated Design of Intelligent and Precision adaptive robust control (ARC) theory that has been developed recently well reflects such an intuitive Mechatronic Systems Bin Yao Intelligent and Precision Control Laboratory School of Mechanical Engineering

  10. The Design of an Intelligent Decision Support Tool for Submarine Commanders

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    1 The Design of an Intelligent Decision Support Tool for Submarine Commanders by Geoffrey P, or the U.S. Government. #12;3 The Design of an Intelligent Decision Support Tool for Submarine Commanders search of headlines shows a high number of maritime collisions and accidents. The USS Hartford, a nuclear

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

    SciTech Connect (OSTI)

    Scholtz, Jean; Endert, Alexander N.

    2014-08-01

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

  12. PREPRINT, published in International Journal of Pattern Recognition and Artificial Intelligence,

    E-Print Network [OSTI]

    Würtz, Rolf P.

    PREPRINT, published in International Journal of Pattern Recognition and Artificial Intelligence. Similarly in computer vision, where the space in which tasks are performed is usually differ- ent from Recognition and Artificial Intelligence, Vol. 17, No. 7, pages 1279­1302 (2003) 1280 Tino Lourens and Rolf P

  13. Face detection in intelligent ambiences with colored illumination Christina Katsimerou, Judith A. Redi, Ingrid Heynderickx

    E-Print Network [OSTI]

    : intelligent ambiences, adaptive lighting, face detection, skin segmentation, color constancy 1. Introduction of a person in a room from videos and re- sponds adaptively to it with (multi-color) light settings, which. Human face detection is an essential step in the creation of intelligent lighting ambi- ences

  14. Presenting JECA: A Java Error Correcting Algorithm for the Java Intelligent Tutoring System

    E-Print Network [OSTI]

    Franek, Frantisek

    Presenting JECA: A Java Error Correcting Algorithm for the Java Intelligent Tutoring System Edward context involving small Java programs. Furthermore, this paper presents JECA (Java Error Correction is to provide a foundation for the Java Intelligent Tutoring System (JITS) currently being field-tested. Key

  15. A Prototype for an Intelligent Tutoring System for Students Learning to Program in Java TM

    E-Print Network [OSTI]

    Franek, Frantisek

    A Prototype for an Intelligent Tutoring System for Students Learning to Program in Java TM Edward R, L8S 4L8 +1 (905) 525­9140 Ext. 23233 franek@mcmaster.ca Abstract The ``Java TM Intelligent Tutoring in their first programming course in Java TM at the College and University level. This paper presents an overview

  16. 7 Evolution When we are looking for intelligent life outside the Earth, there is a funda-

    E-Print Network [OSTI]

    Ulmschneider, Peter

    organism on Earth ghts for its existence (food, light, territory, and shelter) and for its successful7 Evolution When we are looking for intelligent life outside the Earth, there is a funda- mental intelligence? As this is hotly debated, we will now describe the development of life on Earth in more detail

  17. A Multiview Approach for Intelligent Data Analysis based on Data Operators

    E-Print Network [OSTI]

    Yao, Yiyu

    A Multiview Approach for Intelligent Data Analysis based on Data Operators Yaohua Chen and Yiyu Yao a multiview framework of intelligent data analysis based on modal-style data operators. The classes and granulated views of the data. It is shown that different structures of the data can also be constructed based

  18. B.T. Gattefoss N 96 -2003 25 NEW BIOMATERIALS FOR INTELLIGENT BIOSENSING,

    E-Print Network [OSTI]

    Peppas, Nicholas A.

    B.T. Gattefossé N° 96 - 2003 25 NEW BIOMATERIALS FOR INTELLIGENT BIOSENSING, RECOGNITIVE DRUG-0231 JournéesGaléniques,2003 Summary Engineering the molecular design of intelligent biomaterials by controlling in dental systems, polymeric catheters, 1. Introduction Recognition in nature is a complex orchestration

  19. Deception and Denial in Iraq--The Limits of Secret Intelligence

    E-Print Network [OSTI]

    Katz, Jonathan I.

    Deception and Denial in Iraq-- The Limits of Secret Intelligence and the Intelligent Adversary Corollary Running title: Deception and Denial in Iraq Jonathan I. Katz Department of Physics CB1105 1 #12;Abstract Prior to the Second Gulf War Iraq accomplished the remarkable feat of convincing

  20. DATA MINING FOR BUSINESS INTELLIGENCE MIS 382N 9 (Unique 03760), MKT 382 17 (Unique 05055)

    E-Print Network [OSTI]

    Ghosh, Joydeep

    Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel1 DATA MINING FOR BUSINESS INTELLIGENCE MIS 382N 9 (Unique 03760), MKT 382 17 (Unique 05055) T Th 3:30-5:00 p.m. (GSB 3.104) Instructor: Professor Anitesh Barua Office: CBA 5.232 Email: Anitesh

  1. DATA MINING FOR BUSINESS INTELLIGENCE MIS 373 17 (Unique 03705), MKT 372 (Unique 04935)

    E-Print Network [OSTI]

    Ghosh, Joydeep

    Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel1 DATA MINING FOR BUSINESS INTELLIGENCE MIS 373 17 (Unique 03705), MKT 372 (Unique 04935) T Th 2:00-3:30 p.m. (UTC 1.130) Instructor: Professor Anitesh Barua Office: CBA 5.232 Email: Anitesh

  2. To appear in: Embodied Artificial Intelligence (2004) Springer-Verlag Removing some `A' from AI

    E-Print Network [OSTI]

    2004-01-01

    To appear in: Embodied Artificial Intelligence (2004) Springer-Verlag Removing some `A' from AI://www.ece.gatech.edu/research/neuro/ #12;EMBODIED ARTIFICIAL INTELLIGENCE (pre-print) Springer-Verlag 2 tissue and engineered systems. We to AI since the advent of the perceptron and consequent artificial neural networks, developed using

  3. Dual Mechanisms of Cognitive Control: Interference Effects on Working Memory are Modulated by Expectancy and Fluid Intelligence

    E-Print Network [OSTI]

    Burgess, Greg

    ), proactive control mechanisms preferred · Fluid Intelligence (gF) · Fluid intelligence possibly relatedDual Mechanisms of Cognitive Control: Interference Effects on Working Memory are Modulated by Expectancy and Fluid Intelligence Gregory C. Burgess and Todd S. Braver Department of Psychology , Washington

  4. 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

  5. For release Tuesday, Dec. 16, at 0600 PST Stanford to host 100-year study on artificial intelligence

    E-Print Network [OSTI]

    Horvitz, Eric

    of artificial intelligence in all aspects of life. By Chris Cesare | Stanford Engineering Stanford University and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play. This effort, called the One Hundred Year Study on Artificial Intelligence, or AI100

  6. Annals of Mathematics and Artificial Intelligence 31: 223238, 2001. 2001 Kluwer Academic Publishers. Printed in the Netherlands.

    E-Print Network [OSTI]

    Theraulaz, Guy

    Annals of Mathematics and Artificial Intelligence 31: 223­238, 2001. 2001 Kluwer Academic Publishers. Printed in the Netherlands. Animal­robots collective intelligence Geoffroy De Schutter a , Guy complex per- formances and produce Collective Intelligence (CI) at the level of the group. This context

  7. 2. State-space search D. Keil Artificial Intelligence 6/13 David Keil, Framingham State University

    E-Print Network [OSTI]

    Keil, David M.

    2. State-space search D. Keil Artificial Intelligence 6/13 David Keil, Framingham State University CSCI 300 Artificial Intelligence 2. State-space search 1. Constraint and optimization problems 2. Goal-driven search 3. Exhaustive search and intractability 4. Heuristics 1D. Keil CSCI 300 Artificial Intelligence 2

  8. In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June In Proceedings of the 6th

    E-Print Network [OSTI]

    Tecuci, Gheorghe

    In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June 2000. 1 In Proceedings of the 6th International Conference on Artificial Intelligence in Design OF AN INTELLIGENT AGENT FOR THE DESIGN OF LOCAL AREA NETWORKS HADI REZAZAD*, GHEORGHE TECUCI Learning Agents

  9. An artificial intelligence experiment in college math education Oliver Knill, Johnny Carlsson, Andrew Chi and Mark Lezama

    E-Print Network [OSTI]

    Knill, Oliver

    An artificial intelligence experiment in college math education Oliver Knill, Johnny Carlsson to solve simple pre-wired calculus problems. 1 Introduction 1.1 Artificial intelligence in education. Artificial intelligent projects like "Eliza" [8], "Student" or "GPS" [5] attempted to produce agents which

  10. AAAI-10 is the Twenty-Fourth AAAI Confer-ence on Artificial Intelligence (AI). The pur-

    E-Print Network [OSTI]

    Napp, Nils

    ) welcomes papers in robotics, vision, activity recognition and oth- er areas of artificial intelligenceAAAI-10 is the Twenty-Fourth AAAI Confer- ence on Artificial Intelligence (AI). The pur- pose challenges to the AI community. The Special Track on Artificial Intelligence and the Web (AIW) focuses

  11. A Framework of Business Intelligence-driven Data Mining for e-Business Yang Hang, Simon Fong

    E-Print Network [OSTI]

    Fong, Chi Chiu "Simon"

    --This paper proposes a data mining methodology called Business Intelligence-driven Data Mining (BId intelligence knowledge and existent various data mining methods in e- Business. BIdDM contains two processes-Shop is provided to illustrate the use of BIdDM. Keywords-Business intelligence; Data mining; BI-driven Data Mining

  12. LEXSYS: Architecture and Implication for Intelligent Agent systems

    E-Print Network [OSTI]

    Robert, Charles A B

    2010-01-01

    LEXSYS, (Legume Expert System) was a project conceived at IITA (International Institute of Tropical Agriculture) Ibadan Nigeria. It was initiated by the COMBS (Collaborative Group on Maize-Based Systems Research in the 1990. It was meant for a general framework for characterizing on-farm testing for technology design for sustainable cereal-based cropping system. LEXSYS is not a true expert system as the name would imply, but simply a user-friendly information system. This work is an attempt to give a formal representation of the existing system and then present areas where intelligent agent can be applied.

  13. DEMAND MANAGEMENT FOR HOME ENERGY NETWORKS USING COST-OPTIMAL APPLIANCE SCHEDULING

    E-Print Network [OSTI]

    Rakocevic, Veselin

    , Madrid, Spain veselin.rakocevic.1@city.ac.uk Keywords: Smart Homes, Optimization for Efficient Energy Consumption, Energy Profiling and Measurement, Energy Demand Management, Economic Models of Energy Efficiency. For energy providers, the greatest remaining challenges lie in: (1) development of intelligent resource

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

    SciTech Connect (OSTI)

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

    2003-02-12

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

  15. Dynamic Network Energy Management via Proximal Message Passing

    E-Print Network [OSTI]

    periods Á generators Á loads (fixed, deferrable, curtailable) Á energy storage systems Á transmission elements Á generators Á loads (deferrable, curtailable, fixed) Á transmission lines Á energy storage results Extensions and conclusion Introduction 2 #12;Smart grid Á embed intelligence in energy systems

  16. EBRP: Energy Band based Routing Protocol for Wireless Sensor Networks

    E-Print Network [OSTI]

    Durresi, Arjan

    EBRP: Energy Band based Routing Protocol for Wireless Sensor Networks Sasanka Madiraju Cariappa in an intelligent manner. We study the concept of energy fairness in routing in Sensor Networks so as to increase to route data based on the residual energy of the nodes. This algorithm divides the network into different

  17. Abstract--In this paper, we report on work that applies a form of artificial intelligence (AI) to autonomous underwater vehicle

    E-Print Network [OSTI]

    Idaho, University of

    1 Abstract--In this paper, we report on work that applies a form of artificial intelligence (AI-centered intelligence (LCI), an approach to artificial intelligence (AI) that involves the dual use of the languages) to autonomous underwater vehicle (AUV) operations. Called "language-centered intelligence" (LCI), this form

  18. Elio, R., Haddadi, A., & Singh, A. (2000). Task models, intentions, and agent communication. Lecture Notes in Artificial Intelligence 1886: Proceedings of the Pacific Rim Conference on AI

    E-Print Network [OSTI]

    Elio, Renée

    2000-01-01

    . Lecture Notes in Artificial Intelligence 1886: Proceedings of the Pacific Rim Conference on AI (PRICAI

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

    Office of Scientific and Technical Information (OSTI)

    Renewable Energy Laboratory (NREL), Golden, CO. Sponsoring Org: USDOE Office of Energy Efficiency and Renewable Energy Wind Power Technologies Office Country of Publication:...

  20. 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

    2013-01-01

    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...

  1. Quantum Interaction Approach in Cognition, Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor; Sandro Sozzo

    2011-04-17

    The mathematical formalism of quantum mechanics has been successfully employed in the last years to model situations in which the use of classical structures gives rise to problematical situations, and where typically quantum effects, such as 'contextuality' and 'entanglement', have been recognized. This 'Quantum Interaction Approach' is briefly reviewed in this paper focusing, in particular, on the quantum models that have been elaborated to describe how concepts combine in cognitive science, and on the ensuing identification of a quantum structure in human thought. We point out that these results provide interesting insights toward the development of a unified theory for meaning and knowledge formalization and representation. Then, we analyze the technological aspects and implications of our approach, and a particular attention is devoted to the connections with symbolic artificial intelligence, quantum computation and robotics.

  2. 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

  3. Making the World Safe for Nuclear Energy 65 John Deutch, Institute Professor at the Massachusetts Institute of Technology, served as

    E-Print Network [OSTI]

    Deutch, John

    Making the World Safe for Nuclear Energy 65 John Deutch, Institute Professor at the Massachusetts Institute of Technology, served as Under Secretary of Defense for Acquisition & Technology, Deputy Secretary of Defense, and Director of Central Intelligence in the Clinton

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

    E-Print Network [OSTI]

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

    2005-01-01

    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, ...

  5. Development and implementation of an artificially intelligent search algorithm for sensor fault detection using neural networks 

    E-Print Network [OSTI]

    Singh, Harkirat

    2004-09-30

    This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control ...

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

    E-Print Network [OSTI]

    Zhao, Z.; Xiong, Y.

    2004-01-01

    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...

  7. The Artificial Intelligence of Hubert L. Dreyfus: A Budget of Fallacies

    E-Print Network [OSTI]

    Papert, Seymour

    1968-01-01

    In December 1965 a paper by Hubert Dreyfus revived the old game of generating curious arguments for and against Artificial Intelligence. Dreyfus hit top form in September 1967 with an explanation in the Review of ...

  8. Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art

    E-Print Network [OSTI]

    Bringsjord, Selmer

    Artificial Intelligence, Story Generation and Literary Creativity: the State of the Art this engineering would be like, by, in part, doing it. The result of our engineering is BRUTUS, an artificial

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

    E-Print Network [OSTI]

    Dodder, Rebecca Susanne

    2006-01-01

    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 ...

  10. Self-other reports of emotional intelligence: Using trait and ability measures to aggregate and moderate 

    E-Print Network [OSTI]

    Palladina, Jessica

    2008-12-04

    Despite over a decade of recognition in popular psychology, the construct known as emotional intelligence (EI) remains elusive in many aspects of empirical research. Self-other reporting as well as multiple measurement methods were used...

  11. Multivariate Activation and Connectivity Patterns Discriminate Speech Intelligibility in Wernicke's, Broca's, and Geschwind's Areas

    E-Print Network [OSTI]

    Levitin, Daniel

    Multivariate Activation and Connectivity Patterns Discriminate Speech Intelligibility in Wernicke. Here we use functional magnetic resonance imaging with a novel whole-brain multivariate pattern relies on differential multivariate response and connectivity patterns in Wernicke's, Broca

  12. IROS2007 Workshop on Performance Evaluation of Intelligent and Autonomous Systems Kaz Kawamura, Ph.D.

    E-Print Network [OSTI]

    to Cognitive Systems: A Perspective from Cognitive Robotics" Introduction Today robotics technology.g., partner to the elderly, rehabilitations, search and rescue, etc. If robotics technology intelligence, cognitive science, neuroscience, biology, psychology, and cybernetics. Thus, attempting

  13. Order to Disorder Transitions in Hybrid Intelligent Systems: a Hatch to the Interactions of Nations -Governments

    E-Print Network [OSTI]

    Owladeghaffari, Hamed

    2008-01-01

    In this study, under general frame of MAny Connected Intelligent Particles Systems (MACIPS), we reproduce two new simple subsets of such intelligent complex network, namely hybrid intelligent systems, involved a few prominent intelligent computing and approximate reasoning methods: self organizing feature map (SOM), Neuro-Fuzzy Inference System and Rough Set Theory (RST). Over this, we show how our algorithms can be construed as a linkage of government-society interaction, where government catches various fashions of behavior: solid (absolute) or flexible. So, transition of such society, by changing of connectivity parameters (noise) from order to disorder is inferred. Add to this, one may find an indirect mapping among finical systems and eventual market fluctuations with MACIPS.

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

    E-Print Network [OSTI]

    Reyes, Eumir P. (Eumir Paulo Reyes Morales)

    2010-01-01

    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 ...

  15. Exploring the human-car bond through an Affective Intelligent Driving Agent (AIDA)

    E-Print Network [OSTI]

    Foen, Nancy (Nancy V.)

    2012-01-01

    As the amount of time spent inside vehicles increases, there is an ever more pressing need for safe interfaces that support drivers while they are multi-tasking. We present an Affective Intelligent Driving Agent (AIDA), a ...

  16. Artificial Intelligence 184185 (2012) 1737 Contents lists available at SciVerse ScienceDirect

    E-Print Network [OSTI]

    Yang, Qiang

    2012-01-01

    Artificial Intelligence 184­185 (2012) 17­37 Contents lists available at SciVerse Science a a Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water

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

    E-Print Network [OSTI]

    Ochiai, Yukiko

    2011-07-04

    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. ...

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

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13

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

    SciTech Connect (OSTI)

    Saini, K. K.; Saini, Sanju [CDLM engg. College Panniwala Mota, Sirsa and Murthal, Sonipat, Haryana (India)

    2008-10-07

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

  20. Foreign Energy Company Competitiveness: Background information

    SciTech Connect (OSTI)

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

    1994-10-01

    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.

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

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

    Fuel Resiliency: US Fuels Supply Infrastructure Comparing the Impacts of Northeast Hurricanes on Energy Infrastructure (April 2013) Year-in-Review: 2012 Energy Infrastructure...

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

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01

    Simulation,  Wetter, Michael.  Modelica?based Modeling and Hilding  Elmqvist.   Modelica  –  An  International  Effort 5).   Through  the  Modelica  “Buildings”  library  (

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

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01

    Open  Automated  Demand  Response  Communications from  7 Years of Automated Demand Response in Commercial Management and Demand Response in Commercial  Buildings. , 

  4. K. M. Passino and P. J. Antsaklis, "A System and Control Theoretic Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept. of Electrical and Computer Engineering,

    E-Print Network [OSTI]

    Antsaklis, Panos

    on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept. of Electrical Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept Perspective on Artificial Intelligence Planning Systems," Control Systems Technical Report #63, Dept

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

    E-Print Network [OSTI]

    Hodota, Kenichi

    2006-01-01

    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 ...

  6. 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

  7. Top-Down Intelligent Reservoir Modeling (TDIRM) Y.Gomez, Y. Khazaeni, S.D. Mohaghegh, SPE, West Virginia University, R. Gaskari, Intelligent Solutions, Inc.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    aspects of an oil reservoir. The models include different reservoir saturation conditions (saturated or under-saturated), different number of wells and different distributions of reservoir characteristicsSPE 124204 Top-Down Intelligent Reservoir Modeling (TDIRM) Y.Gomez, Y. Khazaeni, S.D. Mohaghegh

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

    SciTech Connect (OSTI)

    Paul Tubel

    2003-03-24

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

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

    SciTech Connect (OSTI)

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

    1984-10-01

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

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

    E-Print Network [OSTI]

    Hamadi, Yousseff

    Optimizing Architectural and Structural Aspects of Buildings towards Higher Energy Efficiency, intelligent building design, energy efficiency, construction costs, multi-objective optimization. 1 for the time being). But the more energy-efficient is the building, the more expensive tends to be its

  11. 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

  12. Intelligent Transportation Systems: A Compendium of Technology Summaries

    E-Print Network [OSTI]

    Deakin, Elizabeth

    2003-01-01

    interoperability of transport systems across and within the Member States; focusing on user safety, costs, and intermodal movement; rational energy

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

    E-Print Network [OSTI]

    Ulieru, Mihaela

    peak demand for energy enables reduction in total energy production, reducing demand for non-renewable, renewable forms of energy production into the grid (e.g., wind, solar). As demand falls and non-renewable AND MOTIVATION ritical infrastructures, such as power distribution systems are designed according to two

  14. 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

  15. Title: Moving GIS into the Ocean Realm: Meeting the Need for Intelligent Authors: Simon Evans, Jeanne Murday and Richard Lawrence.

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    Title: Moving GIS into the Ocean Realm: Meeting the Need for Intelligent Data Authors: Simon Evans provides the means of capturing/modeling ocean data and enabling the existence of "intelligent data objects advances have been made to offer a plethora of specific marine data sensors (e.g., Swathe Echo Sounders

  16. Abstract--The need for intelligent unmanned vehicles has been steadily increasing. These vehicles could be air-, ground-, space-,

    E-Print Network [OSTI]

    ). Replicating this vast array of sensors will be just as daunting as replicating the human brain. An intelligent1 Abstract--The need for intelligent unmanned vehicles has been steadily increasing. These vehicles environments, they need to include numerous sensors and they need to include both reactive and deliberative

  17. Intelligent Control of A Water Recovery System: Three years in the Pete Bonasso, David Kortenkamp and Carroll Thronesbery

    E-Print Network [OSTI]

    Kortenkamp, David

    Intelligent Control of A Water Recovery System: Three years in the Trenches Pete Bonasso, David under test was known as the integrated water recovery system (iWRS). We used the 3T intelligent control among four water processing subsystems. The control system would run 24/7 and be completely autonomous

  18. 210 Int. J. Business Intelligence and Data Mining, Vol. 9, No. 3, 2014 Copyright 2014 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    210 Int. J. Business Intelligence and Data Mining, Vol. 9, No. 3, 2014 Copyright © 2014 vague data: implementation and validation', Int. J. Business Intelligence and Data Mining, Vol. 9, No. 3 Support System Technology, and International Journal of Data Mining, Modelling and Management and member

  19. 9 The Future of Mankind The questions \\Why don't we have contact with extraterrestrial intelligent

    E-Print Network [OSTI]

    Ulmschneider, Peter

    9 The Future of Mankind The questions \\Why don't we have contact with extraterrestrial intelligent life?" and \\How will mankind evolve in the near future?" are intimately con- nected. Clearly extraterrestrial intelligent societies and their likely mode of behavior is to consider our own future development

  20. Annals of Mathematics and Artificial Intelligence 17 (1996) 37-83 Consistency, redundancy, and implied equalities in

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    1996-01-01

    Annals of Mathematics and Artificial Intelligence 17 (1996) 37-83 Consistency, redundancy interests in artificial intelligence have recently produced new results. One question is that of consistency by Charnes and Cooper [I01 and the monograph by Glover et al. [41]). They have also arisen in artificial