Sample records for gas intelligence vol

  1. 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

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

    E-Print Network [OSTI]

    Liu, Hugh H.T.

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

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

    E-Print Network [OSTI]

    Baumgartner, Peter

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

  4. Control and Intelligent Systems, Vol. 35, No. 2, 2007 REDUCED ORDER KALMAN FILTERING

    E-Print Network [OSTI]

    Simon, Dan

    Control and Intelligent Systems, Vol. 35, No. 2, 2007 REDUCED ORDER KALMAN FILTERING WITHOUT MODEL REDUCTION D. Simon* Abstract This paper presents an optimal discrete time reduced order Kalman filter of the estimation error covariance. Key Words Kalman filter, state estimatioh, order reduction 1. Introduction

  5. 73Electronic Transactions on Arti cial Intelligence Vol. 1 (1997): 73-104

    E-Print Network [OSTI]

    Thielscher, Michael

    73Electronic Transactions on Arti cial Intelligence Vol. 1 (1997): 73-104 http:==www.ep.liu.se/ej/etai/1997/004/http:==www.ep.liu.se/ej/etai/1997/004/ Refereed Article Michael Thielscher: A Theory inthis paper have been preliminarilyreported in (Thielscher, 1997a). #12;74 Publication and review

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

    E-Print Network [OSTI]

    Schindler, Konrad

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

  7. Gas & Galaxy Evolution ASP Conference Series, Vol. **VOLUME**, 2000

    E-Print Network [OSTI]

    Mihos, Chris

    Gas & Galaxy Evolution ASP Conference Series, Vol. **VOLUME**, 2000 J. E. Hibbard, M. P. Rupen#12;cant processing of atomic gas into other forms if this process is to be viable. Here I present, if the \\processing eÃ?ciency" (i.e., the frac- tion of gas processed into globular clusters or into hot gas through

  8. 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

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

    SciTech Connect (OSTI)

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

    1996-08-01T23:59:59.000Z

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

  10. Gas & Galaxy Evolution ASP Conference Series, Vol. **VOLUME**, 2000

    E-Print Network [OSTI]

    Mihos, Chris

    Gas & Galaxy Evolution ASP Conference Series, Vol. **VOLUME**, 2000 J. E. Hibbard, M. P. Rupen and J. H. van Gorkom, eds. Gas/Star O#11;sets in Tidal Tails J. C. Mihos Case Western Reserve University, Cleveland, OH 44106 Abstract. We use numerical simulations to study the development of gas/star o#11;sets

  11. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 20, NO. 3, MARCH 1998 281 A Hierarchical Latent Variable Model

    E-Print Network [OSTI]

    Bishop, Christopher M.

    of multivariate data. Most visualization algorithms aim to find a projection from the data space down to a twoIEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 20, NO. 3, MARCH 1998 281--Visualization has proven to be a powerful and widely-applicable tool for the analysis and interpretation

  12. Int. J. Oil, Gas and Coal Technology, Vol. 1, Nos. 1/2, 2008 65 Copyright 2008 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Int. J. Oil, Gas and Coal Technology, Vol. 1, Nos. 1/2, 2008 65 Copyright © 2008 Inderscience using neural networks', Int. J. Oil, Gas and Coal Technology, Vol. 1, Nos. 1/2, pp.65­80. Biographical

  13. Int. J. Oil, Gas and Coal Technology, Vol. 7, No. 2, 2014 115 Copyright 2014 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Int. J. Oil, Gas and Coal Technology, Vol. 7, No. 2, 2014 115 Copyright © 2014 Inderscience fields in Saudi Arabia', Int. J. Oil, Gas and Coal Technology, Vol. 7, No. 2, pp.115­131. Biographical

  14. 104 Int. J. Oil, Gas and Coal Technology, Vol. 4, No. 2, 2011 Copyright 2011 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    104 Int. J. Oil, Gas and Coal Technology, Vol. 4, No. 2, 2011 Copyright © 2011 Inderscience, Gas and Coal Technology, Vol. 4, No. 2, pp.104­133. Biographical notes: Amirmasoud Kalantari

  15. 2 Int. J. Oil, Gas and Coal Technology, Vol. 2, No. 1, 2009 Copyright 2009 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    2 Int. J. Oil, Gas and Coal Technology, Vol. 2, No. 1, 2009 Copyright © 2009 Inderscience, Gas, and Coal Technology, Vol. 2, No. 1, pp.2­23. Biographical notes: Shahab D. Mohaghegh is currently

  16. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 8, AUGUST 2003 1027 [20] R.L. Kirby, "A Product Rule Relaxation Method," Technical Report 772,

    E-Print Network [OSTI]

    Peli, Eli

    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 8, AUGUST 2003 1027 [20] R.L. Kirby, "A Product Rule Relaxation Method," Technical Report 772, Univ. Maryland, 1979. [21," Technical Report DLR-FB 91-29, Deutsche Forschungsan- stalt fu¨r Luft- und Raumfahrt, 1991. [24] D.G. Lowe

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

    SciTech Connect (OSTI)

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

    2010-04-30T23:59:59.000Z

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

  18. IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 34, NO. 3, JUNE 2006 755 Nonequilibrium EEDF in Gas Discharge Plasmas

    E-Print Network [OSTI]

    Kaganovich, Igor

    ­ion creation and gas excitation are due to the impact of fast elec- trons in the plasma volume, while electron discharges. This paper is organized as follows. Basic processes in gas dis- charge plasmas when EEDF and thusIEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 34, NO. 3, JUNE 2006 755 Nonequilibrium EEDF in Gas

  19. 2566 IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 36, NO. 5, OCTOBER 2008 Quantitative Analysis of Gas Circuit Breaker

    E-Print Network [OSTI]

    Basse, Nils Plesner

    --Understanding the dynamic processes governing gas circuit breaker physics is crucial in order to continue to improve short, especially those induced at flow reversal where the gas flow between the arc zone and heating volume changes2566 IEEE TRANSACTIONS ON PLASMA SCIENCE, VOL. 36, NO. 5, OCTOBER 2008 Quantitative Analysis of Gas

  20. IEEE TRANSACTION ON CONTROL SYSTEM TECHNOLOGY, VOL. XX, NO. Y, MONTH 2003 1 Control of Natural Gas Catalytic Partial

    E-Print Network [OSTI]

    Peng, Huei

    IEEE TRANSACTION ON CONTROL SYSTEM TECHNOLOGY, VOL. XX, NO. Y, MONTH 2003 1 Control of Natural Gas that reforms natural gas to hydrogen-rich mixture to feed the anode field of fuel cell stack is considered partial oxidation of the methane in the natural gas. We present a model-based control analysis and design

  1. www.myresources.com.au OIL & GAS BULLETIN VOL. 15, NO. 11 PAGE 9 Safety first: Oil rigs off the north west shelf will be studied for

    E-Print Network [OSTI]

    www.myresources.com.au OIL & GAS BULLETIN VOL. 15, NO. 11 PAGE 9 NEWS Safety first: Oil rigs off that as times and trends change, tight gas and shale gas is being more and more considered as a potentially prices rise, and a shift from coal to gas energy sources is experienced, tight gas and shale gas is now

  2. Int. J. Oil, Gas and Coal Technology, Vol. 5, No. 1, 2012 1 Copyright 2012 Inderscience Enterprises Ltd.

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    production from shale formations. Examples of three case studies in Lower Huron and New Albany shale Reservoir Modelling of Oil and Gas Producing Shale Reservoirs; Case Studies, Int. J. Oil, Gas, and Coal Enterprises Ltd. Top-Down, Intelligent Reservoir Modeling of Oil and Gas Producing Shale Reservoirs; Case

  3. IJE Transactions A: Basics Vol. 22, No. 1, February 2009 -89 AN INTELLIGENT SYSTEM'S APPROACH FOR

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    individual wells to create a field-wide analysis. A new technique called Intelligent Production Data Analysis, and by using a unique Fuzzy Pattern Recognition technology the results are mapped on the entire field in order to evaluate reserve estimates, pin-point optimum infill drilling locations, track fluid flow and depletion

  4. Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 933-950, December 2006 Methane Venting in Gas Hydrate Potential Area Offshore of SW

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    933 Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 933-950, December 2006 Methane Venting in Gas Hydrate-mail: tyyang@ntu.edu.tw Water column samples were collected systematically in several poten- tial gas hydrate are considered to have originated from dissociation of gas hydrates and/or a deeper gas reservoir. (Key words

  5. Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 829-843, December 2006 Gas Hydrate Stability Zone in Offshore Southern Taiwan

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    829 Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 829-843, December 2006 Gas Hydrate Stability Zone gas (Kvenvolden 1993), there- fore is a very condensed form of gas. The hydrates and any free gas@earth.sinica.edu.tw Methane hydrates are considered a major potential source of hydro- carbon energy and could be important

  6. Oil & Gas Science and Technology Rev. IFP, Vol. 61 (2006), No. 1, pp. 5772 Copyright 2006, Institut franais du ptrole

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    Oil & Gas Science and Technology ­ Rev. IFP, Vol. 61 (2006), No. 1, pp. 57­72 Copyright © 2006. Dans ce contexte, le mode de combustion Highly Premixed Combustion (HPC) est devenu une source d combustion, l'équilibrage de couple cylindre à cylindre est une nécessité. En effet, un léger déséquilibre

  7. An acoustic energy framework for predicting combustion- driven acoustic instabilities in premixed gas-turbines

    E-Print Network [OSTI]

    Ibrahim, Zuhair M. A.

    2007-01-01T23:59:59.000Z

    of Engineering for Gas Turbines and Power, 2000. Vol. 122:of Engineering for Gas Turbines and Power, 2000. Vol. 122:in Lean Premixed Gas Turbine Combustors," Journal of

  8. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 19, NO. 5, OCTOBER 2003 917 lung collapse and gas insufflation). To determine the effects of lung

    E-Print Network [OSTI]

    Whitcomb, Louis L.

    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 19, NO. 5, OCTOBER 2003 917 lung collapse and gas insufflation). To determine the effects of lung collapse and insufflation, this port site

  9. An artificial intelligence approach to model-based gas lift troubleshooting

    E-Print Network [OSTI]

    Ortiz-Volcan, Jose Luis

    1990-01-01T23:59:59.000Z

    to Dr. A. Khachatryan who spent a great deal of time discussing with me important issues about AI. I also wish to thank to Dr. S. Wong from ARCO Oil and Gas Company, part of the field data as well as multiphase flow calculations from the Prudhoe Bay... Oriente (Venezuela) Chair of Advisory Committee: Dr. R. A. Startzman The ability to identify gas lift equipment problems in a well is particularly important when determining the performance of the well. One of the most common type of malfunctions...

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

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

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

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

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

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

  12. An Intelligent Portfolio Management Approach to Gas Storage Field Deliverability Maintenance and

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    ;Outline Introduction Methodology & Software Results Objective Conclusions #12;Energy consumption by fuel Source: Energy Information Administration (EIA) Introduction #12;Introduction Typical gas storage fields operations in the same way. This is an optimization problem. Gaining the highest return with minimum risk

  13. An acoustic energy framework for predicting combustion- driven acoustic instabilities in premixed gas-turbines

    E-Print Network [OSTI]

    Ibrahim, Zuhair M. A.

    2007-01-01T23:59:59.000Z

    of Engineering for Gas Turbines and Power, 2000. Vol. 122:of Engineering for Gas Turbines and Power, 2000. Vol. 122:of Engineering for Gas Turbines and Power, 2001. Vol. 123:

  14. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 11, NO. 1, MARCH 2010 243 Fig. 7. Cost comparison.

    E-Print Network [OSTI]

    Boyer, Edmond

    state of the art of electric, hybrid, and fuel cell vehicles," Proc. IEEE, vol. 95, no. 4, pp. 704. Darbha, and K. R. Rajagopal, "A diagnostic system for air brakes in commercial vehicles," IEEE Trans fault diagnostic system for automated vehicles operating in a platoon," IEEE Trans. Control Syst

  15. 866 IEEE COMMUNICATIONS LETTERS, VOL. 16, NO. 6, JUNE 2012 ICE: Intelligent Cell BrEathing to

    E-Print Network [OSTI]

    Ansari, Nirwan

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

  16. 478 IEEE Transactionson Energy Conversion,vol.7, No. 3, September1092. THE PENN STATE INTELLIGENT DISTRIBUTED CONTROL RESEARCH LABORATORY

    E-Print Network [OSTI]

    Ray, Asok

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

  17. Oil & Gas Science and Technology Rev. IFP Energies nouvelles, Vol. 67 (2012), No. 4, pp. 601-612 Copyright c 2012, IFP Energies nouvelles

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2012-01-01T23:59:59.000Z

    Oil & Gas Science and Technology ­ Rev. IFP Energies nouvelles, Vol. 67 (2012), No. 4, pp. 601 - Germany 2 IFP Energies nouvelles, 1-4 avenue de Bois-Préau, 92852 Rueil-Malmaison Cedex - France e Consumption Minimization Strategy (ECMS) ­ is introduced. The PMP-based strategies are compared

  18. Oil & Gas Science and Technology Rev. IFP, Vol. 60 (2005), No. 2, pp. 381-399 Copyright 2005, Institut franais du ptrole

    E-Print Network [OSTI]

    Oil & Gas Science and Technology ­ Rev. IFP, Vol. 60 (2005), No. 2, pp. 381-399 Copyright © 2005: Preliminary Results -- When carbon dioxide (CO2) is injected into an aquifer or a depleted geological reservoir, its dissolution into solution results in acidification of the pore waters. As a consequence

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

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

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

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

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

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

  1. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 15, NO. 2, APRIL 2014 901 used in our analysis, and strong assumptions (but standard) have

    E-Print Network [OSTI]

    Granada, Universidad de

    . 802­810, May 2011. [3] A. Harris, "Charge of the electric car," Eng. Technol., vol. 4, no. 10, pp. 52://www.esb.ie/ electric-cars/electric-car-news-and-events/electric-car-press-releases/ ESB-electric-cars. Alexander, L. Tonachel, and C. Clark, "En- vironmental assessment of plug-in hybrid electric vehicles volume

  2. INTELLIGENT ENGINEERING

    E-Print Network [OSTI]

    Wehenkel, Louis

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

  3. Intelligence Research Specialist

    Broader source: Energy.gov [DOE]

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

  4. MathematicalGeology, Vol. 11,No. I,1979 Modeling and Optimizing a Gas-Water Reservoir

    E-Print Network [OSTI]

    Waterman, Michael S.

    Alamos ScientificLaboratory, Los Alamos, New Mexico 87545. Conservation Division, U.S.Geological Survey E. Johnson, EUisA. Monash, and Michael S. Waterman INTRODUCTION Enhanced recovery of oil and gas that production from newly discovered reserves may not yield as much petroleum as was anticipated. In spite

  5. 384 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 19, NO. 2, APRIL 2010 Monolithically Integrated Gas Distribution

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

    and are particularly useful for vehicle power, distributed generation, and portable electronic devices [1]. Fuel cells]. In this context, polymer-electrolyte-membrane (PEM) fuel cells [7] and direct methanol fuel cells [8], [9] have Gas Distribution Chamber for Silicon MEMS Fuel Cells Antonio Luque, Senior Member, IEEE, José M

  6. Intelligence team given national honor

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

    Intelligence team given national honor Intelligence team given national honor A team known as the LANL Field Intelligence Element is being honored with the Department of Energy...

  7. IFP --Oil & Gas Science and Technology --(Script : 1er specimen) --1 --Oil & Gas Science and Technology --rev. IFP, Vol. xx (2009), No X, pp. 00-00

    E-Print Network [OSTI]

    Boyer, Edmond

    2009-01-01T23:59:59.000Z

    IFP -- Oil & Gas Science and Technology -- (Script : 1er specimen) -- 1 -- Oil & Gas Science2010 Author manuscript, published in "Oil & Gas Science and Technology - Rev. IFP, 65, 3 (2010) 435-444" DOI : 10.2516/ogst/2010007 #12;IFP -- Oil & Gas Science and Technology -- (Script : 1er specimen) -- 2

  8. Foundations of Artificial IntelligenceFoundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

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

  9. Social Intelligence: Next Generation Business Intelligence

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2010-09-01T23:59:59.000Z

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

  10. Analysis of NOx Formation in a Hydrogen-Fueled Gas Turbine Engine

    E-Print Network [OSTI]

    Samuelsen, GS; Therkelsen, P; Werts, T; McDonell, V

    2009-01-01T23:59:59.000Z

    Turbine Fuel” J. Engr. Gas Turbines and Power, Vol. 127, pp,Test in a Small Gas Turbine,” International Journal ofof Hydrogen in a Small Gas Turbine Combustor,” International

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  12. LED Market Intelligence Report

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

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

  13. Artificial intelligence and intelligent tutoring systems

    SciTech Connect (OSTI)

    Livergood, N.D.

    1989-01-01T23:59:59.000Z

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

  14. Rural Intelligent Transportation Systems

    E-Print Network [OSTI]

    Minnesota, University of

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

  15. IEEE TRANSACTIONS ON ROBOTICS, VOL. 24, NO. 1, FEBRUARY 2008 159 A Gas-Actuated Anthropomorphic Prosthesis

    E-Print Network [OSTI]

    Prosthesis for Transhumeral Amputees Kevin B. Fite, Member, IEEE, Thomas J. Withrow, Member, IEEE, Xiangrong--This paper presents the design of a gas-actuated an- thropomorphic arm prosthesis with 21 degrees of freedom and nine independent actuators. The prosthesis utilizes the monopropellant hydrogen peroxide as a gas

  16. J. Phys. D: Appl. Phys., Vol. 7, 1974. Printed in Great Britain. 01974 Electron multiplicationin a gas discharge

    E-Print Network [OSTI]

    Friedland, Lazar

    with large space gradients. More recently, experimental data (Haydon and Stock 1966, Folkard and Haydon 1971 the pressure of the gas and xoa distance introduced to take into account the non-equilibrium effects at small

  17. Applied Virtual Intelligence in Oil & Gas Industry;

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  18. Integrating Gas Turbines with Cracking Heaters - Impact on Emissions and Energy Efficiency

    E-Print Network [OSTI]

    Platvoet, E.

    2011-01-01T23:59:59.000Z

    Turbine Exhaust Gas (TEG) contains high levels of oxygen, typically 15 vol. percent, due to gas turbine blade material temperature limits. As such it can be used as an oxidant for combustion in cracking furnaces and reformers. Its high temperature...

  19. Intelligent Potroom Operation

    SciTech Connect (OSTI)

    Jan Berkow; Larry Banta

    2003-07-29T23:59:59.000Z

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

  20. 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

  1. Fourth Intelligent Sootblowing Workshop Proceedings

    SciTech Connect (OSTI)

    None

    2002-03-01T23:59:59.000Z

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

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

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

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

  3. Advances in intelligent sootblowing

    SciTech Connect (OSTI)

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

    2005-10-01T23:59:59.000Z

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

  4. IMSC Spring Retreat Activity Based Intelligence

    E-Print Network [OSTI]

    Shahabi, Cyrus

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

  5. Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 739-756, December 2006 Velocity Structure in Marine Sediments with Gas Hydrate Reflectors

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    Sediments with Gas Hydrate Reflectors in Offshore SW Taiwan, from OBS Data Tomography Win-Bin Cheng 1 be considered a result of local shallowing of the base of the gas hydrate stability zone, caused by ascending structure was ob- served and could be associated with the phenomenon of hydrate/gas phase boundary

  6. Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 615-644, December 2006 Distribution and Characters of Gas Hydrate Offshore of

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    of Gas Hydrate Offshore of Southwestern Taiwan Char-Shine Liu 1, *, Philippe Schnürle 1 , Yunshuen Wang 2 reflector (BSR) is a key indicator for the presence of gas hydrate beneath the sea floor. Widely distributed% of the seismic profiles that we collected. A newly compiled BSR distri- bution map suggests that gas hydrates

  7. Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 645-658, December 2006 The Geological Structure and Prospect of Gas Hydrate

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    and Prospect of Gas Hydrate over the Dongsha Slope, South China Sea Pin Yan 1, 2, *, Hui Deng 1 , and Hailing of Marginal Sea Geology, Chinese Academy of Sciences, Guangzhou, China 2 Guangzhou Center for Gas Hydrate for the occurrence of gas hydrate related features, like BSR, cold seep carbonates and chemoautotrophic bacteria

  8. Terr. Atmos. Ocean. Sci., Vol. 17, No. 4, 781-797, December 2006 Seismic Data Processing and the Characterization of a Gas Hydrate

    E-Print Network [OSTI]

    Lin, Andrew Tien-Shun

    and the Characterization of a Gas Hydrate Bearing Zone Offshore of Southwestern Taiwan Hui Deng 1, 2, 4, 5, *, Pin Yan 1, 3, Guangzhou, China 3 Guangzhou Center for Gas Hydrate Research, Chinese Academy of Sciences, Guangzhou, China, Guangzhou, China; E-mail: nhsdenghui@163.com Various seismic attributes of gas hydrate bearing sediments

  9. Emotional Intelligence: a Component of Personality or Intelligence

    E-Print Network [OSTI]

    Peek, Bertie

    2008-06-24T23:59:59.000Z

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

  10. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J. (Idaho Falls, ID)

    2009-11-17T23:59:59.000Z

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

  11. Symbolic diagnosis for intelligent control

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24T23:59:59.000Z

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

  12. Challenges in Intelligent Transportation Systems

    E-Print Network [OSTI]

    Gesbert, David

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

  13. Journal of Oceanography, Vol. 62, pp. 717 to 729, 2006 North Sea,

    E-Print Network [OSTI]

    in the world. The sea is also rich in oil and gas. These facts result in intense pres- sure on the marine717 Journal of Oceanography, Vol. 62, pp. 717 to 729, 2006 Keywords: North Sea, phytoplankton

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

    Office of Environmental Management (EM)

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

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

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

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

  16. 1162 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 25, NO. 2, APRIL 2010 Nontechnical Loss Detection for Metered Customers

    E-Print Network [OSTI]

    Ducatelle, Frederick

    towards nontechnical loss (NTL) detection in power utilities using an artifi- cial intelligence based by electric utility companies to assess the impact of technical losses in generation, transmissi1162 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 25, NO. 2, APRIL 2010 Nontechnical Loss Detection

  17. 228 IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 16, NO. 3, JUNE 2000 Design Lessons for Building Agile

    E-Print Network [OSTI]

    Merat, Francis L.

    in a collaboration between industry and academia with a common goal of achieving rapid implementation of automation for Automation and Intelligent Systems Research, the Case School of Engineering, and their industrial sponsors228 IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 16, NO. 3, JUNE 2000 Design Lessons

  18. Artificial Intelligence Problem Solving and Search

    E-Print Network [OSTI]

    Srinivasan, Padmini

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

  19. Artificial Intelligence Problem Solving and Search

    E-Print Network [OSTI]

    Srinivasan, Padmini

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

  20. MAS.963 Ambient Intelligence, Spring 2004

    E-Print Network [OSTI]

    Maes, Patricia

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

  1. Intelligent wind power prediction systems final report

    E-Print Network [OSTI]

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

  2. An Intelligent Multi Agent System for Integrated Control & Asset Management of Petroleum Production Facilities

    E-Print Network [OSTI]

    Taylor, James H.

    An Intelligent Multi Agent System for Integrated Control & Asset Management of Petroleum Production control and asset management for the petroleum industry is crucial for profitable oil and gas facilities equipment, enhance safety, and improve product quality. Many research studies proposed different

  3. 1.5 References Batzle, M. and Wang, Z., 1992, Seismic properties of pore fluids: Geophysics, Vol.

    E-Print Network [OSTI]

    relations for natural-gas-water mixtures: in Drilling and Production Practices, 1944, American Petroleum, Relative sound velocities of sea salts at 25 oC: Journal of Acoustical Society of America, Vol. 61, p. 1492

  4. 1300 Federal Register / Vol. 67, No. 7 / Thursday, January 10, 2002 / Rules and Regulations determining sulfur content in fuel for

    E-Print Network [OSTI]

    1300 Federal Register / Vol. 67, No. 7 / Thursday, January 10, 2002 / Rules and Regulations sampling and analysis for sulfur content under subpart GG for stationary gas turbines that combust pipeline; Atlantic Large Whale Take Reduction Plan Regulation

  5. ARTIFICIAL INTELLIGENCE A Qualitative Physics

    E-Print Network [OSTI]

    de Kleer, Johan

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

  6. MIL Covers the Spectrum Intelligence

    E-Print Network [OSTI]

    Schwartz, Eric M.

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

  7. Toward Machines with Emotional Intelligence

    E-Print Network [OSTI]

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

  8. Proceedings of Institute of Mathematics of NAS of Ukraine 2002, Vol. 43, Part 1, 339343 High-Frequency Absorption by a Soliton Gas

    E-Print Network [OSTI]

    Popovych, Roman

    -Frequency Absorption by a Soliton Gas in One-Dimensional Magnet Galyna OKSYUK Institute for Low Temperature Physics & Engineering, 47 Lenin Ave., Kharkov 61103, Ukraine E-mail: oksyuk@ilt.kharkov.ua The additional mechanism for some values of the external magnetic field. The quantity of the effect is detectable. 1 Introduction We

  9. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 5, NO. 3, JUNE 2012 699 Detection of Leaking CO Gas With Vegetation

    E-Print Network [OSTI]

    Lawrence, Rick L.

    emissions, carbon capture and sequestration (CCS) is proposed as a means of collecting CO gas generated improved land use and management practices [2], and geological carbon sequestration, which is the technique. Proposed methods of sequestration include direct deep-sea in- jection [1], soil sequestration through

  10. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 35, NO. 1, JANUARY 2005 121 Control and Learning of Ambience by

    E-Print Network [OSTI]

    Rutishauser, Ueli

    IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS--PART A: SYSTEMS AND HUMANS, VOL. 35, NO. 1, JANUARY 2005 121 Control and Learning of Ambience by an Intelligent Building Ueli Rutishauser, Student Member, IEEE, Josef Joller, Member, IEEE, and Rodney Douglas Abstract--Modern approaches

  11. Rheology of Colloidal Gas Aphrons (Microfoams)

    E-Print Network [OSTI]

    Larmignat, Sophie; Vanderpool, Damien; Lai, Heung; Pilon, Laurent

    2008-01-01T23:59:59.000Z

    American Institute of Chemical Engineering Journal, vol. 46,dispersions , Chemical Engineering Research and Design, Vol.in vertical pipes , Chemical Engineering Science, Vol. 55,

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

    E-Print Network [OSTI]

    Laurini, Robert

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

  13. Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy

    E-Print Network [OSTI]

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

  14. Context-Enabled Business Intelligence

    SciTech Connect (OSTI)

    Troy Hiltbrand

    2012-04-01T23:59:59.000Z

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

  15. Geospatial Intelligence at the Environmental Protection Agency

    E-Print Network [OSTI]

    McLaughlin, Casey

    2013-01-24T23:59:59.000Z

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

  16. 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

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

    E-Print Network [OSTI]

    Qu, Rong

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  20. Management and Control of Foreign Intelligence

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

    1992-01-15T23:59:59.000Z

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

  1. 6.034 Artificial Intelligence, Spring 2003

    E-Print Network [OSTI]

    Lozano-Perez, Tomas

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

  2. 6.034 Artificial Intelligence, Fall 2002

    E-Print Network [OSTI]

    Winston, Patrick Henry

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  14. ORGANIC MASS SPECTROMETRY, VOL. 21, 193-195 (1986) Energy Deposition in [Fe(CO),] ''Upon

    E-Print Network [OSTI]

    Wysocki, Vicki H.

    ORGANIC MASS SPECTROMETRY, VOL. 21, 193-195 (1986) Energy Deposition in [Fe(CO),] ''Upon Collision distributions associated with gas-phase collisional activation using both low and high ion kinetic energies, and the high internal energies accessible, make the ionlsurface collision process superior to gas

  15. WELDING RESEARCH FEBRUARY 2008, VOL. 87-s44

    E-Print Network [OSTI]

    Zhang, YuMing

    WELDING RESEARCH FEBRUARY 2008, VOL. 87-s44 ABSTRACT. Consumable double- electrode gas metal arc welding (DE- GMAW) is an innovative welding process that can significantly increase the deposi- tion rate arc welding(GMAW)gunandconstantcurrent (CC) power supply to a conventional GMAW setup -- Fig. 1

  16. letters to nature 70 NATURE |VOL 390 |6 NOVEMBER 1997

    E-Print Network [OSTI]

    Laurent, Gilles

    letters to nature 70 NATURE |VOL 390 |6 NOVEMBER 1997 Received 11 June; accepted 11 August 1997. 1 and energy cost of flight in the white-necked raven, Corvus cryptoleucus. J. Exp. Biol. 103, 121­130 (1983, W. & Nachtigall, W. Pigeon flight in a wind tunnel. II. Gas exchange and power requirements. J. Comp

  17. This journal is The Royal Society of Chemistry [year] [journal], [year], [vol], 0000 | 1 Droplet mobility on lubricant-impregnated surfaces

    E-Print Network [OSTI]

    , the surrounding gas, and the liquid that needs to be shed ­ referred hereafter for simplicity as oil, airThis journal is © The Royal Society of Chemistry [year] [journal], [year], [vol], 00­00 | 1 Droplet

  18. Intelligibility enhancement of synthetic speech in noise

    E-Print Network [OSTI]

    Edinburgh, University of

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

  19. 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

  20. GAS PIPELINE PIGABILITY

    SciTech Connect (OSTI)

    Ted Clark; Bruce Nestleroth

    2004-04-01T23:59:59.000Z

    In-line inspection equipment is commonly used to examine a large portion of the long distance transmission pipeline system that transports natural gas from well gathering points to local distribution companies. A piece of equipment that is inserted into a pipeline and driven by product flow is called a ''pig''. Using this term as a base, a set of terms has evolved. Pigs that are equipped with sensors and data recording devices are called ''intelligent pigs''. Pipelines that cannot be inspected using intelligent pigs are deemed ''unpigable''. But many factors affect the passage of a pig through a pipeline, or the ''pigability''. The pigability pipeline extend well beyond the basic need for a long round hole with a means to enter and exit. An accurate assessment of pigability includes consideration of pipeline length, attributes, pressure, flow rate, deformation, cleanliness, and other factors as well as the availability of inspection technology. All factors must be considered when assessing the appropriateness of ILI to assess specific pipeline threats.

  1. Symbolic diagnosis for intelligent control 

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24T23:59:59.000Z

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

  2. Flood, R.D., Piper, D.J.W., Klaus, A., and Peterson, L.C. (Eds.), 1997 Proceedings of the Ocean Drilling Program, Scientific Results, Vol. 155

    E-Print Network [OSTI]

    the anomalous pore-water chemistry. The fluidization was thus caused by the dissociation of gas hydrate. The quantitative CT value analysis allows us to estimate that the percentage of gas hydrate content reaches ~10 vol contents of the gas hydrate above bottom-simulating reflectors (BSRs) reported from other hydrate regions

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01T23:59:59.000Z

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

  4. Intelligent Efficiency: the Next Generation of Energy Efficiency 

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

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

  5. Intelligent Efficiency: the Next Generation of Energy Efficiency

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

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

  6. JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 21, NO. 2, APRIL 2012 359 Sidewall Adhesion and Sliding Contact Behavior

    E-Print Network [OSTI]

    Ritchie, Robert

    912 JOURNAL OF MICROELECTROMECHANICAL SYSTEMS, VOL. 13, NO. 6, DECEMBER 2004 Development of a Rapid Abstract--A method for providing high-resolution gas flow control using microelectromechanical systems the performance of microelectromechanical systems (MEMS) microvalve arrays ( valves) used as gas flow control

  7. Progressing for Intelligent to Smart Buildings

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

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

  8. Intelligibility enhancement of synthetic speech in noise 

    E-Print Network [OSTI]

    Valentini Botinha?o, Ca?ssia

    2013-11-28T23:59:59.000Z

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

  9. Foundations of Artificial Intelligence Neural Networks

    E-Print Network [OSTI]

    Qu, Rong

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

  10. Intelligent Transportation Systems Deployment Statistics Database

    E-Print Network [OSTI]

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

  11. Artificial Intelligence for the Smart Grid

    E-Print Network [OSTI]

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

  12. Content Analysis for Proactive Protective Intelligence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.

    2010-12-15T23:59:59.000Z

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

  13. Intelligent interface for design and simulation

    SciTech Connect (OSTI)

    Draisin, W.; Peter, E.

    1986-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  17. Published in `AI Communications 9 journal', pp1-17. Published by IOS Press (1996) TIGERTM: Knowledge Based Gas Turbine Condition Monitoring

    E-Print Network [OSTI]

    Travé-Massuyès, Louise

    : Knowledge Based Gas Turbine Condition Monitoring Dr. Robert Milne and Dr. Charlie Nicol Intelligent, 11 Colon, Barcelona, 08222 Terrassa. Spain 1. INTRODUCTION Given the critical nature of gas turbines and increasing the availability of the gas turbine. Routine preventative maintenance techniques have been used

  18. Instrumentation, Control, and Intelligent Systems

    SciTech Connect (OSTI)

    Not Available

    2005-09-01T23:59:59.000Z

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

  19. Studies in Computational Intelligence GrasSuzukiGuillet

    E-Print Network [OSTI]

    Spagnolo, Filippo

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

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

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Pullokkaran, Laijo John

    2013-01-01T23:59:59.000Z

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

  4. An Intelligent Threat Prevention Framework with Heterogeneous Information

    E-Print Network [OSTI]

    Liu, Weiru

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  6. A Data and Knowledge Management System for Intelligent Buildings 

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  7. An Information Visualization Approach to Intelligent Building Assessment 

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  8. An Information Visualization Approach to Intelligent Building Assessment

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  9. Intelligence-policy relations and the problem of politicization

    E-Print Network [OSTI]

    Rovner, Joshua Randall

    2008-01-01T23:59:59.000Z

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

  10. On modeling and controlling intelligent systems

    SciTech Connect (OSTI)

    Dress, W.B.

    1993-11-01T23:59:59.000Z

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

  11. 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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  13. Intelligent PID Controllers Michel Fliess and Cedric Join

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  14. Artificial Intelligence Techniques for Steam Generator Modelling

    E-Print Network [OSTI]

    Wright, Sarah

    2008-01-01T23:59:59.000Z

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

  15. JOURNAL DE PHYSIQUE IV C2-449 Colloque C2, suppl. au Journal de Physique 11, Vol. 1, septembre 1991

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    processors that handle reactive gas: - Require changes of oil and filters one to four times per month or moreJOURNAL DE PHYSIQUE IV C2-449 Colloque C2, suppl. au Journal de Physique 11, Vol. 1, septembre 1991 has created new requirements for gas scrubbing to address the safety, maintenance cost, and toxic

  16. VIRGINIA CENTER FOR COAL & ENERGY RESEARCH WINTER 1998-99 / VOL. XVIII, NO. 1 Global Warming

    E-Print Network [OSTI]

    VIRGINIA CENTER FOR COAL & ENERGY RESEARCH WINTER 1998-99 / VOL. XVIII, NO. 1 Global Warming Our the opinion. Can the VCCER with its mandated interests in coal and energy be any different? Well, we do try QUARTERLY COAL PRODUCTION STATISTICS 5 GAS PRODUCTION STATISTICS 6 1840 1860 1880 1900 1920 1940 1960 1980

  17. NATURE PHYSICS | VOL 8 | JANUARY 2012 | www.nature.com/naturephysics 3 It's a (stylized) fact!

    E-Print Network [OSTI]

    Loss, Daniel

    to the Maxwellian distribution of velocities in a gas -- a general law holding for all markets, although we donNATURE PHYSICS | VOL 8 | JANUARY 2012 | www.nature.com/naturephysics 3 thesis It's a (stylized of methods of physics to problems in economics and finance -- where this peculiar label does, in effect, mean

  18. 140/Journal of Essential Oil Research Vol. 22, March/April 2010 Menut et al.

    E-Print Network [OSTI]

    140/Journal of Essential Oil Research Vol. 22, March/April 2010 Menut et al. lene (10.B. Verlag, Hamburg, Germany (1998). 13. R.P. Adams, Identification of Essential Oil Components by Gas.1­14.2%). The leaf oils, which were characterized by a high content of a-copaene (14.2% against 1.0% and 0

  19. Published in Journal de Physique IV, vol 11, pp. Pr3-101 ---Pr3-108 Kinetic modelling of gas-phase decomposition of propane : correlation with pyrocarbon deposition

    E-Print Network [OSTI]

    Boyer, Edmond

    -phase decomposition of propane : correlation with pyrocarbon deposition Cédric Descamps, Gerard L. Vignoles , Olivier : A chemical kinetic model for gas-phase pyrolysis of propane has been set up, partially reduced, and validated the notion of "maturation" from propane to lighter hydrocarbons, then to aromatic compounds and PAHs. The gas

  20. ARTIFICIAL INTELLIGENCE ] Learning One Subprocedure per Lesson

    E-Print Network [OSTI]

    VanLehn, Kurt

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

  1. Text Classification for Intelligent Portfolio Management

    E-Print Network [OSTI]

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

  2. Managing renewable resources via Collective Intelligence

    E-Print Network [OSTI]

    Boschetti, Fabio

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

  3. Business Intelligence at the University of Minnesota

    E-Print Network [OSTI]

    Thomas, David D.

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

  4. The Teleface project -disability, feasibility and intelligibility

    E-Print Network [OSTI]

    Beskow, Jonas

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

  5. Intelligent Systems Software for Unmanned Air Vehicles

    E-Print Network [OSTI]

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

  6. Intelligent Planning for Autonomous Underwater Vehicles

    E-Print Network [OSTI]

    Yao, Xin

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

  7. Applied Data Mining for Business Intelligence

    E-Print Network [OSTI]

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

  8. Hindawi Publishing Corporation Advances in Artificial Intelligence

    E-Print Network [OSTI]

    Hexmoor, Henry

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

  9. Intelligent energy aware networks Y. Audzevich1

    E-Print Network [OSTI]

    Haddadi, Hamed

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

  10. Intelligent Data Analysis in Medicine and Pharmacology

    E-Print Network [OSTI]

    Mladenic, Dunja

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

  11. Recognizing Entailment in Intelligent Tutoring Systems

    E-Print Network [OSTI]

    Palmer, Martha

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

  12. Developing Geospatial Intelligence Stewardship for Multinational Operations

    E-Print Network [OSTI]

    Thomas, Jeff

    2009-11-18T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Goshorn, Deborah Ellen

    2010-01-01T23:59:59.000Z

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

  14. Neural Network Based Intelligent Sootblowing System

    SciTech Connect (OSTI)

    Mark Rhode

    2005-04-01T23:59:59.000Z

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

  15. Smart Grid Impact on Intelligent Buildings

    E-Print Network [OSTI]

    Zimmer, R. J.

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

  18. Generalized Intelligent States for Nonlinear Oscillators

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13T23:59:59.000Z

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

  19. Effects of Propane/Natural Gas Blended Fuels on Gas Turbine Pollutant Emissions

    SciTech Connect (OSTI)

    Straub, D.L.; Ferguson, D.H.; Casleton, K.H.; Richards, G.A.

    2007-03-01T23:59:59.000Z

    Liquefied natural gas (LNG) imports to the U.S. are expected to grow significantly over the next 10-15 years. Likewise, it is expected that changes to the domestic gas supply may also introduce changes in natural gas composition. As a result of these anticipated changes, the composition of fuel sources may vary significantly from conventional domestic natural gas supplies. This paper will examine the effects of fuel variability on pollutant emissions for premixed gas turbine conditions. The experimental data presented in this paper have been collected from a pressurized single injector combustion test rig at the National Energy Technology Laboratory (NETL). The tests are conducted at 7.5 atm with a 588 K air preheat. A propane blending facility is used to vary the Wobbe Index of the site natural gas. The results indicate that propane addition of about five (vol.) percent does not lead to a significant change in the observed NOx or CO emissions. These results are different from data collected on some engine applications and potential reasons for these differences will be described.

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

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

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

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

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

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

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

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

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

  3. Integrated intelligent systems in advanced reactor control rooms

    SciTech Connect (OSTI)

    Beckmeyer, R.R.

    1989-01-01T23:59:59.000Z

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

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

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

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

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

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

    1993-07-23T23:59:59.000Z

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  11. International Journal of Advanced Robotic Systems, Vol. 7, No. 1 (2010) ISSN 1729-8806, pp. 075-084

    E-Print Network [OSTI]

    Boyer, Edmond

    2010-01-01T23:59:59.000Z

    ., 1998). More recently, as the oil and gas production move to greater depth, the appeal to advancedInternational Journal of Advanced Robotic Systems, Vol. 7, No. 1 (2010) ISSN 1729-8806, pp. 075 witnessed a remarkable growth in the wide range of underwater activities. The commercial offshore oil

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

    E-Print Network [OSTI]

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

  13. Gas sensor

    DOE Patents [OSTI]

    Schmid, Andreas K.; Mascaraque, Arantzazu; Santos, Benito; de la Figuera, Juan

    2014-09-09T23:59:59.000Z

    A gas sensor is described which incorporates a sensor stack comprising a first film layer of a ferromagnetic material, a spacer layer, and a second film layer of the ferromagnetic material. The first film layer is fabricated so that it exhibits a dependence of its magnetic anisotropy direction on the presence of a gas, That is, the orientation of the easy axis of magnetization will flip from out-of-plane to in-plane when the gas to be detected is present in sufficient concentration. By monitoring the change in resistance of the sensor stack when the orientation of the first layer's magnetization changes, and correlating that change with temperature one can determine both the identity and relative concentration of the detected gas. In one embodiment the stack sensor comprises a top ferromagnetic layer two mono layers thick of cobalt deposited upon a spacer layer of ruthenium, which in turn has a second layer of cobalt disposed on its other side, this second cobalt layer in contact with a programmable heater chip.

  14. NATURAL GAS MARKET ASSESSMENT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION NATURAL GAS MARKET ASSESSMENT PRELIMINARY RESULTS In Support.................................................................................... 6 Chapter 2: Natural Gas Demand.................................................................................................. 10 Chapter 3: Natural Gas Supply

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

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

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

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

    E-Print Network [OSTI]

    Sutton, Richard S.

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

  17. Enterprise Modeling for Business Intelligence Daniele Barone1

    E-Print Network [OSTI]

    Toronto, University of

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

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

    E-Print Network [OSTI]

    Tan, Ah-Hwee

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

  19. Managing a Relational Database with Intelligent Agents Ira Rudowsky1

    E-Print Network [OSTI]

    Rudowsky, Ira

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

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

    E-Print Network [OSTI]

    Amigoni, Francesco

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

  1. Intelligent Predictive Control Methods for Synchronous Power System

    E-Print Network [OSTI]

    Rizvi, Syed Z.

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

  2. 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

  3. Grid Load Balancing Using Intelligent Agents Junwei Cao1

    E-Print Network [OSTI]

    Jarvis, Stephen

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

  4. Georgia Tech Dangerous Gas

    E-Print Network [OSTI]

    Sherrill, David

    1 Georgia Tech Dangerous Gas Safety Program March 2011 #12;Georgia Tech Dangerous Gas Safety.......................................................................................................... 5 6. DANGEROUS GAS USAGE REQUIREMENTS................................................. 7 6.1. RESTRICTED PURCHASE/ACQUISITION RULES: ................................................ 7 7. FLAMMABLE GAS

  5. Intelligent Grid Technologies - Energy Innovation Portal

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

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

  6. Intelligent Rail Networks | GE Global Research

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

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

  7. Intelligent Wind Turbine Program - Energy Innovation Portal

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

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    198 LE BULLETIN DE L'EPI N° 49 INTELLIGENCE ARTIFICIELLE EN LOGO Un programme d'intelligence artificielle en LOGO LE PROBLÈME DES HUIT REINES Michel DUPONT 1. PRÉSENTATION Certains avantages du LOGO sont. Il est même ainsi possible de créer des sur-langages adaptés à des domaines particuliers. Mais LOGO

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Pouchard, Line

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

  11. Intelligent Component Monitoring for Nuclear Power Plants

    SciTech Connect (OSTI)

    Lefteri Tsoukalas

    2010-07-30T23:59:59.000Z

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

  12. Decision-Making to Reduce Manufacturing Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Reich-Weiser, Corinne

    2010-01-01T23:59:59.000Z

    Research Institute of SME, vol. 35, pp. 193–200, 2007. [80]Research Insti- tute of SME, Monterrey, Mexico, vol. 35,Research Institute of SME, vol. 34, pp. 381–388, 2006. [6

  13. Fuel gas conditioning process

    DOE Patents [OSTI]

    Lokhandwala, Kaaeid A. (Union City, CA)

    2000-01-01T23:59:59.000Z

    A process for conditioning natural gas containing C.sub.3+ hydrocarbons and/or acid gas, so that it can be used as combustion fuel to run gas-powered equipment, including compressors, in the gas field or the gas processing plant. Compared with prior art processes, the invention creates lesser quantities of low-pressure gas per unit volume of fuel gas produced. Optionally, the process can also produce an NGL product.

  14. Intelligent Software Agents: Sensor Integration and Response

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

    Abstract In a post Macondo world the buzzwords are Integrity Management and Incident Response Management. The twin processes are not new but the opportunity to link the two is novel. Intelligent software agents can be used with sensor networks in distributed and centralized computing systems to enhance real-time monitoring of system integrity as well as manage the follow-on incident response to changing, and potentially hazardous, environmental conditions. The software components are embedded at the sensor network nodes in surveillance systems used for monitoring unusual events. When an event occurs, the software agents establish a new concept of operation at the sensing node, post the event status to a blackboard for software agents at other nodes to see , and then react quickly and efficiently to monitor the scale of the event. The technology addresses a current challenge in sensor networks that prevents a rapid and efficient response when a sensor measurement indicates that an event has occurred. By using intelligent software agents - which can be stationary or mobile, interact socially, and adapt to changing situations - the technology offers features that are particularly important when systems need to adapt to active circumstances. For example, when a release is detected, the local software agent collaborates with other agents at the node to exercise the appropriate operation, such as: targeted detection, increased detection frequency, decreased detection frequency for other non-alarming sensors, and determination of environmental conditions so that adjacent nodes can be informed that an event is occurring and when it will arrive. The software agents at the nodes can also post the data in a targeted manner, so that agents at other nodes and the command center can exercise appropriate operations to recalibrate the overall sensor network and associated intelligence systems. The paper describes the concepts and provides examples of real-world implementations including the Threat Detection and Analysis System (TDAS) at the International Port of Memphis and the Biological Warning and Incident Characterization System (BWIC) Environmental Monitoring (EM) Component. Technologies developed for these 24/7 operational systems have applications for improved real-time system integrity awareness as well as provide incident response (as needed) for production and field applications.

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

  16. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90ALSNews Vol.

  17. ALSNews Vol. 355

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol. 35345 ALSNews Vol.

  18. ALSNews Vol. 355

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol. 35345ALSNews Vol.

  19. ALSNews Vol. 356

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol. 35345ALSNews Vol.6

  20. ALSNews Vol. 356

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol.ALSNews Vol. 356

  1. ALSNews Vol. 356

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol.ALSNews Vol.

  2. ALSNews Vol. 357

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol.ALSNews Vol.7 Print

  3. ALSNews Vol. 357

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol.ALSNews Vol.7

  4. ALSNews Vol. 357

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7ALSNews Vol.ALSNews Vol.77

  5. ALSNews Vol. 365

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20ALSNews Vol. 364 Print5ALSNews Vol.

  6. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

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

    2005-08-01T23:59:59.000Z

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

  7. Artificial Intelligence and The Many Faces of Reason 

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01T23:59:59.000Z

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

  8. A Rob otLaboratoryforTeachingArtiflcialIntelligence / Deepak Kumar

    E-Print Network [OSTI]

    Kumar, Deepak

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

  9. Center for Intelligent Systems Research GW Transportation Research Institute

    E-Print Network [OSTI]

    Vertes, Akos

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

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

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

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

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

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2004-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Reddy, Raj

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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

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

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

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

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

    E-Print Network [OSTI]

    Schweizer, Paul

    2010-01-01T23:59:59.000Z

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

  17. artificial intelligence: Topics by E-print Network

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Singhose, William

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

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

    E-Print Network [OSTI]

    Rhodes, Dana Lanay

    2009-05-15T23:59:59.000Z

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

  12. Cloud Computing for Service Intelligence | GE Global Research

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

    Cloud Computing for Service Intelligence Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to...

  13. Intelligent energy management agent for a parallel hybrid vehicle 

    E-Print Network [OSTI]

    Won, Jong-Seob

    2004-09-30T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Ho, Angela Wei Ling

    2006-01-01T23:59:59.000Z

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

  15. A Review of Quantitative Approaches to Intelligent Building Assessment

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  16. 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

  17. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16T23:59:59.000Z

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

  18. The international status of intelligence-collecting reconnaissance satellites

    E-Print Network [OSTI]

    Gates, Brent Allen

    1972-01-01T23:59:59.000Z

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

  19. An intelligent filter for an educational virtual laboratory

    E-Print Network [OSTI]

    Sanchez, Sandra Patricia

    2001-01-01T23:59:59.000Z

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

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

    DOE Patents [OSTI]

    Goldsmith, Steven Y.

    2004-06-22T23:59:59.000Z

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

  1. Document, Federal Register / Vol. 69, No. 17 / Tuesday, January...

    Energy Savers [EERE]

    7 Tuesday, January 27, 2004 Notices Document, Federal Register Vol. 69, No. 17 Tuesday, January 27, 2004 Notices Extracted Pages, PAntcJan27.pdf Federal Register Vol....

  2. Building America Best Practices, Vol. 12 - Builders Challenge...

    Energy Savers [EERE]

    Practices, Vol. 12 - Builders Challenge Guide to 40% Whole-House Energy Savings in the Cold and Very Cold Climates Building America Best Practices, Vol. 12 - Builders Challenge...

  3. Gas Storage Act (Illinois)

    Broader source: Energy.gov [DOE]

    Any corporation which is engaged in or desires to engage in, the distribution, transportation or storage of natural gas or manufactured gas, which gas, in whole or in part, is intended for ultimate...

  4. Gas Companies Program (Tennessee)

    Broader source: Energy.gov [DOE]

    The Gas Companies program is a set of rules that encourage the development of the natural gas industry in Tennessee. They empower gas companies to lay piped and extend conductors through the...

  5. Gas Utilities (Maine)

    Broader source: Energy.gov [DOE]

    Rules regarding the production, sale, and transfer of manufactured gas will also apply to natural gas. This section regulates natural gas utilities that serve ten or more customers, more than one...

  6. Gas Utilities (New York)

    Broader source: Energy.gov [DOE]

    This chapter regulates natural gas utilities in the State of New York, and describes standards and procedures for gas meters and accessories, gas quality, line and main extensions, transmission and...

  7. Future of Natural Gas

    Office of Environmental Management (EM)

    of Natural Gas Bill Eisele, CEM SC Electric & Gas Co Hosted by: FEDERAL UTILITY PARTNERSHIP WORKING GROUP SEMINAR November 5-6, 2014 Cape Canaveral. Florida Agenda * Gas Facts *...

  8. Industrial Gas Turbines

    Broader source: Energy.gov [DOE]

    A gas turbine is a heat engine that uses high-temperature, high-pressure gas as the working fluid. Part of the heat supplied by the gas is converted directly into mechanical work. High-temperature,...

  9. Supervisory Natural Gas Analyst

    Broader source: Energy.gov [DOE]

    The Department of Energys Office of Fossil Energy, Office of Oil and Natural Gas, Office of Oil and Gas Global Security and Supply (FE) is responsible for regulating natural gas imports and exports...

  10. Natural Gas Monthly Update

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

    other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue...

  11. Gas Production Tax (Texas)

    Broader source: Energy.gov [DOE]

    A tax of 7.5 percent of the market value of natural gas produced in the state of Texas is imposed on every producer of gas.

  12. Historical Natural Gas Annual

    U.S. Energy Information Administration (EIA) Indexed Site

    8 The Historical Natural Gas Annual contains historical information on supply and disposition of natural gas at the national, regional, and State level as well as prices at...

  13. Natural gas dehydration apparatus

    DOE Patents [OSTI]

    Wijmans, Johannes G; Ng, Alvin; Mairal, Anurag P

    2006-11-07T23:59:59.000Z

    A process and corresponding apparatus for dehydrating gas, especially natural gas. The process includes an absorption step and a membrane pervaporation step to regenerate the liquid sorbent.

  14. Historical Natural Gas Annual

    U.S. Energy Information Administration (EIA) Indexed Site

    6 The Historical Natural Gas Annual contains historical information on supply and disposition of natural gas at the national, regional, and State level as well as prices at...

  15. Historical Natural Gas Annual

    U.S. Energy Information Administration (EIA) Indexed Site

    7 The Historical Natural Gas Annual contains historical information on supply and disposition of natural gas at the national, regional, and State level as well as prices at...

  16. Transportation and Greenhouse Gas Mitigation

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01T23:59:59.000Z

    fuels (eg diesel, compressed natural gas). Electricity (infossil fuels, such as compressed natural gas and liquefied

  17. Compressed gas manifold

    DOE Patents [OSTI]

    Hildebrand, Richard J. (Edgemere, MD); Wozniak, John J. (Columbia, MD)

    2001-01-01T23:59:59.000Z

    A compressed gas storage cell interconnecting manifold including a thermally activated pressure relief device, a manual safety shut-off valve, and a port for connecting the compressed gas storage cells to a motor vehicle power source and to a refueling adapter. The manifold is mechanically and pneumatically connected to a compressed gas storage cell by a bolt including a gas passage therein.

  18. Noble gas magnetic resonator

    DOE Patents [OSTI]

    Walker, Thad Gilbert; Lancor, Brian Robert; Wyllie, Robert

    2014-04-15T23:59:59.000Z

    Precise measurements of a precessional rate of noble gas in a magnetic field is obtained by constraining the time averaged direction of the spins of a stimulating alkali gas to lie in a plane transverse to the magnetic field. In this way, the magnetic field of the alkali gas does not provide a net contribution to the precessional rate of the noble gas.

  19. OIL & GAS INSTITUTE Introduction

    E-Print Network [OSTI]

    Mottram, Nigel

    OIL & GAS INSTITUTE CONTENTS Introduction Asset Integrity Underpinning Capabilities 2 4 4 6 8 9 10 COMPETITIVENESS UNIVERSITY of STRATHCLYDE OIL & GAS INSTITUTE OIL & GAS EXPERTISE AND PARTNERSHIPS #12;1 The launch of the Strathclyde Oil & Gas Institute represents an important step forward for the University

  20. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

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

    2001-11-14T23:59:59.000Z

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

  1. Simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

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

    1996-10-01T23:59:59.000Z

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

  2. Advanced simulation of intelligent transportation systems

    SciTech Connect (OSTI)

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

    1996-11-01T23:59:59.000Z

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

  3. Large-scale Intelligent Transporation Systems simulation

    SciTech Connect (OSTI)

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

    1995-06-01T23:59:59.000Z

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

  4. Intelligent, self-contained robotic hand

    DOE Patents [OSTI]

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

    2007-01-30T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Agogino, Alice M.

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

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

    E-Print Network [OSTI]

    Bruegge, Bernd

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

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

    E-Print Network [OSTI]

    Amin, S. Massoud

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

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

    E-Print Network [OSTI]

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

    2002-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Malec, Jacek

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

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

    E-Print Network [OSTI]

    Kansas, University of

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

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

    E-Print Network [OSTI]

    Korkmaz, Ummugulsum

    2014-07-25T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Tanner, Herbert G.

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

  13. Natural gas monthly

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the Natural Gas Monthly features articles designed to assist readers in using and interpreting natural gas information.

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

    E-Print Network [OSTI]

    Walton, James Calder

    2007-02-13T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Lu, Yi

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

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

    E-Print Network [OSTI]

    Tseng, Yu-Chee

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

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

    E-Print Network [OSTI]

    Mackworth, Alan K.

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

  18. 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

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

    SciTech Connect (OSTI)

    Harber, K.S. (ed.)

    1991-09-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Edinburgh, University of

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  4. 1Intelligent Transportation Systems: Saving Lives, Time and Money PORTAL Advisory Committee

    E-Print Network [OSTI]

    Bertini, Robert L.

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

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

    E-Print Network [OSTI]

    Gini, Giuseppina

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    SciTech Connect (OSTI)

    Gonder, J.

    2011-11-01T23:59:59.000Z

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

  9. Cultural intelligence support for military operations

    SciTech Connect (OSTI)

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

    2010-04-08T23:59:59.000Z

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

  10. Argonne simulation framework for intelligent transportation systems

    SciTech Connect (OSTI)

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

    1996-04-01T23:59:59.000Z

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

  11. Generalized Intelligent States for an Arbitrary Quantum System

    E-Print Network [OSTI]

    A. H. EL Kinani; M. Daoud

    2003-11-06T23:59:59.000Z

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

  12. Intelligent energy management agent for a parallel hybrid vehicle

    E-Print Network [OSTI]

    Won, Jong-Seob

    2004-09-30T23:59:59.000Z

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

  13. Cost of Gas Adjustment for Gas Utilities (Maine)

    Broader source: Energy.gov [DOE]

    This rule, applicable to gas utilities, establishes rules for calculation of gas cost adjustments, procedures to be followed in establishing gas cost adjustments and refunds, and describes reports...

  14. Enhanced membrane gas separations

    SciTech Connect (OSTI)

    Prasad, R.

    1993-07-13T23:59:59.000Z

    An improved membrane gas separation process is described comprising: (a) passing a feed gas stream to the non-permeate side of a membrane system adapted for the passage of purge gas on the permeate side thereof, and for the passage of the feed gas stream in a counter current flow pattern relative to the flow of purge gas on the permeate side thereof, said membrane system being capable of selectively permeating a fast permeating component from said feed gas, at a feed gas pressure at or above atmospheric pressure; (b) passing purge gas to the permeate side of the membrane system in counter current flow to the flow of said feed gas stream in order to facilitate carrying away of said fast permeating component from the surface of the membrane and maintaining the driving force for removal of the fast permeating component through the membrane from the feed gas stream, said permeate side of the membrane being maintained at a subatmospheric pressure within the range of from about 0.1 to about 5 psia by vacuum pump means; (c) recovering a product gas stream from the non-permeate side of the membrane; and (d) discharging purge gas and the fast permeating component that has permeated the membrane from the permeate side of the membrane, whereby the vacuum conditions maintained on the permeate side of the membrane by said vacuum pump means enhance the efficiency of the gas separation operation, thereby reducing the overall energy requirements thereof.

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

    E-Print Network [OSTI]

    Bianchini, Ricardo

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

  16. COMPUTATIONAL OPTIMIZATION OF GAS COMPRESSOR ...

    E-Print Network [OSTI]

    2015-02-26T23:59:59.000Z

    Feb 26, 2015 ... When considering cost-optimal operation of gas transport net- works ..... The four most frequently used drive types are gas turbines, gas driven.

  17. Purchased Gas Adjustment Rules (Tennessee)

    Broader source: Energy.gov [DOE]

    The Purchased Gas Adjustment Rules are implemented by the Tennessee Regulatory Authority (Authority). Purchased Gas Adjustment (PGA) Rules are intended to permit the company/LDC (local gas...

  18. Transportation and Greenhouse Gas Mitigation

    E-Print Network [OSTI]

    Lutsey, Nicholas P.; Sperling, Dan

    2008-01-01T23:59:59.000Z

    natural gas and liquefied petroleum gas have continued to make small contributions to transportation,transportation actions include electric power sector actions, eg coal to natural gas

  19. Oil and Gas CDT Bots in Rocks: Intelligent Rock Deformation for Fault Rock

    E-Print Network [OSTI]

    Henderson, Gideon

    Heriot-Watt University, Institute of Petroleum Engineering Supervisory Team · Dr Helen Lewis, Heriot://www.pet.hw.ac.uk/staff-directory/jimsomerville.htm Key Words Nano/Micro sensors; faults; fault zones; geomechanics; rock mechanics; rock deformation-deformed equivalent, a different lab-deformed example and a geomechanical simulation of a fault zone showing permanent

  20. Natural gas annual 1996

    SciTech Connect (OSTI)

    NONE

    1997-09-01T23:59:59.000Z

    This document provides information on the supply and disposition of natural gas to a wide audience. The 1996 data are presented in a sequence that follows natural gas from it`s production to it`s end use.

  1. Recirculating rotary gas compressor

    DOE Patents [OSTI]

    Weinbrecht, J.F.

    1992-02-25T23:59:59.000Z

    A positive displacement, recirculating Roots-type rotary gas compressor is described which operates on the basis of flow work compression. The compressor includes a pair of large diameter recirculation conduits which return compressed discharge gas to the compressor housing, where it is mixed with low pressure inlet gas, thereby minimizing adiabatic heating of the gas. The compressor includes a pair of involutely lobed impellers and an associated port configuration which together result in uninterrupted flow of recirculation gas. The large diameter recirculation conduits equalize gas flow velocities within the compressor and minimize gas flow losses. The compressor is particularly suited to applications requiring sustained operation at higher gas compression ratios than have previously been feasible with rotary pumps, and is particularly applicable to refrigeration or other applications requiring condensation of a vapor. 12 figs.

  2. Recirculating rotary gas compressor

    DOE Patents [OSTI]

    Weinbrecht, John F. (601 Oakwood Loop, NE., Albuquerque, NM 87123)

    1992-01-01T23:59:59.000Z

    A positive displacement, recirculating Roots-type rotary gas compressor which operates on the basis of flow work compression. The compressor includes a pair of large diameter recirculation conduits (24 and 26) which return compressed discharge gas to the compressor housing (14), where it is mixed with low pressure inlet gas, thereby minimizing adiabatic heating of the gas. The compressor includes a pair of involutely lobed impellers (10 and 12) and an associated port configuration which together result in uninterrupted flow of recirculation gas. The large diameter recirculation conduits equalize gas flow velocities within the compressor and minimize gas flow losses. The compressor is particularly suited to applications requiring sustained operation at higher gas compression ratios than have previously been feasible with rotary pumps, and is particularly applicable to refrigeration or other applications requiring condensation of a vapor.

  3. Gas and Oil (Maryland)

    Broader source: Energy.gov [DOE]

    The Department of the Environment has the authority to enact regulations pertaining to oil and gas production, but it cannot prorate or limit the output of any gas or oil well. A permit from the...

  4. Microminiature gas chromatograph

    DOE Patents [OSTI]

    Yu, Conrad M. (Antioch, CA)

    1996-01-01T23:59:59.000Z

    A microminiature gas chromatograph (.mu.GC) comprising a least one silicon wafer, a gas injector, a column, and a detector. The gas injector has a normally closed valve for introducing a mobile phase including a sample gas in a carrier gas. The valve is fully disposed in the silicon wafer(s). The column is a microcapillary in silicon crystal with a stationary phase and is mechanically connected to receive the mobile phase from the gas injector for the molecular separation of compounds in the sample gas. The detector is mechanically connected to the column for the analysis of the separated compounds of sample gas with electronic means, e.g., ion cell, field emitter and PIN diode.

  5. Microminiature gas chromatograph

    DOE Patents [OSTI]

    Yu, C.M.

    1996-12-10T23:59:59.000Z

    A microminiature gas chromatograph ({mu}GC) comprising a least one silicon wafer, a gas injector, a column, and a detector. The gas injector has a normally closed valve for introducing a mobile phase including a sample gas in a carrier gas. The valve is fully disposed in the silicon wafer(s). The column is a microcapillary in silicon crystal with a stationary phase and is mechanically connected to receive the mobile phase from the gas injector for the molecular separation of compounds in the sample gas. The detector is mechanically connected to the column for the analysis of the separated compounds of sample gas with electronic means, e.g., ion cell, field emitter and PIN diode. 7 figs.

  6. Residual gas analysis device

    DOE Patents [OSTI]

    Thornberg, Steven M. (Peralta, NM)

    2012-07-31T23:59:59.000Z

    A system is provided for testing the hermeticity of a package, such as a microelectromechanical systems package containing a sealed gas volume, with a sampling device that has the capability to isolate the package and breach the gas seal connected to a pulse valve that can controllably transmit small volumes down to 2 nanoliters to a gas chamber for analysis using gas chromatography/mass spectroscopy diagnostics.

  7. Natural gas annual 1995

    SciTech Connect (OSTI)

    NONE

    1996-11-01T23:59:59.000Z

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1995 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1991 to 1995 for each Census Division and each State. Annual historical data are shown at the national level.

  8. Natural gas annual 1994

    SciTech Connect (OSTI)

    NONE

    1995-11-17T23:59:59.000Z

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1994 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1990 to 1994 for each Census Division and each State. Annual historical data are shown at the national level.

  9. Valve for gas centrifuges

    DOE Patents [OSTI]

    Hahs, C.A.; Rurbage, C.H.

    1982-03-17T23:59:59.000Z

    The invention is pneumatically operated valve assembly for simulatenously (1) closing gas-transfer lines connected to a gas centrifuge or the like and (2) establishing a recycle path between two on the lines so closed. The value assembly is especially designed to be compact, fast-acting, reliable, and comparatively inexpensive. It provides large reductions in capital costs for gas-centrifuge cascades.

  10. Gas Cylinders: Proper Management

    E-Print Network [OSTI]

    Boyer, Elizabeth W.

    Compressed Gas Cylinders: Proper Management And Use Published by the Office of Environment, Health;1 Introduction University of California, Berkeley (UC Berkeley) departments that use compressed gas cylinders (MSDS) and your department's Job Safety Analyses (JSAs). Talk to your gas supplier about hands

  11. Static gas expansion cooler

    DOE Patents [OSTI]

    Guzek, J.C.; Lujan, R.A.

    1984-01-01T23:59:59.000Z

    Disclosed is a cooler for television cameras and other temperature sensitive equipment. The cooler uses compressed gas ehich is accelerated to a high velocity by passing it through flow passageways having nozzle portions which expand the gas. This acceleration and expansion causes the gas to undergo a decrease in temperature thereby cooling the cooler body and adjacent temperature sensitive equipment.

  12. Natural Gas Exploration

    E-Print Network [OSTI]

    Boyer, Elizabeth W.

    . Exploration and extraction of natural gas from the Marcellus shale is a potentially valuable economic stimulus for landowners. You might be wondering how the nation's economic situation is affecting the market for naturalNatural Gas Exploration: A Landowners Guide to Financial Management Natural Gas Exploration

  13. Control and Intelligent Systems, Vol. 40, No. 1, 201 DESIGN AND CONSTRUCTION

    E-Print Network [OSTI]

    Benmei, Chen

    ]­[5]. The classes of UAVs include fixed wing, vertical takeoff and landing (rotorcraft) and airships [6

  14. International Journal of Computational Intelligence and Applications Vol. 10, No. 3 (2011) 269293

    E-Print Network [OSTI]

    Al-Majed, Abdulaziz Abdullah

    2011-01-01T23:59:59.000Z

    , and planning future enhanced oil recovery projects. At every stage of the petroleum exploration and production University of Petroleum and Minerals, Dhahran, KSA Petroleum Engineering Department King Fahd University of Petroleum and Minerals, Dhahran, KSA amar@kfupm.edu.sa §ajadioloso@yahoo.co.uk ¶elshafei@kfupm.edu.sa aazeez

  15. INTERNATIONAL JOURNAL OF INTELLIGENT CONTROL AND SYSTEMS VOL. 12, NO. 1, MARCH 2007, 45-55

    E-Print Network [OSTI]

    Li, Tao

    Sun, Tao Li, Wei Peng, and Tong Sun Abstract-- For today's business organizations, workflow models research: i) How can we mine process models with optional tasks? ii) How can we efficiently use new, and intervention of operators, while making efficient use of resources. With advancement of printing technique

  16. International Journal on Artificial Intelligence Tools Vol. XX, No. X (2006) 143

    E-Print Network [OSTI]

    Treur, Jan

    Scientific Publishing Company 1 A LANGUAGE AND ENVIRONMENT FOR ANALYSIS OF DYNAMICS BY SIMULATION Tibor Bosse and simulate dynamic processes in terms of both qualitative and quantitative concepts. The LEADSTO language. In this article, the Language and Environment for Analysis of Dynamics by SimulaTiOn (LEADSTO) is proposed

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

    E-Print Network [OSTI]

    Dastani, Mehdi

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

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

    E-Print Network [OSTI]

    Tokyo, University of

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

  19. An Introduction to Computational Intelligence Techniques for Robot Control

    E-Print Network [OSTI]

    Bullinaria, John

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

  20. Building Intelligent Environments By Adding Smart Artifacts to Spaces

    E-Print Network [OSTI]

    Loke, Seng W. - Loke, Seng W.

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

  1. 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

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

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

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

    E-Print Network [OSTI]

    Polz, Martin

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

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

    E-Print Network [OSTI]

    Polz, Martin

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

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

    E-Print Network [OSTI]

    Boutilier, Craig

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

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

    E-Print Network [OSTI]

    Bongard, Josh

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

  13. A Data and Knowledge Management System for Intelligent Buildings

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Oh, Paul

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

  15. 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

  16. Towards an Intelligent system for managing Historical Archive Documents

    E-Print Network [OSTI]

    Kouroupetroglou, Georgios

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

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

  19. Intelligent Command and Control Agent in Electronic Warfare Settings

    E-Print Network [OSTI]

    Noh, Sanguk

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

  20. Intelligent Management of Misbehaving Nodes In Wireless Sensor Networks

    E-Print Network [OSTI]

    Gesbert, David

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

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

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

    E-Print Network [OSTI]

    Cheng, Yuan-Teng

    2009-05-15T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Zhang, Runtong

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

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, 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

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

    E-Print Network [OSTI]

    Corran, Ruth

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

  9. 3D PRINTING FOR INTELLIGENT METALLIC STRUCTURES M. Strantza1

    E-Print Network [OSTI]

    Boyer, Edmond

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

  10. Cost-Constrained Data Acquisition for Intelligent Data Preparation

    E-Print Network [OSTI]

    Wu, Xindong

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

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

    E-Print Network [OSTI]

    Kansas, University of

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

  12. Providing Intelligent Language Feedback for Augmentative Communication Users

    E-Print Network [OSTI]

    McCoy, Kathleen F.

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

  13. Providing Intelligent Language Feedback for Augmentative Communication Users

    E-Print Network [OSTI]

    McCoy, Kathleen F.

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

  14. A Survey on Trust Management for Intelligent Transportation System

    E-Print Network [OSTI]

    Wolfson, Ouri E.

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

  15. INTELLIGENT ILLICIT OBJECT DETECTION SYSTEM FOR ENHANCED AVIATION SECURITY

    E-Print Network [OSTI]

    Blumenstein, Michael

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

  16. INTRODUCTION In order to allow intelligent power control and

    E-Print Network [OSTI]

    Shen, Xuemin "Sherman"

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

  17. 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

  18. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Lynch, Nancy

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

  19. Improved Hydrogen Gas Getters for TRU Waste -- Final Report

    SciTech Connect (OSTI)

    Mark Stone; Michael Benson; Christopher Orme; Thomas Luther; Eric Peterson

    2005-09-01T23:59:59.000Z

    Alpha radiolysis of hydrogenous waste and packaging materials generates hydrogen gas in radioactive storage containers. For that reason, the Nuclear Regulatory Commission limits the flammable gas (hydrogen) concentration in the Transuranic Package Transporter-II (TRUPACT-II) containers to 5 vol% of hydrogen in air, which is the lower explosion limit. Consequently, a method is needed to prevent the build up of hydrogen to 5 vol% during the storage and transport of the TRUPACT-II containers (up to 60 days). One promising option is the use of hydrogen getters. These materials scavenge hydrogen from the gas phase and irreversibly bind it in the solid phase. One proven getter is a material called 1,4-bis (phenylethynyl) benzene, or DEB, characterized by the presence of carbon-carbon triple bonds. Carbon may, in the presence of suitable precious metal catalysts such as palladium, irreversibly react with and bind hydrogen. In the presence of oxygen, the precious metal may also eliminate hydrogen by catalyzing the formation of water. This reaction is called catalytic recombination. DEB has the needed binding rate and capacity for hydrogen that potentially could be generated in the TRUPACT II. Phases 1 and 2 of this project showed that uncoated DEB performed satisfactorily in lab scale tests. Based upon these results, Phase 3, the final project phase, included larger scale testing. Test vessels were scaled to replicate the ratio between void space in the inner containment vessel of a TRUPACT-II container and a payload of seven 55-gallon drums. The tests were run with an atmosphere of air for 63.9 days at ambient temperature (15-27°C) and a scaled hydrogen generation rate of 2.60E-07 moles per second (0.35 cc/min). A second type of getter known as VEI, a proprietary polymer hydrogen getter characterized by carbon-carbon double bonds, was also tested in Phase 3. Hydrogen was successfully “gettered” by both getter systems. Hydrogen concentrations remained below 5 vol% (in air) for the duration of the tests. However, catalytic reaction of hydrogen with carbon triple or double bonds in the getter materials did not take place. Instead, catalytic recombination was the predominant gettering mechanism in both getter materials as evidenced by (1) consumption of oxygen in the belljars, (2) production of free water in the belljars, and (3) absence of chemical changes in both getter materials as shown by nuclear magnetic resonance spectra.

  20. Welcome FUPWG- Natural Gas Overview

    Broader source: Energy.gov [DOE]

    Presentation—given at the Federal Utility Partnership Working Group (FUPWG) Fall 2008 meeting—provides an overview of natural gas, including emissions, compressed natural gas (CNG) vehicles, and landfill gas supplement for natural gas system.

  1. Natural gas leak mapper

    DOE Patents [OSTI]

    Reichardt, Thomas A. (Livermore, CA); Luong, Amy Khai (Dublin, CA); Kulp, Thomas J. (Livermore, CA); Devdas, Sanjay (Albany, CA)

    2008-05-20T23:59:59.000Z

    A system is described that is suitable for use in determining the location of leaks of gases having a background concentration. The system is a point-wise backscatter absorption gas measurement system that measures absorption and distance to each point of an image. The absorption measurement provides an indication of the total amount of a gas of interest, and the distance provides an estimate of the background concentration of gas. The distance is measured from the time-of-flight of laser pulse that is generated along with the absorption measurement light. The measurements are formated into an image of the presence of gas in excess of the background. Alternatively, an image of the scene is superimosed on the image of the gas to aid in locating leaks. By further modeling excess gas as a plume having a known concentration profile, the present system provides an estimate of the maximum concentration of the gas of interest.

  2. Gas Hydrate Storage of Natural Gas

    SciTech Connect (OSTI)

    Rudy Rogers; John Etheridge

    2006-03-31T23:59:59.000Z

    Environmental and economic benefits could accrue from a safe, above-ground, natural-gas storage process allowing electric power plants to utilize natural gas for peak load demands; numerous other applications of a gas storage process exist. A laboratory study conducted in 1999 to determine the feasibility of a gas-hydrates storage process looked promising. The subsequent scale-up of the process was designed to preserve important features of the laboratory apparatus: (1) symmetry of hydrate accumulation, (2) favorable surface area to volume ratio, (3) heat exchanger surfaces serving as hydrate adsorption surfaces, (4) refrigeration system to remove heat liberated from bulk hydrate formation, (5) rapid hydrate formation in a non-stirred system, (6) hydrate self-packing, and (7) heat-exchanger/adsorption plates serving dual purposes to add or extract energy for hydrate formation or decomposition. The hydrate formation/storage/decomposition Proof-of-Concept (POC) pressure vessel and supporting equipment were designed, constructed, and tested. This final report details the design of the scaled POC gas-hydrate storage process, some comments on its fabrication and installation, checkout of the equipment, procedures for conducting the experimental tests, and the test results. The design, construction, and installation of the equipment were on budget target, as was the tests that were subsequently conducted. The budget proposed was met. The primary goal of storing 5000-scf of natural gas in the gas hydrates was exceeded in the final test, as 5289-scf of gas storage was achieved in 54.33 hours. After this 54.33-hour period, as pressure in the formation vessel declined, additional gas went into the hydrates until equilibrium pressure/temperature was reached, so that ultimately more than the 5289-scf storage was achieved. The time required to store the 5000-scf (48.1 hours of operating time) was longer than designed. The lower gas hydrate formation rate is attributed to a lower heat transfer rate in the internal heat exchanger than was designed. It is believed that the fins on the heat-exchanger tubes did not make proper contact with the tubes transporting the chilled glycol, and pairs of fins were too close for interior areas of fins to serve as hydrate collection sites. A correction of the fabrication fault in the heat exchanger fin attachments could be easily made to provide faster formation rates. The storage success with the POC process provides valuable information for making the process an economically viable process for safe, aboveground natural-gas storage.

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

    DOE Patents [OSTI]

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

    2003-01-01T23:59:59.000Z

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

  4. VOL 5, ISSUE 4 Greenhouse Gas Emmissions in the

    E-Print Network [OSTI]

    Peak, Derek

    Elliott, Editor, Western Policy Analyst Under the Copenhagen Accord, the government of Canada committed emissions from electricity production not from commercial, industrial, or residential users of electricity, the new carbon- capture facility a

  5. Carbon sequestration in natural gas reservoirs: Enhanced gas recovery and natural gas storage

    E-Print Network [OSTI]

    Oldenburg, Curtis M.

    2003-01-01T23:59:59.000Z

    gas reservoirs for carbon sequestration and enhanced gasproduction and carbon sequestration, Society of Petroleumfeasibiilty of carbon sequestration with enhanced gas

  6. Flue gas desulfurization

    DOE Patents [OSTI]

    Im, K.H.; Ahluwalia, R.K.

    1984-05-01T23:59:59.000Z

    The invention involves a combustion process in which combustion gas containing sulfur oxide is directed past a series of heat exchangers to a stack and in which a sodium compound is added to the combustion gas in a temparature zone of above about 1400 K to form Na/sub 2/SO/sub 4/. Preferably, the temperature is above about 1800 K and the sodium compound is present as a vapor to provide a gas-gas reaction to form Na/sub 2/SO/sub 4/ as a liquid. Since liquid Na/sub 2/SO/sub 4/ may cause fouling of heat exchanger surfaces downstream from the combustion zone, the process advantageously includes the step of injecting a cooling gas downstream of the injection of the sodium compound yet upstream of one or more heat exchangers to cool the combustion gas to below about 1150 K and form solid Na/sub 2/SO/sub 4/. The cooling gas is preferably a portion of the combustion gas downstream which may be recycled for cooling. It is further advantageous to utilize an electrostatic precipitator downstream of the heat exchangers to recover the Na/sub 2/SO/sub 4/. It is also advantageous in the process to remove a portion of the combustion gas cleaned in the electrostatic precipitator and recycle that portion upstream to use as the cooling gas. 3 figures.

  7. ALSNews Vol. 294

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  14. ALSNews Vol. 305

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  17. ALSNews Vol. 305

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  18. ALSNews Vol. 305

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  19. ALSNews Vol. 305

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  20. ALSNews Vol. 305

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  1. ALSNews Vol. 305

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  20. ALSNews Vol. 308

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  1. ALSNews Vol. 308

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral FellowshipALS2 Print8460Vol.66788

  2. ALSNews Vol. 308

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  3. ALSNews Vol. 308

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  4. ALSNews Vol. 308

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  5. ALSNews Vol. 308

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral FellowshipALS2 Print8460Vol.6678808888

  6. ALSNews Vol. 308

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral FellowshipALS2 Print8460Vol.66788088888

  7. ALSNews Vol. 310

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral FellowshipALS28 Print InALSNews Vol.

  8. ALSNews Vol. 310

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral FellowshipALS28 Print InALSNews Vol.0

  9. ALSNews Vol. 310

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  10. ALSNews Vol. 315

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  11. ALSNews Vol. 316

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  12. ALSNews Vol. 316

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  13. ALSNews Vol. 316

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  14. ALSNews Vol. 317

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  15. ALSNews Vol. 317

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  16. ALSNews Vol. 317

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  17. ALSNews Vol. 317

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  18. ALSNews Vol. 317

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  19. ALSNews Vol. 317

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  20. ALSNews Vol. 317

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  1. ALSNews Vol. 318

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  2. ALSNews Vol. 318

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  3. ALSNews Vol. 318

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  4. ALSNews Vol. 318

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  5. ALSNews Vol. 318

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  6. ALSNews Vol. 318

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  7. ALSNews Vol. 318

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  8. ALSNews Vol. 318

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  9. ALSNews Vol. 318

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  10. ALSNews Vol. 318

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  11. ALSNews Vol. 318

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  12. ALSNews Vol. 319

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  13. ALSNews Vol. 319

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  14. ALSNews Vol. 320

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  15. ALSNews Vol. 322

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  16. ALSNews Vol. 322

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  17. ALSNews Vol. 322

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  18. ALSNews Vol. 324

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  19. ALSNews Vol. 325

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  20. ALSNews Vol. 325

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  1. ALSNews Vol. 326

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  2. ALSNews Vol. 326

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  3. ALSNews Vol. 326

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  4. ALSNews Vol. 326

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  5. ALSNews Vol. 326

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  6. ALSNews Vol. 326

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  7. ALSNews Vol. 327

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  8. ALSNews Vol. 327

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 327 Print

  9. ALSNews Vol. 327

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 327

  10. ALSNews Vol. 328

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

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  11. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 3278 Print A8

  12. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 3278 Print

  13. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 3278 Print28

  14. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 3278

  15. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 32788 Print A

  16. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 32788 Print

  17. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 32788

  18. ALSNews Vol. 328

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 32788ALSNews

  19. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol. 32788ALSNews9

  20. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.

  1. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print A

  2. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print A9

  3. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print A99

  4. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print A999

  5. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print A99929

  6. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print

  7. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print9 Print

  8. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9 Print9

  9. ALSNews Vol. 329

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.9

  10. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90 Print

  11. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90 Print0

  12. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90 Print00

  13. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90 Print000

  14. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90

  15. ALSNews Vol. 330

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90ALSNews

  16. ALSNews Vol. 331

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90ALSNews1

  17. ALSNews Vol. 331

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90ALSNews11

  18. ALSNews Vol. 331

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90ALSNews111

  19. ALSNews Vol. 331

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print Cool3ALSNews Vol.90ALSNews1111

  20. ALSNews Vol. 337

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032)8Li (59AJ76) (See theDoctoral20 Print7 Print GuidedALSNews Vol. 337