National Library of Energy BETA

Sample records for intelligent generation invenergy

  1. Invenergy | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam:on OpeneiAlbanianStudy) (Webinar) | OpenInvenergy Jump to:

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

    E-Print Network [OSTI]

    Rodríguez, Inmaculada

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

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

    E-Print Network [OSTI]

    Hitzeman, Janet; Mellish, Chris; Oberlander, Jon

    1997-01-01

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

  4. Judith Gap Wind Farm Tour 2011 Many Thanks to Invenergy and Site Manager John Bacon

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Judith Gap Wind Farm Tour 2011 Many Thanks to Invenergy and Site Manager John Bacon #12;Getting the low-down on the high-up from site manager John Bacon Gearing up #12;Seth Knutson, Matt Peterson, tower, Site Manager John Bacon, WAC Director Robb Larson MSU graduate students Ed Meehan and Matt Peterson

  5. Intelligent Efficiency: the Next Generation of Energy Efficiency 

    E-Print Network [OSTI]

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

    2012-01-01

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

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

    E-Print Network [OSTI]

    Bringsjord, Selmer

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

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

    SciTech Connect (OSTI)

    Paul Tubel

    2003-03-24

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

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

    E-Print Network [OSTI]

    Bringsjord, Selmer

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

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

    DOE Patents [OSTI]

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

    2009-09-01

    A method and apparatus for optimizing the operation of a power generating plant using artificial intelligence techniques. One or more decisions D are determined for at least one consecutive time increment, where at least one of the decisions D is associated with a discrete variable for the operation of a power plant device in the power generating plant. In an illustrated embodiment, the power plant device is a soot cleaning device associated with a boiler.

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

    SciTech Connect (OSTI)

    Paul Tubel

    2003-07-05

    The third quarter of the project was dedicated to creating the detailed design for the manufacturing of the mechanical system for wireless communications and the power generation module. Another emphasis for the quarter was the development of the surface system and acoustic detector for the downhole tool for 2 way communications. The tasks accomplished during this report period were: (1) All detailed drawings for manufacturing of the wireless communications gauge and power generator were completed and the drawings were forward to a machine shop for manufacturing. (2) The power generator was incorporated to the mandrel of the wireless gauge reducing the length of the tool by 25% and manufacturing cost by about 35%. (3) The new piezoelectric acoustic generator was manufactured successfully and it was delivered during this quarter. The assembly provides a new technique to manufacture large diameter piezoelectric based acoustic generators. (4) The acoustic two-way communications development progressed significantly. The real time firmware for the surface system was developed and the processor was able to detect and process the data frame transmitted from downhole. The analog section of the tool was also developed and it is being tested for filtering capabilities and signal detection and amplification. (5) The new transformer to drive the piezoelectric wafer assembly was designed and manufactured. The transformer has been received and it will go through testing and evaluation during the next quarter.

  11. EA-1884: Invenergy Interconnection for the Wray Wind Energy Project, Town of Wray, Yuma County, CO

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed Wray Wind Energy Project, for approximately 90 megawatts of wind generation, to Western’s existing Wray Substation in Yuma County, Colorado.

  12. Advanced Research in Artificial Intelligence132 METHODOLOGY FOR LANGUAGE ANALYSIS AND GENERATION

    E-Print Network [OSTI]

    Cardeñosa, Jesús

    IN CLOSED DOMAINS: PHARMACEUTICAL LEAFLET Jesús Cardeñosa, Carolina Gallardo, Adriana Toni Abstract and generation of language applied to the field of pharmaceutical leaflet, a type of document characterized or management field. This discussion only ratifies the challenge supposed for automating, as far as possible

  13. Artificial Intelligence Intelligent Agents

    E-Print Network [OSTI]

    Voris, Jonathan

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

  14. Abstract--The generation of useful sensory data from real-world deployments of Ambient Intelligent Environments

    E-Print Network [OSTI]

    Helal, Abdelsalam

    024294-01. A. ElFaham is with the German University in Cairo, Egypt. H. Hagras is with the German University in Cairo, Egypt, he is also with the Computational Intelligence Centre, School of Computer Science Department, University of Florida, USA (e-mail: helal@cise.ufl.edu). D. Cook is with the School of Electrical

  15. Subcommittee Intelligence

    E-Print Network [OSTI]

    Ernst, Damien

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

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

    E-Print Network [OSTI]

    MacLennan, Bruce

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

  17. Artificial Intelligence 

    E-Print Network [OSTI]

    Appleton, D. S.

    1985-01-01

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

  18. NERI Final Project Report: On-Line Intelligent Self-Diagnostic Monitoring System for Next Generation Nuclear Power Plants

    SciTech Connect (OSTI)

    Bond, Leonard J.; Jarrell, Donald B.; Koehler, Theresa M.; Meador, Richard J.; Sisk, Daniel R.; Hatley, Darrel D.; Watkins, Kenneth S.; Chai, Jangbom; Kim, Wooshik

    2003-06-20

    This project provides a proof-of-principle technology demonstration for SDMS, where a distributed suite of sensors is integrated with active components and passive structures of types expected to be encountered in next generation nuclear power reactor and plant systems. The project employs state-of-the-art operational sensors, advanced stressor-based instrumentation, distributed computing, RF data network modules and signal processing to improve the monitoring and assessment of the power reactor system and gives data that is used to provide prognostics capabilities.

  19. INTELLIGENT ENGINEERING

    E-Print Network [OSTI]

    Ernst, Damien

    CPSPP'97 ­ IFAC/CIGRE SYMPOSIUM ON CONTROL OF POWER SYSTEMS AND POWER PLANTS TUTORIAL COURSE ON INTELLIGENT SYSTEMS AND THEIR POWER ENGINEERING APPLICATIONS AUTOMATIC LEARNING APPLICATIONS TO DSA Learning.6 Examples : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 32 5.6.1 Hydro

  20. Invenergy Wind LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13Renewable PowerMismatch | OpenTechnology

  1. Invenergy Services LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA) Jump to: navigation, searchData at

  2. Invenergy TN LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'SHeavyAgency (IRENA) Jump to: navigation, searchData atTN LLC Jump to:

  3. Intelligent Extruder

    SciTech Connect (OSTI)

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

    2003-04-24

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

  4. Intelligent Generation | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy ResourcesOrder at 8, 13 (Vt.InfinifuelInovaEnergy

  5. 7th Conference on Computer Generated Forces & Behavioral Representation, May 1214, 1998, Orlando, FL SoarRWA: Planning, Teamwork, and Intelligent Behavior

    E-Print Network [OSTI]

    Gratch, Jonathan

    of intelligent agents that perform the tasks of an Army attack helicopter company and a Marine transport have used the Soar integrated architecture to develop: (1) pilot agents for a company of helicopters, (2) a command agent that makes decisions and plans for the helicopter company, and (3) an approach

  6. Artificial Intelligence and Robotics

    E-Print Network [OSTI]

    Brady, Michael

    1984-02-01

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

  7. Artificial Intelligence Daniel Polani

    E-Print Network [OSTI]

    Polani, Daniel

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

  8. Industrial Applications of Artificial Intelligence

    E-Print Network [OSTI]

    Fox, Mark S.

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

  9. Encyclopedia of Artificial Intelligence

    E-Print Network [OSTI]

    Liang, Faming

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

  10. Interpretation Intelligent Systems Laboratory

    E-Print Network [OSTI]

    Ward, Koren

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

  11. Artificial Intelligence Decision and Information

    E-Print Network [OSTI]

    Polani, Daniel

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

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

    E-Print Network [OSTI]

    Alippi, Cesare

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

  13. Constructive Artificial Intelligence Information Theory

    E-Print Network [OSTI]

    Polani, Daniel

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

  14. LED Market Intelligence Report

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

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

  15. FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors

    E-Print Network [OSTI]

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

  16. Roel Wieringa Machine Intelligence

    E-Print Network [OSTI]

    Wieringa, Roel

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

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

    E-Print Network [OSTI]

    Luck, Michael

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

  18. Intelligent Interfaces Artificial Intelligence Meets Human Computer Interaction

    E-Print Network [OSTI]

    Meliou, Alexandra

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

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

    E-Print Network [OSTI]

    Knill, Oliver

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

  20. Artificial Intelligence Progress Report

    E-Print Network [OSTI]

    Minsky, Marvin

    1972-01-01

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

  1. The Evolutionary Emergence Artificial Intelligence

    E-Print Network [OSTI]

    Fernandez, Thomas

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

  2. diploma thesis Adaptive Building Intelligence

    E-Print Network [OSTI]

    Rutishauser, Ueli

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

  3. INTELLIGENT CONTROL Panos J. Antsaklis

    E-Print Network [OSTI]

    Antsaklis, Panos

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

  4. Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

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

  5. Foundations of Artificial Intelligence Introduction

    E-Print Network [OSTI]

    Qu, Rong

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

  6. Web Intelligence to Make Strategic

    E-Print Network [OSTI]

    Ahrendt, Wolfgang

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

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

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

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

  8. OVERVIEW ______ Sensors for Intelligent

    E-Print Network [OSTI]

    Wadley, Haydn

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

  9. Utility Theory Social Intelligence

    E-Print Network [OSTI]

    Polani, Daniel

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

  10. Artificial Intelligence in BiomedicalArtificial Intelligence in Biomedical InformaticsInformatics

    E-Print Network [OSTI]

    Reed, Nancy E.

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

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

    E-Print Network [OSTI]

    Qu, Rong

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

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

    E-Print Network [OSTI]

    Beeson, Patrick

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

  13. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Session 3: Impact on U.S.

    E-Print Network [OSTI]

    energy generation? Presentation reviews · Dynamic reserve requirements · Primary frequency response regulation reserve and nonspinning reserve Photo from Invenergy LLC, NREL 16037 #12;6 Frequency Responsive of grid connection · Wind and PV lack inherent inertial response · Studies show frequency response

  14. Instrumentation, Control, and Intelligent Systems

    SciTech Connect (OSTI)

    Not Available

    2005-09-01

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

  15. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  16. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  17. The 2008 Artificial Intelligence Competition Valliappa Lakshmanan

    E-Print Network [OSTI]

    Lakshmanan, Valliappa

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

  18. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

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

    E-Print Network [OSTI]

    Papert, Seymour

    1968-01-01

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

  20. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  1. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  2. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  3. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  5. 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

  6. Discoveryourself.Startwiththeworld. ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Davis, Jesse

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

  7. Exploiting User Generated Content for Mountain Peak Detection

    E-Print Network [OSTI]

    Tagliasacchi, Marco

    Exploiting User Generated Content for Mountain Peak Detection Roman Fedorov Politecnico di Milano.g. snow water availability maps based on mountain peaks states extracted from photographs hosting services). User Generated Content(UGC); collective intelligence; passive crowdsourcing; environmental models

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

    E-Print Network [OSTI]

    Pratt, Vaughan

    1991-01-01

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

  9. Intelligent Component Monitoring for Nuclear Power Plants

    SciTech Connect (OSTI)

    Lefteri Tsoukalas

    2010-07-30

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

  10. Robotic intelligence kernel

    DOE Patents [OSTI]

    Bruemmer, David J. (Idaho Falls, ID)

    2009-11-17

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

  11. New Progress in Artificial Intelligence

    E-Print Network [OSTI]

    Winston, Patrick H.

    1974-09-01

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

  12. Symbolic diagnosis for intelligent control 

    E-Print Network [OSTI]

    Painter, John H.; Jowers, S.

    1988-08-24

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

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

    E-Print Network [OSTI]

    Smith, Leslie S.

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

  14. Teaching Artificial Intelligence in Introductory Cognitive Science Courses

    E-Print Network [OSTI]

    Bustamante, Fabián E.

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

  15. Hugo Liu, Push Singh. (2002). MAKEBELIEVE: Using Commonsense to Generate Stories. Proceedings of the Eighteenth National Conference on Artificial Intelligence, AAAI 2002, July 28 -August 1, 2002, Edmonton, Alberta, Canada. AAAI Press, 2002, pp. 957-958.

    E-Print Network [OSTI]

    2002-01-01

    Hugo Liu, Push Singh. (2002). MAKEBELIEVE: Using Commonsense to Generate Stories. Proceedings Stories Hugo Liu, Push Singh MIT Media Laboratory 20 Ames Street 320D Cambridge, MA, 02139 USA {hugo, push," is selected from the on- tology of the Open Mind Commonsense Knowledge Base (Singh, 2002). Binary causal

  16. Data-Driven Approaches for Computation in Intelligent Biomedical Devices: A Case Study of EEG Monitoring for Chronic Seizure Detection

    E-Print Network [OSTI]

    Verma, Naveen

    Intelligent biomedical devices implies systems that are able to detect specific physiological processes in patients so that particular responses can be generated. This closed-loop capability can have enormous clinical value ...

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

    E-Print Network [OSTI]

    Poggio, Tomaso

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

  20. Modeling emotion dynamics in intelligent agents 

    E-Print Network [OSTI]

    Seif El-Nasr, Magy

    1998-01-01

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

  1. Greening the MLS for Business Intelligence

    Broader source: Energy.gov [DOE]

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

  2. Artificial Intelligence 119 (2000) 295299 Book Review

    E-Print Network [OSTI]

    Würtz, Rolf P.

    2000-01-01

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

  3. Achieving Artificial Intelligence through Building Robots

    E-Print Network [OSTI]

    Brooks, Rodney A.

    1986-05-01

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

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  5. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  6. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  7. Optimization of Wind Power and Its Variability With a Computational Intelligence Approach

    E-Print Network [OSTI]

    Kusiak, Andrew

    Optimization of Wind Power and Its Variability With a Computational Intelligence Approach Zijun is presented for maximizing the generation of wind power while minimizing its variability. In the optimization model, data-driven approaches are used to model the wind-power generation process based on industrial

  8. Development of an Intelligent Systems Approach for

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  9. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

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

  11. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Portland State University

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

  12. ARTIFICIAL INTELLIGENCE PLANNING PROBLEMS PETRI NET FRAMEWORK

    E-Print Network [OSTI]

    Antsaklis, Panos

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

  13. History and Philosophy of Artificial Intelligence

    E-Print Network [OSTI]

    Alechina, Natasha

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

  14. Research Article Artificial Intelligence in Video Games

    E-Print Network [OSTI]

    Ernst, Damien

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

  15. Unifying Artificial Intelligence Robotics: An Undergraduate Textbook

    E-Print Network [OSTI]

    Crabbe, Frederick

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

  16. ARTIFICIAL INTELLIGENCE Learning to see and act

    E-Print Network [OSTI]

    Meeden, Lisa A.

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

  17. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  18. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  19. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Scassellati, Brian

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

  20. Design and implementation of a prototype generator monitoring system 

    E-Print Network [OSTI]

    Sun, Jianyong

    1996-01-01

    This thesis describes an implementation framework for an intelligent generator monitoring system. This solution is based on high performance front-end data acquisition system and real-time processing of electrical signals and contacts from related...

  1. Learning to tell tales: automatic story generation from Corpora 

    E-Print Network [OSTI]

    McIntyre, Neil Duncan

    2011-06-30

    Automatic story generation has a long-standing tradition in the field of Artificial Intelligence. The ability to create stories on demand holds great potential for entertainment and education. For example, modern computer ...

  2. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

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

    2005-08-01

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

  3. Intelligent Economic Alarm Processor (IEAP) 

    E-Print Network [OSTI]

    Guan, Yufan

    2013-08-06

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

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

    E-Print Network [OSTI]

    Kansas, University of

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

  5. Neuromorphic Vision Chips: intelligent sensors for industrial applications

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Hutter, Marcus

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

  7. Artificial Intelligence through the eyes of Organised Sound

    E-Print Network [OSTI]

    Miranda, Eduardo Reck

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

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

    E-Print Network [OSTI]

    Hutter, Marcus

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

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

    E-Print Network [OSTI]

    Pavlacka, Bryon

    2012-01-01

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

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

    E-Print Network [OSTI]

    Taylor, James H.

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

  11. 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

  12. Management and Control of Foreign Intelligence

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

    1992-01-15

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

  13. Intelligence support to arms control. Study project

    SciTech Connect (OSTI)

    Grisham, A.E.

    1990-04-09

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

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

    E-Print Network [OSTI]

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

    2014-01-01

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

  15. Structuring Intelligence: The Role of Hierarchy, Modularity and Learning in Generating Intelligent

    E-Print Network [OSTI]

    Bryson, Joanna J.

    March 29, 2010 1 Introduction Scientific social trends ranging from dynamical systems theories to post movements such as the production of particular words (Mateer, Rapport II, & Polly, 1990) or grasping, 2000). Many factors need to taken into consideration, such as path dependency (the impact of historical

  16. The DIAG experiments: Natural Language Generation for Intelligent Tutoring Systems

    E-Print Network [OSTI]

    as one of the keys to bridge the gap between cur- rent ITSs and human tutors (Anderson et al., 1995). Our Temper- ature, replaceable units, and other complex modules (Oil Burner) that contain indicators

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

    Office of Scientific and Technical Information (OSTI)

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

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

    SciTech Connect (OSTI)

    Paul Tubel

    2005-05-08

    The wireless gauge has not been modified or upgraded during this report period. Tubel Tech is working with the DoE Rocky Mountain test center to create a CRADA to allow Tubel Tech to test its tool in a well at the test center.

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

    SciTech Connect (OSTI)

    Paul Tubel

    2005-05-08

    The development work during this quarter was focused in the test of the wireless gauge in a well. The tool was sent to Halliburton for a test. The company indicated that the test well was not available for 4 months and the company was not able to schedule a test of the wireless gauge in its test well. The tool was returned to Tubel Tech's facility in The Woodlands. Tubel Tech is looking for a new test well to deploy the wireless gauge to complete the requirements for the DOE.

  20. Downhole Power Generation and Wireless Communications for Intelligent Completions Applications

    SciTech Connect (OSTI)

    Paul Tubel

    2005-11-07

    Tubel Tech has been working with the DoE Rocky Mountain test center to create a CRADA which will allow Tubel Tech to test its wireless gauge in a well at the test center. The CRADA agreement should be completed by the next quarter and Tubel Tech expects to perform the final test on this project during the next quarter as well. The wireless gauge has not been modified or upgraded during this report period.

  1. Generation of Simulated Wind Data using an Intelligent Algorithm

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing(Journal Article) |productionPatent:Compression (Journal Article) | SciTech(Conference)

  2. Efficient XML-to-SQL Query Translation: Where to Add the Intelligence?

    E-Print Network [OSTI]

    Pennsylvania, University of

    Efficient XML-to-SQL Query Translation: Where to Add the Intelligence? Rajasekar Krishnamurthy of queries generated by XML to SQL translation. We first show that published XML-to-SQL query translation algo- rithms are suboptimal in that they often trans- late simple path expressions into complex SQL

  3. Personalized Information Management for Web Intelligence

    E-Print Network [OSTI]

    Tan, Ah-Hwee

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

  4. 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

  5. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  6. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Koch, Christof

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

  9. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  10. Intelligence team given national honor

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATION PLANIs gravityIntellectual Property AgreementIntelligence

  11. Emotional Computation in Artificial Intelligence Education Sara Owsley Sood

    E-Print Network [OSTI]

    Bustamante, Fabián E.

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

  12. One Decade of Universal Artificial Intelligence Marcus Hutter

    E-Print Network [OSTI]

    Hutter, Marcus

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

  13. Combining Audio-based Similarity with Web-based Data to Accelerate Automatic Music Playlist Generation

    E-Print Network [OSTI]

    Widmer, Gerhard

    Generation Peter Knees1 , Tim Pohle1 , Markus Schedl1 , and Gerhard Widmer1,2 1 Department of Computational Intelligence (OFAI) peter.knees@jku.at, tim.pohle@jku.at, markus.schedl@jku.at, gerhard.widmer@jku.at ABSTRACT from intelligent structuring of audio collections. While the original approach involves the calculation

  14. Combining Audiobased Similarity with Webbased Data to Accelerate Automatic Music Playlist Generation

    E-Print Network [OSTI]

    Widmer, Gerhard

    Generation Peter Knees 1 , Tim Pohle 1 , Markus Schedl 1 , and Gerhard Widmer 1,2 1 Department Intelligence (OFAI) peter.knees@jku.at, tim.pohle@jku.at, markus.schedl@jku.at, gerhard.widmer@jku.at ABSTRACT from intelligent structuring of audio collections. While the original approach involves the calculation

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

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

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

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1995-01-01

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

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

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1997-01-01

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

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

    E-Print Network [OSTI]

    Huang, Lili

    2010-01-01

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

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

    E-Print Network [OSTI]

    Rosenberg, Steven

    2011-01-01

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

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

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

  1. Projective simulation for artificial intelligence

    E-Print Network [OSTI]

    Hans J. Briegel; Gemma De las Cuevas

    2013-02-08

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

  2. Content Analysis for Proactive Protective Intelligence

    SciTech Connect (OSTI)

    Sanfilippo, Antonio P.

    2010-12-15

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

  3. 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

  4. "Intelligent systems for healthcare and robotics"

    E-Print Network [OSTI]

    Zhigilei, Leonid V.

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

  5. Quantization of Games: Towards Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Katarzyna Miakisz; Edward W. Piotrowski; Jan Sladkowski

    2004-12-30

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

  6. Performance Modeling of Intelligent Car Parking Systems

    E-Print Network [OSTI]

    Telek, Miklós

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

  7. Progressing for Intelligent to Smart Buildings 

    E-Print Network [OSTI]

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

    2013-01-01

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

  8. Building Grounded Abstractions for Artificial Intelligence Programming

    E-Print Network [OSTI]

    Hearn, Robert A.

    2004-06-16

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

  9. Developing Geospatial Intelligence Stewardship for Multinational Operations

    E-Print Network [OSTI]

    Thomas, Jeff

    2009-11-18

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

  10. Diophantine Generation,

    E-Print Network [OSTI]

    Shlapentokh, Alexandra

    Diophantine Generation, Horizontal and Vertical Problems, and the Weak Vertical Method Alexandra Shlapentokh Diophantine Sets, Definitions and Generation Diophantine Sets Diophantine Generation Properties of Diophantine Generation Diophantine Family of Z Diophantine Family of a Polynomial Ring Going Down Horizontal

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

    E-Print Network [OSTI]

    Huang, Yinlun

    2003-01-01

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

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

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

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

    E-Print Network [OSTI]

    Alippi, Cesare

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

  14. Neural Network Based Intelligent Sootblowing System

    SciTech Connect (OSTI)

    Mark Rhode

    2005-04-01

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

  15. On modeling and controlling intelligent systems

    SciTech Connect (OSTI)

    Dress, W.B.

    1993-11-01

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

  16. Abstract--Design of low-cost, miniature, lightweight, ultra low-power, intelligent sensors capable of

    E-Print Network [OSTI]

    Milenkovi, Aleksandar

    1 of 4 Abstract--Design of low-cost, miniature, lightweight, ultra low-power, intelligent sensors promises a cost-effective, flexible platform that allows easy customization, run-time reconfiguration for hardware acceleration will increase reuse and alleviate costs of transition to a new generation of sensors

  17. Socially intelligent computing to support citizen science Kevin Crowston, PI Syracuse University School of Information Studies Grant 0968470

    E-Print Network [OSTI]

    Crowston, Kevin

    Socially intelligent computing to support citizen science Kevin Crowston, PI Syracuse University and enhance citizen science projects; ·Generate new models of SoCS that support large-scale public. Project plan Year 1: Survey and case studies of citizen science websites (completed) Year 2: Develop

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

    E-Print Network [OSTI]

    Pullokkaran, Laijo John

    2013-01-01

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

  19. Intelligent Light Control using Sensor Networks Vipul Singhvi

    E-Print Network [OSTI]

    Murphy, Robert F.

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

  20. Artificial Intelligence, Language and the Study of Knowledge

    E-Print Network [OSTI]

    Goldstein, Ira

    1975-07-01

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

  1. Artificial Intelligence Design for Real-time Strategy Games

    E-Print Network [OSTI]

    Ernst, Damien

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

  2. HandSkates : an apparatus for physically intelligent exercise

    E-Print Network [OSTI]

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

    2005-01-01

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

  3. Intelligence-policy relations and the problem of politicization

    E-Print Network [OSTI]

    Rovner, Joshua Randall

    2008-01-01

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

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

    E-Print Network [OSTI]

    Orkin, Jeffrey David

    2013-01-01

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

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

    E-Print Network [OSTI]

    Bryson, Joanna J.

    2001-09-01

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

  6. Distributed Generation

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

    Electricity, US Data. 6. Distributed Generation: Standby Generation and Cogeneration Ozz Energy Solutions, Inc. February 28 th , 2005. For more information about...

  7. Experimental Realization of Quantum Artificial Intelligence

    E-Print Network [OSTI]

    Li Zhaokai; Liu Xiaomei; Xu Nanyang; Du jiangfeng

    2014-10-04

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

  8. 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

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

    E-Print Network [OSTI]

    Huntbach, Matthew

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

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

    E-Print Network [OSTI]

    Durand, Frédo

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

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  12. ARTIFICIAL INTELLIGENCE 223 A Geometric Approach to Error

    E-Print Network [OSTI]

    Richardson, David

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

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

    E-Print Network [OSTI]

    Monderer, Dov

    2000-01-01

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

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

    E-Print Network [OSTI]

    Yoo, S. J. Ben

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

  15. Readings for Artificial Intelligence CS63 Fall 2007

    E-Print Network [OSTI]

    Meeden, Lisa A.

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

  16. Artificial Intelligence in the Factory of the Future

    E-Print Network [OSTI]

    Fox, Mark S.

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

  17. Artificial Intelligence for Engineering Design, Analysis and Manufacturing

    E-Print Network [OSTI]

    Yang, Maria

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

  18. ARTIFICIAL INTELLIGENCE Irish Al research pushes onto international stage

    E-Print Network [OSTI]

    Foley, Simon

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

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

    E-Print Network [OSTI]

    Fox, Mark S.

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

  20. Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy

    E-Print Network [OSTI]

    Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Intelligent Center Intelligent Transformer Monitoring System Utilizing Neuro-Fuzzy Technique Approach Final Project transformers and circuit breakers off-line, in order to assess whether the equipment is operating normally

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

    E-Print Network [OSTI]

    Nardini, Christine

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

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

    E-Print Network [OSTI]

    Holland, Simon

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

  3. INTELLIGENT HANDLING OF WEATHER FORECASTS Stephan Kerpedjiev

    E-Print Network [OSTI]

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

  4. Bright and dark sides of computational intelligence

    E-Print Network [OSTI]

    Wilamowski, Bogdan Maciej

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

  5. Intelligent Traffic Light Control Marco Wiering

    E-Print Network [OSTI]

    Utrecht, Universiteit

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

  6. TECHNISCHE UNIVERSIT AT DORTMUND REIHE COMPUTATIONAL INTELLIGENCE

    E-Print Network [OSTI]

    Witt, Carsten

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

  7. Copyright 2005 POSC Intelligent Oilfield Operations

    E-Print Network [OSTI]

    Brock, David

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

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

    E-Print Network [OSTI]

    Goshorn, Deborah Ellen

    2010-01-01

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

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

    E-Print Network [OSTI]

    Cook, Diane J.

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

  10. Generalized Intelligent States for Nonlinear Oscillators

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13

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

  11. Intelligent systems for the molecular biologist

    SciTech Connect (OSTI)

    Brutlag, D.L.

    1995-12-31

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

  12. Distributed generation

    SciTech Connect (OSTI)

    Ness, E.

    1999-09-02

    Distributed generation, locating electricity generators close to the point of consumption, provides some unique benefits to power companies and customers that are not available from centralized electricity generation. Photovoltaic (PV) technology is well suited to distributed applications and can, especially in concert with other distributed resources, provide a very close match to the customer demand for electricity, at a significantly lower cost than the alternatives. In addition to augmenting power from central-station generating plants, incorporating PV systems enables electric utilities to optimize the utilization of existing transmission and distribution.

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

    E-Print Network [OSTI]

    Minsky, Marvin

    1971-10-01

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

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

    E-Print Network [OSTI]

    Zhu, Zhigang

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Gustafsson, Torgny

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

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

    E-Print Network [OSTI]

    Chen, Chaur-Chin

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

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

    E-Print Network [OSTI]

    Eustice, Ryan

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

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

    E-Print Network [OSTI]

    Keil, David M.

    7. Distributed AI D. Keil Artificial Intelligence 10/13 1D. Keil Artificial Intelligence 7. Distributed AI 10/13 David M. Keil, Framingham State University CSCI 400 Artificial Intelligence 7 might (a) NAO or (b) Siri operate as a member of a team or network? D. Keil Artificial Intelligence 7

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

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

    2009-01-01

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

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

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

    1993-07-23

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

  3. Integrated intelligent systems in advanced reactor control rooms

    SciTech Connect (OSTI)

    Beckmeyer, R.R.

    1989-01-01

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

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

    E-Print Network [OSTI]

    Barash, Danny

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

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

    E-Print Network [OSTI]

    Godfrey, Michael W.

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

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

    SciTech Connect (OSTI)

    1996-01-16

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

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

    E-Print Network [OSTI]

    Karsai, Istvan

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

  8. Molecular Self-assembly-Based Language Generation Using the Hypernetwork Model: Design of DNA Computing Experiments

    E-Print Network [OSTI]

    Molecular Self-assembly-Based Language Generation Using the Hypernetwork Model: Design of DNA Intelligence Magazine, vol.3, no.3, pp.49-63, 2008. [4] Zhang, B.-T. and Park, C.-H., Self-assembling.-H., Lee, E.-S. and Zhang, B.-T., A hypernetwork memory-Based model of sentence learning and generation

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

    E-Print Network [OSTI]

    Nunn, Lisa Michele

    2009-01-01

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

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

    E-Print Network [OSTI]

    Jang, Jaehwi

    2008-01-01

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

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

    SciTech Connect (OSTI)

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

    2007-04-01

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

  12. SoCS: Socially intelligent computing to support citizen science The proposed research project will investigate the capabilities and potential of social computational

    E-Print Network [OSTI]

    Crowston, Kevin

    SoCS: Socially intelligent computing to support citizen science The proposed research project production and innovation in citizen science projects; 2. generating new models of SoCS that support large includes case studies of several citizen science projects to establish the nature of the SoCS currently

  13. Next Generation Radioisotope Generators | Department of Energy

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

    Generators Next Generation Radioisotope Generators Advanced Stirling Radioisotope Generator (ASRG) - The ASRG is currently being developed as a high-efficiency RPS technology...

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

    E-Print Network [OSTI]

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

    2009-01-01

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

  15. Strategic Management for Real-Time Business Intelligence

    E-Print Network [OSTI]

    Palpanas, Themis

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

  16. Intelligent Predictive Control Methods for Synchronous Power System

    E-Print Network [OSTI]

    Rizvi, Syed Z.

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

  17. UncorrectedProof Computational Intelligence in Racing Games

    E-Print Network [OSTI]

    Togelius, Julian

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

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

    E-Print Network [OSTI]

    Sastry, S. Shankar

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

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

    E-Print Network [OSTI]

    Marques, Antonio Garcia

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

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

    E-Print Network [OSTI]

    Agogino, Alice M.

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

  1. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

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

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

    E-Print Network [OSTI]

    Taya, Minoru

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

  3. 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

  4. Intelligent Assistants for Filling Critical Gaps in GIS

    E-Print Network [OSTI]

    California at Santa Barbara, University of

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

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

    E-Print Network [OSTI]

    Rovatsos, Michael

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

  6. The Role of Artificial Intelligence in Software Engineering

    E-Print Network [OSTI]

    Harman, Mark

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

  7. Smart Grid Impact on Intelligent Buildings 

    E-Print Network [OSTI]

    Zimmer, R. J.

    2013-01-01

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

  8. US, Russian intelligence agencies offer proliferation assessments

    SciTech Connect (OSTI)

    Wolfsthal, J.B.

    1993-03-01

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

  9. Robotic Intelligent System | GE Global Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100NationalquestionnairesDrought-inducedPhotoRoboRAVE bringsIntelligent

  10. Robotics - Intelligence Kernel - Energy Innovation Portal

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100NationalquestionnairesDrought-inducedPhotoRoboRAVERobotics - Intelligence

  11. Intelligent hand-portable proliferation sensing system

    SciTech Connect (OSTI)

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

    1997-08-01

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

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

    E-Print Network [OSTI]

    Barshan, Billur

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

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

    E-Print Network [OSTI]

    Keil, David M.

    Summary D. Keil Artificial Intelligence 7/13 David M. Keil Framingham State University CSCI 300 Artificial Intelligence 1Special Topics: Artificial Intelligence 9. Summary 7/13D. Keil Summary Multi as part of a team 0f. Present results in the classroom 2Special Topics: Artificial Intelligence 9. Summary

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

    E-Print Network [OSTI]

    Hyvönen, Eero

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

  15. Photon generator

    DOE Patents [OSTI]

    Srinivasan-Rao, Triveni (Shoreham, NY)

    2002-01-01

    A photon generator includes an electron gun for emitting an electron beam, a laser for emitting a laser beam, and an interaction ring wherein the laser beam repetitively collides with the electron beam for emitting a high energy photon beam therefrom in the exemplary form of x-rays. The interaction ring is a closed loop, sized and configured for circulating the electron beam with a period substantially equal to the period of the laser beam pulses for effecting repetitive collisions.

  16. Cluster generator

    DOE Patents [OSTI]

    Donchev, Todor I. (Urbana, IL); Petrov, Ivan G. (Champaign, IL)

    2011-05-31

    Described herein is an apparatus and a method for producing atom clusters based on a gas discharge within a hollow cathode. The hollow cathode includes one or more walls. The one or more walls define a sputtering chamber within the hollow cathode and include a material to be sputtered. A hollow anode is positioned at an end of the sputtering chamber, and atom clusters are formed when a gas discharge is generated between the hollow anode and the hollow cathode.

  17. Electric generator

    DOE Patents [OSTI]

    Foster, Jr., John S. (Pleasanton, CA); Wilson, James R. (Livermore, CA); McDonald, Jr., Charles A. (Danville, CA)

    1983-01-01

    1. In an electrical energy generator, the combination comprising a first elongated annular electrical current conductor having at least one bare surface extending longitudinally and facing radially inwards therein, a second elongated annular electrical current conductor disposed coaxially within said first conductor and having an outer bare surface area extending longitudinally and facing said bare surface of said first conductor, the contiguous coaxial areas of said first and second conductors defining an inductive element, means for applying an electrical current to at least one of said conductors for generating a magnetic field encompassing said inductive element, and explosive charge means disposed concentrically with respect to said conductors including at least the area of said inductive element, said explosive charge means including means disposed to initiate an explosive wave front in said explosive advancing longitudinally along said inductive element, said wave front being effective to progressively deform at least one of said conductors to bring said bare surfaces thereof into electrically conductive contact to progressively reduce the inductance of the inductive element defined by said conductors and transferring explosive energy to said magnetic field effective to generate an electrical potential between undeformed portions of said conductors ahead of said explosive wave front.

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

    E-Print Network [OSTI]

    Schweizer, Paul

    2010-01-01

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

  19. Design Issues in Parallel Architecture for Artificial Intelligence

    E-Print Network [OSTI]

    Hewitt, Carl

    1983-11-01

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

  20. Artificial Intelligence and The Many Faces of Reason 

    E-Print Network [OSTI]

    Clark, Andy

    2003-01-01

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

  1. Wavelet and artificial intelligence application to automated fault analysis 

    E-Print Network [OSTI]

    Wang, Qilong

    2001-01-01

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

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

    E-Print Network [OSTI]

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

    2006-01-01

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

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

    E-Print Network [OSTI]

    Prothro, John Samuel

    2004-11-15

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

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

    E-Print Network [OSTI]

    Huandra, Rusli

    1998-01-01

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

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

    E-Print Network [OSTI]

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

    2002-01-01

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

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

    E-Print Network [OSTI]

    Pullela, Srinivasa

    2010-01-16

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

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

    E-Print Network [OSTI]

    Jurdy, Donna M.

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

  8. Automatic recognition codes for Intelligent Vehicle-Highway Systems 

    E-Print Network [OSTI]

    Leonardi, Pierre Charles Louis

    1994-01-01

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

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

    E-Print Network [OSTI]

    Rhodes, Dana Lanay

    2009-05-15

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

  10. Injection Molding at the MIT Artificial Intelligence Lab

    E-Print Network [OSTI]

    Binnard, Michael

    1995-02-23

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

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

    E-Print Network [OSTI]

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

    2004-01-01

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

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

    E-Print Network [OSTI]

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

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

  13. Electrical Design: A Problem for Artificial Intelligence Research

    E-Print Network [OSTI]

    Sussman, Gerald Jay

    1977-06-01

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

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

    DOE Patents [OSTI]

    Goldsmith, Steven Y.

    2004-06-22

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

  15. GeoComputational Intelligence and High-Performance Geospatial Computing

    E-Print Network [OSTI]

    Guan, Qingfeng

    2011-11-16

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

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

    E-Print Network [OSTI]

    Underbrink, Alvin Joseph

    1988-01-01

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

  17. Use of artificial intelligence for process modeling and control 

    E-Print Network [OSTI]

    You, Yong

    1991-01-01

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

  18. 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

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

    E-Print Network [OSTI]

    Napp, Nils

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

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

    E-Print Network [OSTI]

    Lieberman, Henry

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

  1. Context generation in information retrieval

    E-Print Network [OSTI]

    Ruthven, I.G.

    Ruthven,I.G. Van Rijsbergen,C.J. Proceedings of the Ninth Florida Artificial Intelligence Research Symposium (Key West, Florida) pp 380-384

  2. A Generative Approach for Image-Based Modeling of Tumor Growth

    E-Print Network [OSTI]

    Golland, Polina

    A Generative Approach for Image-Based Modeling of Tumor Growth Bjoern H. Menze1,2 , Koen Van Golland1 1 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology University, Finland 5 Helsinki Institute for Information Technology HIIT, University of Helsinki, Finland 6

  3. Intelligent, self-contained robotic hand

    DOE Patents [OSTI]

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

    2007-01-30

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

  4. Intelligent composites and structures -- a review

    SciTech Connect (OSTI)

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

    1993-12-31

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

  5. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

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

    2001-11-14

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

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

    E-Print Network [OSTI]

    Bringsjord, Selmer

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

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

    E-Print Network [OSTI]

    Bauer, Deborah Susan

    2013-01-01

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

  8. Proceedings of the Workshop on software tools for distributed intelligent control systems

    SciTech Connect (OSTI)

    Herget, C.J. (ed.)

    1990-09-01

    The Workshop on Software Tools for Distributed Intelligent Control Systems was organized by Lawrence Livermore National Laboratory for the United States Army Headquarters Training and Doctrine Command and the Defense Advanced Research Projects Agency. The goals of the workshop were to the identify the current state of the art in tools which support control systems engineering design and implementation, identify research issues associated with writing software tools which would provide a design environment to assist engineers in multidisciplinary control design and implementation, formulate a potential investment strategy to resolve the research issues and develop public domain code which can form the core of more powerful engineering design tools, and recommend test cases to focus the software development process and test associated performance metrics. Recognizing that the development of software tools for distributed intelligent control systems will require a multidisciplinary effort, experts in systems engineering, control systems engineering, and compute science were invited to participate in the workshop. In particular, experts who could address the following topics were selected: operating systems, engineering data representation and manipulation, emerging standards for manufacturing data, mathematical foundations, coupling of symbolic and numerical computation, user interface, system identification, system representation at different levels of abstraction, system specification, system design, verification and validation, automatic code generation, and integration of modular, reusable code.

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

    E-Print Network [OSTI]

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

    2002-01-01

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

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

    E-Print Network [OSTI]

    Minsky, Marvin

    1970-12-01

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

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

    E-Print Network [OSTI]

    Todd, Kirsty

    2006-01-01

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

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

    E-Print Network [OSTI]

    Korkmaz, Ummugulsum

    2014-07-25

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

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

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

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

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

    E-Print Network [OSTI]

    Bryson, Joanna Joy, 1965-

    2001-01-01

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Agogino, Alice M.

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

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

    E-Print Network [OSTI]

    Powers, Robert

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

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  19. Cultural intelligence support for military operations

    SciTech Connect (OSTI)

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

    2010-04-08

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

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

    SciTech Connect (OSTI)

    Gonder, J.

    2011-11-01

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

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

    E-Print Network [OSTI]

    Agogino, Alice M.

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

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

    E-Print Network [OSTI]

    Carneiro, Gustavo

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

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

    E-Print Network [OSTI]

    Chow, Mo-Yuen

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

  4. 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

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

    E-Print Network [OSTI]

    Caduff, David

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

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

    SciTech Connect (OSTI)

    Harber, K.S.

    1991-09-01

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

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

    E-Print Network [OSTI]

    Bull, Susan

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Holder, Lawrence B.

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

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

    E-Print Network [OSTI]

    Knill, Oliver

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

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

    E-Print Network [OSTI]

    Weitzenfeld, Alfredo

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

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

    E-Print Network [OSTI]

    Fatkullin, Ibrahim

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

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

    E-Print Network [OSTI]

    Bull, Susan

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2000-01-01

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

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

    E-Print Network [OSTI]

    Wiederhold, Gio

    1 for ISMIS­91 The Roles of Artificial Intelligence in Information Systems Gio Wiederhold Stanford are suitable for artificial intelligence approaches we outline an architectural structure for large systems. In that structure processing modules become specialized. We argue that artificial intelligence programs should

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Crabbe, Frederick

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

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    2007-01-01

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

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

    E-Print Network [OSTI]

    Indiana University

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Nie, Qing

    2009-01-01

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

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

    E-Print Network [OSTI]

    St Andrews, University of

    2003-01-01

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

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

    E-Print Network [OSTI]

    Spector, Lee

    2006-01-01

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

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

    E-Print Network [OSTI]

    Cao, Longbing

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

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

    E-Print Network [OSTI]

    Greenberg, Harvey J.

    2000-01-01

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

  7. Understanding Civil War Violence through Military Intelligence: Mining Civilian Targeting Records from the Vietnam War

    E-Print Network [OSTI]

    Douglass, Rex W

    2015-01-01

    Military intelligence is underutilized in the study of civil war violence. Declassified records are hard to acquire and difficult to explore with the standard econometrics toolbox. I investigate a contemporary government database of civilians targeted during the Vietnam War. The data are detailed, with up to 45 attributes recorded for 73,712 individual civilian suspects. I employ an unsupervised machine learning approach of cleaning, variable selection, dimensionality reduction, and clustering. I find support for a simplifying typology of civilian targeting that distinguishes different kinds of suspects and different kinds targeting methods. The typology is robust, successfully clustering both government actors and rebel departments into groups that mirror their known functions. The exercise highlights methods for dealing with high dimensional found conflict data. It also illustrates how aggregating measures of political violence masks a complex underlying empirical data generating process as well as a comple...

  8. Generators, Recursion, and Fractals 1 Generators

    E-Print Network [OSTI]

    Verschelde, Jan

    Generators, Recursion, and Fractals 1 Generators computing a list of Fibonacci numbers defining a generator with yield putting yield in the function fib 2 Recursive Functions computing factorials, 24 April 2015 Intro to Computer Science (MCS 260) generators and recursion L-41 24 April 2015 1 / 36

  9. Generalized Intelligent States for an Arbitrary Quantum System

    E-Print Network [OSTI]

    A. H. EL Kinani; M. Daoud

    2003-11-06

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

  10. Computers for artificial intelligence a technology assessment and forecast

    SciTech Connect (OSTI)

    Miller, R.K.

    1986-01-01

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

  11. Intelligent electrical outlet for collective load control

    DOE Patents [OSTI]

    Lentine, Anthony L.; Ford, Justin R.; Spires, Shannon V.; Goldsmith, Steven Y.

    2015-10-27

    Various technologies described herein pertain to an electrical outlet that autonomously manages loads in a microgrid. The electrical outlet can provide autonomous load control in response to variations in electrical power generation supply in the microgrid. The electrical outlet includes a receptacle, a sensor operably coupled to the receptacle, and an actuator configured to selectively actuate the receptacle. The sensor measures electrical parameters at the receptacle. Further, a processor autonomously controls the actuator based at least in part on the electrical parameters measured at the receptacle, electrical parameters from one or more disparate electrical outlets in the microgrid, and a supply of generated electric power in the microgrid at a given time.

  12. Intelligent electrical outlet for collective load control

    DOE Patents [OSTI]

    Lentine, Anthony L; Ford, Justin R; Spires, Shannon V; Goldsmith, Steven Y

    2015-11-05

    Various technologies described herein pertain to an electrical outlet that autonomously manages loads in a microgrid. The electrical outlet can provide autonomous load control in response to variations in electrical power generation supply in the microgrid. The electrical outlet includes a receptacle, a sensor operably coupled to the receptacle, and an actuator configured to selectively actuate the receptacle. The sensor measures electrical parameters at the receptacle. Further, a processor autonomously controls the actuator based at least in part on the electrical parameters measured at the receptacle, electrical parameters from one or more disparate electrical outlets in the microgrid, and a supply of generated electric power in the microgrid at a given time.

  13. Aggregation improves learning: experiments in natural language generation for intelligent tutoring systems

    E-Print Network [OSTI]

    . #12;Figure 1: The furnace system Fig. 1 shows the furnace, one subsystem of the home heating system

  14. Next generation business intelligence software, areas for growth & opportunities for innovation

    E-Print Network [OSTI]

    Bashir, Yusuf

    2011-01-01

    In today's world, as the volume of business and consumer data continues to grow at an unprecedented pace, there is increasing desire to utilize that data in new and innovative and ways to provide insight and improve decision ...

  15. Intelligence Sixth-generation Computer Technology Series. John Wiley, New York, pp. 211229.

    E-Print Network [OSTI]

    Yu, K.N.

    , Paul K.S. Lam b a Department of Physics and Materials Science, City University of Hong Kong, Tat Chee in some incidents) (Chen and Chou, 1998; also see review by Bricelj and Shumway, 1998). Paralytic

  16. Understanding and Managing Generation Y

    E-Print Network [OSTI]

    Wallace, Kevin

    2007-12-14

    There are four generations in the workplace today; they consist of the Silent Generation, Baby Boom Generation, Generation X, and Generation Y. Generation Y, being the newest generation, is the least understood generation although marketers...

  17. 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

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

    SciTech Connect (OSTI)

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

    2010-05-24

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

  19. 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

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

    E-Print Network [OSTI]

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

  1. Copyright 2000 FT Asia Intelligence Wire All rights reserved

    E-Print Network [OSTI]

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

  2. 10.2417/1200402.0003 Ambient intelligence for smart

    E-Print Network [OSTI]

    Rutishauser, Ueli

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

  3. 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

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

    E-Print Network [OSTI]

    Ras, Zbigniew W.

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

  5. Designing Intelligent Agents Tutorial 1: Java Agent Package

    E-Print Network [OSTI]

    Alechina, Natasha

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

  6. 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

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

    E-Print Network [OSTI]

    Squicciarini, Anna Cinzia

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

  8. 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

  9. ROBUST INTELLIGENT CONTROL OF SMALL-SCALE MECHATRONIC DEVICES

    E-Print Network [OSTI]

    Efe, Mehmet Önder

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

  10. 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

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    in the industry toward smart wells, intelligent fields and real-time analysis and interpretation of large amounts multi-lateral drilling design and implementation, log interpretation, the building of geologic models, well test design, implementation and interpretation, reservoir modeling, and simulation are being

  12. 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

  13. 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

  14. Beyond ERP: Towards Intelligent Manufacturing Planning and Control

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

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

  15. 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

  16. 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

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

    E-Print Network [OSTI]

    Bressan, Stéphane

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

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

    E-Print Network [OSTI]

    Xing, Guoliang

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

  19. Access via Science Online Site Pass ARTIFICIAL INTELLIGENCE

    E-Print Network [OSTI]

    Duckett, Tom

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

  20. Computer Science and Artificial Intelligence Laboratory Technical Report

    E-Print Network [OSTI]

    Poggio, Tomaso

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

  3. FUTURE POWER GRID INITIATIVE An Intelligent Agent Platform

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Dascalu, Sergiu

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

  5. 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

  6. Associations amongst emotional intelligence, personality and reaction times 

    E-Print Network [OSTI]

    Lau, Michelle

    2008-06-27

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

  7. ARTIFICIAL INTELLIGENCE 121 Interpreting Pictures of Polyhedral Scenes*

    E-Print Network [OSTI]

    Mackworth, Alan K.

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

  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. Sensor Networks Challenges for Intelligent Buildings Alberto Eduardo Cerpa

    E-Print Network [OSTI]

    Cerpa, Alberto E.

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

  11. Generation gaps in engineering?

    E-Print Network [OSTI]

    Kim, David J. (David Jinwoo)

    2008-01-01

    There is much enthusiastic debate on the topic of generation gaps in the workplace today; what the generational differences are, how to address the apparent challenges, and if the generations themselves are even real. ...

  12. Small Generator Aggregation (Maine)

    Broader source: Energy.gov [DOE]

    This section establishes requirements for electricity providers to purchase electricity from small generators, with the goal of ensuring that small electricity generators (those with a nameplate...

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

    E-Print Network [OSTI]

    Jowers, Steven James

    1989-01-01

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

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

    E-Print Network [OSTI]

    Whitmer, Jeffrey M.

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

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

    E-Print Network [OSTI]

    Melbourne, University of

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Kamran, Emma Z

    2008-06-27

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

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

    E-Print Network [OSTI]

    Stalcup, Mary Margaret

    2009-01-01

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

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

    E-Print Network [OSTI]

    Heiser, Gernot

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

  20. 1.212J / ESD.221J An Introduction to Intelligent Transportation Systems, Spring 2003

    E-Print Network [OSTI]

    Sussman, Joseph

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

  1. Gamma ray generator

    DOE Patents [OSTI]

    Firestone, Richard B; Reijonen, Jani

    2014-05-27

    An embodiment of a gamma ray generator includes a neutron generator and a moderator. The moderator is coupled to the neutron generator. The moderator includes a neutron capture material. In operation, the neutron generator produces neutrons and the neutron capture material captures at least some of the neutrons to produces gamma rays. An application of the gamma ray generator is as a source of gamma rays for calibration of gamma ray detectors.

  2. Generation to Generation: The Heart of Family Medicine

    E-Print Network [OSTI]

    Winter, Robin O

    2012-01-01

    Ageism in the Workplace. Generations Spring, 5. Westman,of caring for multiple generations simultaneously. StronglyGeneration to Generation: The Heart of Family Medicine

  3. Cylindrical neutron generator

    DOE Patents [OSTI]

    Leung, Ka-Ngo (Hercules, CA)

    2009-12-29

    A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.

  4. Cylindrical neutron generator

    DOE Patents [OSTI]

    Leung, Ka-Ngo (Hercules, CA)

    2008-04-22

    A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.

  5. Cylindrical neutron generator

    DOE Patents [OSTI]

    Leung, Ka-Ngo

    2005-06-14

    A cylindrical neutron generator is formed with a coaxial RF-driven plasma ion source and target. A deuterium (or deuterium and tritium) plasma is produced by RF excitation in a cylindrical plasma ion generator using an RF antenna. A cylindrical neutron generating target is coaxial with the ion generator, separated by plasma and extraction electrodes which contain many slots. The plasma generator emanates ions radially over 360.degree. and the cylindrical target is thus irradiated by ions over its entire circumference. The plasma generator and target may be as long as desired. The plasma generator may be in the center and the neutron target on the outside, or the plasma generator may be on the outside and the target on the inside. In a nested configuration, several concentric targets and plasma generating regions are nested to increase the neutron flux.

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

    SciTech Connect (OSTI)

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

    2007-01-01

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

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

    E-Print Network [OSTI]

    Fellous, Jean-Marc

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

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

  10. New wave generation

    E-Print Network [OSTI]

    Mercier, Matthieu J.

    We present the results of a combined experimental and numerical study of the generation of internal waves using the novel internal wave generator design of Gostiaux et al. (Exp. Fluids, vol. 42, 2007, pp. 123–130). This ...

  11. features Utility Generator

    E-Print Network [OSTI]

    Chang, Shih-Fu

    #12;#12;#12;#12;features function utility Training Pool Utility Generator Per-frame function content utility classes utility classes utility Tree Decision Generator Module Utility Clustering Adaptive

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

    E-Print Network [OSTI]

    Johnson, Eric E.

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

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

    E-Print Network [OSTI]

    McClelland, James L. "Jay"

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

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

    E-Print Network [OSTI]

    Yao, Yiyu

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

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

    E-Print Network [OSTI]

    Regina, University of

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

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

    E-Print Network [OSTI]

    Parker, Gary B.

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Pavlovic, Vladimir

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

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

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

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

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

    E-Print Network [OSTI]

    Tanner, Herbert G.

    Intelligent Sensor Management in Nuclear Searches and Radiological Surveys A.V. Klimenko1 , W Special nuclear materials (SNMs) are weak emitters of radiation and are difficult to detect, especially developed intelligent sensor management strategies for nuclear search and radiological surveys

  1. Proceedingsof 2004 IEEEiRSJ InternationalConference on Intelligent Rob018 and Systems

    E-Print Network [OSTI]

    Shen, Wei-Min

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

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

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

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

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

    E-Print Network [OSTI]

    Kraus, Sarit

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

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

    E-Print Network [OSTI]

    Poggio, Tomaso

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

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

    E-Print Network [OSTI]

    Chater, Nick

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

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

    E-Print Network [OSTI]

    Bringsjord, Selmer

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

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

    E-Print Network [OSTI]

    Poggio, Tomaso

    1995-01-01

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

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

    E-Print Network [OSTI]

    Black, Paul E.

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

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

    E-Print Network [OSTI]

    Black, Paul E.

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

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

    E-Print Network [OSTI]

    Yao, Bin

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

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

    E-Print Network [OSTI]

    Jain, Raj

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

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

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

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

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

    SciTech Connect (OSTI)

    Scholtz, Jean; Endert, Alexander N.

    2014-08-01

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

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

    E-Print Network [OSTI]

    Würtz, Rolf P.

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Franek, Frantisek

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

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

    E-Print Network [OSTI]

    Franek, Frantisek

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

  18. 7 Evolution When we are looking for intelligent life outside the Earth, there is a funda-

    E-Print Network [OSTI]

    Ulmschneider, Peter

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

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

    E-Print Network [OSTI]

    Yao, Yiyu

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

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

    E-Print Network [OSTI]

    Peppas, Nicholas A.

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

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

    E-Print Network [OSTI]

    Katz, Jonathan I.

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

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

    E-Print Network [OSTI]

    Ghosh, Joydeep

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

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

    E-Print Network [OSTI]

    Ghosh, Joydeep

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

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

    E-Print Network [OSTI]

    2004-01-01

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

  5. Generating Functions Introduction

    E-Print Network [OSTI]

    Gould, Ron

    CHAPTER 10 Ordinary Generating Functions Introduction We'll begin this chapter by introducing the notion of ordinary generating functions and discussing the basic techniques for manipulating them must master these basic ideas before reading further. In Section 2, we apply generating functions

  6. The Clemson First Generation

    E-Print Network [OSTI]

    Stuart, Steven J.

    The Clemson First Generation Success Program A First-RAte expeRience College is an experience college. First-generation college students are students whose parents do not hold a degree from a four-year college or university. Clemson is proud of its first- generation students and is committed

  7. Superconducting Power Generation

    E-Print Network [OSTI]

    Mario Rabinowitz

    2003-02-20

    The superconducting ac generator has the greatest potential for large-scale commercial application of superconductivity that can benefit the public. Electric power is a vital ingredient of modern society, and generation may be considered to be the vital ingredient of a power system. This articles gives background, and an insight into the physics and engineering of superconducting power generation.

  8. Mesh Generator Matthew Hanlon

    E-Print Network [OSTI]

    Nebel, Jean-Christophe

    1 Mesh Generator Matthew Hanlon 9804817 hanlonmj@dsc.gla.ac.uk Class CS4H Session 2002 from two dimensional slices. Medical data stored as sets of slices can be used to generate a three was developed with the following requirements: · Load a set of slices into the system · Generate a mesh for each

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

    E-Print Network [OSTI]

    Burgess, Greg

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

  10. 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

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

    E-Print Network [OSTI]

    Horvitz, Eric

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

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

    E-Print Network [OSTI]

    Theraulaz, Guy

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Tecuci, Gheorghe

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

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

    E-Print Network [OSTI]

    Knill, Oliver

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

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

    E-Print Network [OSTI]

    Napp, Nils

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

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

    E-Print Network [OSTI]

    Fong, Chi Chiu "Simon"

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

  18. LEXSYS: Architecture and Implication for Intelligent Agent systems

    E-Print Network [OSTI]

    Robert, Charles A B

    2010-01-01

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

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

    SciTech Connect (OSTI)

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

    2003-02-12

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

  20. Motor/generator

    DOE Patents [OSTI]

    Hickam, Christopher Dale (Glasford, IL)

    2008-05-13

    A motor/generator is provided for connecting between a transmission input shaft and an output shaft of a prime mover. The motor/generator may include a motor/generator housing, a stator mounted to the motor/generator housing, a rotor mounted at least partially within the motor/generator housing and rotatable about a rotor rotation axis, and a transmission-shaft coupler drivingly coupled to the rotor. The transmission-shaft coupler may include a clamp, which may include a base attached to the rotor and a plurality of adjustable jaws.

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

    SciTech Connect (OSTI)

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

    2010-04-30

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

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

    SciTech Connect (OSTI)

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

    2008-05-31

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

  3. The second generation of electronic diesel fuel injection systems - Investigation with a rotary pump

    SciTech Connect (OSTI)

    Yamada, K.; Oshizawa, H.

    1986-01-01

    This paper describes concepts of the next generation of electronic diesel fuel injection (EDFI) systems, and the test results of the prototype, named ''Model-1.'' Important characteristics of the next generation of EDFI will be; mechanical simplicity, direct control and pump intelligence. Direct spill control using a high speed solenoid valve for injection regulation and pump mounted electronic circuits were used in the ''Model-1'' system. The test results demonstrate the advantages of this system, and suggest possibilities of new function such as individual cylinder control, pilot injection and multi fuel usage.

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

    E-Print Network [OSTI]

    Idaho, University of

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

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

    E-Print Network [OSTI]

    Elio, Renée

    2000-01-01

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

  6. Method of grid generation

    DOE Patents [OSTI]

    Barnette, Daniel W. (Veguita, NM)

    2002-01-01

    The present invention provides a method of grid generation that uses the geometry of the problem space and the governing relations to generate a grid. The method can generate a grid with minimized discretization errors, and with minimal user interaction. The method of the present invention comprises assigning grid cell locations so that, when the governing relations are discretized using the grid, at least some of the discretization errors are substantially zero. Conventional grid generation is driven by the problem space geometry; grid generation according to the present invention is driven by problem space geometry and by governing relations. The present invention accordingly can provide two significant benefits: more efficient and accurate modeling since discretization errors are minimized, and reduced cost grid generation since less human interaction is required.

  7. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, James E. (Simi Valley, CA)

    1987-01-01

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances.

  8. Steam generator support system

    DOE Patents [OSTI]

    Moldenhauer, J.E.

    1987-08-25

    A support system for connection to an outer surface of a J-shaped steam generator for use with a nuclear reactor or other liquid metal cooled power source is disclosed. The J-shaped steam generator is mounted with the bent portion at the bottom. An arrangement of elongated rod members provides both horizontal and vertical support for the steam generator. The rod members are interconnected to the steam generator assembly and a support structure in a manner which provides for thermal distortion of the steam generator without the transfer of bending moments to the support structure and in a like manner substantially minimizes forces being transferred between the support structure and the steam generator as a result of seismic disturbances. 4 figs.

  9. Thermophotovoltaic energy generation

    DOE Patents [OSTI]

    Celanovic, Ivan; Chan, Walker; Bermel, Peter; Yeng, Adrian Y. X.; Marton, Christopher; Ghebrebrhan, Michael; Araghchini, Mohammad; Jensen, Klavs F.; Soljacic, Marin; Joannopoulos, John D.; Johnson, Steven G.; Pilawa-Podgurski, Robert; Fisher, Peter

    2015-08-25

    Inventive systems and methods for the generation of energy using thermophotovoltaic cells are described. Also described are systems and methods for selectively emitting electromagnetic radiation from an emitter for use in thermophotovoltaic energy generation systems. In at least some of the inventive energy generation systems and methods, a voltage applied to the thermophotovoltaic cell (e.g., to enhance the power produced by the cell) can be adjusted to enhance system performance. Certain embodiments of the systems and methods described herein can be used to generate energy relatively efficiently.

  10. Fourth Generation Majorana Neutrinos

    E-Print Network [OSTI]

    Alexander Lenz; Heinrich Päs; Dario Schalla

    2012-05-02

    We investigate the possibility of a fourth sequential generation in the lepton sector. Assuming neutrinos to be Majorana particles and starting from a recent - albeit weak - evidence for a non-zero admixture of a fourth generation neutrino from fits to weak lepton and meson decays we discuss constraints from neutrinoless double beta decay, radiative lepton decay and like-sign dilepton production at hadron colliders. Also an idea for fourth generation neutrino mass model building is briefly outlined. Here we soften the large hierarchy of the neutrino masses within an extradimensional model that locates each generation on different lepton number violating branes without large hierarchies.

  11. SNE TRAFIC GENERATOR

    Energy Science and Technology Software Center (OSTI)

    003027MLTPL00 Network Traffic Generator for Low-rate Small Network Equipment Software  http://eln.lbl.gov/sne_traffic_gen.html 

  12. Renewable Electricity Generation

    SciTech Connect (OSTI)

    2012-09-01

    This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in renewable electricity generation technologies including solar, water, wind, and geothermal.

  13. Talkin’ Bout Wind Generation

    Office of Energy Efficiency and Renewable Energy (EERE)

    The amount of electricity generated by the wind industry started to grow back around 1999, and since 2007 has been increasing at a rapid pace.

  14. Next-generation transcriptome assembly

    E-Print Network [OSTI]

    Martin, Jeffrey A.

    2012-01-01

    technologies - the next generation. Nat Rev Genet 11, 31-algorithms for next-generation sequencing data. Genomicsassembly from next- generation sequencing data. Genome Res

  15. Integrated, Automated Distributed Generation Technologies Demonstration

    SciTech Connect (OSTI)

    Jensen, Kevin

    2014-09-30

    The purpose of the NETL Project was to develop a diverse combination of distributed renewable generation technologies and controls and demonstrate how the renewable generation could help manage substation peak demand at the ATK Promontory plant site. The Promontory plant site is located in the northwestern Utah desert approximately 25 miles west of Brigham City, Utah. The plant encompasses 20,000 acres and has over 500 buildings. The ATK Promontory plant primarily manufactures solid propellant rocket motors for both commercial and government launch systems. The original project objectives focused on distributed generation; a 100 kW (kilowatt) wind turbine, a 100 kW new technology waste heat generation unit, a 500 kW energy storage system, and an intelligent system-wide automation system to monitor and control the renewable energy devices then release the stored energy during the peak demand time. The original goal was to reduce peak demand from the electrical utility company, Rocky Mountain Power (RMP), by 3.4%. For a period of time we also sought to integrate our energy storage requirements with a flywheel storage system (500 kW) proposed for the Promontory/RMP Substation. Ultimately the flywheel storage system could not meet our project timetable, so the storage requirement was switched to a battery storage system (300 kW.) A secondary objective was to design/install a bi-directional customer/utility gateway application for real-time visibility and communications between RMP, and ATK. This objective was not achieved because of technical issues with RMP, ATK Information Technology Department’s stringent requirements based on being a rocket motor manufacturing facility, and budget constraints. Of the original objectives, the following were achieved: • Installation of a 100 kW wind turbine. • Installation of a 300 kW battery storage system. • Integrated control system installed to offset electrical demand by releasing stored energy from renewable sources during peak hours of the day. Control system also monitors the wind turbine and battery storage system health, power output, and issues critical alarms. Of the original objectives, the following were not achieved: • 100 kW new technology waste heat generation unit. • Bi-directional customer/utility gateway for real time visibility and communications between RMP and ATK. • 3.4% reduction in peak demand. 1.7% reduction in peak demand was realized instead.

  16. Laser beam generating apparatus

    DOE Patents [OSTI]

    Warner, B.E.; Duncan, D.B.

    1994-02-15

    Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus is described. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect). 7 figures.

  17. Solid aerosol generator

    DOE Patents [OSTI]

    Prescott, D.S.; Schober, R.K.; Beller, J.

    1992-03-17

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration is disclosed. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.

  18. Improved solid aerosol generator

    DOE Patents [OSTI]

    Prescott, D.S.; Schober, R.K.; Beller, J.

    1988-07-19

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.

  19. Wroclaw neutrino event generator

    E-Print Network [OSTI]

    Jaroslaw A. Nowak

    2006-07-07

    A neutrino event generator developed by the Wroclaw Neutrino Group is described. The physical models included in the generator are discussed and illustrated with the results of simulations. The considered processes are quasi-elastic scattering and pion production modelled by combining the $\\Delta$ resonance excitation and deep inelastic scattering.

  20. Internal split field generator

    DOE Patents [OSTI]

    Thundat; Thomas George (Knoxville, TN); Van Neste, Charles W. (Kingston, TN); Vass, Arpad Alexander (Oak Ridge, TN)

    2012-01-03

    A generator includes a coil of conductive material. A stationary magnetic field source applies a stationary magnetic field to the coil. An internal magnetic field source is disposed within a cavity of the coil to apply a moving magnetic field to the coil. The stationary magnetic field interacts with the moving magnetic field to generate an electrical energy in the coil.

  1. Laser beam generating apparatus

    DOE Patents [OSTI]

    Warner, B.E.; Duncan, D.B.

    1993-12-28

    Laser beam generating apparatus including a septum segment disposed longitudinally within the tubular structure of the apparatus. The septum provides for radiatively dissipating heat buildup within the tubular structure and for generating relatively uniform laser beam pulses so as to minimize or eliminate radial pulse delays (the chevron effect). 11 figures.

  2. Computational Intelligence for Deepwater Reservoir Depositional Environments Interpretation

    E-Print Network [OSTI]

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

    2013-01-01

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

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

    E-Print Network [OSTI]

    Diederik Aerts; Marek Czachor; Sandro Sozzo

    2011-04-17

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

  4. Vibration Harvesting using Electromagnetic Transduction

    E-Print Network [OSTI]

    Waterbury, Andrew

    2011-01-01

    powered generator for intelligent sensor systems,” Sensorspowered generator for intelligent sensor systems,” Sensors

  5. Adaptive load control of microgrids with non-dispatchable generation

    E-Print Network [OSTI]

    Brokish, Kevin Martin

    2009-01-01

    Intelligent appliances have a great potential to provide energy storage and load shedding for power grids. Microgrids are simulated with high levels of wind energy penetration. Frequency-adaptive intelligent appliances are ...

  6. Compact neutron generator

    DOE Patents [OSTI]

    Leung, Ka-Ngo; Lou, Tak Pui

    2005-03-22

    A compact neutron generator has at its outer circumference a toroidal shaped plasma chamber in which a tritium (or other) plasma is generated. A RF antenna is wrapped around the plasma chamber. A plurality of tritium ion beamlets are extracted through spaced extraction apertures of a plasma electrode on the inner surface of the toroidal plasma chamber and directed inwardly toward the center of neutron generator. The beamlets pass through spaced acceleration and focusing electrodes to a neutron generating target at the center of neutron generator. The target is typically made of titanium tubing. Water is flowed through the tubing for cooling. The beam can be pulsed rapidly to achieve ultrashort neutron bursts. The target may be moved rapidly up and down so that the average power deposited on the surface of the target may be kept at a reasonable level. The neutron generator can produce fast neutrons from a T-T reaction which can be used for luggage and cargo interrogation applications. A luggage or cargo inspection system has a pulsed T-T neutron generator or source at the center, surrounded by associated gamma detectors and other components for identifying explosives or other contraband.

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

    E-Print Network [OSTI]

    Claridge, D. E.; Gong, X.

    2008-01-01

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

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

    E-Print Network [OSTI]

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

    2005-01-01

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

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

    E-Print Network [OSTI]

    Singh, Harkirat

    2004-09-30

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

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

    E-Print Network [OSTI]

    Zhao, Z.; Xiong, Y.

    2004-01-01

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

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

    E-Print Network [OSTI]

    Schmidt, F.; Neumann, C.

    2008-01-01

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

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

    E-Print Network [OSTI]

    Dodder, Rebecca Susanne

    2006-01-01

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

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

    E-Print Network [OSTI]

    Palladina, Jessica

    2008-12-04

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

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

    E-Print Network [OSTI]

    Levitin, Daniel

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Owladeghaffari, Hamed

    2008-01-01

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

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

    E-Print Network [OSTI]

    Reyes, Eumir P. (Eumir Paulo Reyes Morales)

    2010-01-01

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

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

    E-Print Network [OSTI]

    Borissova, Daniela

    4 8 A Technology for Electronic Energy Meters Intelligent Accounting Using Distributed Database processing to allow the adequate information integration and resource control in the energy distribution the energy distribution enterprise information. Reading the electronic energy meters is made through

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

    E-Print Network [OSTI]

    Foen, Nancy (Nancy V.)

    2012-01-01

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

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

    E-Print Network [OSTI]

    Yang, Qiang

    2012-01-01

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

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

    E-Print Network [OSTI]

    Ochiai, Yukiko

    2011-07-04

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

  2. Graph Generator Survey

    SciTech Connect (OSTI)

    Lothian, Josh; Powers, Sarah S; Sullivan, Blair D; Baker, Matthew B; Schrock, Jonathan; Poole, Stephen W

    2013-12-01

    The benchmarking effort within the Extreme Scale Systems Center at Oak Ridge National Laboratory seeks to provide High Performance Computing benchmarks and test suites of interest to the DoD sponsor. The work described in this report is a part of the effort focusing on graph generation. A previously developed benchmark, SystemBurn, allowed the emulation of dierent application behavior profiles within a single framework. To complement this effort, similar capabilities are desired for graph-centric problems. This report examines existing synthetic graph generator implementations in preparation for further study on the properties of their generated synthetic graphs.

  3. Synthetic guide star generation

    DOE Patents [OSTI]

    Payne, Stephen A. (Castro Valley, CA) [Castro Valley, CA; Page, Ralph H. (Castro Valley, CA) [Castro Valley, CA; Ebbers, Christopher A. (Livermore, CA) [Livermore, CA; Beach, Raymond J. (Livermore, CA) [Livermore, CA

    2008-06-10

    A system for assisting in observing a celestial object and providing synthetic guide star generation. A lasing system provides radiation at a frequency at or near 938 nm and radiation at a frequency at or near 1583 nm. The lasing system includes a fiber laser operating between 880 nm and 960 nm and a fiber laser operating between 1524 nm and 1650 nm. A frequency-conversion system mixes the radiation and generates light at a frequency at or near 589 nm. A system directs the light at a frequency at or near 589 nm toward the celestial object and provides synthetic guide star generation.

  4. Synthetic guide star generation

    SciTech Connect (OSTI)

    Payne, Stephen A.; Page, Ralph H.; Ebbers, Christopher A.; Beach, Raymond J.

    2004-03-09

    A system for assisting in observing a celestial object and providing synthetic guide star generation. A lasing system provides radiation at a frequency at or near 938 nm and radiation at a frequency at or near 1583 nm. The lasing system includes a fiber laser operating between 880 nm and 960 nm and a fiber laser operating between 1524 nm and 1650 nm. A frequency-conversion system mixes the radiation and generates light at a frequency at or near 589 nm. A system directs the light at a frequency at or near 589 nm toward the celestial object and provides synthetic guide star generation.

  5. Intelligent mobile sensor system for drum inspection and monitoring: Topical report, October 1, 1993--April 22, 1995

    SciTech Connect (OSTI)

    1997-04-01

    The objective of the Intelligent Mobile Sensor System (IMSS) project is to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The system has an integrated sensor suite for problem-drum detection, and is linked to a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase two is now complete. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project. This report summarizes the design and evaluation of the new IMSS Phase 2 system and vehicle. Several parts of the IMSS Phase 1 Topical (Final) Report, which describes the requirements, design guidelines, and detailed design of the Phase 1 IMSS vehicle, are incorporated here, with modifications to reflect the changes in the design and the new elements added during the Phase 2 work.

  6. Intelligent Mobile Sensor System for drum inspection and monitoring -- Volume 1. Final report, October 1, 1993--April 22, 1995

    SciTech Connect (OSTI)

    1995-12-31

    The objective of the Intelligent Mobile Sensor System (IMSS) project is to develop an operational system for monitoring and inspection activities for waste storage facility operations at several DOE sites. Specifically, the product of this effort is a robotic device with enhanced intelligence and maneuverability capable of conducting routine inspection of stored waste drums. The device is capable of operating in the narrow free aisle space between rows of stacked drums. The system has an integrated sensor suite for problem-drum detection, and is linked to a site database both for inspection planning and for data correlation, updating, and report generation. The system is capable of departing on an assigned mission, collecting required data, recording which portions of its mission had to be aborted or modified due to environmental constraints, and reporting back when the mission is complete. Successful identification of more than 96% of drum defects has been demonstrated in a high fidelity waste storage facility mockup. Identified anomalies included rust spots, rust streaks, areas of corrosion, dents, and tilted drums. All drums were positively identified and correlated with the site database. This development effort is separated into three phases of which phase two is now complete. The first phase demonstrated an integrated system (maturity level IVa) for monitoring and inspection activities for waste storage facility operations. The second phase demonstrated a prototype system appropriate for operational use in an actual storage facility. The prototype provides an integrated design that considers operational requirements, hardware costs, maintenance, safety, and robustness. The final phase will demonstrate commercial viability using the prototype vehicle in a pilot waste operations and inspection project. This report summarizes the design and evaluation of the new IMSS Phase 2 system and vehicle.

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

    E-Print Network [OSTI]

    A. H. El Kinani; M. Daoud

    2003-12-13

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

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

    SciTech Connect (OSTI)

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

    2008-10-07

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

  9. Energy and Mass Generation

    E-Print Network [OSTI]

    Burra G. Sidharth

    2010-03-11

    Modifications in the energy momentum dispersion laws due to a noncommutative geometry, have been considered in recent years. We examine the oscillations of extended objects in this perspective and find that there is now a "generation" of energy.

  10. QCD Event Generators

    E-Print Network [OSTI]

    I. G. Knowles; T. Sjostrand; A. Blondel; A. Boehrer; C. D. Buchanan; D. G. Charlton; S. -L. Chu; S. Chun; G. Dissertori; D. Duchesneau; J. W. Gary; M. Gibbs; A. Grefrath; G. Gustafson; J. Hakkinen; K. Hamacher; K. Kato; L. Lonnblad; W. Metzger; R. Moller; T. Munehisa; R. Odorico; Y. Pei; G. Rudolph; S. Sarkar; M. H. Seymour; J. C. Thompson; S. Todorova; B. R. Webber

    1996-01-04

    This report is a survey on QCD Event Generator issues of relevance for LEP 2. It contains four main sections: a summary of experience from LEP 1, extrapolations to LEP 2 energies, Monte Carlo descriptions and standardization issues.

  11. Contextualizing generative design

    E-Print Network [OSTI]

    Arida, Saeed, 1977-

    2004-01-01

    Generative systems have been widely used to produce two- and three-dimensional constructs, in an attempt to escape from our preconceptions and pre-existing spatial language. The challenge is to use this mechanism in ...

  12. Generating electricity from viruses

    ScienceCinema (OSTI)

    Lee, Seung-Wuk

    2014-06-23

    Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.

  13. Fourth Generation Bound States

    E-Print Network [OSTI]

    Koji Ishiwata; Mark B. Wise

    2011-05-25

    We investigate the spectrum and wave functions of {\\bar q}'q' bound states for heavy fourth generation quarks (q') that have a very small mixing with the three observed generations of standard model quarks. Such bound states come with different color, spin and flavor quantum numbers. Since the fourth generation Yukawa coupling, \\lambda_{q'}, is large we include all perturbative corrections to the potential between the heavy quark and antiquark of order \\lambda_{q'}^2N_c/16\\pi^2 where N_c is the number of colors, as well as relativistic corrections suppressed by (v/c)^2. We find that the lightest fourth generation quark masses for which a bound state exists for color octet states. For the the color singlet states, which always have a bound state, we analyze the influence that the Higgs couplings have on the size and binding energy of the bound states.

  14. Scram signal generator

    DOE Patents [OSTI]

    Johanson, Edward W. (New Lenox, IL); Simms, Richard (Westmont, IL)

    1981-01-01

    A scram signal generating circuit for nuclear reactor installations monitors a flow signal representing the flow rate of the liquid sodium coolant which is circulated through the reactor, and initiates reactor shutdown for a rapid variation in the flow signal, indicative of fuel motion. The scram signal generating circuit includes a long-term drift compensation circuit which processes the flow signal and generates an output signal representing the flow rate of the coolant. The output signal remains substantially unchanged for small variations in the flow signal, attributable to long term drift in the flow rate, but a rapid change in the flow signal, indicative of a fast flow variation, causes a corresponding change in the output signal. A comparator circuit compares the output signal with a reference signal, representing a given percentage of the steady state flow rate of the coolant, and generates a scram signal to initiate reactor shutdown when the output signal equals the reference signal.

  15. Vector generator scan converter

    DOE Patents [OSTI]

    Moore, James M. (Livermore, CA); Leighton, James F. (Livermore, CA)

    1990-01-01

    High printing speeds for graphics data are achieved with a laser printer by transmitting compressed graphics data from a main processor over an I/O (input/output) channel to a vector generator scan converter which reconstructs a full graphics image for input to the laser printer through a raster data input port. The vector generator scan converter includes a microprocessor with associated microcode memory containing a microcode instruction set, a working memory for storing compressed data, vector generator hardward for drawing a full graphic image from vector parameters calculated by the microprocessor, image buffer memory for storing the reconstructed graphics image and an output scanner for reading the graphics image data and inputting the data to the printer. The vector generator scan converter eliminates the bottleneck created by the I/O channel for transmitting graphics data from the main processor to the laser printer, and increases printer speed up to thirty fold.

  16. Vector generator scan converter

    DOE Patents [OSTI]

    Moore, J.M.; Leighton, J.F.

    1988-02-05

    High printing speeds for graphics data are achieved with a laser printer by transmitting compressed graphics data from a main processor over an I/O channel to a vector generator scan converter which reconstructs a full graphics image for input to the laser printer through a raster data input port. The vector generator scan converter includes a microprocessor with associated microcode memory containing a microcode instruction set, a working memory for storing compressed data, vector generator hardware for drawing a full graphic image from vector parameters calculated by the microprocessor, image buffer memory for storing the reconstructed graphics image and an output scanner for reading the graphics image data and inputting the data to the printer. The vector generator scan converter eliminates the bottleneck created by the I/O channel for transmitting graphics data from the main processor to the laser printer, and increases printer speed up to thirty fold. 7 figs.

  17. Oscillating fluid power generator

    DOE Patents [OSTI]

    Morris, David C

    2014-02-25

    A system and method for harvesting the kinetic energy of a fluid flow for power generation with a vertically oriented, aerodynamic wing structure comprising one or more airfoil elements pivotably attached to a mast. When activated by the moving fluid stream, the wing structure oscillates back and forth, generating lift first in one direction then in the opposite direction. This oscillating movement is converted to unidirectional rotational movement in order to provide motive power to an electricity generator. Unlike other oscillating devices, this device is designed to harvest the maximum aerodynamic lift forces available for a given oscillation cycle. Because the system is not subjected to the same intense forces and stresses as turbine systems, it can be constructed less expensively, reducing the cost of electricity generation. The system can be grouped in more compact clusters, be less evident in the landscape, and present reduced risk to avian species.

  18. Generating electricity from viruses

    SciTech Connect (OSTI)

    Lee, Seung-Wuk

    2013-10-31

    Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.

  19. Biomass for Electricity Generation

    Reports and Publications (EIA)

    2002-01-01

    This paper examines issues affecting the uses of biomass for electricity generation. The methodology used in the National Energy Modeling System to account for various types of biomass is discussed, and the underlying assumptions are explained.

  20. Innovative Self- Generating Projects 

    E-Print Network [OSTI]

    Kelly, L.

    2013-01-01

    ? All rights reserved. Case Studies on Canadian Customer Generation Projects Innovative Self-Generation Projects Liam Kelly, M.A.Sc, CMVP Energy Engineer Willis Energy Services A CLEAResult company ESL-IE-13-05-06 Proceedings of the Thrity...-05-06 Proceedings of the Thrity-Fifth Industrial Energy Technology Conference New Orleans, LA. May 21-24, 2013 ? 2013 CLEAResult ? All rights reserved. Overcoming Challenges ? Look for innovative opportunities ? Leverage available incentives ? Quantify other...

  1. CHAPTER 3 APPROACHES TO INTELLIGENT ASSISTANCE 3.1 Introduction

    E-Print Network [OSTI]

    O'Connor, Rory

    RACE II project which examined the use of DSS technology to help users (suppliers of telecommunications provision. The project implemented the GSAC (Generation and Selection of Alternative Configurations

  2. 21SPIRAL LIBRARY GENERATOR SPIRAL: A GENERATOR FOR

    E-Print Network [OSTI]

    Moura, José

    21SPIRAL LIBRARY GENERATOR SPIRAL: A GENERATOR FOR PLATFORM-ADAPTED LIBRARIES OF SIGNAL PROCESSING Manuela Veloso6 Robert W. Johnson7 Abstract SPIRAL is a generator for libraries of fast software imple perform- ance of SPIRAL generated code. Key words: program generation, automatic performance tuning

  3. Generating a Generator Department of Computer and Information Sciences

    E-Print Network [OSTI]

    Gray, Jeffrey G.

    Generating a Generator Jeff Gray Department of Computer and Information Sciences University. A key to this future work will be the generation of a generator from an XML DTD or schema. 1 for crosscutting modeling concerns, a combination of an aspect-oriented [6] and generative programming [2] approach

  4. A KNOWLEDGE-BASED CODE GENERATOR GENERATOR Christopher W. Fraser %

    E-Print Network [OSTI]

    Fraser, Christopher W.

    A KNOWLEDGE-BASED CODE GENERATOR GENERATOR Christopher W. Fraser % Department of Computer Science a good local code generator for an ALGOL-like language. It is organized as a production system of rules generation of compilers. Automatic generation of some compiler modules is already available; for example

  5. Intelligence in Electricity Networks for Embedding Renewables and

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    . At the same time, introducing more combined heat and power generation (CHP) couples electricity production power systems of in- dustrialized economies have become one of the most complex systems created to heat demand patterns. Secondly, the location of electricity generation relative to the load centers

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

  7. Using Backup Generators: Choosing the Right Backup Generator...

    Energy Savers [EERE]

    overheated, which may cause the generator to fail. Make sure your generator produces more power than will be drawn by the electrical devices you connect to the generator, including...

  8. Superconducting thermoelectric generator

    DOE Patents [OSTI]

    Metzger, J.D.; El-Genk, M.S.

    1994-01-01

    Thermoelectricity is produced by applying a temperature differential to dissimilar electrically conducting or semiconducting materials, thereby producing a voltage that is proportional to the temperature difference. Thermoelectric generators use this effect to directly convert heat into electricity; however, presently-known generators have low efficiencies due to the production of high currents which in turn cause large resistive heating losses. Some thermoelectric generators operate at efficiencies between 4% and 7% in the 800{degrees} to 1200{degrees}C range. According to its major aspects and bradly stated, the present invention is an apparatus and method for producing electricity from heat. In particular, the invention is a thermoelectric generator that juxtaposes a superconducting material and a semiconducting material - so that the superconducting and the semiconducting materials touch - to convert heat energy into electrical energy without resistive losses in the temperature range below the critical temperature of the superconducting material. Preferably, an array of superconducting material is encased in one of several possible configurations within a second material having a high thermal conductivity, preferably a semiconductor, to form a thermoelectric generator.

  9. MHD Generating system

    DOE Patents [OSTI]

    Petrick, Michael (Joliet, IL); Pierson, Edward S. (Chicago, IL); Schreiner, Felix (Mokena, IL)

    1980-01-01

    According to the present invention, coal combustion gas is the primary working fluid and copper or a copper alloy is the electrodynamic fluid in the MHD generator, thereby eliminating the heat exchangers between the combustor and the liquid-metal MHD working fluids, allowing the use of a conventional coalfired steam bottoming plant, and making the plant simpler, more efficient and cheaper. In operation, the gas and liquid are combined in a mixer and the resulting two-phase mixture enters the MHD generator. The MHD generator acts as a turbine and electric generator in one unit wherein the gas expands, drives the liquid across the magnetic field and thus generates electrical power. The gas and liquid are separated, and the available energy in the gas is recovered before the gas is exhausted to the atmosphere. Where the combustion gas contains sulfur, oxygen is bubbled through a side loop to remove sulfur therefrom as a concentrated stream of sulfur dioxide. The combustor is operated substoichiometrically to control the oxide level in the copper.

  10. MCNP LWR Core Generator

    SciTech Connect (OSTI)

    Fischer, Noah A.

    2012-08-14

    The reactor core input generator allows for MCNP input files to be tailored to design specifications and generated in seconds. Full reactor models can now easily be created by specifying a small set of parameters and generating an MCNP input for a full reactor core. Axial zoning of the core will allow for density variation in the fuel and moderator, with pin-by-pin fidelity, so that BWR cores can more accurately be modeled. LWR core work in progress: (1) Reflectivity option for specifying 1/4, 1/2, or full core simulation; (2) Axial zoning for moderator densities that vary with height; (3) Generating multiple types of assemblies for different fuel enrichments; and (4) Parameters for specifying BWR box walls. Fuel pin work in progress: (1) Radial and azimuthal zoning for generating further unique materials in fuel rods; (2) Options for specifying different types of fuel for MOX or multiple burn assemblies; (3) Additional options for replacing fuel rods with burnable poison rods; and (4) Control rod/blade modeling.

  11. FIRST-GENERATION COLLEGE STUDENTS

    E-Print Network [OSTI]

    Su, Xiao

    FIRST-GENERATION COLLEGE STUDENTS PROGRAM AT SAN JOSÉ STATE UNIVERSITY INTERESTED IN PARTICIPATING OUR WEBSITE: sjsu.edu/studentaffairs/ current_students/first- generation/generate We are currently located in MOD A in the MOSAIC Cross- Cultural Center. Visit us today! WHAT IS GENERATE? GENERATE

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

    E-Print Network [OSTI]

    Hodota, Kenichi

    2006-01-01

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

  13. Thermoacoustic magnetohydrodynamic electrical generator

    SciTech Connect (OSTI)

    Wheatley, J.C.; Swift, G.W.; Migliori, A.

    1984-11-16

    A thermoacoustic magnetohydrodynamic electrical generator includes an intrinsically irreversible thermoacoustic heat engine coupled to a magnetohydrodynamic electrical generator. The heat engine includes an electrically conductive liquid metal as the working fluid and includes two heat exchange and thermoacoustic structure assemblies which drive the liquid in a push-pull arrangement to cause the liquid metal to oscillate at a resonant acoustic frequency on the order of 1000 Hz. The engine is positioned in the field of a magnet and is oriented such that the liquid metal oscillates in a direction orthogonal to the field of the magnet, whereby an alternating electrical potential is generated in the liquid metal. Low-loss, low-inductance electrical conductors electrically connected to opposite sides of the liquid metal conduct an output signal to a transformer adapted to convert the low-voltage, high-current output signal to a more usable higher voltage, lower current signal.

  14. Thermoacoustic magnetohydrodynamic electrical generator

    DOE Patents [OSTI]

    Wheatley, John C. (Los Alamos, NM); Swift, Gregory W. (Los Alamos, NM); Migliori, Albert (Santa Fe, NM)

    1986-01-01

    A thermoacoustic magnetohydrodynamic electrical generator includes an intrinsically irreversible thermoacoustic heat engine coupled to a magnetohydrodynamic electrical generator. The heat engine includes an electrically conductive liquid metal as the working fluid and includes two heat exchange and thermoacoustic structure assemblies which drive the liquid in a push-pull arrangement to cause the liquid metal to oscillate at a resonant acoustic frequency on the order of 1,000 Hz. The engine is positioned in the field of a magnet and is oriented such that the liquid metal oscillates in a direction orthogonal to the field of the magnet, whereby an alternating electrical potential is generated in the liquid metal. Low-loss, low-inductance electrical conductors electrically connected to opposite sides of the liquid metal conduct an output signal to a transformer adapted to convert the low-voltage, high-current output signal to a more usable higher voltage, lower current signal.

  15. Spherical neutron generator

    DOE Patents [OSTI]

    Leung, Ka-Ngo

    2006-11-21

    A spherical neutron generator is formed with a small spherical target and a spherical shell RF-driven plasma ion source surrounding the target. A deuterium (or deuterium and tritium) ion plasma is produced by RF excitation in the plasma ion source using an RF antenna. The plasma generation region is a spherical shell between an outer chamber and an inner extraction electrode. A spherical neutron generating target is at the center of the chamber and is biased negatively with respect to the extraction electrode which contains many holes. Ions passing through the holes in the extraction electrode are focused onto the target which produces neutrons by D-D or D-T reactions.

  16. Driving story generation with learnable character models

    E-Print Network [OSTI]

    Fay, Matthew Paul

    2014-01-01

    Stories are a ubiquitous part of the human experience and an essential component of human intelligence. Stories serve countless functions, working in tandem with our language facilities to enable communication, problem ...

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  18. Sidetone generator flowmeter

    DOE Patents [OSTI]

    Fritz, Robert J. (Schenectady, NY)

    1986-01-01

    A flowmeter is provided which uses the sidetones generated in a cavity formed in the wall of a flowpipe or the like in response to fluid flowing past the cavity to provide a measure of the flow velocity of that fluid. The dimensions of the cavity are such as to provide a dominant vibratory frequency which is sensed by a pressure sensor. The flowmeter is adapted for use for a range of frequencies in which the Strouhal number is constant and under these conditions the vibratory frequency is directly related to the flow rate. The tone generator cavity and pressure transducer form a unit which is connected in-line in the flowpipe.

  19. External split field generator

    DOE Patents [OSTI]

    Thundat, Thomas George (Knoxville, TN); Van Neste, Charles W. (Kingston, TN); Vass, Arpad Alexander (Oak Ridge, TN)

    2012-02-21

    A generator includes a coil disposed about a core. A first stationary magnetic field source may be disposed on a first end portion of the core and a second stationary magnetic field source may be disposed on a second end portion of core. The first and second stationary magnetic field sources apply a stationary magnetic field to the coil. An external magnetic field source may be disposed outside the coil to apply a moving magnetic field to the coil. Electrical energy is generated in response to an interaction between the coil, the moving magnetic field, and the stationary magnetic field.

  20. Quantum random number generator

    E-Print Network [OSTI]

    M. Stipcevic; B. Medved Rogina

    2007-01-01

    We report upon a novel principle for realization of a fast nondeterministic random number generator whose randomness relies on intrinsic randomness of the quantum physical processes of photonic emission in semiconductors and subsequent detection by the photoelectric effect. Timing information of detected photons is used to generate binary random digits-bits. The bit extraction method based on restartable clock theoretically eliminates both bias and autocorrelation while reaching efficiency of almost 0.5 bits per random event. A prototype has been built and statistically tested.