National Library of Energy BETA

Sample records for intelligence cxs applied

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

    E-Print Network [OSTI]

    Luck, Michael

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

  2. 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

  3. 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

  4. 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

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

    E-Print Network [OSTI]

    Bernstein, R.

    2010-01-01

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

  6. Apply

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

    Apply Application Process Bringing together top, space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere....

  7. Artificial Intelligence Intelligent Agents

    E-Print Network [OSTI]

    Voris, Jonathan

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

  8. Apply

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D SFederal FacilityApplicantOffice ofApply Application

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

    SciTech Connect (OSTI)

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

    2006-07-01

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

  10. 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

  11. 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...

  12. 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

  13. 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 ...

  14. 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

  15. 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 ...

  16. 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...

  17. 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

  18. Applied Intelligence The International Journal of Artificial

    E-Print Network [OSTI]

    Potter, Don

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

  19. 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

  20. 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.

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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...

  7. CX-010926: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition, and Decision... CX(s) Applied: A9 Date: 09/25/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  8. CX-010927: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Integrated Biomimetic Framework with Intelligent Monitoring, Cognition, and Decision... CX(s) Applied: A9 Date: 09/25/2013 Location(s): Illinois Offices(s): National Energy Technology Laboratory

  9. 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

  10. 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

  11. 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

  12. 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 ...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and 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

  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 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

  6. 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

  7. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL and 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

  8. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  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 research done at the Center for Biological & Computational Learning and the Artificial Intelligence

  10. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  11. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  12. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY

    E-Print Network [OSTI]

    Poggio, Tomaso

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

  13. 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

  14. Creating an intelligent agent for StarCraft: Brood War

    E-Print Network [OSTI]

    Ernst, Damien

    Creating an intelligent agent for StarCraft: Brood War University of 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

  15. 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

  16. 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

  17. gifted.msu.edu Apply online at

    E-Print Network [OSTI]

    curriculum for motivated, intelligent middle school and high school students. Our programs aim to enhancegifted.msu.edu Apply online at On the banks of the Red Cedar, There's a school that's known to all; Its specialty is winning, And those Spartans play good ball; Spartan teams are never beaten, All

  18. 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

  19. 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.

  20. Applied Math

    E-Print Network [OSTI]

    $author.value

    Current research topics by the Applied Math Faculty members include: Numerical analysis and applications of finite difference, finite element and spectral ...

  1. 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, ...

  2. 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...

  3. 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

  4. 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

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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...

  10. 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.

  11. 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

  12. 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 ...

  13. 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

  14. 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

  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 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  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. 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

  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. 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

  7. 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

  8. 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.

  9. 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...

  10. Applied combustion

    SciTech Connect (OSTI)

    1993-12-31

    From the title, the reader is led to expect a broad practical treatise on combustion and combustion devices. Remarkably, for a book of modest dimension, the author is able to deliver. The text is organized into 12 Chapters, broadly treating three major areas: combustion fundamentals -- introduction (Ch. 1), thermodynamics (Ch. 2), fluid mechanics (Ch. 7), and kinetics (Ch. 8); fuels -- coal, municipal solid waste, and other solid fuels (Ch. 4), liquid (Ch. 5) and gaseous (Ch. 6) fuels; and combustion devices -- fuel cells (Ch. 3), boilers (Ch. 4), Otto (Ch. 10), diesel (Ch. 11), and Wankel (Ch. 10) engines and gas turbines (Ch. 12). Although each topic could warrant a complete text on its own, the author addresses each of these major themes with reasonable thoroughness. Also, the book is well documented with a bibliography, references, a good index, and many helpful tables and appendices. In short, Applied Combustion does admirably fulfill the author`s goal for a wide engineering science introduction to the general subject of combustion.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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.

  17. 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

  18. 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

  19. Management and Control of Foreign Intelligence

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

    1992-01-15

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

  20. Intelligence support to arms control. Study project

    SciTech Connect (OSTI)

    Grisham, A.E.

    1990-04-09

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

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

    E-Print Network [OSTI]

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

    2014-01-01

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

  2. 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.

  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. 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.

  12. 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

  13. 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

  14. 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

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

    E-Print Network [OSTI]

    Farrokhi, Vahid

    2012-01-01

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

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

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

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

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1995-01-01

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

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

    E-Print Network [OSTI]

    Agogino, Alice; Goebel, Kai; Alag, Sanam

    1997-01-01

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

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

    E-Print Network [OSTI]

    Huang, Lili

    2010-01-01

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

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

    E-Print Network [OSTI]

    Rosenberg, Steven

    2011-01-01

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

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

    E-Print Network [OSTI]

    Skinner, Rebecca Elizabeth

    2012-01-01

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

  2. Projective simulation for artificial intelligence

    E-Print Network [OSTI]

    Hans J. Briegel; Gemma De las Cuevas

    2013-02-08

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

  3. 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.

  4. 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

  5. "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

  6. 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.

  7. 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

  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. Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Applied Mathematics Department of Applied Mathematics 208 Engineering 1 Building 10 W. 32nd St, Graduate Studies: Xiaofan Li The Department of Applied Mathematics puts mathe- matics to work solving, such as how to construct methods for multi-criteria decision making (requiring discrete mathematics

  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. 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. 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. 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. ...

  17. 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

  18. 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 ...

  19. 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

  20. 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 ...

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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.

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. MATHMATICS & APPLIED STATISTICS

    E-Print Network [OSTI]

    Frey, Jesse C.

    MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics

  7. Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil

    E-Print Network [OSTI]

    Kretchmar, R. Matthew

    Reinforcement Learning, Neural Networks and PI Control Applied to a Heating Coil Charles W,along@lamar.colostate.edu Abstract An accurate simulation of a heating coil is used to compare the performance of a PI controller networks and other artificial intelligence techniques to the control of heating and air

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

    E-Print Network [OSTI]

    Andrei P. Kirilyuk

    2006-03-16

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

  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. Neural Network Based Intelligent Sootblowing System

    SciTech Connect (OSTI)

    Mark Rhode

    2005-04-01

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

  13. Applied Research Center

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

    ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical...

  14. Applied Math Publications

    E-Print Network [OSTI]

    The following sample of the publications has been made available to you by members of the Applied faculty through their personal homepages. Prof. Zhiqiang

  15. Applied Modern Physics

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

    1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world...

  16. 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 ...

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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.

  5. 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.

  6. 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.

  7. 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

  8. 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

  9. 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.

  10. 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

  11. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

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

  12. Applied Music Curriculum Guide

    E-Print Network [OSTI]

    Kearfott, R. Baker

    1 Applied Music Curriculum Guide The University of Louisiana at Lafayette School of Music #12;2 Revised Spring 2009 UNIVERSITY OF LOUISIANA, Lafayette SCHOOL OF MUSIC APPLIED MUSIC CURRICULUM GUIDE Dr. Garth Alper, Director DEGREES OFFERED Bachelor of Music with emphases in Performance, Theory

  13. 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

  14. 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

  15. Intelligent urban water systems use state-of-the-art sensors, telemetry as well as decision-making and optimisation software

    E-Print Network [OSTI]

    Cardell-Oliver, Rachel

    Overview Intelligent urban water systems use state-of-the-art sensors, telemetry as well as decision-making and optimisation software for various components of an urban water system. These elements are applied all the way from the catchment via water treatment facilities to households. This means sensor

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

    E-Print Network [OSTI]

    Pal, Sankar Kumar

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

  17. 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...

  18. Analytical Chemistry Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    Architecture Information Technology & Management Integrated Building Delivery Landscape Architecture ManagementAnalytical Chemistry Applied Mathematics Architectural Engineering Architecture Architecture Electricity Markets Environmental Engineering Food Process Engineering Food Safety & Technology

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

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

    E-Print Network [OSTI]

    Minnesota, University of

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

  8. 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

  9. 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

  10. 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

  11. 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...

  12. Sandia Energy - Applied & Computational Math

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

    Applied & Computational Math Home Energy Research Advanced Scientific Computing Research (ASCR) Applied & Computational Math Applied & Computational Mathcwdd2015-03-26T13:34:5...

  13. KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics

    E-Print Network [OSTI]

    Columbia University

    MEMBERSHIP OF PROFESSIONAL SOCIETIES IEEE, Materials Research Society (MRS); American Physical Society (APS1 KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics Seeley W. Mudd. of Applied Physics and Applied Mathematics, Columbia University 2011-present Philips Electronics Professor

  14. 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...

  15. 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.

  16. 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

  17. 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

  18. Information Science, Computing, Applied Math

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

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

  19. 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.

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

    E-Print Network [OSTI]

    Barshan, Billur

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

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

    E-Print Network [OSTI]

    Keil, David M.

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

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

    E-Print Network [OSTI]

    Hyvönen, Eero

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

  3. Apply for Beamtime

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O O D SFederal FacilityApplicantOffice ofApply ApplicationApply

  4. Journal of applied mechanics

    E-Print Network [OSTI]

    Nov 11, 2009 ... Location: Engineering (Periodicals) ... wave propagation in such systems is examined in reference (4). Gassman (5, 6) has ... Now Research Scientist at Missile. Systems ... Presented at the Applied Mechanics Division Summer Conference,. Berkeley ..... This will be true in some cases for a water- saturated ...

  5. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

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

  6. APPLYING RESEARCH ON METACOGNITION

    E-Print Network [OSTI]

    School of Medicine01/09/14 #12;Define metacognition and explain its importance in teaching and learning, understand key genetic terms.) Next, apply knowledge to determine inheritance patterns and to formulate students presume that a best response strategy is to relate everything they know about a subject figuring

  7. 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 ...

  8. 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 ...

  9. 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...

  10. 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...

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

    E-Print Network [OSTI]

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

    2006-01-01

    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...

  12. 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 ...

  13. 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...

  14. 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 ...

  15. 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 ...

  16. 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

  17. 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...

  18. 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...

  19. 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.

  20. 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...

  1. "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

  2. 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 ...

  3. 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.

  4. 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...

  5. 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...

  6. 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...

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

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

    E-Print Network [OSTI]

    Napp, Nils

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

  9. ORISE: Applied health physics projects

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

    Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support...

  10. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05

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

  11. Applied Science/Techniques

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery ActTools to someone byApplied Science/Techniques

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

    E-Print Network [OSTI]

    Lieberman, Henry

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

  13. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    SCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan Summary | 1 SCHOOL OF APPLIED TECHNOLOGY STRATEGIC PLAN SUMMARY MISSION STATEMENT The mission Technology and Management program to achieve national visibility. #12;School of Applied Technology Strategic

  14. 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.

  15. VARIABLE SPEED INTEGRATED INTELLIGENT HVAC BLOWER

    SciTech Connect (OSTI)

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

    2001-11-14

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

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

    E-Print Network [OSTI]

    Bringsjord, Selmer

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

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

    E-Print Network [OSTI]

    Bauer, Deborah Susan

    2013-01-01

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

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

    E-Print Network [OSTI]

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

    2002-01-01

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

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

    E-Print Network [OSTI]

    Minsky, Marvin

    1970-12-01

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

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

    E-Print Network [OSTI]

    Todd, Kirsty

    2006-01-01

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

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

    E-Print Network [OSTI]

    Korkmaz, Ummugulsum

    2014-07-25

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

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

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

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

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

    E-Print Network [OSTI]

    Bryson, Joanna Joy, 1965-

    2001-01-01

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Agogino, Alice M.

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

  6. 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

  7. 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...

  8. Applied Bohmian Mechanics

    E-Print Network [OSTI]

    A. Benseny; G. Albareda; A. S. Sanz; J. Mompart; X. Oriols

    2014-10-20

    Bohmian mechanics provides an explanation of quantum phenomena in terms of point particles guided by wave functions. This review focuses on the formalism of non-relativistic Bohmian mechanics, rather than its interpretation. Although the Bohmian and standard quantum theories have different formalisms, both give exactly the same predictions for all phenomena. Fifteen years ago, the quantum chemistry community began to study the practical usefulness of Bohmian mechanics. Since then, the scientific community has mainly applied it to study the (unitary) evolution of single-particle wave functions, either by developing efficient quantum trajectory algorithms or by providing a trajectory-based explanation of complicated quantum phenomena. Here we present a large list of examples showing how the Bohmian formalism provides a useful solution in different forefront research fields for this kind of problems (where the Bohmian and the quantum hydrodynamic formalisms coincide). In addition, this work also emphasizes that the Bohmian formalism can be a useful tool in other types of (non-unitary and nonlinear) quantum problems where the influence of the environment or the global wave function are unknown. This review contains also examples on the use of the Bohmian formalism for the many-body problem, decoherence and measurement processes. The ability of the Bohmian formalism to analyze this last type of problems for (open) quantum systems remains mainly unexplored by the scientific community. The authors of this review are convinced that the final status of the Bohmian theory among the scientific community will be greatly influenced by its potential success in these type of problems that present non-unitary and/or nonlinear quantum evolutions. A brief introduction of the Bohmian formalism and some of its extensions are presented in the last part of this review.

  9. 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.

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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)

  17. 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;

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

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

  18. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41

  19. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960­970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960­970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology

  20. Journal of Applied Ecology 2007

    E-Print Network [OSTI]

    Journal of Applied Ecology 2007 44, 748­759 © 2007 The Authors. Journal compilation © 2007 British, distribution, edge, marbled murrelets, model transferability, old-growth Journal of Applied Ecology (2007) 44-nesting Alcid © 2007 The Authors. Journal compilation © 2007 British Ecological Society, Journal of Applied

  1. On Relation Between Neuro-Fuzzy and CMAC Controller -1 IEEE SMC UK&RI Applied Cybernetics Dr Richard Mitchell 2005

    E-Print Network [OSTI]

    Mitchell, Richard

    On Relation Between Neuro-Fuzzy and CMAC Controller - 1 IEEE SMC UK&RI Applied Cybernetics © Dr of Computing and Intelligent Systems, University of Ulster Dr Richard Mitchell, Cybernetics, School of Systems Engineering, University of Reading This paper proposes a learning mechanism where the rule base of the neuro

  2. Generalized Intelligent States for an Arbitrary Quantum System

    E-Print Network [OSTI]

    A. H. EL Kinani; M. Daoud

    2003-11-06

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

  3. Computers for artificial intelligence a technology assessment and forecast

    SciTech Connect (OSTI)

    Miller, R.K.

    1986-01-01

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

  4. Artificial intelligence in engineering: Tools and techniques

    SciTech Connect (OSTI)

    Sriram, D.; Adey, R.A.

    1987-01-01

    Much of the early research in AI has focused on the development of the necessary tools and techniques for building applications. The 26 papers presented in this book summarise some of the latest developments and how they can be applied in engineering.

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

    E-Print Network [OSTI]

    Elimelech, Menachem

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

  6. 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

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. ROBUST INTELLIGENT CONTROL OF SMALL-SCALE MECHATRONIC DEVICES

    E-Print Network [OSTI]

    Efe, Mehmet Önder

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

  17. 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

  18. 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

  19. 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

  20. 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

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

    E-Print Network [OSTI]

    Senellart, Pierre

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

  2. The Semantic Web: Collective Intelligence on the Web

    E-Print Network [OSTI]

    Staab, Steffen

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

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

    E-Print Network [OSTI]

    Business Intelligence: The Next Frontier for Information Systems Research? Panel at 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Sandia Energy - Applied Turbulent Combustion

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

    and they form the basis for the creation of validated submodels that bridge fundamental energy sciences with applied device engineering and optimization. Turbulent-combustion-lab...

  19. The Foundations of Applied Mathematics

    E-Print Network [OSTI]

    Baez, John

    The Foundations of Applied Mathematics John Baez Category-Theoretic Foundations of Mathematics Workshop May 5, 2013 #12;We often picture the flow of information about mathematics a bit like this: SCIENCE AND ENGINEERING APPLIED MATHEMATICS PURE MATHEMATICS FOUNDATIONS OF MATHEMATICS #12;Of course

  20. GRADUATE BOOKLET Physics / Applied Physics

    E-Print Network [OSTI]

    Rock, Chris

    GRADUATE BOOKLET Physics / Applied Physics This booklet contains rules, guidelines and general information about graduate studies in the Physics Department at Texas Tech University. It does not replace documents. Contents I. General Comments: Admission, general policies, deadlines, etc II. Minimum

  1. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

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

  2. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    . MANUFACTURINGTECHNOLOGY. #12;BE A LEADER OF THE NEXT INDUSTRIAL REVOLUTION. An undergraduate degree in IndustrialINDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY INDUSTRIAL OPERATIONS. RESOURCE MANAGEMENT. INDUSTRIAL FACILITIES. SUPPLY CHAIN MANAGEMENT. SUSTAINABILITY

  3. 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...

  4. 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...

  5. 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

  6. 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

  7. 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

  8. 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 ...

  9. 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."

  10. 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

  11. 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 ...

  12. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  15. Zihan Xu xuz@seas.wustl.edu (A survey paper written under guidance of Prof. Raj Jain) Since the existing power grid is designed neither by latest technologies nor to comply with rapidly climate changes, a new intelligent power grid is

    E-Print Network [OSTI]

    Jain, Raj

    Abstract: Since the existing power grid is designed neither by latest technologies nor to comply with rapidly climate changes, a new intelligent power grid is urgently needed and will soon be applied to power and obstacles of its developments. Keywords: Smart Grid; Power Systems; Self-healing; Customers Participation

  16. Applying for a Training Contract

    E-Print Network [OSTI]

    , usual deadline is July 31, 2013 for entry in September 2015. Students should apply in the 2nd year aimed at 2nd year LLB students & final year non-law students. Competition for these places is often more will successfully complete the Legal Practice Course each year. From the point of view of the student, there can

  17. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

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

  18. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  19. Applying the Continuous Monitoring Technical

    E-Print Network [OSTI]

    by providing technical leadership for the nation's measurement and standards infrastructure. ITL develops tests of technical, physical, administrative, and management standards and guidelines for the cost-effective securityApplying the Continuous Monitoring Technical Reference Model to the Asset, Configuration

  20. temperature heat pumps applied to

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Very high- temperature heat pumps applied to energy efficiency in industry Application of industrial heat pumps June 21 th 2012 J-L Peureux, E. Sapora, D. Bobelin EDF R&D #12;Achema 2012 Frankfurt There are thermal requirements in the industrial plant Treq Heat exchanger = Cons ~ 0 CO2 ~ -100% Treq

  1. 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

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

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

    E-Print Network [OSTI]

    Antsaklis, Panos

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

  4. Defining a Task's Temporal Domain for Intelligent Calendar Applications

    E-Print Network [OSTI]

    Refanidis, Ioannis

    and Ioannis Refanidis Department of Applied Informatics, University of Macedonia Thessaloniki, Greece talex

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

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

    E-Print Network [OSTI]

    Black, Paul E.

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. The Age Distribution of Potential Intelligent Life in the Milky Way

    E-Print Network [OSTI]

    Legassick, Daniel

    2015-01-01

    We investigated the habitability of the Milky Way, making use of recent observational analysis on the prevalence of Earth-sized planets, in order to estimate where and when potentially habitable star systems may have formed over the course of the Galaxy's history. We were then able to estimate the age distribution of potential intelligent life in our Galaxy using our own evolution and the age of the Sun as a proxy. To do this we created a galactic chemical evolution model and applied the following habitability constraints to the Sun-like (G-type) stars formed in our model: an environment free from life-extinguishing supernovae, a high enough metallicity for Earth-sized planet formation and sufficient time for the evolution of complex life. We determined a galactic habitable zone as the region containing all the potentially habitable star systems in our model. Our galactic habitable zone contains stars formed between 11 and 3.8 billion years ago at radial distances of between 7 and 14 kiloparsecs. We found tha...

  9. Applied Mathematics Conferences and Workshops | U.S. DOE Office...

    Office of Science (SC) Website

    Applied Mathematics Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics...

  10. International combustion engines; Applied thermosciences

    SciTech Connect (OSTI)

    Ferguson, C.R.

    1985-01-01

    Focusing on thermodynamic analysis - from the requisite first law to more sophisticated applications - and engine design, this book is an introduction to internal combustion engines and their mechanics. It covers the many types of internal combustion engines, including spark ignition, compression ignition, and stratified charge engines, and examines processes, keeping equations of state simple by assuming constant specific heats. Equations are limited to heat engines and later applied to combustion engines. Topics include realistic equations of state, stroichiometry, predictions of chemical equilibrium, engine performance criteria, and friction, which is discussed in terms of the hydrodynamic theory of lubrication and experimental methods such as dimensional analysis.

  11. ORISE: Applied health physics projects

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEY UNIVERSE The 2014 surveyNuclearHow toContactUndergraduateApplied

  12. Sandia Energy - Applied Turbulent Combustion

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni >ScientificApplied Turbulent Combustion Home

  13. 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

  14. At the Intersection of Applied Formal Methods

    E-Print Network [OSTI]

    Zimmerman, Daniel M.

    of Technology University of Washington Tacoma NTU Graduate Seminar, - 7 January 2011 #12;Outline · Applied

  15. Building Reliable Software Applied Formal Methods

    E-Print Network [OSTI]

    Zimmerman, Daniel M.

    Institute of Technology University of Washington Tacoma #12;Outline · Applied Formal Methods · Correctness

  16. 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...

  17. 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.

  18. Digital Intuition: Applying Common Sense Using Dimensionality Reduction

    E-Print Network [OSTI]

    Havasi, Catherine

    Understanding the world we live in requires access to a large amount of background knowledge: the commonsense knowledge that most people have and most computer systems don't. Many of the limitations of artificial intelligence ...

  19. 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...

  20. 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, ...

  1. 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 ...

  2. 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...

  3. 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...

  4. 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 ...

  5. 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

  6. 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 ...

  7. 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...

  8. 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

  9. 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

  10. 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.

  11. 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 ...

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

    E-Print Network [OSTI]

    Borissova, Daniela

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

  13. 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 ...

  14. 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

  15. 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. ...

  16. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  17. CX-007596: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ohio Advanced Transportation Partnership CX(s) Applied: B5.23 Date: 01/25/2012 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  18. CX-012729: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydrogen Sulfide Scavenger BOA (Multiple) CX(s) Applied: B5.2Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  19. CX-008588: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Petersburg Solar Pilot Project CX(s) Applied: B5.1 Date: 07/19/2012 Location(s): Florida Offices(s): Golden Field Office

  20. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  1. CX-010148: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Merritt Radio Station Upgrade CX(s) Applied: B1.19 Date: 04/18/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  2. CX-008706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tunk Mountain Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/30/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  4. CX-008543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Colorado State Energy Plan 2012 CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Colorado Offices(s): Golden Field Office

  5. CX-012333: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 06/03/2014 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  6. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  7. CX-012817: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bell Maintenance Headquarters Access Road Maintenance CX(s) Applied: B1.3Date: 41890 Location(s): WashingtonOffices(s): Bonneville Power Administration

  8. CX-006225: Categorical Exclusion Determination | Department of...

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

    Infrastructure Upgrades - Materials and Fuel Complex (MFC)- Irradiated Materials Characterization Laboratory (IMCL) CX(s) Applied: B3.6 Date: 06072011 Location(s): Idaho Falls,...

  9. CX-010791: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect CX(s) Applied: A9, A11 Date: 08142013 Location(s): Texas...

  10. Categorical Exclusion Determinations: Science | Department of...

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

    Determination Establishment of an Easement for Enhanced Electrical Service to the Computational Sciences Facility CX(s) Applied: B1.7 Date: 08302011 Location(s):...

  11. CX-011634: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

  12. CX-008993: Categorical Exclusion Determination | Department of...

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

    CX-008993: Categorical Exclusion Determination "Continuous Processing of High Thermal Conductivity Polyethylene Fibers and Sheets CX(s) Applied: A9, B3.6 Date: 0822...

  13. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-008146: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Formation Evaluator Tools (Haliburton) CX(s) Applied: B3.7 Date: 09/11/2011 Location(s): Wyoming Offices(s): RMOTC

  15. CX-004095: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004095: Categorical Exclusion Determination Thermal Transport Properties of Nanostructured Materials for Energy Conversion CX(s) Applied: B3.6 Date: 09...

  16. CX-008144: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Planned Repair of Flow Lines CX(s) Applied: B5.4 Date: 08/09/2011 Location(s): Wyoming Offices(s): RMOTC

  17. CX-003164: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  18. CX-012730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace West Hackberry Radio Tower CX(s) Applied: B1.19Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  19. CX-011069: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Induction Furnace Melting CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  20. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  1. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  2. CX-012795: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Bonneville Substation 23- Kilovolt Line Retermination CX(s) Applied: B4.11Date: 41926 Location(s): WashingtonOffices(s): Bonneville Power Administration

  3. CX-010618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: 0 Date: 07/19/2013 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  4. CX-012789: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 440 CNM Clean Room Expansion CX(s) Applied: B3.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  5. CX-008438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 06/27/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  6. CX-008282: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 05/01/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

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

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

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

  8. CX-012311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Accelerator Test Facility II CX(s) Applied: B3.10 Date: 05/28/2014 Location(s): New York Offices(s): Brookhaven Site Office

  9. CX-008799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Jack Case Showers Projects CX(s) Applied: B1.3 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  10. CX-010763: Categorical Exclusion Determination | Department of...

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

    CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...

  11. CX-012254: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05/28/2014 Location(s): Tennessee Offices(s): Golden Field Office

  12. CX-012253: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05/27/2014 Location(s): Oregon Offices(s): Golden Field Office

  13. CX-004351: Categorical Exclusion Determination | Department of...

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

    4351: Categorical Exclusion Determination CX-004351: Categorical Exclusion Determination Center for Development of Math, Science and Technology CX(s) Applied: B1.15 Date: 1029...

  14. CX-003959: Categorical Exclusion Determination | Department of...

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

    59: Categorical Exclusion Determination CX-003959: Categorical Exclusion Determination Federal Bureau of Investigation Radiological Dispersion Device Training CX(s) Applied: B1.2...

  15. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  16. CX-005987: Categorical Exclusion Determination | Department of...

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

    87: Categorical Exclusion Determination CX-005987: Categorical Exclusion Determination Stion Corporation - Superstrate Device for High Efficiency Tandem Modules CX(s) Applied: A9,...

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

    Office of Environmental Management (EM)

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

  18. CX-100022: Categorical Exclusion Determination | Department of...

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

    CX-100022: Categorical Exclusion Determination CX-100022: Categorical Exclusion Determination EERE Demonstration for Advanced Retro-Commissioning Technology CX(s) Applied: A9,...

  19. CX-001378: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    378: Categorical Exclusion Determination CX-001378: Categorical Exclusion Determination Wackenhut Services, Incorporated Training Facility CX(s) Applied: B1.2 Date: 10282009...

  20. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  1. CX-007826: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    007826: Categorical Exclusion Determination CX-007826: Categorical Exclusion Determination "Crittenden City Facilities Re-Roofing CX(s) Applied: B5.1 Date: 01312012 Location(s):...

  2. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  3. CX-000310: Categorical Exclusion Determination | Department of...

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

    0: Categorical Exclusion Determination CX-000310: Categorical Exclusion Determination New Jersey Revision 1 - Energy Efficiency Upgrades for State Buildings CX(s) Applied: A9, A11,...

  4. CX-009923: Categorical Exclusion Determination | Department of...

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

    CX-009923: Categorical Exclusion Determination CX-009923: Categorical Exclusion Determination Project Icebreaker CX(s) Applied: A9, B3.1 Date: 01072013 Location(s): Ohio...

  5. CX-007056: Categorical Exclusion Determination | Department of...

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

    7056: Categorical Exclusion Determination CX-007056: Categorical Exclusion Determination Interstate Electrification Improvement CX(s) Applied: B5.1 Date: 09192011 Location(s):...

  6. CX-100290 Categorical Exclusion Determination | Department of...

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

    0 Categorical Exclusion Determination CX-100290 Categorical Exclusion Determination Location, Location, Efficiency (Milwaukee, WI) Award Number: DE-EE0007069 CX(s) Applied: A9,...

  7. CX-003197: Categorical Exclusion Determination | Department of...

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

    7: Categorical Exclusion Determination CX-003197: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Systems for Utility Power Generation CX(s) Applied:...

  8. CX-007370: Categorical Exclusion Determination | Department of...

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

    370: Categorical Exclusion Determination CX-007370: Categorical Exclusion Determination Idaho-TRIBE-SHOSHONE-BANNOCK TRIBE OF THE FORT HALL RESERVATION OF IDAHO CX(s) Applied:...

  9. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  10. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  11. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  12. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  13. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  14. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  15. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  16. CX-012097: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Microgrid Demonstration Project CX(s) Applied: B5.15 Date: 03/24/2014 Location(s): Idaho Offices(s): Idaho Operations Office

  17. CX-002327: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Determination Central Facility Area and Advanced Test Reactor-Complex Analytical and Research and Development Laboratory Operation (Overarching) CX(s) Applied: B3.6 Date: 05...

  18. CX-005162: Categorical Exclusion Determination | Department of...

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

    5162: Categorical Exclusion Determination CX-005162: Categorical Exclusion Determination Green Chemistry - CEAM Phase 3 - Working Bug LLC CX(s) Applied: B5.1 Date: 02082011...

  19. CX-008545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

  20. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management