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1

Artificial Intelligence and Robotics  

E-Print Network (OSTI)

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 ...

Brady, Michael

1984-02-01T23:59:59.000Z

2

Artificial Intelligence Decision and Information  

E-Print Network (OSTI)

(Sk+3000,000) EU(decline bet) = U(S k+1000,000) not that different Bottom Line: the utility U of money Intellige Decision: What Door to Open? Artificial Intelligence ­ p.3/26 Bottom Line Clear: decision about preference by a numerical utility function U. For outcomes A, B U(A) > U(B) A B U(A) = U(B) A B Artificial

Polani, Daniel

3

Introduction to Artificial Intelligence Neural Networks  

E-Print Network (OSTI)

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

Qu, Rong

4

Foundations of Artificial Intelligence Neural Networks  

E-Print Network (OSTI)

Foundations of Artificial Intelligence Neural Networks Building Artificial Brains #12;Background of observed examples (training data). #12;Neural Networks Objectives Show how the human brain works Introduction The Human Brain (How a neuron works) Building Artificial Neurons Network Architecture and Learning

Qu, Rong

5

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

E-Print Network (OSTI)

;neural network [neural network] Artificial neural networks try to simulate biological neural networks interface to a neural net simulator. artificial intelligence [artificial intelligence] (AI) is a field and on the inputs they receive via the connections. A neural network can either be an algorithm, or be realized

Knill, Oliver

6

6.034 Artificial Intelligence, Fall 2006  

E-Print Network (OSTI)

6.034 is the header course for the department's "Artificial Intelligence and Applications" concentration. This course introduces students to the basic knowledge representation, problem solving, and learning methods of ...

Winston, Patrick Henry

7

Artificial intelligence and the future  

Science Journals Connector (OSTI)

...unconvinced by `wrong technology' arguments that...tasks involve the handling of imprecise...intelligence, current technology might put us...power nor in handling complexity...the necessary procedures are applied, but to construct...

2003-01-01T23:59:59.000Z

8

Unifying Artificial Intelligence Robotics: An Undergraduate Textbook  

E-Print Network (OSTI)

Unifying Artificial Intelligence Robotics: An Undergraduate Textbook Introduction to AI Robotics United States Naval Academy Robotics as a discipline has been active for more than 40 years in robotics, history has checked the development of texts appropriate for an undergraduate course from

Crabbe, Frederick

9

Artificial Intelligence 1 For articles on related subjects see Artificial Life; Automated Plan  

E-Print Network (OSTI)

of Stuart C. Shapiro, ``Artificial Intelligence.'' In A. Ralston, E. D. Reilly and D. Hemmendinger, Eds is a revised version of Shapiro, S. C. ``Artificial Intelligence,'' in S. C. Shapiro, Ed. Encyclopedia

Shapiro, Stuart C.

10

Intelligent Servant Robot with Artificial Neural Network  

E-Print Network (OSTI)

Abstract: This work aims at proposing a design of a self learning intelligent porter robot that is constructed with ANN. The basic functionality of the robot includes obstacle avoidance and path learning through its codes as well as ANN. The robot is expected to work in an industrial or domestic environment, where it port objects from one place to another provided place is being instructed to it. The robot is fed with blue print of its working environment. The robot has a skid wheels and an arm of 3 degrees of freedom. Key Words: Robot, Artificial neural network and obstacle I.

Prof Hari; Ram Vishwakarma; M S Ishwarya

11

E-Print Network 3.0 - artificial intelligence expert Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

1956 Dartmouth meeting: "Artificial Intelligence... Inference: Expert systems, Fuzzy Logic, Bayesian Nets Intelligent Control Tools: State Machines, Fuzzy... (048717):...

12

Mind Uploading: Artificial neural network, Artificial intelligence, Neuroinformatics, Computational neuroscience, Transhumanism, Douglas Hofstadter, Jeff ... Mind transfer in fiction  

Science Journals Connector (OSTI)

Mind uploading - Artificial neural network, Artificial intelligence, Neuroinformatics, Computational neuroscience, Transhumanism, Douglas Hofstadter, Jeff Hawkins, Marvin Minsky, Rodolfo Llins, Moore's law, Magnetoencephalography, Mind transfer in fiction, ...

John McBrewster; Frederic P. Miller; Agnes F. Vandome

2009-04-01T23:59:59.000Z

13

CNCR Talk on AI and Philosophy ARTIFICIAL INTELLIGENCE AND PHILOSOPHY  

E-Print Network (OSTI)

CNCR Talk on AI and Philosophy ARTIFICIAL INTELLIGENCE AND PHILOSOPHY How AI (including robotics) relates to philosophy and in some ways Improves on Philosophy Aaron Sloman http are also relevant) Also relevant · The Computer Revolution in Philosophy (1978) http

Sloman, Aaron

14

Prolog Notes 1996. Page 1 Artificial Intelligence 1  

E-Print Network (OSTI)

, rather than, as in the previous set of notes, a form of automated logic. The two sets of notes may of automated logic. Section 5 covers the subject of search which is important in Artificial Intelligence

Huntbach, Matthew

15

Artificial Intelligence 170 (2006) 835871 www.elsevier.com/locate/artint  

E-Print Network (OSTI)

Artificial Intelligence 170 (2006) 835­871 www.elsevier.com/locate/artint On the computational / Artificial Intelligence 170 (2006) 835­871 desires to achieve one of a set of goals, and every coalition has

Woolridge, Mike

16

Editorial Note The role of Artificial Intelligence in Knowledge  

E-Print Network (OSTI)

Editorial Note The role of Artificial Intelligence in Knowledge Management E. Tsui1 , B.J. Garner2 and S. Staab3 1. General Ambit of KnowledgeManagement Knowledge Managementhas emerged as a predominantly of business strategies and the appointment of Chief Knowledge Officers to better focus on the exploitation

Staab, Steffen

17

Intentionality, Artificial Intelligence and the Causal Powers of the Brain  

E-Print Network (OSTI)

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...

Whitmer, Jeffrey M.

18

E-Print Network 3.0 - artificial intelligence technical Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

intelligence, where human... of an artificial system, a number of ... Source: Birattari, Mauro - Computer and Decision Engineering Department, Universit Libre de Bruxelles;...

19

E-Print Network 3.0 - artificial intelligence consortium Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial Intelligence 390. Springer-Verlag, Berlin... to the general goal ... Source: Shapiro, Stuart C. - Department of Computer Science and Engineering, State University of...

20

E-Print Network 3.0 - artificial intelligence conference Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial Intelligence Consortium (NAIC). 1... to the general goal of ... Source: Shapiro, Stuart C. - Department of Computer Science and Engineering, State University of...

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

E-Print Network 3.0 - artificial intelligence Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial Intelligence Consortium (NAIC). 1... to the general goal of ... Source: Shapiro, Stuart C. - Department of Computer Science and Engineering, State University of...

22

E-Print Network 3.0 - artificial intelligence ai Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

subjects see Artificial Life; Automated Plan... Intelligence 2 (AI) is a ... Source: Shapiro, Stuart C. - Department of Computer Science and Engineering, State University of...

23

E-Print Network 3.0 - artificial intelligence epia Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial Intelligence Consortium (NAIC). 1... to the general goal of ... Source: Shapiro, Stuart C. - Department of Computer Science and Engineering, State University of...

24

Jordan Boyd-Graber and David M. Blei. Multilingual Topic Models for Unaligned Text. Uncertainty in Artificial Intelligence, 2009.  

E-Print Network (OSTI)

Jordan Boyd-Graber and David M. Blei. Multilingual Topic Models for Unaligned Text. Uncertainty in Artificial Intelligence, 2009. @inproceedings{Boyd-Graber:Blei-2009, Title = {Multilingual Topic Models for Unaligned Text}, Booktitle = {Uncertainty in Artificial Intelligence}, Author = {Jordan Boyd

Boyd-Graber, Jordan

25

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

E-Print Network (OSTI)

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 systems. The AANN can...

Singh, Harkirat

2004-09-30T23:59:59.000Z

26

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

SciTech Connect

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

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

2008-10-07T23:59:59.000Z

27

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

E-Print Network (OSTI)

-like and transhuman intelligence, by exploring all available paths, including theoretical and experimental computer

Hutter, Marcus

28

Robot Gladiators: A Java Exercise with Artificial Intelligence  

E-Print Network (OSTI)

This paper describes an interesting game, Robot Gladiators, and the Java program that permits students to program the strategy of individual robots. As such, the program is appropriate for a first Java class or a first class in Artificial Intelligence. Robot Gladiators is a multiplayer game in which the goal is to have your robot survive against all other robots. The other robots can represent other people's strategies or they can be "dumb" robots supplied by the program. At the start of the game, each robot is placed randomly on a rectangular playing field. Each robot can turn, move, get its current location, check its longrange directional radar or its short-range proximity radar, or fire its cannon. The action of each robot is controlled by an individual run() method. Each student programs his/her own robot and then, by letting the game play for 100 trials, one can begin to judge the soundness of different strategies. The paper describes the main Java program that controls the actions of the robots. More precisely, the main program referees the actions of the robots, which are requested from individual threads associated to each robot. The ease of implementing multi-threaded

David S. Yuen; Lowell A. Carmony

29

Artificial Intelligence 114 (1999) 297347 An articulate virtual laboratory for engineering  

E-Print Network (OSTI)

, such as power plants, propulsion systems, refrigerators, and heat pumps, and the study of thermodynamic cyclesArtificial Intelligence 114 (1999) 297­347 CyclePad: An articulate virtual laboratory CyclePad, a fully implemented articulate virtual laboratory that captures a substantial fraction

Forbus, Kenneth D.

30

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

E-Print Network (OSTI)

Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels, Robotics often appears as a collection of disjoint, some- times antagonistic sub-fields. The lack robotics, and shows how these traditional sub-fields fit in to the whole. Finally, it presents a curriculum

Crabbe, Frederick

31

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

E-Print Network (OSTI)

Unifying Undergraduate Artificial Intelligence Robotics: Layers Of Abstraction Over Two Channels, Robotics often appears as a collection of often disjoint, sometimes antagonistic sub-fields. The lack robotics, and shows how these traditional sub-fields fit in to the whole. Finally, it presents a curriculum

Crabbe, Frederick

32

Proceedings, Florida Artificial Intelligence Research Symposium, USA, 1999 Improving Technical Analysis Predictions: An Application of Genetic  

E-Print Network (OSTI)

analysis may have merit to predictability of stock. Technical rules are widely used for market assessment. In this paper, to explore the potential prediction power of technical analysis, we present a genetic programmingProceedings, Florida Artificial Intelligence Research Symposium, USA, 1999 Improving Technical

Boetticher, Gary D.

33

To appear in the journal Artificial Intelligence Brain-Actuated Interaction  

E-Print Network (OSTI)

To appear in the journal Artificial Intelligence Brain-Actuated Interaction José del R. Millána & Brain and Mind Institute, Swiss Federal Institute of Technology,1015 Lausanne EPFL, Switzerland c Centre Abstract Over the last years evidence has accumulated that shows the possibility to analyze human brain

Boetticher, Gary D.

34

Tim Menzies Artificial Intelligence Laboratory, School of Computer Science and Engineering,  

E-Print Network (OSTI)

Menzies Artificial Intelligence Laboratory, School of Computer Science and Engineering, University of New. A sample of these results are presented here. For a devotee of the OO approach such as ourselves errors, faster delivery, and easier maintenance? We reject answers to these questions based on 'intuition

Menzies, Tim

35

Levels and loops: the future of artificial intelligence and neuroscience  

Science Journals Connector (OSTI)

...with the perceptual-motor loop of a robot in a...sensory perceptions and motor actions in an environment...perception, on sensory^motor coordinate systems...Levels and loops: the future ofarti cial intelligence...which relativity and quantum mechanics are our best...

1999-01-01T23:59:59.000Z

36

Northeast Artificial Intelligence Consortium (NAIC). Volume 7. Automatic photointerpretation. Final report, Sep 84-Dec 89  

SciTech Connect

The Northeast Artificial Intelligence Consortium (NAIC) was created by the Air Force Systems Command, Rome Air Development Center, and the Office of Scientific Research. Its purpose was to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress during the existence of the NAIC on the technical research tasks undertaken at the member universities. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communications system control, automatic photointerpretation, time-oriented problem solving, speech understanding systems, knowledge base maintenance, hardware architectures for very large systems, knowledge-based reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topics for this volume are the use of expert systems for automated photo interpretation and other AI techniques to image segmentation and region identification.

Modestino, J.; Sanderson, A.

1990-12-01T23:59:59.000Z

37

Applications of artificial intelligence III; Proceedings of the Meeting, Orlando, FL, Apr. 1-3, 1986  

SciTech Connect

Papers are presented on expert systems for such functions as model management, the labeling segment in FLIR imagery, and on-board fault monitoring and diagnosis; procedures for analyzing and interpreting images; and knowledge-based systems for planning, ship identification, fault-identification systems, design issues, interpretation of signal images, and electronic circuit-diagram interpretation. Topics discussed include image procesing, heuristic systems, and knowledge presentation. Consideration is given to pattern recognition, robotics, and a number of artificial intelligence applications.

Gilmore, J.F.

1986-01-01T23:59:59.000Z

38

[McC86] John McCarthy. Application of circumscription to formaliz ing commonsense knowledge. Artificial Intelligence, 28:89--116,  

E-Print Network (OSTI)

:365--385, 1991. [GM92] John Grant and Jack Minker. Deductive database systems. In Stuart C. Shapiro, editor C. Shapiro, editor, Encyclopedia of Artificial Intelligence, pages 873-- 891. John Wiley & Sons, 2nd. Constraint networks. In Stuart C. Shapiro, edi­ tor, Encyclopedia of Artificial Intelligence, pages 276

Dechter, Rina

39

Artificial Intelligence  

E-Print Network (OSTI)

commentary on the state of the art. It next presents an overview of AI technology and explains some existing programs in Japan, England and the United States to evolve that technology further. It then examines application issues for AI technology...

Appleton, D. S.

40

Artificial intelligence technology assessment for the US Army Depot System Command  

SciTech Connect

This assessment of artificial intelligence (AI) has been prepared for the US Army's Depot System Command (DESCOM) by Pacific Northwest Laboratory. The report describes several of the more promising AI technologies, focusing primarily on knowledge-based systems because they have been more successful in commercial applications than any other AI technique. The report also identifies potential Depot applications in the areas of procedural support, scheduling and planning, automated inspection, training, diagnostics, and robotic systems. One of the principal objectives of the report is to help decisionmakers within DESCOM to evaluate AI as a possible tool for solving individual depot problems. The report identifies a number of factors that should be considered in such evaluations. 22 refs.

Pennock, K A

1991-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Artificial intelligence research in particle accelerator control systems for beam line tuning  

SciTech Connect

Tuning particle accelerators is time consuming and expensive, with a number of inherently non-linear interactions between system components. Conventional control methods have not been successful in this domain and the result is constant and expensive monitoring of the systems by human operators. This is particularly true for the start-up and conditioning phase after a maintenance period or an unexpected fault. In turn, this often requires a step-by-step restart of the accelerator. Surprisingly few attempts have been made to apply intelligent accelerator control techniques to help with beam tuning, fault detection, and fault recovery problems. The reason for that might be that accelerator facilities are rare and difficult to understand systems that require detailed expert knowledge about the underlying physics as well as months if not years of experience to understand the relationship between individual components, particularly if they are geographically disjoint. This paper will give an overview about the research effort in the accelerator community that has been dedicated to the use of artificial intelligence methods for accelerator beam line tuning.

Pieck, Martin [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

42

Reservoir Modeling by Data Integration via Intermediate Spaces and Artificial Intelligence Tools in MPS Simulation Frameworks  

SciTech Connect

Conditioning stochastic simulations are very important in many geostatistical applications that call for the introduction of nonlinear and multiple-point data in reservoir modeling. Here, a new methodology is proposed for the incorporation of different data types into multiple-point statistics (MPS) simulation frameworks. Unlike the previous techniques that call for an approximate forward model (filter) for integration of secondary data into geologically constructed models, the proposed approach develops an intermediate space where all the primary and secondary data are easily mapped onto. Definition of the intermediate space, as may be achieved via application of artificial intelligence tools like neural networks and fuzzy inference systems, eliminates the need for using filters as in previous techniques. The applicability of the proposed approach in conditioning MPS simulations to static and geologic data is verified by modeling a real example of discrete fracture networks using conventional well-log data. The training patterns are well reproduced in the realizations, while the model is also consistent with the map of secondary data.

Ahmadi, Rouhollah, E-mail: rouhollahahmadi@yahoo.com [Amirkabir University of Technology, PhD Student at Reservoir Engineering, Department of Petroleum Engineering (Iran, Islamic Republic of)] [Amirkabir University of Technology, PhD Student at Reservoir Engineering, Department of Petroleum Engineering (Iran, Islamic Republic of); Khamehchi, Ehsan [Amirkabir University of Technology, Faculty of Petroleum Engineering (Iran, Islamic Republic of)] [Amirkabir University of Technology, Faculty of Petroleum Engineering (Iran, Islamic Republic of)

2013-12-15T23:59:59.000Z

43

Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Final report, August 31, 1997  

SciTech Connect

The primary goal of the project is to develop a user-friendly computer program to integrate geological and engineering information using Artificial Intelligence (AI) methodology. The project is restricted to fluvially dominated deltaic environments. The static information used in constructing the reservoir description includes well core and log data. Using the well core and the log data, the program identifies the marker beds, and the type of sand facies, and in turn, develops correlations between wells. Using the correlations and sand facies, the program is able to generate multiple realizations of sand facies and petrophysical properties at interwell locations using geostatistical techniques. The generated petrophysical properties are used as input in the next step where the production data are honored. By adjusting the petrophysical properties, the match between the simulated and the observed production rates is obtained. Although all the components within the overall system are functioning, the integration of dynamic data may not be practical due to the single-phase flow limitations and the computationally intensive algorithms. The future work needs to concentrate on making the dynamic data integration computationally efficient.

Kerr, D.R.; Thompson, L.G.; Shenoi, S.

1998-03-01T23:59:59.000Z

44

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

E-Print Network (OSTI)

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

Peterson, Carsten

45

E-Print Network 3.0 - artificial intelligence techniques Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

the generally accepted premier... . Measuring universal intelligence: ... Source: Dowe, David - Caulfield School of Information Technology, Monash University Collection: Computer...

46

E-Print Network 3.0 - artificial intelligence algorithm Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

and data structures that the human mind... of Stuart C. Shapiro, Artificial ... Source: Shapiro, Stuart C. - Department of Computer Science and Engineering, State University of...

47

E-Print Network 3.0 - applications artificial intelligence Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

In A. Ralston, E. D. Reilly and D. Hemmendinger, Eds... is a revised version of Shapiro, S. C. Artificial ... Source: Shapiro, Stuart C. - Department of Computer...

48

E-Print Network 3.0 - artificial intelligence search Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

In A. Ralston, E. D. Reilly and D. Hemmendinger, Eds... is a revised version of Shapiro, S. C. Artificial ... Source: Shapiro, Stuart C. - Department of Computer...

49

Proceedings of Workshop on Help Provision and Help Seeking in Interactive Learning Environments, International Conference on Artificial Intelligence in Education, San Antonio, Texas, 2001.  

E-Print Network (OSTI)

Proceedings of Workshop on Help Provision and Help Seeking in Interactive Learning Environments, International Conference on Artificial Intelligence in Education, San Antonio, Texas, 2001. Help-Seeking in an Asynchronous Help Forum SUSAN BULL, JIM GREER, GORD MCCALLA AND LORI KETTEL ARIES Laboratory, Department

Bull, Susan

50

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

E-Print Network (OSTI)

applications to new programming language · creativity: writing poems, jokes, novels, music pieces, painting, or recognize faces. The challenge for an artificial intelli- gent robot to do so is formidable. Here. It allows to compute the location of the point C. · The DARPA Grand Challenge asks robots to race through

Knill, Oliver

51

Potential impacts of artificial intelligence expert systems on geothermal well drilling costs:  

SciTech Connect

The Geothermal research Program of the US Department of Energy (DOE) has as one of its goals to reduce the cost of drilling geothermal wells by 25 percent. To attain this goal, DOE continuously evaluates new technologies to determine their potential in contributing to the Program. One such technology is artifical intelligence (AI), a branch of computer science that, in recent years, has begun to impact the marketplace in a number of fields. Expert systems techniques can (and in some cases, already have) been applied to develop computer-based ''advisors'' to assist drilling personnel in areas such as designing mud systems, casing plans, and cement programs, optimizing drill bit selection and bottom hole asssembly (BHA) design, and alleviating lost circulation, stuck pipe, fishing, and cement problems. Intelligent machines with sensor and/or robotic directly linked to AI systems, have potential applications in areas of bit control, rig hydraulics, pipe handling, and pipe inspection. Using a well costing spreadsheet, the potential savings that could be attributed to each of these systems was calculated for three base cases: a dry steam well at The Geysers, a medium-depth Imerial Valley well, and a deep Imperial Valley well. Based on the average potential savings to be realized, expert systems for handling lost circulations problems and for BHA design are the most likely to produce significant results. Automated bit control and rig hydraulics also exhibit high potential savings, but these savings are extremely sensitive to the assumptions of improved drilling efficiency and the cost of these sytems at the rig. 50 refs., 19 figs., 17 tabs.

Satrape, J.V.

1987-11-24T23:59:59.000Z

52

Comparison of the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techinques  

Science Journals Connector (OSTI)

Abstract The paper analyses and compares the merit order effects of photovoltaic and wind power on final electricity prices in the Spanish spot market and the cost of electricity tariffs. Artificial intelligence techniques are used to model the electricity auction clearing process. Several algorithms are studied before the M5P learning algorithm is finally applied to create a tree model of the spot market. Electricity tariffs for domestic consumers are also recalculated for fictional scenarios with no photovoltaic or wind power production. The conclusion is that the influence of photovoltaic and wind power is uneven. Wind power reduces final electricity prices by 9.10/MWh, generating an overall saving for the system of 364.0 million and for the average domestic consumer of 1.95 using 2012 figures; photovoltaic power reduces electricity prices by 2.18/MWh, generating an overall cost overrun for the system of 2034.1 million and for the average domestic consumer of 38.82.

D. Azofra; E. Martnez; E. Jimnez; J. Blanco; F. Azofra; J.C. Saenz-Dez

2015-01-01T23:59:59.000Z

53

To appear in: Machine Learning: An Artificial Intelligence Approach, volume IV Refining Symbolic Knowledge Using Neural Networks  

E-Print Network (OSTI)

artificial neural networks as part of a multistrategy learning system, there must be a way for neural; 1 Introduction Artificial neural networks (ANNs) have proven to be a powerful and general technique Knowledge Using Neural Networks Geoffrey G. Towell Jude W. Shavlik University of Wisconsin --- Madison 1210

Liblit, Ben

54

A hybrid power plant (SolarWindHydrogen) model based in artificial intelligence for a remote-housing application in Mexico  

Science Journals Connector (OSTI)

World fossil fuel reserve is expected to be exhausted in coming few decades. Therefore, the decentralization of energy production requires the design and integration of different energy sources and conversion technologies to meet the power demand for single remote housing applications in a sustainable way under various weather conditions. This work focuses on the integration of photovoltaic (PV) system, micro-wind turbine (WT), Polymeric Exchange Membrane Fuel Cell (PEM-FC) stack and PEM water electrolyzer (PEM-WE), for a sustained power generation system (2.5kW). The main contribution of this work is the hybridization of alternate energy sources with the hydrogen conversion systems using mid-term and short-term storage models based in artificial intelligence techniques built from experimental data (measurements obtained from the site of interest), this models allow to obtain better accuracy in performance prediction (PVMSE=8.4%, PEM-FCMSE=2.4%, PEM-WEMSE=1.96%, GSRMSE=7.9%, WTMSE=14%) with a practical design and dynamic under intelligent control strategies to build an autonomous system.

A.U. Chvez-Ramrez; V. Vallejo-Becerra; J.C. Cruz; R. Ornelas; G. Orozco; R. Muoz-Guerrero; L.G. Arriaga

2013-01-01T23:59:59.000Z

55

This book contains the proceedings of the 20th edition of the Belgian-Netherlands Conference on Artificial Intelligence.  

E-Print Network (OSTI)

Preface This book contains the proceedings of the 20th edition of the Belgian-Netherlands and the Netherlands, but does not exclude contributions from other countries. The received submissions show that AI researchers in Belgium and the Netherlands continue to work actively in many different areas of artificial

Nijholt, Anton

56

An Artificial Neural Network Based on the Architecture of the Cerebellum for Behavior Learning  

Science Journals Connector (OSTI)

In the last decade, artificial intelligence (AI) pervades every aspect of ... and generalize sensory information. We propose an Artificial Neural Network (ANN) model based on that architecture....

Kenji Iwadate; Ikuo Suzuki; Michiko Watanabe

2014-01-01T23:59:59.000Z

57

E-Print Network 3.0 - artificial internal organ Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

artificial internal organ Page: << < 1 2 3 4 5 > >> 1 Yuanlin ZHANG Department of Computer Science, Summary: journal or conferences: Artificial Intelligence, International...

58

Artificial intelligence and the future  

Science Journals Connector (OSTI)

...There is a cat in the box. C: I understand. H: Is there a mammal in the box? C: Yes. Statements made...state-of-the-art systems (e.g. Shapiro 2000) offer mainly technical...psychological analysis. Academic. Shapiro, S. C. 2000 An introduction...

2003-01-01T23:59:59.000Z

59

Optimization Online - Varying the Population Size of Artificial ...  

E-Print Network (OSTI)

Mar 2, 2005 ... Varying the Population Size of Artificial Foraging Swarms on Time Varying ... Abstract: Swarm Intelligence (SI) is the property of a system...

Carlos Fernandes

2005-03-02T23:59:59.000Z

60

Computational intelligence in bioinformatics  

Science Journals Connector (OSTI)

Computational intelligence poses several possibilities in Bioinformatics, particularly by generating low-cost, low-precision, good solutions. Rough sets promise to open up an important dimension in this direction. The present article surveys the role ... Keywords: artificial neural networks, biological data mining, gene expression, genetic algorithms, proteins, rough sets, soft computing

Sushmita Mitra

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

To Appear in the Proceedings of the 1997 Meeting of the American Association of Artificial Intelligence. Learning in a Fuzzy Logic Robot Controller 1  

E-Print Network (OSTI)

Intelligence. Learning in a Fuzzy Logic Robot Controller 1 Douglas S. Blank and J. Oliver Ross University in robotics. Fuzzy logic controllers allow for the integration of high­level, human­ designed plans to operate a method for dealing with inexact variable values. A robot under the control of a fuzzy logic, behavior

Blank, Douglas

62

To Appear in the Proceedings of the 1997 Meeting of the American Association of Artificial Intelligence. Learning in a Fuzzy Logic Robot Controller1  

E-Print Network (OSTI)

Intelligence. Learning in a Fuzzy Logic Robot Controller1 Douglas S. Blank and J. Oliver Ross University in robotics. Fuzzy logic controllers allow for the integration of high-level, human- designed plans to operate a method for dealing with inexact variable values. A robot under the control of a fuzzy logic, behavior

Blank, Douglas

63

IAI : Biological Intelligence and Neural Networks John A. Bullinaria, 2005  

E-Print Network (OSTI)

Intelligent Things? 2. What are Neural Networks? 3. What are Artificial Neural Networks used for? 4. Introduction to Biological Neural Networks 5. Introduction to Artificial Neural Networks 6. Some Current Artificial Neural Networks Applications 7. Limitations of Artificial Neural Network Systems #12;W3-2 How do

Bullinaria, John

64

AITA : Biological Intelligence and Neural Networks John A. Bullinaria, 2003  

E-Print Network (OSTI)

Intelligent Things? 2. What are Neural Networks? 3. What are Artificial Neural Networks used for? 4. Introduction to Biological Neural Networks 5. Introduction to Artificial Neural Networks 6. Some Current Artificial Neural Networks Applications 7. Limitations of Artificial Neural Network Systems #12;W3s1-2 How do

Bullinaria, John

65

Application of artificial neural networks for damage indices classification with the use of Lamb waves for the aerospace structures.  

E-Print Network (OSTI)

Application of artificial neural networks for damage indices classification with the use of Lamb of view. Artificial neural network has been used for the classification of fatigue cracks and artificial@agh.edu.pl, *corresponding author Keywords: NDT, Ultrasonic testing, Lamb waves, Artificial intelligence, Artificial Neural

66

Artificial neural network ensemble approach for creating a negotiation model with ethical artificial agents  

Science Journals Connector (OSTI)

Negotiation is one of the most prevalent methods that agents, in a multi-agent system, use to reach agreements. Nowadays, one important aspect of negotiation is moral behaviors of agents that involve in negotiation. For this reason, we propose an ethical ... Keywords: artificial neural network, artificial neural networks ensemble, ensemble method, ethical agent, ethical reasoning, intelligent agent, negotiation

Banafsheh Rekabdar; Mahmood Joorabian; Bita Shadgar

2012-04-01T23:59:59.000Z

67

Artificial Photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

I Artificial Photosynthesis I - Design Principles for Light Harvesting FlemingSmall.png Key Challenges: Researchers measure a two-dimensional (2D) Fourier transform electronic...

68

Environmental Intelligence  

NLE Websites -- All DOE Office Websites (Extended Search)

Intelligence Intelligence Answering big questions about environmental change begins with many small measurements (continued on next page) NEWSLETTER OF Oak Ridge National Laboratory's Energy and Environmental Sciences Directorate E nvironmental intelligence is the wealth of information on the physical, biological, and chemical processes that drive Earth's ecosystems (its organisms, soil, air, and water) and the impact humans have on these ecosystems through our practices and developments. Such intelligence is often gathered though small, precise efforts to monitor complex environmental processes with sensing and measurement systems. By collecting new or more detailed observational data from a greater number of locations across the globe, researchers can improve scientific

69

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY  

E-Print Network (OSTI)

. Additional support is provided by: AT&T, Central Research Institute of Electric Power In­ dustry, Eastman Understanding how biological visual systems perform object recognition is one of the ultimate goals, 2000 This report describes research done within the Center for Biological and Computational Learning

Poggio, Tomaso

70

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY  

E-Print Network (OSTI)

. Additional support is provided by: AT&T, Central Research Institute of Electric Power In- dustry, Eastman Understanding how biological visual systems perform object recognition is one of the ultimate goals This report describes research done within the Center for Biological and Computational Learning

Poggio, Tomaso

71

Abstraction and reformulation in artificial intelligence  

Science Journals Connector (OSTI)

...problem. In planning a trip from the Eiffel Tower to the Sydney Opera House, for example, one would work out the entire route from Paris to Sydney before considering the route to take within Paris...

2003-01-01T23:59:59.000Z

72

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY  

E-Print Network (OSTI)

Chrysler experimental vehicle. As part of this thesis, we also present a system that, instead of detecting full pat. 1685 May 2000 A Trainable System for Object Detection in Images and Video Sequences Constantine P.ai.mit.edu. Abstract This thesis presents a general, trainable system for object detection in static images and video

Poggio, Tomaso

73

Human intelligence  

NLE Websites -- All DOE Office Websites (Extended Search)

intelligence intelligence Name: Megan Age: N/A Location: N/A Country: N/A Date: N/A Question: How did people start to learn things and talk and become more and more intelligent? Replies: Megan, You can view learning, talking and intelligence as fitting a person to become successful in living. Those who learn, for example, can learn things like hunting and growning crops; the alternative is not learning and simply starving. Talking can be seen as a way of communicating acquired knowledge which again could provide for success in survival, for example suggestions of how to gather and prepare food, or how to choose a mate. Those who do not share 'good ideas' by talking would be less likely to do as well in surviving. There fore, I see learning, talking and intelligence as requirements for survival. If you then toss in a bit of creativity, you have a recipe for what should be a competitive individual in living.

74

Artificial insemination  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial insemination Artificial insemination Name: Allison K Mocko Location: N/A Country: N/A Date: N/A Question: Is it true that when undergoing artificial insemination there is a greater chance of conceiving a boy? Why? Replies: I believe so. Normally the semen is centrifuged and the top fraction picked off for insemination. Sperm swim up by instinct, naturally, and so those that make it to the top in the artificially high gravity are the fittest of the bunch, to be preferred for insemination success. They also happen more often to be sperm carrying Y sex chromosomes. The Y chromosome is half the size of the X chromosome, so the sperm carrying it are lighter and tend to be able to swim faster. The same effect may operate in the natural process: the percentage of newborns that are boys is slightly higher than 50. The imbalance is corrected by the higher death rate of baby boys.

75

Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks  

E-Print Network (OSTI)

Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks Dan. Conclusion: Artificial neural networks can detect CAD in myocardial bull's-eye scintigrams with such a high significant potential. Key Words: diagnosis; computer-assisted; artificial intelligence; neural networks

Peterson, Carsten

76

Integrated intelligent systems in advanced reactor control rooms  

SciTech Connect

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.

Beckmeyer, R.R.

1989-01-01T23:59:59.000Z

77

Artificial insemination  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial insemination Artificial insemination Name: Sandy C. and Becca S. and Jessica M. Grade 7 Glen Crest Jr. High Status: N/A Age: N/A Location: N/A Country: N/A Date: N/A Question: Would it ever be possible for an animal to have another animals baby? For example, women can be impregnated without having intercourse now because of modern technology. So, could a cow for example carry an endangered species' offspring? Replies: Sandy, Becca, and Jessica, Is suspect that you have not received an answer to this question yet because there is not a definite answer. In order to bear offspring there are many factors that must be met. Primarily, the father and mother must be of the same species or at least very similar. There are so many new developments in the area of artificial insemination that it is hard to say no, a cow can not carry and endangered species, it is highly unlikely at this time. Keep up your curiosity, it is a characteristic of all scientists! (By the way I teach 6th grade science and am currently teaching a human growth and development unit in which the students have been asking questions very similar to yours).

78

Realizing artificial photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

Realizing artificial photosynthesis Authors: Gust, D., Moore, T. A., Moore, A. L. Title: Realizing artificial photosynthesis Source: Faraday Discussions Year: 2012 Volume: 155...

79

Phase synchronization and chaotic dynamics in Hebbian learned artificial recurrent neural networks  

E-Print Network (OSTI)

Phase synchronization and chaotic dynamics in Hebbian learned artificial recurrent neural networks: increasing the storing capacity of recurrent neural networks as much as possible and observing and studying Colin Molter, Utku Salihoglu and Hugues Bersini Laboratory of artificial intelligence IRIDIA cp194

Molter, Colin

80

Review: Computational intelligence in mass soldering of electronics - A survey  

Science Journals Connector (OSTI)

Mass soldering of electronic components is one of the key processes in electronics production, because it affects directly the functionality of the final product. Mass soldering, like other processes of manufacturing electronics, is constantly facing ... Keywords: Artificial neural network, Computational intelligence, Electronics, Soldering

Mika Liukkonen; Elina Havia; Yrj Hiltunen

2012-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Intelligent Extruder  

SciTech Connect

''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.

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

2003-04-24T23:59:59.000Z

82

Intelligent Spectrum Sensor Radio.  

E-Print Network (OSTI)

??A cognitive radio is a radio with built-in intelligence that makes it able to utilize the radio frequency spectrum more efficiently by adapting to the (more)

Mian, Omer

2008-01-01T23:59:59.000Z

83

Ambient intelligence: A survey  

Science Journals Connector (OSTI)

In this article we survey ambient intelligence (AmI), including its applications, some of the technologies it uses, and its social and ethical implications. The applications include AmI at home, care of the elderly, healthcare, commerce, and business, ... Keywords: Ambient intelligence, agents, assisted living, multiagent systems, social and ethical issues

Fariba Sadri

2011-10-01T23:59:59.000Z

84

An artificially intelligent data structure applicable to voice recognition environments  

E-Print Network (OSTI)

Edward Ster le, B. S. Texas A&M University Chairman of Advisory Committee: Dr. St, ephen Morgan This thesis discusses a data structure in a voice recognition environment called AND/OR goal trees. AND/OR goal trees with a recur sive decent par ser have.... . . . . . . . . 264 D4~2. Desrgn dragr am of the OR LIST routrne for the AND/OR goal tree parsen. . . . . . . . . . . . . . . . . 265 D4 3. Design diagram of the AND~LIST r outine for the AND/OR goal tree parser. . . . , . . . . . . . , . . . . . . . 266 E1 u1...

Sterle, Mark Edward

2012-06-07T23:59:59.000Z

85

Computer Science and Artificial Intelligence Laboratory Technical Report  

E-Print Network (OSTI)

data in a few instances [1]. Here we use the Neural Decoding Toolbox for Matlab [2] to show for data pre-processing and decoding analysis: · Signal Space Projection (SSP) applied with Brainstorm for Matlab. [3] Tadel F, Baillet S, Mosher JC, Pantazis D, Leahy RM. Brainstorm: A User- Friendly Application

Poggio, Tomaso

86

RESEARCH IN PROGRESS Recent and Current Artificial Intelligence  

E-Print Network (OSTI)

J. Rapa- port, Stuart C. Shapiro, Sargur N. Srihari, and Deborah Walters), more than 40 graduate.) Participants: Michael J. Almeida and Stuart C. Shapiro. A Knowledge-Based Approach to Natural Language. The system is being implemented in the SNePS Semantic Network Processing System, (Shapiro, 1979

Rapaport, William J.

87

Use of artificial intelligence for process modeling and control  

E-Print Network (OSTI)

and Neocognitron (Fukushima, 1975, 1980, 1988), Brain-State-in- a-I3ox (Anderson et al. , 1977), Aclsptive Heuristic Critic (13arto et al. , 1988), Simulated Annealing (Ifirkpatrick et al. , 1988; Rutenbar, 1989), I3oltzmann Machine (Ackly ct al. , 1985... ? ? )y, (k) + ? j, (z;(k)) + ? I, (k) (23) Direct application of the learning law involves forward integration of y, 's from ts to tf by Eq. (23) and backward integration of z, 's from tl to ts with the boundary condition z;(tf) = 0 by thc following...

You, Yong

2012-06-07T23:59:59.000Z

88

Artificial Intelligence for Explosive Ordnance Disposal System (AI-EOD)  

SciTech Connect

Based on a dynamically configurable neural net that learns in a single pass of the training data, this paper describes a system used by the military in the identification of explosive ordnance. Allowing the technician to input incomplete, contradictory, and wrong information, this system combines expert systems and neural nets to provide a state-of-the-art search, retrieval, and image and text management system.

Madrid, R.; Williams, B.; Holland, J.

1992-03-01T23:59:59.000Z

89

Artificial Intelligence for Explosive Ordnance Disposal System (AI-EOD)  

SciTech Connect

Based on a dynamically configurable neural net that learns in a single pass of the training data, this paper describes a system used by the military in the identification of explosive ordnance. Allowing the technician to input incomplete, contradictory, and wrong information, this system combines expert systems and neural nets to provide a state-of-the-art search, retrieval, and image and text management system.

Madrid, R.; Williams, B.; Holland, J.

1992-01-01T23:59:59.000Z

90

Encapsulating the meta-level knowledge in distributed artificial intelligence  

E-Print Network (OSTI)

single step. In this particular domain, there is no natural hierarchy to implement with a. multiple level, hierarchical blackboard. Researchers at the Boeing Company are also developing a blackboard system that can be abstractly specified [2... single step. In this particular domain, there is no natural hierarchy to implement with a. multiple level, hierarchical blackboard. Researchers at the Boeing Company are also developing a blackboard system that can be abstractly specified [2...

Underbrink, Alvin Joseph

2012-06-07T23:59:59.000Z

91

Beyond the macho approach of artificial intelligence: empower  

E-Print Network (OSTI)

in action, multifaceted architecture, user interfacesfor design, computer-supported cooperative work Design of these problems. The supporting of design with computers requires a cooperative problem-solving approach describes the motivation for the latter approach, and introduces an architecture for such design

Fischer, Gerhard

92

Hybrid renewable energy systems optimization based on artificial intelligence.  

E-Print Network (OSTI)

??In remote regions, electric energy is usually supplied by diesel generators for their reliability, low installation costs, ease of starting, compact power density and portability. (more)

Berrazouane, Sofiane

2014-01-01T23:59:59.000Z

93

An application of artificial intelligence for rainfallrunoff modeling  

E-Print Network (OSTI)

is necessary to avoid risks of rain on the catchments and to warn the floods. In the last decade, ANNs have for the Fraser River Watershed in Colorado, Tayfur and Singh (2006) used ANN and fuzzy logic models

Fernandez, Thomas

94

Hybrid artificial neural network  

Science Journals Connector (OSTI)

Artificial neural networks (ANNs) or simply neural networks (NNs) are now a consolidated technique ... , and simulate the behavior of the biological neural network in a human brain. For that purpose ... use a sta...

Nadia Nedjah; Ajith Abraham; Luiza M. Mourelle

2007-05-01T23:59:59.000Z

95

Artificial Neural Network  

Science Journals Connector (OSTI)

An artificial neural network (with acronym ANN), usually addressed as neural network (with acronym NN), is a model ... the structure and/or functional aspects of biological neural networks or human brain. A neural

Dr. Gmez Gonzlez Daniel

2013-01-01T23:59:59.000Z

96

Human intelligible positioning  

E-Print Network (OSTI)

We use street addresses to refer to locations in a city. Street addresses are easy to remember and communicate because they follow a symbolic addressing scheme, containing human intelligible symbols. However, street addresses ...

Venugopalan, Vishwanath, 1981-

2004-01-01T23:59:59.000Z

97

Intelligence with representation  

Science Journals Connector (OSTI)

...London: Professional Engi- neering Publishing Ltd. Nilson, N. 1984 Shakey the robot. Technical Report 323, SRI International, Menlo Park, CA. Pfeifer, R. & Scheier, C. 2000 Understanding intelligence. Cambridge, MA: MIT Press...

2003-01-01T23:59:59.000Z

98

A hybrid intelligent system for alarm processing in power distribution substations  

Science Journals Connector (OSTI)

This application paper presents an intelligent system for alarm processing and fault location in power substations. A hybrid model is constructed using rule-based systems and an artificial neural network. Incoming alarms are initially handled by an input ... Keywords: Expert systems, fault location, neural networks

J. C. Stacchini de Souza; M. B. Do Coutto Filho; R. S. Freund

2010-04-01T23:59:59.000Z

99

Synergistic approaches to mobile intelligent transportation systems considering low penetration rate  

Science Journals Connector (OSTI)

This paper investigates the effect of low penetration rate on mobile phone-based traffic state estimation (M-TES) models. Synergistic approaches, including an appropriate genetic algorithm (GA) based velocity-density estimation model and a notable artificial ... Keywords: Low penetration rate, Mobile intelligent transportation systems (MIT), Mobile probe, Traffic state estimation

T. M. Quang; Muhammad Ariff Baharudin; Eiji Kamioka

2014-02-01T23:59:59.000Z

100

Adaptive noise filtering based on artificial hydrocarbon networks: An application to audio signals  

Science Journals Connector (OSTI)

Abstract Many audio signal applications are corrupted by noise. In particular, adaptive filters are frequently applied to white noise reduction in audio. Recent work provides that there exist some insights on using an artificial intelligence method called artificial hydrocarbon networks (AHNs) for filtering audio signals. Thus, the scope of this paper is to design and implement a novel approach of artificial hydrocarbon networks on adaptive filtering for audio signals. Three experiments were developed. Results demonstrate that \\{AHNs\\} can reduce noise from audio signals. A comparison between the proposed algorithm and a FIR-filter is also provided. The short-time objective intelligibility value (STOI) and the signal-to-noise ratio (SNR) were used for evaluation. At last, the proposed training method for finding the parameters involved in the AHN-filter can also be used in other fields of application.

Hiram Ponce; Pedro Ponce; Arturo Molina

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Artificial Retina Implant Eligibility  

NLE Websites -- All DOE Office Websites (Extended Search)

CRADA Established October 14, 2004 CRADA Established October 14, 2004 A Joint Research Partnership Between the U.S. Department of Energy (DOE), DOE Laboratories, Universities, and a Private Company On October 14, 2004, the Department of Energy and Second Sight Medical Products, Inc. of Sylmar, California, held a press conference to announce the formal signing of a CRADA* for the Artificial Retina Project. This press conference included a speech by Energy Secretary Abraham, five minute video presentation, and multiple press releases. The press releases and video are listed below. Video A video explaining the artificial retina project and retinitis pigmentosa was shown during the press conference. This video is available on the video page. "See Artificial Retina Project Overview."

102

Composite Artificial Neural Network for Controlling Artificial Flying Creature  

Science Journals Connector (OSTI)

This paper proposes a composite artificial neural network (CANN). The CANN is a method that contains concepts of an evolutionary artificial neural network, a neural network ensemble and subsumption architecture, ...

Ryosuke Ooe; Ikuo Suzuki; Masahito Yamamoto

2013-01-01T23:59:59.000Z

103

An artificial neural network representation for artificial organisms  

Science Journals Connector (OSTI)

We introduce an artificial neural network (ANN) representation that supports the evolution of complex behaviors in artificial organisms. The strength and location of each connection in the network is specified by...

Robert J. Collins; David R. Jefferson

1991-01-01T23:59:59.000Z

104

Artificial Heart Valve Design  

E-Print Network (OSTI)

Artificial Heart Valve Design Your Chance to be a Biomedical Engineer #12;Circulatory System Video #12;What is a Heart Valve? · Heart Valve Video #12;#12;What Does a Heart Valve Do? · Maintain the one direction flow of blood through the heart · Heart valves allow blood to flow through in a forward direction

Provancher, William

105

Aircraft System Identification Using Artificial Neural Networks  

E-Print Network (OSTI)

Aircraft System Identification Using Artificial Neural Networks Kenton Kirkpatrick , Jim May Jr Artificial Neural Network System Identification, has the advantages of being straightforward with low for aircraft using an artificial neural network (ANN). Artificial neural networks are useful for creating

Valasek, John

106

Department of Physics Artificial Life  

E-Print Network (OSTI)

;2 The second kind of artificial life is hardware-based (Hard ALife). 1 It produces hardware implementations of life-like systems. Examples of hardware based artificial life are autonomous robots. In this seminar weDepartment of Physics Artificial Life: Vesicles and Synthesis of a Minimal Cell Seminar Marusa

?umer, Slobodan

107

Artificial Photosynthesis and Solar Fuels  

Science Journals Connector (OSTI)

Artificial Photosynthesis and Solar Fuels ... This special issue collects Accounts on natural photosynthetic principles, as well as biomimetic and artificial photosynthetic systems. ... Research directed toward understanding molecular mechanisms of photosynthetic energy conversion and biomimetic systems, which may provide strategies for artificial photosynthesis, is presented. ...

Leif Hammarstrm; Sharon Hammes-Schiffer

2009-12-21T23:59:59.000Z

108

LCA and Environmental Intelligence?  

Science Journals Connector (OSTI)

LCA and Environmental Intelligence? ... Graedel and Allenby define LCA as an objective process to evaluate the environmental burdens associated with a product, process or activity?... and to evaluate and implement opportunities to effect environmental improvements (Industrial Ecology, 2nd ed., Prentice Hall: New York, 2003 [my emphasis]). ... But is LCA really objective? ...

Jerald L. Schnoor

2009-04-10T23:59:59.000Z

109

Marketing Intelligence Spring 2009  

E-Print Network (OSTI)

- 1 - Marketing Intelligence Syllabus Spring 2009 #12;- 2 - Course Description: The practice of marketing is changing. Due to increasing desktop computing power and companies amassing massive amounts of data, marketing decisions made by companies are becoming more and more data based. This holds in many

Jank, Wolfgang

110

Utility Theory Social Intelligence  

E-Print Network (OSTI)

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

Polani, Daniel

111

Gamifying intelligent environments  

Science Journals Connector (OSTI)

Recently digital designers have begun to integrate game elements and mechanics into non-game applications, systems, and services, to better engage end-users. This notion is named as the "gamification". In this paper, we discuss the idea of applying the ... Keywords: crowdsourcing, game-based motivation mechanism, gamification, intelligent environments, persuasive system, user engagement

Yefeng Liu; Todorka Alexandrova; Tatsuo Nakajima

2011-12-01T23:59:59.000Z

112

Byland's artificial retina story  

NLE Websites -- All DOE Office Websites (Extended Search)

Vision Quest Pioneer: Artificial Retina Recipient Sees Brighter Future Vision Quest Pioneer: Artificial Retina Recipient Sees Brighter Future Byland and Humayun Terry Byland and Dr. Mark Humayun at a 2006 Council for Competitiveness event. When Terry Byland began having trouble seeing in the dim light of dark restaurants and nightclubs, he wasn't overly concerned. Soon after, however, the problem began to affect his night driving. A year later, he went to an ophthalmologist to have his eyes checked. He wasn't prepared for the grave diagnosis: Retinitis pigmentosa (RP). "What's going to happen to me?" Byland asked his doctor, who told him that eventually he could go blind. RP is a group of relatively rare inherited eye diseases that attack the photoreceptor cells in the retina, affecting about 1 in 4,000 people. Symptoms begin with night blindness, generally progressing to tunnel vision

113

Artificial Retina Project Collaborators  

NLE Websites -- All DOE Office Websites (Extended Search)

Collaborators map Map of project collaborators and descriptions of their primary contributions. Click on map for larger image. Artificial Retina Project Collaborators An effort spanning 6 DOE national laboratories, 4 universities, and private industry Multidisciplinary groups across the United States are using a highly focused and coordinated approach to develop a dramatically improved retinal prosthetic device to restore sight to the blind. The Doheny Eye Institute, Oak Ridge National Laboratory, and Second Sight(tm) Medical Products, Inc., lead the collaborative effort through an executive committee. Meet the Team Doheny logo Doheny Eye Institute at the University of Southern California Provided medical direction and performs preclinical and clinical testing of the electrode array implants. Leads the Artificial Retina Project.

114

Artificial Neural Network Applied to Prediction of Fluorquinolone Antibacterial Activity by Topological Methods  

Science Journals Connector (OSTI)

This method uses neural networks in which training algorithms are used as well as different concepts and methods of artificial intelligence with a suitable set of topological descriptors. ... The artificial neural network seeks to capitalize upon this design by providing a network of neurons, arranged in layers, which all contribute in some measure to complex decisions. ... In the typical neural net every connection between two neurons is associated with a weight, a positive or negative real number which multiplies the signal from the preceding neuron. ...

Jos Jan-Oltra; Ma Teresa Salabert-Salvador; Francisco J. Garca-March; Facundo Prez-Gimnez; Francisco Toms-Vert

2000-02-24T23:59:59.000Z

115

Intelligence team given national honor  

NLE Websites -- All DOE Office Websites (Extended Search)

secrecy and urgent consequence." The award was presented to the Laboratory Wednesday by Bruce Held, the director of the Department of Energy's Office of Intelligence and...

116

ACEEE Intelligent Efficiency Conference | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ACEEE Intelligent Efficiency Conference ACEEE Intelligent Efficiency Conference November 16, 2014 2:00PM EST to November 18, 2014 10:00PM EST Learn more...

117

Inverter Cost Analysis and Marketing Intelligence | Department...  

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

and Marketing Intelligence Inverter Cost Analysis and Marketing Intelligence 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and...

118

Artificial leaf jumps developmental hurdle  

NLE Websites -- All DOE Office Websites (Extended Search)

Bisfuel Picture Gallery Artificial leaf jumps developmental hurdle 18 Feb 2014 by Jenny Green: In a recent early online edition of Nature Chemistry, ASU scientists, along with...

119

Joint Center for Artificial Photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

implementation of an integrated solar-fuels generator based on artificial photosynthesis. Current development work in the program is focused on the design of prototype...

120

Joint Center for Artificial Photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

associates. Research Interests Dr. Lewis's research interests include artificial photosynthesis and electronic noses. Technical details of these research topics focus on...

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Joint Center for Artificial Photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

North JCAP Headquarters Joint Center for Artificial Photosynthesis California Institute of Technology Jorgensen Laboratory, Mail Code 132-80 1200 East California Boulevard...

122

Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks  

E-Print Network (OSTI)

Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks #12;Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2

Kjellström, Hedvig

123

Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks  

E-Print Network (OSTI)

Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization Artificial Neural Networks Artificial Neural Networks Single Layer Networks Multi Layer Networks Generalization 1 Artificial Neural Networks Properties Applications Classical Examples Biological Background 2 Single Layer

Kjellström, Hedvig

124

What are Intelligent Transportation Intelligent Transportation Systems (ITS) are  

E-Print Network (OSTI)

What are Intelligent Transportation Systems? Intelligent Transportation Systems (ITS) are existing, combined in innovative ways, integrated into the management of our multimodal transportation system aimed at saving lives, time, and resources. Transportation is the backbone of our society-- the movement of people

Bertini, Robert L.

125

Solar Fuels via Artificial Photosynthesis  

Science Journals Connector (OSTI)

Solar Fuels via Artificial Photosynthesis ... Indeed, all of the fossil-fuel-based energy consumed today derives from sunlight harvested by photosynthetic organisms. ... One is artificial photosynthesis, the use of the fundamental science underlying photosynthetic energy conversion to design synthetic systems for converting light into stored chemical energy. ...

Devens Gust; Thomas A. Moore; Ana L. Moore

2009-11-10T23:59:59.000Z

126

Cryogenic Microwave Anisotropic Artificial Frank Trang  

E-Print Network (OSTI)

Cryogenic Microwave Anisotropic Artificial Materials by Frank Trang B.S., University of California entitled: Cryogenic Microwave Anisotropic Artificial Materials written by Frank Trang has been approved.D., Electrical Engineering) Cryogenic Microwave Anisotropic Artificial Materials Thesis directed by Professor

Popovic, Zoya

127

The limits of intelligence in design  

SciTech Connect

A new, comprehensive design theory is presented, applicable to all design domains such as engineering and industrial design, architecture, city and regional planning, and, in general, any goal-oriented activity that involves decision making. The design process is analyzed into fundamental activities that are characterized with respect to the nature of knowledge requirements and the degree to which they can be specified and delegated to others, in general, and to computers in particular. The characterization of design problems as ``wicked,`` or ``ill-defined,`` design has been understood as a rational activity, that is ``thinking before acting.`` The new theory presented in this paper suggests that design is ``thinking and feeling while acting,`` supporting the position that design is only partially rational. Intelligence, ``natural`` or ``artificial,`` is only one of two requirements for design, the other being emotions. Design decisions are only partially inferred, that is, they are not entirely the product of reasoning. Rather, design decisions are based on judgment that requires the notion of ``good`` and ``bad,`` which is attributed to feelings, rather than thoughts. The presentation of the design theory extends to the implications associated with the limits of intelligence in design, which, in turn, become constraints on the potential role of computers in design. Many of the current development efforts in computer-aided design violate these constraints, especially in the implementation of expert systems and multi-criterion evaluation models. These violations are identified and discussed in detail. Finally, specific areas for further research and development in computer-aided design are presented and discussed.

Papamichael, K. [Lawrence Berkeley Lab., CA (United States); Protzen, J.P. [California Univ., Berkeley, CA (United States). Dept. of Architecture

1993-05-01T23:59:59.000Z

128

Artificial Production of Neutrons  

Science Journals Connector (OSTI)

A porcelain vacuum tube capable of producing currents of positive ions up to 30 microamperes and with energies up to 106 electron-volts has been constructed and used for artificial disintegration experiments. Neutrons have been produced by bombarding beryllium with helium ions, and by bombarding lithium and beryllium with the ions of the heavy isotope of hydrogen. The curve obtained for the efficiency of production of neutrons by helium ions as a function of voltage is in agreement with the curve obtained by a downward extrapolation of curves known from work with polonium ?-particles. The present paper is mainly a discussion of the apparatus and methods of measurement, since brief reports of the results have already been presented.

H. R. Crane; C. C. Lauritsen; A. Soltan

1934-04-15T23:59:59.000Z

129

Development of Artificial Ash Accelerated Accumulation Test ...  

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

Artificial Ash Accelerated Accumulation Test Development of Artificial Ash Accelerated Accumulation Test Poster presented at the 16th Directions in Engine-Efficiency and Emissions...

130

Artificial photosynthesis combines biology with technology for...  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial photosynthesis combines biology with technology for sustainable energy transformation Authors: Moore, T.A., Moore, A.L., and Gust, D. Title: Artificial photosynthesis...

131

Microsoft Word - ArtificialPhotosynthesis bh  

NLE Websites -- All DOE Office Websites (Extended Search)

electrochemical cell setup for ambient- pressure XPS investigations of artificial photosynthesis process In Situ X-ray Photoelectron Spectroscopy of a Catalyst for Artificial...

132

NETL: News Release - DOE, Tampa Electric Sign Agreement to add Intelligent  

NLE Websites -- All DOE Office Websites (Extended Search)

DOE, Tampa Electric Sign Agreement to Add 'Intelligent' Computer System to Florida Power Plant DOE, Tampa Electric Sign Agreement to Add 'Intelligent' Computer System to Florida Power Plant Latest Effort to Apply 'Neural Networks' To Upgrade Power Plant Performance - Tampa Electric's Big Bend Power Plant - Tampa Electric's Big Bend Power Plant in Florida will soon use artificial intelligence to keep its boilers clean and reduce air pollutants. Photo: Tampa Electric Co TAMPA, FL -The U.S. Department of Energy has signed an agreement with Tampa Electric Power Company to demonstrate how advances in 21st century computer technology can make a vintage-1970s coal-fired power plant run cleaner and more efficiently. The agreement calls for engineers to install a new "neural network-driven" computer system in one of the boiler units at the Big Bend Station near

133

Robotic intelligence kernel  

DOE Patents (OSTI)

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.

Bruemmer, David J. (Idaho Falls, ID)

2009-11-17T23:59:59.000Z

134

Classifying Artificial Neural Network Architecture  

Science Journals Connector (OSTI)

Most Artificial Neural Network architecture appears to be heuristic in conception; ... be preferable to develop a formal taxonomy for Neural Networks in order that network size and designs may be matched more ......

Dr J. P. Evans

1990-01-01T23:59:59.000Z

135

The AMPTE artificial comet experiments  

Science Journals Connector (OSTI)

... camera installed and run by a team from the MPE aboard an Argentinean Air Force Boeing 707 which was cruising 2,000 km south of Tahiti11. The observer's line- ... of the first artificial comet.

A. Valenzuela; G. Haerendel; H. Fppl; F. Melzner; H. Neuss; E. Rieger; J. Stcker; O. Bauer; H. Hfner; J. Loidl

1986-04-24T23:59:59.000Z

136

One approach to artificial photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

One approach to artificial photosynthesis Authors: Llansola-Portols, M.J., Palacios, R.E., Kodis, G., Megiatto, J.D., Moore, A.L., Moore, T. A., and Gust, D. Title: One approach...

137

Solar Fuels via Artificial Photosynthesis  

NLE Websites -- All DOE Office Websites (Extended Search)

Solar Fuels via Artificial Photosynthesis 24 Aug 2010 Devens Gust, Thomas Moore and Ana Moore are the authors of one of 10 Most-Accessed Articles from one of the Highest Impact...

138

Detecting Discrepancies and Improving Intelligibility  

E-Print Network (OSTI)

Detecting Discrepancies and Improving Intelligibility: Two Preliminary Evaluations of RIPTIDES evaluations of RIPTIDES, a sys- tem that combines information extraction (IE), extraction-based sum unduly sacrificing content relevance. 1 Introduction We report on two preliminary evaluations of RIPTIDES

Wagstaff, Kiri L.

139

Intelligent Infrastructure for Energy Efficiency  

Science Journals Connector (OSTI)

...their faults. Intelligent infrastructure extends smart grid initiatives that seek to save energy by allowing utilities...4 National Institute of Standards and Technology , Smart Grid Interoperability Standards Project (http://nist...

Neil Gershenfeld; Stephen Samouhos; Bruce Nordman

2010-02-26T23:59:59.000Z

140

Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models  

Science Journals Connector (OSTI)

It is commonly perceived that how well the planning is performed during the early stage will have significant impact on final project outcome. This paper outlines the development of artificial neural networks ensemble and support vector machines classification models to predict project cost and schedule success, using status of early planning as the model inputs. Through industry survey, early planning and project performance information from a total of 92 building projects is collected. The results show that early planning status can be effectively used to predict project success and the proposed artificial intelligence models produce satisfactory prediction results.

Yu-Ren Wang; Chung-Ying Yu; Hsun-Hsi Chan

2012-01-01T23:59:59.000Z

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While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


141

Components of Swarm Intelligence  

SciTech Connect

This paper discusses the successes and failures over the past three years as efforts at the Idaho National Engineering and Environmental Laboratory (INEEL) have developed and evaluated robot behaviors that promote the emergence of swarm intelligence. Using a team of 12 small robots with the ability to respond to light and sound, the INEEL has investigated the fundamental advantages of swarm behavior as well as the limitations of this approach. The paper discusses the ways in which biology has inspired this work and the ways in which adherence to the biological model has proven to be both a benefit and hindrance to developing a fieldable system. The paper outlines how a hierarchical command and control structure can be imposed in order to permit human control at a level of group abstraction and discusses experimental results that show how group performance scales as different numbers of robots are utilized. Lastly, the paper outlines the applications for which the resulting capabilities have been applied and demonstrated.

David Bruemmer; Donald Dudenhoeffer; Matthew Anderson; Mark McKay

2004-03-01T23:59:59.000Z

142

How the Artificial Retina Works  

NLE Websites -- All DOE Office Websites (Extended Search)

the Artificial Retina Works the Artificial Retina Works Artificial Retina Diagram Normal vision begins when light enters and moves through the eye to strike specialized photoreceptor (light-receiving) cells in the retina called rods and cones. These cells convert light signals to electric impulses that are sent to the optic nerve and the brain. Retinal diseases like age-related macular degeneration and retinitis pigmentosa destroy vision by annihilating these cells. With the artificial retina device, a miniature camera mounted in eyeglasses captures images and wirelessly sends the information to a microprocessor (worn on a belt) that converts the data to an electronic signal and transmits it to a receiver on the eye. The receiver sends the signals through a tiny, thin cable to the microelectrode array, stimulating it to emit pulses. The artificial retina device thus bypasses defunct photoreceptor cells and transmits electrical signals directly to the retina's remaining viable cells. The pulses travel to the optic nerve and, ultimately, to the brain, which perceives patterns of light and dark spots corresponding to the electrodes stimulated. Patients learn to interpret these visual patterns.

143

Safeguards in a World of Ambient Intelligence  

Science Journals Connector (OSTI)

Ambient Intelligence is a vision of the future information society stemming from the convergence of ubiquitous computing, ubiquitous communication and intelligent user-friendly interfaces. Beyond the possible ben...

Michael Friedewald

2005-01-01T23:59:59.000Z

144

MAS.963 Ambient Intelligence, Spring 2004  

E-Print Network (OSTI)

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

Maes, Patricia

145

Artificial Retina In the News  

NLE Websites -- All DOE Office Websites (Extended Search)

Press Releases Press Releases News Articles Press Releases Mark Humayun Inducted into Institute of Medicine Institute of Medicine press release, 10/12/2009 Artificial Retina Project Wins Prestigious 2009 R&D 100 Award Article and multiple press releases, 07/20/2009 Second Sight to Double Patient Enrollment for Argus(tm) II Retinal Implant U.S. Clinical Trial Second Sight press release, 05/04/09 See more releases in Press Release Archive Recent Articles Bionic eye opens new world of sight for blind National Public Radio, October 20, 2009 Burst of technology helps blind to see New York Times, September 26, 2009 Artificial retina project has ORNL roots ORNL Reporter, August 28, 2009 The "holy grail" of ophthalmic devices Assembly Magazine, August 20, 2009 Artificial-retina project designed to restore sight to the blind

146

Intelligent Agents on the Web: A Review  

Science Journals Connector (OSTI)

Intelligent agents are goal-driven and autonomous and can communicate and interact with each other. Moreover they can evaluate information obtained online from heterogeneous sources and present information tailored to an individual's needs. This article covers different facets of the intelligent agent paradigm and applications while also exploring new opportunities and trends for intelligent agents.

Noureddine Boudriga; Mohammad S. Obaidat

2004-01-01T23:59:59.000Z

147

Intelligent wind power prediction systems final report  

E-Print Network (OSTI)

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

148

LEARNING BY DOING WITH SIMULATED INTELLIGENT HELP  

E-Print Network (OSTI)

ARTICLES LEARNING BY DOING WITH SIMULATED INTELLIGENT HELP Intelligent advisory interfaces will afford new approaches to help and training problems, however little is known about the usability of such facilities. This recent study indicates that although intelligent help can support users, there are also

Carroll, John M.

149

Joint Center for Artificial Photosynthesis  

ScienceCinema (OSTI)

The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology. Established in 2010 as a U.S. Department of Energy (DOE) Energy Innovation Hub, JCAP aims to find a cost-effective method to produce fuels using only sunlight, water, and carbon dioxide as inputs. JCAP brings together more than 140 top scientists and researchers from the California Institute of Technology and its lead partner, Berkeley Lab, along with collaborators from the SLAC National Accelerator Laboratory, and the University of California campuses at Irvine and San Diego.

Koval, Carl; Lee, Kenny; Houle, Frances; Lewis, Nate

2013-12-19T23:59:59.000Z

150

Joint Center for Artificial Photosynthesis  

SciTech Connect

The Joint Center for Artificial Photosynthesis (JCAP) is the nation's largest research program dedicated to the development of an artificial solar-fuel generation technology. Established in 2010 as a U.S. Department of Energy (DOE) Energy Innovation Hub, JCAP aims to find a cost-effective method to produce fuels using only sunlight, water, and carbon dioxide as inputs. JCAP brings together more than 140 top scientists and researchers from the California Institute of Technology and its lead partner, Berkeley Lab, along with collaborators from the SLAC National Accelerator Laboratory, and the University of California campuses at Irvine and San Diego.

Koval, Carl; Lee, Kenny; Houle, Frances; Lewis, Nate

2013-12-10T23:59:59.000Z

151

Sandia National Laboratories: Research: Intelligent Systems, Robotics, &  

NLE Websites -- All DOE Office Websites (Extended Search)

Swarm Control Technology Swarm Control Technology Swarm A Swarm of Robots Swarm behavior in artificial intelligence is explained as a group of robots working together as a team, much like a swarm of bees or ants. Swarm behavior occurs in nature and we try to mimic this behavior in robotic machines. Robotic Vehicle Squads Cooperating squads of robotic vehicles could be used for fighting forest fires, cleaning up oil spills, delivering and distributing supplies to remote field operations and conducting military missions. Need Using robotic vehicles in place of a human in potentially dangerous situations reduces the risk to human lives. Because a single operator can plan a set of tasks for a squad of robotic vehicles, the coordinated system can significantly increase the effectiveness of a single warfighter in the

152

Artificial Muscle Inc | Open Energy Information  

Open Energy Info (EERE)

Artificial Muscle Inc Artificial Muscle Inc Jump to: navigation, search Name Artificial Muscle Inc Place California Zip CA 94085 Product Artificial Muscle develops electroactive polymer technology used for sensing, actuating and electric power generation applications. References Artificial Muscle Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This company is listed in the Marine and Hydrokinetic Technology Database. This article is a stub. You can help OpenEI by expanding it. Artificial Muscle Inc is a company located in California . References ↑ "Artificial Muscle Inc" Retrieved from "http://en.openei.org/w/index.php?title=Artificial_Muscle_Inc&oldid=678882" Categories: Clean Energy Organizations Companies Organizations

153

A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS  

E-Print Network (OSTI)

A VALIDATION INDEX FOR ARTIFICIAL NEURAL NETWORKS Stephen Roberts, Lionel Tarassenko, James Pardey and estimation properties of artificial neural networks. Like many `traditional' statistical techniques & David Siegwart Neural Network Research Group Department of Engineering Science University of Oxford, UK

Roberts, Stephen

154

Artificial Neural Network Resistance to Incomplete Data  

Science Journals Connector (OSTI)

This paper presents results obtained in experiments related to artificial neural networks. Artificial neural networks have been trained with delta-bar-delta ... the experiment was to observe how long will neural

Magdalena Alicja Tkacz

2006-01-01T23:59:59.000Z

155

Aircraft System Identification Using Artificial Neural Networks  

E-Print Network (OSTI)

Artificial neural networks o Require minimal user input o Easily implemented o Robust to noise o Fast #12 interactions between neurons that pass electrochemical signals between each other Artificial neural networks

Valasek, John

156

An Investigation of Artificial Neural Network Architectures in Artificial Life Implementations  

E-Print Network (OSTI)

An Investigation of Artificial Neural Network Architectures in Artificial Life Implementations environments. It is used to examine how different designs for the ants' Artificial Neural Network (ANN) brains aspects of the simulations was to test different artificial neural network structures as the controlling

Güngör, Tunga

157

Semiring Artificial Neural Networks and Weighted Automata  

E-Print Network (OSTI)

Semiring Artificial Neural Networks and Weighted Automata And an Application to Digital Image neural networks and weighted automata. For this task, we introduce semiring artificial neural networks, that is, artificial neural networks which implement the addition and the multiplication of semirings. We

Hoelldobler, Steffen

158

Object Oriented Artificial Neural Network Implementations  

E-Print Network (OSTI)

1 Object Oriented Artificial Neural Network Implementations W. Curt Lefebvre Jose C. Principe Neuro artificial neural networks (ANNs). The conven- tion for ANN simulation has been a direct implementation to develop a graphical artificial neural network simulation environment motivated towards the pro- cessing

Slatton, Clint

159

Online learning processes artificial neural networks  

E-Print Network (OSTI)

On­line learning processes in artificial neural networks Tom M. Heskes Bert Kappen Department, The Netherlands. Abstract We study on­line learning processes in artificial neural networks from a general point. Elsevier, pages 199-- 233. #12; On­line learning processes in artificial neural networks 1 1 Introduction 1

Heskes, Tom

160

Artificial Fishes: Physics, Locomotion, Perception, Behavior  

E-Print Network (OSTI)

Artificial Fishes: Physics, Locomotion, Perception, Behavior Xiaoyuan Tu and Demetri Terzopoulos the approach, we develop a physics­based, virtual marine world. The world is inhabited by artificial fishes. As in nature, the detailed motions of artificial fishes in their vir­ tual habitat are not entirely predictable

Toronto, University of

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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161

Artificial Fishes: Physics, Locomotion, Perception, Behavior  

E-Print Network (OSTI)

Artificial Fishes: Physics, Locomotion, Perception, Behavior Xiaoyuan Tu and Demetri Terzopoulos-based, virtual marine world. The world is inhabited by artificial fishes that can swim hydrodynamically of artificial fishes in their virtual habitat are not entirely predictable because they are not scripted. 1

Terzopoulos, Demetri

162

Intelligent Radio Frequency (RF) Monitoring  

E-Print Network (OSTI)

? Intelligent Radio Frequency (RF) Monitoring ? 2009 Armstrong International, Inc. www.armstronginternational.com 2 ?Expect many enjoyable experiences!? David M. Armstrong Present Process Challenges ? Identifying a failure ? Procedure.... Armstrong Steam Trap Challenges ? Identifying a failure ? Manpower ? Location ? Magnitude of failure ? Energy loss ? Loss of heat transfer ? Justification for repair ? ?Speed of Implementation? ? Environmental concerns Manpower Location 4...

Kimbrough, B.

163

The DOE Artificial Retina Project  

NLE Websites -- All DOE Office Websites (Extended Search)

ENvisioNiNG siGht for thE BLiND ENvisioNiNG siGht for thE BLiND The DOE Artificial Retina Project Leveraging DOE expertise to enhance the quality of life for millions Major advances achieved by researchers in the U.S. Department of Energy's (DOE) Artificial Retina Project are beginning to offer some hope to millions of people blinded by retinal diseases worldwide. In a breakthrough operation performed by project leaders at the Doheny Eye Institute (University of Southern California) in 2002, doctors threaded an electrode-studded array through an incision into the eye of a man who had been blind for 50 years and tacked it onto his damaged retina. Within weeks, the 77-year-old patient could see patterns of light and dark that allowed him to detect motion and locate and differentiate

164

Artificial Retina Implant Patient Stories  

NLE Websites -- All DOE Office Websites (Extended Search)

Interviews with Artificial Retina Recipients Interviews with Artificial Retina Recipients Image of Mr. R Mr. R: Argus II recipient (Italy) You Tube video (2012; 2011 implantee) Image of Mr. F Mr. F: Argus II recipient (Italy) You Tube video (2012; 2011 implantee) Image of Mr. P Mr. P: Argus II recipient (France) You Tube video (2012; 2009 implantee) Image of Mr. K Mr. K: Argus II recipient (England) You Tube video (2012; 2009 implantee) Image promoting Mail Online Article Peter L.: Blind man fitted with 'bionic eye' sees for first time in 30 years Mail Online (UK) (2009) Image promoting Mail Online Article Barbara C .: Blind U.S. woman has experimental electronic eye implant CNN video and article (2009) NDTV video and article (2009) Image promoting BBC story Ron: The man with the bionic eye BBC Video and article (2009)

165

Artificial neural network modeling and cluster analysis for organic facies and burial history estimation using well log data: A case study of the South Pars Gas Field, Persian Gulf, Iran  

Science Journals Connector (OSTI)

Intelligent and statistical techniques were used to extract the hidden organic facies from well log responses in the Giant South Pars Gas Field, Persian Gulf, Iran. Kazhdomi Formation of Mid-Cretaceous and Kangan-Dalan Formations of Permo-Triassic Data ... Keywords: Artificial neural network, Burial history, Cluster analysis, Organic facies, Rock-Eval pyrolysis, Well log data

Bahram Alizadeh; Saeid Najjari; Ali Kadkhodaie-Ilkhchi

2012-08-01T23:59:59.000Z

166

Optimization of operating conditions for steam turbine using an artificial neural network inverse  

Science Journals Connector (OSTI)

Abstract The useful life (UL) of the failure assessment in blades of steam turbines is optimized using the artificial intelligence. The objective of this paper is to develop an integrated approach using artificial neural network inverse (ANNi) coupling with a Nelder Mead optimization method to estimate the resonance stress when the UL of the blades is required. The proposed method \\{ANNi\\} is a new tool which inverts the artificial neural network (ANN). Firstly, It is necessary to build the artificial neural network (ANN) that simulates the output parameter (UL). ANN's model is constituted of feedforward network with one hidden layer to calculate the output of the process when input parameters are well known, then inverting ANN. The \\{ANNi\\} could be used as a tool to estimate the optimal unknown parameter required (resonance stress). Very low percentage of error and short computing time are precise and efficient, make this methodology (ANNi) attractive to be applied for control on line the UL of the system and constitutes a very promising framework for finding set of good solutions.

Y.El. Hamzaoui; J.A. Rodrguez; J.A. Hernndez; Victor Salazar

2015-01-01T23:59:59.000Z

167

About the Artificial Retina Project  

NLE Websites -- All DOE Office Websites (Extended Search)

Overview of the Overview of the Artificial Retina Project The DOE Artificial Retina Project was a multi-institutional collaborative effort to develop and implant a device containing an array of microelectrodes into the eyes of people blinded by retinal disease. The ultimate goal was to design a device to help restore limited vision that enables reading, unaided mobility, and facial recognition. The device is intended to bypass the damaged eye structure of those with retinitis pigmentosa and macular degeneration. These diseases destroy the light-sensing cells (photoreceptors, or rods and cones) in the retina, a multilayered membrane located at the back of the eye. For more information, see How the Artificial Retina Works. History The DOE project builds on the foundational work of its leader, Mark Humayun at the Doheny Eye Institute of the University of Southern California. In a breakthrough operation performed in 2002, a team led by Humayun successfully implanted the first device of its kind-an array containing 16 microelectrodes-into the eye of a patient who had been blind for more than 50 years. Since then, more than 30 additional volunteers around the world have had first- or second-generation (60-electrode) devices implanted. These devices enable patients to distinguish light from dark and localize large objects. For more information, read patient stories.

168

Intelligence & Counterintelligence (WFP) | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

future. Intelligence & Counterintelligence Responsible Contacts Thomas Wheeler Director, Workforce Analysis & Planning Division E-mail thomas.wheeler@hq.doe.gov Phone (202)...

169

Intelligent fault diagnosis of power transmission line; -.  

E-Print Network (OSTI)

??This dissertation presents the application of recent intelligent newlinetechniques for fault diagnosis in electrical power transmission line Fault newlinesection identification classification and location are the (more)

Malathi, V

2014-01-01T23:59:59.000Z

170

Sandia National Laboratories: Research: Intelligent Systems,...  

NLE Websites -- All DOE Office Websites (Extended Search)

Remotely Operated Weapon Systems (ROWS) Intelligent Systems, Robotics, & Cybernetics (ISRC) has leveraged its long history and experience in the design and development of automated...

171

Intelligent Rail Networks | GE Global Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Smoother Rail Traffic Intelligent Rail Networks Enable Smoother Rail Traffic A delayed train is more than just an inconvenience; it can disrupt the flow of goods and commerce...

172

Robotic Intelligent System | GE Global Research  

NLE Websites -- All DOE Office Websites (Extended Search)

Imagine an intelligent system managing the surgical tool sterilization process in a hospital-ensuring safe delivery of care, enabling new levels of hospital efficiency and...

173

Management and Control of Foreign Intelligence  

Directives, Delegations, and Requirements

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

1992-01-15T23:59:59.000Z

174

Intelligent Transportation Systems - Center for Transportation Analysis  

NLE Websites -- All DOE Office Websites (Extended Search)

Intelligent Transportation Systems Intelligent Transportation Systems The Center for Transportation Analysis does specialty research and development in intelligent transportation systems. Intelligent Transportation Systems (ITS) are part of the national strategy for improving the operational safety, efficiency, and security of our nation's highways. Since the early 1990s, ITS has been the umbrella under which significant efforts have been conducted in research, development, testing, deployment and integration of advanced technologies to improve the measures of effectiveness of our national highway network. These measures include level of congestion, the number of accidents and fatalities, delay, throughput, access to transportation, and fuel efficiency. A transportation future that includes ITS will involve a significant improvement in these

175

Intelligence Reform and Terrorism Prevention Act - December 17...  

Office of Environmental Management (EM)

''(2) Such national intelligence should be timely, objective, independent of political considerations, and based upon all sources available to the intelligence community...

176

Calibrating Artificial Neural Networks by Global Optimization  

E-Print Network (OSTI)

Jul 21, 2010 ... Abstract: An artificial neural network (ANN) is a computational model - implemented as a computer program - that is aimed at emulating the key...

Janos D. Pinter

2010-07-21T23:59:59.000Z

177

"Artificial" brains, electrical grids, and disease modeling:...  

NLE Websites -- All DOE Office Websites (Extended Search)

Science discoveries unveiled "Artificial" brains, electrical grids, and disease modeling: Los Alamos science discoveries unveiled September 15 The event is an opportunity for...

178

Towards Artificial Photosynthesis and Alternative Energy | Center...  

NLE Websites -- All DOE Office Websites (Extended Search)

Towards Artificial Photosynthesis and Alternative Energy 9 Apr 2013 On Tuesday April 9th, 2013, Professor Devens Gust, Director of the Center for Bio-Inspired Solar Fuel...

179

Regulatory Dynamics of Natural and Artificial Photosynthesis.  

E-Print Network (OSTI)

??The research presented in this dissertation focuses on understanding the regulation of excited states, both in natural photosynthesis and in artificial systems.Chapters 1, 2, and (more)

Zaks, Julia

2012-01-01T23:59:59.000Z

180

From Artificial Atoms to Nanocrystal Molecules: Preparation and Properties of More Complex Nanostructures  

E-Print Network (OSTI)

from artificial atoms to artificial molecules. Angew.quantum dot as an artificial atom. (a) Density of states inFrom Artificial Atoms to Nanocrystal Molecules: Preparation

Choi, Charina L

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Aviation Safety Program Integrated Intelligent Flight Deck  

E-Print Network (OSTI)

Safety, Integrated Intelligent Flight Deck research project. It contains reference to past work as the other elements of NASA's Aviation Safety Program (AvSP). Without an integrated working relationshipAviation Safety Program Integrated Intelligent Flight Deck Technical Plan Summary Principal

182

Reducing food losses by intelligent food logistics  

Science Journals Connector (OSTI)

...1006 62 Theme Issue Intelligent food logistics: decrease waste and improve quality...Reducing food losses by intelligent food logistics Reiner Jedermann 1 Mike Nicometo 2 Ismail...Bremen Research Cluster for Dynamics in Logistics (LogDynamics), Bremen, Germany One...

2014-01-01T23:59:59.000Z

183

ADVANCING THE SEARCH FOR EXTRATERRESTRIAL INTELLIGENCE  

E-Print Network (OSTI)

ADVANCING THE SEARCH FOR EXTRATERRESTRIAL INTELLIGENCE Jill Tarter SETI Institute 515 N. Whisman ­ Space Sciences Lab, UC Berkeley #12;Advancing the Search for Extraterrestrial Intelligence Executive with the sentence "The probability of success is difficult to estimate, but if we never search, the chance

184

Retreading Tire Management with Business Intelligence  

Science Journals Connector (OSTI)

Justifying the development of a business intelligence system is challenging when the primary beneficiaries of the system are internal to the company responsible for that development; it is even harder to justify when the system is designed to produce ... Keywords: Application Domain, Business Intelligence System, Disparate Systems, Radical New Service Products, Tire Company

Scott Collier, Dana Edberg, David Croasdell

2012-10-01T23:59:59.000Z

185

Distributed Intelligent Automated Demand Response (DIADR) Building  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Distributed Intelligent Automated Demand Distributed Intelligent Automated Demand Response (DIADR) Building Management System Distributed Intelligent Automated Demand Response (DIADR) Building Management System The U.S. Department of Energy (DOE) is currently conducting research into distributed intelligent-automated demand response (DIADR) building management systems. Project Description This project aims to develop a DIADR building management system with intelligent optimization and control algorithms for demand management, taking into account a multitude of factors affecting cost including: Comfort Heating, ventilating, and air conditioning (HVAC) Lighting Other building systems Climate Usage and occupancy patterns. The key challenge is to provide the demand response the ability to address more and more complex building systems that include a variety of loads,

186

Artificial Neural Network Portion of Coil Study  

E-Print Network (OSTI)

Artificial Neural Network Portion of Coil Study LTC William M. Crocoll School of Systems TO ARTIFICIAL NEURAL NETWORKS A neural network is a massively parallel system comprised of many highly of the brain (Dayhoff, 1990). A major task for a neural network is to learn and maintain a model of the world

Putten, Peter van der

187

Artificial Bee Colony Training of Neural Networks  

E-Print Network (OSTI)

Artificial Bee Colony Training of Neural Networks John A. Bullinaria and Khulood AlYahya School of artificial Neural Networks (NNs). Of course, there already exist many hybrid neural network learning for optimization, that has previously been applied successfully to the training of neural networks. This paper ex

Bullinaria, John

188

Algorithms and Hardware for Implementing Artificial Neural Networks Nathan Hower  

E-Print Network (OSTI)

Algorithms and Hardware for Implementing Artificial Neural Networks Nathan Hower Abstract Complex problems require sophisticated processing techniques. Artificial neural networks are based require a parallel processing approach to be computed at practical speeds. Artificial neural networks

189

Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning  

E-Print Network (OSTI)

1 Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning in a Simulated inhabited by realistic artificial fishes. Our algorithms emulate not only the appearance, movement model each animal holistically. An artificial fish is an autonomous agent situated in a simulated

Toronto, University of

190

Overview for Corporate Partners Artificial Intelligence comprises the complete loop from sensing to perception, learning,  

E-Print Network (OSTI)

biology: alignment algorithms, comparative genomics, sequence assembly, gene regulation, and networks commerce, and computational law. Leonidas Guibas, Professor of Computer Science and Electrical Engineering and technologies of autonomous robots, cooperative robots, human-centered robotics, haptic interaction, simulation

Bejerano, Gill

191

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

E-Print Network (OSTI)

times, this did not allow for hacking or student usage ofThe Birth of Computer Hacking, and Its Rewards hack: 2.of low culture in AI is hacking. Like low culture itself, it

Skinner, Rebecca Elizabeth

2012-01-01T23:59:59.000Z

192

Engineering Applications of Artificial Intelligence 17 (2004) 227232 Local exponential stability of competitive neural networks with  

E-Print Network (OSTI)

of competitive neural networks with different time scales Anke Meyer-B.asea , Sergei Pilyuginb , Axel Wism This contribution presents a new method of analyzing the dynamics of a biological relevant neural network for analysis and design of these neural networks. r 2004 Elsevier Ltd. All rights reserved. 1. Introduction

Pilyugin, Sergei S.

193

To appear in: Proceedings of 14th Innovative Applications of Artificial Intelligence  

E-Print Network (OSTI)

a high-level Course of Action to producing a detailed analysis and plan of tasks. The system integrated interpretation of course-of- action diagrams to interleaved adversarial planning and scheduling. The experiment dispelled concerns about potential negative impacts of such tools on the creative aspects of the art of war

Forbus, Kenneth D.

194

This Is a Publication of The American Association for Artificial Intelligence  

E-Print Network (OSTI)

are better handled by finding a referral to a human expert rather than by simply interact- ing with online information sources. A personal referral allows a user to judge the quality of the information he or she of hypertext documents. The goal of the REFERRAL WEB Project is to create models of social networks by data

Kautz, Henry

195

Comparative studies of artificial intelligence techniques in the context of cognitive radio  

E-Print Network (OSTI)

Wireless spectrum is a costly resource which is licensed by governmental agencies to operators for long recently approved the use of unlicensed devices in licensed bands. Consequently, dynamic spectrum access foresees the development of cognitive radio (CR) networks to further improve spectrum efficiency [Wu, 2010

Paris-Sud XI, Université de

196

Study on The Intelligence Control System of Artificial Cooling Source in Architecture  

E-Print Network (OSTI)

. In the system, MPI channel was used to communicate between PLC and PC, and WINCC was used for the man-machine conversation....

Yang, Z.; Xu, X.

2006-01-01T23:59:59.000Z

197

In 1983, I gave the AAAI president's address titled "Artificial Intelligence Prepares for 2001." An arti-  

E-Print Network (OSTI)

't have a man-made bridge across the Golden Gate because complex bridge-building couldn't be understood- ligent machines or to teach these design meth- ods to students. If bridges had to be kludges, we wouldn

Pratt, Vaughan

198

Engineering Applications of Artificial Intelligence 21 (2008) 941951 The distributed multilevel ant-stigmergy algorithm  

E-Print Network (OSTI)

ant-stigmergy algorithm used at the electric-motor design Peter Koros ec?, Jurij S ilc Computer 2007 Abstract This article presents an optimization method used at the electric-motor design. The goal as a sequential version of the MASA for solving the problem of minimizing the losses in an electric motor have

Silc, Jurij

199

E-Print Network 3.0 - artificial intelligence tokyo Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Fukai, Tomoki - Brain Science Institute, RIKEN Collection: Biology and Medicine 2 CURRICULUM VITAE TETSUO TOMIYAMA Summary: -Diagnosis System for Image Processing Apparatus", The...

200

An artificial intelligence approach to model-based gas lift troubleshooting  

E-Print Network (OSTI)

. Gas lift injection pressure is too high, I have not seen this pressure in the system before. . . . . something is wrong! Gas lift injection pressure is greater than the value given by the computerized gas lift design model C 3 O O 0 0 O... porous medium is proportional to the pressure or hydraulic gradient and to the cross-sectional area normal to the direction of flow and inversely proportional to the viscosity of the fluid. CO C 3 FLUID THROUGH POROUS MEDIUM 0 0 r)( r Fig. 2. 3...

Ortiz-Volcan, Jose Luis

1990-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

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

E-Print Network (OSTI)

or at least the early NSS CIP learning, defined it. However,its epistemological claims. CIP would certainly have been areturned to Pittsburgh, the CIP approach to AI was less

Skinner, Rebecca Elizabeth

2012-01-01T23:59:59.000Z

202

Artificial Intelligence 174 (2010) 619637 Contents lists available at ScienceDirect  

E-Print Network (OSTI)

`spring'. Edges labeled `1' and `3' are for spring in the sense of a season, and `2' and `4' are for the flexible coil sense. The graph shows translation entries from an English dictionary merged with ones from

Mausam

203

Artificial Intelligence 196 (2013) 106142 Contents lists available at SciVerse ScienceDirect  

E-Print Network (OSTI)

a painting blocks world scenario in which blocks are painted and processed by different robotic arms modules (e.g., a video camera, vacuum cleaner, a robot, etc.). In particular, we investigate techniques; different behaviors stand for different types of arms (e.g., a grip- per, a painting arm, a cleaner arm, etc

De Giacomo, Giuseppe

204

Mathematical Model and Artificial Intelligent Techniques Applied to a Milk Industry through DSM  

Science Journals Connector (OSTI)

The resources for electrical energy are depleting and hence the gap between the supply and the demand is continuously increasing. Under such circumstances the option left is optimal utilization of available energy resources. The main objective of this chapter is to discuss about the Peak load management and overcome the problems associated with it in processing industries such as Milk industry with the help of DSM techniques. The chapter presents a generalized mathematical model for minimizing the total operating cost of the industry subject to the constraints. The work presented in this chapter also deals with the results of application of Neural Network Fuzzy Logic and Demand Side Management (DSM) techniques applied to a medium scale milk industrial consumer in India to achieve the improvement in load factor reduction in Maximum Demand (MD) and also the consumer gets saving in the energy bill.

P. Ravi Babu; V. P. Sree Divya

2011-01-01T23:59:59.000Z

205

E-Print Network 3.0 - artificial intelligence-based atomistic...  

NLE Websites -- All DOE Office Websites (Extended Search)

case study... reviews atomistic simulation (AS) of fracture of solids along with recent advances reported in the liter... -principles based description of fracture that...

206

Automatic hydraulic fracturing design for low permeability reservoirs using artificial intelligence.  

E-Print Network (OSTI)

??The hydraulic fracturing technique is one of the major developments in petroleum engineering in the last two decades. Today, nearly all the wells completed in (more)

Popa, Sergui Andrei, 1970-

2004-01-01T23:59:59.000Z

207

A General-Purpose mHealth System Relying on Knowledge Acquisition through Artificial Intelligence  

Science Journals Connector (OSTI)

Remote monitoring of patients vital parameters and ensuring mobility of both patient and doctor can greatly profit from real-time tele-monitoring technology. Here a description is given of a multi-purpose and...

Giovanna Sannino; Ivanoe De Falco

2014-01-01T23:59:59.000Z

208

DOI: 10.1142/S0218213012500194 International Journal on Artificial Intelligence Tools  

E-Print Network (OSTI)

values to optimize race classification. Second, we apply the Kruskal-Wallis feature selection algorithm that (i) using the Kruskal-Wallis feature selection, (ii) fusing LBP with WLD at the feature level

Bebis, George

209

Application of Artificial Intelligence Methods for the Diagnosis of Marine Diesel Engines  

Science Journals Connector (OSTI)

The paper presents a diagnostic system for marine diesel engine based on an expert system model. The ... identified. The basic knowledge related to the diesel diagnostic was undertaken from experts and diagnostic...

Adam Charchalis; Rafa? Pawletko

2011-01-01T23:59:59.000Z

210

Application of artificial intelligence methods for the diagnosis of marine diesel engines  

Science Journals Connector (OSTI)

The paper presents a diagnostic system for marine diesel engine based on an expert system model. The research relevant to knowledge acquisition for this system was done, knowledge base was built and general structures of the expert system was proposed. ... Keywords: expert system, marine diesel engines, technical diagnostic

Adam Charchalis; Rafa? Pawletko

2011-09-01T23:59:59.000Z

211

December 13, 2009 Les Earnest, Executive Officer of the Stanford Artificial Intelligence Lab, 1965-80,  

E-Print Network (OSTI)

, deservedly received a lot of media attention after winning the robot car race across the desert in 2005 unpopular on campus, which was deep in an anti-war movement regarding Vietnam. In fact, the DC Power Lab had learned that most of our funding came from the Defense Department. This resulted only in water

Pratt, Vaughan

212

Response [to Whitmer's "Intentionality, Artificial Intelligence and the Causal Powers of the Brain"  

E-Print Network (OSTI)

the person uttering it believes that it is raining. Now, if one is a materialist, one thinks that men tal states are brain events. Intentional states on this view, then, are realized by brains. How are brains able to do this? Because they have... for the manipulation of those data, and producing output as the result of that manipulation. On this view, the mind is to the brain as the soft ware of a computer is to its hardware. For example, understanding which is an intentional state, obtains if a program...

Eudaly, Thomas

213

In Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI91)  

E-Print Network (OSTI)

NAG 2­507, and by the Texas Advanced Research Program under grant no. 003658­ 175. Although much work or the maintenance of a mechanical sys­ tem such as a nuclear reactor and a spacecraft. In the literature, highly

Kuipers, Benjamin

214

Artificial Intelligence and Systems Theory Applied to Cooperative Robots: the SocRob Project*  

E-Print Network (OSTI)

, but also to detect and avoid static (walls, stopped robots) and dynamic (moving robots) obstacles. Furthermore, they must cooperate to defeat an opposing team. Our current research in soccer robotics includes image processing for object segmentation, recognition and tracking, navigation and behavior

Instituto de Sistemas e Robotica

215

Progress in Artificial Intelligence manuscript No. (will be inserted by the editor)  

E-Print Network (OSTI)

agents, in terms of the average travel time, the use of the urban transportation and the amount of CO2, security, pollution, climate change due to CO2 emissions, etc. Since these problems are increasing Metropolitan mobility models, mainly based on the massive use of the car instead of the public transportation

Grimaldo, Francisco

216

Artificial Intelligence 172 (2008) 884898 www.elsevier.com/locate/artint  

E-Print Network (OSTI)

best-case solutions in security surveillance or decision making centers. We introduce HADES, a self and are able to monitor their environment. When agents of HADES find irregularity in themselves they first try to generate new healthy agents to replace the killed agent. We experiment with HADES on various impairments

Siegelmann , Hava T

217

DoMAIns: Domain-based modeling for Ambient Intelligence  

Science Journals Connector (OSTI)

Ambient Intelligence and Smart Home Automation systems are currently emerging as feasible and ready to exploit solutions to support more intelligent features inside future and current homes. Thanks to increased availability of off-the-shelf components ... Keywords: Ambient Intelligence, Domotic plant, Home Automation, Intelligent Domotic Environment, Modeling, State diagrams

Dario Bonino; Fulvio Corno

2012-08-01T23:59:59.000Z

218

One patient's artificial retina story  

NLE Websites -- All DOE Office Websites (Extended Search)

Helping To Advance the Frontiers of Medical Research Helping To Advance the Frontiers of Medical Research A patient's perspective on what the retinal implant has meant to her Patient following a white line In psychophysical testing, Kathy B. demonstrates how her artificial retina implant allows her to walk along a white line to its termination. A highly functioning person with a job, family, and household to tend to, Kathy B. doesn't feel like she's blind despite the fact that she's had no vision for about 15 years. Nevertheless, she was excited when she recently was able to find the full moon in the dark, nighttime sky. "We were out walking, and I looked upwards, scanning my head back and forth," Kathy B. explains. "All of a sudden, I saw a big flash, and I asked my husband, 'Is that the moon?'" It was, and she began thinking

219

Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Protecting Intelligent Distributed Power Grids Against Cyber Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Protecting Intelligent Distributed Power Grids Against Cyber Attacks - May 2008 Development of a novel distributed and hierarchical security layer specific to intelligent grid design will help protect intelligent distributed power grids from cyber attacks. Intelligent power grids are interdependent energy management systems-encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. But increased interconnection and automation over a large geographical area requires a distributed and hierarchical approach to cybersecurity. Protecting Intelligent Distributed Power Grids Again Cyber Attacks.pdf

220

Office of Intelligence and Counterintelligence | Department of Energy  

NLE Websites -- All DOE Office Websites

Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Steven K. Black, Director The U.S. Department of Energy's Office of Intelligence and Counterintelligence is responsible for all intelligence and counterintelligence activities throughout the DOE complex, including nearly thirty intelligence and counterintelligence offices nationwide. The Office protects vital national security information and technologies, representing intellectual property of incalculable value. Our distinctive contribution to national security is the ability to leverage the Energy Department's unmatched scientific and technological expertise in support of policymakers as well as national security missions in defense, homeland

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Office of Intelligence and Counterintelligence | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Office of Intelligence and Counterintelligence Steven K. Black, Director The U.S. Department of Energy's Office of Intelligence and Counterintelligence is responsible for all intelligence and counterintelligence activities throughout the DOE complex, including nearly thirty intelligence and counterintelligence offices nationwide. The Office protects vital national security information and technologies, representing intellectual property of incalculable value. Our distinctive contribution to national security is the ability to leverage the Energy Department's unmatched scientific and technological expertise in support of policymakers as well as national security missions in defense, homeland

222

Artificial neural networks in models of specialization, guild evolution  

E-Print Network (OSTI)

Artificial neural networks in models of specialization, guild evolution and sympatric speciation on host choice, employing artificial neural networks as models for the host recognition system

Getz, Wayne M.

223

Artificial Production Review Report and Recommendations of the  

E-Print Network (OSTI)

.......................................................................................................... 21 III. Implementing Reform in Artificial Production Policy and Practices. The Council's recommendations A. Implementing artificial production reform policies The region needs action

224

Artificial molecules that switch "handedness" at light-speed  

NLE Websites -- All DOE Office Websites (Extended Search)

molecules that switch "handedness" Artificial molecules that switch "handedness" at light-speed Researchers create the first artificial molecules whose chirality can be...

225

Intelligence Reform and Terroroism Prevention Act - December 17, 2004 |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Intelligence Reform and Terroroism Prevention Act - December 17, Intelligence Reform and Terroroism Prevention Act - December 17, 2004 Intelligence Reform and Terroroism Prevention Act - December 17, 2004 December 17, 2004 To reform the intelligence community and the intelligence and intelligence-related activities of the United States Government, and for other purposes. SEC. 102. (a) DIRECTOR OF NATIONAL INTELLIGENCE.-(1) There is a Director of National Intelligence who shall be appointed by the President, by and with the advice and consent of the Senate. Any individual nominated for appointment as Director of National Intelligence shall have extensive national security expertise. ''(2) The Director of National Intelligence shall not be located within the Executive Office of the President. ''(b) PRINCIPAL RESPONSIBILITY.-Subject to the authority, direction,

226

Intelligent Generation | Open Energy Information  

Open Energy Info (EERE)

Generation Generation Jump to: navigation, search Name Intelligent Generation Place Chicago, Illinois Zip 60603 Sector Renewable Energy Product Chicago-based maker of software aimed at optimising distributed renewable energy generation and power storage. Coordinates 41.88415°, -87.632409° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.88415,"lon":-87.632409,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

227

Progressing for Intelligent to Smart Buildings  

E-Print Network (OSTI)

and clients. The authors propose that utilising the increasingly available information as a tool to forewarn the building control systems, rather than reacting to stimuli, can allow adaptability and a distinction between Intelligent and Smart Buildings. A case...

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

2013-01-01T23:59:59.000Z

228

Scenario-Based design of ambient intelligence  

Science Journals Connector (OSTI)

In this paper scenario-based design approach for development of Ambient Intelligence (AmI) is described. Design of any concept is based on communication between different stakeholders. Furthermore design of these concepts should be grounded heavily to ...

Veikko Ikonen; Marketta Niemel; Eija Kaasinen

2006-10-01T23:59:59.000Z

229

Content Analysis for Proactive Protective Intelligence  

SciTech Connect

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.

Sanfilippo, Antonio P.

2010-12-15T23:59:59.000Z

230

Developmental Cost for Models of Intelligence  

E-Print Network (OSTI)

We can evaluate models of natural intelligence, as well as theirindividual components, by using a model of hardware and developmentcosts, ignoring almost all the details of biology. The basic argumentis that neither the ...

Beal, Jacob

2007-05-15T23:59:59.000Z

231

Artificial Immune System based urban traffic control  

E-Print Network (OSTI)

Borrowing ideas from natural immunity, Artificial Immune Systems (AIS) offer a novel approach to solving many diagnosis, optimization and control problems. In the course of this research this paradigm was applied to the problem of optimizing urban...

Negi, Pallav

2007-09-17T23:59:59.000Z

232

Artificial Vision A vital component of  

E-Print Network (OSTI)

Artificial Vision A vital component of transhumanism #12;Machinehead · Merger of human and machine. · Transhumanism ­ Our design is flawed. · Blind spot · Blinking #12;Beyond the blind spot · Eventually plug

La Rosa, Andres H.

233

E-Print Network 3.0 - advanced ground intelligent Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

comprehensive intelligence possible. During force projection... and security operations: conduct decentralized operations, integrate intelligence and operations, conduct...

234

Substation Intelligent Monitoring System Based on Pattern Recognition  

Science Journals Connector (OSTI)

Pattern recognition technology is a new intelligent science with a wide range of applied. It can be applied in a variety of intelligent control and monitoring areas. According to the technical characteristics of ...

ShuMin Liu; XuJuan Xu

2011-01-01T23:59:59.000Z

235

An Intelligent Threat Prevention Framework with Heterogeneous Information  

E-Print Network (OSTI)

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

Liu, Weiru

236

Multichannel Audio Coding for Multimedia Services in Intelligent Environments  

E-Print Network (OSTI)

5 Multichannel Audio Coding for Multimedia Services in Intelligent Environments Athanasios Summary. Audio is an integral component of multimedia services in intelligent environments. Use of multiple channels in audio capturing and rendering offers the advantage of recreating arbitrary acoustic

Tsakalides, Panagiotis

237

2011 Annual Planning Summary for Intelligence and Counterintelligence (IN)  

Energy.gov (U.S. Department of Energy (DOE))

The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within Intelligence and Counterintelligence (IN).

238

Throwing Down the Visual Intelligence Gauntlet  

E-Print Network (OSTI)

In recent years, scientific and technological advances have produced artificial systems that have matched or surpassed human capabilities in narrow domains such as face detection and optical character recognition. However, ...

Tan, Cheston

2012-01-01T23:59:59.000Z

239

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

E-Print Network (OSTI)

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

Bertini, Robert L.

240

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

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Intelligent Energy Europe (IEE) | Open Energy Information  

Open Energy Info (EERE)

Intelligent Energy Europe (IEE) Intelligent Energy Europe (IEE) Jump to: navigation, search Name Intelligent Energy Europe (IEE) Agency/Company /Organization European Commission Sector Energy Focus Area Energy Efficiency, Renewable Energy Topics Finance, Market analysis, Background analysis Website http://ec.europa.eu/energy/int UN Region Northern Europe References IEE[1] Overview "Set up by the EU and managed by the Executive Agency for Competitiveness and Innovation (EACI), the IEE is the EU's means of funding action to improve market conditions so as to encourage the use of renewable energy sources and improve energy efficiency. The IEE funds: project which aim to have a significant impact on the market, including areas such as knowledge transfer between areas of the EU, assisting different organizations in gaining a better understanding of each

242

Artificial retina: Invention of the year  

NLE Websites -- All DOE Office Websites (Extended Search)

1513_retina 1513_retina 11/15/2013 The Argus II artificial retina, in which Lawrence Livermore has played a prominent roll, has enough resolution for people to see the lines of a crosswalk, find objects and read letters a couple of centimeters tall. Image by Dan Foley/Second Sight Argus II. Artificial retina: Invention of the year Anne M Stark, LLNL, (925) 422-9799, stark8@llnl.gov The artificial retina, in which Lawrence Livermore has played a prominent role, has earned a place in the top 25 best inventions of the year 2013 from Time Magazine. The invention also has garnered a 2013 best innovation designation by Popular Science. This Department of Energy funded project resulted in the creation of the first-ever retinal prosthesis -- or bionic eye -- approved in the United

243

Stability and adaptation in artificial neural systems  

Science Journals Connector (OSTI)

A model of an artificial neural network for pattern association is discussed, which is dynamically stable and employs a weight matrix with asymmetric connections of a specific kind. The relationship to earlier stable models making use of symmetric connection matrices is established. A Lyapunov function for the system is explicitly specified. It is argued that its behavior as a function of time during the learning phase indicates the quality of the networks performance regarding pattern association. This view is supported by a numerical example, which, in addition, serves to demonstrate the virtues of this model in comparison to others. The crucial role of the constants entering artificial neural systems is emphasized.

Bernd Schrmann

1989-09-01T23:59:59.000Z

244

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

DOE Patents (OSTI)

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

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

2003-01-01T23:59:59.000Z

245

THE CHOICE OF OPTIMAL STRUCTURE OF ARTIFICIAL NEURAL NETWORK CLASSIFIER INTENDED FOR CLASSIFICATION OF WELDING FLAWS  

SciTech Connect

Nondestructive testing and evaluation are under continuous development. Currently researches are concentrated on three main topics: advancement of existing methods, introduction of novel methods and development of artificial intelligent systems for automatic defect recognition (ADR). Automatic defect classification algorithm comprises of two main tasks: creating a defect database and preparing a defect classifier. Here, the database was built using defect features that describe all geometrical and texture properties of the defect. Almost twenty carefully selected features calculated for flaws extracted from real radiograms were used. The radiograms were obtained from shipbuilding industry and they were verified by qualified operator. Two weld defect's classifiers based on artificial neural networks were proposed and compared. First model consisted of one neural network model, where each output neuron corresponded to different defect group. The second model contained five neural networks. Each neural network had one neuron on output and was responsible for detection of defects from one group. In order to evaluate the effectiveness of the neural networks classifiers, the mean square errors were calculated for test radiograms and compared.

Sikora, R.; Chady, T.; Baniukiewicz, P.; Caryk, M.; Piekarczyk, B. [West Pomeranian University of Technology in Szczecin, Department of Electrical Engineering, 70-313 Szczecin (Poland)

2010-02-22T23:59:59.000Z

246

Fact Sheet: Protecting Intelligent Distributed Power Grids Against Cyber Attacks  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Protecting Intelligent Distributed Protecting Intelligent Distributed Power Grids Against Cyber Attacks Development of a novel distributed and hierarchical security layer specific to intelligent grid design Intelligent power grids are interdependent energy management systems- encompassing generation, distribution, IT networks, and control systems-that use automated data analysis and demand response capabilities to increase system functionality, efficiency, and reliability. But increased interconnection and automation over a large geographical area requires a distributed and hierarchical approach to cyber security. This two-year project will develop three security components unique to intelligent power grids. The first is an automated

247

Power system fault analysis based on intelligent techniques and intelligent electronic device data  

E-Print Network (OSTI)

This dissertation has focused on automated power system fault analysis. New contributions to fault section estimation, protection system performance evaluation and power system/protection system interactive simulation have been achieved. Intelligent...

Luo, Xu

2007-09-17T23:59:59.000Z

248

An Artificial Bee Colony Algorithm for the Set Covering Problem  

Science Journals Connector (OSTI)

In this paper, we present a new Artificial Bee Colony algorithm to solve the non-unicost Set Covering Problem. The Artificial Bee Colony algorithm is ... solution quality with other metaheuristic approaches for t...

Rodrigo Cuesta; Broderick Crawford

2014-01-01T23:59:59.000Z

249

DNA-Directed Artificial Light-Harvesting Antenna  

NLE Websites -- All DOE Office Websites (Extended Search)

DNA-Directed Artificial Light-Harvesting Antenna Authors: Dutta, P. K., Varghese, R., Nangreave, J., Lin, S., Yan, H., and Liu, Y. Title: DNA-Directed Artificial Light-Harvesting...

250

Risk Estimation; Background Radiation (Natural and Artificial )  

E-Print Network (OSTI)

-threshold mode estimate the response at lower doses. · The Committee on Biological Effects of Ionizing RadiationModule 9 Risk Estimation; Background Radiation (Natural and Artificial ) · sources of background radiation · various risk models. · estimating risk and on the sources of background radiation, both

Massey, Thomas N.

251

On a Form of Artificial Submarine Cable  

Science Journals Connector (OSTI)

... , Mr. C. F. Varley, about the year 1860, devised an artificial submarine cable equivalent in its action to a real ... equivalent in its action to a real cable long enough to reach from England to Australia. For obvious reasons such a device ...

A. TROWBRIDGE

1901-05-23T23:59:59.000Z

252

Swarm Intelligence and Problem Solving in Telecommunications  

E-Print Network (OSTI)

Swarm Intelligence and Problem Solving in Telecommunications Abstract This paper describes how biologically­inspired agents can be used to solve control problems in Telecommunications. These agents the application of ant­like agents to the problem of routing in telecommunication networks. Introduction

White, Tony

253

Active agents, intelligence and quantum Subhash Kak *  

E-Print Network (OSTI)

Active agents, intelligence and quantum computing Subhash Kak * Department of Electrical neuroscience and quantum computing theory in support of the notion of autonomy in the workings of cognitive processes. De®cits in speech, vision, and motor abilities are described to show how cognitive behavior

Kak, Subhash

254

FUTURE POWER GRID INITIATIVE Intelligent Networked Sensors  

E-Print Network (OSTI)

Operations in the Electric Power System OBJECTIVE » Create an intelligent software framework for electric, demand- response, and plug-in electric vehicles. It: » Lays the software platform groundwork for distributed operation and control of the electric power system » Supports the distribution layer where end

255

Ranking users for intelligent message addressing  

Science Journals Connector (OSTI)

Finding persons who are knowledgeable on a given topic (i.e. Expert Search) has become an active area of recent research [1, 2, 3]. In this paper we investigate the related task of Intelligent Message Addressing, i.e., finding persons who are potential ...

Vitor R. Carvalho; William W. Cohen

2008-03-01T23:59:59.000Z

256

Managing renewable resources via Collective Intelligence  

E-Print Network (OSTI)

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

Boschetti, Fabio

257

Intelligent Control of Modular Robotic Welding Cell  

SciTech Connect

Although robotic machines are routinely used for welding, such machines do not normally incorporate intelligent capabilities. We are studying the general problem of formulating usable levels of intelligence into welding machines. From our perspective, an intelligent machine should: incorporate knowledge of the welding process, know if the process is operating correctly, know if the weld it is making is good or bad, have the ability to learn from its experience to perform welds, and be able to optimize its own performance. To this end, we are researching machine architecture, methods of knowledge representation, decision making and conflict resolution algorithms, methods of learning and optimization, human/machine interfaces, and various sensors. This paper presents work on the machine architecture and the human/machine interface specifically for a robotic, gas metal arc welding cell. Although the machine control problem is normally approached from the perspective of having a central body of control in the machine, we present a design using distributed agents. A prime goal of this work is to develop an architecture for an intelligent machine that will support a modular, plug and play standard. A secondary goal of this work is to formulate a human/machine interface that treats the human as an active agent in the modular structure.

Smartt, Herschel Bernard; Kenney, Kevin Louis; Tolle, Charles Robert

2002-04-01T23:59:59.000Z

258

Jottings from the business intelligence jungle  

Science Journals Connector (OSTI)

This paper examines some of the big hitting issues in the business intelligence world and shows how APL remains a key component in the resolution of these issues. It also suggests areas where APL could fill new voids that require flexible development ...

David Selby

2002-07-01T23:59:59.000Z

259

Integrated Modeling for Intelligent Battery Thermal Management  

Science Journals Connector (OSTI)

Effective thermal management is crucial to the optimal operation of lithium ion batteries and its health management. However, the thermal behaviors of batteries are governed by complex chemical process whose parameters will degrade over time and different ... Keywords: integrated modeling, distributed parameter system, battery thermal management, intelligent learning

Zhen Liu; Han-Xiong Li

2013-10-01T23:59:59.000Z

260

INTELLIGENCE RESEARCH SPECIALIST, GS-0132-11  

Energy.gov (U.S. Department of Energy (DOE))

INTELLIGENCE RESEARCH SPECIALIST, GS-0132-11 Job Announcement Number: 15-001 Who may apply: All qualified U.S. citizens Annual Salary range: $51,947.00 - $81,706.00 / Per Year Open Period: February 19, 2015 - February 26, 2015

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Using Artificial Neural Networks to Play Pong Luis E. Ramirez  

E-Print Network (OSTI)

Using Artificial Neural Networks to Play Pong Luis E. Ramirez May 9th, 2014 Abstract This paper examines the possibility of using Artificial Neural Networks to control AI for simple computer games Stanley that evolves artificial neural network topologies simultane- ously with the edge weights[3

Meeden, Lisa A.

262

REGULARIZATION OF A PROGRAMMED RECURRENT ARTIFICIAL NEURAL NETWORK  

E-Print Network (OSTI)

REGULARIZATION OF A PROGRAMMED RECURRENT ARTIFICIAL NEURAL NETWORK Andrew J. Meade, Jr. Department ARTIFICIAL NEURAL NETWORK Andrew J. Meade, Jr. Department of Mechanical Engineering and Materials Science into an artificial neural network architecture. GTR provides a rational means of combining theoretical models

Meade, Andrew J.

263

Characterization of Shape Memory Alloys Using Artificial Neural Networks  

E-Print Network (OSTI)

1 Characterization of Shape Memory Alloys Using Artificial Neural Networks Jim Henrickson, Kenton � Shape Memory Alloys � Artificial Neural Networks Process � Implement Shape Memory Alloy Model � Generate Training Data � Train Artificial Neural Network Results Conclusion Characterization of Shape

Valasek, John

264

Devices and Circuits for Nanoelectronic Implementation of Artificial Neural Networks  

E-Print Network (OSTI)

Devices and Circuits for Nanoelectronic Implementation of Artificial Neural Networks A Dissertation Implementation of Artificial Neural Networks by ¨Ozg¨ur T¨urel Doctor of Philosophy in Physics and Astronomy. Unfortunately, most artificial neural networks, either software or hardware, do not provide either the speed

265

Applications of artificial neural networks predicting macroinvertebrates in freshwaters  

E-Print Network (OSTI)

Applications of artificial neural networks predicting macroinvertebrates in freshwaters Peter L. M Artificial neural networks (ANNs) are non-linear mapping structures that can be applied for predictive P. L suitability models can be very valuable. Data driven methods such as artificial neural net- works (ANNs

Lek, Sovan

266

Parametric Optimization of Artificial Neural Networks for Signal Approximation Applications  

E-Print Network (OSTI)

Parametric Optimization of Artificial Neural Networks for Signal Approximation Applications J. Lane.thames@gatech.edu randal.abler@gatech.edu dirk.schaefer@me.gatech.edu ABSTRACT Artificial neural networks are used to solve set of configuration parameters for artificial neural networks such that the network's approximation

267

Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks  

E-Print Network (OSTI)

Developmental Plasticity in Cartesian Genetic Programming Artificial Neural Networks Maryam Mahsal developmental plasticity in Artificial Neural Networks using Carte- sian Genetic Programming. This is inspired a trained artificial neural network loses its accuracy when the network is trained again on a different

Fernandez, Thomas

268

Extracting Provably Correct Rules from Artificial Neural Networks  

E-Print Network (OSTI)

Extracting Provably Correct Rules from Artificial Neural Networks Sebastian B. Thrun University procedures have been applied successfully to a variety of real­world scenarios, artificial neural networks for extracting symbolic knowledge from Backpropagation­style artificial neural networks. It does

Clausen, Michael

269

A Comprehensive Overview of the Applications of Artificial Life  

E-Print Network (OSTI)

@cs.yonsei.ac.kr sbcho@cs.yonsei.ac.kr Keywords Artificial life, perspective, simulation, software, hardware, evolutionA Comprehensive Overview of the Applications of Artificial Life Kyung-Joong Kim Sung-Bae Cho Abstract We review the applications of artificial life (ALife), the creation of synthetic life on computers

Kim, Kyung-Joong

270

The Dept. of Energy Artificial Retina project  

ScienceCinema (OSTI)

LLNL has assisted in the development of the first long-term retinal prosthesis - called an artificial retina - that can function for years inside the harsh biological environment of the eye. This work has been done in collaboration with four national laboratories (Argonne, Los Alamos, Oak Ridge and Sandia), four universities (the California Institute of Technology, the Doheny Eye Institute at USC, North Carolina State University and the University of California, Santa Cruz), an industrial partner (Second Sight Medical Products Inc. of Sylmar, Calif.) and the U.S. Department of Energy. With this device, application-specific integrated circuits transform digital images from a camera into electric signals in the eye that the brain uses to create a visual image. In clinical trials, patients with vision loss were able to successfully identify objects, increase mobility and detect movement using the artificial retina.

None

2010-09-01T23:59:59.000Z

271

Colloquium: Artificial gauge potentials for neutral atoms  

SciTech Connect

When a neutral atom moves in a properly designed laser field, its center-of-mass motion may mimic the dynamics of a charged particle in a magnetic field, with the emergence of a Lorentz-like force. In this Colloquium the physical principles at the basis of this artificial (synthetic) magnetism are presented. The corresponding Aharonov-Bohm phase is related to the Berry's phase that emerges when the atom adiabatically follows one of the dressed states of the atom-laser interaction. Some manifestations of artificial magnetism for a cold quantum gas, in particular, in terms of vortex nucleation are discussed. The analysis is then generalized to the simulation of non-Abelian gauge potentials and some striking consequences are presented, such as the emergence of an effective spin-orbit coupling. Both the cases of bulk gases and discrete systems, where atoms are trapped in an optical lattice, are addressed.

Dalibard, Jean; Gerbier, Fabrice; Juzeliunas, Gediminas; Oehberg, Patrik [Laboratoire Kastler Brossel, CNRS, UPMC, Ecole normale superieure, 24 rue Lhomond, 75005, Paris (France); Institute of Theoretical Physics and Astronomy, Vilnius University, A. Gostauto 12, Vilnius 01108 (Lithuania); SUPA, Department of Physics, Heriot-Watt University, Edinburgh, EH14 4AS (United Kingdom)

2011-10-01T23:59:59.000Z

272

Patch antennas with new artificial magnetic layers  

E-Print Network (OSTI)

A new type of high-impedance surfaces (HIS) has been introduced by C.R. Simovski et al. recently. In this paper, we propose to use such layers as artificial magnetic materials in the design of patch antennas. The new HIS is simulated and patch antennas partially filled by these composite layers are measured in order to test how much the antenna dimensions can be reduced. In order to experimentally investigate the frequency behavior of the material, different sizes of the patches are designed and tested with the same material layer. Also the height of the patch is changed in order to find the best possible position for minimizing the antenna size. This composite layer of an artificial magnetic material has made the antenna smaller while keeping the bandwidth characteristics of the antenna about the same. About 40% of size reduction has been achieved.

M. Ermutlu; C. R. Simovski; M. Karkainen; P. Ikonen; A. A. Sochava; S. A. Tretyakov

2005-04-11T23:59:59.000Z

273

Solar fuels production by artificial photosynthesis  

SciTech Connect

A practical method to use sunlight to generate storable chemical energy could dramatically change the landscape of global energy generation. One of the fundamental requirements of such an artificial photosynthesis scheme is a light capture and conversion approach capable of generating the required chemical potentials (e.g. >1.23 V for splitting water into H{sub 2} and O{sub 2}). An approach based on inorganic light absorbers coupled directly to oxidation and reduction catalysts is being developed in the Joint Center for Artificial Photosynthesis (JCAP). P-type III-V semiconductors with a high surface area can be used as high current density photocathodes. The longevity under operation of these photocathodes can be improved by the use of conformal metal oxides deposited by atomic layer deposition.

Ager, Joel W., E-mail: JWAger@lbl.gov [Joint Center for Artificial Photosynthesis, Lawrence Berkeley National Laboratory, Berkeley, CA (United States); Lee, Min-Hyung [Joint Center for Artificial Photosynthesis, Lawrence Berkeley National Laboratory, Berkeley, CA, USA and Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA and Department of Applied Chemistry, Kyung Hee University (Korea, Republic of); Javey, Ali [Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA and Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720 (United States)

2013-12-10T23:59:59.000Z

274

National Air & Space Intelligence Center Holds Program About Empowering  

NLE Websites -- All DOE Office Websites (Extended Search)

National Air & Space Intelligence Center Holds Program About National Air & Space Intelligence Center Holds Program About Empowering Women in the Workplace National Air & Space Intelligence Center Holds Program About Empowering Women in the Workplace September 30, 2013 - 4:52pm Addthis Dot Harris, Director of the Office of Economic Impact and Diversity, speaks with Aurea Rivera, President and CEO of Imagineering Results Analysis Corp., Kathleen Tucker, Director of the Information Exploitation Squadron, Global Exploitation Intelligence Group, NAISC, and Ann Carbonell, Chief of the National Geospatial Intelligence Agency Support Team in September 2013. Photo by National Air and Space Intelligence Center. Dot Harris, Director of the Office of Economic Impact and Diversity, speaks with Aurea Rivera, President and CEO of Imagineering Results Analysis

275

Intelligent Actuation Control Using Model-Free Adaptive Control Technology  

NLE Websites -- All DOE Office Websites (Extended Search)

Intelligent Actuation Control Using Intelligent Actuation Control Using Model-Free Adaptive Control Technology Background The Advanced Research Sensors and Controls Program is leading the effort to develop sensing and control technologies and methods to achieve seamlessly integrated and intelligent power systems. The program is led by the U.S. Department of Energy (DOE) Office of Fossil Energy National Energy Technology Laboratory (NETL) and is implemented

276

Intelligent Transportation Systems Deployment Analysis System | Open Energy  

Open Energy Info (EERE)

Intelligent Transportation Systems Deployment Analysis System Intelligent Transportation Systems Deployment Analysis System Jump to: navigation, search Tool Summary Name: Intelligent Transportation Systems Deployment Analysis System Agency/Company /Organization: Cambridge Systematics Sector: Energy Focus Area: Transportation Resource Type: Software/modeling tools Website: idas.camsys.com/ Country: United States Northern America References: http://idas.camsys.com/ The ITS Deployment Analysis System (IDAS) is software developed by the Federal Highway Administration that can be used in planning for Intelligent Transportation System (ITS) deployments. State, regional, and local planners can use IDAS to estimate the benefits and costs of ITS investments - which are either alternatives to or enhancements of traditional highway

277

Bio-based Thermochromic Intelligent Roof Coating Research Project |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

based Thermochromic Intelligent Roof based Thermochromic Intelligent Roof Coating Research Project Bio-based Thermochromic Intelligent Roof Coating Research Project The Department of Energy is conducting research into bio-based thermochromic intelligent roof coatings. The coatings are developed from waste cooking oil. Project Description This project seeks to develop and demonstrate a waste cooking oil-based thermochromic smart roof coating technology that will adjust light transmission in response to temperature changes. This will reduce energy demands for temperature regulation. The project will also study the effects of different oil sources on coating properties. Project Partners This project is being undertaken between the Department of Energy and United Environment & Energy. Project Goals

278

Fusion-layer-based machine vision for intelligent transportation systems/  

E-Print Network (OSTI)

Environment understanding technology is very vital for intelligent vehicles that are expected to automatically respond to fast changing environment and dangerous situations. To obtain perception abilities, we should ...

Fang, Yajun, Ph. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

279

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

SciTech Connect

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.

NONE

1996-01-16T23:59:59.000Z

280

Artificial Retina Project: Electromagnetic and Thermal Effects  

SciTech Connect

This award supported the investigation on electromagnetic and thermal effects associated with the artificial retina, designed in collaboration with national laboratories, universities, and private companies. Our work over the two years of support under this award has focused mainly on 1) Design of new telemetry coils for optimal power and data transfer between the implant and the external device while achieving a significant size reduction with respect to currently used coils; 2) feasibility study of the virtual electrode configuration 3) study the effect of pulse shape and duration on the stimulation efficacy.

Lazzi, Gianluca

2014-08-29T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Artificial Neural Networks-Based Diffuse Optical Tomography  

Science Journals Connector (OSTI)

A scheme is developed by applying the artificial neural networks techniques for the reconstruction of optical-property images instead of using forward and inverse procedures. The...

Pan, Min-Chun; Hong, Hsian-An; Chen, Liang-Yu; Pan, Min-Cheng

282

Artificial Photosynthesis: Saving Solar Energy for a Rainy Day  

Science Journals Connector (OSTI)

In an effort to keep up with the worlds growing energy needs, researchers consider a production method that is billions of years oldphotosynthesis. Artificial...

Savage, Lynn

2013-01-01T23:59:59.000Z

283

Synthetic nanotubes lay foundation for new technology: Artificial...  

NLE Websites -- All DOE Office Websites (Extended Search)

Synthetic nanotubes lay foundation for new technology: Artificial pores mimic key features of natural pores By Tona Kunz * July 17, 2012 Tweet EmailPrint Scientists have overcome...

284

Designing artificial metal binding peptides | Center for Bio...  

NLE Websites -- All DOE Office Websites (Extended Search)

Designing artificial metal binding peptides 24 Oct 2012 Dong Wang is a graduate student in the Department of Chemistry and Biochemistry at Arizona State University. He is working...

285

Subtask 4: Artificial reaction center-antenna complex | Center...  

NLE Websites -- All DOE Office Websites (Extended Search)

online) Gust, D., Moore, T.A., and Moore, A.L.(2013)Artificial photosynthesis,Theoretical and Experimental Plant Physiology,25,182-185(Read online) Romero,...

286

IEEE SYMPOSIUM ON ARTIFICIAL LIFE 1 Using Artificial Organisms To Study The Evolution  

E-Print Network (OSTI)

in Fish C.W. Liew Dept of Computer Science Lafayette College, Easton, PA 18042 liew methodology for studying how some features evolved in swimming fish. Experiments with the artificial organisms allow us to evaluate the hypothesis that backbones evolved in fish in part because they result in higher

Liew, Chun Wai

287

Strategic Intelligence in an Age of Nonlinear Risks and Opportunities  

E-Print Network (OSTI)

Association of Peak Oil and Gas, March 2008 Energy & Environmental Security . . . Arctic Sea Ice Melt and Environmental Security "Green Conversations" 3 November 2008 Harvard University Center for Environment Carol Security and Intelligence Imperatives and Opportunities Emerging Responses #12;3 strategic intelligence

Loncar, Marko

288

Prediction of survival of ICU patients using computational intelligence  

Science Journals Connector (OSTI)

This paper presents a computational-intelligence-based model to predict the survival rate of critically ill patients who were admitted to an intensive care unit (ICU). The prediction input variables were based on the first 24h admission physiological ... Keywords: Clinical management, Computational intelligence, Fuzzy systems, ICU, Neural networks, Prediction of survival rate

Yi-Zeng Hsieh, Mu-Chun Su, Chen-Hsu Wang, Pa-Chun Wang

2014-04-01T23:59:59.000Z

289

Multistream Robust Speaker Recognition Based on Speech Intelligibility  

E-Print Network (OSTI)

-based measure of speech intelligibility. Unlike segmentation approaches based on various forms of voice activity and then fusing the decision scores from the multiple steams according to their intelligibility contribution. Our the acoustic analysis with a perception-based measure of speech intel ligibility. The new setup provides higher

Elhilali, Mounya

290

Coordinated Intelligent Power Management and the Heterogeneous Sensing Coverage Problem  

Science Journals Connector (OSTI)

......stack-based approach and motivate...intelligent power management|distributed...of Computer Science and Informatics...Intelligent power management (IPM) for...stack-based approach and motivate...bounded error approach that enables...Council for Science, Engineering...Coordinated Power Management 501 Embedded......

Richard Tynan; Conor Muldoon; Gregory O'Hare; Michael O'Grady

2011-03-01T23:59:59.000Z

291

A turing-like handshake test for motor intelligence  

Science Journals Connector (OSTI)

In the Turing test, a computer model is deemed to "think intelligently" if it can generate answers that are not distinguishable from those of a human. This test is limited to the linguistic aspects of machine intelligence. A salient function of the brain ... Keywords: diagnostics, discrete, haptics, human machine interface, motor behavior, motor control, perception, rhythmic, teleoperation, turing test

Amir Karniel; Ilana Nisky; Guy Avraham; Bat-Chen Peles; Shelly Levy-Tzedek

2010-07-01T23:59:59.000Z

292

Intelligent Mobile Agents for Information Retrieval and Knowledge Discovery from  

E-Print Network (OSTI)

or software agents for intelligent, selective, and context­sensitive data gathering and data assimilation assimilation, and knowl­ edge discovery using heterogeneous, distributed data and knowledge sources. (See [1Intelligent Mobile Agents for Information Retrieval and Knowledge Discovery from Distributed Data

Honavar, Vasant

293

Intelligent Assistants for Filling Critical Gaps in GIS  

E-Print Network (OSTI)

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

California at Santa Barbara, University of

294

IT Complexity Revolution: Intelligent Tools for the Globalised World Development  

E-Print Network (OSTI)

IT Complexity Revolution: Intelligent Tools for the Globalised World Development Andrei Kirilyuk be used as a basis for the latter, in the form of "complexity revolution" in information systems-driven IT to various aspects of post-industrial civilisation dynamics, including intelligent communication, context

Boyer, Edmond

295

Intelligent fault prediction system based on internet of things  

Science Journals Connector (OSTI)

Fault prediction is the key technology to ensure the safe operation of large equipment. Based on the investigation of current and developing research of fault prediction, an intelligent fault prediction system based on internet of things is proposed ... Keywords: Fault prediction, Intelligent computer information processing, Internet of things, Mechanical equipment groups, Predictive maintenance

Xiaoli Xu; Tao Chen; Mamoru Minami

2012-09-01T23:59:59.000Z

296

Quantum artificial neural networks with applications  

Science Journals Connector (OSTI)

Abstract Since simulations of classical artificial neural networks (CANNs) run on classical computers, the massive parallel processing speed advantage of a neural network is lost. A quantum computer is a computation device that makes direct use of quantummechanical phenomena while large-scale quantum computers will be able to solve certain problems much quicker than any classical computer using the best currently known algorithms. Combining the advantages of quantum computers and the idea of CANNs, we propose in this paper a new type of neural networks, named a quantum artificial neural network (QANN), which is presented as a system of interconnected quantum neurons which can compute quantum states from input-quantum states by feeding information through the network and can be simulated on quantum computers. To show the ability of approximation of a QANN, we prove a universal approximation theorem (UAT) which reads every continuous mapping that transforms n quantum states as a non-normalized quantum state can be uniformly approximated by a QANN. The UAT implies that \\{QANNs\\} would suggest a potential computing tool for dealing with quantum information. For instance, we prove that the state of a quantum system driven by a time-dependent Hamiltonian can be approximated uniformly by a QANN. This provides a possible way for finding approximate solution to a Schrdinger equation with a time-dependent Hamiltonian.

Huaixin Cao; Feilong Cao; Dianhui Wang

2015-01-01T23:59:59.000Z

297

Smart Grid Impact on Intelligent Buildings  

E-Print Network (OSTI)

?cost?anticipated?to?continue?to?increase ?Political?focus?and?increasing?incentives ?Deregulation?in?states?and?utilities ?Increase?in?number?of?providers ?Various?options?to?avoid?upfront?cost Source:?CABA?s?Smart?Grid?Impact?on? Intelligent?Buildings Key?Findings? ? More?building?owners?developing...?out?of?smart?meters?in?non?residential?buildings?is?a?barrier ? More?linking?of?disparate?systems?by?middleware?to?have?visibility?and?control ? Energy?represents?20%?of?operating?costs?of?more?than?half?of?all?respondents ? 2?3?years...

Zimmer, R. J.

2013-01-01T23:59:59.000Z

298

An intelligent CNC machine control system architecture  

SciTech Connect

Intelligent, agile manufacturing relies on automated programming of digitally controlled processes. Currently, processes such as Computer Numerically Controlled (CNC) machining are difficult to automate because of highly restrictive controllers and poor software environments. It is also difficult to utilize sensors and process models for adaptive control, or to integrate machining processes with other tasks within a factory floor setting. As part of a Laboratory Directed Research and Development (LDRD) program, a CNC machine control system architecture based on object-oriented design and graphical programming has been developed to address some of these problems and to demonstrate automated agile machining applications using platform-independent software.

Miller, D.J.; Loucks, C.S.

1996-10-01T23:59:59.000Z

299

Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1, 1995--September 30, 1996  

SciTech Connect

We have decomposed the overall system development into smaller component parts to allow us to focus on the expert knowledge required for that component. In addition, the decomposition will facilitate the implementation of the system and its validation and verification. The three component systems will be representative of how each of the experts in geology, geostatistics, and engineering characterizes the reservoir. The concurrent development of these component systems fits into the development of the large and small scale aspects of the system as originally stated in the proposal.

Kerr, D.R.; Thompson, L.G.; Shenoi, S.

1997-05-01T23:59:59.000Z

300

International Journal of Artificial Intelligence in Education (1998), 9, 159-177. Supporting Peer Help and Collaboration in Distributed  

E-Print Network (OSTI)

Peer Help and Collaboration in Distributed Workplace Environments J. Greer, G. McCalla, J. Collins, V of their workers. In this paper we describe a prototype system called PHelpS (Peer Help System) that facilitates workers who are ready, willing and able to help him or her. The worker then selects a particular helper

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


301

www.jatit.org ARTIFICIAL INTELLIGENCE BASED TUNING OF SVC CONTROLLER FOR CO-GENERATED POWER SYSTEM  

E-Print Network (OSTI)

The gain of SVC depends upon the type of reactive power load for optimum performance. As the load and input wind power conditions are variable, the gain setting of SVC needs to be adjusted or tuned. In this paper, an ANN based approach has been used to tune the gain parameters of the SVC controller over a wide range of load characteristics. The multi-layer feed-forward ANN tool with the error backpropagation training method is employed. Loads have been taken as the function of voltage. Analytical techniques have mostly been based on impedance load reduced network models, which suffer from several disadvantages, including inadequate load representation and lack of structural integrity. The ability of ANNs to spontaneously learn from examples, reason over inexact and fuzzy data and provide adequate and quick responses to new information not previously stored in memory has generated high performance dynamical system with unprecedented robustness. ANNs models have been developed for different hybrid power system configurations for tuning the proportional-integral controller for SVC. Transient responses of different autonomous configurations show that SVC controller with its gained tuned by the ANNs provide optimum system performance for a variety of loads.

Vinod Kumar

302

Artificial neural network based robot control: An overview  

Science Journals Connector (OSTI)

The current thrust of research in robotics is to build robots which can operate in dynamic and/or partially known environments. The ability of learning endows the robot with a form of autonomous intelligence to h...

Sameer M. Prabhu; Devendra P. Garg

1996-04-01T23:59:59.000Z

303

Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal  

E-Print Network (OSTI)

Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal Bo Heden, Iv, which are rule-based,is a diffi- cult task, even for the expert. Artificial neural networks (ANNs) have lack of prop- 100%). The neural networks performed better *an `the er treatment. The pur r se

Peterson, Carsten

304

Combinatorial Optimization with Feedback Artificial Neural Networks \\Lambda  

E-Print Network (OSTI)

Combinatorial Optimization with Feedback Artificial Neural Networks \\Lambda Carsten Peterson@thep.lu.se Abstract A brief review is given for using feedback artificial neural networks (ANN) to obtain good Neural Networks, Oc­ tober 1995, Paris, France , eds. F. Fogelman­Soulie and P. Gallinari, EC2 & Cie

Peterson, Carsten

305

Novel Artificial Neural Networks For Remote-Sensing Data Classification  

E-Print Network (OSTI)

Novel Artificial Neural Networks For Remote-Sensing Data Classification Xiaoli Tao* and Howard E artificial neural network architectures applied to multi-class classification problems of remote-sensing data. These approaches are 1) a spiking-neural-network model for the partitioning of data into clusters, and 2) a neuron

Michel, Howard E.

306

Artificial Life Models in Hardware Andrew Adamatzky Maciej Komosinski  

E-Print Network (OSTI)

Artificial Life Models in Hardware #12;Andrew Adamatzky · Maciej Komosinski Editors Artificial Life Models in Hardware ABC #12;Editors Andrew Adamatzky University of the West of England Bristol UK Maciej of Congress Control Number: 2009926294 #12;#12;vi Preface Hardware designs of swimming and walking robots

Conrad, James M.

307

Artificial Neural Nets and Cylinder Pressures in Diesel  

E-Print Network (OSTI)

Artificial Neural Nets and Cylinder Pressures in Diesel Engine Fault Diagnosis * Gopi O diagnosis system for a diesel engine, which uses artificial neural nets to identify faults on the basis­temporal representation of cylinder pressures. Draw cards and power cards are regularly assessed for the condition

Sharkey, Amanda

308

Modeling of solar energy for Malaysia using artificial neural networks  

Science Journals Connector (OSTI)

This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global solar irradiation. The ANN model is based on the feed forward multilayer perception model ... Keywords: Malaysia, artificial neural network, solar energy, solar energy prediction

Tamer Khatib; Azah Mohamed; K. Sopian; M. Mahmoud

2011-10-01T23:59:59.000Z

309

Apple Defect Segmentation by Artificial Neural Networks Devrim Unay a  

E-Print Network (OSTI)

Apple Defect Segmentation by Artificial Neural Networks Devrim Unay a Bernard Gosselin a a TCTS Lab-colored apple fruits performed by several artificial neural networks. Pixel-wise classification approach apple defects. 1 Introduction Quality of apple fruits depends on size, color, shape and presence

Dupont, Stéphane

310

Acta Physicae Superficierum Vol VII 2004 EXPLORING ARTIFICIAL MAGNETISM  

E-Print Network (OSTI)

Acta Physicae Superficierum · Vol VII · 2004 EXPLORING ARTIFICIAL MAGNETISM FROM THIN FILMS of artificially structured, new magnetic materials play a fundamental role in modern science and technology. From thin films to patterned magnetic nano-structures, these magnetic materials and systems can be utilized

Rau, Carl

311

Ecological Modelling 120 (1999) 313324 Microsatellites and artificial neural networks: tools for the  

E-Print Network (OSTI)

Ecological Modelling 120 (1999) 313­324 Microsatellites and artificial neural networks: tools´rigueux Cedex, France Abstract Artificial Neural Networks (ANN) were applied to microsatellite data (highly rights reserved. Keywords: Artificial Neural Network; Classification; Microsatellites; Stocking; Brown

Lek, Sovan

312

An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data  

E-Print Network (OSTI)

An accurate comparison of methods for quantifying variable importance in artificial neural networks, Joy and Death: Assessing variable contributions in neural networks 2 Abstract Artificial neural elements called artificial neural networks (ANNs). Although ANNs were initially developed to better

Joy, Mike

313

A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS  

E-Print Network (OSTI)

A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND CLUSTER ANALYSIS FOR TYPING BIOMETRICS biometrics, artificial neural networks, cluster analysis, Multi Layer Perceptrons, K- means clustering are clustering techniques and Artificial Neural Networks , in conjunction with data processing to improve

314

Recognizing targets from infrared intensity scan patterns using artificial neural networks  

E-Print Network (OSTI)

Recognizing targets from infrared intensity scan patterns using artificial neural networks Tayfun complicating the localization and recognition process. We employ artificial neural networks to deter- mine differentiation; artificial neural networks; optimal brain surgeon; pattern recognition. Paper 080450R received

Barshan, Billur

315

Constraints on adaptation: explaining deviation from optimal sex ratio using artificial neural networks  

E-Print Network (OSTI)

Y Keywords: adaptation; artificial neural networks; evolutionary constraints; parasitoid; sex ratio by modelling information acquisition and processing using artificial neural networks (ANNs) evolving accordingConstraints on adaptation: explaining deviation from optimal sex ratio using artificial neural

West, Stuart

316

Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon flamesq  

E-Print Network (OSTI)

Experimental and artificial neural network modeling study on soot formation in premixed hydrocarbon after the methane flames, respectively. Three-layer, feed- forward type artificial neural networks rights reserved. Keywords: Soot; Hydrocarbon flames; Artificial neural networks 1. Introduction

Senkan, Selim M.

317

Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks  

E-Print Network (OSTI)

Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks Dan as inputs to multilayer perceptron artificial neural networks. The networks were trained to detect coronary% and not statistically significant. Conclusions: Artificial neural networks can detect coronary artery disease

Peterson, Carsten

318

Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group  

E-Print Network (OSTI)

Artificial Neural Networks In Electric Power Industry Technical Report of the ISIS Group Systems R. E. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry. Bourguet, P. J. Antsaklis, "Artificial Neural Networks in Electric Power Industry," Technical Report

Antsaklis, Panos

319

MHK Technologies/Electroactive Polymer Artificial Muscle EPAM | Open Energy  

Open Energy Info (EERE)

Electroactive Polymer Artificial Muscle EPAM Electroactive Polymer Artificial Muscle EPAM < MHK Technologies Jump to: navigation, search << Return to the MHK database homepage Electroactive Polymer Artificial Muscle EPAM.jpg Technology Profile Primary Organization SRI International Technology Resource Click here Wave Technology Type Click here Point Absorber - Floating Technology Description This wave powered generator is unique in that it uses SRI s Electroactive Polymer Artificial Muscle EPAM technology a rubbery material that can generate electricity by simply being stretched and allowed to return to its original shape This artificial muscle technology can generate electricity directly from the motion of waves without the need for complicated and costly hydraulic transmissions that are typically found in other wave power generators

320

What should we say to extraterrestrial intelligence?: An analysis of responses to Earth Speaks  

Science Journals Connector (OSTI)

If scientists engaged in the Search for Extraterrestrial Intelligence (SETI) detect a signal from an extraterrestrial civilization, one of the most pressing issues facing humankind will be Should we reply, and if so, what should we say? Building on an infrastructure that the SETI Institute used to gather over 50,000 messages from around the world to send onboard the Kepler mission, Earth Speaks invites people to submit online their text messages, pictures, and sounds, as they ponder what they would want to say to an extraterrestrial civilization. Participants for the study have been recruited from 68 nations, from all walks of life. By tracking demographic variables for each person submitting a message, we have identified commonalities and differences in message content that are related to such factors as age and gender. Similarly, by tracking the date on which messages were submitted and the location from which the message was sent, we have also identified the way in which message content is related to time and geographic location. Furthermore, when we compare previous themes derived from textual messages to our current categorical analysis of submitted images, we find our textual themes to be concurrently validated. In doing so, we find the Earth Speaks Website not only allows for the construction of interstellar messages, but also functions as a projective psychological assessment of species-level human identity. We next proceed to demonstrate the generative power of our method by showing how we can synthesize artificial messages from the Earth Speaks messages. We then discuss how these artificially generated messages can be tailored to represent both commonality and diversity in human thought as it is revealed through our data. We end by discussing our method's utility for cross-disciplinary research in the social sciences and humanities.

Douglas A. Vakoch; Timothy A. Lower; Britton A. Niles; Katrina A. Rast; Christopher DeCou

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Galaxies, Human Eyes and Artificial Neural Networks  

E-Print Network (OSTI)

Quantitative morphological classification of galaxies is important for understanding the origin of type frequency and correlations with environment. But galaxy morphological classification is still mainly done visually by dedicated individuals, in the spirit of Hubble's original scheme, and its modifications. The rapid increase in data on galaxy images at low and high redshift calls for re-examination of the classification schemes and for new automatic methods. Here we show results from the first systematic comparison of the dispersion among human experts classifying a uniformly selected sample of over 800 digitised galaxy images. These galaxy images were then classified by six of the authors independently. The human classifications are compared with each other, and with an automatic classification by Artificial Neural Networks (ANN). It is shown that the ANNs can replicate the classification by a human expert to the same degree of agreement as that between two human experts.

O. Lahav; A. Naim; R. J. Buta; H. G. Corwin; G. de Vaucouleurs; A. Dressler; J. P. Huchra; S. van den Bergh; S. Raychaudhury; L. Sodre Jr.; M. C. Storrie-Lombardi

1994-12-08T23:59:59.000Z

322

Estimating photometric redshifts with artificial neural networks  

E-Print Network (OSTI)

A new approach to estimating photometric redshifts - using Artificial Neural Networks (ANNs) - is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours - such as morphology, angular size and surface brightness - may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally the method is tested on a sample of ~ 20000 galaxies from the Sloan Digital Sky Survey. The r.m.s. redshift error in the range z < 0.35 is ~ 0.021.

Andrew E. Firth; Ofer Lahav; Rachel S. Somerville

2002-03-15T23:59:59.000Z

323

Exploring Fractional Order Calculus as an Artificial Neural Network Augmentation Samuel Alan Gardner  

E-Print Network (OSTI)

Exploring Fractional Order Calculus as an Artificial Neural Network Augmentation by Samuel Alan....................................................................................... 4 Artificial Neural Networks DESCRIPTION......................................................................... 22 Neural Network

Dyer, Bill

324

Artificial neural networks in models of specialization, guild evolution and sympatric speciation  

E-Print Network (OSTI)

Artificial neural networks in models of specialization, guild evolution and sympatric speciation artificial neural networks (ANN) as models for the host recognition system in exploiters, illustrate how

Getz, Wayne M.

325

E-Print Network 3.0 - artificial vision technique Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

for: artificial vision technique Page: << < 1 2 3 4 5 > >> 1 The Department of computer Summary: of advanced computing issues, as they are, techniques of Artificial...

326

E-Print Network 3.0 - artificial techniques controlling Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

researchers... an artificial neural network between the low-level sensors and the fuzzy logic controller. Artificial neural... To Appear in the Proceedings of the 1997 Meeting of...

327

E-Print Network 3.0 - artificial por irradiacao Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

INTELIGENCIA ARTIFICIAL GMV, empresa lider en proveer soluciones tecnolgicas seguras en TICs para mejorar Summary: BECA INTELIGENCIA ARTIFICIAL GMV, empresa lider en proveer...

328

E-Print Network 3.0 - artificial gravity countermeasure Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

the benefits of an artificial gravity countermeasure coupled with exercise and vibration Summary: Modeling the benefits of an artificial gravity countermeasure coupled with...

329

Intelligent supply chain by using prognostic logistics  

Science Journals Connector (OSTI)

The use of technological tools in logistics is intended to increase visibility, capacity and control in the supply chain. Decrease of uncertainties due to asymmetric data has been the constant challenge of management. Misdiagnosis of situations and equipment, inaccurate production planning, shrinkage and counterfeiting are some of the consequences of erroneous information. The idea of prognostic logistics is to use real time information and an intelligent system to diagnose and predict early failures and hazardous situations. The automatic capture of information in prognostic logistics has the intent to reduce human errors. Automatic identification technologies enable the creation of a prognostic logistic network where real time information is used to make accurate forecasting, pushing a proactive supply chain instead of a reactive one.

Adriana M. Lopez De La Cruz; Hans P.M. Veeke; Gabriel Lodewijks

2007-01-01T23:59:59.000Z

330

Technology Transfer of Computational Intelligence for Manufacturing Process Control  

E-Print Network (OSTI)

Technology Transfer of Computational Intelligence for Manufacturing Process Control Alice E. Smith applications is a large and uncertain step. This paper focuses on the technology transfer issues and solutions

Smith, Alice E.

331

Quantum mechanics helps in learning for more intelligent robot  

E-Print Network (OSTI)

A learning algorithm based on state superposition principle is presented. The physical implementation analysis and simulated experiment results show that quantum mechanics can give helps in learning for more intelligent robot.

Dao-Yi Dong; Chun-Lin Chen; Zong-Hai Chen; Chen-Bin Zhang

2005-06-18T23:59:59.000Z

332

DYNAMICS OF INTELLIGENT POLY(N-ISOPROPYLACRYLAMIDE) MICROGELS  

E-Print Network (OSTI)

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 was constructed...

Pullela, Srinivasa

2010-01-16T23:59:59.000Z

333

Intelligent Open CNC System Based on the Knowledge Server Concept  

Science Journals Connector (OSTI)

In an ideal scenario of intelligent machine tools [18] the human mechanist was almost replaced by the controller. During the last decade many efforts have been made to get closer to this ideal scenario, but the w...

Jnos Nacsa

2002-01-01T23:59:59.000Z

334

Legal safeguards for privacy and data protection in ambient intelligence  

Science Journals Connector (OSTI)

To get the maximum benefit from ambient intelligence (AmI), we need to anticipate and react to possible drawbacks and threats emerging from the new technologies in order to devise appropriate safeguards. The SWAM...

Paul De Hert; Serge Gutwirth; Anna Moscibroda

2009-08-01T23:59:59.000Z

335

Intelligent Cruise Control design based on a traffic flow specification  

E-Print Network (OSTI)

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...

Huandra, Rusli

2012-06-07T23:59:59.000Z

336

Robust intelligent control design for marine diesel engine  

Science Journals Connector (OSTI)

This work deals with the nonlinear control of a marine diesel engine by use of a robust intelligent control ... controller (CMAC). A mathematical model of diesel engine propulsion system is presented. In order to...

Hai-de Hua ???; Ning Ma ? ?; Jie Ma ? ?

2013-12-01T23:59:59.000Z

337

A Review of Quantitative Approaches to Intelligent Building Assessment  

E-Print Network (OSTI)

This paper provides a review of the assessment methods of intelligent buildings (IBs). Based on a review of rating method currently used for building assessment, 6 rating systems for IB assessment are compared according to assessment clusters...

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

2006-01-01T23:59:59.000Z

338

A Casebase of Intelligent Buildings for E-learning Systems  

E-Print Network (OSTI)

. The knowledge base aims to support currently used e-learning tools such as Blackboard, and to make a knowledge engine to facilitate other relevant research into intelligent buildings. A pilot knowledge base is introduced to demonstrate the usability...

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

2006-01-01T23:59:59.000Z

339

VIMS2002 International Symposium on Virtual and Intelligent Measurement Systems  

E-Print Network (OSTI)

VIMS2002 International Symposium on Virtual and Intelligent Measurement Systems Mt. Alyeska Resort be used to propagate the uncertainty. Smith et al. [14] have developed the equations for a propagation

Payeur, Pierre

340

Intelligent Control of Power Electronic Systems for Wind Turbines  

Science Journals Connector (OSTI)

In this chapter, a computational strategy directed more towards intelligent behavior is employed as a tool for fast, accurate, and efficient control of PES used in double fed induction generator (DFIG) based wind...

Bharat Singh; S. N. Singh; Elias Kyriakides

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Intelligent-controlled doubly fed induction generator system using PFNN  

Science Journals Connector (OSTI)

An intelligent-controlled doubly fed induction generator (DFIG) system using probabilistic fuzzy neural network ( ... the transient and steady-state responses of the DFIG system at different operating conditions....

Faa-Jeng Lin; Yi-Sheng Huang; Kuang-Hsiung Tan

2013-06-01T23:59:59.000Z

342

Radio frequency identification enabled wireless sensing for intelligent food logistics  

Science Journals Connector (OSTI)

...Hoekstra, Bastien Chopard and Peter Coveney Radio frequency identification enabled wireless sensing for intelligent food logistics Zhuo Zou Qiang Chen Ismail Uysal Lirong Zheng Phil. Trans. R. Soc. A 372, 20130313 (13 June 2014; Published online...

2014-01-01T23:59:59.000Z

343

ARKTOS: An intelligent system for SAR sea ice image classification  

E-Print Network (OSTI)

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...

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

2004-01-01T23:59:59.000Z

344

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

E-Print Network (OSTI)

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

Rhodes, Dana Lanay

2009-05-15T23:59:59.000Z

345

The evolution of primate general and cultural intelligence  

Science Journals Connector (OSTI)

...suggests social, technical and ecological abilities have coevolved in...e.g. [12-16]). Ecological intelligence hypotheses suggest...which measures of social and ecological performance covary [20...primates are a productive vehicle for exploring the psychological...

2011-01-01T23:59:59.000Z

346

A Scalable Video Server Using Intelligent Network Attached Storage  

Science Journals Connector (OSTI)

This paper proposes a new architecture, called intelligent network attached storage, for building a distributed video server. In this architecture, the data intensive and high overhead processing tasks such as data packaging and transmitting are handled ...

Guang Tan; Hai Jin; Liping Pang

2002-10-01T23:59:59.000Z

347

SPIRE : systems for plan recovery in intelligent environments  

E-Print Network (OSTI)

As intelligent spaces have become more prevalent, the need for diagnosis and recovery from failures in these spaces has also grown. In an effort to make these types of spaces more useable for people who neither care about ...

Chiou, Stefanie Chiawhei, 1980-

2004-01-01T23:59:59.000Z

348

Context Mediation Demonstration of Counter-Terrorism Intelligence Integration  

E-Print Network (OSTI)

In this report, we demonstrate the applicability and value of the context mediation approach in facilitating the effective and correct use of counter-terrorism intelligence information coming from diverse heterogeneous sources.

Madnick, Stuart E.

2005-05-27T23:59:59.000Z

349

Embedded localization and communication system designed for intelligent guided transports  

Science Journals Connector (OSTI)

Nowadays, many embedded sensors allowing localization and communication are being developed to improve reliability, security and define new exploitation modes in intelligent guided transports. This paper presents the architecture of a new system allowing ...

Yassin ElHillali; Atika Rivenq; Charles Tatkeu; J. M. Rouvaen; J. P. Ghys

2007-01-01T23:59:59.000Z

350

Synergistic approaches to mobile intelligent transportation systems considering low penetration rate  

Science Journals Connector (OSTI)

This paper investigates the effect of low penetration rate on mobile phone-based traffic state estimation (M-TES) models. Synergistic approaches, including an appropriate genetic algorithm (GA) based velocitydensity estimation model and a notable artificial neural network (ANN) based prediction method for unacceptably low penetration rate, are proposed. The GA-based traffic state estimation model not only improves the effectiveness but also reduces the critical penetration rate required in the M-TES model. When the critical penetration rate is reduced the error-tolerance and the scalability of the estimation model can be significantly improved. The ANN-based prediction approach is introduced to overcome the weakness remaining in the GA-based traffic state estimation model when the penetration rate becomes unacceptably low or unknown. In addition, the effect of related road segments on the prediction effectiveness is thoroughly discussed. This work, therefore, provides practical instructions in narrowing the search space for finding prediction rules of the ANN model, thus improving the computational performance without compromising the prediction accuracy. The experimental evaluations confirm the effectiveness as well as the robustness of the proposed approaches. As a result, this research contributes to accelerating the realization of mobile phone-based intelligent transportation systems (M-ITS) or, of the M-TES systems in specific, since the essential issue of low penetration rate has been solved.

T.M. Quang; Muhammad Ariff Baharudin; Eiji Kamioka

2014-01-01T23:59:59.000Z

351

Performance Evaluation and Benchmarking of Next Intelligent Systems  

SciTech Connect

Performance Evaluation and Benchmarking of Intelligent Systems presents research dedicated to the subject of performance evaluation and benchmarking of intelligent systems by drawing from the experiences and insights of leading experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. This contributed volume offers a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems. The chapters cover a broad range of applications, such as assistive robotics, planetary surveying, urban search and rescue, and line tracking for automotive assembly. Subsystems or components described in this book include human-robot interaction, multi-robot coordination, communications, perception, and mapping. Chapters are also devoted to simulation support and open source software for cognitive platforms, providing examples of the type of enabling underlying technologies that can help intelligent systems to propagate and increase in capabilities. Performance Evaluation and Benchmarking of Intelligent Systems serves as a professional reference for researchers and practitioners in the field. This book is also applicable to advanced courses for graduate level students and robotics professionals in a wide range of engineering and related disciplines including computer science, automotive, healthcare, manufacturing, and service robotics.

del Pobil, Angel [Jaume-I University; Madhavan, Raj [ORNL; Bonsignorio, Fabio [Heron Robots, Italy

2009-10-01T23:59:59.000Z

352

Artificial Neural Network Methods in Quantum Mechanics  

E-Print Network (OSTI)

In a previous article we have shown how one can employ Artificial Neural Networks (ANNs) in order to solve non-homogeneous ordinary and partial differential equations. In the present work we consider the solution of eigenvalue problems for differential and integrodifferential operators, using ANNs. We start by considering the Schr\\"odinger equation for the Morse potential that has an analytically known solution, to test the accuracy of the method. We then proceed with the Schr\\"odinger and the Dirac equations for a muonic atom, as well as with a non-local Schr\\"odinger integrodifferential equation that models the $n+\\alpha$ system in the framework of the resonating group method. In two dimensions we consider the well studied Henon-Heiles Hamiltonian and in three dimensions the model problem of three coupled anharmonic oscillators. The method in all of the treated cases proved to be highly accurate, robust and efficient. Hence it is a promising tool for tackling problems of higher complexity and dimensionality.

I. E. Lagaris; A. Likas; D. I. Fotiadis

1997-05-15T23:59:59.000Z

353

Making Solar Fuels by Artificial Photosynthesis  

SciTech Connect

In order for solar energy to serve as a primary energy source, it must be paired with energy storage on a massive scale. At this scale, solar fuels and energy storage in chemical bonds is the only practical approach. Solar fuels are produced in massive amounts by photosynthesis with the reduction of CO{sub 2} by water to give carbohydrates but efficiencies are low. In photosystem II (PSII), the oxygen-producing site for photosynthesis, light absorption and sensitization trigger a cascade of coupled electron-proton transfer events with time scales ranging from picoseconds to microseconds. Oxidative equivalents are built up at the oxygen evolving complex (OEC) for water oxidation by the Kok cycle. A systematic approach to artificial photo-synthesis is available based on a modular approach in which the separate functions of a final device are studied separately, maximized for rates and stability, and used as modules in constructing integrated devices based on molecular assemblies, nanoscale arrays, self-assembled monolayers, etc. Considerable simplification is available by adopting a dye-sensitized photoelectrosynthesis cell (DSPEC) approach inspired by dye-sensitized solar cells (DSSCs). Water oxidation catalysis is a key feature, and significant progress has been made in developing a single-site solution and surface catalysts based on polypyridyl complexes of Ru. In this series, ligand variations can be used to tune redox potentials and reactivity over a wide range. Water oxidation electrocatalysis has been extended to chromophore-catalyst assemblies for both water oxidation and DSPEC applications.

Song, Wenjing; Chen, Zuofeng; Brennaman, Kyle M; Concepcion, Javier J; Patrocinio, Antonio O T; Murakami Iha, Neyde Y; Meyer, Thomas J.

2011-01-01T23:59:59.000Z

354

Magnetic charge crystals imaged in artificial spin ice  

NLE Websites -- All DOE Office Websites (Extended Search)

Magnetic charge crystals imaged in artificial spin ice Magnetic charge crystals imaged in artificial spin ice Magnetic charge crystals imaged in artificial spin ice Potential data storage and computational advances could follow August 27, 2013 Potential data storage and computational advances could follow A 3-D depiction of the honeycomb artificial spin ice topography after the annealing and cooling protocols. The light and dark colors represent the north and south magnetic poles of the islands. Image by Ian Gilbert, U. of I. Department of Physics and Frederick Seitz Materials Research Laboratory Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email Siv Schwink U. Illinois (217) 300-2201 Email "The emergence of magnetic monopoles in spin ice systems is a particular case of what physicists call fractionalization, or deconfinement of

355

Artificial Neural Network Predictive System for Oxygen Steelmaking Converter  

Science Journals Connector (OSTI)

The main objective of the paper is the presentation of the static control model of steelmaking converter process based on the artificial neural network approach. The results of classical mass and ... regression m...

Jan Falkus; Piotr Pietrzkiewicz; Wojciech Pietrzyk

2003-01-01T23:59:59.000Z

356

Artificial neural network model for material characterization by indentation  

Science Journals Connector (OSTI)

Analytical methods to interpret the indentation loaddisplacement curves are difficult to formulate and solve due to material and geometric nonlinearities as well as complex contact interactions. In this study, large strainlarge deformation finite element analyses were carried out to simulate indentation experiments. An artificial neural network model was constructed for the interpretation of indentation loaddisplacement curves. The data from finite element analyses were used to train and validate the artificial neural network model. The artificial neural network model was able to accurately determine the material properties when presented with the loaddisplacement curves that were not used in the training process. The proposed artificial neural network model is robust and directly relates the characteristics of the indentation loaddisplacement curve to the elasto-plastic material properties.

K K Tho; S Swaddiwudhipong; Z S Liu; J Hua

2004-01-01T23:59:59.000Z

357

Artificial Neural Network on a Massively Parallel Associative Architecture  

Science Journals Connector (OSTI)

An implementation of a fully connected artificial neural network using the multi-layered perceptron model is described. The neural network is implemented on the ASP (Associative String ... Microsystems Ltd., base...

A. Krikelis

1990-01-01T23:59:59.000Z

358

Evolution of Memory in Reactive Artificial Neural Networks  

E-Print Network (OSTI)

in the context of evolution: how reactive agents could have evolved into cognitive ones with internalized memory? This study strives to find an answer to the question by simulating neuroevolution on artificial neural networks, with the hypothesis...

Chung, Ji Ryang

2012-07-16T23:59:59.000Z

359

Stochastic artificial retinas: algorithm, optoelectronic circuits, and implementation  

E-Print Network (OSTI)

Stochastic artificial retinas: algorithm, optoelectronic circuits, and implementation Philippe tasks in the presence of discontinuities, dedicated optoelectronic hardware to implement thermal motion by photodetection of speckles, and hybrid architectures that combine optoelectronic, asynchronous

Boyer, Edmond

360

Artificial teeth : dental biofilm analysis on a chip  

E-Print Network (OSTI)

In this thesis, an "artificial teeth" microfluidic device is developed that provides unprecedented control over the conditions required to simulate the growth of complex dental biofilm. Dental plaque formation is not only ...

Lam, Raymond Hiu-wai

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Rational Design of Artificial Metal-Based Enzymes | Center for...  

NLE Websites -- All DOE Office Websites (Extended Search)

Rational Design of Artificial Metal-Based Enzymes 17 Mar 2014 Giovanna Ghirlanda is one of the EFRC Principal Investigators. She is an Associate Professor at the Department of...

362

Artificial Bubble Cloud Targets for Underwater Acoustic Remote Sensing  

Science Journals Connector (OSTI)

This article describes a technique that uses polymer additives to suspend air bubbles to form stable artificial bubble clouds. The results presented include the range of polymer concentrations for an effective bubble suspension; the void fraction,...

Paul A. Hwang; Ronald A. Roy; Lawrence A. Crum

1995-12-01T23:59:59.000Z

363

E-Print Network 3.0 - artificial chromosome library Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

library Search Powered by Explorit Topic List Advanced Search Sample search results for: artificial chromosome library...

364

E-Print Network 3.0 - artificial oxygen carrier Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

carrier Search Powered by Explorit Topic List Advanced Search Sample search results for: artificial oxygen carrier...

365

E-Print Network 3.0 - artificial oxygen carriers Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

carriers Search Powered by Explorit Topic List Advanced Search Sample search results for: artificial oxygen carriers...

366

An artificial neural network based groundwater flow and transport simulator  

SciTech Connect

Artificial neural networks are investigated as a tool for the simulation of contaminant loss and recovery in three-dimensional heterogeneous groundwater flow and contaminant transport modeling. These methods have useful applications in expert system development, knowledge base development and optimization of groundwater pollution remediation. The numerical model runs used to develop the artificial neural networks can be re-used to develop artificial neural networks to address alternative optimization problems or changed formulations of the constraints and or objective function under optimization. Artificial neural networks have been analyzed with the goal of estimating objectives which normally require the use of traditional flow and transport codes: such as contaminant recovery, contaminant loss (unrecovered) and remediation failure. The inputs to the artificial neutral networks are variable pumping withdrawal rates at fairly unconstrained 3-D locations. A forward-feed backwards error propagation artificial neural network architecture is used. The significance of the size of the training set, network architecture, and network weight optimization algorithm with respect to the estimation accuracy and objective are shown to be important. Finally, the quality of the weight optimization is studied via cross-validation techniques. This is demonstrated to be a useful method for judging training performance for strongly under-described systems.

Krom, T.D.; Rosbjerg, D.

1998-07-01T23:59:59.000Z

367

An intelligent, onboard signal processing payload concept  

SciTech Connect

Our approach to onboard processing will enable a quicker return and improved quality of processed data from small, remote-sensing satellites. We describe an intelligent payload concept which processes RF lightning signal data onboard the spacecraft in a power-aware manner. Presently, onboard processing is severely curtailed due to the conventional management of limited resources and power-unaware payload designs. Delays of days to weeks are commonly experienced before raw data is received, processed into a human-usable format, and finally transmitted to the end-user. We enable this resource-critical technology of onboard processing through the concept of Algorithm Power Modulation (APM). APM is a decision process used to execute a specific software algorithm, from a suite of possible algorithms, to make the best use of the available power. The suite of software algorithms chosen for our application is intended to reduce the probability of false alarms through postprocessing. Each algorithm however also has a cost in energy usage. A heuristic decision tree procedure is used which selects an algorithm based on the available power, time allocated, algorithm priority, and algorithm performance. We demonstrate our approach to power-aware onboard processing through a preliminary software simulation.

Shriver, P. M. (Patrick M.); Harikumar, J. (Jayashree); Briles, S. C. (Scott C.); Gokhale, M. (Maya)

2003-01-01T23:59:59.000Z

368

Intelligence and Behavioral Boundaries Scott A. Wallace and John E. Laird  

E-Print Network (OSTI)

Intelligence and Behavioral Boundaries Scott A. Wallace and John E. Laird Arti#12;cial Intelligence INTRODUCTION In his 1990 book, Uni#12;ed Theories of Cognition (UTC) [6], Newell observes that notions

Wallace, Scott

369

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

E-Print Network (OSTI)

the 1947 National Security Act established the Central Intelligence Agency (CIA). During the subsequent over the CIA but has no executive authority over any of the other intelligence ag

Deutch, John

370

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

371

Research and Implementation on the Mobile Intelligent Controller for Home Automation Service  

Science Journals Connector (OSTI)

This paper described the mobile intelligence controller proving an automatic home service based on a users preference in a smart home. The mobile intelligence that is presented in this paper optimizes context...

Jonghwa Choi; Dongkyoo Shin; Dongil Shin

2006-01-01T23:59:59.000Z

372

A Decision-Making Model for the Asian Intelligent Building Index  

E-Print Network (OSTI)

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...

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

2006-01-01T23:59:59.000Z

373

Air Quality and Intelligent Transportation Systems: Understanding Integrated Innovation, Deployment and Adaptation of Public Technologies  

E-Print Network (OSTI)

Air Quality and Intelligent Transportation Systems: Understanding Integrated Innovation, Deployment;2 Air Quality and Intelligent Transportation Systems: Understanding Integrated Innovation, Deployment between state and local transportation investments and metropolitan air quality goals. In this context

de Weck, Olivier L.

374

Metrics for the cost of proprietary information exchange languages in intelligent systems  

Science Journals Connector (OSTI)

The increasing number of intelligent software components is accompanied by an increasing number of proprietary information exchange languages between components. One of the challenges for the smart technology worker is to achieve intelligent system component ... Keywords: information, information exchange languages, information exchange standards, intelligent system components, intelligent systems, interoperability, interoperability cost metrics, interoperability costs, interoperability metrics, interoperability risk metrics, metrics, proprietary exchange languages, return on investment, standard languages, standards

John Horst; Nathan Hartman; George Wong

2010-09-01T23:59:59.000Z

375

Use of Computational Intelligence in Illumination Systems Searching Energetic Efficiency  

E-Print Network (OSTI)

To foment the study of methodologies to project and control efficient illumination systems, aiming at the reduction of energy consumption and optimal performance of illumination systems. Applying artificial neural networks to determine the luminance...

Silva, I.; Tostes, M. E.; Silva, R.

2007-01-01T23:59:59.000Z

376

Artificial Neural Network modelling of sorption chillers  

Science Journals Connector (OSTI)

Abstract Solar cooling is still a young and small but growing market with a large potential. An increasing market development of solar cooling and so-called SolarCombiPlus systems (solar thermal systems providing domestic hot water, space heating and space cooling) can help to reduce primary energy demand and hence emissions of greenhouse gases. To support the market entry and to enhance the market penetration it is important to strengthen consumers confidence in these systems. An important aspect for achieving this goal is a standardised method to predict the performance of the complete solar cooling system under real operating conditions. Nonetheless, objective performance test methods are not yet common standard. In this context a performance test method for solar cooling and SolarCombiPlus systems based on the CTSS method (Component Testing System Simulation) has been developed by the Research and Testing Centre for Thermal Solar Systems (TZS) of the Institute for Thermodynamics and Thermal Engineering (ITW) at the University of Stuttgart within the project SolTrans. For the proposed extended CTSS method numerical models are required in order to describe the thermal behaviour of sorption chillers. The main target of the work presented in this paper is dedicated to the development of appropriate models for sorption chillers which can be used for the extended CTSS method. The approach used is the experimental system identification1 In the field of the experimental system identification a mathematical model of a dynamical system (e.g. sorption chiller) is derived from measurements. 1 based on Artificial Neural Networks (ANN). In this approach experimentally measured data are used to derive an ANN model which is able to predict the outlet temperatures of a sorption chiller. In the work presented, measured data of an adsorption chiller were used to develop such an ANN model which is suitable to predict the outlet temperatures of the three hydraulic loops of adsorption chillers. The model was validated with measured data obtained under real operating conditions. The simulated output temperatures show a very good agreement with the measured temperatures.

Patrick Frey; Stephan Fischer; Harald Drck

2014-01-01T23:59:59.000Z

377

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

E-Print Network (OSTI)

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

Bertini, Robert L.

378

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

E-Print Network (OSTI)

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

Bertini, Robert L.

379

The Fuzzy Design of the Intelligent System for the Energy-Saving Lamps  

Science Journals Connector (OSTI)

In the paper, a intelligent system was proposed. It consists of variable converter and intelligent controller. Variable reactor which concludes variable reactance converter and power converter has wide applications in the soft starting, speed controlling ... Keywords: fuzzy control, variable reactor, intelligent control, power converter, Energy-Saving Lamps

Youxin Yuan; Kaihua Cui; Yiping Xiao; Tieliang Xu

2008-12-01T23:59:59.000Z

380

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

E-Print Network (OSTI)

17 The Intelligent Welding Gun: Augmented Reality for Experimental Vehicle Construction Florian presents the prototypical design and implementation of an Intelligent Welding Gun to help welders is the Intelligent Welding Gun ­ a regular welding gun with a display attachment, a few buttons for user in

Bruegge, Bernd

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Study on intelligent contract information configuration and analysis by case-based reasoning  

Science Journals Connector (OSTI)

This paper presents an intelligent contract analysis and processing method, which can process a mass of contract information to meet the various demands of the enterprises. Here contracts are properly decomposed and configured according to their important ... Keywords: case-based reasoning (CBR), contract intelligent configuration, contract intelligent processing, data mining, knowledge database

Yi Sun; Jianrong Tan; Yalang Mao; Ming Lou

2006-04-01T23:59:59.000Z

382

DESIGN OF INTELLIGENT CONDUCTIVITY METER BASED ON MSP430F149  

E-Print Network (OSTI)

DESIGN OF INTELLIGENT CONDUCTIVITY METER BASED ON MSP430F149 Yaoguang Wei, Jianqing Wang, Daoliang are agriculture information technology. dliangl@cau.edu.cn Abstract: An intelligent conductivity meter based on MSP430F149 microcontroller was proposed in this paper. The intelligent conductive meter was composed

383

Improved explanation of human intelligence using cortical features with second order moments and regression  

Science Journals Connector (OSTI)

Background: Cortical features derived from magnetic resonance imaging (MRI) provide important information to account for human intelligence. Cortical thickness, surface area, sulcal depth, and mean curvature were considered to explain human intelligence. ... Keywords: Cortical features, Cortical thickness, Curvature, Human intelligence, Partial least squares regression, Second order moments, Sulcal depth, Surface area

Hyunjin Park, Jin-Ju Yang, Jongbum Seo, Yu-Yong Choi, Kun-Ho Lee, Jong-Min Lee

2014-04-01T23:59:59.000Z

384

How Gamification will change Business Intelligence  

SciTech Connect

In 1958, William Higginbotham was part of the Brookhaven National Laboratory (BNL) Instrumentation Division. In those days, BNL hosted a visitors day each fall. This was an opportunity for thousands of visitors to come and tour the lab and get a better understanding of the capabilities and operations at a nuclear research facility. William Higinbotham wanted to do something that would impress the audience as well as demonstrate the capabilities of the instrumentation division. Higinbotham came up with an idea that would allow the audience to play a simulated game of table tennis. By utilizing an analog computer and an oscilloscope, Higinbotham created the first publically available video game. The game was very simple and simulated the vertical side of a tennis court, the edge of the floor with the edge of the net perpendicular, on a screen. Each player had a button and a rotating knob. Rotating the knob would change the angle of the bar controlling the ball; pressing the button sent the ball toward the opposite side of the court. If the ball hit the net, it rebounded at an unexpected angle. If the ball went over and was not hit back, it would hit the floor and bounce again at a natural angle. If it disappeared off the screen, a reset button could be pressed, causing the ball to reappear and remain stationary until the user pressed the button to send the ball flying back across the net. Higginbotham recounted that "it was a simple design. Back then, analog computers were used to work out all kinds of mechanical problems. They didn't have the accuracy of digital computers, which were very crude at the time, but then you don't need a great deal of precision to play TV games. " The game was wildly successful and Higinbotham could tell from the crowds reaction that he had developed something very special. From the days of Higinbothams rudimentary version of the classic game Pong, video games have matured and become much more complex. Not only has the technology advanced, allowing for better graphics, sound and game play, but also significant research has been done in the area of game mechanics. Game mechanics are rule based systems that facilitate and encourage a user to explore and learn the properties of their possibility space through the use of feedback mechanisms. (Koster, 2004) As these game mechanics become better understood, they are being applied to areas outside of the realm of video game development. Game mechanics have become the basis for understanding the psychological drivers of users in the digital world. Business Intelligence, part of this digital experience, can learn some great lessons in how to engage users and revolutionize the user experience through the application of these game mechanics. In the tradition of BNLs innovative spirit and as a sister laboratory in the Department of Energy laboratory complex, Idaho National Laboratory (INL) looks to determine how we can enhance the user experience through the effective application of game mechanics to Business Intelligence to meet the needs of our business.

Hiltbrand, Troy; Burke, Marsha

2011-04-01T23:59:59.000Z

385

Intelligent-based Structural Damage Detection Model  

SciTech Connect

This paper presents the application of a novel Artificial Neural Network (ANN) model for the diagnosis of structural damage. The ANN model, denoted as the GRNNFA, is a hybrid model combining the General Regression Neural Network Model (GRNN) and the Fuzzy ART (FA) model. It not only retains the important features of the GRNN and FA models (i.e. fast and stable network training and incremental growth of network structure) but also facilitates the removal of the noise embedded in the training samples. Structural damage alters the stiffness distribution of the structure and so as to change the natural frequencies and mode shapes of the system. The measured modal parameter changes due to a particular damage are treated as patterns for that damage. The proposed GRNNFA model was trained to learn those patterns in order to detect the possible damage location of the structure. Simulated data is employed to verify and illustrate the procedures of the proposed ANN-based damage diagnosis methodology. The results of this study have demonstrated the feasibility of applying the GRNNFA model to structural damage diagnosis even when the training samples were noise contaminated.

Lee, Eric Wai Ming; Yu, K.F. [Department of Building and Construction, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong (Hong Kong)

2010-05-21T23:59:59.000Z

386

FE Categorical Exclusions | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3, 2011 3, 2011 CX-007124: Categorical Exclusion Determination Predicting Log Porosity and Saturations from Mud Logs and Drilling Rates Using Artificial Intelligence CX(s) Applied: A9 Date: 10/03/2011 Location(s): Socorro, New Mexico Office(s): Fossil Energy September 30, 2011 CX-006878: Categorical Exclusion Determination Integrated Gasification Combined Cycle Affordability and Availability CX(s) Applied: A9 Date: 09/30/2011 Location(s): Schenectady, New York Office(s): Fossil Energy, National Energy Technology Laboratory September 30, 2011 CX-006877: Categorical Exclusion Determination Integrated Gasification Combined Cycle Affordability and Availability CX(s) Applied: A9 Date: 09/30/2011 Location(s): Houston, Texas Office(s): Fossil Energy, National Energy Technology Laboratory

387

Demonstration of Intelligent Control and Fan Improvements in Computer Room  

NLE Websites -- All DOE Office Websites (Extended Search)

Demonstration of Intelligent Control and Fan Improvements in Computer Room Demonstration of Intelligent Control and Fan Improvements in Computer Room Air Handlers Title Demonstration of Intelligent Control and Fan Improvements in Computer Room Air Handlers Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6007E Year of Publication 2012 Authors Coles, Henry C., Steve E. Greenberg, and Corrine Vita Document Number LBNL-6007E Date Published 12/2012 Publisher Lawrence Berkeley National Laboratory City Berkeley, CA Keywords air distribution, building technology and urban systems department, computer room air handler, crah control, data center, data center crah, ec fan, ecm, ecm fan, fan speed control, high tech and industrial systems group, plug fan, variable frequency drive, vfd, wireless control Abstract

388

An intelligent-ranking framework for web services selection process  

Science Journals Connector (OSTI)

This paper introduces an intelligent framework for selecting the best candidate service from the registered and published services within a particular registry through analysing the providers, the consumers and the registry constraints in addition to the business environment requirements. The proposed framework involves three particular phases conforming to the main structure of service-oriented architecture (SOA) which is the provider, consumer and registry. In each phase, an appropriate intelligent technique is deployed for establishing a particular functionality. Specifically, an intelligent agent technique is run at the provider's side for validating the encapsulated business within the designed WSs, a data mining model is executed at the registry's side for classifying the registered WSs with respect to their quality of services (QoS) parameters, and a statistical methodology which combines the registry and consumers' preferences is applied in order to recommend the best WS expected to operate properly with the target business process.

Alshaimaa Mustafa; Hany F. ElYamany; Mahmoud Elarabawy; Nashwa M. Yhiea; Hossam M. Faheem

2014-01-01T23:59:59.000Z

389

Acheiving speech intelligibility at Paddington Station, London, UK  

Science Journals Connector (OSTI)

Paddington Station in London UK is a large rail terminus for long distance electric and diesel powered trains. This magnificent train shed has four arched spans and is one of the remaining structural testaments to the architect Brunel. Given the current British and European legislative requirements for intelligible speech in public buildings AMS Acoustics were engaged to design an electroacoustic solution. In this paper we will outline how the significant problems of lively natural acoustics the high operational noise levels and the strict aesthetic constraints were addressed. The resultant design is radical using the most recent dsp controlled line array loudspeakers. In the paper we detail the acoustic modeling undertaken to predict both even direct sound pressure level coverage and STI. Further it presents the speech intelligibility measured upon handover of the new system. The design has proved to be successful and given the nature of the space outstanding speech intelligibility is achieved.

2002-01-01T23:59:59.000Z

390

Distributed Intelligent Agents for Decision Making at Local Distributed  

NLE Websites -- All DOE Office Websites (Extended Search)

Distributed Intelligent Agents for Decision Making at Local Distributed Distributed Intelligent Agents for Decision Making at Local Distributed Energy Resource (DER) Levels Speaker(s): David Cohen Date: June 3, 2005 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Peng Xu Our goals are to develop and commercialize a system of adaptive, intelligent software components which run at distributed locations (DER-level) on the energy network to improve the reliability, efficiency, and security of the U.S. electrical distribution network. We are developing GridAgents, an enabling software technology framework and platform using a distributed multi-agent systems approach for advanced communications and control capabilities (large- scale automated demand response, distribution automation control, and Microgrid control applications). For more

391

Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon  

NLE Websites -- All DOE Office Websites (Extended Search)

Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon Lessons Learned from the Intelligent Workplace Project at Carnegie Mellon University Speaker(s): Sila Kiliccote Date: March 16, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Francis Rubinstein The Robert L. Preger Intelligent Workplace (IW) at Carnegie Mellon University, which opened in December 1997, is a living laboratory designed to explore how new technologies and concepts can be applied to the built environment to improve building efficiency and human performance. The project's goals are to provide:1) User comfort and satisfaction; 2) Organizational Flexibility; 3) Technological Adaptability; and 4) Environmental Sustainability.At this unique site, the building systems integration issues posed a bigger challenge than expected. Most systems

392

Cultural intelligence support for military operations  

SciTech Connect

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.

Guthormsen, Nay M [Los Alamos National Laboratory; Mac Kerrow, Edward P [Los Alamos National Laboratory; Merritt, Terence [Los Alamos National Laboratory; Morgart, Ruth E [INTERNATIONAL ATOMIC ENERGY

2010-01-01T23:59:59.000Z

393

Artificial films mimic myelin sheath in new research  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research This platform provides a model for robust implementation of phospholipid multilayers and a means toward future applications of functional phospholipid supramolecular assemblies in device integration. September 11, 2013 Schematic of robust hybrid model membrane Schematic of robust hybrid model membrane The journal ACS Nano published the research team's findings, and this is the first report of a hybrid and highly ordered phospholipid-based multilayer assembly that maintains its structure and fluid functionality upon incorporation into a synthetic inorganic matrix. Los Alamos researchers and collaborators recently synthesized and characterized highly ordered and stable phospholipid-silica thin films that

394

Artificial films mimic myelin sheath in new research  

NLE Websites -- All DOE Office Websites (Extended Search)

Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research Artificial films mimic myelin sheath in new research This platform provides a model for robust implementation of phospholipid multilayers and a means toward future applications of functional phospholipid supramolecular assemblies in device integration. September 11, 2013 Schematic of robust hybrid model membrane Schematic of robust hybrid model membrane The journal ACS Nano published the research team's findings, and this is the first report of a hybrid and highly ordered phospholipid-based multilayer assembly that maintains its structure and fluid functionality upon incorporation into a synthetic inorganic matrix. Los Alamos researchers and collaborators recently synthesized and characterized highly ordered and stable phospholipid-silica thin films that

395

Lighting system combining daylight concentrators and an artificial source  

DOE Patents (OSTI)

A combined lighting system for a building interior includes a stack of luminescent solar concentrators (LSC), an optical conduit made of preferably optical fibers for transmitting daylight from the LSC stack, a collimating lens set at an angle, a fixture for receiving the daylight at one end and for distributing the daylight as illumination inside the building, an artificial light source at the other end of the fixture for directing artifical light into the fixture for distribution as illumination inside the building, an automatic dimmer/brightener for the artificial light source, and a daylight sensor positioned near to the LSC stack for controlling the automatic dimmer/brightener in response to the daylight sensed. The system also has a reflector positioned behind the artificial light source and a fan for exhausting heated air out of the fixture during summer and for forcing heated air into the fixture for passage into the building interior during winter.

Bornstein, Jonathan G. (Miami, FL); Friedman, Peter S. (Toledo, OH)

1985-01-01T23:59:59.000Z

396

Intelligent energy management agent for a parallel hybrid vehicle  

E-Print Network (OSTI)

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

Won, Jong-Seob

2004-09-30T23:59:59.000Z

397

On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks Modeling (With a Case Study)  

E-Print Network (OSTI)

431 On Teaching Quality Improvement of a Mathematical Topic Using Artificial Neural Networks inspired by simulation by Artificial Neural Networks (ANNs) applied recently for evaluation of phonics performance. Keywords: Artificial Neural Networks, Learning Performance Evaluation, Computer Aided Learning

Spagnolo, Filippo

398

Evolving artificial neural network structure using grammar encoding and colonial competitive algorithm  

Science Journals Connector (OSTI)

Evolving artificial neural network usually refers to network structure evolution leaving the networks parameters to be trained using conventional ... paper, we present a new method for artificial neural network ...

Maryam Tayefeh Mahmoudi; Fattaneh Taghiyareh

2013-05-01T23:59:59.000Z

399

AN ARTIFICIAL NEURAL NETWORK BASED TRANSMISSION LOSS ALLOCATION FOR BILATERAL CONTRACTS  

E-Print Network (OSTI)

AN ARTIFICIAL NEURAL NETWORK BASED TRANSMISSION LOSS ALLOCATION FOR BILATERAL CONTRACTS Rezaul to allocate transmission loss to respective transactions. An artificial neural network based transmission loss technique. Keywords: Neural network; transmission loss; loss allocation; bilateral contracts. 1

Saskatchewan, University of

400

Artificial Neural Network-Based Lot Number Recognition for Cadastral Map  

Science Journals Connector (OSTI)

This paper discusses the implementation of an artificial neural network in detecting lot numbers in a cadastral ... image resizing. A feed-forward with backpropagation artificial neural network was then implement...

Dave E. Marcial; Ed Darcy Dy

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Interplay of oxygen-evolution kinetics and photovoltaic power curves on the construction of artificial leaves  

E-Print Network (OSTI)

An artificial leaf can perform direct solar-to-fuels conversion. The construction of an efficient artificial leaf or other photovoltaic (PV)-photoelectrochemical device requires that the power curve of the PV material and ...

Surendranath, Yogesh

402

USING INTELLIGENT AGENTS TO UNDERSTAND MANAGEMENT PRACTICES AND RETAIL PRODUCTIVITY  

E-Print Network (OSTI)

USING INTELLIGENT AGENTS TO UNDERSTAND MANAGEMENT PRACTICES AND RETAIL PRODUCTIVITY Peer. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context and retail productivity. Despite the fact we are working within a relatively novel and complex domain

Aickelin, Uwe

403

ECONOMIC ENHANCEMENT THROUGH INFRASTRUCTURE STEWARDSHIP A Mobile Intelligent Transportation  

E-Print Network (OSTI)

(ITS) PLatform OTCES10.2-02 Oklahoma Transportation Center Phone: 405.732.6580 2601 Liberty Parkway AND ADDRESS Oklahoma Transportation Center (Fiscal) 201 ATRC Stillwater, OK 74078 (Technical) 2601 Liberty. ABSTRACT In this project we developed and purchased new Mobile Intelligent Transportation (M- ITS) assets

Atiquzzaman, Mohammed

404

Design and implementation of efficient intelligent robotic gripper  

Science Journals Connector (OSTI)

The gripper is a critical component of the industrial robot. It is greatly useful in industrial environments for object grasping during handling process. In this paper, a gripper is designed and implemented to grasp unknown objects with different masses, ... Keywords: ANFIS modeling, fuzzy control, intelligent robotic gripper, tactile sensors

A. M. Zaki; O. A. Mahgoub; A. M. El-Shafei; A. M. Soliman

2010-11-01T23:59:59.000Z

405

Wireless User Interface Devices for Connected Intelligent Environments  

E-Print Network (OSTI)

interpret the user's intention. Here I describe the XWand research prototype system, further described gestures or speech to control the device. The intelligent environment system interprets the user of the Earth's magnetic field in 3 dimensions, and can be used to compute the yaw angle of the device. · Murata

Bernstein, Phil

406

Improving weapons of mass destruction intelligence Arnold Kanter  

E-Print Network (OSTI)

1 Improving weapons of mass destruction intelligence Arnold Kanter The Scowcroft Group 900;2 Combating the spread of weapons of mass destruction (WMD) is one of the most important foreign policy of nuclear capability by sub-national states and the security of WMD weapons, materials, and technology

Deutch, John

407

Affect Transfer by Metaphor for an Intelligent Conversational Agent  

E-Print Network (OSTI)

Affect Transfer by Metaphor for an Intelligent Conversational Agent Alan Wallington and Rodrigo with a number of `worked examples'. Alan Wallington School of Computer Science, University of Birmingham, Birmingham B152TT, e-mail: Alan. Wallington@dunelm.org.uk,A.M.Wallington@cs.bham.ac.uk Rodrigo Agerri School

Lee, Mark

408

NASA/TM-1998-208419 Buckets: Aggregative, Intelligent Agents  

E-Print Network (OSTI)

May 1998 NASA/TM-1998-208419 Buckets: Aggregative, Intelligent Agents for Publishing Michael L Dominion University, Norfolk, Virginia #12;The NASA STI Program Office ... in Profile Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA Scientific

Nelson, Michael L.

409

Intelligent Train Scheduling on a High-Loaded Railway Network  

E-Print Network (OSTI)

Intelligent Train Scheduling on a High-Loaded Railway Network A. Lova1 , P. Tormos1 , F. Barber2 application to assist planners in adding new trains on a complex railway network. It includes many trains. The application builds the timeta- ble for new trains linking the available time slots to trains to be schedu- led

Salido, Miguel Angel

410

Knowledge-Intensive Case-Based Reasoning and Intelligent Tutoring  

E-Print Network (OSTI)

Knowledge-Intensive Case-Based Reasoning and Intelligent Tutoring Agnar Aamodt Department Norway agnar.aamodt@idi.ntnu.no Abstract. Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In the system Creek, developed in our group, there is a strong coupling between

Aamodt, Agnar

411

Intelligent demand side energy management system for autonomous polygeneration microgrids  

Science Journals Connector (OSTI)

Autonomous polygeneration microgrids is a novel approach in addressing the needs of remote areas. These needs can include power, fuel for transportation in the form of hydrogen, potable water through desalination and space heating and cooling. This approach has been investigated technically and economically and has proved viable. Further research has taken place in the supervisory management of this topology using computational intelligence techniques like fuzzy logic, which has optimized the concept minimizing the sizes of the installed components. The optimal design of the system can meet, though, only the design principles and needs. In reality experience has shown that most autonomous power systems operate out of specifications very shortly after installation or after a couple of years new needs arise and it is not possible economic wise for the people to extend it. In these cases the microgrid would struggle to cover the increased needs and in the end fail, causing blackouts. A solution to this is partial load shedding in an intelligent manner. This paper presents a multi agent system for intelligent demand side management of the polygeneration microgrid topology which also includes grey prediction algorithms for better management. This approach can also be used for designing the optimal polygeneration microgrid for a given amount of an investment. The results show that the proposed intelligent demand side management system can address its design principles successfully and guaranty the most effective operation even in conditions near and over the limits of the design specification of the autonomous polygeneration microgrid.

George Kyriakarakos; Dimitrios D. Piromalis; Anastasios I. Dounis; Konstantinos G. Arvanitis; George Papadakis

2013-01-01T23:59:59.000Z

412

The role of soft computing in intelligent machines  

Science Journals Connector (OSTI)

...dynamically varying environments. Techniques of intelligent...the machine and its environment, and unexpected or...g. specialist, engineer, scientist, financial...experts and knowledge engineers will be involved in...knowledge base. It is the responsibility of the user, then...

2003-01-01T23:59:59.000Z

413

Intelligent Energy, Boeing to develop fuel cell plane  

Science Journals Connector (OSTI)

UK-based PEM fuel cell producer Intelligent Energy has been selected by US aerospace giant Boeing as a partner to develop the worlds first fuel-cell-powered aeroplane for manned flight. Fuel cells will be used to replace auxiliary power units (APUs), improving fuel efficiency. Visit www.re-focus.net for the latest renewable energy industry news

2003-01-01T23:59:59.000Z

414

An advanced STEP-NC controller for intelligent machining processes  

Science Journals Connector (OSTI)

Major improvements in high speed machining technologies are not followed by suitable evolutions of the programming standard ISO 6983, also called G-code. New STEP-NC standard aims at performing high level intelligent NC programming adapted to modern ... Keywords: CNC Controller, Multiprocess manufacturing, Optimization, STEP-NC, Simulation

Matthieu Rauch; Raphael Laguionie; Jean-Yves Hascoet; Suk-Hwan Suh

2012-06-01T23:59:59.000Z

415

3D PRINTING FOR INTELLIGENT METALLIC STRUCTURES M. Strantza1  

E-Print Network (OSTI)

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

Boyer, Edmond

416

Extracting Key Factors to Design Applications in Ambient Intelligence Environment  

Science Journals Connector (OSTI)

In an ambient intelligence environment, the design of applications influences the users behavior heavily. The purpose of this paper is to provide key factors considered necessary in developing those applications. We developed four applications applied ... Keywords: ambient feedback, persuasive technology, behavior modification, emotional engagement

Hiroaki Kimura; Tatsuo Nakajima

2008-12-01T23:59:59.000Z

417

Application of Parallel Processing to Intelligent Control of Mobile Robots  

E-Print Network (OSTI)

to meetfuture needs. Key words: Mobile Robots, Parallel Processing, Intelligent Control, Architecture. 1 to navigate its environment, build or update maps, plan and execute actions, and adapt its behaviour to envir requires multi-processorarchitectures to bear the burden of processing loads. Such computer architectures

Hu, Huosheng

418

INTELLIGENT SYSTEMS FOR MIXING MULTICHANNEL AUDIO Joshua D. Reiss  

E-Print Network (OSTI)

in the engineering tasks and requirements that must be addressed during the audio production process. Although't have the time, expertise or inclination to perform all the audio engineering required. Similarly, [2INTELLIGENT SYSTEMS FOR MIXING MULTICHANNEL AUDIO Joshua D. Reiss Centre for Digital Music, Queen

Reiss, Josh

419

GRIP Grids with Intelligent Periphery: Control Architectures for Grid2050  

E-Print Network (OSTI)

challenge to the integration of these sources into the electric grid operations. The principal purposeGRIP ­ Grids with Intelligent Periphery: Control Architectures for Grid2050 D. Bakken, A. Bose, K@eecs.berkeley.edu Abstract--A distributed control and coordination archi- tecture for integrating inherently variable

Low, Steven H.

420

Echo Meadows Project Winter Artificial Recharge.  

SciTech Connect

This report discusses the findings of the Echo Meadows Project (BPA Project 2001-015-00). The main purpose of this project is to artificially recharge an alluvial aquifer, WITH water from Umatilla River during the winter high flow period. In turn, this recharged aquifer will discharge an increased flow of cool groundwater back to the river, thereby improving Umatilla River water quality and temperature. A considerable side benefit is that the Umatilla River should improve as a habitat for migration, spanning, and rearing of anadromous and resident fish. The scope of this project is to provide critical baseline information about the Echo Meadows and the associated reach of the Umatilla River. Key elements of information that has been gathered include: (1) Annual and seasonal groundwater levels in the aquifer with an emphasis on the irrigation season, (2) Groundwater hydraulic properties, particularly hydraulic conductivity and specific yield, and (3) Groundwater and Umatilla River water quality including temperature, nutrients and other indicator parameters. One of the major purposes of this data gathering was to develop input to a groundwater model of the area. The purpose of the model is to estimate our ability to recharge this aquifer using water that is only available outside of the irrigation season (December through the end of February) and to estimate the timing of groundwater return flow back to the river. We have found through the data collection and modeling efforts that this reach of the river had historically returned as much as 45 cubic feet per second (cfs) of water to the Umatilla River during the summer and early fall. However, this return flow was reduced to as low as 10 cfs primarily due to reduced quantities of irrigation application, gain in irrigation efficiencies and increased groundwater pumping. Our modeling indicated that it is possible to restore these critical return flows using applied water outside of the irrigation season. We further found that this water can be timed to return to the river during the desired time of the year (summer to early fall). This is because the river stage, which remains relatively high until this time, drops during the irrigation season-thereby releasing the stored groundwater and increasing river flows. A significant side benefit is that these enhanced groundwater return flows will be clean and cold, particularly as compared to the Umatilla River. We also believe that this same type of application of water could be done and the resulting stream flows could be realized in other watersheds throughout the Pacific Northwest. This means that it is critical to compare the results from this baseline report to the full implementation of the project in the next phase. As previously stated, this report only discusses the results of data gathered during the baseline phase of this project. We have attempted to make the data that has been gathered accessible with the enclosed databases and spreadsheets. We provide computer links in this report to the databases so that interested parties can fully evaluate the data that has been gathered. However, we cannot emphasize too strongly that the real value of this project is to implement the phases to come, compare the results of these future phases to this baseline and develop the science and strategies to successfully implement this concept to other rivers in the Pacific Northwest. The results from our verified and calibrated groundwater model matches the observed groundwater data and trends collected during the baseline phase. The modeling results indicate that the return flows may increase to their historic values with the addition of 1 acre-ft/acre of recharge water to the groundwater system (about 9,600 acre-feet total). What this means is that through continued recharge project, you can double to quadruple the annual baseflow of the Umatilla River during the low summer and fall flow periods as compared to the present base-flow. The cool and high quality recharge water is a significant beneficial impact to the river system.

Ziari, Fred

2002-12-19T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Artificial neural networks in bias dependant noise modeling of MESFETs  

Science Journals Connector (OSTI)

An efficient procedure for accurate noise parameter prediction of microwave MESFETs / HEMTs for various bias conditions is proposed in this paper. It is based on an improved Pospieszalski's noise model. The bias dependences of the noise model elements ... Keywords: MESFET, artificial neural network, bias, noise modeling

Zlatica Marinkovic; Olivera Pronic-Ran?ic; Vera Markovic

2009-08-01T23:59:59.000Z

422

NEST Scientific Report 2007-2009 Graphene and artificial graphene  

E-Print Network (OSTI)

NEST Scientific Report 2007-2009 Graphene 43 Graphene and artificial graphene T his area-layer graphene behave like massless fermions. Graphene is a first remarkable and clean example of the impact of a potential with honeycomb structure on the electronic states and dynamics. In graphene the crystalline

Abbondandolo, Alberto

423

NUTRIENT LIMITATION AND PHOSPHATE REGENERATION IN ARTIFICIAL CUTAWAY  

E-Print Network (OSTI)

flooded to create a linked network of lakes and wetlands designed for conservation and amenity purposes. The current study examined water quality in four artificial cutaway peatland lakes over three years (2001Á2004 phosphorus pool via biotic and abiotic processes. The cutaway lakes contrasted strongly in both their physico

McCarthy, T.K.

424

Safety Criteria and Safety Lifecycle for Artificial Neural Networks  

E-Print Network (OSTI)

Safety Criteria and Safety Lifecycle for Artificial Neural Networks Zeshan Kurd, Tim Kelly and Jim performance based techniques that aim to improve the safety of neural networks for safety critical applications. However, many of these techniques provide inadequate forms of safety arguments required

Kelly, Tim

425

Safety Lifecycle for Developing Safety Critical Artificial Neural Networks  

E-Print Network (OSTI)

Safety Lifecycle for Developing Safety Critical Artificial Neural Networks Zeshan Kurd, Tim Kelly. There are many techniques that aim to improve the performance of neural networks for safety-critical systems. Consequently, their role in safety-critical applications, if any, is typically restricted to advisory systems

Kelly, Tim

426

Self-assembling DNA templates for programmed artificial biomineralization  

E-Print Network (OSTI)

Self-assembling DNA templates for programmed artificial biomineralization Enrique C. Samano created via engineered DNA self-assembly represent an important new class of soft matter. These assemblies nanostructures Our current ability to create complex DNA nanostructures via designed self- assembly owes much

Finkelstein, Gleb

427

Artificial Life, The Second Law of Thermodynamics, and Kolmogorov Complexity  

E-Print Network (OSTI)

Artificial Life, The Second Law of Thermodynamics, and Kolmogorov Complexity John R. Woodward, Amin parasitic behavior. The second law of thermodynamics states that the entropy of an isolated system. In section III we examine entropy and the second law of thermodynamics. In section IV we examine

Woodward, John

428

Growth Properties of Artificial Heterogeneous Human Colon Tumors  

Science Journals Connector (OSTI)

...AHT, artificial heterogeneous tumor; CFE, colony-forming efficiency; CC, carrying...counted by eye for estimation of the overall CFE from each sample. Each colony was visually...confident that not only could the overall CFE from each tumor be measured, but that we...

John T. Leith; Seth Michelson; Lynn E. Faulkner; Sarah F. Bliven

1987-02-15T23:59:59.000Z

429

Artificial Neural Networks and Hidden Markov Models for Predicting the Protein Structures: The Secondary Structure  

E-Print Network (OSTI)

1 Artificial Neural Networks and Hidden Markov Models for Predicting the Protein Structures advice on the development of this project #12;2 Artificial Neural Networks and Hidden Markov Models learning methods: artificial neural networks (ANN) and hidden Markov models (HMM) (Rost 2002; Karplus et al

430

Using an artificial neural network to classify black-capped chickadee (Poecile atricapillus) call note types  

E-Print Network (OSTI)

Using an artificial neural network to classify black-capped chickadee (Poecile atricapillus) call each described as a set of 9 summary features. An artificial neural network was trained to identify, a nonlinear statistical method artificial neural net- work and a linear statistical method linear discriminant

Dawson, Michael

431

The Holocene 9,5 (1999) pp. 521529 Artificial neural networks and  

E-Print Network (OSTI)

The Holocene 9,5 (1999) pp. 521­529 Artificial neural networks and dendroclimatic reconstructions Platte River basin from tree- ring chronologies using artificial neural networks is explored. The use of artificial neural networks allows a comparison of reconstructions resulting from both linear and nonlinear

Woodhouse, Connie

432

Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks  

E-Print Network (OSTI)

Dynamic Pattern Recognition in Sport by Means of Artificial Neural Networks Jürgen Perl, Peter to store these data but to transform them into useful information. Artificial Neural Networks turn out the data. This is the point where Artificial Neural Networks can become extremely helpful: They are able

Perl, Jürgen

433

1 Introduction The artificial neural network discussed in this paper is unlike most other neural network  

E-Print Network (OSTI)

1 1 Introduction The artificial neural network discussed in this paper is unlike most other neural practically all types of artificial neural network architectures were modeled, with varying levels of Connection Patterns for a Dynamic Artificial Neural Network Proceedings of the Combinations of Genetic

Delaware, University of

434

Review and comparison of methods to study the contribution of variables in artificial neural network models  

E-Print Network (OSTI)

, Greece Abstract Convinced by the predictive quality of artificial neural network (ANN) models in ecology. # 2002 Published by Elsevier Science B.V. Keywords: Artificial neural networks; Backpropagation; NonReview and comparison of methods to study the contribution of variables in artificial neural

Lek, Sovan

435

Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling  

E-Print Network (OSTI)

Comparative application of artificial neural networks and genetic algorithms for multivariate time of artificial neural networks and genetic algorithms in terms of forecasting and understanding of algal blooms-a, Microcystis, short-term prediction, artificial neural network model, genetic algorithm model, rule sets

Fernandez, Thomas

436

Michel Verleysen Altran 18/11/2002 -1 Artificial Neural Networks  

E-Print Network (OSTI)

1 Michel Verleysen Altran 18/11/2002 - 1 Artificial Neural Networks: general overview and specific: Introduction pwhy "artificial neural networks" (ANN) ? pwhat are ANNs useful for? ? plearning ­ generalization Verleysen Altran 18/11/2002 - 3 Content p Part I: Introduction pwhy "artificial neural networks" (ANN

Verleysen, Michel

437

Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks  

E-Print Network (OSTI)

Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks János Ltd., Budapest 1121, Hungary An artificial neural network (ANN) solution is described, are forwarded to feed-forward artificial neural networks with six input and six hidden units with sigmoidal

Szepesvari, Csaba

438

May 24, 2012 18:36 manuscript Data Processing using Artificial Neural Networks  

E-Print Network (OSTI)

May 24, 2012 18:36 manuscript Data Processing using Artificial Neural Networks to Improve uncertainties introduced by the 4D-CT scan, we conveniently treated data using artificial neural networks. More step are then used to build a training set for another artificial neural network that learns the lung

Paris-Sud XI, Université de

439

A simplified approach to quantifying predictive and parametric uncertainty in artificial neural network hydrologic models  

E-Print Network (OSTI)

considerable interest in developing methods for uncertainty analysis of artificial neural network (ANN) models and parametric uncertainty in artificial neural network hydrologic models, Water Resour. Res., 43, W10407, doi:10A simplified approach to quantifying predictive and parametric uncertainty in artificial neural

Chaubey, Indrajeet

440

Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks  

E-Print Network (OSTI)

Automatic classification of Sleep Stages on a EEG signal by Artificial Neural Networks Nizar of modeling and design to improve the performances of our tool. Key-Words: - Artificial Neural Networks data analysis tools. Concerning this latter point, we have proposed that Artificial Neural Networks

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Ecological Modelling 120 (1999) 6573 Artificial neural networks as a tool in ecological modelling,  

E-Print Network (OSTI)

Ecological Modelling 120 (1999) 65­73 Artificial neural networks as a tool in ecological modelling-34032 Montpellier cedex 1, France Abstract Artificial neural networks (ANNs) are non-linear mapping), genetic algorithms (d'Angelo et al., 1995; Golikov et al., 1995) and artificial neural networks, i.e. ANN

Roche, Benjamin

442

Ecological Modelling 120 (1999) 349358 Use of artificial neural networks for predicting rice crop  

E-Print Network (OSTI)

Ecological Modelling 120 (1999) 349­358 Use of artificial neural networks for predicting rice crop of artificial neural networks (ANN) in predicting presence or absence of flamingo damages from 11 variables B.V. All rights reserved. Keywords: Flamingos; Rice; Damage; Artificial neural networks; Prediction

Lek, Sovan

443

Artificial neural networks in models of specialisation, guild evolution and sympatric speciation  

E-Print Network (OSTI)

11 Artificial neural networks in models of specialisation, guild evolution and sympatric speciation 1/12/10 6:05:26pm page 236 Modelling Perception in Artificial Neural Networks, ed. C. R. Tosh and G artificial neural networks as models for the plant recognition mechanism in insects (Holmgren & Getz,

Getz, Wayne M.

444

Advances in ungauged streamflow prediction using artificial neural networks Lance E. Besaw a  

E-Print Network (OSTI)

Advances in ungauged streamflow prediction using artificial neural networks Lance E. Besaw-John Chang, Associate Editor Keywords: Ungauged streamflow prediction Artificial neural networks Time and test two artificial neural networks (ANNs) to forecast streamflow in unga- uged basins. The model

Vermont, University of

445

Combining Q-Learning with Artificial Neural Networks in an Adaptive Light Seeking Robot  

E-Print Network (OSTI)

Combining Q-Learning with Artificial Neural Networks in an Adaptive Light Seeking Robot Steve Dini an artificial neural network as a function approximator and eliminate the need for an explicit table. 1 limitations of using tables as well as the viability of using artificial neural networks to approximate

Meeden, Lisa A.

446

Fluorescence diagnostics of oil pollution in coastal marine waters by use of artificial neural networks  

E-Print Network (OSTI)

marine waters with fluorescence spectroscopy and of using artificial neural networks for data interpre with an artificial neural network. The results demonstrate the possibility of estimating oil concentrationsFluorescence diagnostics of oil pollution in coastal marine waters by use of artificial neural

Oldenburg, Carl von Ossietzky Universität

447

Zhang, Wang, and Wei 1 An Artificial Neural Network Method for Length-based  

E-Print Network (OSTI)

Zhang, Wang, and Wei 1 An Artificial Neural Network Method for Length-based Vehicle Classification this problem, we develop an artificial neural network method to estimate classified vehicle volumes directly stations on I-5 over a long duration. The results show that the proposed artificial neural network model

Wang, Yinhai

448

Artificial neural network discrimination of black-capped chickadee (Poecile atricapillus) call notes  

E-Print Network (OSTI)

Artificial neural network discrimination of black-capped chickadee (Poecile atricapillus) call; revised 11 April 2006; accepted 12 May 2006 Artificial neural networks were trained to discriminate number s : 43.80Ka., 43.80.Lb, 43.80.Jz JAS Pages: 1111­1117 I. INTRODUCTION An artificial neural network

Dawson, Michael

449

Artificial Neural Network Analysis for Evaluation of Peptide MS/MS Spectra in Proteomics  

Science Journals Connector (OSTI)

An artificial neural network, based on multilayer perceptron and comprising 10 artificial neurons in the input layer, 23, 10, and 7 neurons in three consecutive hidden layers, and a single neuron in the output layer, was used. ... Use of artificial neural networks for the accurate prediction of peptide liquid chromatography elution times in proteome analyses ...

Tomasz Ba?czek; Adam Buci?ski; Alexander R. Ivanov; Roman Kaliszan

2004-02-05T23:59:59.000Z

450

SEQUENTIAL IMPORTANCE SAMPLING BASED ON A COMMITTEE OF ARTIFICIAL NEURAL NETWORKS FOR POSTERIOR HEALTH  

E-Print Network (OSTI)

SEQUENTIAL IMPORTANCE SAMPLING BASED ON A COMMITTEE OF ARTIFICIAL NEURAL NETWORKS FOR POSTERIOR) is used in this study to filter the output distribution from a committee of Artificial Neural Networks at discrete time steps. KEYWORDS : model identification, artificial neural network, committee, sequential

Paris-Sud XI, Université de

451

Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool  

E-Print Network (OSTI)

Stream classification using hierarchical artificial neural networks: A fluvial hazard management-in-Chief Keywords: Stream classification Artificial neural networks Kohonen self-organizing maps Counterpropagation. In this research, we apply non-parametric, clus- tering and classification artificial neural networks to assimilate

Vermont, University of

452

in: Third German Workshop on Artificial Life C. Wilke and S. Altmeyer and T. Martinetz, Editors,  

E-Print Network (OSTI)

in: Third German Workshop on Artificial Life C. Wilke and S. Altmeyer and T. Martinetz, Editors, pp chemistry provides an abstract model for a complex chemical system which consists of a potentially infinite is an artificial system, which is similar to a chemical system. Bagley and Farmer write in [1]: An artificial

Dittrich, Peter

453

Testing of Safety-Critical Software Embedded in an Artificial Heart  

E-Print Network (OSTI)

Testing of Safety-Critical Software Embedded in an Artificial Heart Sungdeok Cha1 , Sehun Jeong1 frequently to control medical devices such as artificial heart or robotic surgery system. While much (KAOC). It is a state-of-the-art artificial heart which completed animal testing phase. We per- formed

454

The U.S. Army's VehicleThe U.S. Army's Vehicle Intelligence Program (AVIP):Intelligence Program (AVIP)  

E-Print Network (OSTI)

@ornl.gov David J. Gorsich U.S. Army Tank-Automotive and Armaments Command AMSTA-TR-N, Warren, Michigan 49397 Intelligence (VI) is the application and integration of vehicle electronics (telematics) within vehicles) is the application and integration of vehicle electronics (telematics) within vehicles in order to provide a more

455

Synthetic nanotubes lay foundation for new technology: Artificial pores  

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Synthetic nanotubes lay foundation for new technology: Artificial pores Synthetic nanotubes lay foundation for new technology: Artificial pores mimic key features of natural pores By Tona Kunz * July 17, 2012 Tweet EmailPrint Scientists have overcome key design hurdles to expand the potential uses of nanopores and nanotubes. The creation of smart nanotubes with selective mass transport opens up a wider range of applications for water purification, chemical separation and fighting disease. Nanopores and their rolled up version, nanotubes, consist of atoms bonded to each other in a hexagonal pattern to create an array of nanometer-scale openings or channels. This structure creates a filter that can be sized to select which molecules and ions pass into drinking water or into a cell. The same filter technique can limit the release of chemical by-products

456

Using Intelligent Agents to Understand Management Practices and Retail Productivity  

E-Print Network (OSTI)

Intelligent agents offer a new and exciting way of understanding the world of work. In this paper we apply agent-based modeling and simulation to investigate a set of problems in a retail context. Specifically, we are working to understand the relationship between human resource management practices and retail productivity. Despite the fact we are working within a relatively novel and complex domain, it is clear that intelligent agents could offer potential for fostering sustainable organizational capabilities in the future. The project is still at an early stage. So far we have conducted a case study in a UK department store to collect data and capture impressions about operations and actors within departments. Furthermore, based on our case study we have built and tested our first version of a retail branch simulator which we will present in this paper.

Siebers, Peer-Olaf; Celia, Helen; Clegg, Christopher

2008-01-01T23:59:59.000Z

457

A Proposed Artificial Neural Network Classifier to Identify Tumor Metastases  

E-Print Network (OSTI)

In this paper we propose a classification scheme to isolate truly benign tumors from those that initially start off as benign but subsequently show metastases. A non-parametric artificial neural network methodology has been chosen because of the analytical difficulties associated with extraction of closed-form stochastic-likelihood parameters given the extremely complicated and possibly non-linear behavior of the state variables.

M. Khoshnevisan; Sukanto Bhattacharya; Florentin Smarandache

2002-12-09T23:59:59.000Z

458

AUTOMATED DEFECT CLASSIFICATION USING AN ARTIFICIAL NEURAL NETWORK  

SciTech Connect

The automated defect classification algorithm based on artificial neural network with multilayer backpropagation structure was utilized. The selected features of flaws were used as input data. In order to train the neural network it is necessary to prepare learning data which is representative database of defects. Database preparation requires the following steps: image acquisition and pre-processing, image enhancement, defect detection and feature extraction. The real digital radiographs of welded parts of a ship were used for this purpose.

Chady, T.; Caryk, M. [Szczecin University of Technology, Department of Electrical Engineering (Poland); Piekarczyk, B. [Technic-Control, Szczecin (Poland)

2009-03-03T23:59:59.000Z

459

A Data and Knowledge Management System for Intelligent Buildings  

E-Print Network (OSTI)

words: Intelligent building; Assessment; Methodology; Information system 1. INTRODUCTION It is the development and application of modern technologies in the areas of information, communication, materials, and machinery in the construction... Future, Vol.VIII-6-3 management of IBs. It is the authors? initiative to put forward an integrated methodology for lifecycle information management and knowledge utilization of IBs. The methodology will be described by using a novel prototype based...

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

2006-01-01T23:59:59.000Z

460

An Information Visualization Approach to Intelligent Building Assessment  

E-Print Network (OSTI)

approach can be applied to support IB assessment. Key words: Intelligent building; Assessment; Methodology; Model; Information visualization 1. INTRODUCTION For building assessment, the currently most popular way is to use rating method...-assessment of IBs. 2. METHODOLOGY The methodology adopted in this research comprises several methods focusing on detailed objectives mentioned above. First of all, an extensive literature review is required to explore achievements in the areas of information...

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

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "artificial intelligence cxs" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Intelligent Microsystems: Keys to the Next Silicon Revolution  

SciTech Connect

Paul McWhorter, Deputy Director for of the Microsystems Center at Sandia National Laboratories, discusses the potential of surface micromachining. A vision of the possibilities of intelligent Microsystems for the future is presented along with descriptions of several possible applications. Applications that are just around the corner and some that maybe quite a ways down the road but have a clear development path to their realization. Microsystems will drive the next silicon revolution.

MCWHORTER,PAUL J.

1999-10-20T23:59:59.000Z

462

The international status of intelligence-collecting reconnaissance satellites  

E-Print Network (OSTI)

May 1972 Major Subject: Political Science THE INTERNATIONAL STATUS OF INTELLIGENCE- COLLECTING RECONNAISSANCE SATELLITES A Thesis by BRENT ALLEN GATES Approved as to style and content by: (Chairman of Commit e) 09JD ' J 'd (Head of Department... and legal issues surrounding aerial reconnaissance are examined. It is shown that the rapid technological evolution of spaceborne reconnaissance systems which is taking place in the absence of international agreements governing these systems is a...

Gates, Brent Allen

1972-01-01T23:59:59.000Z

463

E-Print Network 3.0 - applying swarm intelligence Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

deals... studied by swarm intelligence are colonies of ants and ... Source: Birattari, Mauro - Computer and Decision Engineering Department, Universit Libre de Bruxelles; Libre...

464

Intelligent Power Management of a Hybrid Fuel Cell/Energy Storage Distributed Generator  

Science Journals Connector (OSTI)

This book chapter addresses the intelligent power management of a hybrid ( fuel cell/energy storage( distributed generator connected to a power grid. It presents...

Amin Hajizadeh; Ali Feliachi; Masoud Aliakbar Golkar

2012-01-01T23:59:59.000Z

465

Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation.  

SciTech Connect

This is a final report of the DOE award DE-SC0001132, Advanced Artificial Science. The development of an artificial science and engineering research infrastructure to facilitate innovative computational modeling, analysis, and application to interdisciplinary areas of scientific investigation. This document describes the achievements of the goals, and resulting research made possible by this award.

Saffer, Shelley (Sam) I.

2014-12-01T23:59:59.000Z

466

Safeguards in a World of Ambient Intelligence; David Wright, Serge Gutwirth, Michael Friedewald, Elena Vildjiounaite, Yves Punic (eds)  

Science Journals Connector (OSTI)

The European term Ambient Intelligence (AmI)or equivalently ubiquitous and pervasive computing (US) or ubiquitous networking (Japan)reflects a vision of the future of ICT in which intelligence is embedded in...

Neelke Doorn

2009-03-01T23:59:59.000Z

467

Fixed time artificial insemination of sheep using cervical and intrauterine insemination techniques  

E-Print Network (OSTI)

as to style and content by: Cha r, Advssory Comm ttee o ttee e er ttee Member Comm ttee Member August 1992 ABSTRACT The objectives of this study are to: 1) compare pregnancy rates of ewes artificially inseminated either at a fixed time or after... the onset of an observed estrus as determined by marker rams, 2) compare pregnancy rates of ewes artificially inseminated by either cervical or laparoscopic methods, 3) compare pregnancy rates of ewes artificially inseminated with different inseminate...

Bell, James H

1992-01-01T23:59:59.000Z

468

Artificial Brownian motors: Controlling transport on the nanoscale  

Science Journals Connector (OSTI)

In systems possessing spatial or dynamical symmetry breaking, Brownian motion combined with unbiased external input signals, deterministic and random alike, can assist directed motion of particles at submicron scales. In such cases, one speaks of Brownian motors. In this review the constructive role of Brownian motion is exemplified for various physical and technological setups, which are inspired by the cellular molecular machinery: the working principles and characteristics of stylized devices are discussed to show how fluctuations, either thermal or extrinsic, can be used to control diffusive particle transport. Recent experimental demonstrations of this concept are surveyed with particular attention to transport in artificial, i.e., nonbiological, nanopores, lithographic tracks, and optical traps, where single-particle currents were first measured. Much emphasis is given to two- and three-dimensional devices containing many interacting particles of one or more species; for this class of artificial motors, noise rectification results also from the interplay of particle Brownian motion and geometric constraints. Recently, selective control and optimization of the transport of interacting colloidal particles and magnetic vortices have been successfully achieved, thus leading to the new generation of microfluidic and superconducting devices presented here. The field has recently been enriched with impressive experimental achievements in building artificial Brownian motor devices that even operate within the quantum domain by harvesting quantum Brownian motion. Sundry akin topics include activities aimed at noise-assisted shuttling other degrees of freedom such as charge, spin, or even heat and the assembly of chemical synthetic molecular motors. This review ends with a perspective for future pathways and potential new applications.

Peter Hnggi and Fabio Marchesoni

2009-03-30T23:59:59.000Z

469

Neural networks in an intelligent user interface to CAD systems  

E-Print Network (OSTI)

or C cells act as simple and complex filters respectively. Fukushima [FUKU88] designed an architecture called the Neocognitron based on the principles mentioned above. In the Neocognitron model, several layers of cells are arranged in a cascade... of the biological neuron. 3. 2. 3 Feed forward A typical artificial neural network is shown in Figure 3. 4. It consists of three layers of neurons. The first, second and third layers are called the input, hidden and output layers respectively. The circles...

Mudigonda, Sunil K

2012-06-07T23:59:59.000Z

470

Author's personal copy Polite web-based intelligent tutors: Can they improve learning in classrooms?  

E-Print Network (OSTI)

t Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learnAuthor's personal copy Polite web-based intelligent tutors: Can they improve learning in classrooms tutoring systems Interactive learning environments Media in education Pedagogical issues a b s t r a c

McLaren, Bruce Martin

471

Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions  

Science Journals Connector (OSTI)

Objectives: We present KNAVE-II, an intelligent interface to a distributed architecture specific to the tasks of query, knowledge-based interpretation, summarization, visualization, interactive exploration of large numbers of distributed time-oriented ... Keywords: Clinical systems, Human-computer interaction, Intelligent visualization, Knowledge-based systems, Medical informatics, Temporal abstraction, Temporal reasoning

Yuval Shahar; Dina Goren-Bar; David Boaz; Gil Tahan

2006-10-01T23:59:59.000Z

472

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

E-Print Network (OSTI)

Computational Intelligence in Telecommunications Networks, W. Pedrycz and A.V. Vasilakos (Eds.), CRC Press, 2000 1 Intelligent Agents in Telecommunication Networks Costas Tsatsoulis and Leen-Kiat Soh Information and Telecommunication Technology Center (ITTC) Department of Electrical Engineering and Computer

Kansas, University of

473

Intelligent Approaches for Routing Protocols In Cognitive Ad-Hoc Networks  

E-Print Network (OSTI)

Intelligent Approaches for Routing Protocols In Cognitive Ad-Hoc Networks Suyang Ju Submitted to the graduate degree program in Electrical Engineering & Computer Science and the Graduate Faculty of the University of Kansas School...: Intelligent Approaches for Routing Protocols In Cognitive Ad-Hoc Networks Dissertation Committee: _____________________________________ Dr. Joseph B. Evans, Advisor Professor, EECS _____________________________________ Dr. Victor Frost...

Ju, Suyang

2011-12-31T23:59:59.000Z

474

MULTILEVEL SPEECH INTELLIGIBILITY FOR ROBUST SPEAKER RECOGNITION Sridhar Krishna Nemala and Mounya Elhilali  

E-Print Network (OSTI)

a novel segmentation approach based on a perception-based measure of speech intelligibility. Unlike and then fusing the decision scores from the multiple steams according to their intelligibility con- tribution a new direction for front-end pruning of the signal with a perception-based measure of speech

Elhilali, Mounya

475

Serious Games Go Informal: A Museum-Centric Perspective on Intelligent Game-Based Learning  

E-Print Network (OSTI)

WORLDS is a prototype game-based learning environment about environmental sustainability designed. Intelligent game-based learning environments show considerable promise for creating effective and engaging-based learning environments has focused on formal education settings and training. However, intelligent game

Young, R. Michael

476

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

E-Print Network (OSTI)

SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation Enrico Tronci- ing, energy storage (e.g., batteries or plug-in hybrid electric vehicles) and energy production (e economically viable Intelligent Automation Services (IASs), which gather real-time data about energy usage from

Tronci, Enrico

477

Sensor9k: A testbed for designing and experimenting with WSN-based ambient intelligence applications  

Science Journals Connector (OSTI)

Ambient Intelligence systems are typically characterized by the use of pervasive equipment for monitoring and modifying the environment according to users' needs, and to globally defined constraints. Our work describes the implementation of a testbed ... Keywords: Ambient intelligence, Energy efficiency, Probabilistic reasoning, Wireless sensor and actuator networks

Alessandra De Paola; Salvatore Gaglio; Giuseppe Lo Re; Marco Ortolani

2012-06-01T23:59:59.000Z

478

Providing Intelligent Help Across Applications in Dynamic User and Environment Contexts  

E-Print Network (OSTI)

Providing Intelligent Help Across Applications in Dynamic User and Environment Contexts Ashwin@csc.ncsu.edu ABSTRACT The problem of providing help for complex application interfaces has been a source of interest in which they reside. This paper describes an ongoing project to design an Intelligent Help System (IHS

Young, R. Michael

479

Improving students' help-seeking skills using metacognitive feedback in an intelligent tutoring system  

E-Print Network (OSTI)

Improving students' help-seeking skills using metacognitive feedback in an intelligent tutoring on students' help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a commercial tutoring system for geometry

McLaren, Bruce Martin

480

Live Help Systems: An Approach to Intelligent Help for Web Information  

E-Print Network (OSTI)

Live Help Systems: An Approach to Intelligent Help for Web Information Systems Johan °Aberg #12, and it is increasingly important to provide them with support. Our research approach to online help for Web site users is the intro- duction and study of what we call live help systems. A live help system is an intelligent help

Aberg, Johan

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481

Representation of Knowledge Resource in the context of Economic Intelligence Systems  

E-Print Network (OSTI)

, treatment and use of relevant information for economic actors in decision making process of knowledge in the decision making projects of the Economic Intelligence process by acquiring, organizing1 Representation of Knowledge Resource in the context of Economic Intelligence Systems Oladejo

Paris-Sud XI, Université de

482

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

E-Print Network (OSTI)

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

Katz, Jonathan I.

483

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

E-Print Network (OSTI)

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

Pavlovic, Vladimir

484

A knowledge-based intelligent electronic commerce system for selling agricultural products  

Science Journals Connector (OSTI)

This paper presents a knowledge-based intelligent e-commerce system for selling agricultural products. The KIES system not only provides agricultural products sales, financial analysis and sales forecasting, but also provides feasible solutions or actions ... Keywords: Knowledge-based intelligent system, Model base, Rule base, e-Commerce

W. Wen

2007-05-01T23:59:59.000Z

485

Specialized micro grid (IDAPS) for intelligently managing customer-owned DER's  

Science Journals Connector (OSTI)

The electrical power system is an enabling infrastructure that supports the operation of other critical infrastructures and thus the economic well being of a nation. It is, therefore, very important to design for resiliency and autonomous reconfigurability ... Keywords: intelligent distributed autonomous power system (IDAPS), intelligent micro grid, web based technology

Jarupula Somlal

2010-07-01T23:59:59.000Z

486

Artificial Neural Networks as a Tool for Galaxy Classification  

E-Print Network (OSTI)

We describe an Artificial Neural Network (ANN) approach to classification of galaxy images and spectra. ANNs can replicate the classification of galaxy images by a human expert to the same degree of agreement as that between two human experts, to within 2 T-type units. Similar methods are applied to classification of galaxy spectra. In particular, Principal Component Analysis of galaxy spectra can be used to compress the data, to suppress noise and to provide input to the ANNs. These and other classification methods will soon be applied to the Anglo-Australian 2-degree-Field (2dF) redshift survey of 250,000 galaxies.

Ofer Lahav

1996-12-10T23:59:59.000Z

487

Artificial neural network: an upcoming strategic decision planning support tool  

Science Journals Connector (OSTI)

Finding a reliable technique to help in the strategic planning is not a new research issue. Past studies, using several techniques and models, have shown only limited progress. Existing techniques are either too complex and time-consuming or too unreliable for full-scale adoption. Artificial neural network (ANN) technology seems capable of overcoming most of these shortcomings. This paper overviews existing techniques: the strategic-fit concept, CAPM, traditional DSS, and expert systems and contrasts them with ANN. An illustrative application is used to demonstrate the effectiveness of ANN in supporting a diversification strategic planning.

Godwin J. Udo

1998-01-01T23:59:59.000Z

488

An artificial neural network application on nuclear charge radii  

E-Print Network (OSTI)

The artificial neural networks (ANNs) have emerged with successful applications in nuclear physics as well as in many fields of science in recent years. In this paper, by using (ANNs), we have constructed a formula for the nuclear charge radii. Statistical modeling of nuclear charge radii by using ANNs has been seen as to be successful. Also, the charge radii, binding energies and two-neutron separation energies of Sn isotopes have been calculated by implementing of the new formula in Hartree-Fock-Bogoliubov (HFB) calculations. The results of the study shows that the new formula is useful for describing nuclear charge radii.

S. Akkoyun; T. Bayram; S. O. Kara; A. Sinan

2012-12-27T23:59:59.000Z

489

On the possibility of the generation of an artificial wormhole  

E-Print Network (OSTI)

We model spacetime foam by a gas of virtual wormholes. Then applying an external field one may change the density of virtual wormholes and try to organize a wormhole-like structure in space. The relation between an additional distribution of virtual wormholes and the external field is considered for the homogeneous case. We show that the external fields suppress the density of virtual wormholes which sets an obstruction for creating an actual wormhole in a straightforward fashion. We also present a rough idea of a more complicated model for the artificial creation of a wormhole.

Savelova, E P

2014-01-01T23:59:59.000Z

490

On the possibility of the generation of an artificial wormhole  

E-Print Network (OSTI)

We model spacetime foam by a gas of virtual wormholes. Then applying an external field one may change the density of virtual wormholes and try to organize a wormhole-like structure in space. The relation between an additional distribution of virtual wormholes and the external field is considered for the homogeneous case. We show that the external fields suppress the density of virtual wormholes which sets an obstruction for creating an actual wormhole in a straightforward fashion. We also present a rough idea of a more complicated model for the artificial creation of a wormhole.

E. P. Savelova; A. A. Kirillov

2014-05-12T23:59:59.000Z

491

Nanoscale topographical replication of graphene architecture by artificial DNA nanostructures  

SciTech Connect

Despite many studies on how geometry can be used to control the electronic properties of graphene, certain limitations to fabrication of designed graphene nanostructures exist. Here, we demonstrate controlled topographical replication of graphene by artificial deoxyribonucleic acid (DNA) nanostructures. Owing to the high degree of geometrical freedom of DNA nanostructures, we controlled the nanoscale topography of graphene. The topography of graphene replicated from DNA nanostructures showed enhanced thermal stability and revealed an interesting negative temperature coefficient of sheet resistivity when underlying DNA nanostructures were denatured at high temperatures.

Moon, Y.; Seo, S.; Park, J.; Park, T.; Ahn, J. R., E-mail: jrahn@skku.edu [Department of Physics, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Shin, J.; Dugasani, S. R. [Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Woo, S. H. [College of Pharmacy, Chungnam National University, Daejeon 305-764 (Korea, Republic of); Park, S. H., E-mail: sunghapark@skku.edu [Department of Physics, Sungkyunkwan University, Suwon 440-746 (Korea, Republic of); Sungkyunkwan Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 440-746 (Korea, Republic of)

2014-06-09T23:59:59.000Z

492

Impacts of Intelligent Process Control on Product Design Alice E. Smith, Ph.D., P.E.  

E-Print Network (OSTI)

Impacts of Intelligent Process Control on Product Design Alice E. Smith, Ph.D., P.E. Department of Intelligent Process Control on Product Design 1. Overview of This Chapter This chapter focuses on how intelligent process control can help maintain the integrity of product design. There are three specific areas

Smith, Alice E.

493

Artificial neural network for the determination of Hubble Space Telescope aberration from stellar images  

Science Journals Connector (OSTI)

An artificial-neural-network method, first developed for the measurement and control of atmospheric phase distortion, using stellar images, was used to estimate the optical aberration...

Barrett, Todd K; Sandler, David G

1993-01-01T23:59:59.000Z

494

Artificial neural networks applied to the analysis of synchrotron nuclear resonant scattering data  

Science Journals Connector (OSTI)

The capabilities of artificial neural networks for the automatic and instantaneous analysis of nuclear resonant scattering spectra obtained at a synchrotron source are discussed.

Planckaert, N.

2009-12-08T23:59:59.000Z

495

Artificial neural network method for determining optical properties from double-integrating-spheres measurements  

Science Journals Connector (OSTI)

Accurate measurement of the optical properties of biological tissue is very important for optical diagnosis and therapeutics. An artificial neural network (ANN)-based inverse...

Li, Chenxi; Zhao, Huijuan; Wang, Qiuyin; Xu, Kexin

2010-01-01T23:59:59.000Z

496

An artificial neural network for the prediction of immiscible flood performance  

Science Journals Connector (OSTI)

An artificial neural network for the prediction of immiscible flood performance ... Estimating the Isothermal Compressibility Coefficient of Undersaturated Middle East Crudes Using Neural Networks ...

Ridha Gharbi; Mansour Karkoub; Ali ElKamel

1995-09-01T23:59:59.000Z

497

Generation of genuine $?$-type four-particle entangled state of superconducting artificial atoms with broken symmetry  

E-Print Network (OSTI)

We propose a scheme for generating a genuine $\\chi$-type four-particle entangled state of superconducting artificial atoms with broken symmetry by using one-dimensional transmission line resonator as a data bus. The $\\Delta$-type three-level artificial atom we use in the scheme is different from natural atom and has cyclic transitions. After suitable interaction time and simple operations, the desired entangled state can be obtained. Since artificial atomic excited states and photonic states are adiabatically eliminated, our scheme is robust against the spontaneous emissions of artificial atoms and the decays of transmission line resonator.

Chun-Ling Leng; Qi Guo; Xin Ji; Shou Zhang

2014-12-11T23:59:59.000Z

498

E-Print Network 3.0 - artificial soil microcosms Sample Search...  

NLE Websites -- All DOE Office Websites (Extended Search)

Microb Ecol Summary: of freshwater bacteria into closed microcosms (no nutrient input or removal) con- taining artificial media... and C-limited bacteria. We tested the carbon...

499

E-Print Network 3.0 - artificial somatic-central nervous Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

artificial somatic-central nervous Page: << < 1 2 3 4 5 > >> 1 Biomimetic Underwater Robot Program Joseph Ayers, PIPOC Summary: include sensors, actuators, adaptive logic...

500

E-Print Network 3.0 - artificial atlanto-odontoid joint Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

Mechanical Engineering, Michigan Technological University Collection: Engineering 6 An Ankle-Foot Orthosis Powered by Artificial Pneumatic Muscles Summary: consisted of a carbon...