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IEEE Winter Meeting Power engineering Society

作者： M. Ilic J.W. Black J.L. Watz Department of Electrical Engineering and Computer Science MIT Cambridge MA USA Engineering Systems Division in the Technology Management and Policy Program MIT Cambridge MA USA Engineering Systems Division in the Technology and Policy Program MIT Cambridge MA USA

ISBN: (纸本)0780373227

The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, this is due to the assumption that electricity demand is almost completely inelastic. As a result, deregulated wholesale markets universally fail to pass price signals down to the end-users. This paper challenges the assumption of inelastic demand by exploring the potential benefits of implementing a simple load control scheme. This load control scheme allows consumers to shift demand from high priced hours to low priced hours during the day. The benefits to the individual consumer are explored through an example applied to residential air conditioning using price and demand data from California. This example shows that "smart" use of air conditioning can lead to great savings for residential consumers, without sacrificing comfort. The potential for multiple consumers implementing load control to reduce wholesale prices is also examined.

关键词： Load flow control Aggregates Electricity supply industry Power generation Electricity supply industry deregulation Air conditioning Energy management Energy consumption Power engineering and energy systems engineering and theory

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A soft expert system for the creative exploration of first principles of crystal-laser design

A soft expert system for the creative exploration of first p...

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2002 IEEE International Conference on systems, Man and Cybernetics

作者： Rubin, Stuart H. Rush, Robert J. Smith, Michael H. Jayaram Murthy, S.N. Trajkovic, Ljiljana Spawars Systems Center 53560 Hull Street San Diego CA United States BISC Program University of California Berkeley CA United States Department of Computer Science Central Michigan University Mt. Pleasant MI United States School of Engineering Science Simon Fraser University Burnaby BC Canada

A soft expert system is defined to be one that is qualitatively fuzzy. In this paper, we present such a system known as "KASER" which stands for 'Knowledge Amplification by Structural Expert Randomization". KASER facilitates reasoning using domain specific expert and commonsense knowledge. It accomplishes this through object-classed predicates and an associated novel inference engine. It addresses the high cost associated with the knowledge acquisition bottleneck. It also enables the entry of a basis of rules and provides for the automatic extension of that basis through domain symmetries. We demonstrate an application for KASER in the design of an intelligent tutoring system that teaches the basic science of crystal-laser design. It enables the student to experiment with various design concepts and receive feedback on the functionality of the proposed design. This is possible without a need to preprogram all possible scenarios.

关键词： Knowledge engineering

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Proposed framework for applying adaptive critics in real-time realm

Proposed framework for applying adaptive critics in real-tim...

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International Joint Conference on Neural Networks (IJCNN)

作者： G.G. Lendaris R.A. Santiago M.S. Carroll Systems Science and of Electrical & Computer Engineering Northwest Computational Intelligence Laboratory Portland State University Portland OR USA Systems Science Program Northwest Computational Intelligence Laboratory Portland State University Portland OR USA

Adaptive critics have shown much promise for designing optimal nonlinear controllers in an off-line context. Still, their greatest potential exists in the context Of reconfigurable control, that is, real time controller redesign in response to (substantial) changes in plant dynamics. To accomplish this, a framework is proposed for the application of adaptive critics in real-time control (for those critic methods requiring a model of the plant). The framework is presented in the context of work being done in reconfigurable flight control by the NW Computational Intelligence Lab (NWCIL) at Portland State University. The proposal incorporates recent work (by others) in fast and efficient on-line plant identification, considerations for bounding the computational costs of converging neural networks, and a novel approach (by us) toward the task of assuring system stability during the adaptation process. The potential and limitations of the proposed framework are discussed. It is suggested that with the recent rapid reduction in computational barriers, only certain theoretical issues remain as the central barriers to successful on-line application of the methods.

关键词： programmable control Adaptive control Optimal control Neural networks Computational intelligence Control systems Stability State-space methods Design methodology Piecewise linear approximation

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Knowledge Acquisition for Adversary Course of Action Prediction Models

Knowledge Acquisition for Adversary Course of Action Predict...

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2002 AAAI Fall Symposium

作者： Brown, Scott M. Santos, Eugene Bell, Benjamin Electronic Systems Center Information Operations Program Office 240 Hall Blvd Suite 105 San AntonioTX78243-7058 United States University of Connecticut Dept of Computer Science & Engineering UTEB 191 Auditorium Rd. U-155 StorrsCT06269-3155 United States CHI Systems Inc. 1035 Virginia Drive Suite 300 Ft. WashingtonPA19034-3107 United States

Intelligence Preparation of the Battlespace (IPB) is a predominantly "gray matter-based" fusion and information synthesis process conducted to predict possible future adversary courses of action. The purpose is to understand where the enemy is in the battlespace, and to infer what we believe he will do next. From that understanding, military commanders plan their own course of action. As the state of the art improves, we are in a position to begin applying technologies to move the labor-intensive parts of IPB to the computer, allowing the planner to perform those tasks that are more suited to human capabilities. This is a primary focus of our research effort. This paper presents the approaches that we are adopting to acquire the knowledge necessary to build models to assist decision makers determine adversary intent. We discuss how the IPB process can assist with knowledge acquisition and we present a detailed discussion of our AII system and the techniques we have developed to collect and process the data necessary to map observations of the adversary into evidence to support reasoning about the adversary’s intent. Copyright © 2002, AAAI (***). All rights reserved.

关键词： Knowledge acquisition

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An efficient heuristic for routing and wavelength assignment in optical WDM networks

An efficient heuristic for routing and wavelength assignment...

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IEEE International Conference on Communications (ICC)

作者： Yongbing Zhang K. Taira H. Takagi S.K. Das Institute of Policy and Planning Sciences University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Department of Computer Science and Engineering University of Texas Arlington TX USA

ISBN: (纸本)0780374002

We propose an efficient heuristic algorithm that sets up and releases lightpaths for connection requests dynamically. We partition the routing and wavelength assignment (commonly known as RWA) problem into two subproblems and solves both of them using a well-known shortest path routing algorithm. For solving the routing subproblem, an auxiliary graph is created whereby the nodes and links in the original network are transformed to the edges and vertices, respectively, and the availability of each wavelength on the input and output links of a node as well as the number of available wavelength converters are taken into account in determining the weights of edges. Furthermore, for solving the wavelength assignment subproblem, an auxiliary graph is also utilized and the cost for wavelength conversion is taken into consideration in the edge weight function. A distinguished feature of our algorithm is that it employs more accurate network information on the availability of both the wavelengths and the wavelength converters than the existing algorithms in deciding the routing and the wavelength assignment. Simulation results show that our algorithm performs much better than previously proposed algorithms with comparable computation time, especially when the number of wavelengths is large while the number of converters at each node is limited.

关键词： Wavelength routing Wavelength assignment Optical fiber networks WDM networks Optical wavelength conversion Partitioning algorithms Heuristic algorithms Cost function Availability Computational modeling

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Workshop on software quality

Workshop on software quality

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International Conference on Software engineering (ICSE)

作者： M.M. de Oliveira A.R. Rocha K. Chaves Weber Computer Science Department Catholic University of Brasilia Brazil Graduate School of Engineering-COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Quality and Productivity Software Program/ Software Sub-committee Society for the Promotion of Excellence in Brazilian Software SOFTEX Brazil

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A soft expert system for the creative exploration of first principles of crystal-laser design

A soft expert system for the creative exploration of first p...

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IEEE International Conference on systems, Man and Cybernetics

作者： S.H. Rubin R.J. Rush M.H. Smith S.N. Jayaram Murthy L. Trajkovic SPAWAR Systems Center San Diego CA USA BISC Program University of California Berkeley CA USA Department of Computer Science Central Michigan University Mount Pleasant MI USA School of Engineering Science Simon Fraser University Burnaby BC Canada

A soft expert system is defined to be one that is qualitatively fuzzy. We present such a system known as KASER which stands for Knowledge Amplification by Structural Expert Randomization. KASER facilitates reasoning using domain specific expert and commonsense knowledge. It accomplishes this through object-classed predicates and an associated novel inference engine. It addresses the high cost associated with the knowledge acquisition bottleneck. It also enables the entry of a basis of rules and provides for the automatic extension of that basis through domain symmetries. We demonstrate an application for KASER in the design of an intelligent tutoring system that teaches the basic science of crystal-laser design. It enables the student to experiment with various design concepts and receive feedback on the functionality of the proposed design. This is possible without a need to preprogram all possible scenarios.

关键词： Expert systems Knowledge acquisition Intelligent systems USA Councils Engines Costs Production systems computer errors Hybrid intelligent systems Fuzzy systems

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AUTO WIS ARD: Unsupervised modes for the WISARD

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6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001

作者： Wickert, Iuri Fraņca, Felipe M. G. Computer Systems Engineering Program - COPPE UFRJ Caixa Postal 68511 21945-970 Rio de Janeiro RJ Brazil

ISBN: (纸本)3540422358

This work in traducest wo new unsupervised learning algorithms based on the WISARD weightless neural classifier model. The first one, the standard AUTOWISARD model, is able to perform fast one-shot, learning of unsorted sets of input patterns. The second oik? is a recursive version of AUTOWISARD which not only keeps the good features of the basic model, agility, plasticit v and stability', but also produces hierarc hically structured tree-lik? classifications. Although the standard A UT(WISARD model exhibits good classification skills when exposed to symbolic patterns (by producing only few classes containing patterns of different meanings), its recursive version produces even less confusing classes. The stability of both learning algorithms is also demonstrated. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Learning algorithms

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Efficient categorization of memory sharing patterns in software DSM systems 15

Efficient categorization of memory sharing patterns in softw...

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15th International Parallel and Distributed Processing Symposium, IPDPS 2001

作者： De Castro, M.C.S. De Amorim, C.L. Computer Science Department Federal University of Juiz de Fora Minas Gerais Brazil COPPE - Systems Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)0769509908

This work introduces a new technique that enables SDSMs to categorize dynamically and accurately memory sharing patterns in both classes of regular and irregular applications. The categorization is carried out automatically at run-time on a per-page basis, requiring no user or compiler assistance. We evaluate the potential benefits of our technique using execution-driven simulations of 8 applications running on TrendMarks on a network of 8 workstations. Surprisingly, we found that producer-consumer(s) and migratory are the dominant patterns even in irregular applications. Preliminary results suggest that the categorization technique we propose is a promising option to further improve the performance of current adaptive SDSM systems. © 2001 IEEE.

关键词： adaptive software DSM systems latency-hiding techniques memory sharing patterns

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From standard to non-standard semantics by semantics modifiers

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International Journal of Foundations of computer science 2001年第2期12卷 171-211页

作者： Abramov, Sergei Glück, Robert Program Systems Institute Russian Academy of Sciences RU-152140 Pereslavl-Zalessky Russian Federation Department of Information and Computer Science School of Science and Engineering Waseda University Shinjuku-ku Tokyo 169-8555 Japan

An approach for systematically modifying the semantics of programming languages by semantics modifiers is described. Semantics modifiers are a class of programs that allow the development of general and reusable semantics components. Language independence is achieved through the interpretive approach: an interpreter serves as a mediator between the new language and the language for which the non-standard semantics was implemented. Inverse computation, equivalence transformation and neighborhood analysis are shown to be semantics modifiers. Experiments with these modifiers show the computational feasibility of this approach. Seven modifier projections are given which allow the efficient implementation of non-standard interpreters and non-standard compilers by program specialization or other powerful program transformation methods. © 2001 World Scientific Publishing Company.

关键词： interpreters non-standard semantics partial evaluation program transformation programming languages supercompilation

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