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IEEE International Conference on computer Design: VLSI in computers and Processors, (ICCD)

作者： K. Miyase S. Kajihara I. Pomeranz S.M. Reddy Graduate School of Computer Science and Systems Engineering Kyusyu Institute of Technology Center for Microelectronics Systems Kyushu Institute of Technology Japan School of Electrical and Computer Engineering Purdue University USA Electrical and Computer Engineering Department University of Iowa USA

Given a test set for stuck-at faults, a primary input value may be changed to the opposite logic value without losing fault coverage. One can regard such a value as a don't-care (X). The don't care values can be filled appropriately to achieve test compaction, test data compression, or power reduction during testing. However, these uses are better served if the don't cares can be placed in desired/specific bit positions of the test patterns. In this paper, we present a method for maximally fixing Xs on specific bits of given test vectors. Experimental results on ISCAS benchmark circuits show how the proposed method can increase the number of Xs on specific bits compared with an earlier proposed method.

关键词： Circuit testing Logic testing Circuit faults Benchmark testing Power dissipation Compaction Test data compression Circuit simulation Automatic test pattern generation computer science

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Convergence properties of the membership set in the presence of disturbance and parameter uncertainty

Convergence properties of the membership set in the presence...

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SICE Annual Conference

作者： W. Kitamura Y. Fujisaki Graduate School of Science and Technology Kobe University Kobe Japan Department of Computer and Systems Engineering Kobe University Kobe Japan

The size of the membership set is investigated in the presence of bounded disturbance and l/sub 2/ bounded parameter uncertainty. A tight upper bound of the diameter of the membership set is derived, which indicates that the diameter does not converge to zero in general. Another upper bound of the diameter is also derived in a stochastic setting, where the disturbance and the parameter uncertainty are assumed to take a value near the worst ones with nonzero probability. The bound clarifies that the diameter converges to zero with probability one as the number of samples tends to infinity.

关键词： Convergence Uncertain systems Upper bound Stochastic processes H infinity control Robustness Marine vehicles Additives Uncertainty Discrete time systems

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An application of branch-and-bound method to deterministic optimization model of elevator operation problems

An application of branch-and-bound method to deterministic o...

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SICE Annual Conference

作者： T. Inamoto H. Tamaki H. Murao S. Kitamura Graduate School of Science and Technology Kobe University Kobe Japan Department of Computer and Systems Engineering Kobe University Kobe Japan

In this paper, we propose a framework for obtaining the optimal solution of an elevator operation problem by applying branch-and-bound method, where it is assumed that all information about the passengers are given. The problem is solved by determining the assignments of passengers to elevators and the processing order of passengers for each elevator. The validity of an existing rule to decide a car service is examined by comparing the results with the optimal one.

关键词： Optimization methods Elevators Mathematical model Application software systems engineering and theory Control systems Floors

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Toward a real-time scheduling for a class of flexible shop problems

Toward a real-time scheduling for a class of flexible shop p...

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SICE Annual Conference

作者： K. Sakakibara H. Tamaki H. Murao S. Kitamura Graduate School of Science and Technology Kobe University Kobe Japan Department of Computer and Systems Engineering Kobe University Kobe Japan

In this paper, we deal with an extended class of flexible shop scheduling problems, and consider a solution under the conditions in which all information with respect to the jobs cannot be given beforehand, i.e., real-time scheduling. To realize a solution, we adopt such a method in which jobs are to be dispatched by a set of rules, and propose an approach in which the set of rules (rule-set) is generated and improved by using a GBML framework. Through some computational experiments, the effectiveness and potential of the proposed approach are examined.

关键词： Job shop scheduling Processor scheduling Machine learning Manufacturing systems Production systems engineering and theory Real time systems Dispatching Parallel machines Mathematical model

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Potential benefits of implementing load control

Potential benefits of implementing load control

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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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A cellular-automaton-type image extraction algorithm and its implementation using an FPGA

A cellular-automaton-type image extraction algorithm and its...

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IEEE Asia-Pacific Conference on Circuits and systems

作者： T. Nakano T. Morie M. Nagata A. Iwata Nakano and Iwatas Department Graduate School of Advanced Sciences of Matter Hiroshima University Hiroshima Japan Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology Wakamatsu Japan Computer and Systems Engineering Kobe University Kobe Japan

This paper proposes a new region extraction algorithm based on cellular automaton operation, which utilizes only the region boundary information of the image. A simple pixel circuit for pixel-parallel operation is also proposed. Logic simulation results obtained using Verilog-HDL indicate that the proposed algorithm is about 100 times faster than the serial labeling processing for 100/spl times/100-pixel images. An experimental result for a 30/spl times/30-pixel image using an FPGA chip demonstrates that all regions are successfully extracted one-by-one within 6 /spl mu/s with a clock frequency of 25 MHz.

关键词： Field programmable gate arrays Data mining Image segmentation systems engineering and theory Image recognition Target recognition Pixel Digital circuits Automata Logic

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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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Design of an effective learning method SQ3R based distance learning system

Design of an effective learning method SQ3R based distance l...

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International Conference on Cyberworlds

作者： Guozhen Zhang Zixue Cheng Tongjun Huang Aiguo He A. Koyama Graduate School of Computer Science and Engineering University of Aizu Japan School of Computer Science and Engineering University of Aizu Japan Information Systems and Technology Center Organization University of Aizu Japan Core and Information Technology Center University of Aizu Japan School of Engineering Yamagata University Japan

With the advantage of the scientific and the objective, many educational psychology-based learning methods, such as SQ3R learning method, meaningful reception learning method, SQ4R method, etc. are widely used in school education and individual study. At the same time, recently the WWW based education systems have flourished. But there are still few learning methods standing up for the WWW based learning, so the learning quality and efficiency cannot be ensured. We pose a method to design and implement educational psychology-based learning-support tools for individual learning in Web-based distance learning systems. This method is based on an effective study method SQ3R, which is a very popular learning method in school education in America and Europe. However the effective study method SQ3R cannot be directly applied into the Web-based distance learning system, so we design a method and a group of tools to support the learners using SQ3R in the Web-based distance learning system. Supported by this learning method, learners' learning effectiveness can be greatly improved.

关键词： Learning systems computer aided instruction Psychology Educational institutions World Wide Web Design methodology Electronic learning computer science computer networks Helium

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Sigma-Pi Cascade Extended Hybrid Neural Network

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Journal of Advanced Computational Intelligence and Intelligent Informatics 2002年第3期6卷 126-134页

作者： Iyoda, Eduardo Masato Hirota, Kaoru Zuben, Fernando J. Von Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology 4259 Nagatsuta Midori-ku Yokohama226-8502 Japan Department of Computer Engineering and Industrial Automation School of Electrical and Computer Engineering State University of Campinas P.O. Box 6101 Campinas-SP13083-970 Brazil

A nonparametric neural architecture called the Sigma-Pi Cascade extended Hybrid Neural Network σπ-(CHNN) is proposed to extend approximation capabilities in neural architectures such as Projection Pursuit Learning (PPL) and Hybrid Neural Networks (HNN). Like PPL and HNN, σπ-CHNN also uses distinct activation functions in its neurons but, unlike these previous neural architectures, it may consider multiplicative operators in its hidden neurons, enabling it to extract higher-order information from given data. σπ-CHNN uses arbitrary connectivity patterns among neurons. An evolutionary learning algorithm combined with a conjugate gradient algorithm is proposed to automatically design the topology and weights of σπ-CHNN. σπ-CHNN performance is evaluated in five benchmark regression problems. Results show that σπ-CHNN provides competitive performance compared to PPL and HNN in most problems, either in computational requirements to implement the proposed neural architecture or in approximation accuracy. In some problems, σπ-CHNN reduces the approximation error on the order of 10-1 compared to PPL and HNN, whereas in other cases it achieves the same approximation error as these neural architectures but uses a smaller number of hidden neurons (usually 1 hidden neuron less than PPL and HNN). © 2002 Fuji Technology Press. All rights reserved.

关键词： Genetic algorithms

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