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Asia and South Pacific Design Automation Conference

作者： P. Tzionas P. Tsalides A. Thanailakis Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering School of Engineering Democritus University of Thrace Xanthi Greece

This paper presents a new parallel algorithm for collision-free path planning of a diamond-shaped robot among arbitrarily-shaped obstacles and its implementation in VLSI. The proposed algorithm is based on the computational geometry concept known as the "Voronoi diagram", which is constructed through the time evolution of Cellular Automata, after an initial phase during which the boundaries of obstacles are identified and coded with respect to their orientation.

关键词： Robotics and automation Path planning information systems Computational geometry Motion planning Very large scale integration Shape Parallel algorithms Parallel robots Land vehicles

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Special section: Navigation in information-Intensive Environments

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Journal of Management information systems 1995年第4期11卷 5-8页

作者： Tomás Isakowitz Michael Bieber Assistant Professor of Information Systems Stern School of Business New York University Assistant Professor of Information Systems Computer and Information Science Department New Jersey Institute of Technology Director Hypermedia Information Systems Research Lab New Jersey Institute of Technology JOVE Faculty Fellow Automation Technology Section Goddard Space Flight Center NASA

The article discusses various reports published within the issue, including one by James B. Baty, II and Ronald M. Lee on electronic commerce and another by Minder Chen on executive information systems.

关键词： information storage and retrieval systems Vendors Multimedia materials Shopping information access Internet information resources Architectural models Design information retrieval

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General mapping of feed-forward neural networks onto an MIMD computer

General mapping of feed-forward neural networks onto an MIMD...

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International Conference on Neural Networks

作者： J. Torresen H. Nakashima S. Tomita O. Landsverk Department of Computer Systems and Telematics Norwegian Institute of Technology Trondheim Norway Department of Information Science Faculty of Engineering Kyoto University Kyoto Japan

This paper describes a scheme for mapping the backpropagation algorithm onto an MIMD computer with 2D-torus network. We propose a new strategy that allows arbitrary assignment of processors to the multiple degrees of backpropagation parallelism (training set parallelism, pipelining and node parallelism). Thus, the method allows a flexible mapping that fits well to various neural network applications. Moreover, we consider the effect of the weight update interval on the number of iterations required for convergence. The results from implementations on a Fujitsu AP1000 show that it may be beneficial to make a mapping involving contention in the communication network. Further, even though the convergence in number of iterations is slower for parallel implementations, compared to a serial program, parallel processing can be a means of achieving considerable speed-up.

关键词： Feedforward systems Neural networks Feedforward neural networks Parallel processing Convergence Backpropagation algorithms computer networks Pipeline processing Application software Communication networks

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Input variable selection for neural networks: application to predicting the U.S. business cycle

Input variable selection for neural networks: application to...

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Proceedings of the IEEE/IAFE Computational Intelligence for Financial engineering (CIFEr)

作者： J. Utans J. Moody S. Rehfuss H. Siegelmann Department of Computer Science and Engineering Oregon Graduate Institute Portland OR USA Department of Information Systems Engineering Faculty of Industrial Engineering Technion-Israel Institute of Technology Haifa Israel

Selecting a "best subset" of input variables is a critical issue in forecasting. This is especially true when the number of available input series is large, and an exhaustive search through all combinations of variables is computationally infeasible. Inclusion of irrelevant variables not only doesn't help prediction, but can reduce forecasting accuracy through added noise or systematic bias. We demonstrate a technique called "sensitivity-based pruning" (SBP) that removes irrelevant input variables from a nonlinear forecasting or regression model. The technique makes use of a saliency measure computed for each input variable and uses estimates of prediction risk for determining the number of input variables to prune. We present preliminary results of the SBP technique applied to neural network predictors of a key business cycle measure, the US Index of Industrial Production.

关键词： Input variables Neural networks Economic indicators Economic forecasting Macroeconomics Predictive models Production Industrial economics Application software Time series analysis

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FAULT-TOLERANT ASSOCIATE MEMORIES

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systems AND computerS IN JAPAN 1995年第7期26卷 1-12页

作者： FUJIWARA, E TANAKA, T Member Faculty of Engineering Tokyo Institute of Technology Tokyo Japan 152 Eui Fujiwara:received his B.S. and M.S. degrees in Electronics Engineering in 1968 and 1970 respectively and his Dr. of Eng. degree in 1981 all from Tokyo Institute of Technology. In 1970 he joined the NTT Musashino Electrical Communication Laboratories and engaged in developing PIPS-1 and PIPS-11 computer systems. In 1988 he joined the Department of Computer Science Tokyo Institute of Technology as an Associate Professor. In 1990 he became a full Professor. He was a Visiting Professor at the Center for Advanced Computer Studies the University of Southwestern Louisiana from June 1985 to July 1986. His current research interests include coding theory for computers fault-tolerant memories VLSI defect-toleranceand WSI systems. He is a co-author ofError Control Coding for Computer Systems(Prentice-Hall1989) EssentiaLF of Error-Correcting Coding Techniques (Academic Press 1990) and other books. Dr. Fujiwara received the Young Engineer Award from the I.E.I.C.E. in 1978 and the Teshima Memorial Research Award in 1991. He is a senior member of the IEEE and a member of the Information Processing Society Japan. Associate Member

Because of its capability of high-speed search, the associative memory (CAM) is expected to be used in a variety of information processing systems. In this paper, novel fault-tolerant techniques which are effective for on-line use are proposed for TLB which is an example of the application of CAM. First, fault and error models of the TLB consisting of the CAM part and the SRAM part are clarified. Then, the fault-tolerant techniques for these faults and errors, such as distance separable technique, cod-ing technique, simplified 1-out-of-n check and graceful degradation, are proposed. The distance separable technique which encodes the data stored in the CAM part is the one which masks the faulty CAM part and prevents errors from propagating to the subsequent circuits. The coding technique checks the one-to-one correspondence between the data in the CAM and those in SRAM by using the SEC-DED code with byte error detection capability, i.e., SEC-DED-SbED code, and at the same time it detects and corrects errors in the data stored in SRAM. The simplified 1-out-of-n check processes association errors. The graceful degradation gives a flag in the faulty memory section and prevents it from being used. The methods proposed in this paper are evaluated from area augmentation and error detection capability perspectives. The results show that the fault-tolerant TLB with 32 virtual address bits, 32 physical address bits and 128 entries gives single fault detection probability of nearly 99 percent with 28 percent area increase.

关键词： CAM TLB DISTANCE SEPARABLE TECHNIQUE CODING TECHNIQUE SIMPLIFIED 1-OUT-OF-N CHECK GRACEFUL DEGRADATION

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KNOWLEDGE-BASED SIMULATION OF REGULATORY ACTION IN LAMBDA PHAGE

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International Journal on Artificial Intelligence Tools 1995年第4期4卷 511-523页

作者： TOMOAKI SHIMADA MASAMI HAGIYA MASANORI ARITA SHIN-YA NISHIZAKI CHEW LIM TAN Department of Information Science Graduate School of Science University of Tokyo 7–3–1 Hongo Bunkyo-ku Tokyo 113 Japan Department of Information Technology Faculty of Engineering Okayama University 3–1–1 Tsushima-Naka Okayama 700 Japan Department of Information Systems and Computer Science National University of Singapore Kent Ridge Singapore

We have developed a knowledge-based but partially analytic simulation system. This system simulates regulatory action in lambda phage, a virus which infects E. coli. Specifically, we simulated the decision between its two developmental pathways, lytic and lysogenic growth. Our model is composed of two levels: roughly abstracted level and precisely abstracted level. The former level is discrete-event and knowledge-based. It covers overall regulations inside lambda phage in qualitative representation. On the other hand, the latter is based on quantitative chemical equations describing the sensitive bifurcation within pathways. In this way, qualitatively clear overview of regulatory action is efficiently simulated using knowledge base, and only the unpredictable part is analytically simulated in detail. This system can output not only input knowledge but also precise prediction by computational analysis, data which help molecular biologists find new theories of regulatory actions.

关键词： knowledge base simulation Lambda phage regulation chemical equation

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Undersea technologies in the former Soviet Union

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NAVAL ENGINEERS JOURNAL 1995年第6期107卷 85-92页

作者： DeHaemer, DJ Dr. Michael J. DeHaemer:is Director of the World Technology Evaluation Center and the Japanese Technology Evaluation Center at Loyola College in Baltimore. He has directed more than a dozen studies of technologies in foreign countries under the sponsorship of the National Science Foundation ARPA Departments of Energy and Commerce and other agencies. He has a continuing interest in assessing foreign technologies in comparison to the United States.—-On the faculty of the Sellinger School of Business at Loyola College Dr. DeHaemer is a former department chairman and an associate professor of information systems and decision sciences. He teaches the strategic use of information technology and human-computer interface design. His research includes user performance with automated speech recognition systems for computers and business applications of artificial intelligence. Dr. DeHaemer completed an earlier career as a submarine officer including command of a ballistic missile submarine. He holds a B.S. degree from the University of Notre Dame and a Master's degree in Operations Analysis from the Naval Postgraduate School. He has an M.B.A. an M.S. in Industrial Engineering and a Ph.D. in Management Information Systems from Rensselaer Polytechnic Institute.

A team of experts, assembled by the World technology Evaluation Center, visited twenty-five locations in Russia and Ukraine to observe the state of undersea technologies. Academic sites, basic research institutes, industrial development laboratories, and oceanographic operating bases were visited. The report highlights specific technologies that support research submersibles;and critiques the strengths and weaknesses of the ocean technologies establishment. Russia and Ukraine were found to have a number of strengths, especially in test facilities, a large fleet of surface and submersible research vessels, and highly educated and qualified engineers and scientists. Although political and economic conditions need to be over-come, there is motivation for many cooperative commercial or research ventures with both government institutes and new private companies in Russia and Ukraine.

关键词： Ocean engineering

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BONSAI Garden: Parallel Knowledge Discovery System for Amino Acid Sequences

BONSAI Garden: Parallel Knowledge Discovery System for Amino...

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3rd International Conference on Intelligent systems for Molecular Biology, ISMB 1995

作者： Shoudai, T. Lappe, M. Miyano, S. Shinohara, A. Okazaki, T. Arikawa, S. Uchida, T. Shimozono, S. Shinohara, T. Kuhara, S. Department of Physics Kyushu University 01 Ropponmatsu Fukuoka810 Japan FB Mathematik-Informatik Universität-GH-Paderborn PaderbornD-33095 Germany Rsearch Institute of Fundamental Informaetion Science Kyushu University 33 Fukuoka812 Japan Department of Information Science Hiroshima City University Hiroshima731-31 Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka820 Japan Graduate School of Genetic Resources Technology Kyushu University Fuknoka812-81 Japan

ISBN: (纸本)0929280830

We have developed a machine discovery system BONSAI which receives positive and negative examples as inputs and produces as a hypothesis a pair of a decision tree over regular patterns and an alphabet indexing. This system has succeeded in discovering reasonable knowledge on transmembrane domain sequences and signal peptide sequences by computer experiments. However, when several kinds of sequences are mixed in the data, it does not seem reasonable for a single BONSAI system to find a hypothesis of a reasonably small size with high accuracy. For this purpose, we have designed a system BONSAI Garden, in which several BONSAI's and a program called Gardener run over a network in parallel, to partition the data into some number of classes together with hypotheses explaining these classes accurately. © 1995, AAAI (***). All rights reserved.

关键词： Decision trees

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Development and application of MCAL tools for marine radar instruction

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computer Applications in engineering Education 1995年第4期3卷 259-259页

作者： Guirguis, S. Korany, E. Abdel-Bary, A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt Shawkat K. Guirguis:obtained the BSc and M.Sc. degrees in Computer Science and Automatic Control Faculty of Engineering Alexandria University in 1981 and 1984 respectively. In 1988 he obtained a PhD degree in Electronics and Communications Faculty of Engineering Cairo University co-supervised by the Imperial College of Science and Technology University of London where he spent two years as an academic visitor. His current research interests include software quality management multimedia automatic programming and decision support systems. He is currently a lecturer of Computer Science at the Institute of Graduate Studies & Research Alexandria University. Ezzat A. Korany:received the BS degree in Electrical Engineering (Electronics Section) from the University of Alexandria Egypt in 1971 the MS degree in Electrical Engineering (Computer Section) from Ain Shams University Cairo Egypt in 1977 and the PhD degree in Electrical Engineering (Digital Systems) from Florida Institute of Technology U.S.A. in 1982. He is currently an associate professor of Computer Science at the Institute of Graduate Studies & Research University of Alexandria. His research interests are in data communications and multimedia applications computer networks image processing and pattern recognition. Abdel-Latif A. Abdel-Bary:obtained the BEng degree in Electronics Technology from Arab Maritime Transport Academy in 1986. In 1995 he obtained the MSc degree in Information Technology from the Institute of Graduate Studies & Research Alexandria University. His current research interests include ICAL hypermedia and automatic programming.

In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.

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Improvement of convergence speed for subband adaptive digital filter using the multirate repeating method

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1995年第10期78卷 37-45页

作者： Kiya, H Nishikawa, K Ashihara, K Faculty of Technology Tokyo Metropolitan University Hachioji Japan 192-03 Members Kiyoshi Nshikawa graduated in 1990 from the Department of Electrical Engineering Tokyo Metropolitan University where he completed the Master's Program in 1992 and affiliated with Nippon Steel Co. Computer Systems Laboratory. He was a Research Associate in 1993 in the Department of Elect. Inf. Eng. Tokyo Metropolitan University engaged in research onadaptive signal processing and information source coding. He is a member of the IEEE. Associate Member

The subband adaptive system, where the idea of the filter bank is applied to the adaptive filter, has a feature that a higher-order adaptation can be reduced to lower-order adaptations. The reduction of the order of the adaptive filter is related closely to the number of channels and the decimation ratio. The order of adaptive digital filter (ADF) is decreased greatly when the number of subbands is increased, and the decimation ratio is increased up to the maximum value. Then, however, the number of coefficient-updates per unit time is decreased, which results in the deterioration of the convergence Speed. From such a viewpoint, this paper discusses a method to improve the convergence speed, which is deteriorated in the subband adaptive system, due to the decimation. The idea of the proposed method is to utilize effectively the data which have been discarded in the decimation process and to improve the convergence speed. It is called the multirate repeating method. As the first step, the multirate repeating method is applied to the conventional subband adaptive system and the convergence speed is improved. Then a subband adaptive system is introduced in which the multirate repeating method can be utilized more effectively. As a result, a faster convergence is realized while retaining the ADF order-reduction effect, which is an advantage of the subband adaptive system.

关键词： adaptive signal processing subband adaptive system multirate repeating method rational decimation

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