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Proceedings of the 11th International Conference on Neural Information Processing systems

作者： Zehra Cataltepe Malik Magdon-Ismail Learning Systems Group Department of Computer Science California Institute of Technology Pasadena CA Learning Systems Group Department of Electrical Engineering California Institute of Technology Pasadena CA

In many applications, such as credit default prediction and medical image recognition, test inputs are available in addition to the labeled training examples. We propose a method to incorporate the test inputs into learning. Our method results in solutions having smaller test errors than that of simple training solution, especially for noisy problems or small training sets.

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Scalable hardware earliest-deadline-first scheduler for ATM switching networks

Scalable hardware earliest-deadline-first scheduler for ATM ...

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real-time systems Symposium (RTSS)

作者： Byung Kook Kim K.G. Shin Department of Electrical Engineering Korea Advanced Institute of Science and Technology Taejon South Korea Real Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

A fast, scalable hardware earliest deadline first (EDF) link scheduler for ATM switching network is developed. This EDF scheduler is a fast hardware solution suitable for real time scheduler on nodes in ATM switching networks up to 2.5 Gbps switching speed (scheduling within 0.17 /spl mu/s), capable of performing simultaneous input and output operations within two clock cycles (mostly in one clock cycle). The designed hardware is efficient since the architecture employs the minimum size EDF priority queue, combined with variable size FIFO queues for channels implemented with a two port memory buffer. Early traffic can be simply checked and delayed. Also, it is scalable with respect to the number of channels C and the total number of buffers N. Moreover, deadline folding technique eliminates the need to extend the deadline resolution. Simulation studies and layout design demonstrate the efficiency and utility of the proposed architecture.

关键词： Hardware Asynchronous transfer mode Communication switching Delay Traffic control Switches Bandwidth Processor scheduling Clocks Telecommunication traffic

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Exact and efficient analysis of schedulability in fixed-packet networks: a generic approach

Exact and efficient analysis of schedulability in fixed-pack...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： S. Gorinsky S. Baruah T.J. Marlowe A.D. Stoyenko Real Time Computing Laboratory Department of Computer and Information Science New Jersey Institute of Technology Newark NJ USA Department of Computer Science and Electrical Engineering University of Vermont Burlington VT USA Department of Mathematics and Computer Science Seton Hall University South Orange NJ USA Real Time Computing Laboratory Department of Computer and Information Science New Jersey Institute of Technology Newark NJ USA

A general model for traffic flows on packet-switched, virtual-circuit based, fixed-packet networks is introduced, and an exact schedulability test is obtained for systems of such flows. Rules are derived that make the evaluation of this schedulability test feasible and efficient under certain circumstances. The practical relevance of this approach is demonstrated by applying it to a number of standard traffic models.

关键词： Intelligent networks Processor scheduling Telecommunication traffic Traffic control computer networks Delay Laboratories Information science computer science real time systems

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RE-WORKING OF 2 STANDARD MOMENT-METHOD CODES FOR EXECUTION ON PARALLEL PROCESSORS

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第3-4期8卷 243-248页

作者： EXCELL, PS PORTER, GJ TANG, YK YIP, KW Department of Electronic and Electrical Engineering University of Bradford UK Peter S. Excell is a Reader in Applied Electromagnetics at the University of Bradford where he has been a member of the academic staff since 1979. He obtained the B.Sc. degree in engineering science from the University of Reading in 1970 and the Ph.D. degree in electrical and electronic engineering from the University of Bradford in 1980. He is Fellow of the Institution of Electrical Engineers a Senior Member of the Institute of Electronic and Electrical Engineers and a founder member of the Applied Computational Electromagnetics Society. Gary J. Porter has been a Lecturer in Electronic and Electrical Engineering at the Univeristy of Bradford since 1989. He obtained the B.Eng. degree in electrical and electronic engineering in 1986 and the M.Eng. in 1987 both from the University of Bradford. He is currently completing a Ph.D. thesis on the application of parallel processing to real-time image generation. Yuet K. Tang was a postgraduate student at the University of Bradford receiving the M.Sc. degree in communications and real-time electronic systems in 1991. He now works in Hong Kong. Kun W. Yip was an undergraduate student at the University of Bradford receiving the B.Eng. degree in electrical and electronic engineering in 1992. He is now a Ph.D. student at Hong Kong University.

Two separate exercises on a similar theme are reported. In the first, the moment-method program NEC was extensively modified in order to optimize its performance on a four-processor Gray X-MP computer. In the second exercise, the MININEC moment-method program was completely rewritten into the occam programming language so that it could be executed directly by a transputer system. The NEC exercise exploited judicious use of vectorization and alternative parallelization techniques and achieved a reduction of run times by factors of about five or more. The MININEC exercise has so far achieved only a modest reduction in run-time but it has the potential for a much greater improvement if an optimum strategy for configuring the transputer network is implemented.

关键词： Parallel processing systems

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PARALLEL AND DISTRIBUTED TLM COMPUTATION WITH SIGNAL-PROCESSING FOR ELECTROMAGNETIC-FIELD MODELING

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INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS 1995年第3-4期8卷 169-185页

作者： SO, PPM ESWARAPPA, C HOEFER, WJR NSERC/MPR Teltech Research Chair in RF Engineering Department of Electrical and Computer Engineering University of Victoria Victoria British Columbia V8W 3P6 Canada Poman So received his B.Sc. degree in computer science and physics from the University of Toronto Toronto Onatario Canada in 1985. He obtained his B.A. Sc. and M.A.Sc. degrees in electrical engineering (summa cum laude) from the University of Ottawa Ottawa Ontario Canada in 1987 and 1989 respectively. Mr So was a research engineer in the University of Ottawa from January 1989 to October 1991 his research interests included CAD techniques of microwave circuits and numerical methods for electromagnetic wave modelling. He specialized in the development of electromagnetic engineering CAD software and successfully implemented a number of electromagnetic wave simulators based on the two-dimensional and three-dimensional transmission-line matrix methods. From August 1990 to February 1991 he accompanied Professor W. J. R. Hoefer to Rome Italy and Sophia Antiopolas France. During that time he implemented a parallel version of the 3D-TLM simulator for the CM-2 Connection Machine using C-Star and X Windows Library. He is a research engineer and a Ph.D. student at the University of Victoria Victoria British Columbia Canada. He ported the 2D- and 3D-TLM simulators to DECmpp 1200 massively parallel computer using MPL C and C++. He also combined OSA90/hope a commercially available microwave CAD program with a 2D-TLM simulation module for geometry optimization using the Datapipe technique of OSA90/hope. Recently he has developed a distributed client-server computing technique for the TLM method this technique could accelerate the TLM simulation by more than an order of magnitude. Channabasappa Eswarappa received the M.Tech. degree in electrical engineering from the Indian Institute of Technology Kanpur India in 1983 and Ph. D. degree from the University of Ottawa Canada in 1990. He worked as an Assistant Executive Engineer and later as

This paper describes the implementation of transmission-line matrix (TLM) method algorithms on a massively parallel computer (DECmpp 12000), the technique of distributed computing in the UNIX environment, and the combination of TLM analysis with Prony's method as well as with autoregressive moving average (ARMA) digital signal processing for electromagnetic field modelling. By combining these advanced computation techniques, typical electromagnetic field modelling of microwave structures by TLM analysis can be accelerated by a few orders of magnitude.

关键词： Mathematical models

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Meeting the strict real-time requirements of distributed continuous multimedia applications

Meeting the strict real-time requirements of distributed con...

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IEEE International Conference on systems, Man and Cybernetics

作者： W.A. Halang P.A. Laplante A.D. Stoyenko Faculty of Electrical Engineering FernUniversität Hagen Hagen Germany Department of Mathematics and Computer Science Fairleigh Dickinson University Madison NJ USA Real Time Computing Laboratory Department of Computer and Information Sciences New Jersey Institute of Technology Newark NJ USA

In this paper we discuss synchronization techniques-and specifically their implementation at the hardware, operating system and high-level language levels-that can be used to achieve deadline satisfaction. In particular, it is shown that by endowing process control computers with fully parallel input and output mechanisms making use of exact time specifications, synchronization and deadline satisfaction can be achieved at the same time without any jitter. Continuous multimedia applications require accurate synchronization of the clocks in different processors. The available solutions have considerable accuracy or applicability. Local clock synchronization by radio transmitted time information turns out to be the only general purpose and high accuracy technique that is applicable with reasonable effort.< >

关键词： Application software Synchronization Multimedia computing Virtual reality Colored noise Hardware Operating systems TV Clocks Multimedia systems

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THE NAVAL SHIP RESEARCH AND DEVELOPMENT CENTER ADVANCED STRUCTURE FACILITYxs

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Naval Engineers Journal 1973年第1期85卷 43-49页

作者： BECKER, LOUIS A. SIEGRIST, FRANKLIN I. Louis A. Becker was born in New Rochelle N.Y. in 1930 receiving his earlier education in the New Rochelle Public Schools. He completed his undergraduate studies at Manhattan College in 1952 receiving his BCE degree during which time he was also engaged in land surveying. Following this he did postgraduate study at Virginia Polytechnic Institute obtaining his MS in 1954. He joined Naval Ship Research and Development Center in 1953 as a Junior Engineer and is currently the Head of the Engineering & Facilities Division Structures Department. His field of specialization is Structural Research and Development. Franklin I. Siegrist was born in Knoxville Tenn. in 1937 receiving his earlier education in the Public Schools of Erie Pa. He attended Pennsylvania State University graduating in 1962 with a Bachelor of Science degree in Electrical Engineering having prior to that time served four years in the U. S. Navy. He was a Junior Engineer in the AC Spark Plug Division of General Motors from 1962 until 1964 at which time he came to the David Taylor Model Basin as an Electrical Engineer in the Industrial Department. He is currently Supervisory Engineer for Electrical and Electronics Engineering Structures Department Naval Ship Research and Development Center. His field of specialization is Electrical Engineering Control Systems Data Collection Systems Computer Applications to Structural Research and Hydraulic System Design. In the last of these he holds Patent Rights on a “Hydraulic Supercharge and Cooling Circuit” granted in 1970.

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Computational Neuroscience: Mathematical and Statistical Perspectives

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Statistics and Its Application 1000年第1期5卷 183-214页

作者： Robert E. Kass Shun-Ichi Amari Kensuke Arai Emery N. Brown Casey O. Diekman Markus Diesmann Brent Doiron Uri T. Eden Adrienne L. Fairhall Grant M. Fiddyment Tomoki Fukai Sonja Grün Matthew T. Harrison Moritz Helias Hiroyuki Nakahara Jun-nosuke Teramae Peter J. Thomas Mark Reimers Jordan Rodu Horacio G. Rotstein Eric Shea-Brown Hideaki Shimazaki Shigeru Shinomoto Byron M. Yu Mark A. Kramer 1Department of Statistics Machine Learning Department and Center for the Neural Basis of Cognition Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA email: kass@stat.cmu.edu 2Mathematical Neuroscience Laboratory RIKEN Brain Science Institute Wako Saitama Prefecture 351-0198 Japan 3Department of Mathematics and Statistics Boston University Boston Massachusetts 02215 USA 5Department of Anesthesia Harvard Medical School Boston Massachusetts 02115 USA 4Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA 6Department of Mathematical Sciences New Jersey Institute of Technology Newark New Jersey 07102 USA 8Department of Theoretical Systems Neurobiology Institute of Biology RWTH Aachen University 52062 Aachen Germany 7Institute of Neuroscience and Medicine Jülich Research Centre 52428 Jülich Germany 9Department of Mathematics University of Pittsburgh Pittsburgh Pennsylvania 15260 USA 10Department of Physiology and Biophysics University of Washington Seattle Washington 98105 USA 11Division of Applied Mathematics Brown University Providence Rhode Island 02912 USA 12Department of Integrated Theoretical Neuroscience Osaka University Suita Osaka Prefecture 565-0871 Japan 13Department of Mathematics Applied Mathematics and Statistics Case Western Reserve University Cleveland Ohio 44106 USA 14Department of Neuroscience Michigan State University East Lansing Michigan 48824 USA 15Department of Statistics University of Virginia Charlottesville Virginia 22904 USA 17Institute for Brain and Neuroscience Research New Jersey Institute of Technology Newark New Jersey 07102 USA 16Federated Department of Biological Sciences Rutgers University/New Jersey Institute of Technology Newark New Jersey 07102 USA 19Department of Physics Kyoto University Kyoto Kyoto Prefecture 606-8502 Japan 18Honda Research Institute Japan Wako Saitama Prefecture 351-0188 Japan 20Department of Electrical and Compute

Mathematical and statistical models have played important roles in neuroscience, especially by describing the electrical activity of neurons recorded individually, or collectively across large networks. As the field moves forward rapidly, new challenges are emerging. For maximal effectiveness, those working to advance computational neuroscience will need to appreciate and exploit the complementary strengths of mechanistic theory and the statistical paradigm.

关键词： neural data analysis neural modeling neural networks theoretical neuroscience

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Advances in Artificial Intelligence and Applied Cognitive Computing 1

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丛书名： Transactions on Computational science and Computational Intelligence

1000年

作者： Hamid R. Arabnia Ken Ferens David de la Fuente Elena B. Kozerenko José Angel Olivas Varela Fernando G. Tinetti

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Emerging Intelligent Computing Technology and Applications 1

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丛书名： Communications in computer and Information science

1000年

作者： De-Shuang Huang Phalguni Gupta Xiang Zhang Prashan Premaratne

ISBN: (数字)9783642318375

ISBN: (纸本)9783642318368

This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012. The 242 revised full papers presented in the three volumes LNCS 7389, LNAI 7390, and CCIS 304 were carefully reviewed and selected from 753 submissions. The papers in this volume (CCIS 304) are organized in topical sections on Neural Networks; Particle Swarm Optimization and Niche Technology; Kernel Methods and Supporting Vector Machines; Biology Inspired Computing and Optimization; Knowledge Discovery and Data Mining; Intelligent Computing in Bioinformatics; Intelligent Computing in Pattern Recognition; Intelligent Computing in Image Processing; Intelligent Computing in computer Vision; Intelligent Control and Automation; Knowledge Representation/Reasoning and Expert systems; Advances in Information Security; Protein and Gene Bioinformatics; Soft Computing and Bio-Inspired Techiques in real-World Applications; Bio-Inspired Computing and Applications.

关键词： Artificial Intelligence Algorithm Analysis and Problem Complexity Information systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition computer Communication Networks

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