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Development of "high presence" video communication system – trial experiment of the next generation real-time remote lecture – 1

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International Conference on information Networking, ICOIN 2002

作者： Komine, Takahiro Machizawa, Akihiko Nakagawa, Shin-Ichi Kubota, Fumito Tan, Yasuo Communications Research Laboratory Information and Network Systems Division 4-2-1 Nukui-Kitamachi Koganei-shi Tokyo184-8795 Japan Japan Advanced Institute of Science and Technology School of Information Science 1-1 Asahidai Tatsunokuchi Ishikawa923-1292 Japan

ISBN: (数字)9783540458012

ISBN: (纸本)3540442553

We have been developing the Next Generation remote lecture system that real-time transmits "high presence" audio/visual images (that are, as real as it feels no distance or screen is ever existing), without having any disturbance in a long distance transmission. We figured out what functions are required to perform the real-time remote lectures with multi-interaction between an instructor and students. We also reconfirmed the technical difficulties by executing the remote debate trial experiments and the distributed cardiac surgery workshop trial experiments and evaluating them. This paper presents introduces the Next Generation remote lecture system, which is developed based on the results and analysis of our past experiments, and reports the results of our first trial for the real-time remote lecture. It also introduces our ongoing plan to further develop this system. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Image communication systems

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Modeling and Analysis of Genetic Algorithms Using Neural Networks

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AIP Conference Proceedings 2002年第1期627卷 365-374页

作者： Jun‐ichi Imai Takeshi Yoshikawa Hiroyuki Shioya Tsutomu Da‐te *Division of Systems and Information Engineering Hokkaido University Kita 13 Nishi 8 Kita‐ku Sapporo 060‐8628 Japan †Department of Computer Science and Systems Engineering Muroran Institute of Technology Mizumoto‐cho 27‐1 Muroran 050‐8585 Japan

Vose’s genetic algorithm model assuming an infinite population is useful for a theoretical analysis. However, it is generally difficult to know transitions of infinite populations. In this paper, we propose a method for modeling genetic algorithms for infinite populations by using neural networks. We use a neural network for estimating deterministic transitions of infinite populations from stochastic data obtained through observing a process of a genetic algorithm for finite populations. Then the trained network approximates a mapping (or a vector field) which characterizes the genetic algorithm. Our method introduces a framework for analyzing genetic algorithms from the viewpoint of neural networks. In this paper, we use a mixture‐of‐experts architecture for modeling and show that an optimization problem, which the genetic algorithm solves, is represented as a combination of some other optimization problems corresponding to expert networks.

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A Grid Application for an Evaluation of Brain Function using Independent Component Analysis (ICA) 02

A Grid Application for an Evaluation of Brain Function using...

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IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID)

作者： Y. Mizuno-Matsumoto S. Date T. Kaishima Y. Kadobayashi S. Shimojo Division of Interdisciplinary Image Analysis Department of Medical Robotics and Image Sciences Graduate School of Medicine Osaka University Osaka Japan Department of Information Systems Engineering Graduate School of Engineering Osaka University Osaka Japan Graduate School of Information Science Nara Institute of Science and Technology Nara Japan Cybermedia Center Osaka University Osaka Japan

ISBN: (纸本)9780769515823

For the effective and early diagnosis of brain diseases, we have developed an evaluation system for brain function using an Independent Component Analysis (ICA) method. This evaluation system benefits greatly from the newly emerged Grid. To embody a Grid environment, a Globus grid toolkit has been utilized as a building block. In this research we have distributed the computational workload for the ICA on a Globus based Grid environment composed of two Alpha cluster systems and a personal computer. In addition, in order to allow scientists and application developers to easily build the Grid-enabled system, we also have adopted a Grid-enabled-Message Passing Interface, called MPICH-G. An introduction of MPICH-G to the medical analysis system on a Grid environment makes it possible for a naïve user to realize rapid analysis without special knowledge of the Grid. Magnetoencephalography (MEG), a highly sophisticated medical technology, is used for the measurement of brain function. The proposed method has the ability to integrate various geographically distributed resources and to analyze functional brain data from MEG

关键词： Independent component analysis Magnetic analysis Medical diagnostic imaging Diseases Distributed computing Grid computing Microcomputers Application software Magnetoencephalography Data analysis

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Erratum to “The electronics and data acquisition systems of a CsI(T1) scintillating crystal detector for low-energy neutrino experiment”

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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 2002年第3期485卷 820-820页

作者： W.P Lai K.C Cheng H.B Li H.Y Sheng B.A Zhuang C.Y Chang C.P Chen Y.P Chen H.C Hsu J Li C.Y Liang Y Liu Z.S Liu C.S Luo F Shi R.F Su P.K Teng P.L Wang Z.Y Zhou Institute of Physics Academia Sinica Taipei Taiwan Department of Management Information Systems Chung Kuo Institute of Technology Taipei Taiwan Department of Physics National Taiwan Unviersity Taipei Taiwan Institute of High Energy Physics Beijing China Department of Physics University of Maryland College Park USA Center of Material Science National Tsing Hua University Hsinchu Taiwan Department of Electronics Institute of Radiation Protection Taiyuan China Nuclear Engineering Division Kuo-sheng Nuclear Power Station Taiwan Power Company Taiwan Department of Nuclear Physics Institute of Atomic Energy Beijing China

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STNS-R: a learning method for seamless transplantation from a virtual agent to a physical robot

STNS-R: a learning method for seamless transplantation from ...

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IEEE International Conference on systems, Man and Cybernetics

作者： A. Ueno H. Soeda I. Takeda M. Kidode Graduate School of Information Science Nara Institute of Science and Technology Ikoma Nara Japan Intelligent Systems Research Division National Institute of Information Tokyo Japan

In this paper, we are concerned with the problem of how a physical robot can get an appropriate internal representation to its task and environment. Learning from experience is effective for the problem, but it is very time-consuming to learn a representation from the beginning in a real environment. On the other hand, the representation learned only in a simulated environment has the risk of not serving the purpose in a real environment because of the uncertainty in sensors, actuators, and the environment. In, order to have the best of both worlds, it is effective to transplant the learned state representation of a virtual agent to a physical robot. For this purpose., we improved our developed incremental learning architecture for use in the real environment and developed a new architecture, called STNS-R. In this architecture, inappropriate negative instances caused by uncertainties are found on the basis of the distribution of instances and removed in order to correct the distorted shapes of the states. The effectiveness of STNS-R is shown in the experimental results.

关键词： Learning systems Intelligent robots Uncertainty Actuators Robot sensing systems Machine learning information science Appropriate technology Intelligent systems Intelligent agent

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Learning relational rule from examples that are neither positive nor negative

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systems and Computers in Japan 2001年第14期32卷 34-40页

作者： Ichise, Ryutaro Numao, Masayuki Knowledge Systems Research Intelligent Systems Research Division National Institute of Informatics Tokyo 101-8430 Japan Department of Computer Science Graduate School of Information Science and Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan

Over the past decade, several inductive logic programming (ILP) systems have been developed. However, the normal ILP system does not have enough power to induce logic programs in some domains. Therefore, various new ILP systems, such as nonmonotonic ILP, that apply new learning tasks, have been proposed. In the present paper, a new learning task, called relational learning from nondichotomizable examples, is proposed for relational domains. The scheme of this task is similar to that of normal ILP, with the exception of the training examples. Normally, conventional ILP uses positive and negative examples in the training process. However, the examples of the proposed learning task are not strictly positive or negative: the training examples have a continuous scale. This new learning task is defined and a new method for learning this task is proposed. A new ILP system, SYNGIP (for SYNthesized system using Genetic programming and Inductive logic Programming), is developed based on this method and the performance of SYNGIP is compared experimentally to that of the conventional ILP method for the task of human feeling acquisition. © 2001 Scripta Technica, Syst. Comp. Jpn.

关键词： Logic programming

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Composite fuzzy measure and its application to decision making

Composite fuzzy measure and its application to decision maki...

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Conference of the North American Fuzzy information Processing Society - NAFIPS

作者： T. Kaino K. Hirota Information & Telecommunication Systems Administration Division ITOCHU Corporation Minato Tokyo Japan Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Yokohama Japan

A composite fuzzy measure space built up from two fuzzy measure spaces is proposed. It is applied to the automobile factory capital investment decision making problem. Firstly, in the application using a fuzzy measure on a real number, there is a problem of how to evaluate the inbetween intervals, each of which is given by a fuzzy measure. So, a composite fuzzy measure built up from two fuzzy measures defined on two fuzzy measurable spaces is proposed using composite fuzzy weights. The measurable space of this composite fuzzy measure is the direct sum of two measurable spaces. It is proved that a composite measure built up from two fuzzy measures using composite fuzzy weights will be a fuzzy measure. It is recursively extended to a composite fuzzy measure built up from plural measurable spaces. Also, the associative, composite fuzzy measure built up from three fuzzy measures is introduced. It is then applied to the automobile factory capital investment decision making problem. It is assumed that an automobile company has a sales plan of a new car. The current factory line has a capacity to manufacture 3200 new cars, additional to the current car lines. Then, by the use of this composite fuzzy measure, the differentiation of the Choquet integral becomes the important index for decision making, and it is confirmed to be a useful tool for this decision making.

关键词： Decision making Extraterrestrial measurements Automobiles Production facilities Space technology Investments Fuzzy systems Computational intelligence Automotive engineering Weight measurement

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MIT educators share success

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Computer Graphics (ACM) 2001年第1期35卷 20-23页

作者： Wolfe, Rosalee Belcher, John W. Mark Bessette, R. Massachusetts Institute of Technology Astrophysics Division MIT Physics Department Studio/TEAL Project MIT New England 3D Studio Max Users Group Physics Demonstration Group MIT Department of Physics Center for Space Research Massachusetts Institute of Technology Center for Educational Computing Initiatives Massachusetts Institute of Technology Division of Graphics and Human-Computer Interaction School of Computer Science Telecommunications and Information Systems DePaul University School of Computer Science DePaul University Chicago IL 60604

Professor John Belcher developed a series of short videos with animation and text of selected experiments to properly demonstrate the phenomena of electromagnetism. Such 3D animations are visually compelling, instilling in the student both a sense of wonder about the phenomena and a mental model of why and how it works. The products of these approach includes video clips of demonstrations, 3D animations of these demonstration which display time changing field-lines as a guide to understanding their dynamical effects and Java applets which allow the student to actively construct and animate 2D field lines for varying configurations of sources. These technologies are also implemented to develop animations for Faraday's insights, using video clips.

关键词： Computer graphics

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Beyond perceptual modality: Auditory effects on visual perception

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Acoustical science and technology 2001年第2期22卷 61-67页

作者： Shimojo, Shinsuke Scheier, Christian Nijhawan, Romi Shams, Ladan Kamitani, Yukiyasu Watanabe, Katsumi Division of Biology California Institute of Technology MC 139-74 Pasadena CA 91125 United States Human and Information Science Laboratory NTT Communication Science Laboratories Atsugi 243-0198 Japan Department of Cognitive and Computing Sciences University of Sussex-Brighton Brighton East Sussex BN1 9QH United Kingdom Computation and Neural Systems California Institute of Technology MC 139-74 Pasadena CA 91125 United States

Three sets of new findings with regard to modulation of visual perception by auditory stimuli are reviewed. First, we show that visual temporal resolution can be either improved or deteriorated by accompanying sounds, depending on the sequence and delay among the auditory and visual stimuli. Second, a single visual flash can be perceived as multiple flashes when accompanied by multiple sounds. Third, an ambiguous motion display consisting of two objects moving toward each other is perceived as streaming with or without an unsynchronized sound, but as bouncing with a synchronized sound. Based on these findings, we argue, against the traditional belief of visual dominance, that audition can modify vision particularly when it provides strong transient signal(s).

关键词： Audition

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Computational simulation of flow in the aortic arch (Influence of the 3-D distortion on flows in the ordinary helix circular tube)

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JSME International Journal, Series C: Mechanical systems, Machine Elements and Manufacturing 2000年第4期43卷 862-866页

作者： Mori, D. Liu, H. Yamaguchi, T. Department of Mechanical and Systems Engineering Nagoya Institute of Technology Japan Division of Advanced Computer and Information Science RIKEN Japan

Recent research has shown that the centerline of the human aortic arch does not lie in a plane, but has a three-dimensional (3-D) distortion. This distortion is thought to be a risk factor in the development of aneurysms. In the present study, the aorta was numerically modeled using a computational fluid dynamics method. The flow geometry consisted of a circular tube with a centerline approximated by an ordinary helix. A region with a high component of longitudinal wall shear stress was found distributed along the direction of the torsion. The localization of the wall shear stress distribution is due to complex centrifugal forces, and is discussed with respect to the development of vascular diseases including aneurysms and atherosclerosis.

关键词： 3-D distortion Aneurysm Aortic arch Blood flow CFD Helical circular tube Wall shear stress

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