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作者： Matsuoka, Satoshi Shimojo, Sinji Aoyagi, Mutsumi Sekiguchi, Satoshi Usami, Hitohide Miura, Kenichi Global Scientific Information and Computing Center Tokyo Institute of Technology Tokyo 152-8550 Japan NAREGI Project National Institute of Informatics Tokyo 101-0051 Japan Cybermedia Center Osaka University Osaka 567-0047 Japan Computing and Communications Center Kyushu University Fukuoka 812-8581 Japan Tsukuba 305-8568 Japan Computational Science And Engineering Center Fujitsu Ltd. Chiba 261-8588 Japan Tokyo 101-0051 Japan Fujitsu Laboratory Kanagawa 211-8588 Japan

The National Research Grid Initiative (NAREGI) is one of the major Japanese national IT projects currently being conducted. NAREGI will cover the period 2003-2007, and collaboration among industry, academia, and the government will play a key role in its success. The Center for Grid Research and Development has been established as a center for R&D of high-performance, scalable grid middleware technologies, which are aimed at enabling major computing centers to host grids over high-speed networks to provide a future computational infrastructure for scientific and engineering research in the 21st century. As an example of utilizing such grid computing technologies, the Center for Application Research and Development is conducting research on leading-edge, grid-enabled nanoscience and nanotechnology simulation applications, which will lead to the discovery and development of new materials and next-generation nanodevices. These two centers are collaborating to establish daily research use of a multiteraflop grid testbed infrastructure, which will be built to demonstrate the advantages of grid technologies for future applications in all areas of science and engineering. © 2005 IEEE.

关键词： Computation theory

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On using type-1 fuzzy set mathematics to derive interval type-2 fuzzy logic systems

On using type-1 fuzzy set mathematics to derive interval typ...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： J.M. Mendel R.I. John Feilong Liu Signal and Image Processing Institute Department of Electrical Engineering University of Southern California Los Angeles CA USA Centre for Computational Intelligence Department of Computer Science Faculty of Computing Science and Engineering De Montfort University Leicester UK

In this paper, we demonstrate that it is unnecessary to take the route from general type-2 fuzzy set to interval type-2 fuzzy set, and that all of the results that are needed to implement an interval type-2 fuzzy logic system can be obtained using type-1 fuzzy set mathematics. As such, this paper makes an interval type-2 fuzzy logic system much more accessible to the fuzzy logic community, and we can now develop an interval type-2 fuzzy logic system in a much more straightforward way.

关键词： Fuzzy logic Fuzzy sets Fuzzy systems Mathematics Frequency selective surfaces Signal processing Image processing computational intelligence Computer science Uncertainty

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A new class of memory gradient methods with inexact line searches

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Journal of Numerical Mathematics 2005年第1期13卷 53-71页

作者： Shi, Z.-J. College of Operations Research and Management Qufu Normal University Rizhao Shandong 276826 China Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences P.O. Box 2719 Beijing 100080 China

The paper presents a new class of memory gradient methods with inexact line searches for unconstrained minimization problems. The methods use more previous iterative information than other methods to generate a search direction and use inexact line searches to select a step-size at each iteration. It is proved that the new methods have global convergence under weak mild conditions. The convergence rate of these methods is also investigated under some special cases. Some numerical experiments show that these new algorithms converge more stably than other line search methods and are effective in solving large scale unconstrained minimization problems. © VSP 2005.

关键词： Problem solving

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ICDAR2005 page segmentation competition

ICDAR2005 page segmentation competition

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International Conference on Document Analysis and Recognition

作者： A. Antonacopoulos B. Gatos D. Bridson Pattern Recognition and Image Analysis (PRImA) Research Laboratory School of Computing Science and Engineering University of Sanford Manchester UK Computational Intelligence Laboratory National Center for Scientific Research Demokritos Institute of Informatics and Telecommunications Athens Greece

There is an established need for objective evaluation of layout analysis methods, in realistic circumstances. This paper describes the page segmentation competition (modus operandi, dataset and evaluation criteria) held in the context of ICDAR2005 and presents the results of the evaluation of four candidate methods. The main objective of the competition was to compare the performance of such methods using scanned documents from commonly-occurring publications. The results indicate that although methods seem to be maturing, there is still a considerable need to develop robust methods that deal with everyday documents.

关键词： Image analysis Performance analysis Image segmentation Text analysis Optical character recognition software Pattern recognition Telecommunication computing computational intelligence Laboratories Informatics

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Image-based 3D face modeling system

Image-based 3D face modeling system

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作者： Park, In Kyu Zhang, Hui Vezhnevets, Vladimir School of Information and Communication Engineering Inha University 253 Younghyun-dong Nam-gu Incheon 402-751 Korea Republic of Computing Lab Samsung Advanced Institute of Technology San 14-1 Nongseo-ri Giheung-eup Yongin 449-712 Korea Republic of Graphics and Media Lab Department of Computational Mathematics and Cybernetics Moscow State University Moscow 119899 Russia School of Information and Communication Engineering Inha University Korea Republic of IEEE IEEE Computer Society ACM Samsung Advanced Institute of Technology Yongin Korea Republic of Graphics and Media Lab Computer Science Department Moscow State University

This paper describes an automatic system for 3D face modeling using frontal and profile images taken by an ordinary digital camera. The system consists of four subsystems including frontal feature detection, profile feature detection, shape deformation, and texture generation modules. The frontal and profile feature detection modules automatically extract the facial parts such as the eye, nose, mouth, and ear. The shape deformation module utilizes the detected features to deform the generic head mesh model such that the deformed model coincides with the detected features. A texture is created by combining the facial textures augmented from the input images and the synthesized texture and mapped onto the deformed generic head model. This paper provides a practical system for 3D face modeling, which is highly automated by aggregating, customizing, and optimizing a bunch of individual computer vision algorithms. The experimental results show a highly automated process of modeling, which is sufficiently robust to various imaging conditions. The whole model creation including all the optional manual corrections takes only 2-3 minutes. © 2005 Hindawi Publishing Corporation.

关键词： Computer simulation

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Class of algebraic multigrid algorithms with three-dimensional equal algebraic structures

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Jisuan Wuli/Chinese Journal of computational Physics 2005年第6期22卷 488-492页

作者： Shu, Shi Huang, Yun-Qing Yang, Ying Yu, Xi-Jun Xiao, Ying-Xiong School of Mathematics and Computational Science Xiangtan University Xiangtan 411105 China Institute of Computational Mathematics and Science/Engineering Computing Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100080 China Institute of Applied Physics and Computational Mathematics Beijing 100088 China Civil Engineering and Mechanics College Xiangtan University Xiangtan 411105 China

Two kinds of algebraic multigrid (AMG) algorithms with three-dimensional equal algebraic structures are constructed on the basis of a two-dimensional coarsing technique. The AMG method and the corresponding algebraic multigrid-preconditioned CG method are applied to elliptic boundary value problems with smooth coefficients and anisotropic problems. Numerical results show that the AMG algorithm is efficient and robust.

关键词： Algorithms

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3D prestack depth migration with planewave synthesizing method

3D prestack depth migration with planewave synthesizing meth...

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2004 Society of Exploration Geophysicists Annual Meeting, SEG 2004

作者： Zhang, Wensheng Institute of Computational Mathematics and Scientific Engineering Computing Academy of Mathematics and Systems Science CAS Beijing100080 China

3D prestack depth migration is essential for imaging complex structures. And shot-profile 3D prestack depth migration is one of the commonly used methods. In this paper, the 3D prestack depth migration for the SEG/EAEG model with the planewave synthesizing method is presented. Based on the difference operator splitting method, wavefield extrapolation by hybrid methods is implemented with two schemes, one is the two-way splitting algorithm, the other is the four-way splitting algorithm. Numerical results for the SEG/EAEG model with MPI parallel algorithm are given. The migration results show that the 3D prestack depth migration with the planewave synthesizing method has good imaging precision and that the numerical anisotropic errors are not obvious when wavefield extrapolation is completed with the two-way splitting hybrid algorithm. The method presented in this paper can be applied in field data processing. © 2004 SEG Annual Meeting. All rights reserved.

关键词： Numerical methods

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An Exponential Matrix Product Based Representation for Generalized Hypergeometric Functions of TypepFp

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Applied Numerical Analysis & computational Mathematics 2005年第1期2卷

作者： N. A. Baykara İrem Yaman Metin Demiralp Mathematics Department Faculty of Sciences and Letters Marmara University Göztepe 34722 İstanbul Turkey Group for Science and Methods of Computing Computational Science and Engineering Program Informatics Institute İstanbul Technical University Maslak 34469 İstanbul Turkey Phone: +90 212 285 70 77 Fax: +90 212 285 70 73 Phone: +90 212 285 70 82 Fax: +90 212 285 70 73

In this work, a new representation is developed for generalized hypergeometric functions of type p F p . To this end a first order vector differential equation is constructed in a way such that the derivative of the unknown vector has unit matrix coefficient. The solution vector differential equation is rewritten in the form of a series expansion. An infinite process of factor extractions and annihilations is employed to construct finally a vector differential equation that can be easily solved. Truncation of this scheme can be used to get approximations to hypergeometric functions of type p F p . A simple, yet meaningful, implementation seems to give quite promising results. (© 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)

关键词： Exponential matrix factorization generalized hypergemetric function

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The Healthgrid White Paper 3

The Healthgrid White Paper

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3rd Annual Conference of the Healthgrid Association, Healthgrid 2005

作者： Breton, Vincent Dean, Kevin Solomonides, Tony Aloisio, Giovanni Benkner, Siegfried Bilofsky, Howard Blanquer, Ignacio Brady, Michael Cannataro, Mario Chouvarda, Ioanna Claerhout, Brecht De Moor, Georges De Neve, Wilfried De Wagter, Carlos Fiore, Sandro Hassan, Kinda Heeren, Germaine Hernández, Vicente Herveg, Jean A.M. Hofmann, Martin Jones, Chris Koutkias, Vassilios Lloyd, Sharon Lonsdale, Guy Alonso, Victoria L. Maglaveras, Nicos Maigne, Lydia Malousi, Andigoni Martín-Sánchez, Fernando McClatchey, Richard Medico, Enzo Miguet, Serge Mirto, Maria Montagnat, Johan Nørager1, Sofie Nozaki, Kazunori Oliveira, Ilídio Castro Pennec, Xavier Poullet, Yves Merino, Juan Pedro Sánchez Strizh, Irina G. Taillet, Michel Tristram, Clive Tverdokhlebov, Nikolay Veltri, Pierangelo Ziegler, René CNRS-IN2P3 LPC Campus des Cézeaux AubiereCedex63177 France Internet Business Solutions Group Cisco Systems 9 New Square Bedfont Lakes Middlesex FelthamTW14 8HA United Kingdom University of the West of England Bristol CEMS Coldharbour Lane BristolBS6 6TH United Kingdom Center for Advanced Computational Technologies ISUFI Dept. of Innovation Engineering University of Lecce Via per Monteroni Lecce73100 Italy Institute of Scientific Computing University of Vienna Nordbergstrasse 15 ViennaA-1090 Austria University of Pennsylvania School of Engineering and Applied Science Computer and Information Science Center for Bioinformatics 1416 Blockley Hall 423 Guardian Drive PhiladelphiaPA19104-6021 United States Universidad Politecnica de Valencia Camino de Vera/n Valencia46022 Spain FRS FREng Dept. of Engineering Science Oxford University Parks Road OxfordOX1 3PJ United Kingdom Magna Graecia University of Catanzaro School of Bioinformatics and Biomedical Engineering Campus di Germaneto Viale Europa Germaneto Catanzaro88100 Italy Aristotle University The Medical School Lab of Medical Informatics Box 323 Thessaloniki54124 Greece Custodix NV Verlorenbroodstraat 120 Bus 14 MerelbekeB-9820 Belgium Research in Advanced Medical Informatics and Telematics UZ Gent 5K3 De Pintelaan 185 GentB9000 Belgium Department of Radiotherapy Ghent University Hospital Building P7 De Pintelaan 185 GentB-9000 Belgium Laboratoire LIRIS Université Lumière Lyon 2 Campus Porte des Alpes 5 avenue Pierre Mendès France Bron69676 France av. E.Mounierlaan 83 Brussels1200 Belgium Faculté de Droit de Namur - FUNDP Centre de Recherches Informatiques & Droit 5 rempart de la Vierge Namur5000 Belgium Schloss Birlinghoven Sankt Augustin53754 Germany CERN Geneva 231211 Switzerland Oxford University Computing Laboratory Wolfson Building OxfordOX1 3QD United Kingdom C&C Research Laboratories NEC Europe Ltd. Rathausallee 10 Sankt AugustinD-53757 Germany Medic

ISBN: (纸本)158603510X

Over the last four years, a community of researchers working on Grid and High Performance computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th–17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens’ health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th–30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid tec

关键词： Health risks

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Teracluster LSSC-II--Its designing principles and applications in large scale numerical simulations

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中国科学A辑（英文版） 2004年第z1期47卷 53-68页

作者： Zhang Linbo Chen Shiyi LI Xinliang CAO Jianwen ZHANG Wensheng GONG Xingao State Key Laboratory of Scientific and Engineering Computing Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100080 China Department of Mechanical Engineering The Johns Hopkins University and Center for Computational Science and Engineering Peking University Beijing 100875 China Institute of Mechanics Chinese Academy of SciencesBeijing 100080 China Parallel Computing Laboratory Institute of Software Chinese Academy of Sciences Beijing 100080 China Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100080 China Surface Physics Laboratory National Key Laboratory Fudan University Shanghai 200433 Institute of Solid State Physics Chinese Academy of Sciences Hefei 230031 China

The teracluster LSSC-II installed at the State Key Laboratory of Scientific and engineering computing, Chinese Academy of sciences is one of the most powerful PC clusters in China. It has a peek performance of 2Tflops. With a Linpack performance of 1.04Tflops, it is ranked at the 43rd place in the 20th TOP500 List (November 2002), 51st place in the 21st TOP500 List (June 2003), and the 82nd place in the 22nd TOP500 List (November 2003) with a new Linpack performance of 1.3Tflops. In this paper, we present some design principles of this cluster, as well as its applications in some large-scale numerical simulations.

关键词： high performance computing PC cluster large scale numerical simulations

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