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Grid approach to embarrassingly parallel CPU-intensive bioinformatics problems

Grid approach to embarrassingly parallel CPU-intensive bioin...

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e-Science 2006 - 2nd ieee international conference on e-Science and Grid Computing

作者： Stockinger, Heinz Pagni, Marco Cerutti, Lorenzo Falquet, Laurent Swiss Institute of Bioinformatics Vital-IT Quartier Sorge - Batiment Genopode CH-1015 Lausanne Switzerland

ISBN: (纸本)0769527345

bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a single computer often runs for many hours or even days. High performance infrastructures such as clusters or computational Grids provide the techniques to speed up the process by distributing the workload to remote nodes, running parts of the work load in parallel. Biologists often do not have access to such hardware systems. Therefore, we propose a new system using a modern Grid approach to optimise an embarrassingly parallel problem. We achieve speed ups by at least two orders of magnitude given that we can use a powerful, world-wide distributed Grid infrastructure. For large-scale problems our method can outperform algorithms designed for mid-size clusters even considering additional latencies imposed by Grid infrastructures. © 2006 ieee.

关键词： Grid computing

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Crossing the language barrier using fuzzy logic

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Chau, Rowena Yeh, Chung-Hsing School of Business Systems Faculty of Information Technology Monash University Clayton Vic. 3800 Australia

ISBN: (纸本)9783540283317

Cross-lingual text retrieval (CLTR) concerns the retrieval of documents across languages. To allow multilingual term matching, a multilingual thesaurus is needed. However, a multilingual thesaurus encoding exact translation equivalent is insufficient for effective CLTR since relevant documents are often indexed by cross-lingual related terms. In this paper, a novel approach for automatically constructing a multilingual thesaurus based on fuzzy set theory is proposed. By introducing a degree of relatedness between multilingual terms using the concept of membership degree, partial match of cross-lingual related terms is facilitated. Development of a fuzzy multilingual news retrieval system using the proposed approach is presented. © Springer-Verlag Berlin Heidelberg 2005.

关键词： computational linguistics

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Weighted fuzzy queries in relational databases

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Zhang, Ying-Chao Chen, Yi-Fei Ye, Xiao-Ling Zheng, Jie-Liang Dept. of Information and Communication Nanjing University of Information Sciences and Technology Nanjing 210044 China

ISBN: (纸本)9783540283317

In most of fuzzy querying systems, items in query conditions are assumed to carry equal importance, although it might not actually to be the case. Issues for expressing users' preferences to query conditions are presented here. Relative importance between query items is introduced. Standard SQL is extended to express weighted fuzzy queries, such as sub-queries, multi-table queries;set-oriented queries etc. which make the existing relational database systems more flexible and more intelligent to users. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Relational database systems

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Modeling nonlinear systems: An approach of boosted linguistic models

引用

2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Kwak, Keun-Chang Pedrycz, Witold Chun, Myung-Geun Dept. of Electrical and Computer Engineering University of Alberta Edmonton Alta. T6G 2V4 Canada School of Electrical and Computer Engineering Chungbuk National University Cheongju 361-763 Korea Republic of

ISBN: (纸本)9783540283317

We present a method of designing the generic linguistic model based on boosting mechanism to enhance the development process. The enhanced model is concerned with linguistic models being originally proposed by Pedrycz. Based on original linguistic model, we augment it by a bias term. Furthermore we consider the linguistic model as a weak learner and discuss the underlying mechanisms of boosting to deal with the continuous case. Finally, we demonstrate that the results obtained by the boosted linguistic model show a better performance than different design schemes for nonlinear system modeling of a pH neutralization process in a continuous stirred-tank reactor (CSTR). © Springer-Verlag Berlin Heidelberg 2005.

关键词： Nonlinear systems

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A balanced model reduction for T-S fuzzy systems with integral quadratic constraints

A balanced model reduction for T-S fuzzy systems with integr...

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Yoo, Seog-Hwan Choi, Byung-Jae School of Electronic Engineering Daegu University Korea Republic of

ISBN: (纸本)9783540283126

This paper deals with a balanced model reduction for a class of nonlinear systems with integral quadratic constraints(IQC's) using a T-S(Takagi-Sugeno) fuzzy approach. We define a generalized controllability Gramian and a generalized observability Gramian for a stable T-S fuzzy systems with IQC's. We obtain a balanced state space realization using the generalized controllability and observability Gramians and obtain a reduced model by truncating not only states but also IQC's from the balanced state space realization. We also present an upper bound of the approximation error. The generalized controllability Gramian and observability Gramian can be computed from solutions of linear matrix inequalities. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Fuzzy control

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Fuzzy sliding mode control for uncertain nonlinear systems

Fuzzy sliding mode control for uncertain nonlinear systems

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Qu, Shao-Cheng Wang, Yong-Ji Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9783540283126

The novel fuzzy sliding mode control problem is presented for a class of uncertain nonlinear systems. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a class of complex uncertain nonlinear system. A virtual state feedback technology is proposed to design the sliding mode plane. Based on Lyapunov stability theory, sufficient conditions for design of the fuzzy sliding model control are given. Design of the sliding mode controller based on reaching law concept is developed, which to ensure system trajectories from any initial states asymptotically convergent to sliding mode plane. The global asymptotic stability is guaranteed. A numerical example with simulation results is given to illustrate the effectiveness of the proposed method. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Fuzzy control

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Method to balance the communication among multi-agents in real time traffic synchronization

Method to balance the communication among multi-agents in re...

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Weigang, Li Dib, Marcos Viniácius Pinheiro De Melo, Alba Cristina Magalhães Department of Computer Science University of Brasilia Brasilia-DF CEP 70910-900 Brazil Politec Informatic Ldta Brasilia-DF Brazil

ISBN: (纸本)9783540283126

A method to balance the communication among Multi-Agents in real time traffic synchronization is proposed in this research. The paper presents Air Traffic Flow Management (ATFM) problem and its synchronization property. For such a complex problem, combing grid computing with multi-agent coordination techniques to improve ATFM computational efficiency is the main objective of actual research. To demonstrate the developed model - ATFM in Grid Computing (ATFMGC), the grid architecture, the basic components and the relationship among them are described. At the same time, the function of agents (tactical planning agent etc.), their knowledge representation and inference processes are also discussed. As criteria to measure the effective to reduce quantity of the communication among agents and the delay of the flights, Standard of Balancing among Agents (SBA) is used in the analysis. The simulation shows the efficiency of the developed model and successful application in the case study. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Multi agent systems

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UML-based design and fuzzy control of automated vehicles

UML-based design and fuzzy control of automated vehicles

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： El Kamel, Abdelkader Bourey, Jean-Pierre LAGIS Ecole Centrale de Lille BP 48 F59651 Villeneuve d'Ascq Cedex France ERGI Ecole Centrale de Lille BP 48 F59651 Villeneuve d'Ascq Cedex France

ISBN: (纸本)9783540283126

The paper addresses a study case in the frame of ground transportation aiming at improving service quality inside road tunnels. As part of a global project on vehicle automation which aim is to realize a reduced scale multisensor platoon of vehicles, a formal specification analysis is carried out and a UML-based design introduced taking into account different riding scenarios inside road tunnels besides a fuzzy control for longitudinal and lateral guidance of a caravan of vehicles. The proposed multimodel fuzzy controllers deal with the grappling and/or the unhooking of the automated train of vehicles for safe tunnels. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Intelligent vehicle highway systems

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Neuro-fuzzy inference system to learn expert decision: Between performance and intelligibility

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Cornez, Laurence Samuelides, Manuel Muller, Jean-Denis ONERA DTIM 2 avenue Edouard Belin 31055 Toulouse Cedex 4 France SUPAERO 10 avenue Edouard Belin 31055 Toulouse Cedex 4 France CEA DAM/DASE/LDG BP12 91680 Bruyres-le-Chtel France

ISBN: (纸本)9783540283317

We present a discrimation method for seismic events. One event is described by high level features. Since these variables are both quantitative and qualitative, we develop a processing line, on the crossroad of statistics ("Mixtures of Experts") and Artificial Intelligence ("Fuzzy Inference System"). It can be viewed as an original extension of Radial Basis Function Networks. The method provides an efficient trade-off between high performance and intelligibility. We propose also a graphical presentation of the model satisfying the experts' requirements for intelligibility. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Inference engines

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A three-step preprocessing algorithm for minimizing e-mail document's atypical characteristics

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2nd international conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Jeong, Ok-Ran Cho, Dong-Sub Department of Computer Science and Engineering Ewha Womans University 11-1 Daehyun-dong Seodaemun-ku Seoul 120-750 Korea Republic of

ISBN: (纸本)9783540283317

Documents that are widely in use today included many atypical characteristics. In particular, non-standardization appears more frequently in e-mail documents than other documents due to the extensive use of informal expressions such as slang and abbreviation. Automatic document classification may differ significantly according to the characteristics of documents that are subject to classification, as well as classifier's performance. We suggest a three-step preprocessing algorithm by stages for accurate automatic classification for each e-mail category. This research identifies e-mail document's characteristics to apply a three-step preprocessing algorithm that can minimize e-mail document's atypical characteristics. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Information retrieval systems

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