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Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research

作者： Jiawei Han Jenny Y. Chiang Sonny Chee Jianping Chen Qing Chen Shan Cheng Wan Gong Micheline Kamber Krzysztof Koperski Gang Liu Yijun Lu Nebojsa Stefanovic Lara Winstone Betty B. Xia Osmar R. Zaiane Shuhua Zhang Hua Zhu Data Mining Research Group Intelligent Database Systems Research Laboratory School of Computing Science Simon Fraser University British Columbia Canada V5A 1S6

A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases and data warehouses. The system implements a wide spectrum of data mining functions, including characterization, comparison, association, classification, prediction, and clustering. By incorporating several interesting data mining techniques, including OLAP and attribute-oriented induction, statistical analysis, progressive deepening for mining multiple-level knowledge, and meta-rule guided mining, the system provides a user-friendly, interactive data mining environment with good performance.

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Intelligent hybrid multi-agent architecture for engineering complex systems

Intelligent hybrid multi-agent architecture for engineering ...

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International Conference on Neural Networks

作者： R. Khosla T. Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute and Department of Computer Science and Computer Engineering La Trobe University Victoria Canada

In this paper we outline an intelligent hybrid multi-agent architecture for engineering complex systems. The hybrid multi-agent architecture is described at the task structure level. The architecture has been successfully applied in a real time alarm processing and fault diagnosis system in a power system control centre with good performance results.

关键词： systems engineering and theory Computer architecture Hybrid intelligent systems Intelligent agent Real time systems Fault diagnosis Power system control Laboratories Computer science Electronic mail

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An efficient local address generation for the block-cyclic distribution

An efficient local address generation for the block-cyclic d...

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IEEE International Conference on Algorithms and Architectures for Parallel Processing (ICAP)

作者： Oh-Young Kwon Tae-Geun Kim Tack-Don Han Sung-Bong Yang Shin-Dug Kim Distributed Computing Laboratory Systems Engineering Research Institute Taejon South Korea Parallel Processing System Laboratory Department of Computer Science Yonsei University Seoul South Korea

ISBN: (纸本)0780342291

In order to generate local addresses for an array section A(l:h:s) with block-cyclic distribution, an efficient compiling method is required. In this paper, two local address generation methods for the block-cyclic distribution are presented. One is a simple local address generation method that is modified from the virtual-block scheme. The other is a linear-time /spl Delta/M table construction method. The array elements of A(l:h:s) to be accessed at run-time build up a family of lines. By using the equation of the lines, a /spl Delta/M table can be generated in O(k) time. Experimental results show that a simple local address generation method has poor performance but a linear-time /spl Delta/M table generation method is faster than other algorithms in /spl Delta/M table generation time and access time for 10,000 array elements.

关键词： Runtime Equations Distributed computing systems engineering and theory Parallel processing Laboratories Computer science Parallel languages Upper bound Automata

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Fusion of knowledge-based systems and neural networks and applications

Fusion of knowledge-based systems and neural networks and ap...

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International Conference on Knowledge-Based Intelligent Electronic systems (KES)

Neural Networks and Symbolic Knowledge-Based systems each have their strengths and weaknesses. Intelligent systems that fuse these two paradigms overcome a significant number of the weaknesses of each individual paradigm. There are many different approaches in the literature (including research from the author's own group) to fusing these paradigms. A critical evaluation of these approaches is given within the paper.

关键词： Knowledge based systems Neural networks Intelligent networks Humans Artificial neural networks Artificial intelligence Problem-solving Application software Intelligent systems Computer networks

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Scalable hardware priority queue architectures for high-speed packet switches

Scalable hardware priority queue architectures for high-spee...

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Real-Time Technology and Applications Symposium

作者： S.-W. Moon K.G. Shin J. Rexford Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA Network Mathematics Research Networking and Distributed Systems AT and T Research Laboratories Murray Hill NJ USA

In packet-switched networks, queueing of packets at the switches can result when multiple connections share the same physical link. To accommodate a large number of connections, a switch can employ link-scheduling algorithms to prioritize the transmission of the queued packets. Due to the high-speed links and small packet sizes, a hardware solution is needed for the priority queue in order to make the link schedulers effective. But for good performance, the switch should also support a large number of priority levels (P) and be able to buffer a large number of packets (N). So a hardware priority queue design must be both fast and scalable (with respect to N and P) in order to be implemented effectively. In this paper we first compare four existing hardware priority queue architectures, and identify scalability limitations on implementing these existing architectures for large N and P. Based on our findings, we propose two new priority queue architectures, and evaluate them using simulation results from Verilog HDL and Epoch implementations.

关键词： Packet switching Switches Traffic control Scheduling algorithm Asynchronous transfer mode Hardware design languages Communication system traffic control Computer architecture Moon Real time systems

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DBMiner: interactive mining of multiple-level knowledge in relational databases 96

DBMiner: interactive mining of multiple-level knowledge in r...

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Proceedings of the 1996 ACM SIGMOD international conference on Management of data

作者： Jaiwei Han Youngjian Fu Wei Wang Jenny Chiang Osmar R. Zaïane Krzysztof Koperski Data Mining Research Group Database Systems Research Laboratory School of Computing Science Simon Fraser University British Columbia Canada V5A 1S6

ISBN: (纸本)9780897917940

Based on our years-of-research, a data mining system, DB-Miner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classification, and prediction. By incorporation of several interesting data mining techniques, including attribute-oriented induction, progressive deepening for mining multiple-level rules, and meta-rule guided knowledge mining, the system provides a user-friendly, interactive data mining environment with good performance.

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Virtual memory versus file interfaces for large, memory-intensive scientific applications 96

Virtual memory versus file interfaces for large, memory-inte...

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Proceedings of the 1996 ACM/IEEE conference on Supercomputing

作者： Yoonho Park Ridgway Scott Stuart Sechrest High Performance Computing Center University of Houston Houston TX Software Systems Research Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI

ISBN: (纸本)9780897918541

Scientific applications often require some strategy for temporary data storage to do the largest possible simulations. The use of virtual memory for temporary data storage has received criticism because of performance problems. However, modern virtual memory found in recent operating systems such as Cenju-3/DE give application writers control over virtual memory policies. We demonstrate that custom virtual memory policies can dramatically reduce virtual memory overhead and allow applications to run out-of-core efficiently. We also demonstrate that the main advantage of virtual memory, namely programming simplicity, is not lost.

关键词： custom policies

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Virtual Memory versus File Interface for Large, Memory-Intensive Scientific Applications

Virtual Memory versus File Interface for Large, Memory-Inten...

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Supercomputing Conference

作者： Yoonho Park R. Scott S. Sechrest High performance computing center University of Houston Houston TX USA Software Systems Research Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

关键词： Memory Operating systems Control systems

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Application of an integrated fuzzy, knowledge-based, connectionistic architecture for fault diagnosis in power systems

Application of an integrated fuzzy, knowledge-based, connect...

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International Conference on Intelligent systems Applications to Power systems (ISAP)

作者： S.K. Tang T.S. Dillon R. Khosla Expert & Intelligent Syst. Lab. La Trobe Univ. Bundoora Vic. Australia Expert & Intelligent Systems Laboratory Applied Computing Research Inst and Department of Computer Science and Computer Engineering La Trobe University Bundoora VIC Australia

In this paper, we show the relevance of fuzzy systems in an integrated symbolic-subsymbolic architecture, GENUES (generic neuro-expert system), for information processing. Fuzzy logic is used for modelling knowledge in different phases of the GENUES architecture. As an illustration we show the application of fuzzy logic in the decision phase and post-processing phase of GENUES for power system fault diagnosis.

关键词： Fault diagnosis Fuzzy systems Artificial neural networks Problem-solving Power system faults Intelligent systems Power engineering computing Fuzzy logic Knowledge based systems Power system modeling

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Benchmarking implementations of functional languages with 'Pseudoknot', a float-intensive benchmark

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Journal of Functional Programming 1996年第4期6卷 621-655页

作者： Hartel, Pieter H. Feeley, Marc Alt, Martin Augustsson, Lennart Baumann, Peter Beemster, Marcel Chailloux, Emmanuel Flood, Christine H. Grieskamp, Wolfgang Van Groningen, John H. G. Hammond, Kevin Hausman, Bogumil Ivory, Melody Y. Jones, Richard E. Kamperman, Jasper Lee, Peter Leroy, Xavier Lins, Rafael D. Loosemore, Sandra Röjemo, Niklas Serrano, Manuel Talpin, Jean-Pierre Thackray, Jon Thomas, Stephen Walters, Pum Weis, Pierre Wentworth, Peter Department of Computer Systems University of Amsterdam 1098 SJ Amsterdam Kruislaan 403 Netherlands Dept. d'Informatique et R.o. Université de Montréal Montréal Que. H3C 3J7 succursale centre-ville Canada Informatik Universität des Saarlandes 66041 Saarbrücken 11 Germany Department of Computer Systems Chalmers University of Technology 412 96 Göteborg Sweden Department of Computer Science University of Zurich 8057 Zurich Winterthurerstr. 190 Switzerland LIENS URA 1327 du CNRS Ecl. Normale Supérieure 75230 Paris Cédex 05 45 rue d'Ulm France Laboratory for Computer Science MIT Cambridge MA 02139 545 Technology Square United States Berlin University of Technology 10587 Berlin Franklinstr. 28-29 Germany Fac. of Math. and Computer Science Univ. of Nijmegen 6525 ED Nijmegen Toernooiveld 1 Netherlands Department of Computing Science Glasgow University Glasgow G12 8QQ 17 Ulybank Gardens United Kingdom Computer Science Lab. Box 1505 S-125 25 Älvsjö Sweden Computer Research Group Inst. for Sci. Computer Research Lawrence Livermore Natl. Laboratory Livermore CA 94550 P.O. Box 808 L-419 United States Department of Computer Science University of Kent at Canterbury Canterbury Kent CT2 7NF United Kingdom CWl 1098 SJ Amsterdam Kruislaan 413 Netherlands Department of Computer Science Carnegie Mellon University Pittsburgh PA 15213 5000 Forbes Avenue United States INRIA Rocquencourt Projet Cristal 78153 Le Chesnay B.P. 105 France Departamento de Informática Universidade Federal de Pernambuco Recife PE Brazil Department of Computer Science Yale University New Haven CT United States INRIA Rocquencourt Projet Icsla 78153 Le Chesnay B.P. 105 France Europ. Comp.-Indust. Research Centre D-81925 Munich Arabella Straße 17 Germany Harlequin Ltd. Barrington Hall Barrington Cambridge CB2 5RG United Kingdom Department of Computer Science University of Nottingham Nottingham NG7 2RD United Kingdom Department of Computer Science Rhodes University Grahamstown

Over 25 implementations of different functional languages are benchmarked using the same program, a floating-point intensive application taken from molecular biology. The principal aspects studied are compile time and execution time for the various implementations that were benchmarked. An important consideration is how the program can be modified and tuned to obtain maximal performance on each language implementation. With few exceptions, the compilers take a significant amount of time to compile this program, though most compilers were faster than the then current GNU C compiler (GCC version 2.5.8). Compilers that generate C or Lisp are often slower than those that generate native code directly: the cost of compiling the intermediate form is normally a large fraction of the total compilation time. There is no clear distinction between the runtime performance of eager and lazy implementations when appropriate annotations are used: lazy implementations have clearly come of age when it comes to implementing largely strict applications, such as the Pseudoknot program. The speed of C can be approached by some implementations, but to achieve this performance, special measures such as strictness annotations are required by non-strict implementations. The benchmark results have to be interpreted with care. Firstly, a benchmark based on a single program cannot cover a wide spectrum of 'typical' applications. Secondly, the compilers vary in the kind and level of optimisations offered, so the effort required to obtain an optimal version of the program is similarly varied.

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