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IEEE/WIC International Conference on Web Intelligence, WI 2003

作者： Huang, Jiajin Liu, Chunnian Ou, Chuangxin Yao, Y.Y. Zhong, N. Mutimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina ReginaSKS4S 0A2 Canada Department of Information Engineering Macbashi Institute of Technology Maebashi-City371-0816 Japan

ISBN: (纸本)0769519326

The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. We apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions. © 2003 IEEE.

关键词： Data mining

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Solving dynamic TSP with evolutionary approach in real time

Solving dynamic TSP with evolutionary approach in real time

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Congress on Evolutionary Computation

作者： Aimin Zhou Lishan Kang Zhenyu Yan State Key Laboratory of Software Engineering Wuhan University of China Wuhan China Department of Computer Science China University of Geoscience Wuhan China

ISBN: (纸本)0780378040

Many real world optimization problems are time-dependent and some of them can be modeled by the dynamic TSPs (DTSPs). A DTSP is harder than a general TSP, which is a NP-hard problem, because the city number and the cost matrix of a DTSP are time varying. Although DTSP is a very common and important model in real world systems, few literatures have discussed this related issues. There are many open questions about DTSP urgently needed to be answered. We first give a mathematical model and the optimization objective for DTSP. Then we discuss why evolutionary algorithms (EAs) are effective for solving DTSPs and give some key points for designing efficient DTSP EAs. By defining three dynamic operators, we proposed an evolutionary algorithm for DTSPs. The experiments show the new algorithm is suitable for solving DTSPs. At the end, we also give some preliminary ideas for reinforcing the efficiency of EAs for DTSPs.

关键词： Cities and towns Costs Mathematical model computer science software engineering Geology NP-hard problem Mobile computing Military computing Military satellites

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A fast algorithm on finding the non-dominated set in multi-objective optimization

A fast algorithm on finding the non-dominated set in multi-o...

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Congress on Evolutionary Computation

作者： Lixin Ding Sanyou Zeng Lishan Kang State Key Laboratory of Software Engineering Wuhan University of China Wuhan China Department of Computer Science China University of Geoscience Wuhan China

ISBN: (纸本)0780378040

A fast algorithm is proposed to find the nondominated set for multiobjective optimization problems in this paper. Two accelerated techniques are adopted in the algorithm. One is that the algorithm can yield an integer rank set after it indexes the search space. Based on this, the goal is changed into determination of the nondominated set of the integer rank set. The other is that the nondominated check sequence follows that the likely nondominated members are first checked, and that the check process is stopped when the remaining members in the nondominated check sequence are dominated. The computational complexity of the new algorithm is analyzed theoretically. Experimental results show that the new method performs much better than KLP (a famous effective algorithm) when the search space contains a large nondominated set. Moreover, the two new techniques introduced in this paper are very useful for multiobjective evolutionary algorithms (MOEAs) to improve the computational speed.

关键词： computer science Genetic algorithms Geology Evolutionary computation Sorting Laboratories Acceleration Computational complexity Algorithm design and analysis Computational modeling

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A new multiobjective evolutionary algorithm: OMOEA

A new multiobjective evolutionary algorithm: OMOEA

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Congress on Evolutionary Computation

作者： San You Zeng LiXin Ding Yuping Chen LiShan Kang Department of Computer Science China University of Geoscience Wuhan Hubei China Department of Computer Science Zhuzhou Institute of Technology Zhuzhou Hunan China State Key Laboratory of Software Engineering Wuhan University of China Wuhan Hubei China

ISBN: (纸本)0780378040

A new algorithm is proposed to solve constrained multiobjective problems. The constraints of the MOPs are taken account of in determining Pareto dominance. As a result, the feasibility of solutions is not an issue. At the same time, it takes advantage of both the orthogonal design method to search evenly, and the statistical optimal method to speed up the computation. The output of the technique is a large set of solutions with high precision and even distribution. Notably, for an engineering problem WATER, it finds the Pareto-optimal set, which was previously unknown.

关键词： Evolutionary computation computer science Geology Design methodology Design optimization Genetic algorithms Algorithm design and analysis Laboratories software engineering Sorting

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PromisQoS: an architecture for delivering QoS to high-performance applications on Myrinet clusters

PromisQoS: an architecture for delivering QoS to high-perfor...

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Conference on Local computer Networks (LCN)

作者： J. Neelamegam S. Chakravarthi M. Apte A. Skjellum High Performance Computing Laboratory Department of Computer Science and Engineering Mississippi State University MS USA MPI Software Technology Inc. Starkville MS USA

Clusters of workstations are being extensively used for solving computationally intensive scientific problems. However, there is limited support for quality of service (QoS) based distributed computing on commercial off- the-shelf (COTS) clusters. This limitation has restricted successful deployment of distributed real-time high-performance computing applications to customized and dedicated embedded multi-processor systems. This paper describes research work that attempts to provide a cluster platform that can guarantee access to computational and communication resources to distributed applications. The authors have developed PromisQoS, an architecture that supports execution of hard real-time distributed applications on a Linux cluster while providing high-throughput and low-latency communication using Myrinet. PromisQoS consists of the following major components - Hare, BDM-RT and Turtle. Hare is a prototype implementation of time-based QoS channels specified by the real-time message passing interface (MPI/RT 1.1) standard. BDM-RT is a low-level messaging library on Myrinet that provides deterministic communication latency and bandwidth on Myrinet. Turtle, a variant of RT-Linux, is the real-time operating system that provides guaranteed computation time. This work demonstrates that it is possible to deploy hard real-time distributed applications on COTS clusters and underlines the significance of the MPI/RT API in the realm of distributed high-performance computing applications that require QoS.

关键词： Quality of service Distributed computing computer architecture Real time systems computer applications Workstations Embedded computing Linux Prototypes Message passing

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XML and the semantic web: What is the future?

Proceedings of the 36th Annual Hawaii International Conferen...

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Proceedings of the 36th Annual Hawaii International Conference on System sciences, HICSS 2003 2003年 123-124页

作者： Chen, P. Bryan, George Vouk, Mladen Potok, Thomas E. Elmore, Mark Department of Computer Science Louisiana State University United States Centre for Advanced Systems Engineering University of Western Sydney Australia Department of Computer Science North Carolina State University United States Applied Software Engineering Research Group Oak Ridge National Laboratory United States

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Online recommendation based on customer shopping model in e-commerce 03

Online recommendation based on customer shopping model in e-...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Junzhong Ji Zhiqiang Sha Chunnian Liu Ning Zhong College of Computer Science and Technology Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi Japan

ISBN: (纸本)0769519326

As e-commerce developing rapidly, it is becoming a research focus about how to capture or find customer's behavior patterns and realize commerce intelligence by use of Web mining technology. Recommendation system in electronic commerce is one of the successful applications that are based on such mechanism. We present a new framework in recommendation system by finding customer model from business data. This framework formalizes the recommending process as knowledge representation of the customer shopping information and uncertainty knowledge inference process. In our approach, we firstly build a customer model based on Bayesian network by learning from customer shopping history data, then we present a recommendation algorithm based on probability inference in combination with the last shopping action of the customer, which can effectively and in real time generate a recommendation set of commodity.

关键词： Data mining Business Knowledge representation Collaboration Web mining Uncertainty Bayesian methods History Inference algorithms Filtering

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Attribute reduction of rough sets in mining market value functions 03

Attribute reduction of rough sets in mining market value fun...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Jiajin Huang Chunnian Liu Chuangxin Ou Y.Y. Yao N. Zhong Mutimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina Regina SAS Canada Department of Information Engineering Macbashi Institute of Technology Maebashi Japan

ISBN: (纸本)9780769519326

关键词： Rough sets Set theory Databases Entropy Laboratories computer science Boosting Internet Data mining Predictive models

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Website evolution based on statistic data

Website evolution based on statistic data

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IEEE Workshop on Future Trends of Distributed Computing Systems

作者： Lei Xu Baowen Xu Zbenqiang Chen Huowang Chen Department of Computer Science & Engineering Southeast University Nanjing China State Key Laboratory of Software Engineering Wuhan University Wuhan China School of Computer Science National University of Defense Technology Changsha China Southeast University Nanjing Jiangsu CN Dept. of Comput. Sci. & Eng. Southeast Univ. Nanjing China

ISBN: (纸本)0769519105

Maintenance and evolution are critical for website since the requirements often change, the developing cycle is short, while the life cycle is long. In order to make progress in this area, we focus on the users' responses and attitudes. So we begin our work at the log files on the side of website server, gathering the users' visiting information and the server's responses. Thus we obtain our weighted structure model. Then, we analyze and discuss such information to identify the key pages, the predominate pages and the users' visiting patterns. And we can improve the testing efficiency based on these knowledge. All these will help to improve the structure of the site, fulfill the functionality of the site, and enhance users' visiting efficiency.

关键词： Statistics computer science Laboratories software engineering File servers Information analysis Data mining History Uniform resource locators Statistical analysis

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Real-time embedded system support for the BTeV level 1 muon trigger

Real-time embedded system support for the BTeV level 1 muon ...

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2003 IEEE Nuclear science Symposium Conference Record - Nuclear science Symposium, Medical Imaging Conference

作者： Haney, Michael J. Beauregard, D. Iyer, R. Kalbarczyk, Z. Liu, Q. Wang, L. Haney, M. Selen, M. Mosse, D. Shigiltchoff, O. Chopade, R. Hovey, L. Jung, M. Messie, D. Oh, J. Stone, S. Bapty, T. Neema, S. Nordstrom, S. Shetty, S. Vashishtha, S. Yao, D. Sheldon, P. Vaandering, E. Butler, J. Gottschalk, E. Kowalkowski, J. Votava, M. Appel, J. University of Illinois Urbana IL 61801 United States Des./Validation Reliable N.S.R.G. University of Illinois High Energy Physics Group Department of Physics University of Illinois Department of Computer Science Coll. in High Sch. Educ. Program University of Pittsburgh Department of Electrical Engineering Syracuse University High Energy Physics Group Department of Physics Syracuse University Inst. for Software Intgd. Systems Vanderbilt University Department of Physics BTeV Group Vanderbilt University BTeV Collaboration Particle Physics Division Fermi Natl. Accelerator Laboratory Computing Division Fermi Natl. Accelerator Laboratory Fermilab Education Office Fermi Natl. Accelerator Laboratory

The Level 1 Muon Trigger subsystem for BTeV will be implemented using the same architectural building blocks as the BTeV Level 1 Pixel Trigger: pipelined field programmable gate arrays feeding a farm of dedicated processing elements. The muon trigger algorithm identifies candidate tracks, and is sensitive to the muon charge (sign);candidate dimuon events are identified by complementary charge track-pairs. To insure that the trigger is operating effectively, the trigger development team is actively collaborating in an independent multi-university research program for reliable, self-aware, fault adaptive behavior in real-time embedded systems (RTES). Key elements of the architecture, algorithm, performance, and engineered reliability are presented.

关键词： Embedded systems

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