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CORBA/Java technology based legacy systems reusability research and design

CORBA/Java technology based legacy systems reusability resea...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Hai-Yun Fang Jian-Chao Zeng Yin-Zhang Guo Division of System Simulation and Computer Application Taiyuan Heavy Machinery Institute Taiyuan China

In order to dynamically integrate and rebuild information systems under a distributed network computing environment, the original information systems, i.e. legacy systems, must be reused. This paper researches legacy system reusable technology, and proposes a mechanism of componentized encapsulating legacy system inheritable parts using distributed object CORBA technology and Java programming technology. An example of the reuse of simulation models and simulation tools of computer simulation systems is discussed.

关键词： Java Encapsulation Object oriented modeling Computer simulation Isolation technology Computational modeling Information systems Distributed computing Modems Computer networks

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A framework of AIS based pattern classification and matching for engineering creative design

A framework of AIS based pattern classification and matching...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ren-Bin Xiao Lei Wang Yong Liu CAD Center Wuhan Huazhong University of Science and Technology China

The artificial immune system (AIS) is a newly emerged biological computing technology that draws inspiration from vertebrate immune systems. From the computation point of view, AIS is powerful at learning and recognition; hence, a novel paradigm for machine learning and pattern recognition forms. Engineering creative design can be viewed as constraint satisfaction problems, which is NP-hard in essence, thereby it is generally hard for classical methods to solve. Since AIS has great potentials in solving hard and complex problems, it motivates the authors to explore the field of creative mechanism pattern synthesis, one of the most challenging fields in engineering creative design, with AIS. Specially, an engineering framework of AIS based pattern classification and matching is proposed, and the preliminary experiment results show the validity of the proposed method.

关键词： Pattern classification Pattern matching Design engineering Power engineering and energy machine learning Pattern recognition Artificial immune systems Computers Immune system Biology computing

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A new equation of saturation in RGB-to-HSI conversion for more rapidity of computing

A new equation of saturation in RGB-to-HSI conversion for mo...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Jian-Feng Li Kaun-Quan Wang D. Zhang Department of Computer Science and Engineering Harbin Institute of Technology Harbin China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

In this paper, a new equation of saturation In RGB-to-HSI conversion is proposed on the basis of HSI color space, aimed to provide more rapidity of computing in real-time control systems due to fewer operations needed. The theoretical validity of new conversion equation is studied and testified. Besides its significant advantages over traditional equation on temporal performance, better mapping performances is mathematically explained as a minor advantage. It is shown in illustrative experiments that average 30% time was saved in computing when using new saturation conversion equation instead of traditional one.

关键词： Equations Tongue Real time systems Control systems Color Image converters Medical control systems Humans Optical reflection Space technology

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A niching negative selective genetic algorithm for self-nonself discrimination in a computer

A niching negative selective genetic algorithm for self-nons...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ya-Jing Zhang Chao-Zhen Hou Fang Wang Li-Min Su Department of Automatic Control Beijing Institute of Technology Beijing China

Presents a niching negative selective genetic algorithm for self-nonself discrimination in a computer. From the view point of biological immune principles, the advantages and existing problems of the negative selection algorithm as a distributed anomaly detection approach are introduced. The problem of compounding negative selection with a genetic algorithm is discussed. Experiments report that the algorithm proposed shows diversity, less time of generating detectors and efficiency.

关键词： Genetic algorithms Immune system Biology computing Detectors Humans Viruses (medical) Computer viruses Chaos Automatic control Protection

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Iris verification based on fractional Fourier transform

Iris verification based on fractional Fourier transform

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Li Yu Kuan-Quan Wang Cheng-Fa Wang D. Zhang Department of Computer Shence and Technology Harbin Institute of Technology Harbin China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

Iris verification is one of the biometrics verification technologies. This paper proposes a new iris verification method based on fractional Fourier transform. Through comparing two irises' fractional Fourier transform, we can distinguish the people whether they are the same person. At last, we introduce some applications of iris verification used for security in e-commerce.

关键词： Iris Fourier transforms Biometrics Authentication Fingerprint recognition Kernel Geometry Data security Databases Biomedical optical imaging

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Power quality disturbance classification based on rule-based and wavelet-multi-resolution decomposition

Power quality disturbance classification based on rule-based...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Gang Zheng Mei-Xiang Shi Ding Liu Jian Yao Zhu-Mei Miao Graduate school of Automation and Information Engineering Xi''an University of Technology China Shanxi Electrical Power Corporation China

A method using wavelet-multi-resolution decomposition which combines frequency-domain with time-domain analysis for power distribution feature extraction is proposed, and a scalability rule-based system is also propos... 详细信息

ISBN: (纸本)0780375084

关键词： Power quality Feature extraction Wavelet transforms Wavelet analysis Time domain analysis Signal generators Frequency domain analysis Power system analysis computing Signal resolution Voltage fluctuations

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Approximate reasoning based on granular computing in granular logic

Approximate reasoning based on granular computing in granula...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Qing Liu Qun Liu Department of Computer Science & Engineering University of Nanchang Nanchang China School of Computer Chongqing University of Posts and Telecommunications Chongqing China

The paper proposes a granular logic which defines the syntax and semantics of the logic. The formula in the logic is a granule or any Boolean combination of the granules. We discuss a reasoning based on the granular computing. The reasoning is used in expert systems, and is also an extension of matching reasoning in production rules. The inclusion and closeness degree between granules are defined in the paper. Finding the match among granules satisfying the given closeness degree completes the approximate reasoning. The paper defines the granular operation based on both logic and the set theory. Finally, the matching reasoning and deductive inference is illustrated with real examples.

关键词： Set theory Expert systems Trademarks Information analysis Logic programming Computer science Boolean functions Production systems Data analysis Decision trees

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Clonal operator and antibody clone algorithms

Clonal operator and antibody clone algorithms

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Hai-Feng Du Li-Cheng Jiao Sun-An Wang Key laboratory of radar signal processing Xidian University Xi'an China Key Laboratory of Radar Signal Processing Xidian University Xi'an China School of Mechanical Engineering Xi'an Jiaotong University Xi'an China

Based on clonal selection theory, the main mechanisms of a clone in the immune system, which are explored in the field of artificial intelligence, are analyzed. An artificial immune system algorithm, antibody clone algorithm, is put forward. Compared with an improved gene algorithm, the new algorithm is shown to be an evolutionary strategy capable of solving complex machine learning tasks, like multi-modal optimization. Using Markov chain theories, it is proved that the antibody clone algorithm is convergent.

关键词： Cloning Artificial intelligence Signal processing algorithms machine learning algorithms Immune system Artificial immune systems Genetic mutations Evolution (biology) Stochastic processes Biology computing

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Comparative study on various pruning algorithms for RNN. I. Complexity analysis

Comparative study on various pruning algorithms for RNN. I. ...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： J. Sum Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong China Laboratory for Internet Software Technologies Chinese Academy and Sciences Beijing China

Owing to the computational complexity requirement, pruning a fully connected recurrent neural network (RNN) would be ineffective for large size RNN. In this paper several non-heuristic pruning algorithms for fully connected RNN are investigated, some of them are extended from extended Kalman filter based approaches and some of them are based on weight magnitude, together with some techniques on the pruning procedures. Their effectiveness, such as on their computational complexities, network sizes and generalization abilities, is evaluated and presented. This paper presents the issue on computational complexity.

关键词： Recurrent neural networks Algorithm design and analysis Neural networks Computer networks Computational complexity Weight measurement Laboratories Internet Computational efficiency High performance computing

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Correlation based generating rules for fuzzy classification

Correlation based generating rules for fuzzy classification

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Da-Zhong Liu Xi-Zhao Wang J.W.T. Lee School of Mathematics and Computer Science Hebei University Baoding China Department of Computing Hang Kong Polytechnic University Kowloon Hong Kong China

Automated acquisition of rules is a very important issue in knowledge engineering. In this paper, a new method for generating fuzzy rules from numerical data for fuzzy classification problems based on the correlation analysis between two fuzzy sets has been proposed. Experimental results and comparison with Yuan and Shaw's method are presented as well.

关键词： Fuzzy sets Decision trees Fuzzy systems Fuzzy neural networks Knowledge engineering Knowledge acquisition Classification tree analysis Neural networks Mathematics Computer science

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