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Computer Information Systems and Industrial Management Applications (CISIM)

作者： Miao Liu Dongwei Guo Jie Ma Chunguang Zhou College of Computer Science and TechnologyKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

In this paper, a kind of object representation model global structure constraint is presented, in which objects are described as constellations of points satisfied with their intrinsic specific global structure constraints. The spatial relations among all the patches of small color variations are extracted as shape model and the representative color information of patches are encoded and clustered as color model with color cluster information. Then, in the searching phase, mutual information is used as measurement with optimal algorithm to locate target objects in images by finding out the exactly matched position. In the experiment, we tested the approach on a collection of human face images and the results demonstrated the approach is simple, effective and efficient.

关键词： Mutual information Shape Clustering algorithms Data mining Humans Face Object recognition Computer vision Management information systems Computer industry

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Clonal Selection Based Memetic Algorithm for Job Shop Scheduling Problems

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Journal of Bionic engineering 2008年第2期5卷 111-119页

作者： Jin-hui Yang Liang Sun Heow Pueh Lee Yun Qian Yan-chun Liang College of Computer Science and Technology Jilin University Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun 130012 P. R. China Institute of High Performance Computing Singapore 117528 Singapore Department of Mechanical Engineering National University of Singapore Singapore 117576 Singapore Institute of Electric and Information Engineering Beihua University Jilin 13202 l P. R. China

A clonal selection based memetic algorithm is proposed for solving job shop scheduling problems in this paper. In the proposed algorithm, the clonal selection and the local search mechanism are designed to enhance exploration and exploitation. In the clonal selection mechanism, clonal selection, hypermutation and receptor edit theories are presented to construct an evolutionary searching mechanism which is used for exploration. In the local search mechanism, a simulated annealing local search algorithm based on Nowicki and Smutnicki＇s neighborhood is presented to exploit local optima. The proposed algorithm is examined using some well-known benchmark problems. Numerical results validate the effectiveness of the proposed algorithm.

关键词： job shop scheduling problem clonal selection algorithm simulated annealing global search local search

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Feature Recognition Based on Neural Network

Feature Recognition Based on Neural Network

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International Conference on Computer Science and Information Technology (CSIT)

作者： Rongqing Yi Wenhui Li Duo Wang Hua Yuan Key laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin University Changchun China

An efficient methodology for recognizing features is presented. The part information is taken from the B-rep solid date library then broken down into sub-graph. Once the sub-graphs are generated, they are first checked to see whether they match with the predefined feature library. If so, a feature vector is assigned to them. Otherwise, base faces are obtained as heuristic information and used to restore missing faces, meanwhile, update the sub-graphs. The sub-graphs are transformed into vectors, and these vectors are presented to the neural network which classifies them into feature classes.

关键词： Artificial neural networks Libraries Solids Feature extraction Solid modeling Pattern recognition Cognition

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Application of Aggregated knowledge Concept in Automatic knowledge Acquisition from Chinese Web Pages

Application of Aggregated Knowledge Concept in Automatic Kno...

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International Symposiums on Information Processing (ISIP)

作者： Haiyan Che Jigui Sun Xi Bai Lian Shi Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China Jilin University Changchun Jilin CN

ISBN: (纸本)9781424430536;9780769531519

Proper ontology definition is the prerequisite for efficient knowledge acquisition. For the complex knowledge that could not be described by simple binary relation, we advocated a methodology for aggregated knowledge acquisition, describing how to define the ontology for such aggregated knowledge concept and how to acquire knowledge basing on such definition. Experiment shows that this methodology is effective in automatic knowledge acquisition from Chinese free text.

关键词： knowledge acquisition Web pages Ontologies Natural languages Semantic Web Information processing Application software Sun educational institutions Computer science

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Object Localization Based on Global Structure Constraint Model and Optimal Algorithm

Object Localization Based on Global Structure Constraint Mod...

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Miao Liu Dongwei Guo Jie Ma Xiaohua Liu Dan Li Chunguang Zhou College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

ISBN: (纸本)9781424431977;9780769531618

We present a novel object localization approach based on the global structure constraint model (GSC) and optimal algorithm. In GSC, Objects are described as constellations of points satisfied with their specific global structure constraints. The spatial relations among all the patches having stable color information and their representative color information around patches are encoded. Then, the searching algorithm, i.e. genetic algorithm, is used to locate target objects in images by finding out the exactly matched position. In the experiment, we tested the approach on a collection of human face images and the results demonstrated the approach is simple, effective and efficient.

关键词： computational modeling Image color analysis Face Shape Computer vision Artificial neural networks Image resolution

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AN ATTRIBUTE DISCRETIZATION ALGORITHM BASED ON ROUGH SET AND INFORMATION ENTROPY

AN ATTRIBUTE DISCRETIZATION ALGORITHM BASED ON ROUGH SET AND...

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： HE LIU DA-YOU LIU XIAO-HU SHI YING GAO College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun 130012 China

Attribute discretization is one of the key issues for the Rough Set theory. First, a method is proposed to compute an initial cut points set. The indistinguishable relation of decision tables did not change, and the number of elements in the initial cut points set was reduced. Then, the cut point information entropy was defined to measure the importance of a cut point. Finally, an attribute discretization algorithm based on the Rough Set and information entropy was proposed. The consistence of decision tables did not change, and the mixed decision table was considered, which contains continuous and discrete attributes. The experimental results show that this algorithm is effective and is competent for processing the large-scale datasets.

关键词： Attribute Discretization Rough Set Information Entropy Cut Point

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Detecting DNA-binding Domain From Sequence and Secondary Structure Information Using Kernel-based Technique

Detecting DNA-binding Domain From Sequence and Secondary Str...

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2008 3rd International Conference on Intelligent System and knowledge engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

作者： Wang Fei Chen Lusheng Shanghai key laboratory of Intelligent Information Processing Fudan UniversityPRC Department of Computer Science and EngineeringFudan UniversityPRC Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin Universi

DNA-binding proteins play an important role invarious intra-and extra-cellular *** key in theprotein is DNA-binding region also called DNA-bindingdomain(DBD).However,it is hard to search the DBDsby means of homology search or hidden Markov modelsbecause of a wide variety of the *** this work,we develop a kernel-based machine learning method bycombination of multiple "l-vs-l" binary classifiers forDNA binding domain *** result shows that93.73％ accuracy is achieved for multicategory classifierand no less than 90％ accuracy for each binary *** comparison,our classifier performs better than othermachine learning methods.

关键词： Support vector machines Sequences Hidden Markov models Learning systems DNA knowledge engineering Partial response channels Protein engineering Support vector machine classification Intelligent systems

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Dynamic Policy Updating Based on One-Point Coverage Random Sets Theory

Dynamic Policy Updating Based on One-Point Coverage Random S...

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International Workshop on knowledge Discovery and Data Mining (WKDD)

作者： Wei Da Yan-heng Liu Lian-deng Li Xue-jie Liu Hai-yan Hu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China College of Computer Science and Technology Jilin University Changchun Jilin China

Aiming at the dynamic policy trigger problem in policy based network management, this thesis first introduces the uncertain information generated by one-point coverage random sets theory and also the unified framework of fuzzy information. On the basis of which, according to the feature of policy based network management, a model used to update the predicted information using present known information, experience, and knowledge is designed. At the same time, this thesis put forward that, take the semblance of policy as constant probability in product space conditional event algebra, so as to execute information fusion of multiple sets of related policy. In the end, compared with the policy based inference system and then analyze the result.

关键词： Set theory Resource management Fuzzy set theory Technology management Fuzzy sets knowledge management Algebra Environmental management Probability Probabilistic logic

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Notice of Retraction: Experimental Research on a New Authentication Protocol for Wireless Communication Network Based on WiMAX

Notice of Retraction: Experimental Research on a New Authent...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Ruixue Li Zhiyi Fang Peng Xu Wei Xiao Wei Wang College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China School of Computer Northeast Normal University Changchun China

This article has been retracted by the publisher.

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Research on Hiberarchy Trusted Network Based on the Grade Division

Research on Hiberarchy Trusted Network Based on the Grade Di...

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2008 3rd International Conference on Intelligent System and knowledge engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

作者： Jian Wang Yanheng Liu Jing Zhang Jianqi Zhu Tianzhe Dong College of Computer Science and Technology Jilin UniversityChangchunJilin130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchunJilin130012China

A framework of hiberarchy trusted network basedon the grade division was put forward,and thepartition rules of trusted attributes as well as themethods of grade division were explained in ***,the potential applications of this frameworkin trusted network were discussed,and the accessprocedure of terminals in hiberarchy trusted networkwas given based on the existing research *** show that by the proposed framework,notonly the safety and reliability of network can beensured,but also the flexibility of ways to accessnetwork is strengthened,and that the framework canprovide supports for interoperability of differentequipment suppliers.

关键词： knowledge engineering Information security Intelligent systems Intelligent networks Network servers Communication system security Data security Access protocols Routing Transport protocols

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