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K-harmonic means data clustering with Differential Evolution

K-harmonic means data clustering with Differential Evolution

引用

International Seminar on Future BioMedical Information engineering, FBIE

作者： Ye Tian Dayou Liu Hong Qi Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN

K-harmonic means clustering algorithm (KHM) is a center-based like K-means (KM), which uses the harmonic averages of the distances from each data point to the centers as components to its performance function and overcomes KM's one major drawback that is highly dependent on the initial identification of elements that represent the clusters. However, KHM is also easily trapped in local optima. In this paper, a hybrid data clustering algorithm DEKHM based on Differential Evolution (DE) and KHM is proposed, which makes full use of the merits of both algorithms. The DEHKM algorithm not only helps KHM clustering escape from local optima but also overcomes the shortcoming of the slow convergence speed of the DE algorithm. The experiment results on three popular data sets illustrate the superiority and the robustness of the DEKHM clustering algorithm.

关键词： Clustering algorithms Iterative algorithms knowledge engineering educational institutions Computer science educational technology Laboratories High performance computing Computer science education Data mining

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The design and analysis of distributed authentication scheme in VANET

The design and analysis of distributed authentication scheme...

引用

IEEE Youth Conference on Information, computing and Telecommunication, YC-ICT

作者： Jian Wang Yanheng Liu Yu Jiao Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China Jilin University Changchun Jilin CN

Vehicular ad hoc networks (VANETs) have many new characteristics unlike traditional network, such as centriclessness, mobility and multi-hop transmission, which invalidate conventional key managements. The fast development and successful application of trusted computing technology provide a potential solution to achieve effective authentication and trust evaluation. According to the VANETs with hierarchy organization structure like tank group, a new authentication and trust evaluation framework is proposed based on trusted computing technology, the concepts of "trusted attribute" and "trusted grade" are introduced, and the key management architecture as well as authentication process of mobile node are explained in detail. Moreover, the real applications of the presented framework in tank fight are discussed, and the trust evaluation methods and its argumentations in the presented framework are given.

关键词： Authentication Frequency Wire Electronic packaging thermal management Circuit simulation Scattering parameters Bonding Integrated circuit packaging Chip scale packaging Equivalent circuits

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A Combined Method Based on Extension Rule and Resolution

A Combined Method Based on Extension Rule and Resolution

引用

International Conference on Artificial Intelligence and Computational Intelligence (AICI)

作者： Xia Wu Haihong Yu Ying Li College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

Theorem proving based on the extension rule is a new reasoning method. It is, in a sense, potentially a complementary method to resolution based method. HRIER is a very fast extension rule algorithm with reduction rules and heuristic function. DR is a fast ordering-based restricted resolution method in proposition logic. In order to make best use of the respective characteristic of the extension rule method and resolution method, this paper proposes a combined algorithm CDE based on HRIER and DR. And then the soundness and completeness of it are proved. The experiment results show CDE is a fast SAT solver.

关键词： Erbium Logic Artificial intelligence Computer science Mathematics Computational intelligence educational institutions educational technology Laboratories knowledge engineering

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Impact of human factors on email worm propagation

Impact of human factors on email worm propagation

引用

IEEE Symposium on Web Society, SWS

作者： Xin Sun Yanheng Liu Jian Wang Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin China Jilin University Changchun Jilin CN

One of the most prevalent security problems in network is the rampant propagation of email worms. Unlike active worms, the email worm has to be activated by user action in order to spread further. This paper deals with modeling email worm propagation by analyzing and combining human factors. Impact of human factors on email worm propagation is investigated and discussed. Results of email worm propagation under a practical simulation environment show that the presented model well describes the email worm behavior. Conclusions are also drawn that infection probability decreases during evolution of worm infection due to the security consciousness rising, and highly connected nodes are more susceptible.

关键词： Human factors Computer worms Network topology Security Electronic mail educational institutions Computer science educational technology Laboratories Computer networks

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Heuristics Propositional Extension Rule Method

Heuristics Propositional Extension Rule Method

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

Theorem proving based on the extension rule is a new reasoning method. Based on the extension rule algorithm RIER, this paper presents a more efficient algorithm HRIER, which uses the heuristic strategy to guide the choosing of restricted searching space. The experiment results show HRIER improves the efficiency a lot, meanwhile it keeps the essence characteristic of extension rule method, namely it is still potentially a complementary method to resolution based methods.

关键词： Erbium Computer science Mathematics educational institutions educational technology Laboratories knowledge engineering Computer science education Control engineering education Frequency

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Ensemble methods for spectral-spatial classification of urban hyperspectral data

Ensemble methods for spectral-spatial classification of urba...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xin-Lu Wang Björn Waske Jón Atli Benediktsson Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Faculty of Electrical and Computer Engineering University of Iceland Reykjavik Iceland

Classification of hyperspectral data with high spatial resolution from urban areas is investigated. The approach is an extension of existing approaches, using both spectral and spatial information for classification. The spatial information is derived by mathematical morphology and principal components of the hyperspectral data set, generating a set of different morphological profiles. The whole data set is classified by the Random Forest algorithm. However, the computational complexity as well as the increased dimensionality and redundancy of data sets based on morphological profiles are potential drawbacks. Thus, in the presented study, feature selection is applied, using nonparametric weighted feature extraction and the variable importance of the random forests. The proposed approach is applied to ROSIS data from an urban area. The experimental results demonstrate that a feature reduction is useful in terms of accuracy. Moreover, the proposed approach also shows excellent results with a limited training set.

关键词： Hyperspectral imaging Feature extraction Radio frequency Hyperspectral sensors Morphology Remote sensing Data mining Image reconstruction knowledge engineering Spatial resolution

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ON RESEARCH OF OPTIMIZATION STRATEGY FOR DYNAMIC BACKTRACKING

ON RESEARCH OF OPTIMIZATION STRATEGY FOR DYNAMIC BACKTRACKIN...

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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： HONG-BO LI ZHAN-SHAN LI YANG AI HUI-YING DU Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education Jilin University Changchun 130012 College of Computer Science and Technology Jilin University Changchun 130012

Constraint Satisfaction Problem is an important branch of Artificial Intelligence, one typical algorithm to solve Constraint Satisfaction Problem is the searching algorithm based on backtracking. The Dynamic Backtracking algorithm proposed by Ginsberg in 1993 is an efficient algorithm which uses backtracking integrates with constraint propagation. Now, according to the basic idea of dynamic backtracking, we put forward four implementary strategies and demonstrate that the efficiency and backtracking times of these four strategies are different The most efficient strategy of these four strategies is the Strategy2.1,it can significantly improve the efficiency and reduce the backtracking times. Anatomizing the results of experiments, we find the differences between these four strategies, then we propose an heuristic rules to improve dynamic backtracking algorithm on selecting a variable that has not been instantiated - Successful Assignment Principle. According to the Failure First Principle, we propose an optimization strategy that combine the Successful Assignment Principle with the Failure First Principle - Strategy 2.4. What is more ,the final test results show that efficiency of Strategy 2.4 is 1.595 ～2.227 times more than the that of Strategy 2.1.

关键词： Constraint satisfaction problem Dynamic backtracking

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Extending the Expression Ability of LAV Using Ontology Technique

Extending the Expression Ability of LAV Using Ontology Techn...

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International Conference on Information Technology and Computer Science, ITCS

作者： Hao Liang Fei Ren Wanli Zuo Aiqi Zhang College of Computer Science and Technology Jilin University Changchun China Department of Information Changchun Taxation College Changchun China Engineering of the Ministry of Education Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

Information fusion is an interdisciplinary research field aiming to combine and merge the information or data from different information sources. The output of information fusion system is a global schema through which users can get information or data from different dispersed sources. To generate a deep Web information fusion system is facing many challenges, because the nature of Web is different from those of traditional databases and multi-databases. The major challenge in a deep Web information fusion system is the data source modeling problem, which determine the technical method of the whole system. The query interfaces provided by the deep Web are the clues to disclose the hidden schemas. But the complicated semantic relationships in the query interfaces lead to the lower generality and ability of local as view (LAV) method in the traditional information fusion system. We present an approach that the semantic relationships between semantic related attributes can be evaluated by the WordNet, a kind of ontology instrument. The experiment is carried out on the famous dataset, and the result shows the efficiency of ontology extended LAV of building mappings between local views and mediator schema.

关键词： Ontologies Databases Computer science educational institutions educational technology Fusion power generation Information technology Laboratories knowledge engineering Computer science education

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A New Framework for Accessing Trusted Network

A New Framework for Accessing Trusted Network

引用

International Workshop on Intelligent Networks and Intelligent Systems (ICINIS)

作者： Jian Wang Yanheng Liu Xiangpeng Jia Xiaomin Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN China Mobile Shenyang Branch Corporation Shenyang China

Trusted network connect (TNC), whose goal is to improve network security from source, now has become hot topic in security domain. We proposed a new access model for the terminals without meeting the requirements in TNC specifications. Also we discussed the work flow and communication process of presented model. Simulations show that the feasibility of the presented model used in the scenario where terminals fall short of network demand can pass the access authentication of network with TNC specifications.

关键词： Authentication Computer networks Protection Computer architecture Computer security Intelligent networks Data security Intrusion detection Access control Peer to peer computing

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Modeling Email Worm Propagation Using Game Theory

Modeling Email Worm Propagation Using Game Theory

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The First International Conference on Multimedia Information Networking and Security(第一届国际多媒体网络信息安全会议 MINES 2009)

作者： Xin Sun Yanheng Liu Jian Wang College of Computer Science and Technology Jilin University Changchun Jilin 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun Jilin 130012 China

One of the most prevalent security problems in network is the rampant propagation of email worms. In this paper game theory is suggested as a method for modeling and computing the probabilities of expected behaviors of email users in the email worm propagation process. The game situation models the actions of the email users under the condition that at the time they open an attachment, the system may be infected. Results of email worm propagation simulation under a practical simulation environment show that well camouflaged worms spread more quickly and survive longer than naive worms, moreover, user's security consciousness and the update frequency of anti-virus software make great impact on email worm propagation.

关键词： Netwok security Game theory Email worm propagation User behavior

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