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Web Intelligence and Intelligent Agent Technology Workshops (WI-IAT)

作者： Huijie Zhang Jigui Sun Changsong Qi Nan Lv College of Computer Northeast Normal University Changchun China College of Computer Science & Technology Jilin University Changchun China College of Computer Science & Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University China

This paper presents a fast method to construct the simplified terrain model with the multi-resolution. In this method, we adopt the normal quad-tree hierarchy to subdivide the original terrain surface into the multi- resolution levels. For the sake of implementing the compressive storage and the efficient index for the elevation data, a connotative hierarchy is proposed and its corresponding index strategies are deduced. On the basis of the connotative hierarchy, we focus on resolving the crack problem of the simplified model. We firstly create the space filling curve during the simplification process to accelerate the search for the potential cracks. Afterwards, the different approaches are utilized to process the cracks in terms of the dissimilar terrain features. For this reason, we put forward an evaluation function that can selfadaptively identify the terrain feature according to the normal vector angle of the adjacent nodes in the connotative hierarchy. Consequently, there are not redundant triangles in our seamless multi-resolution terrain model. The proposed approaches are experimented on the real data and the results show that our method is relatively efficient and robust. Besides, the seamless simplified model has less number of triangles than the other common algorithm.

关键词： Multiresolution analysis Educational institutions Intelligent agent Computer science Surface cracks Filling Conferences Acceleration Robustness Sun

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Force-Based Incremental Algorithm for Mining Community Structure in Dynamic Network

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Journal of Computer Science & Technology 2006年第3期21卷 393-400页

作者：杨博刘大有 College of Computer Science and Technology & Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 P.R. China

Community structure is an important property of network. Being able to identify communities can provide invaluable help in exploiting and understanding both social and non-social networks. Several algorithms have been developed up till now. However, all these algorithms can work well only with small or moderate networks with vertexes of order 104. Besides, all the existing algorithms are off-line and cannot work well with highly dynamic networks such as web, in which web pages are updated frequently. When an already clustered network is updated, the entire network including original and incremental parts has to be recalculated, even though only slight changes are involved. To address this problem, an incremental algorithm is proposed, which allows for mining community structure in large-scale and dynamic networks. Based on the community structure detected previously, the algorithm takes little time to reclassify the entire network including both the original and incremental parts. Furthermore, the algorithm is faster than most of the existing algorithms such as Girvan and Newman＇s algorithm and its improved versions. Also, the algorithm can help to visualize these community structures in network and provide a new approach to research on the evolving process of dynamic networks.

关键词： incremental algorithm community structure dynamic network

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Text Categorization Method Based on Improved Mutual Information and Characteristic Weights Evaluation Algorithms

Text Categorization Method Based on Improved Mutual Informat...

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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Zhili Pei Xiaohu Shi Maurizio Marchese Yanchun Liang College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun China College of Mathematics & Computer Science National University of Inner Mongolia Tongliao China Department of Information and Communication Technology University of Trento Povo TN USA

The improvement of text categorization by statistical methods can be performed from two main directions, namely the feature selection and the evaluation of characteristic weights. In this paper, we propose an enhanced text categorization method based on a modified mutual information algorithm and evaluation algorithm of characteristic weights which improves both aspects. The proposed method is applied to the benchmark test set Reuters-21578 Top10 to examine its effectiveness. Numerical results show that the precision, the recall and the value of F1 of the proposed method are all superior to those of existing conventional methods.

关键词： Text categorization Mutual information Frequency shift keying Frequency estimation Computer science Statistical analysis Testing Educational institutions Communications technology Performance evaluation

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Research of mobile IPv6 application based on diameter protocol

Research of mobile IPv6 application based on diameter protoc...

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First International Multi- Symposiums on Computer and computational Sciences, IMSCCS'06

作者： Da, Wei Yanheng, Liu Xuegang, Yu Xiaodong, Li Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education China

ISBN: (纸本)0769525814

The Diameter protocol is recommended by IETF as AAA (Authentication, Authorization and Accounting) protocol criterion for the next generation network, Because the IPv6 protocol will be widely applied in the intending all-IP network, mobile IPv6 application based on Diameter protocol will play more important role in authentication, authorization and accounting. In this paper, the implementation of mobile node's authentication and authorization is presented with PANA (Protocol for carrying Authentication for Network Access) protocol. It is based on Diameter protocol for the application expansion of mobile IPv6, which provides the supports to the basic AAA process of mobile IPv6 nodes and dynamic Home Agent distribution in the visited network and the secret key distribution. Finally, the correctness of this application expansion is testified with developing the design of protocol based on OpenDiameter. © 2006 IEEE.

关键词： Mobile telecommunication systems

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Experimental study of the three key issues of multi-auctioneer model in computer grid

Experimental study of the three key issues of multi-auctione...

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18th IASTED International Conference on Parallel and Distributed Computing and Systems

作者： Han, Xiao Fang, Zhiyi Wang, Wanyu Xu, Fengyuan Huang, Mengzhou School of Economics and Information Systems School of Computer Science and Technology Key Laboratory Symbolic Computation and Knowledge Engineering Education Ministry

ISBN: (纸本)9780889866386

By means of introducing multi-auctioneer model, resources in the computational economic grid can be managed and allocated like in the auction. We research and put forward the corresponding solve schemes of three key issues of auctioneer system: preventing auctioneer from cheating, selection of auctioneer, setting of trading prices, and use computational grid modeling and simulation tools GridSim to simulate computational grid environment in the experiment which uses multiauctioneer system to manage and schedule, then we analyze the results of experiment in different conditions, and validate the feasibility of a multi-auctioneer system in computational grid.

关键词： computational economic grid multi-auction system election of auctioneer

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Design for network camera based on DSP

Design for network camera based on DSP

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2006 International Conference on Hybrid Information Technology, ICHIT 2006

作者： Zhezhou, Yu Yuchen, Xie Congying, Lv Chunguang, Zhou Faner, Meng Lei, Liu Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China

ISBN: (纸本)0769526748

The hardware design of the DSP-based network camera is described in this paper which includes the implementation of CCD camera, DSP, Flash, SDRAM, CPLD, and Ethernet. The program of JPEG2000has been tested on the designed board and the result turns out to be good. It'll be implemented as a network camera with real-time video compression and transmission which can be connected to the Ethernet. © 2006 IEEE.

关键词： Cameras

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Extracting initial and reliable negative documents to enhance classification performance 1

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PAKDD 2006 International Workshop on knowledge Discovery in Life Science Literature, KDLL 2006

作者： Wang, Hui Zuo, Wanli Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China

ISBN: (数字)9783540328100

ISBN: (纸本)3540328092

Most existing text classification work assumes that training data are completely labeled. In real life, some information retrieval problems can only be described as learning a binary classifier from a set of incompletely labeled examples, where a small set of labeled positive examples and a very large set of unlabeled ones are provided. In this case, all of the traditional text classification methods can't work properly. In this paper, we propose a method called Weighted Voting Classifier, which is an improved 1-DNF algorithm. Experimental results on the Reuters-21578 set show that our algorithm Weighting Voting Classifier outperforms PEBL and one-class SVM in terms of F measure. Weighting Voting Classifier can achieve high F score when comparing with PEBL and one-class SVM. Furthermore, the reduction of iterations is 2.26 when comparing the method of PEBL with ours. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Information retrieval

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Effective pruning algorithm for least squares support vector machine classifier

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Jisuanji Yanjiu yu Fazhan/Computer Research and Development 2007年第7期44卷 1128-1136页

作者： Yang, Xiaowei Lu, Jie Zhang, Guangquan School of Mathematical Sciences South China University of Technology Guangzhou 510641 China Faculty of Information Technology Sydney University of Technology NSW 2007 Australia Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Changchun 130012 China

A well-known drawback in the least squares support vector machine (LS-SVM) is that the sparseness is lost. In this study, an effective pruning algorithm is developed to deal with this problem. To avoid solving the primal set of linear equations, the bottom to the top strategy is adopted in the proposed algorithm. During the training process of the algorithm, the chunking incremental and decremental learning procedures are used alternately. A small support vector set, which can cover most of the information in the training set, can be formed adaptively. Using the support vector set, one can construct the final classifier. In order to test the validation of the proposed algorithm, it has been applied to five benchmarking UCI datasets. In order to show the relationships among the chunking size, the number of support vector machine, the training time, and the testing accuracy, different chunking sizes are tested. The experimental results show that the proposed algorithm can adaptively obtain the sparse solutions without almost losing generalization performance when the chunking size is equal to 2, and also its training speed is much faster than that of the sequential minimal optimization (SMO) algorithm. The proposed algorithm can also be applied to the least squares support vector regression machine as well as LS-SVM classifier.

关键词： Support vector machines

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A wireless intrusion detection method based on dynamic growing neural network

A wireless intrusion detection method based on dynamic growi...

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First International Multi- Symposiums on Computer and computational Sciences, IMSCCS'06

作者： Liu, Yanheng Tian, Daxin Li, Bin Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China College of Mathematics Science Jilin University Changchun 130012 China

ISBN: (纸本)0769525814

In this paper an intrusion detection method based on Dynamic Growing Neural Network (DGNN) for wireless networking is presented. DGNN is based on the Hebbian learning rule and adds new neurons under certain conditions. When DGNN performs supervised learning, resonance will happen if the winner can't match the training example;this rule combines the ART/ARTMAP neural network and WTA learning rule. When DGNN performs unsupervised learning, post-prune is carried out to prevent overfitting the training data just like decision tree learning. The intrusion detection method is an anomaly detection method and the feature is selected from the packets. In the experiments, we first check the ability of the neural network and then use it to perform detection in a WLAN. The results show that it can detect new intrusion behavior and some improving methods are presented in the conclusions. © 2006 IEEE.

关键词： Public key cryptography

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Static knowledge representation of multi-agent system's specification by description logics

Static knowledge representation of multi-agent system's spec...

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2006 International Workshop on Description Logics, DL 2006

作者： Che, Haiyan Sun, Jigui Yu, Haibo College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

Modularity and rigor are two key elements for multi-agent technology. Hong Zhu's multi-agent system (MAS) development method provides proper language facilities supporting modularity. To enhance this method with rigor advocates a DL method to map the specification of MAS into a DL TBox. Thus, we can use the existing DL reasoners and systems to verify and validate some system's properties.

关键词： Multi agent systems

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