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International Symposium on information Science and Engineering, ISISE

作者： Yu-jiao XiaHou Sheng-rong Gong Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China Soochow University Suzhou Jiangsu CN

This paper proposed an adaptive shadows detection algorithm based on Gaussian Mixture Model to improve the performance of video object segmentation. This method takes advantage of luminance weight to model the background of the image and obtains a primary segmentation in CIE Luv color space. In this way, it improves the real-time ability of detection. It also becomes more efficient, comparing with the existing shadow detection algorithms which often need to set the threshold manually or get them through a training process. By using the Gaussian distribution, it is able to realize an adaptive shadow detection. At same time, the authors deal with the noise or the aim points uneven distribution by using horizontal filling and vertical filling. It improves the accuracy of segmentation. The experimental results have shown that this method achieves adaptive shadows detection and has strong robustness, high segmentation accuracy.

关键词： Detection algorithms Clustering algorithms Layout Gaussian distribution Pixel Object segmentation Filling Object detection Streaming media information science

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Data expression method in enterprise application using J2EE architecture

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WSEAS Transactions on Communications 2008年第6期7卷 541-550页

作者： Zhang, Xiaoshuan Chen, Peijun Zhao, Ming College of Information and Electrical Engineering China Agricultural University Qinghua Donglu 17 Haidian Beijing 100083 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Shixinjie 1 Suzhou Jiangsu 215006 China

With use of the Internet, web browser-enabled software applications are developed rapidly. Nowadays enterprises are paying more attention than ever on developing their business on the Web. The demand for rapidly delivering high quality web enabled software applications to the end users is high. The enterprise software developers are making efforts to develop the enterprise software applications that not only satisfy the business needs but also achieve the high quality within a short development process. However, the enterprise software development is normally complicated. For example, factors like the different enterprise environment, the critical business demand, the lack of knowledge and experience from the developers and so on can make the enterprise software development become rather hard work. Under such circumstances, something is needed to simplify the enterprise software development and also enable the sharing of the knowledge and experiences among the different developers. J2EE architecture is becoming the mainstream framework to develop the more complex enterprise application. The important problem arises, which is how to manage to each layer in J2EE and control the interior business data and the customer data, given that J2EE architecture has many complicated layers. There is respective data presentation in relevant layer of J2EE, with strictly rules to access and transform data objects between these layers. This paper adopts the case study method to discuss the data expression of J2EE and the detailed data expressing methods in corresponding layer with some instances. According to the Facade pattern of J2EE, it should control the access to data persistence layer seriously to protect important enterprise data and avoid showing database pattern to client directly. The data persistence layer hides behind the business logic layer and provide business interfaces via the business logic layer to communicate with the presentation layer to package the data persis

关键词： Enterprise software

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Intrusion Detection for High-Speed Networks Based on Producing System

Intrusion Detection for High-Speed Networks Based on Produci...

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International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Ken Chen Fei Yu Cheng Xu Yan Liu School of Computer &Information Engineering Hunan Agricultural University Changsha China College of Computer & Communication Hunan University Changsha China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China

This paper firstly analyzed the front pattern matching algorithm of intrusion detection system, and improved on the pattern matching algorithm. Having immediately analyzed Rete algorithm and aimed at its shortage, the paper introduced the FRete net algorithm on the basis of Rete net algorithm constituting an inference machine based on FRete matching algorithm, which could infer logical suspicious facts. Then the authors discussed and designed an intrusion detection system based on high-speed networks, and finally established a simulation and experiment platform to test the performance of IDS.

关键词： Intrusion detection High-speed networks Inference algorithms computer networks Data security Pattern matching Algorithm design and analysis computer architecture Protection Data mining

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On automatic classification for agricultural products web pages in chinese based on LVQ network and ontology

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Journal of Computational information Systems 2008年第3期4卷 971-976页

作者： Wang, Chuanyi Fu, Zetian Zhang, Jian Hu, Liang Wang, Feng Zhang, Xiaoshuan China Agricultural University Beijing 100083 China Key Laboratory for Modern Precision Agriculture System Integration China Agricultural University Beijing 100083 China Beijing Information S and T University Beijing 100000 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 215000 China

The user often retrieves few anticipated results when searching information in Internet via generalized search engine due that the web pages also exist the synonymous and ambiguous characteristic. How to classify the webpage is the key point to construct vertical search engine, which is known as solution for the problems. This paper proposes a conceptual framework based on Learning Vector Quantization (LVQ) network and Ontology to automatic classification for the webpage from agricultural website. System test shows that the framework can automatically classify Chinese agricultural products web pages and perfectly resolve the synonymous problem.

关键词： Ontology

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Dynamic layered-graph model for routing in cognitive radio network

Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of ...

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Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and technology (Natural Science Edition) 2008年第6期9卷 586-590页

作者： Li, Yang Dong, Yu-Ning Zhao, Hai-Tao College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu Provincial Key Lab. of Computer Information Processing Technology Soochow University Suzhou 215006 China

To analyze routing protocol in cognitive radio(CR) networks effectively, a dynamic routing model is necessary. Dynamic layered graphic(DG) was proposed aiming at the characteristic of dynamic spectrum access in CR networks. In DG model, nodes were split into many sub-nodes, and each sub-node state could denote whether the related channel was available or *** DG model, sub-node state was taken as a stochastic process and the model of cognitive radio network's dynamic topology was set up by analyzing the dynamic characteristic of sub-node state. Simulation results show that in the aspect of the adaptability to CR network's variable SOP and depiction of the topology, the DG model outperforms the layered graph(LG) model, and can adapt well to CR networks environment.

关键词： Cognitive radio

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Towards termination criteria of ant colony optimization

Towards termination criteria of ant colony optimization

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3rd International Conference on Natural Computation, ICNC 2007

作者： Lv, Qiang Xia, Oyan School of Computer Science and Technology Suzhou University Suzhou Jiangsu 215006 China Provincial Key Lab. for Computer Information Processing Technology Suzhou Jiangsu 215006 China

ISBN: (纸本)0769528759

Ant colony optimization (ACO for short) has been proved a successful meta-heuristic by a huge of empirical studies. This paper discusses the termination criteria of ACO and therefore provides research ideas to other meta-heuristics. A general discussion about four types of termination criteria has been firstly discussed in this article. Then some measures of convergence based on pheromone have been introduced. And a new termination criterion based on Bayesian approach is presented. Finally a new convergence proof for a class of ACO algorithms is presented. © 2007 IEEE.

关键词： Heuristic methods

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Genetic algorithm for pareto optimum-based route selection

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Journal of Systems Engineering and Electronics 2007年第2期18卷 360-368页

作者： Cui Xunxue Li Qin Tao Qing New Star Research Inst. of Applied Technology Hefei 230031 P. R. China Jiangsu Key Lab of Computer Information Processing Technology Soochow Univ. Suzhou 215006 P. R. China

A quality of service （QoS） or constraint-based routing selection needs to find a path subject to multiple constraints through a network. The problem of finding such a path is known as the multi-constrained path （MCP） problem, and has been proven to be NP-complete that cannot be exactly solved in a polynomial time. The NPC problem is converted into a multiobjective optimization problem with constraints to be solved with a genetic algorithm. Based on the Pareto optimum, a constrained routing computation method is proposed to generate a set of nondominated optimal routes with the genetic algorithm mechanism. The convergence and time complexity of the novel algorithm is analyzed. Experimental results show that multiobjective evolution is highly responsive and competent for the Pareto optimum-based route selection. When this method is applied to a MPLS and metropolitan-area network, it will be capable of optimizing the transmission performance.

关键词： Route selection Multiobjective optimization Pareto optimum Multi-constrained path Genetic algorithm.

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An access control model in lager-scale P2P file sharing systems

An access control model in lager-scale P2P file sharing syst...

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7th International Conference on Computational Science (ICCS 2007)

作者： Yue Guang-xue Yu Fei Chen Li-ping Chen Yi-jun College of Information Engineering Jiaxing University 314000 China Department of Computer Science and Technology Huaihua University 418000 China State Key Lab. for Novel Software Technology Nanjing University 210093 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University 2150063 China

ISBN: (纸本)9783540725893

In lager-scale P2P file sharing systems, peers often must interact with unknown or unfamiliar peers without the benefit of trusted third parties or authorities to mediate the interactions. The decentralized and anonymous characteristics of P2P environments make the task of controlling access to sharing information more difficult. In this paper, we identify access control requirements and propose a trust based access control framework for P2P file-sharing systems. The model integrates aspects of trust and recommendation, fairness based participation schemes and access control schemes.

关键词： Distributed computer systems

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ADJSA: An adaptable dynamic job scheduling approach based on historical information 2

ADJSA: An adaptable dynamic job scheduling approach based on...

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2nd International Conference on Scalable information Systems, InfoScale 2007

作者： Xu, Lan Zhu, Qiao-Ming Gong, Zhengxian Li, Pei-Feng School of Computer Science and Technology Soochow University Suzhou215006 China Key Lab of Computer Information Processing Technology of Jiangsu Province Suzhou215006 China

ISBN: (纸本)9781595937575

Currently, there are many researches focusing on grid scheduling and more and more scheduling algorithms were proposed. However, those algorithms are not satisfied with the requirement of the grid for ignoring its characteristics of dynamics, autonomy, distributing, etc. Therefore, this paper proposes an adaptable dynamic job scheduling approach based on historical information (ADJSA). This approach adjusts the predicting model automatically by using the recent jobs execution historical information and then selects the appropriate resource to execute the job considering dynamic and real-time factors of the Grid.

关键词： Grid computing

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Content-based image retrieval using fuzzy hamming distance

Content-based image retrieval using fuzzy hamming distance

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2007 8th International Conference on Electronic Measurement and Instruments, ICEMI

作者： Hu, Xuelong Yang, Li Zhang, Gensheng School of Information Engineering Yangzhou University Yangzhou 225009 China Jiangsu Province Key Lab. for Image Processing and Communication Nanjing University of Post and Telecommunications Nanjing 215006 China Jiangsu Province Key Lab. for Computer Information Processing Technology Suzhou University Suzhou 215006 China

ISBN: (纸本)1424411351

This paper addresses an effective issue of content-based image retrieval (CBIR) by presenting Fuzzy Hamming Distance (FHD). Firstly, the theory of FHD is introduced, which includes degree of difference and cardinality of the fuzzy set, and then follows defuzzification of FHD which is used as a fuzzy similarity measure. In the experiment, the image retrieval results show this method can be employed to capture implicitly some semantic contents of the image in addition to other features such as color, texture and shape. Finally, an implemented prototype system demonstrates a promising retrieval performance for a test database, as compared with FUZZYCLUB system. © 2007 IEEE.

关键词： Hamming distance

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