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26th Chinese Control Conference, CCC 2007

作者： Liao, Guiping Yu, Fei Shen, Yue Zhang, Linfeng Xu, Cheng School of Computer and Information Engineering Hunan Agricultural University Changsha 410128 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China Guangdong Province Key Lab of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou510320 China

ISBN: (纸本)7900719229

With the deeply research on intrusion detection techniques and the widely use of intrusion detection products, the study of evaluation techniques of intrusion detection systems became important. In the paper, relative works of the evaluation of intrusion detection systems was introduced. The primary aspects of intrusion detection systems in an evaluation were discussed. An evaluation system for intrusion detection systems was proposed. In the system, a supervisor module controls the whole system. The supervisor module schedules the traffic control module and the attack emulation module. The data in the evaluation environment are recorded and input to the evaluation module. The functions such as emulation of network traffic and host usage, emulation of attacks and evaluation report generation are implemented.

关键词： Control system analysis

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Shape Analysis of Volume Models by Euclidean Distance Transform and Moment Invariants

Shape Analysis of Volume Models by Euclidean Distance Transf...

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10th IEEE International Conference on computer Aided Design and computer Graphics(第十届CAO/Graphics国际会议)

作者： Dong Xu Hua Li Key Laboratory of Intelligent Information Processing Key Laboratory of Computer System and Architecture National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Graduate University of Chinese

In this paper,volume models are obtained from closed surface models by an accurate voxelization method which can handle the hidden cavities. This kind of 3D binary images is then converted to gray-level images by a fast Euclidean distance transform (EDT).Moment invariants (MIs) which are invariant shape descriptors under similarity transformations,are then computed based on the gray images. Applications in shape analysis area such as principal axis determination,skeleton and medial axis extraction,and shape retrieval can be carried out base on EDT and MIs.

关键词： Shape Euclidean distance Skeleton Principal component analysis Laboratories Image converters Data mining Computed tomography Clouds Iterative closest point algorithm

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A Divide-Conquer Strategy for Both English and Chinese Text Chunking

A Divide-Conquer Strategy for Both English and Chinese Text ...

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International Conference on Advanced Language processing and Web information technology (ALPIT)

作者： Ying-hong Liang Ni-Hong Wang Zhao-wen Qiu Yin-Chen Tie-jun Zhao MOE-MS Key Laboratory of Natural Language Processing and Speech in Harbin Institute of Technology Harbin China School of Information and Computer Engineering in North East Forestry University Harbin China MOE-MS Key Laboratory of Natural Language Processing and Speech in Harbin Institute of Technology Harbin

ISBN: (纸本)9780769529301;0769529305

The traditional English text chunking approach identifies phrases by using only one model and phrases with the same types of features. It has been shown that the limitations of using only one model are that: the use of the same types of features is not suitable for all phrases, and data sparseness may also result. In this paper, a divide-conquer strategy is proposed and applied in the identification of English phrases. And then, this strategy is rapid transplanted to Chinese text chunking. This strategy divides the task of chunking into several sub-tasks according to sensitive features of each phrase and identifies different phrases in parallel. Then, a two-stage decreasing conflict strategy is used to synthesize each sub-task's answer, where the main features are: one, each phrase uses its own sensitive features; two, avoidance of data sparseness. Through testing on public corpus (English) and Chinese Penn Treebank (Chinese), F score of English chunking achieves to 95.14% and that of Chinese chunking is 95.23%. These results are state of the art with the best results that have been reported..

关键词： Natural language processing Natural languages information technology Forestry Laboratories Speech processing Electronic mail Testing Learning systems Data mining

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Intrusion detection based on fuzzy reasoning

Intrusion detection based on fuzzy reasoning

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26th Chinese Control Conference, CCC 2007

作者： Fei, Yu Yue, Shen Guiping, Liao Linfeng, Zhang Cheng, Xu School of Computer Andinformation Engineering Hunan Agricultural University Changsha 410128 China Guangdong Province Key Lab. of Electronic Commerce Market Application Technology Guangdong University of Business Studies Guangzhou 510320 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 2150063 China

ISBN: (纸本)7900719229

The paper proposes a new network intrusion detection system based on fuzzy neural network by redesigning the intrusion detection system's architecture and arithmetic. In order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimension space.,neural network is introduced to distinguish non-linearly input/output characteristics of complex system and to generate rule sets and membership functions automatically. The new architecture adopts the network processor to collect and analyse the data in the low layer of network.,and to establish a prototype system. This system demonstrated in this experiment appears to be better intrusion detection ability, moreover, which is able to detect unknown attack and plays down false alarms.

关键词： Fuzzy neural networks

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A Dynamic Description Logic Approach to Extended RBAC Model

A Dynamic Description Logic Approach to Extended RBAC Model

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International Conference on Future Generation Communication and Networking (FGCN)

作者： Li Ma Shilong Ma Yuefei Sui Department of Computer Science Beijing Aeronautics and Astronautics University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9780769530482;0769530486

Traditional RBAC model describes a static access control policy. As the development of network application, such as Web services, access control faces many new challenges, one of which is that access control policies need to protect not only static resources but also dynamic ones that are encapsulated in a service. In order to capture the flexibility of application, we specify a fine-grained control on individual users by introducing user attributes which are associated to user's role and permission. We take the service as an action that changes some of user's attributes so as to adjust users' permission at run. In order to represent and reason on the access control automatically, we use the description logics combined with prepositional dynamic logic as a logic framework to construct a knowledge base for the access control and action rules, and semantically explain how a user's permission can be changed at runtime.

关键词： Access control Permission Aerodynamics Automatic logic units Protection Qualifications computer science Laboratories information processing Application software

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Agent Grid Based Enterprise Application Integration

Agent Grid Based Enterprise Application Integration

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International Conference on Natural Computation (ICNC)

作者： Maoguang Wang Zhongzhi Shi Li Zheng Fen Lin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate University of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Beijing China Chinese Academy of Sciences China Graduate University of CAS China

Due to the increasing software complexity, how to integrate the legacy data resources and systems is a big challenge for the enterprise. This paper makes full use of agent technologies to establish an agent grid intelligent platform for enterprise heterogeneous system integration. The agent grid intelligent platform adopts a hierarchical integration model and middleware to provide efficient integration capability for different application systems. Finally, this paper introduces the grid based city emergency interaction system to illustrate the AGrIP practical system integration.

关键词： Intelligent agent Application software Middleware Collaborative work Collaboration Connectors computer science Laboratories information processing Cities and towns

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Distributed Application Integration Based on Agent Grid Intelligent Platform

Distributed Application Integration Based on Agent Grid Inte...

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

作者： Maoguang Wang Zhongzhi Shi Jiewen Luo Li Zeng Graduate School of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalable and efficient during the industry projects development and application.

关键词： Intelligent agent Application software Collaboration information systems Software libraries Connectors computer science Laboratories information processing Testing

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Studies on Fuzzy information Measures

Studies on Fuzzy Information Measures

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Shifei Ding Zhongzhi Shi Shixiong Xia Fengxiang Jin College of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Institute for Computing Technology Beijing China College of Geoinformation Science and Engineering Shandong University of Science and Technology Qingdao China

Fuzzy information measures play an important part in measuring the similarity degree between two pattern vectors in fuzzy circumstance. In this paper, two new fuzzy information measures are set up. Firstly, the classical similarity measures, such as dissimilarity measure (DM) and similarity measure (SM) are studied, an axiom theory about fuzzy entropy is surveyed, and all kinds of definitions of fuzzy entropy are discussed. Secondly, based on the idea of Shannon information entropy, two concepts of fuzzy joint entropy and fuzzy conditional entropy are proposed and the basic properties of them are given and proved. At last, two new measures, fuzzy absolute information measure (FAIM) and fuzzy relative information measure (FRIM), are set up, which can be used to measure the similarity degree between a fuzzy set A and a fuzzy set B. So, It provides a new research approach for studies on pattern similarity measure.

关键词： Fuzzy sets Pattern recognition Delta modulation Samarium information entropy Random variables Probability distribution Educational institutions Mutual information computer science

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3D Model Retrieval Based on V System Rotation Invariant Moments

3D Model Retrieval Based on V System Rotation Invariant Mome...

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International Conference on Natural Computation (ICNC)

作者： Zongmin Li Xiuping Men Yujie Liu Hua Li Department of Computer Science University of North Carolina Charlotte NC USA School Of Computer Science And Communication Engineering China University of Petroleum Shandong China Key Laboratory Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

This paper proposes a novel methodology based on V-system polynomials for content-based search and retrieval of 3D objects. The V-system is composed by piecewise polynomials, and is capable of exactly describing the geometric information expressed by the popularly and widely used spline curves and surface. We define rotation invariant moments-v-system moment by combining V-system polynomials with spherical harmonics. After preprocessing for translation and scale invariance, the spherical extension is used as input for V-system moments and the values of obtained coefficients are considered as components of the feature vector. We evaluate on the Princeton Shape Benchmark, the proposed descriptors regarding computational aspects and shape retrieval performance. The-performance of the proposed method is compared to some previous approaches by means of precision/recall tests. Generally, results show that the new approach introduces improvements in the SD model retrieval process.

关键词： Shape Content based retrieval Image retrieval Polynomials information retrieval Solid modeling computer science Feature extraction Noise robustness Petroleum

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Fast and effective method for stereo matching

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Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science) 2007年第3期27卷 28-33页

作者： Dong, Yu-Ning College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China

In this paper we propose a novel edge-based, fast and effective stereo matching method. If utilizes various geometrical and local area constraints as well as structural information among edge segments to perform a constraint-directed matching. By employing a heuristic labelling technique, the combinatorial search for isomorphic graphs is greatly reduced in the matching process. The implementation and experimental results are presented to show the efficacy of the proposed method.

关键词： 3D information recovery Binocular vision Stereo matching

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