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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Jianjun Pu Hongji Yang Baowen Xu Lei Xu William Cheng-Chung Chu Software Technology Research Laboratory De Montfort University UK Computing School South-East University China Department of Computer Science and Information Engineering Tunghai University Taiwan

The research in this paper focuses on an approach to reverse engineering web-based legacy systems with the integration of model-driven engineering and UML. Three types of link-based models of web-based legacy systems are presented. web-based legacy systems are parsed to find judgement conditions of model, and UML diagrams are described based on the modelling rules.

关键词： web pages Unified modeling language Joining processes Reverse engineering Computational modeling Foot Software

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MRBAC: Hierarchical Role Management and Security Access Control for Distributed Multimedia Systems

MRBAC: Hierarchical Role Management and Security Access Cont...

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International Symposium on Object-Oriented Real-Time Distributed computing

作者： Na Zhao Min Chen Shu-Ching Chen Mei-Ling Shyu Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Department of Computer Science University of Montana Missoula MT USA Department of Electrical & Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)9780769531328

In this paper, a role-based access control (KBAC) model is applied and extended to a multimedia version called multi-role based access control (MRBAC), which can fully support the comprehensive and multilevel security control requirements of the distributed multimedia applications. The object-oriented concept is adopted in MRBAC to perform the hybrid role hierarchy management and security roles and rules administration. In summary, MRBAC can: 1) support the multi-level security protection for multimedia data; 2) provide access control by checking both the time constrains and IP addresses; and 3) decentralize the administration functions to make the access control management more efficient.

关键词： Access control Multimedia systems Object oriented modeling Data security information security Multimedia databases Distributed computing Multimedia computing USA Councils Permission

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A novel data distortion approach via selective SSVD for privacy protection

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International Journal of information and computer Security 2008年第1期2卷 48-70页

作者： Wang, Jie Zhang, Jun Xu, Shuting Zhong, Weijun Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky Lexington KY 40506-0046 United States Department of Computer Information Systems Virginia State University Petersburg VA 23806 United States Department of Management Sciences and Engineering Southeast University Nanjing 210096 China

Data privacy preservation has become one of the major concerns in the design of practical data-mining applications. In this paper, a novel data distortion approach based on structural partition and Sparsified Singular Value Decomposition (SSVD) technique is proposed. Three schemes are designed to balance privacy protection in centralised datasets and mining accuracy. Some metrics are used to evaluate the performance of the proposed new strategies. Data utility of the three proposed schemes is examined by a binary classification based on the support vector machine. Furthermore, we examine three sparsification strategies. The effect of method parameters on data distortion level and utility is also studied experimentally. Our experimental results on synthetic and real datasets indicate that, in comparison with standard data distortion techniques, the proposed schemes are efficient in balancing data distortion level and data utility. They afford a feasible solution with a good promise for mining accuracy and a significant reduction in the computational cost from SVD. Copyright © 2008 Inderscience Enterprises Ltd.

关键词： Data privacy

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Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations

Automatic Digest Generation by Extracting Important Scenes f...

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International Workshop on Database and Expert Systems Applications

作者： Hieu Hanh Le Thitiporn Lertrusdachakul Tetsutaro Watanabe Haruo Yokota Department of Computer Science Tokyo Institute of Technology Japan Department of Computer Science Graduate School of Information and Engineering Tokyo Institute of Technology Japan Application Lab Ricoh Company Ltd Application Laboratory Software R&D Group Ricoh Company Limited Japan Department of Computer Science Tokyo Institute of Technology Global Scientific Information and Computing Center Tokyo Institute of Technology

Recently, combining a video recording of a presentation along with the digital slides used in it has become popular in e-learning and presentation of archives. For users of the archives, it is useful to preview a digest of such content to grasp the atmosphere and/or an outline of the presentation. This paper proposes a method of automatic digest generation by extracting important scenes from the presentation content. The extracted scenes are chosen based on several factors such as frequency and specificity of words, scene duration and order. Finally, the effectiveness of the proposed methods are evaluated by comparing with testers' answer sets for actual lectures.

关键词： Data mining Speech Proposals Electronic learning Arrays Video recording Software

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Research on rough set theory and applications in China

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Lecture Notes in computer science

作者： Wang, Guoyin Zhang, Qinghua Huang, Houkuan Ye, Dongyi Hu, Qinghua Hu, Xuegang Shi, Zhongzhi Li, Yongli Shang, Lin An, Liping Sai, Ying Chen, Shanben Liang, Jiye Qin, Keyun Zeng, Huanglin Xie, Keming Miao, Duoqian Min, Fan Wu, Zhaocong Wu, Weizhi Dai, Jianhua Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China College of Math. and Computer Fuzhou University Fuzhou 350002 China Harbin Institute of Technology PO Box 458 Harbin 150006 China School of Computer and Information Hefei University of Technology Hefei 230009 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Lanzhou University No.222 Tianshui South Rd. Lanzhou 730000 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Management Science and Engineering Department Business School Nankai University Tianjin 300071 China Shandong University of Finance No.40 Shun-geng Road Jinan 250014 China Welding Engineering Institute Shanghai Jiaotong University Shanghai 200030 China School of Computer and Information Technology Shanxi University Taiyuan 030006 China Intelligent Control Development Center Southwest Jiaotong University Chengdu 610031 China Artificial Intelligence of Key Laboratory Sichuan University of Science and Engineering Zigong 643000 China Department of Automation College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China 4800 CaoAn Highway Shanghai 201804 China School of Computer Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China School of Remote Sensing Information Engineering Wuhan University Wuhan 430079 China Institute for Information and System Sciences Faculty of Science Xi'an Jiaotong University Xi'an 710049 China Information College Zhejiang Ocean University Zhejiang 316004 China Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China

ISBN: (纸本)3540850635

This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the following things: Chinese research groups on rough set with their URLs for web pages, names of principal researchers (supervisors), numbers of graduate students, and topics being investigated. Statistical summaries showing the growth in the research on rough set theory and application in China are included. In addition, an introduction summarizing the research interests of Chinese researchers is included in this article. The contribution of this article is a complete overview of the principal research directions in rough set theory and its applications in China. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Rough set theory

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Editorial: Dependability and security

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IEEE Transactions on Dependable and Secure computing 2008年第1期5卷 1-3页

作者： Iyer, Ravishankar K. Gligor, Virgil D. Kalbarczyk, Zbigniew T. Kanoun, Karama Katzenbeisser, Stefan Mukherjee, Shubu Shieh, Shiuhpyng Zorian, Yervant Department of Electrical and Computer Engineering Carnegie Mellon University Microsoft's Trusted Computing Academic Advisory Board Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois Urbana-Champaign United States IEEE IEEE Computer Society LAAS CNRS IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance Special Interest Group on Dependability Benchmarking IFIP Working Group 10.4 French SEE Technical Committee on Trustworthy Computer Systems SEE Working Group Design and Validation for Dependability Technical University Munich Germany Darmstadt University of Technology ACM IACR Intel's SER Tech Council Intel's Architecture Patent Committee Taiwan Information Security Center NCTU IEEE Reliability Society Taipei and Tainan IACR United States Virage Logic Corp. AT and T Bell Laboratories Logic Vision Inc. University of British Columbia IEEE Test Technology Technical Council

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A Newborn Screening System Based on Service-Oriented Architecture Embedded Support Vector Machine

A Newborn Screening System Based on Service-Oriented Archite...

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2008 IEEE International Symposium on Service-Oriented System engineering

作者： Sung-Huai Hsieh Sheau-Ling Hsieh Yin-Hsiu Chien Zhenyu Wang Yung-Ching Weng Feipei Lai Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Information Systems Office National Taiwan University Hospital Taipei Taiwan Network and Computer Centre National Chiao Tung University Hsinchu Taiwan Department of Medical Genetics National Taiwan University Hospital Taiwan Computing Laboratory Oxford University Oxford UK Department of Electrical Engineering National Taiwan University Taipei Taiwan

The clinical symptoms of metabolic disorders are rarely apparent during the neonatal period, and if they are not treated early, irreversible damage, such as mental retardation, or even death, may occur. Therefore, the practice of newborn screening is important to the prevention of permanent disabilities in *** this paper, we propose a newborn screening system that uses Support Vector Machine (SVM) classification techniques to evaluate raw data on the concentrations of metabolic substances obtained from tandem mass spectrometry (MS/MS) to determine if a newborn has a metabolic disorder. As per the concept of Service-Oriented Architecture (SOA), we designed the system using web services techniques, which are suitable for integrating heterogeneous platforms, protocols, and applications. It can be integrated seamlessly into National Taiwan University Hospital information Systems (HIS) or other related HIS.

关键词： Pediatrics Service oriented architecture Support vector machines Diseases Hospitals Support vector machine classification information systems web services Mass spectroscopy Genetic engineering

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Learning educational research methods through collaborative research: The PhICER initiative

Conferences in Research and Practice in Information Technolo...

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Conferences in Research and Practice in information Technology Series 2008年 78卷 35-42页

作者： Berglund, Anders Box, Ilona Eckerdal, Anna Lister, Raymond Pears, Arnold Uppsala Computing Education Research Group UpCERG Uppsala University Department of Information Technology P.O. Box 337 SE-751 05 Uppsala Sweden Faculty of Information Technology University of Technology Sydney P.O. Box 123 Broadway 2007 Sydney Australia Helsinki University of Technology COMPSER laboratory Department of Computer Science and Engineering Espoo Finland

ISBN: (纸本)9781920682590

To accommodate an increasing interest in phenomenography among the computing education research community, the authors of this paper have organised two workshops, or intensive courses, in phenomenography, intended for researchers in computing education at a university level. Although the workshop programs contained lectures and smaller exercises, the emphasis was on preparing one joint publication from each of the workshops. The publication from the first workshop discussed the experience of being a teacher in computing, while the second focused on teachers' experiences of the problems their students encounter when learning computing. The workshops and their impact on the community are discussed in this paper. © 2008, Australian computer Society, Inc.

关键词： Teaching

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Hierarchical background subtraction using local pixel clustering

Hierarchical background subtraction using local pixel cluste...

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International Conference on Pattern Recognition

作者： Bineng Zhong Hongxun Yao Shiguang Shan Xilin Chen Wen Gao Department of Computer Science and Engineering Harbin Institute of Technology Digital Media Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences Beijing China Digital Media Institute Peking University Beijing China

ISBN: (纸本)9781424421749

We propose a robust hierarchical background subtraction technique which takes the spatial relations of neighboring pixels in a local region into account to detect objects in difficult conditions. Our algorithm combines a per-pixel with a per-region background model in a hierarchical manner, which accentuates the advantages of each. This is a natural combination because the two models have complementary strengths. The per-pixel background model is achieved by mixture of Gaussians models (GMM) with RGB feature. Although precisely describing background change in high resolution, it suffers from the sensitivity to quick variations in dynamic environment. To tolerate these quick variations, we further develop a novel GMM based per-region background model, which is updated by the cluster centers obtained from a k-means clustering of the pixelspsila RGB feature in the region. Numerical and qualitative experimental results on challenging videos demonstrate the robustness of the proposed method.

关键词： Autoregressive processes Robustness Object detection Videos Layout Smart pixels Content addressable storage Gaussian processes Lighting Cameras

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New approximation operator of rough fuzzy sets

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Tongji Daxue Xuebao/Journal of Tongji University 2008年第6期36卷 827-831页

作者： Cheng, Yi Miao, Duoqian Liu, Yong Feng, Qinrong Key Laboratory of Embedded System and Service Computing Tongji University Shanghai 201804 China College of Mathematical Sciences Ocean University of China Qingdao 266071 China Department of Computer Science and Technology Tongji University Shanghai 201804 China College of Information Science and Engineering Ocean University of China Qingdao 266071 China

For Dubois rough fuzzy sets, the membership of the lower or upper approximations is defined as the elements memberships' infimum or supsmum in equivalent class. As a result of not considering the elements whose memberships are between the minimum and maximum, some useful information of these elements may be lost in the information processing. The paper presents a new operator of rough fuzzy sets that every element's membership in equivalent class is taken into account. Based on the new operator, algebra properties are put forward and rough fuzzy membership is defined. Moreover, the paper presents accurate degree, classified quality, dependence degree and attribute reduction algorithm. At last, an example proves that the algorithm is efficient.

关键词： Fuzzy sets

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