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Method for constructing G2 continuous splines via matrices decomposition

Journal of information and Computational Science 2005年第4期2卷 661-669页

作者： Diao, Luhong Li, Hua Li, Zongmin Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100080 China

Semi-G2 basis functions are introduced, the degree of which is larger than three. These basis functions are expressed explicitly via matrices decomposition. Based on them, equations for constructing G2 splines can be presented independently of geometric shape parameters' values. It makes the equation's solving easier. Analysis shows that this method may be extended to be applicable for constructing Gn splines.

关键词： Computer aided design

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A novel heterogeneous data integration approach for P2P semantic link network

A novel heterogeneous data integration approach for P2P sema...

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Thirteenth International World Wide Web Conference Proceedings, WWW2004

作者： Zhuge, Hai Liu, Jie China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing 100080 China

ISBN: (纸本)158113844X

This paper proposes a novel approach to integrate heterogeneous data in P2P networks. The approach includes a tool for building P2P semantic link networks, mechanisms for peer schema mapping, criteria for peer similarity degree measurement, and algorithms for heterogeneous data integration. The approach has three advantages: First, it uses semantic links to describe semantic relationships between peers' data schemas. Second, it deals with the semantic heterogeneity, the structural heterogeneity and the data value inconsistency. Finally, it considers the semantic similarity and structural similarity to forward queries to relevant peers.

关键词： Data reduction

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A novel heterogeneous data integration approach for P2P semantic link network 04

A novel heterogeneous data integration approach for P2P sema...

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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Liu, Jie China Knowledge Grid Research Group CAS Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing100080 China

ISBN: (纸本)1581139128

关键词： Semantic Web

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Journal of information Science and Engineering: Editorial notice

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Journal of information Science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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Active E-course for constructivist learning 04

Active E-course for constructivist learning

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13th International World Wide Web Conference on Alternate Track, Papers and Posters, WWW Alt. 2004

作者： Zhuge, Hai Li, Yanyan China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China

ISBN: (纸本)1581139128

An active e-course is a self-representable and self-organizable document mechanism with a flexible structure. The kernel of the active e-course is to organize learning materials into a "concept space" rather than a "page space". Besides highly interactive service, it supports adaptive learning by dynamically selecting, organizing and presenting the learning materials for different students. During the learning progress, it also provides assessments on students' learning performances and gives suggestions to guide them in further learning. We have implemented an authoring tool and a course prototype to support the constructivist learning.

关键词： Flexible structures

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Future interconnection environment - Dream, principle, challenge and practice : keynote

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3129卷 13-22页

作者： Zhuge, Hai China Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology China

Networks and flows are everywhere in society, nature and virtual world organizing versatile resources and behaviors. Breaking boundaries, this keynote establishes a scenario of the future interconnection environment - a large-scale, autonomous, live, sustainable and intelligent network environment where society, nature, and the environment harmoniously co-exist, cooperatively work and evolve. It automatically senses and collects useful information from the nature, transforms raw information into resources in the environment, and organizes resources in semantic rich normal forms that can be easily understood by both machine and human. Geographically dispersed people and resources can work in cooperation to accomplish tasks and solve problems by actively participating material flows, energy flows, technology flows, information flows, knowledge flows and service flows in the environment through roles and machines, improving the environment and the nature. Parameters, characteristics and principles of the environment are proposed from the system methodology point of view. A case study on a live semantic link network under a reference model of the environment is presented. As a practice, the advanced architecture and technology used in China Knowledge Grid e-science environment IMAGINE-1 is introduced. © Springer-Verlag 2004.

关键词： e-Science

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A Multi-layers Neural Network Model based on Characteristics of Ganglions' Receptive Fields in Retina and an Algorithm for Watchfulness-keeping

A Multi-layers Neural Network Model based on Characteristics...

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The Third Asian Conference on Vision (ACV2004)

作者：危辉陆汝钤 Department of Computer Science Lab of Algorithm for Cognitive Model Brain Science Research Center Fudan University Shanghai 200433 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China

Machine vision is an active branch of Artificial Intelligence. An important problem in this area is the balance among efficiency, accuracy and huge computing. The visual system of human can keep watchfulness to the perimeter of visual field while at same time their central attention is focused to the center of visual field for fine information processing. This mechanism of computing resource assignment could ease the demand for huge and complex hardware structure. Therefore designing computer model based on biological visual

关键词： A Multi-layers Neural Network Model based on Characteristics of Ganglions Receptive Fields in Retina and an Algorithm for Watchfulness-keeping Model

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Autonomous optical navigation for interplanetary exploration based on information of earth-moon

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Journal of Harbin Institute of Technology(New Series) 2003年第3期10卷 343-348页

作者：吴伟仁田玉龙黄翔宇 Institute for Pattern Recognition and Artificial Intelligence State Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China Deep Space Exploration Research Center Harbin Institute of Technology Harbin 150001 Chinahe image elements of earth-center and moon-center are obtained by processing the images of earth and moon these image elements in combination with the inertial attitude information and the moon ephemeris are utilized to obtain the probe initial position relative to earth and the Levenberg-Marquardt algorithm is used to determine the accurate probe position relative to earth and the probe orbit relative to earth is estimated by using the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simulation.

The image elements of earth-center and moon-center are obtained by processing the images of earthand moon, these image elements in combination with the inertial attitude information and the moon ephemerisare utilized to obtain the probe initial position relative to earth, and the Levenberg-Marquardt algorithm is usedto determine the accurate probe position relative to earth, and the probe orbit relative to earth is estimated by u-sing the extended Kalman filter. The autonomous optical navigation algorithm is validated using the digital simu-lation.

关键词： autonomous optical navigation interplanetary exploration Levenberg-Marquardt algorithm

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KGCL: A knowledge-grid-based cooperative learning environment 1

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1st International Conference on Web-Based Learning, ICWL 2002

作者： Zhuge, Hai Li, Yanyan Bi, Jia Cheung, To-Yat Knowledge Grid Research Group Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China Department of Computer Science City University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)3540440410

Knowledge Grid is a platform that enables uniform and effective knowledge sharing and management across the Internet. Based on this platform, this paper proposes a cooperative learning environment KGCL. It supports the knowledge-level cooperation between human and computer, and enables the enrichment of not only the resources in the Knowledge Grid but also the knowledge of users by means of knowledge refinement, knowledge reuse and drawing together online participants. Currently, the prototype of the KGCL has been implemented and is availab.e for use online. Experiments show that the environment can promote the effectiveness of teamwork. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Computer aided instruction

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Joint speech signal enhancement based on spectral subtraction and SVD filter 6

Joint speech signal enhancement based on spectral subtractio...

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6th International Conference on Spoken Language processing, ICSLP 2000

作者： Lu, Wenkai Zhang, Xuegong Li, Yanda Liqin, Shen Weibin, Zhu Institute of Information Processing Department of Automation Key State Lab of Intelligent Technology and System Tsinghua University Beijing100084 China Speech Group IBM China Research Lab. No 26 6th Street Shangdi Haidian District Beijing100085 China

ISBN: (纸本)7801501144

A joint speech signal enhancement based on singular value decomposition filter after spectral subtraction (SSVD) is proposed in this paper. The residual noise after spectral subtraction, which results for audible musical noise, is reduced further by SVD filter. The matrix size in spectral domain can be reduced half, and larger step-length adopted by SVD filter in spectral domain leads to lower cost, which make sure that the system can work in real-time. A novel speech/pause detector based on entropy(ESPD) is proposed too. The new detector improves the performance of the whole noise suppression system significantly.

关键词： Singular value decomposition

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