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International Conference on Computer Supported Cooperative Work in Design

作者： Liyan Liu Hua Li Zongkai Lin Graduate School of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Institute of Computing Technology Beijing China

ISBN: (纸本)184000025

Plenty of structured data existing on the grid need to be managed by databases, but there is little work available on grid-enabled databases. Two problems lie in current research: the first is the deficiency of a uniform management and access method to various kinds of databases; the second is that query efficiency decreases rapidly with the increase of the amount of data records. Metadata plays a critical role in grid databases integration, so a layered metadata model is put forward which comprises information of data storage, data properties and relations between data objects. Through the metadata model, the distributed, heterogeneous data resources can be accessed uniformly and efficiently. At last an example of hospital information database system proves the validity and feasibility of our model.

关键词： Conference management Technology management Hospitals Database systems Distributed databases information management Deductive databases information processing Computers Distributed computing

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R-Chord: A Semantic-based Peer Data Management Model

R-Chord: A Semantic-based Peer Data Management Model

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Jie Liu Hai Zhuge Graduate School of Chinese Academy of Sciences China China Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

The key issue of peer data management systems (PDMSs) is how to efficiently organize and manage distributed resources in P2P networks to accurately route queries from the peer initiating the query to appropriate peers to avoid network flooding. This paper proposes a semantic-based PDMS model, called R-Chord, by deploying the resource space model above the Chord overlay for uniformly, normally and effectively organizing and managing resources distributed in P2P networks. Experiments show that, compared to the Chord model, the R-Chord model is more flexible to support semantic-based queries and can significantly decrease the average visiting number of and visiting times on peers for answering queries.

关键词： Resource management Peer to peer computing Knowledge management Computer network management Technology management Large-scale systems Relational databases XML Prototypes intelligent networks

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A novel feature extraction algorithm

A novel feature extraction algorithm

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Shi-Fei Ding Zhong-Zhi Shi Vun-Cheng Wang Shu-Shan Li College of Information Science and Engineering Shandong Agricultural University Taian China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China College of Information Science and Engineering Shandong University of Science and Technology Qingdao China

Feature extraction or selection is one of the most important steps in pattern recognition or pattern classification, data mining, machine learning and so on. In this paper, we introduce the information theory, propose a new concept of probability information distance (PID) and prove that the PID satisfies four requests of axiomatization of the distance. So the PID is a kind of distance measure, which can be used to measure the degree of variation between two random variables. We make the PID be separability criterion of the classes for information feature extraction, and call it PID criterion (PIDC). Based on PIDC, we design a novel algorithm for information feature extraction. Compared with principal components analysis (PCA), correlation analysis etc., the algorithm put forward in this paper had regarded for the class information, and so it is a kind of supervised algorithm of feature extraction. The experimental results demonstrate that the algorithm is valid and reliable, and it provides a new research approach for feature extraction, data mining and pattern recognition.

关键词： Feature extraction Pattern recognition Data mining Algorithm design and analysis Principal component analysis Machine learning algorithms Pattern classification Machine learning information theory Random variables

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A logical foundation for ontology representation in NKI

A logical foundation for ontology representation in NKI

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IEEE International Conference on Natural Language processing and Knowledge Engineering (NLP-KE)

作者： Yu Sun Yuefei Sui Institute of Computer Science and Information Technology Yunnan Normal University Kunming China Graduate School Chinese Academy and Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

A formal representation of ontologies is proposed, based on F-logic and O-logic; and the works in the building of ontologies in NKI. An ontology includes class frames, slot frames, class-slot frames, object frames and axioms. The value restrictions of slots are defined in slot frames. For each slot and each class, there is a class-slot frame representing the specific value restrictions of the slot when defining the class; and the relations between class-slot frames and slot frames are discussed. For a slot in a class frame, its values are inherited to its subclasses without blocking; and its default values are inherited to its subclasses taking overriding, revising and conflict resolution into account. After giving the formal representation of ontologies, the semantics of ontologies are discussed, and main results are presented.

关键词： Ontologies Databases Laboratories intelligent structures information processing Computer science information technology Vocabulary Logic

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Automatic gait recognition based on wavelet reflective symmetry moments

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Journal of information and Computational Science 2005年第2期2卷 421-428页

作者： Zhao, Guoying Cui, Li Xiang, Shiming Li, Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China School of Mathematics Science Beijing Normal University Beijing 100875 China

Gait is an identifying biometric feature. In recent years, Video-based gait recognition is becoming a new challenging problem in the field of computer vision. In this paper, wavelet reflective symmetry moments (WRSMs) have been proposed to describe and recognize gait automatically. WRSMs represent the appearance of people with merits of moments and wavelet analysis and reflect people's symmetrical walking habit. Moments have translation, scale and rotation invariant characteristics;while wavelet analysis is able to extract the multi-resolution features subtly and deal with noise. So combination of wavelet moments and reflective symmetry not only has characteristics of moments and wavelet analysis, but also is in accordance with one of the relative results in psychological researches which state that gait is a type of symmetrical model. Experiments based on USF's database have shown that the application of wavelet reflective symmetry moments in gait recognition leads to relatively high distinguishability of gait with effective noise handling.

关键词： Computer vision

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information feature analysis and improved algorithm of PCA

Information feature analysis and improved algorithm of PCA

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Shi-Fei Ding Zhong-Zhi Shi Yong Liang Feng-Xiang Jin College of Information Science and Engineering Shandong Agricultural University Taian China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China College of Geo-Information Science and Engineering Shandong University of Science and Technology Qingdao China

Principal component analysis (PCA) is an important method in multivariate statistical analysis, and its main idea is compression of dimensionality including variables and samples. In this paper, based on the ideas concerned with information function and information entropy of Shannon information theory, consider the inherent characteristic of eigenvalues of matrix, two new concepts of possibility information function (PIF) and possibility information entropy (PIE) are proposed firstly. On the basis of these, the formulae of information rate (IR) and accumulated information rate (AIR) are set up, by which the degree of information compression is measured. In the end, we improve the PCA algorithm called improved principal component analysis (PCA). Through simulated application in practice, the results show that the IPCA proposed here is efficient and satisfactory. It provides a new research approach of information feature compression for pattern recognition.

关键词： information analysis Algorithm design and analysis Principal component analysis information entropy Educational institutions Agricultural engineering Statistical analysis information theory information rates Geographic information Systems

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Knowledge Energy in Knowledge Flow networks

Knowledge Energy in Knowledge Flow Networks

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Hai Zhuge Weiyu Guo Xiang Li Lianhong Ding China Knowledge Grid Research Group Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate School of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Beijing Beijing CN

A knowledge flow is invisible but it plays an important role in ordering knowledge exchange in teamwork. It can help achieve effective team knowledge management by modeling, optimizing, monitoring and controlling the operation of knowledge flow processes. This paper proposes the notion of knowledge energy as the driving cause of forming an autonomous knowledge flow network, and explores the behind principles. Knowing these principles can help team managers and the support systems improve cooperation by monitoring the knowledge energy of nodes, and by evaluating and adjusting knowledge flows. A knowledge flow network management system can be the high layer of the knowledge grid to help improve the efficiency of distributed knowledge-intensive teamwork.

关键词： Knowledge management Teamwork intelligent networks Monitoring Energy management information processing Computers IP networks Prototypes Routing

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Survey of 3D mesh model segmentation and application

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 2005年第8期17卷 1647-1655页

作者： Sun, Xiaopeng Li, Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China

In this paper, we present a brief summary to 3D mesh model segmentation techniques, including definition, latest achievements, classification and application in this field. Then evaluations on some of typical methods, such as Watershed, topological and geometrical method, are introduced. After some applications are presented, problems and prospect of the techniques are also discussed.

关键词： 3D segmentation Mesh model Segmentation/decomposition Shape features

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Non-parametric foreground/background segmentation method by fusion of intensity and edge feature

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Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 2005年第6期17卷 1278-1284页

作者： Chen, Rui Deng, Yu Xiang, Shiming Li, Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China

This paper presents a novel segmentation method based on a non-parametric background model that has the ability of modeling multi-model. Firstly, both the intensity and edge features are used to improve robustness of the foreground detection. Secondly, we also present an adaptive shadow detection model to find the accurate moving objects. The experiment results show that our proposed method is effective.

关键词： Background subtraction Kernel density estimation Segmentation Shadow removal

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An automatic semantic relationships discovery approach

An automatic semantic relationships discovery approach

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Thirteenth International World Wide Web Conference Proceedings, WWW2004

作者： Zhuge, Hai Zheng, Liping Zhang, Nan Li, Xiang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)158113844X

An important obstacle to the success of the Semantic Web is that the establishment of the semantic relationship is labor-intensive. This paper proposes an automatic semantic relationship discovering approach for constructing the semantic link network. The basic premise of this work is that the semantics of a web page can be reflected by a set of keywords, and the semantic relationship between two web pages can be determined by the semantic relationship between their keyword sets. The approach adopts the data mining algorithms to discover the semantic relationships between keyword sets, and then uses deductive and analogical reasoning to enrich the semantic relationships. The proposed algorithms have been implemented. Experiment shows that the approach is feasible.

关键词： Websites

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