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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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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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Divergence-based supervised information feature compression algorithm

Divergence-based supervised information feature compression ...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Ding, Shi-Fei Shi, Zhong-Zhi College of Information Science and Engineering Shandong Agricultural University Taian 271018 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)354034439X

In this paper, a novel supervised information feature compression algorithm based on divergence is set up. Firstly, according to the information theory, the concept and its properties of the divergence, i.e. average separability information (ASI) is studied, and a concept of symmetry average separability information (SASI) is proposed, and proved that the SASI here is a kind of distance measure, i.e. the SASI satisfies three requests of distance axiomatization, which can be used to measure the difference degree of a two-class problem. Secondly, based on the SASI, a compression theorem is given, and can be used to design information feature compression algorithm. Based on these discussions, we design a novel supervised information feature compression algorithm based on the SASI, At last, the experimental results demonstrate that the algorithm here is valid and reliable. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Algorithms

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A framework for automated test generation in intelligent tutoring systems 1

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1st International Conference on Knowledge science, Engineering and Management, KSEM 2006

作者： Suqin, Tang Cungen, Cao College of Computer Science and Information Technology Guangxi Normal University Guilin 541004 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (数字)9783540370352

ISBN: (纸本)3540370331

intelligent tutoring systems have being extensively researched, and are viewed as cost-effective alternatives to traditional education. However, it has been long recognized that development of such systems is labor-intensive and time-consuming, and that a certain degree of automation in the development process is necessary. This paper proposes a framework for automating test generation - one of the key components in an intelligent tutoring system. The core of the framework is a domain conceptual model, a collection of testing goals, and a collection of test-generation rules, and the latter two are formulated from an analysis of various modes of error and on the basis of the domain conceptual model. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Artificial intelligence

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Description of fuzzy first-order modal logic based on constant domain semantics

Description of fuzzy first-order modal logic based on consta...

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High-Power Diode Laser Technology and Applications IV

作者： Zhang, Zaiyue Sui, Yuefei Cao, Cungen Department of Computer Science Jiangsu University of Science and Technology Zhenjiang Jiangsu 212003 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)0819461466

As an extension of the traditional modal logic, the fuzzy first-order modal logic is discussed in this paper. A description of fuzzy first-order modal logic based on constant domain semantics is given, and a formal system of fuzzy reasoning based on the semantic information of models of first-order modal logic is established. It is also introduced in this paper the notion of the satisfiability of the reasoning system and some properties associated with the satisfiability are proved. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Formal logic

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Optimization feature compression and FNN realization

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作者： Ding, Shifei Wang, Yuncheng Shi, Zhongzhi Jin, Fengxiang College of Information Science and Engineering Shandong Agricultural University Taian 271018 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China College of Geo-Information Science and Engineering Shandong University of Science and Technology Qingdao 266510 China

ISBN: (纸本)3540372555

Feature compression is one of the most importmant steps in pattern recognition. In this paper, based on minimum squared error (MSE) rule, we first give discrete K-L transform (DKLT). According to idea of entropy function, we propose two new entropy functions-entropy density function (EDF) and representation entropy (RE), by which we can metricize information content of data matrix X. Secondly, an optimization feature compression is put forward and information compression degree is measured by feature compression rate (FCR) and accumulated feature compression rate (AFCR) proposed by authors firstly. In the end, we give an adaptive feedforward neural network (FNN) and improved adaptive FNN to realize optimization feature compression This method can be applied in Biology, Biomathematics, Ecology, and Bioinformation science and so on for optimization feature compression. Keywords: Keywords: pattern recognition, optimization feature compression, entropy density function (EDF), representation entropy (RE), feedforward neural network (FNN). © Springer-Verlag Berlin/Heidelberg 2006.

关键词： Feedforward neural networks

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The graph-theoretical properties of partitions and information entropy

The graph-theoretical properties of partitions and informati...

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High-Power Diode Laser Technology and Applications IV

作者： Cao, Cungen Sui, Yuefei Xia, Youming Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Department of Computer Science Yunnan Normal University Kunming 650092 Yunnan China

ISBN: (纸本)0819461466

The information entropy, as a measurement of the average amount of information contained in an information system, is used in the classification of objects and the analysis of information systems. The information entropy of a partition is non-increasing when the partition is refined, and is related to rough sets by Wong and Ziarko. The partitions and information entropy have some graph-theoretical properties. Given a non-empty universe U, all the partitions G on U are taken as nodes, and a relation V between partitions are defined and taken as edges. The graph obtained is denoted by (G, V), which represents the connections between partitions on U. According to the values of the information entropy of partitions, a directed graph (G, V&rarr) is defined on (G, V). It will be proved that there is a set of partitions with the minimal entropy;and a set of partitions with the maximal entropy;and the entropy is non-decreasing on any directed pathes in (G, V) from a partition with the minimal entropy to one of the partitions with the maximal entropy. Hence, in (G, V), the information entropy of partitions is represented in a clearly structured way. © Springer-Verlag Berlin Heidelberg 2005 information systems, information entropy, classification, partitions.

关键词： information analysis

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Network anomalous intrusion detection using Fuzzy-Bayes

Network anomalous intrusion detection using Fuzzy-Bayes

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4th IFIP TCI2 International Conference on intelligent information processing, IIP 2006

作者： Adetunmbi, Adebayo O. Shi, Zhiwei Shi, Zhongzhi Adewale, Oiumide S. Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100080 China Department of Computer Science Federal University of Technology Ondo State Nigeria

Security of networking systems has been an issue since computer networl

ISBN: (纸本)9780387446394

Security of networking systems has been an issue since computer networl

关键词： Intrusion detection

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Beyond Knowledge Engineering

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Journal of Computer science & Technology 2006年第5期21卷 790-799页

作者：陆汝钤金芝 Academy of Mathematics and System Science Chinese Academy of Sciences Beijing 100080 P.R. China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 P.R. China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai 200333 P.R. China Beijing Key Lab of Multimedia and Intelligent Software Beijing University of Technology Beijing 100083 P.R. China

Knowledge engineering stems from E. A. Figenbaum＇s proposal in 1977, but it will enter a new decade with the new challenges. This paper first summarizes three knowledge engineering experiments we have undertaken to show possibility of separating knowledge development from intelligent software development. We call it the ICAX mode of intelligent application software generation. The key of this mode is to generate knowledge base, which is the source of intelligence of ICAX software, independently and parallel to intelligent software development. That gives birth to a new and more general concept ＂knowware＂. Knowware is a commercialized knowledge module with documentation and intellectual property, which is computer operable, but free of any built-in control mechanism, meeting some industrial standards and embeddable in software/hardware. The process of development, application and management of knowware is called knowware engineering. Two different knowware life cycle models are discussed： the furnace model and the crystallization model. Knowledge middleware is a class of software functioning in all aspects of knowware life cycle models. Finally, this paper also presents some examples of building knowware in the domain of information system engineering.

关键词： knowledge engineering knowware knowware engineering knowledge middleware domain knowware

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The study of classification of motor imaginaries based on kurtosis of EEG

The study of classification of motor imaginaries based on ku...

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13th International Conference on Neural information processing, ICONIP 2006

作者： Xiaopei, Wu Zhongfu, Ye Key Laboratory of Intelligent Computing and Signal Processing of MOE Anhui University Hefei 230039 Anhui province China Department of Electronic Engineering and Information Science USTC Hefei 230037 Anhui province China

ISBN: (纸本)3540464840

In this paper, the kurtosis-based method for the classification of mental activities is proposed. The EEG signals were recorded during imagination of left or right hand movement. The kurtosis of EEG and its dynamic properties with respect to time are analyzed. The experiment results show that the kurtosis can reflect the EEG pattern changes of different motor imageries. According to the analysis and experiment results, a kurtosis based classifier for the classification of left and right movement imagination is designed. This classifier can achieves near 90% correct rate. As the kurtosis is computationally less demanding and can also be estimated in on-line way, so the new method proposed in this paper has the practicability in the application of brain-computer interface. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Neurology

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