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5th International Conference on Control and Automation, ICCA'05

作者： Zhang, Jian Sun, Jigui Li, Niya Hu, Chengquan Li, Zehai College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education China

ISBN: (纸本)0780391381

The workflow model is the abstract expression of the workflow or the business process. Following the WfMC reference model, a PKI-based lightweight workflow model named as PBLW is put forward in this paper. The framework of PBLW is proposed. Based on the time constraint directed graph, the workflow theory model in formalization is described in detail, and the time constraint problems are discussed in order to enhance the time management ability of the workflow model. Furthermore, in order to express the complicated secure access control constraint of the workflow, a conditioned RBAC model based on PKI technology is presented, according to the traditional RBAC security access control model. Finally, the workflow engine driven algorithms for the workflow instance are given. By the actual inspection and users' feedback, it proves that this model can express the basic requirements of a majority of the process applications. © 2005 IEEE.

关键词： Electronic document identification systems

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A Fuzzy neural network system based on generalized class cover and particle swarm optimization

A Fuzzy neural network system based on generalized class cov...

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International Conference on Intelligent Computing, ICIC 2005

作者： Huang, Yanxin Wang, Yan Zhou, Wengang Yu, Zhezhou Zhou, Chunguang College of Computer Science and Technology Jilin University Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry Changchun 130012 China

A voting-mechanism-based fuzzy neural network system is proposed in this paper. When constructing the network structure, a generalized class cover problem is presented and its two solving algorithm, an improved greedy algorithm and a binary particle swarm optimization algorithm, are proposed to get the class covers with relatively even radii, which are used to partition fuzzy input space and extract fewer robust fuzzy IF-THEN rules. Meanwhile, a weighted Mamdani inference mechanism is adopted to improve the efficiency of the system output and a real-valued particle swarm optimization-based algorithm is used to refine the system parameters. Experimental results show that the system is feasible and effective. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Neural networks

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Approximated non-tensor pre-wavelets neural network based on compound training algorithm

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Journal of Information and computational Science 2005年第4期2卷 715-722页

作者： Li, Ying Deng, Zhidong Zou, Xi Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China Key Laboratory of Symbol Computation and Knowledge Engineering College of Computer Science and Technology Jilin University Changchun 130021 China Institute of Mathematics Jilin University Changchun 130021 China

In this paper, we propose a new supervised compound learning algorithm for training our constructed approximated bivariate non-tensor product adaptive pre-wavelet neural network (APWNN). On the one hand, the linear weights of APWNN are trained by the self-adaptive learning rate method. On the other hand an extended Kalman filter method is used to update the nonlinear parameters such as dilation parameters and translation parameters. Additionally we demonstrate the efficiency of our proposed method through a concrete example of function approximation.

关键词： Neural networks

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Image registration based on pseudo-polar FFT and analytical fourier-mellin transform

Image registration based on pseudo-polar FFT and analytical ...

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International Conference on Intelligent Computing, ICIC 2005

作者： Guo, Xiaoxin Xu, Zhiwen Lu, Yinan Liu, Zhanhui Pang, Yunjie College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Qianjin Street 2699 Changchun 130012 China

ISBN: (纸本)9783540282266

This paper proposes a novel registration algorithm based on Pseudo-Polar Fast Fourier Transform (FFT) and Analytical Fourier-Mellin Transform (AFMT) for the alignment of images differing in translation, rotation angle, and uniform scale factor. The proposed algorithm employs the AFMT of the Fourier magnitude to determine all the geometric transformation parameters with its property of the invariance to translation and rotation. Besides, the proposed algorithm adopt a fast high accuracy conversion from Cartesian to polar coordinates based on the pseudo-polar FFT and the conversion from the pseudo-polar to the polar grid, which involves only ID interpolations, and obtain a more significant improvement in accuracy than the conventional method using cross-correlation. Experiments show that the algorithm is accurate and robust regardless of white noise. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image processing

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A study on parallel semantics of constraint logic rograms

A study on parallel semantics of constraint logic rograms

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Sun, Ji.-Gui Zhang, Yong-Gang College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory for Symbolic Computation and Knowledge Engineering Ministry of Education Changchun 130012 China

ISBN: (纸本)078039092X

This paper presents two parallel semantics of constraint logic programs: multiset answer constraint semantics and game semantics, which differ entirely from the traditional semantics. When giving the first semantics, it adopts the s-semantics approach, whose aim is to find notions of models which really capture the operational semantics. And it defines the program equivalence based on multiset answer constraint. Then it investigates the game semantics and proves that it is consistent with traditional operational semantics. On the basis of these two semantics, programmers can comprehend the programs deeply and develop more sound parallel constraint logic programming systems. Finally, it gives the conclusions and future work. © 2005 IEEE.

关键词： Semantics

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Mining attributes' sequential patterns for error identification in data set

Mining attributes' sequential patterns for error identificat...

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Liu, Ya-Bo Liu, Da-You College of Computer Science and Technology Jilin University Changchun 130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)078039092X

It is well recognized that sequential pattern mining plays an essential role in many scientific and business domains. In this paper, a new extension of sequential pattern, attributes' sequential pattern, is proposed. An attributes' sequential pattern is a sequence of attributes, whose values commonly occur in ascending order over data set. After each record in data set is transformed into an attributes' sequence according to their ordinal values, attributes' sequential patterns can be mined by means of mining sequential patterns. But our work is different from sequential pattern mining. One use of attributes' sequential patterns is to identify possible errors in data set for data cleaning, in which the values of attributes break the attributes' sequential patterns which most of the data conform to. Experiments verify the high efficiency of the method presented. © 2005 IEEE.

关键词： Data mining

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Information flow security for interactive systems

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International Conference on Embedded and Ubiquitous Computing, EUC 2005

作者： Jin, Ying Liu, Lei Zheng, Xiao-Juan Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education of P.R. China Changchun 130012 China Software College Northeast Normal University Changchun 130117 China

ISBN: (纸本)3540308075

The use of the Internet raises serious behavioural issues regarding, for example, security and the interaction among agents that may travel across links. Model-building such interactive systems is one of the biggest current challenges in computer science. A general model, action calculi, has been introduced by Robin Milner to unify the various emerging disciplines of interactive behaviour. In this paper action calculi is used as an abstraction of interactive systems and information flow security properties of such systems are studied. At first an information flow analysis for static action calculi is presented to predict how data will flow both along and inside actions and its correctness is proved;Next basing on the result of the analysis information security properties of both static and dynamic action calculi are discussed;Finally a general relationship are established between the static notation of information flow security and the dynamic one. © IFIP International Federation for Information Processing 2005.

关键词： Interactive computer systems

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Reasoning about ceteris paribus preference with constraint hierarchy framework

Reasoning about ceteris paribus preference with constraint h...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Yong-Gang Zhang Ji-Gui Sun Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

CP-networks provide a convenient means for expressing preferences in reasoning, but it is not good at handling preferences with hard constraints. The paper proposes a new approach, which transforms the CP-network with hard constraints into one constraint hierarchy, therefore one could process preferences and constraints in a single formalism with fruitful constraint solving algorithms. Furthermore, illustrates it with some examples, proves that the transformation preserves the ceteris paribus property and presents some complexity results. Finally compares it with related work and concludes the paper.

关键词： Artificial intelligence Graphical models Bayesian methods Sun Educational institutions Computer science Educational technology Laboratories knowledge engineering Computer science education

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A Distributed Q-Learning Algorithm for Multi-Agent Team Coordination

A Distributed Q-Learning Algorithm for Multi-Agent Team Coor...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jing Huang Bo Yang Da-You Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

Q-learning is an effective model-free reinforcement learning algorithm. However, Q-learning is centralized and competent only for single agent learning but not multi-agent learning because in later case the size of state-action space is huge and will grow exponentially with the number of agents increasing. In the paper we present a distributed Q-learning algorithm to solving this problem. In our algorithm, the tasks of learning optimal action policy are distributed to each agent in team but not a central agent. In order to reduce the size of action-state space of multi-agent team we introduce a state-action space sharing strategy of agent team, through which one agent in team can use the states already explored by other agents before and need not take time to explore these states again. Additionally, our algorithm has the ability to allocate sub-goals dynamically among agents according to environment changing, which can make agent team coordinate more efficiently. Experiments show the efficiency of our algorithm when it is applied to the benchmark problem of predator-prey pursuit game, also called pursuit game, in which a team of predators coordinate to capture a prey.

关键词： Machine learning algorithms Pursuit algorithms Multiagent systems Educational institutions Computer science Educational technology Laboratories knowledge engineering Computer science education Learning systems

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A DYNAMIC CONSTRAINT SOLVING SCHEME FOR SEMI ON-LINE SCHEDULING PROBLEMS

A DYNAMIC CONSTRAINT SOLVING SCHEME FOR SEMI ON-LINE SCHEDUL...

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IFIP TC12 WG12.5-Second IFIP Conference on Artificial Intelligence Applications and Innovations(AIAI2005)

作者： Juyang Zhang Jigui Sun Yonggang Zhang College of Computer Science & Technology Jiiin University Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education

Most of real-life scheduling problems are semi on-line scheduling,where we do not know all the time variables of jobs in ***,solving such dynamic problems is a hot topic of research in Constraint *** this paper we analyze the constraints in the semi on-line scheduling problems and introduce the concept of monotonic about constraints which appear in general dynamic constraint *** designed a generic dynamic constraint solving algorithm for solving the scheduling *** give an example of its application to semi on-line discrete resource-constrained scheduling problem(ship-loading problem).

关键词： Scheduling Semi On-line Constraint Solving Monotonic

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