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A PKI-based lightweight workflow model

A PKI-based lightweight workflow model

引用

International Conference on Control and Automation (ICCA)

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

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 PKJ 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.

关键词： Engines Time factors educational technology Laboratories knowledge engineering Computer science education Constraint theory Access control Workflow management software Computer science

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Applying change impact analysis and design metrcs in CBR based software design improvement

Applying change impact analysis and design metrcs in CBR bas...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Tie Feng Jiachen Zhang Wenjin Li Key Laboratory Symbolic Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun Jilin China

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A study on parallel semantics of constraint logic programs

A study on parallel semantics of constraint logic programs

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

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

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.

关键词： Logic programming Sun educational institutions Computer science educational technology Laboratories Concurrent computing knowledge engineering Computer science education educational programs

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CommonCube-based conceptual modeling of ETL processes

CommonCube-based conceptual modeling of ETL processes

引用

International Conference on Control and Automation (ICCA)

作者： Zehai Li Jigui Sun Haihong Yu Jian Zhang College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ETL tools are responsible for the extraction of data from sources, their cleansing and loading into a target data warehouse. However, nowadays, the design and development of ETL processes are performed in an in-house fashion, and need uniformed methodological foundations. In this paper, we propose a novel conceptual model for the modeling of ETL processes. We employ CommonCubes to represent the cubes in a target data warehouse. CommonCubes release the design of ETL processes from overdependence on the physical schema of the target data warehouse, and enable the designers to pay more efforts to data transforming than data loading when designing ETL processes. Based on the constraint functions on source attributes and the transforming operations on target attributes, we define ETL mappings 1:0 capture the semantics of various relationship cardinalities between source attributes and target attributes, which provide a good basis for the design of ETL processes.

关键词： data warehouses data mining Cleaning Computer science Process design Costs educational technology Laboratories knowledge engineering Computer science education

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Nondestructive quantitative analysis of compound paracetamol and diphenhydramine hydrochloride powder using RBF networks

Nondestructive quantitative analysis of compound paracetamol...

引用

International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Zheng, Hong Wan, Li.-Ming Jiang, Jing-Qing Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China College of Computer Science and Engineering Changchun University of Technology Changchun 130012 China Institute of General Development and Evaluation of Equipment EAAF of PLA Beijing 100076 China College of Mathematics and Computer Science Inner Mongolia University for Nationalities Tongliao 028043 China

ISBN: (纸本)078039092X

A method for simultaneous analysis of the two components of compound paracetamol and diphenhydramine hydrochloride powdered drugs on near-infrared (NIR) spectroscopy is developed by using a Radial Basis Function (RBF) network. Nearest neighbor-clustering algorithm is used as the learning algorithm of RBF network. Comparisons of the results obtained from the RBF models with those from BP models show that it is feasible to use the RBF network in nondestructive quantitative analysis of the components of drugs. © 2005 IEEE.

关键词： Neural networks

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Medicine composition concentration analysis based on least square support vector machine

Medicine composition concentration analysis based on least s...

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Guo, Xin-Chen Chen, Zhou-Yi Teng, Li-Rong Wu, Chun-Guo Du, Tian-Bao Lu, Jia-Hui Meng, Qing-Fan Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China College of Science NortheastChinaInstituteofElectricPowerEngineering Jilin 132012 China Institute of General Development and Evaluation of Equipment EAAF PLA Beijing 100076 China College of Life Science Jilin University Changchun 130012 China

ISBN: (纸本)078039092X

This paper presents a method of medicine composition concentration analysis based on least square support vector machines (LS-SVMs) and examines the importance of the hyperparameter choice in improvement of algorithm performance. Simulation results show that the proposed method obtains high quality precision in the generalization, compared with multiple linear regression, and that it is an efficient approach to regression estimation. © 2005 IEEE.

关键词： Medicine

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Medicine composition concentration analysis based on least square support vector machine

Medicine composition concentration analysis based on least s...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Xin-Chen Guo Zhou-Yi Chen Li-Rong Teng Chun-Guo Wu Tian-Bao Du Jia-Huilu Qing-Fan Meng Yan-Chun Liang College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Changchun China College of Science Northeast China Institute of Electric Power Engineering Jilin China EAAF of PLA Institute of General Development and Evaluation of Equipment Beijing China College of Life Science Jilin University Changchun China

关键词： Least squares methods Support vector machines educational institutions Performance analysis Algorithm design and analysis knowledge engineering Linear regression Spectral analysis Quadratic programming Lagrangian functions

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Realize utility-driven decision theoretic planning on the planning graph

Realize utility-driven decision theoretic planning on the pl...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： You-hong Zhang Ming-hao Yin Wen-xiang Gu Department of Information and Mathematics College of Science Foshan University Foshan China School of Computer Science Northeast Normal University Changchun Jilin China Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China

This paper presents a new model to incorporate decision theory into Graphplan framework, which enables our planner to handle uncertainty and make decision to choose the optimal one among a set of hypothesis valid plans. This planer, called UTDP is tested on several experimental domains. And the experimental results show that UTGP is sound and efficient and performs better than the famous probabilistic planner Buridan.

关键词： Uncertainty Decision theory Strips Mathematics educational institutions Computer science Laboratories Computer science education Electronic mail Mathematical model

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A conditioned secure access control model on multi-weighted roles in workflow system

A conditioned secure access control model on multi-weighted ...

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International Conference on Control and Automation (ICCA)

作者： Jian Zhang Jigui Sun Niya Li Chengquan Hu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China Jilin University Changchun Jilin CN Coll. of Comput. Sci. & Technol. Jilin Univ. Changchun China

The traditional RBAC model already cannot express the complicated secure access control constraint of the workflow. Based on the traditional RBAC model, a new conditioned RBAC model named as CMWRBSAC is proposed on the basis of multi-weighted roles. A conditioned RBAC strategy is discussed on the basis of dynamic role assignment. A new concept of workflow access authorization is defined on the basis of roles with multi-weights, including the hierarchy weight, the degree weight and the sequence weight. Furthermore, in order to solve the problems of the sequence constraint of cooperative activating task by multi-roles and multi-users, a sort algorithm based on token and a sort algorithm based on weighted roles synthesis are presented respectively. Finally, an example is given to show the work processes of these algorithms. This model can express complicated workflow secure access control constraint.

关键词： Access control educational technology Laboratories knowledge engineering Computer science education Computer science Sun Authorization Control engineering education NIST

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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)

作者： Ya-Bo Liu Da-You Liu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN Coll. of Comput. Sci. & Technol. Jilin Univ. Changchun China

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.

关键词： Cleaning data mining Diseases Itemsets Computer errors Pattern recognition educational institutions Computer science educational technology Laboratories

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