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工作流加密协调的建模新方法 被引量:1

A NEW METHOD FOR MODELING THE WORK-FLOW ENCRYPTION COORDINATION
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摘要 论文针对目前工作流协同机制中自组织和自适应策略表达能力差等缺陷,探讨了基于树结构的加密协调模型的一种新构建方法.首先,论文描述了基于树结构的加密协调模型并剖析总结了现有体系制约这一模型构建的多种原因;然后以电子公文的处理为例,基于有色Petri网的相关理论,提出了密钥驱动的一种新建模元素.进而,原系统在功能增加的同时API接口并没有发生改变,便于现有使用产品的技术升级. To tackle the problem which is that the present work - flow systems can' t express the policy of self - organizing and self - adapting,the paper has researched on the new method for modeling the work - flow encryption coordinaton based on the tree structure.At first,the paper has built the encryption coordination model based on the tree structure and analyzed the cases that the present systems are difficult in modeling it. Then, referring from the theory of colored petfi net, the new method has emphasized to design the key management. The modeled work - flow has higher performance characteristic without changing the link with API so that it can satisfy the cooperation computation better.
出处 《山东师范大学学报(自然科学版)》 CAS 2007年第2期30-33,共4页 Journal of Shandong Normal University(Natural Science)
基金 国家八六三高技术资助项目(2003AA1Z2320) 山东省科技攻关计划项目(2005GG4201009)
关键词 自适应 协同 加密协调 有色PETRI网 工作流 电子公文 self - adapting cooperation encryption coordination colored petri net work - flow electronic official document
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参考文献8

  • 1Makoto Yokoo,Koutarou Suzuki,Katsutoshi Hirayama.Secure distributed constraint satisfaction:reaching agreement without revealing private information[J].Artificial Intelligence,2005,161:229 ~ 245
  • 2Boi Faltings Makoto Yokoo.Introduction:Special Issue on Distributed Constraint Satisfaction[J].Artificial Intelligence,2005,161:1 ~ 5
  • 3Stuart Russell,Peter Norvig.Artificial Intelligence-A Modern Approach.Jiang Zhe,Jin Yijiang,et al Trans,Second Edition[M].Beijing:Posts&Telecom Press,2004
  • 4Claude Girault,Rudiger Vslk,王生原,等.系统工程Petri网-建模、验证与应用指南[M].北京:电子工业出版社,2005
  • 5Jensen K.An Introduction to the Practical Use of Colored Petri Nets.In:W.Reisig and G.Rozenberg(eds.):Lectures on Petri Nets Ⅱ:Applications,Lecture Notes in Compute Science Vol.1492,Springer-Verlag,1998.237 ~ 292
  • 6董相志,陈伟波,柳新华.我国电子公文的发展演变与前景[J].中国行政管理,2006(11):63-64. 被引量:8
  • 7王静莲,刘弘.多角色协同式强化学习的个性化信息技术[J].计算机工程与应用,2006,42(31):184-187. 被引量:3
  • 8刘弘,王静莲.微粒群优化算法在协同建筑设计中的应用[J].通信学报,2006,27(11):193-198. 被引量:8

二级参考文献35

  • 1刘弘,刘希玉.支持外观造型创新设计的进化计算方法[J].计算机辅助设计与图形学学报,2006,18(1):101-107. 被引量:39
  • 2YU Zhi-wen,ZHOU Xing-she,WU Xiao-jun,et al.A hybrid filter for program personalization[C]//Proceedings of the 2003 IEEE International Conference on Information Technology:Computers and Communications (ITCC2003).Las Vegas,USA:[s.n.],2003:645-649.
  • 3ZHOU Xing-she,YU Zhi-wen,GU Jian-hua,et al.A multi-agent system for personalized and privated service in PDR[C]//Proceedings of the 2003 IEEE International Conference on Information Technology:Computers and Communications(ITCC2003).Las Vegas,USA:[s.n.],2003:635-639.
  • 4MLADENIC D.Machine learning for better Web browsing[C]//ROGERS S,IBA W,eds.AAAI 2000 Spring Symposium Technical Reports on Adaptive User Interfaces.Menlo Park,CA:AAAI Press,2000:82-84.
  • 5PAZZANI M J,MURAMATSU J,BILLSUS D.Syskill & Webert:identifying interesting Web sites[C]//WELD D,CLANCEY B,eds.Proceedings of the 13th National Conference on Artificial Intelligence and 8th Innovative Applications of Artificial Intelligence Conference.Menlo Park,CA:AAAI Press,1996:54-61.
  • 6LIEBERMAN H L.An agent that assists web browsing[C]//BURKE R,ed.Proceedings of the International Joint Conference on Artificial Intelligence.Menlo Park,CA:AAAI Press,1995:924-929.
  • 7BOLLACKER K D,LAWRENCE S,GILES C LDiscovering relevant scientific literature on the Web[J].IEEE Intelligent Systems,2000,15 (2) :42-47.
  • 8ASNICAR F,TASSO C.ifWeb:a prototype of user modelbased intelligent agent for documentation filtering and navigation in the World Wide Web[C]//TASSO C,JAMESON A,PARIS C L,eds.Proceedings of the UM 1997 Workshop on Adaptive Systems and User Modeling on the World Wide Web.West Newton,MA:User Modeling Inc,1997:3-12.
  • 9MOSTAFA J,LAM S W,PALAKAL M.A multilevel approach to intelligent information filtering:model,system,and evaluation[J].ACM Transactions on Information Systems,1997,15(4):368-399.
  • 10CHEN C C,CHEN M C,SUN Y S.PVA:a self-adaptive personal view agent system[C]//SCHKOLNICK M,PROVOST F,SRIKANT R,eds.Proceedings of the 7th ACM SIGKDD International Conference on Knowledge discovery and data mining.New York:ACM Press,2001:257-262.

共引文献19

同被引文献4

  • 1楚扬,赵合计.基于AGENT个性化Web协作学习系统的模型设计[J].山东师范大学学报(自然科学版),2007,22(1):36-38. 被引量:6
  • 2WilvanderAlast KeesvanHee.工作流管理-模型、方法和系统[M].北京:清华大学出版社,2004.30-100.
  • 3GradyBooch JamesRumbaugh IvarJacobson.UML用户指南[M].北京:机械工业出版社,2001..
  • 4James Rumbaugh, Ivar Jacobson, Grady Booch. The Unified Modeling Language Reference Manual[ M]. Addison Wesley Longman. Inc, 1999

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