The Experts below are selected from a list of 783 Experts worldwide ranked by ideXlab platform
Kai Wang - One of the best experts on this subject based on the ideXlab platform.
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Cloud Computing for Agent-Based Urban Transportation Systems
IEEE Intelligent Systems, 2011Co-Authors: Zhenjiang Li, Cheng Chen, Kai WangAbstract:Agent-based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to use traffic strategy agents and mass transport data effectively. This article reviews the history of the development of traffic control and management systems within the evolving computing paradigm and shows the state of traffic control and management systems based on mobile Multiagent Technology.
Zhenjiang Li - One of the best experts on this subject based on the ideXlab platform.
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Cloud Computing for Agent-Based Urban Transportation Systems
IEEE Intelligent Systems, 2011Co-Authors: Zhenjiang Li, Cheng Chen, Kai WangAbstract:Agent-based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to use traffic strategy agents and mass transport data effectively. This article reviews the history of the development of traffic control and management systems within the evolving computing paradigm and shows the state of traffic control and management systems based on mobile Multiagent Technology.
Cheng Chen - One of the best experts on this subject based on the ideXlab platform.
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Cloud Computing for Agent-Based Urban Transportation Systems
IEEE Intelligent Systems, 2011Co-Authors: Zhenjiang Li, Cheng Chen, Kai WangAbstract:Agent-based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to use traffic strategy agents and mass transport data effectively. This article reviews the history of the development of traffic control and management systems within the evolving computing paradigm and shows the state of traffic control and management systems based on mobile Multiagent Technology.
Guochang Li - One of the best experts on this subject based on the ideXlab platform.
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ICDMA - The Multiagent Stress Analysis and Design of Rectangular Tube Forming
2011 Second International Conference on Digital Manufacturing & Automation, 2011Co-Authors: Guochang LiAbstract:Analyses the characteristics of fitness equipment with rectangular tubes, which use the first round and the rear square and skew rolLing forming process according to its different ratio of long and wide, given the sChematic diagram of forming process and the basic calculation method of caLiber design, using the Multiagent Technology analyzing the stress situation of skew rolLing process of the rectangular tubes, then estabLishing corresponding Agent stressing model. In determining the basis of forming passes, determine the deformation amount and corner quantity per passes, and reaLized the forming process of virtual in computer.
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The Multiagent Forming Stress Analysis and Design of Cold Bending Centre Sill
Advanced Materials Research, 2011Co-Authors: Guochang LiAbstract:By means of analyzes the differences of mechanical properties between railway wagon with cold bending centre sill steel and common cold-formed steel, to study the differences resilience by different materials, final this given the forming principle and molding pass of cold bending centre sill. Analysis the stress state of the forming process of cold bending centre sill with Multiagent Technology, establish corresponding Agent force model. In determining the basis of forming passes, then determining the deformation per passes and the amount of bended, furthermore realized the forming process of virtual in computer.
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The Multiagent Stress Analysis and Design of Rectangular Tube Forming
2011 Second International Conference on Digital Manufacturing & Automation, 2011Co-Authors: Guochang LiAbstract:Analyses the characteristics of fitness equipment with rectangular tubes, which use the first round and the rear square and skew rolling forming process according to its different ratio of long and wide, given the schematic diagram of forming process and the basic calculation method of caliber design, using the Multiagent Technology analyzing the stress situation of skew rolling process of the rectangular tubes, then establishing corresponding Agent stressing model. In determining the basis of forming passes, determine the deformation amount and corner quantity per passes, and realized the forming process of virtual in computer.
Zhensu Lu - One of the best experts on this subject based on the ideXlab platform.
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SOSE - Decentralized workflow modeling and execution in service-oriented computing environment
IEEE International Workshop on Service-Oriented System Engineering (SOSE'05), 2005Co-Authors: Hongxin Li, Zhensu LuAbstract:In this paper, workflow management Technology is used to achieve business process integration. The main idea is that the services provided by the business processes of an enterprise are implemented as corresponding workflow models, which can be considered to be "black boxes", but can be subscribed and reused as subworkflows by the service requestors in defining their own workflow models. The meta model for supporting the proposed workflow modeling is given. The peer-to-peer interaction between workflow engines, the invoking of applications, and the monitoring and control of process instances can all be implemented as Web services. In order to endow this workflow management paradigm with more flexibility, Multiagent Technology is used to perceive environment change, and to create adapted process definition through negotiation. Agents negotiate with KQML, but the communication is implemented with Web service model. The interfaces of the agents are defined with WSDL. KQML messages are mapped into SOAP messages.
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Decentralized workflow modeling and execution in service-oriented computing environment
IEEE International Workshop on Service-Oriented System Engineering (SOSE'05), 2005Co-Authors: Hongxin Li, Zhensu LuAbstract:In this paper, workflow management Technology is used to achieve business process integration. The main idea is that the services provided by the business processes of an enterprise are implemented as corresponding workflow models, which can be considered to be "black boxes", but can be subscribed and reused as subworkflows by the service requestors in defining their own workflow models. The meta model for supporting the proposed workflow modeling is given. The peer-to-peer interaction between workflow engines, the invoking of applications, and the monitoring and control of process instances can all be implemented as Web services. In order to endow this workflow management paradigm with more flexibility, Multiagent Technology is used to perceive environment change, and to create adapted process definition through negotiation. Agents negotiate with KQML, but the communication is implemented with Web service model. The interfaces of the agents are defined with WSDL. KQML messages are mapped into SOAP messages.