Along with the continuous development of the social economy and living standard, the expectation which people treat the products of clothing become more and more high. In this paper, the cloud computing was adopted to further enhance the support for the design and sale of the clothing. Through the analysis of the design ideas for 3d fashion design and visual store, a 3d design cloud platform with best visual display effect was constructed. Besides, aiming at the 3d animatic content in the fashion design and visual store, the high- performance rendering cluster system was planned to support the function. Multiple computers were utilized to render one scene file in union. During the rendering, the cluster were supervised and controlled to render the sequencing frame of the movies or images. After later synthesis, the final animation was finished and the rendering results were stored.
Aiming at the requirements of urgency and dynamics in emergency logistics, this paper presents a multi-agent system (MAS) concept model for emergency logistics collaborative decision making. The suggested model includes three kinds of agents, i.e., role agent, function agent and assistant agent. Role agent excutes emergency logistics activities, function agent achieves the task requirements in every work phase and assistant agent helps organizing and visiting data. Two levels agent views serve as the basic skeleton of the MAS. Top level is the global decision-making view, which describes the task distribution process with multiple agents. Local level is the execution planning view, which simulates task executing process of the performer. Finally, an extended BDI agent structure model is proposed to help the implementation at application level.
Due to the command and control relationship in emergency logistics process, the emergency logistics agent shows some semi-autonomous features as it is not completely autonomous. Aiming at the implementation of the semi-autonomous feature, this paper presents a control structure as the basis of communication among the role agents in emergency logistics multi-agent system. The suggested control structure is composed by the controller, communicator and control property set. The control property set and its corresponding ACL primitive is the core of the whole structure for representing the semi-autonomous feature, which can simulate the control behavior in the practical emergency logistics process. By means of the control property set, the controller can set the control property to the preparing information for transmission, and the communicator can encapsulate the preparing information into the FIPA ACL message with the extended control primitive. Finally, an illustrative example of multi-agent communication is proposed to validate the effectiveness of the suggested semi-autonomous structure.
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