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首页> 外文期刊>Journal of Universal Computer Science >A Study on Context-Relationship with Context-Attributes for a Smart Service Generation in Smart City
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A Study on Context-Relationship with Context-Attributes for a Smart Service Generation in Smart City

机译:智慧城市中智能服务生成中具有上下文属性的上下文关系研究

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摘要

This paper is to study how to provide smart services by analyzing each service history based on Cloud computing in smart cities. Normally, users use each smart device to receive their services while they stay in a place. In case they move and visit to other place, the system prepares the service based on their services history. At that time, although the users had visited and had services in past, this visiting may ask other services. Then the existing system usually generates new service, and next it provides the service to the user. However, this method is inefficient, because the system has to accept the number of process whenever all users request the service. In this paper, it suggests the smart service model that it keeps users' services history, which had used them while the user stays to a place. The system catches the user's visiting with the user's contexts in the smart device. The model considers their plan/purpose based on old services, and it decides if they modifies them by editing extra services. It calls the system optimization and the suggesting method shows better efficiency after experimenting.
机译:本文通过分析基于智慧城市中云计算的每项服务历史,研究如何提供智能服务。通常,用户在停留在某个地方时会使用每个智能设备来接收其服务。如果他们移动并访问其他地方,系统会根据他们的服务历史记录来准备服务。那时,尽管用户过去曾经访问过并获得过服务,但是这种访问可能会询问其他服务。然后,现有系统通常会生成新服务,然后将其提供给用户。但是,此方法效率不高,因为每当所有用户请求服务时,系统都必须接受进程数。在本文中,它提出了一种智能服务模型,该模型可以保留用户的服务历史记录,该记录是在用户停留在某个地方时使用它们的。该系统利用智能设备中的用户上下文来捕获用户的访问。该模型根据旧服务考虑其计划/目的,并决定是否通过编辑其他服务来修改它们。经过实验,该方法称为系统优化和建议方法,具有较好的效率。

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