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Packet-based context aware system to determine information system user's context

机译：基于分组的上下文感知系统，用于确定信息系统用户的上下文

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摘要

Context awareness has been a vital field of ubiquitous computing research. Numerous methods for capturing, interring external context and providing necessary service have been developed and relevant projects have been performed. However, user's internal context is more valuable than the external one. Thus, more searches on internal context are needed. This paper confines its research domain to the internet based information system (IS) in order to infer the internal context of user. For inferring internal context in this IS domain, one of the computer network techniques, packet sniffing technique, is utilized. This is effective and efficient in acquiring the information of the user's demand. Also, inference algorithm which is integrated with the acquired user's information is proposed. Furthermore, this paper demonstrates that the prototype system adopts the suggested technique and algorithm in order to prove its validity. The proposed prototype system is the basis of providing IS user with ubiquitous services and enhances the convenience and efficiency during business hour of IS user. In this fashion, this paper presents a new pattern of context acquisition and inference in implementing the ubiquitous computing based-IS along with the direction of internal context awareness research.
机译：上下文感知已成为无处不在的计算研究的重要领域。已经开发了许多用于捕获，干预外部环境并提供必要服务的方法，并且已经执行了相关项目。但是，用户的内部环境比外部环境更有价值。因此，需要对内部上下文进行更多搜索。本文将其研究范围限制在基于Internet的信息系统（IS）中，以推断用户的内部环境。为了推断该IS域中的内部上下文，利用了计算机网络技术之一的分组嗅探技术。这在获取用户需求信息方面是有效和高效的。此外，提出了与获取的用户信息集成的推理算法。此外，本文证明了原型系统采用建议的技术和算法以证明其有效性。所提出的原型系统是为IS用户提供无所不在的服务的基础，并提高了IS用户在工作时间内的便利性和效率。以这种方式，本文提出了一种新的上下文获取和推理模式，以实现基于IS的无处不在的计算以及内部上下文感知研究的方向。

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