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A Lightweight Distributed Architecture to Integrate Fuzzy Relevant Objects in Real-Time Environments

机译:实时环境中集成模糊相关对象的轻量级分布式体系结构

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The development of intelligent environments from scratch means an arduous and complex process. In these environments, the integration of sensors and the design of processing information in real time are key aspects in order to generate feasible solutions. To shed light on this context, in this contribution, we present an architecture for information processing based on object distribution services. The capture and processing of data are developed ubiquitously within mobile devices and ambient computers by means of peer to peer based on fuzzy temporal subscriptions. The main advantage of the use of fuzzy temporal subscriptions is that the information is received by a subscriber when it reaches a desired level of relevance for this subscriber, implying a decrease in the communication burden in the architecture. In order to illustrate the usefulness and effectiveness of our proposal, a scene of an user performing an activity in an intelligent environment is described by means of his interactions with the environmental objects and the identification of users by marker-based tracking.
机译:从零开始开发智能环境意味着艰巨而复杂的过程。在这些环境中,传感器的集成和实时处理信息的设计是关键的方面,以产生可行的解决方案。为了阐明这一背景,在此贡献中,我们提出了一种基于对象分发服务的信息处理体系结构。数据的捕获和处理是在移动设备和环境计算机中通过基于模糊时间订阅的点对点广泛开发的。使用模糊时间订阅的主要优点是,当信息达到该订户的期望相关性级别时,该信息就会被订户接收,这意味着体系结构中的通信负担得以减轻。为了说明我们的建议的有用性和有效性,通过用户与环境对象的交互以及通过基于标记的跟踪来识别用户,来描述用户在智能环境中执行活动的场景。

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