基于托勒密II的情境感知计算建模方法

Rui Li, Renfa Li, Jigang Wen
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引用次数: 3

摘要

上下文感知计算是一种移动计算范式,其中应用程序可以发现并利用上下文信息。一般来说,上下文感知是一个分布式的、大规模的、复杂的混合系统。在本文中,我们首先提出了一个概念模型,然后我们提出了一个基于托勒密二世的建模方法。在这种方法中,我们将分层建模方法与有限状态机(FSM)相结合,并限制FSM的状态数,然后扩展状态以能够执行预定义脚本并由其他组件建模。这种方法非常有用,并且在上下文感知计算开发中具有许多优点。其中之一是能够降低上下文感知系统建模的复杂性,并支持快速原型开发
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Ptolemy II Based Modeling Approach for Context-Aware Computing
Context-aware computing is a mobile computing paradigm in which applications can discover and take advantage of contextual information. In general, context-aware is a distributed, large scale, sophisticated and hybrid system. In this paper, we first propose a conceptual model for it, and then we present a Ptolemy II based modeling approach. In this approach, we combine a hierarchical modeling methodology with the finite state machine (FSM), and limit the state number of the FSM, then extend state to be capable to execute predefined scripts and modeled by other components. This approach is very useful and has many benefits in context-aware computing development. One of them is capable of reducing the complexity of context-aware system modeling and support rapid prototype development
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