泛在计算环境下基于上下文的数据验证方法

Keonsoo Lee, Seungmin Rho, Minkoo Kim
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引用次数: 0

摘要

对环境的识别能力是普适计算系统应具备的最重要功能之一。通过对环境的识别,系统可以执行运行时配置和基于语义的流程分支等智能行为。这种识别可以用作系统的上下文??S决策。在正确的背景下,系统可以做出正确的决策。本文提出了一种数据验证方法。此方法验证环境的感测数据。从经过验证的数据中,可以生成更可靠的环境识别。该方法采用概率论对验证数据的可靠程度进行标记,利用机器学习对验证数据的语义进行解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context Based Data Verifying Method in Ubiquitous Computing Environment
The ability of recognizing the environment is one of the most important functions that the ubiquitous computing system should have. With the recognition of the environment, the system can execute intelligent behaviors such as runtime configuration and semantic based process branch. This recognition can be used as context for system???s decision making. And with correct context, the system can make a proper decision. In this paper, data verifying method is proposed. This method validates the sensed data for the environment. From the proved data, the more reliable recognition of the environment can be generated. The proposed method employs probability theory for marking the reliable degree and machine learning for interpreting the semantic meaning of validated data.
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