首页> 外文会议>Embedded and Ubiquitous Computing Workshops : UISW, NCUS, SecUbiq, USN, and TAUES >Integrated Multimedia Understanding for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory
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Integrated Multimedia Understanding for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory

机译:基于心理形象的语义理论,对无处不在的智慧的综合多媒体了解

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An ideal ubiquitous computing environment can be a network system of such intelligent and human-friendly robots that never appear in front of humans except when needed. In this paper the distributed intelligent robot network (DIRN) is proposed as one kind of wireless sensor and actor networks (WSAN) consisting of one brain node and numerous sensor and actor nodes with human-friendly interfaces. In order to realize well-coordinated DIRNs, it is very important to develop a systematically computable knowledge representation language universal for any kind of device as well as efficient networking technologies. As a candidate for this purpose, the multimedia description language Lmd was evaluated by applying it to simulation of DIRN-world interaction.
机译:除了在需要时,普遍存在的计算环境可以是这种智能和人类友好的机器人的网络系统,这些机器人从未出现在人类面前。在本文中,分布式智能机器人网络(DIRN)被提出为一种无线传感器和演员网络(WSAN),包括一个脑节点和具有人友好接口的众多传感器和演员节点。为了实现良好协调的恐怖,为任何类型的设备以及有效的网络技术开发系统性可计算的知识表示语言普遍非常重要。作为此目的的候选者,通过将其应用于模拟Dirn-World Interaction来评估多媒体描述语言LMD。

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