A Framework for Perceptual Functions of Symbiotic Computing

S. Konno, Y. Manabe, S. Fujita, K. Sugawara, Tetsuo Kinoshita, N. Shiratori
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引用次数: 3

Abstract

Recently, the research for the system to recognize user's intention, action and satisfaction rating by combining sensor data and knowledge, and provide the user with high-satisfactory service is advanced. In this paper, we propose a framework for perceptual functions of symbiotic computing. The perceptual function is generated the awareness corresponding to the application from the sensor data. And the awareness is necessary in order to understand the user's intention, action and satisfaction rating. The perceptual function chooses the necessary one from various and huge time-series data collected by the sensor network. And, a necessary awareness is refined and generated through a lot of steps in cooperation with other perceptual functions according to the request of the application. In this paper, we design perceptual function framework and experimental system for teleworker.
共生计算的感知函数框架
近年来,将传感器数据与知识相结合,实现系统对用户意图、行为和满意度评价的识别,为用户提供高满意度服务的研究取得了进展。在本文中,我们提出了一个共生计算的感知函数框架。感知函数是根据传感器数据生成与应用相对应的感知。为了了解用户的意图、行为和满意度评价,意识是必要的。感知函数从传感器网络采集的海量时间序列数据中选择需要的感知函数。根据应用程序的要求,通过与其他感知功能的合作,经过许多步骤提炼和生成必要的意识。本文设计了远程办公的感知功能框架和实验系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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