A multi-level slow intelligence system for visualizing personal health care

被引：0

作者：

Chang, Shi-Kuo ^{[1
]}

Chen, JunHui ^{[1
]}

Gao, Wei ^{[1
]}

Lou, ManSi ^{[1
]}

Yin, XiYao ^{[1
]}

Zhang, Qui ^{[1
]}

Zhao, ZiHao ^{[1
]}

机构：

[1] Univ Pittsburgh, Dept Comp Sci, Pittsburgh, PA 15238 USA

来源：

JOURNAL OF VISUAL LANGUAGES AND COMPUTING | 2017年 / 42卷

关键词：

Slow intelligence system; Distributed sensor networks; Component-based software engineering; Visual computing; Visualization;

D O I：

10.1016/j.jvlc.2017.08.006

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper describes the design of an experimental multi-level slow intelligence system for visualizing personal health care, called the TDR system, consisting of interacting super-components each with different computation cycles specified by an abstract machine model. The TDR system has three major super-components: Tian (Heaven), Di (Earth) and Ren (Human), which are the essential ingredients of a human-centric psycho-physical system following the Chinese philosophy. Each super-component further consists of interacting components supported by an SIS server. This experimental TDR system provides a platform for exploring, visualizing and integrating different applications in personal health care, emergency management and social networking. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：135 / 148

页数：14

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