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
收藏
页码：135 / 148
页数：14
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