Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6934708 | Journal of Visual Languages & Computing | 2017 | 21 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Chang Shi-Kuo, Chen JunHui, Gao Wei, Lou ManSi, Yin XiYao, Zhang Qui, Zhao ZiHao,