TDR System - A Multi-Level Slow Intelligence System for Personal Health Care

نویسنده

  • Shi-Kuo Chang
چکیده

This paper describes the design of an experimental multi-level slow intelligence system for 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 and integrating different applications in personal health care, emergency management and social networking. Keywords—slow intelligence system, distributed sensor networks, component-based software engineering.

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تاریخ انتشار 2016