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
相关论文
共 50 条
  • [41] State and democracy in the European multi-level system
    Zurn, M
    POLITISCHE VIERTELJAHRESSCHRIFT, 1996, 37 (01) : 27 - &
  • [42] A Multi-level Traceability System based on GraphLab
    Teng, Wei
    Mao, Bo
    Cao, Jie
    PROMOTING BUSINESS ANALYTICS AND QUANTITATIVE MANAGEMENT OF TECHNOLOGY: 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT (ITQM 2016), 2016, 91 : 971 - 977
  • [43] Multi-level decision system for the crossroad scenario
    Chen, Bofei
    Gechter, Franck
    Koukam, Abderrafiaa
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE, 2015, 51 : 453 - 462
  • [44] Multi-Level System Integration based on AUTOSAR
    Freund, Ulrich
    ICSE'08 PROCEEDINGS OF THE THIRTIETH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, 2008, : 581 - 581
  • [45] A MULTI-LEVEL GEOMETRIC REASONING SYSTEM FOR VISION
    BARRY, M
    CYRLUK, D
    KAPUR, D
    MUNDY, J
    NGUYEN, VD
    ARTIFICIAL INTELLIGENCE, 1988, 37 (1-3) : 291 - 332
  • [46] A Multi-level System for Sequential Update Summarization
    Zhang, Chunyun
    Ma, Zhanyu
    Zhang, Jiayue
    Xu, Weiran
    Guo, Jun
    PROCEEDINGS OF THE 11TH EAI INTERNATIONAL CONFERENCE ON HETEROGENEOUS NETWORKING FOR QUALITY, RELIABILITY, SECURITY AND ROBUSTNESS, 2015, : 144 - 148
  • [47] Political Behavior in the EU Multi-Level System
    Braun, Daniela
    Gross, Martin
    Rittberger, Berthold
    POLITICS AND GOVERNANCE, 2020, 8 (01): : 1 - 5
  • [48] Multi-Level Reconfiguration in the DANAH Assistive System
    Lankri, Said
    Berruet, Pascal
    Philippe, Jean-Luc
    2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 1084 - 1089
  • [49] A Multi-Level Tourism Destination Recommender System
    Alrasheed, Hend
    Alzeer, Arwa
    Alhowimel, Arwa
    Shameri, Nora
    Althyabi, Aisha
    11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2020, 170 : 333 - 340
  • [50] Attention as a multi-level system of weights and balances
    Narhi-Martinez, William
    Dube, Blaire
    Golomb, Julie D.
    WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE, 2023, 14 (01)
12345