NDLI: CPS model based online opinion governance modeling and evaluation of emergency accidents

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CPS model based online opinion governance modeling and evaluation of emergency accidents

Content Provider	ACM Digital Library
Author	Deng, Xiaolong Dou, Yingtong Huang, Yihua
Abstract	In the last decades, there have been much more public health crises in the world such as H1N1, H7N9 and Ebola out-break. In the same time, it has been proved that our world has come into the time when public crisis accidents number was growing fast. Sometimes, crisis response to these public emergency accidents is involved in a complex system consisting of cyber, physics and society domains (CPS Model). In order to collect and analyze these accidents with higher efficiency, we need to design and adopt some new tools and models. In this paper, we used CPS Model based Online Opinion Governance system which constructed on cellphone APP for data collection and decision making in the back end. Based on the online opinion data we collected, we also proposed the graded risk classification. By the risk classification method, we have built an efficient CPS Model based simulated emergency accident replying and handling system. It has been proved useful in some real accidents in China in recent years.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781450345804
DOI	10.1145/3017611.3017619
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Online opinion analysis Cps model App data collection Situation evaluation Emergency disaster
Content Type	Text
Resource Type	Article

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