2015 International Conference on Identification, Information, and Knowledge in the Internet of Things (IIKI) (2015)
Oct. 22, 2015 to Oct. 23, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IIKI.2015.48
The serious geological hazards occurred frequently in the last few years, which have caused heavy casualties and severe economic losses. It is necessary to design a geological information service system to analyze and evaluate geological hazards. With the development of computer and Internet service model, it is now possible to obtain rich data and process the data with some advanced computing techniques under network environment. Some technologies, including cyber-physical-system (CPS), Internet of Things (IoT), and cloud computing, have been used in geological information management. Furthermore, the concept of cyber-physical-social-thinking (CPST) as a broader vision of the IoT was presented through the fusion of those advanced computing technologies. Motivated by it, in this paper we develop a novel modeling and computing method for geological information service system in consideration of the complex data processing requirement of geological service under dynamic environment. Specifically, some key techniques of modeling the information service system and computing geological data via CPS and IoT are discussed. Moreover, the security issue of the proposed system is also analyzed.
Geology, Information services, Cloud computing, Aerospace electronics, Computational modeling, Computers, Real-time systems
Y. Zhu, Y. Tan, R. Li and X. Luo, "Cyber-Physical-Social-Thinking Modeling and Computing for Geological Information Service System," 2015 International Conference on Identification, Information, and Knowledge in the Internet of Things (IIKI), Beijing, China, 2015, pp. 193-196.