Abstract
Ubiquitous technologies are used in the latest industry trend, the information analysis paradigm shifts to smart service environments. The smart service includes autonomic operations in order to define the status of industry facilities. Furthermore, information analysis based on IT used to frequently data mining for detecting the meaningful information and deriving new pattern. This paper suggests decision method by analyzing automatically the status information in city gas facilities in order to service smart gas safety management. We modify data algorithm for fitting the domain of gas safety, construct decision model by the proposed algorithm, and demonstrate our method. As the accuracy of our method is improved over 90%, our approach can apply to smart gas safety management based on ubiquitous environments.
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Oh, J.S., Park, J.S., Kwon, J.R. (2010). A Study on Autonomic Decision Method for Smart Gas Environments in Korea. In: Augusto, J.C., Corchado, J.M., Novais, P., Analide, C. (eds) Ambient Intelligence and Future Trends-International Symposium on Ambient Intelligence (ISAmI 2010). Advances in Soft Computing, vol 72. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13268-1_1
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DOI: https://doi.org/10.1007/978-3-642-13268-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13267-4
Online ISBN: 978-3-642-13268-1
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