RFID/USN 기반 지능형 가스안전관리 서비스를 위한 자율적 분석 연구A Study on Autonomic Analysis for Servicing Intelligent Gas Safety
- Authors
- 오정석; 최경석; 권정락; 윤기봉
- Issue Date
- 2008
- Publisher
- 한국안전학회
- Keywords
- RFID/USN; data mining; intelligent service; context-aware model; gas safety management
- Citation
- 한국안전학회지, v.23, no.6, pp 51 - 56
- Pages
- 6
- Journal Title
- 한국안전학회지
- Volume
- 23
- Number
- 6
- Start Page
- 51
- End Page
- 56
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/31516
- ISSN
- 1738-3803
- Abstract
- As RFID/USN technology is used in the latest industry trend, the information analysis paradigm shifts to intelligence service environment. The intelligent service includes autonomic operation, which select activity by defining itself to the status of industry facilities. Furthermore, information analysis based on IT used to frequently data mining for detecting the meaning information and deriving new pattern. This paper suggest self-classifying of context-aware by applying data mining in gas facilities for serving the intelligent gas safety management. We modify data algorithm for fitting the domain of gas safety, construct context-aware model by using the proposed algorithm, and demonstrate our method. As the accuracy of our model is improved over 90%, the our approach can apply to intelligent gas safety management based on RFID/USN environments.
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Collections - College of Engineering > School of Mechanical Engineering > 1. Journal Articles
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