지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.9
- 수록면
- 115 - 119 (5page)
이용수
초록· 키워드
오류제보하기
Civil engineers have taken the numerous slope monitoring data for an engineering project subjected to hazard potential of slide. However, the topics on how to deal with and draw out proper information from the data related to the slope behavior have not been widely discussed. Recently, several companies and researchers had installed the real-time monitoring system to cope with landslide hazard; however they are mainly focused on the hardware system installation. Therefore, this study tries to show how the measured data could be grouped and connected each other. The basic idea of analyzing method studied in this paper came from the ‘clustering’, which is the part of data mining analysis. Therefore, at the base of classification of time series data, the authors suggest three mathematical data analyzing methods; relative displacement and relative displacement difference. These three analyzing models are based on the statistical method and failure mechanism of slope. The purpose of this paper is to show clustering relationships of the similar parts, which makes the same sliding mechanism in a slope.
목차
SYNOPSIS
1. 서론
2. 계측 사면의 관련성
3. 현장적용 및 데이터 분석
4. 결론
References
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UCI(KEPA) : I410-ECN-0101-2015-530-002798218