개인구독
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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.
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An efficient regression-based outlier detection method has been described in this paper. Estimating a correct regression model is an important part of estimation-based outlier detection. In the conventional method, the parameter estimation of the regression model was performed using measurements among neighbor sensors. This research proposes a weighted summation approach for making a synthesized independent variable from the observed values. A reliable regression model can be estimated from the synthesized signal. Finally, accurate outlier detection can be performed using the residual analysis of the regression model. The proposed method was successfully applied in real sensor measurements in a dam.
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참고문헌 (7)
참고문헌 신청
Zhang,Y. / 2010 / Outlier Detection Techniques for Wireless Sensor Networks : A Survey / IEEE COMMUNICATIONS SURVEYS & TUTORIALS 12(2):159~170
Sharma, A. B. / 2010 / Sensor faults: Detection methods and prevalence in real-world datasets / ACM Transactions on Sensor Networks 6(3):1~39
Ni, K. / 2009 / Sensor network data fault types / ACM Transactions on Sensor Networks 5(3):1~29
Mínguez, R. / 2012 / Regression Models for Outlier Identification(Hurricanes and Typhooons)in Wave Hindcast Databases / Journal of Atmospheric & Oceanic Technology 29(2):267~285
Mourad, M. / 2002 / A method for automatic validation of long time series of data in urban hydrology / Water Science & Technology 45(4):263~270
Sharma, A. B. / 2010 / Sensor faults: Detection methods and prevalence in real-world datasets / ACM Transactions on Sensor Networks 6(3):1~39
Ni, K. / 2009 / Sensor network data fault types / ACM Transactions on Sensor Networks 5(3):1~29
Mínguez, R. / 2012 / Regression Models for Outlier Identification(Hurricanes and Typhooons)in Wave Hindcast Databases / Journal of Atmospheric & Oceanic Technology 29(2):267~285
Mourad, M. / 2002 / A method for automatic validation of long time series of data in urban hydrology / Water Science & Technology 45(4):263~270
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