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2024 Vol.17, Issue 4 Preview Page

Original Article

31 December 2024. pp. 117-128
Abstract
References
1

Boyd, K., K. H. Eng, and C. D. Page. (2013). Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals. In Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013. 451-466.

10.1007/978-3-642-40994-3_29
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Chandola, V. (2009). Anomaly Detection for Symbolic Sequences and Time Series Data. Doctoral Dissertation. University of Minnesota.

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Chandola, V., A. Banerjee, and V. Kumar. (2009). Anomaly Detection: A Survey. ACM Computing Surveys (CSUR). 41(3): 15.

10.1145/1541880.1541882
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Hong, Kyu-Tack, Jeeyeon Heo, Se-Yun Hwang, and Jang-Hyun Lee. (2018). Analysis of Sensor Data for Detecting the Abnormal State of FD FAN. Korean Journal of Computational Design and Engineering. 23(2): 137-143.

10.7315/CDE.2018.137
5

Kim, W. (2021). Detection of Anomalies in Structural Health Monitoring Systems. Master's Thesis. Graduate School of Sejong University.

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Liu, H., S. Shah, and W. Jiang. (2004). On-Line Outlier Detection and Data Cleaning. Computers & Chemical Engineering. 28(9): 1635-1647.

10.1016/j.compchemeng.2004.01.009
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Syafrudin, M., G. Alfian, N. L. Fitriyani, J. Rhee (2018). Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing. Sensors. 18(9): 2946.

10.3390/s1809294630181525PMC6164307

Korean References Translated from the English

1

김욱 (2021). 구조건전성 모니터링 시스템의 이상징후 검지. 석사학위논문. 세종대학교 대학원.

2

홍규택, 허지연, 황세윤, 이장현 (2018). 플랜트 공정 FD FAN 설비의 이상 상태 예측을 위한 센서 데이터 분석. 한국 CED 학회 논문집. 23(2): 137-143.

10.7315/CDE.2018.137
Information
  • Publisher :Korean Society of Disaster and Security
  • Publisher(Ko) :한국방재안전학회
  • Journal Title :Journal of Korean Society of Disaster and Security
  • Journal Title(Ko) :한국방재안전학회 논문집
  • Volume : 17
  • No :4
  • Pages :117-128
  • Received Date : 2024-10-30
  • Revised Date : 2024-11-11
  • Accepted Date : 2024-11-11