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풍수해방재
A Study on the Improvement of Reliability Estimation Method for Sewer Network considering Resilience
Dong Jun Kim, Yang Ho Song, Jung Ho Lee
J. Korean Soc. Hazard Mitig. 2020;20(5):309-317.  Published online October 27, 2020
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도시방재
Development of a Cyberattack Detection Model for a Water Distribution System using Water Quality and Hydraulic Criteria
Kyoung Won Min, Young Hwan Choi, Joong Hoon Kim
J. Korean Soc. Hazard Mitig. 2020;20(5):47-56.  Published online October 27, 2020
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풍수해방재
Applying Observed Rainfall and Deep Neural Network for Urban Flood Analysis
Hyun Il Kim, Jae Young Lee, Kun Yeun Han, Jae Woong Cho
J. Korean Soc. Hazard Mitig. 2020;20(1):339-350.  Published online February 29, 2020
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소방방재
A Study on Flame and Smoke Detection Algorithm Using Convolutional Neural Network Based on Deep Learning
Jinkyu Ryu, Dongkurl Kwak
J. Korean Soc. Hazard Mitig. 2020;20(1):223-232.  Published online February 29, 2020
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Fire Prediction based on Weather and Fire Data using Artificial Neural Network
Seokyoung Hong, Sunghyun Cho, Minsu Kim, Il Moon
J. Korean Soc. Hazard Mitig. 2019;19(7):275-281.  Published online December 31, 2019
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기상방재
Is Deep Better in Extreme Temperature Forecasting?
Trang Thi Kieu Tran, Taesam Lee
J. Korean Soc. Hazard Mitig. 2019;19(7):55-62.  Published online December 31, 2019
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건축물방재
System Identification and Calibration of an Analytical Model of High-Rise Residential Complex Buildings based on Artificial Neural Network
Kyujin Kim, Deokshin Kang, Hyungdo Kim
J. Korean Soc. Hazard Mitig. 2019;19(4):9-18.  Published online August 31, 2019
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Determination of Crack Signals Using the Deep Learning Technique Based on a 1D Convolutional Neural Network for Smart Detection of Structural Damage Cracking
Gyeol Han, Tae-Min Oh, Hyunwoo Kim, Ki-Il Song, Youngchul Kim, Tae-Hyuk Kwon
J. Korean Soc. Hazard Mitig. 2019;19(4):1-7.  Published online August 31, 2019
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기상방재
Development of a Rainfall Observation Method Using Vehicle Rainfall Sensors
Chungdae Lee, Junsu Park, Byunghyun Lee, Byungsik Kim
J. Korean Soc. Hazard Mitig. 2019;19(3):33-40.  Published online June 30, 2019
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풍수해방재
Analysis of the Improved Drainage Capacity of Urban Basins at an LID Facility
Kanghee Bae, Jaehwang Ahn, Youngje Choi, Byungsik Kim, Jaeeung Yi
J. Korean Soc. Hazard Mitig. 2019;19(1):311-322.  Published online February 28, 2019
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도시방재
A Temporal Distribution Method of Probable Rainfall for Planning a Storm Sewer Network in an Urban Area
Jongpyo Park, Taeuk Kang, Sangho Lee
J. Korean Soc. Hazard Mitig. 2019;19(1):85-94.  Published online February 28, 2019
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풍수해방재
Safety Analysis of Pedestrian-centered Flood Evacuation Facility
Jung Ok Kim, Jae Kang Lee
J. Korean Soc. Hazard Mitig. 2018;18(7):449-456.  Published online December 31, 2018
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A Study on the Characteristics of Urban Storm Sewer Networks from a Network Perspective
Jinwoo Lee, Gunhui Chung
J. Korean Soc. Hazard Mitig. 2018;18(7):427-433.  Published online December 31, 2018
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Indoor Network Generation Using Building Evacuation Maps
Seula Park, Seong Yong Kim, Kiyun Yu, Jung Ok Kim
J. Korean Soc. Hazard Mitig. 2018;18(7):387-394.  Published online December 31, 2018
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하천방재
Comparison of Optimization Algorithms in Deep Learning-Based Neural Networks for Hydrological Forecasting: Case Study of Nam River Daily Runoff
Moradi Mahsa, Taesam Lee
J. Korean Soc. Hazard Mitig. 2018;18(6):377-384.  Published online October 31, 2018
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