 |
 |
Search
- Page Path
-
- HOME
- Search
- 건축물방재
- 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
-
Full text 
PubReader 
ePub 
PDF
- 지진방재
- Proposal of Disaster Management Criteria of Seismic Accelerometers Installed on the Primary Structural Elements of Cable-Supported Bridges Based on Long-Term Data
- Seung Han Lee, Deok Keun Deok Keun, Sung Woo Park, Kwang-yeun Park
- J. Korean Soc. Hazard Mitig. 2018;18(7):377-386. Published online December 31, 2018
-
Full text PubReader ePub PDF
- A Study on Detection Technique the Micro Vibration and Displacement on Slope
- Sunkuk Kim, Jungmin Lee, Inju Jeong, Youmee Seo
- J. Korean Soc. Hazard Mitig. 2017;17(5):305-310. Published online October 31, 2017
-
Full text PubReader ePub PDF
- Field Measurements for Subgrade Compaction Using MEMS Accelerometers
- Kyu-Sun Kim
- J. Korean Soc. Hazard Mitig. 2015;15(1):153-159. Published online February 28, 2015
-
-
PDF
- Editorial Office
-
1010 New Bldg., The Korea Science Technology Center, 22 Teheran-ro 7-gil(635-4 Yeoksam-dong), Gangnam-gu, Seoul 06130, Korea
Tel: +82-2-567-6311 Fax: +82-2-567-6313 E-mail: master@kosham.or.kr
Copyright © 2024 by The Korean Society of Hazard Mitigation.
