S
Soojin Cho
Researcher at Seoul National University
Publications - 74
Citations - 2593
Soojin Cho is an academic researcher from Seoul National University. The author has contributed to research in topics: Structural health monitoring & Wireless sensor network. The author has an hindex of 23, co-authored 69 publications receiving 1869 citations. Previous affiliations of Soojin Cho include Ulsan National Institute of Science and Technology & University of Illinois at Urbana–Champaign.
Papers
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Journal ArticleDOI
Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation
Shinae Jang,Hongki Jo,Soojin Cho,Kirill Mechitov,Jennifer A. Rice,Sung-Han Sim,Hyung-Jo Jung,Chung-Bangm Yun,Billie F. Spencer,Gul Agha +9 more
TL;DR: The deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea, demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.
Journal ArticleDOI
Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique.
Byung Hyun Kim,Soojin Cho +1 more
TL;DR: An automated detection technique for crack morphology on concrete surface under an on-site environment based on convolutional neural networks (CNNs) is proposed, and the applicability of the proposed method is evaluated on images taken from the field and real-time video frames taken using an unmanned aerial vehicle.
Journal ArticleDOI
Image‐based concrete crack assessment using mask and region‐based convolutional neural network
Byung Hyun Kim,Soojin Cho +1 more
Journal ArticleDOI
Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing.
TL;DR: This paper presents a crack identification strategy that combines hybrid image processing with UAV technology that has shown to successfully measure cracks thicker than 0.1 mm with the maximum length estimation error of 7.3%.
Journal ArticleDOI
Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses
Soojin Cho,Hongki Jo,Shinae Jang,Jong-Woong Park,Hyung-Jo Jung,Chung Bang Yun,Billie F. Spencer,Ju Won Seo +7 more
TL;DR: In this paper, the authors analyzed the data collected from the 2nd Jindo Bridge, a cable-stayed bridge in Korea that is a structural health monitoring (SHM) international test bed for advanced wireless smart sensors network (WSSN) technology.