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Kanghyeok Yang
Kanghyeok Yang
School of Architecture, Chonnam National University
Zweryfikowany adres z jnu.ac.kr
Tytuł
Cytowane przez
Cytowane przez
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Wearable sensing technology applications in construction safety and health
CR Ahn, SH Lee, C Sun, H Jebelli, K Yang, B Choi
Journal of Construction Engineering and Management 145 (11), 03119007, 2019
2732019
Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
K Yang, CR Ahn, MC Vuran, SS Aria
Automation in construction 68, 194-202, 2016
2112016
Collective sensing of workers' gait patterns to identify fall hazards in construction
K Yang, CR Ahn, MC Vuran, H Kim
Automation in construction 82, 166-178, 2017
1432017
Identifying safety hazards using collective bodily responses of workers
H Kim, CR Ahn, K Yang
Journal of construction engineering and management 143 (2), 04016090, 2017
872017
Automated detection of near-miss fall incidents in iron workers using inertial measurement units
K Yang, S Aria, CR Ahn, TL Stentz
Construction Research Congress 2014: Construction in a Global Network, 935-944, 2014
762014
Deep learning-based classification of work-related physical load levels in construction
K Yang, CR Ahn, H Kim
Advanced Engineering Informatics 45, 101104, 2020
732020
Detecting excessive load-carrying tasks using a deep learning network with a Gramian Angular Field
H Lee, K Yang, N Kim, CR Ahn
Automation in Construction 120, 103390, 2020
702020
Inferring workplace safety hazards from the spatial patterns of workers’ wearable data
K Yang, CR Ahn
Advanced Engineering Informatics 41, 100924, 2019
532019
Validating ambulatory gait assessment technique for hazard sensing in construction environments
K Yang, CR Ahn, H Kim
Automation in Construction 98, 302-309, 2019
532019
A people-centric sensing approach to detecting sidewalk defects
H Kim, CR Ahn, K Yang
Advanced Engineering Informatics 30 (4), 660-671, 2016
462016
Threshold-based approach to detect near-miss falls of iron workers using inertial measurement units
K Yang, H Jebelli, CR Ahn, MC Vuran
Computing in Civil Engineering 2015, 148-155, 2015
442015
Wearable acceleration-based action recognition for long-term and continuous activity analysis in construction site
Y Gong, K Yang, JO Seo, JG Lee
Journal of Building Engineering 52, 104448, 2022
282022
Highly ductile behavior and sustainability of engineered cementitious composites reinforced by PE based selvage fibers
JI Choi, SE Park, YM Kim, K Yang, YY Kim, BY Lee
Cement and Concrete Composites 134, 104729, 2022
172022
Towards effective safety cost budgeting for apartment construction: A case study of occupational safety and health expenses in South Korea
K Yang, K Kim, S Go
Sustainability 13 (3), 1335, 2021
162021
Sensing workers gait abnormality for safety hazard identification
K Yang, CR Ahn, MC Vuran, H Kim
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2016
162016
Assessing the Effects of Tool-Loading Formation on Construction Workers’ Postural Stability
H Jebelli, K Yang, MM Khalili, CR Ahn, T Stentz
Construction Research Congress 2018, 292-302, 2018
122018
Tracking Divergence in Workers’ Trajectory Patterns for Hazard Sensing in Construction
K Yang, CR Ahn, H Kim
Construction Research Congress 2018, 126-133, 2018
92018
Near-miss accident detection for ironworkers using inertial measurement unit sensors
SS Aria, K Yang, CR Ahn, MC Vuran
ISARC. Proceedings of the International Symposium on Automation and Robotics …, 2014
92014
Analyzing Spatial Patterns of Workers’ Gait Cycles for Locating Latent Fall Hazards
K Yang, C Ahn, MC Vuran, H Kim
Computing in Civil Engineering 2017, 458-466, 2017
82017
Mobile device-based struck-by hazard recognition in construction using a high-frequency sound
J Lee, K Yang
Sensors 22 (9), 3482, 2022
72022
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