Search Results - "SangUk Han"

A vision-based motion capture and recognition framework for behavior-based safety management by Han, SangUk, Lee, SangHyun

“…In construction, about 80%–90% of accidents are associated with workers' unsafe acts. Nevertheless, the measurement of workers' behavior has not been actively…”
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Vision-Based Detection of Unsafe Actions of a Construction Worker: Case Study of Ladder Climbing by Han, SangUk, Lee, SangHyun, Peña-Mora, Feniosky

“…AbstractAbout 80–90% of accidents are caused by the unsafe actions and behaviors of employees in construction. Behavior management thus plays a key role in…”
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BIM-Based Registration and Localization of 3D Point Clouds of Indoor Scenes Using Geometric Features for Augmented Reality by Mahmood, Bilawal, Han, SangUk, Lee, Dong-Eun

“…Augmented reality can improve construction and facility management by visualizing an as-planned model on its corresponding surface for fast, easy, and correct…”
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Manual operation simulation using motion-time analysis toward labor productivity estimation: A case study of concrete pouring operations by Kim, JiWook, Golabchi, Alireza, Han, SangUk, Lee, Dong-Eun

“…Based on the labor-intensive nature of construction tasks and high costs associated with labor operations, reliable estimation of construction labor…”
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Case Study of Solar Photovoltaic Power-Plant Site Selection for Infrastructure Planning Using a BIM-GIS-Based Approach by Heo, Jae, Moon, Hyounseok, Chang, Soowon, Han, SangUk, Lee, Dong-Eun

“…Evaluating the site-selection process for photovoltaic (PV) plants is essential for securing available areas for solar power plant installation in limited…”
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BIM-Based Spatial Augmented Reality (SAR) for Architectural Design Collaboration: A Proof of Concept by Jin, Yixuan, Seo, JoonOh, Lee, Jin Gang, Ahn, Seungjun, Han, SangUk

“…Three-dimensional (3D) visualization technology, such as augmented reality (AR), has served as the display for building information modeling (BIM)-based…”
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A case study of motion data-driven biomechanical assessment for identifying and evaluating ergonomic interventions in reinforced-concrete work by Seo, Hyewon, Pham, Hieu T.T.L., Golabchi, Alireza, Seo, JoonOh, Han, SangUk

“…Physical ergonomic intervention (e.g., use of tools) is adopted to improve working postures in the reinforced-concrete trade. However, evaluating its…”
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Simulation-based analysis of operational efficiency and safety in a virtual environment by Golabchi, Alireza, SangUk Han, AbouRizk, Simaan, Kanerva, Jim

“…Effective evaluation of the productivity and safety of manual operations is essential for successful planning of operations as well as for workplace design…”
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Reinforcement learning-based simulation and automation for tower crane 3D lift planning by Cho, SungHwan, Han, SangUk

“…Tower crane lift planning is important to timely provide resources to workplaces. However, previous planning approaches are still impractical because the…”
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Vision-Based Inspection Approach Using a Projector-Camera System for Off-Site Quality Control in Modular Construction: Experimental Investigation on Operational Conditions by Bae, JuHyeon, Han, SangUk

“…AbstractIn modular construction, quality control is a crucial step in meeting quality requirements, leading to the completion of a project within the planned…”
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Computer vision techniques for construction safety and health monitoring by Seo, JoonOh, Han, SangUk, Lee, SangHyun, Kim, Hyoungkwan

“…For construction safety and health, continuous monitoring of unsafe conditions and action is essential in order to eliminate potential hazards in a timely…”
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Long short-term memory recurrent neural network for modeling temporal patterns in long-term power forecasting for solar PV facilities: Case study of South Korea by Jung, Yoonhwa, Jung, Jaehoon, Kim, Byungil, Han, SangUk

“…The sites selected for solar PV facilities significantly affect the amount of electric power that can be generated over the long term. Therefore, predicting…”
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Reinforcement learning-based dynamic planning of cut and fill operations for earthwork optimization by Choi, Gwan, Han, SangUk

“…Earthwork allocation planning aims to minimize earthwork costs by optimizing cut–fill pairs and their sequences. However, previous optimization approaches are…”
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Implementation experiments on convolutional neural network training using synthetic images for 3D pose estimation of an excavator on real images by Mahmood, Bilawal, Han, SangUk, Seo, Jongwon

“…Remote and descriptive visualization of spatio-temporal information of excavator activities may increase awareness about jobsite hazards and operational…”
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Digital numerical map-oriented estimation of solar energy potential for site selection of photovoltaic solar panels on national highway slopes by Jung, Jaehoon, Han, SangUk, Kim, Byungil

“…•A framework for solar site selection using digital numerical maps is proposed.•A high-resolution solar map is created considering shade effects and tilted…”
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Multi-channel convolutional neural network for integration of meteorological and geographical features in solar power forecasting by Heo, Jae, Song, Kwonsik, Han, SangUk, Lee, Dong-Eun

“…•A convolutional neural network is presented for predicting solar power outputs.•Regional maps representing terrain and weather conditions are used as input…”
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Finding Causal Paths between Safety Management System Factors and Accident Precursors by Pereira, Estacio, Ahn, Seungjun, Han, SangUk, Abourizk, Simaan

“…AbstractUnderstanding the causal relationships between safety management system (SMS) factors and accident precursors helps construction organizations identify…”
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Generating realistic training images from synthetic data for excavator pose estimation by Pham, Hieu T.T.L., Han, SangUk

“…Computer vision-based 3D pose estimation for automated excavator operation monitoring requires numerous training images annotated with 3D pose labels. Owing to…”
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Toward an understanding of the impact of production pressure on safety performance in construction operations by Han, SangUk, Saba, Farzaneh, Lee, SangHyun, Mohamed, Yasser, Peña-Mora, Feniosky

“…•Project dynamics, particularly between production pressure and safety performance, are modeled to investigate their feedback processes.•A simulation model…”
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Convolutional neural network modeling strategy for fall-related motion recognition using acceleration features of a scaffolding structure by Lee, KangHo, Han, SangUk

“…Falls are the leading cause (e.g., 30–35%) of work-related fatalities during construction. However, conventional sensing approaches to recognizing workers'…”
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