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    Effective Green-Ampt Parameters for Two-Layered Soils 

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 004
    Author(s): Sanghyun Lee; Maria L. Chu; Arthur R. Schmidt
    Publisher: ASCE
    Abstract: The Green-Ampt method is a physically based model for partitioning rainfall into surface runoff and infiltration. This method is widely used in infiltration practice because of its simplicity and the ease of obtaining the ...
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    Importance of Testing with Independent Subjects and Contexts for Machine-Learning Models to Monitor Construction Workers’ Psychophysiological Responses 

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 009:;page 04022082
    Author(s): Gaang Lee; SangHyun Lee
    Publisher: ASCE
    Abstract: Because workers’ abnormal psychophysiological responses (e.g., high levels of stress and fatigue) are directly or indirectly linked to disorders and accidents at construction sites, monitoring workers’ abnormal ...
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    Deep-Learning Domain Adaptation to Improve Generalizability across Subjects and Contexts in Detecting Construction Workers’ Stress from Biosignals 

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 003:;page 04024010-1
    Author(s): Gaang Lee; SangHyun Lee
    Publisher: ASCE
    Abstract: Wearable biosensors, in conjunction with machine learning, have been employed to develop less invasive monitoring techniques for assessing stress among construction workers during fieldwork. However, existing techniques ...
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    Explainable Image Captioning to Identify Ergonomic Problems and Solutions for Construction Workers 

    Source: Journal of Computing in Civil Engineering:;2024:;Volume ( 038 ):;issue: 004:;page 04024022-1
    Author(s): Gunwoo Yong; Meiyin Liu; SangHyun Lee
    Publisher: American Society of Civil Engineers
    Abstract: The high occurrence of work-related musculoskeletal disorders (WMSDs) in construction remains a pressing concern, causing numerous nonfatal injuries. Preventing WMSDs necessitates the implementation of an ergonomic process, ...
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    Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 008:;page 04021087-1
    Author(s): Yizhi Liu; Mahmoud Habibnezhad; Shayan Shayesteh; Houtan Jebelli; SangHyun Lee
    Publisher: ASCE
    Abstract: Construction workers’ poor mental states can lead to numerous safety and productivity issues. One major trend in construction research is quantitatively evaluating workers’ psychophysiological states. With the advances in ...
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    Harnessing Project Identity and Safety Norms to Promote Construction Workers’ Safety Behavior: Field Intervention Study 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003:;page 04024208-1
    Author(s): Juhyeon Bae; Byungjoo Choi; Erin Krupka; SangHyun Lee
    Publisher: American Society of Civil Engineers
    Abstract: The importance of workers’ social identity in shaping their safety behaviors has become increasingly acknowledged. Among various social identities (e.g., workgroup, trade, etc.), improving project identity stands out ...
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    Wearable Biosensor and Hotspot Analysis–Based Framework to Detect Stress Hotspots for Advancing Elderly’s Mobility 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 003
    Author(s): Gaang Lee; Byungjoo Choi; Changbum Ryan Ahn; SangHyun Lee
    Publisher: ASCE
    Abstract: As the elderly population continues to grow rapidly, the mobility of elderly individuals has become a primary concern for not only their individual well-being, but also our social prosperity. Despite such importance, the ...
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    Delegation or Collaboration: Understanding Different Construction Stakeholders’ Perceptions of Robotization 

    Source: Journal of Management in Engineering:;2021:;Volume ( 038 ):;issue: 001:;page 04021084
    Author(s): YeSeul Kim; Hyunsoo Kim; Robin Murphy; SangHyun Lee; Changbum R. Ahn
    Publisher: ASCE
    Abstract: Recent advances in robotic technologies have stimulated interest in bringing robots onto construction sites, which will in turn bring robots and humans into closer working proximity. Introducing robots requires significant ...
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    Harnessing Project Identity and Safety Norms to Promote Construction Workers’ Safety Behavior: Field Intervention Study 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003:;page 04024208-1
    Author(s): Juhyeon Bae; Byungjoo Choi; Erin Krupka; SangHyun Lee
    Publisher: American Society of Civil Engineers
    Abstract: The importance of workers’ social identity in shaping their safety behaviors has become increasingly acknowledged. Among various social identities (e.g., workgroup, trade, etc.), improving project identity stands out ...
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    Noise Reference Signal–Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 006
    Author(s): Gaang Lee; Byungjoo Choi; Houtan Jebelli; Changbum Ryan Ahn; SangHyun Lee
    Publisher: ASCE
    Abstract: Since people in contemporary society spend most of their time interacting with the built environment, there is a growing need to thoroughly understand the quality of human–built environment interaction to improve quality ...
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