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    Automatic Recognition of Workers’ Motions in Highway Construction by Using Motion Sensors and Long Short-Term Memory Networks 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 003:;page 04020184-1
    Author(s): Kinam Kim; Yong K. Cho
    Publisher: ASCE
    Abstract: Monitoring and understanding construction workers’ behavior and working conditions are essential to achieve success in construction projects. The dynamic nature of construction sites has heightened the awareness of the ...
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    Point Cloud Information Modeling: Deep Learning–Based Automated Information Modeling Framework for Point Cloud Data 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 148 ):;issue: 002:;page 04021191
    Author(s): Jisoo Park; Yong K. Cho
    Publisher: ASCE
    Abstract: Because point clouds have reality measurements of physical objects, they are often used to reconstruct the as-built three-dimensional (3D) model of building construction sites through a modeling process called Scan-to-building ...
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    Projection-Recognition-Projection Method for Automatic Object Recognition and Registration for Dynamic Heavy Equipment Operations 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 005
    Author(s): Yong K. Cho; Mengmeng Gai
    Publisher: American Society of Civil Engineers
    Abstract: It is challenging to recognize dynamic three-dimensional (3D) objects in a scattered construction work environment because it is difficult to process large amounts of incomplete and complex site data from optical sensors ...
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    Development and Evaluation of a Probabilistic Local Search Algorithm for Complex Dynamic Indoor Construction Sites 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 004
    Author(s): JeeWoong Park; Yong K. Cho
    Publisher: American Society of Civil Engineers
    Abstract: The nature of an indoor construction site is dynamic and complex. This characteristic becomes even more evident when a multitude of interactions among workers, equipment, and materials exists. To assist various operations ...
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    Automated Point Cloud Registration Using Visual and Planar Features for Construction Environments 

    Source: Journal of Computing in Civil Engineering:;2018:;Volume ( 032 ):;issue: 002
    Author(s): Pileun Kim; Jingdao Chen; Yong K. Cho
    Publisher: American Society of Civil Engineers
    Abstract: Because of the limited view of data of each single laser scan, multiple scans are required to cover all scenes of a large construction site, and a registration process is needed to merge them together. Although many research ...
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    Multiobjective Construction Schedule Optimization Using Modified Niched Pareto Genetic Algorithm 

    Source: Journal of Management in Engineering:;2016:;Volume ( 032 ):;issue: 002
    Author(s): Kyungki Kim; John Walewski; Yong K. Cho
    Publisher: American Society of Civil Engineers
    Abstract: A construction schedule must satisfy multiple project objectives that often conflict with each other. While several earlier approaches attempted to generate optimal schedules in terms of several criteria, most of their ...
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    As-Is 3D Thermal Modeling for Existing Building Envelopes Using a Hybrid LIDAR System 

    Source: Journal of Computing in Civil Engineering:;2013:;Volume ( 027 ):;issue: 006
    Author(s): Chao Wang; Yong K. Cho; Mengmeng Gai
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces a hybrid method for rapidly measuring thermal data and three-dimensional (3D) geometries of buildings, allowing “virtual” representations of the energy and environmental performance of existing ...
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    Real-Time 3D Crane Workspace Update Using a Hybrid Visualization Approach 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
    Author(s): Jingdao Chen; Yihai Fang; Yong K. Cho
    Publisher: American Society of Civil Engineers
    Abstract: Crane operators often face poor visibility and collision hazards during lifting operations. Dynamic three-dimensional (3D) modeling of the crane workspace helps to alleviate this by identifying potential collision hazards ...
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    Deep Learning Approach to Point Cloud Scene Understanding for Automated Scan to 3D Reconstruction 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 004
    Author(s): Jingdao Chen; Zsolt Kira; Yong K. Cho
    Publisher: American Society of Civil Engineers
    Abstract: Construction progress estimation to ensure high productivity and quality is an essential component of the daily construction cycle. However, using three-dimensional (3D) laser-scanned point clouds for the purpose of measuring ...
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    Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 003:;page 04021001-1
    Author(s): Inbae Jeong; Youjin Jang; Jisoo Park; Yong K. Cho
    Publisher: ASCE
    Abstract: With the increasing interest in mobile robots for construction applications, autonomous navigation in unstructured and uneven construction sites has become a critical challenge. To ensure the safe and robust navigation of ...
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    DSpace software copyright © 2002-2015  DuraSpace
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