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    Adaptive Detector and Tracker on Construction Sites Using Functional Integration and Online Learning 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
    Author(s): Jinwoo Kim; Seokho Chi
    Publisher: American Society of Civil Engineers
    Abstract: Tracking construction equipment is a major task when monitoring work in progress and performance on construction sites. Real-time location data of heavy equipment can be used not only to prevent collision accidents but ...
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    Accident Case Retrieval and Analyses: Using Natural Language Processing in the Construction Industry 

    Source: Journal of Construction Engineering and Management:;2019:;Volume ( 145 ):;issue: 003
    Author(s): Taekhyung Kim; Seokho Chi
    Publisher: American Society of Civil Engineers
    Abstract: Knowledge management for construction accident cases can identify dangerous conditions and prevent accidents by controlling risks on-site. However, because accident cases are recorded as unstructured text data, significant ...
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    Bridge Clustering for Systematic Recognition of Damage Patterns on Bridge Elements 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 005
    Author(s): Kowoon Chang; Seokho Chi
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, bridge clustering for the systematic recognition of damage patterns on bridge elements is described based on massive data sets of bridges. To achieve this primary object with the data from the Korean Bridge ...
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    Understanding the Influences of Urban-Specific Contexts for Smart City Development Using Structural Equation Modeling 

    Source: Journal of Urban Planning and Development:;2021:;Volume ( 147 ):;issue: 002:;page 04021010-1
    Author(s): Clément Nicolas; Jinwoo Kim; Seokho Chi
    Publisher: ASCE
    Abstract: The development paths of smart cities are highly dependent on urban-specific contextual conditions. To be successful in managing smart city projects, it is important to understand the dynamics of urban development, which ...
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    Understanding User Experience and Satisfaction with Urban Infrastructure through Text Mining of Civil Complaint Data 

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 008:;page 04022061
    Author(s): Taeyeon Chang; Seokho Chi; Seok-Been Im
    Publisher: ASCE
    Abstract: With the increase in public concern about the aging of urban infrastructure and the associated risk of safety accidents, it is important to maintain the safety and serviceability of urban infrastructure in accordance with ...
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    Data-Driven Bridge Maintenance Cost Estimation Framework for Annual Expenditure Planning 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 002:;page 04023068-1
    Author(s): Gyueun Lee; Taeyeon Chang; Seokho Chi
    Publisher: ASCE
    Abstract: Bridge maintenance costs have increased due to the growth in the number of facilities and their extended periods of use. The distribution of the limited maintenance budget by considering the conditions and properties of ...
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    Cross-Lingual Information Retrieval from Multilingual Construction Documents Using Pretrained Language Models 

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 006:;page 04024041-1
    Author(s): Jungyeon Kim; Sehwan Chung; Seokho Chi
    Publisher: ASCE
    Abstract: The growth of the global construction market has attracted international companies to participate in overseas projects. Overseas projects are extremely dynamic with numerous uncertainties, raising the need to collect ...
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    Developing an Integrated Construction Safety Management System for Accident Prevention 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 006:;page 04024051-1
    Author(s): Sihoo Yoon; Taeyoun Chang; Seokho Chi
    Publisher: American Society of Civil Engineers
    Abstract: The significance of accident prevention in the construction industry has been consistently emphasized. Despite the research into various preventive methodologies, their application in actual construction sites still needs ...
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    Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities 

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 003
    Author(s): Seokho Chi; Carlos H. Caldas
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents an automated image-based safety assessment method for earthmoving and surface mining activities. The literature review revealed the possible causes of accidents on earthmoving operations, investigated ...
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    Sustainable Road Management in Texas: Network-Level Flexible Pavement Structural Condition Analysis Using Data-Mining Techniques 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 001
    Author(s): Seokho Chi; Mike Murphy; Zhanmin Zhang
    Publisher: American Society of Civil Engineers
    Abstract: The research team recognized the value of network-level falling weight deflectometer (FWD) testing to evaluate the structural condition trends of flexible pavements. However, practical limitations due to the cost of testing, ...
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    DSpace software copyright © 2002-2015  DuraSpace
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