Search Results - "Haas, Carl"

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  1. 1

    The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components by Bosché, Frédéric, Ahmed, Mahmoud, Turkan, Yelda, Haas, Carl T., Haas, Ralph

    Published in Automation in construction (01-01-2015)
    “…There is a growing need for tools automating the processing of as-built 3D laser scanned data, and more particularly the comparison of this as-built data with…”
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    Journal Article
  2. 2

    Automated progress tracking using 4D schedule and 3D sensing technologies by Turkan, Yelda, Bosche, Frederic, Haas, Carl T., Haas, Ralph

    Published in Automation in construction (01-03-2012)
    “…Efficient and effective construction progress tracking is critical to construction management. Current manual tracking methods are time consuming and/or error…”
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    Journal Article Conference Proceeding
  3. 3

    Tracking the Built Status of MEP Works: Assessing the Value of a Scan-vs-BIM System by Bosché, Frédéric, Guillemet, Adrien, Turkan, Yelda, Haas, Carl T, Haas, Ralph

    Published in Journal of computing in civil engineering (01-07-2014)
    “…AbstractMechanical, electrical, and plumbing (MEP) works constitute a large portion of construction costs and thus need to be appropriately tracked. Assessment…”
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    Journal Article
  4. 4

    Inertial Motion Capture-Based Whole-Body Inverse Dynamics by Diraneyya, Mohsen M., Ryu, JuHyeong, Abdel-Rahman, Eihab, Haas, Carl T.

    Published in Sensors (Basel, Switzerland) (05-11-2021)
    “…Inertial Motion Capture (IMC) systems enable in situ studies of human motion free of the severe constraints imposed by Optical Motion Capture systems. Inverse…”
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    Journal Article
  5. 5

    Pipe spool recognition in cluttered point clouds using a curvature-based shape descriptor by Czerniawski, Thomas, Nahangi, Mohammad, Haas, Carl, Walbridge, Scott

    Published in Automation in construction (01-11-2016)
    “…Automating dimensional compliance control and progress tracking using computer vision has been identified as a central opportunity for improvement in the…”
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    Journal Article
  6. 6

    Automated 3D compliance checking in pipe spool fabrication by Nahangi, Mohammad, Haas, Carl T.

    Published in Advanced engineering informatics (01-10-2014)
    “…•In the industrial sector, inspection processes are critical because of the complexity of the components involved.•An automated approach for early detection of…”
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    Journal Article
  7. 7

    Automatic clustering of proper working postures for phases of movement by Ryu, JuHyeong, McFarland, Tasha, Haas, Carl T., Abdel-Rahman, Eihab

    Published in Automation in construction (01-06-2022)
    “…Expert workers are often unable to articulate or convey their ‘physical wisdom’ to apprentices, as they tend to underestimate how difficult a task can be for…”
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    Journal Article
  8. 8

    Analysis of Relationships between Body Load and Training, Work Methods, and Work Rate: Overcoming the Novice Mason’s Risk Hump by Ryu, JuHyeong, Alwasel, Abdullatif, Haas, Carl T, Abdel-Rahman, Eihab

    “…AbstractMasons regularly perform physically strenuous and demanding duties that may exceed a safe limit. Such activities can contribute to an early retirement…”
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    Journal Article
  9. 9

    Ergonomic Characteristics of Expert Masons by Ryu, JuHyeong, Banting, Bennett, Abdel-Rahman, Eihab, Haas, Carl T.

    “…AbstractMasons are aided by ergonomic inventions such as tools, processes, and equipment, yet they are still subjected to performing physically demanding and…”
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    Journal Article
  10. 10

    Using termination points and 3D visualization for dimensional control in prefabrication by Sharif, Mohammad Mahdi, Haas, Carl, Walbridge, Scott

    Published in Automation in construction (01-01-2022)
    “…To increase productivity, quality, and safety, heavy industrial construction projects are increasingly adopting prefabrication and modularization techniques…”
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    Journal Article
  11. 11

    Skeleton-based discrepancy feedback for automated realignment of industrial assemblies by Nahangi, Mohammad, Haas, Carl T.

    Published in Automation in construction (01-01-2016)
    “…Automated and timely detection, characterization, and quantification of fabrication discrepancies and errors are fundamental problems in construction…”
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    Journal Article
  12. 12

    Rapid 3D Quality Control in Prefabrication Using a 3D Digital-Templates Framework by Sharif, Mohammad Mahdi, Chuo, Steven, Haas, Carl T.

    “…AbstractWith increased prefabrication in the construction industry, fabrication workers are tasked to assemble more complicated assemblies with tighter…”
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    Journal Article
  13. 13

    Identifying poses of safe and productive masons using machine learning by Alwasel, Abdullatif, Sabet, Ali, Nahangi, Mohammad, Haas, Carl T., Abdel-Rahman, Eihab

    Published in Automation in construction (01-12-2017)
    “…This paper presents a framework to classify work poses among groups of masons during the building of a standard wall of concrete masonry units. The experience…”
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    Journal Article
  14. 14

    Evaluating Delivery of Low Tidal Volume Ventilation in Six ICUs Using Electronic Health Record Data by Sjoding, Michael W., Gong, Michelle N., Haas, Carl F., Iwashyna, Theodore J.

    Published in Critical care medicine (01-01-2019)
    “…OBJECTIVES:Mechanical ventilation with low tidal volumes is recommended for all patients with acute respiratory distress syndrome and may be beneficial to…”
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    Journal Article
  15. 15

    Analysis of the Limits of Automated Rule-Based Ergonomic Assessment in Bricklaying by Ryu, JuHyeong, Diraneyya, Mohsen M, Haas, Carl T, Abdel-Rahman, Eihab

    “…AbstractPhysically demanding and repetitive tasks expose workers to work-related musculoskeletal disorders (WMSDs). Over the last few decades, various…”
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    Journal Article
  16. 16

    Jerk as an indicator of physical exertion and fatigue by Zhang, Lichen, Diraneyya, Mohsen Mutasem, Ryu, JuHyeong, Haas, Carl T., Abdel-Rahman, Eihab M.

    Published in Automation in construction (01-08-2019)
    “…Physical exertion may result in fatigue which is a key factor leading to increased risk of injury, reduced productivity, and decline in work quality in…”
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    Journal Article
  17. 17

    Health and productivity impact of semi-automated work systems in construction by Ryu, JuHyeong, McFarland, Tasha, Banting, Bennett, Haas, Carl T., Abdel-Rahman, Eihab

    Published in Automation in construction (01-12-2020)
    “…Variability of construction sites and tasks make their automation prohibitively complex. Workers continue to carry out physically demanding tasks which…”
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    Journal Article
  18. 18

    Supplier selection process in an integrated construction materials management model by Safa, Mahdi, Shahi, Arash, Haas, Carl T., Hipel, Keith W.

    Published in Automation in construction (01-12-2014)
    “…The procurement and management of construction materials involve challenges related to reducing inventory, speeding delivery, and increasing the control of…”
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    Journal Article
  19. 19

    Automatic Detection of Cylindrical Objects in Built Facilities by Ahmed, Mahmoud Fouad, Haas, Carl T, Haas, Ralph

    Published in Journal of computing in civil engineering (01-05-2014)
    “…AbstractThree-dimensional (3D) facility models are in increasing demand for design, maintenance, operations, and construction project management. For…”
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    Journal Article
  20. 20

    Experience, Productivity, and Musculoskeletal Injury among Masonry Workers by Alwasel, Abdullatif, Abdel-Rahman, Eihab M, Haas, Carl T, Lee, SangHyun

    “…AbstractMasonry is a highly physical occupation with a low retention rate in the workforce beyond 5 years. Predominantly, workers leave the workforce because…”
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    Journal Article