Journal of Computing in Civil Engineering: Recent submissions
Now showing items 401-420 of 2320
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Wayfinding Information Cognitive Load Classification Based on Functional Near-Infrared Spectroscopy
(ASCE, 9/1/2021)Amid the rapid development of building information technologies, wayfinding information has become more accessible to building users and first responders. As a result, a realistic risk of cognitive load related to the ... -
Semantic Deep Learning Integrated with RGB Feature-Based Rule Optimization for Facility Surface Corrosion Detection and Evaluation
(ASCE, 11/1/2021)Over the last few years, convolutional neural networks (CNNs) have been applied to detect corrosion in images. Unfortunately, the corrosion is detected in bounding boxes, without precisely segmenting the corrosion elements ... -
Automatic Identification of Idling Reasons in Excavation Operations Based on Excavator–Truck Relationships
(ASCE, 9/1/2021)Excavators and trucks are important equipment for earthwork operations, which make major contributions to construction productivity. To control the work efficiency and productivity of earthwork equipment, computer vision ... -
Data-Driven Simulation Approach for Short-Term Planning of Winter Highway Maintenance Operations
(ASCE, 9/1/2021)Winter highway maintenance operations are performed to ensure safe driving conditions during snow events. However, variability in truck speeds and changing weather conditions limit the ability of practitioners to optimize ... -
Machine Learning-Based Risk Analysis for Construction Worker Safety from Ubiquitous Site Photos and Videos
(ASCE, 11/1/2021)This paper proposes a new method for single-worker severity level prediction from already collected site images and video clips. Onsite safety observers often assess workers’ severity levels during construction activities. ... -
Vision-Based Inspection Approach Using a Projector-Camera System for Off-Site Quality Control in Modular Construction: Experimental Investigation on Operational Conditions
(ASCE, 9/1/2021)In modular construction, quality control is a crucial step in meeting quality requirements, leading to the completion of a project within the planned schedule and cost. Currently, quality inspection is visually performed ... -
Measuring In-Building Spatial-Temporal Human Distribution through Monocular Image Data Considering Deep Learning–Based Image Depth Estimation
(ASCE, 9/1/2021)This research estimated the spatial-temporal distribution of humans in buildings through image sensing. Inputs were the in-building network, image sequences recording the movement of human, and camera parameters. Object ... -
Reidentification-Based Automated Matching for 3D Localization of Workers in Construction Sites
(ASCE, 11/1/2021)The location information of entities in construction sites, such as workers and construction machines, is valuable in project management and safety. Therefore, as nonintrusive and accurate solutions, various vision-based ... -
Instance Segmentation of Industrial Point Cloud Data
(ASCE, 11/1/2021)The challenge that this paper addresses is how to efficiently minimize the cost and manual labor for automatically generating object oriented geometric digital twins (gDTs) of industrial facilities, so that the benefits ... -
Semantic Rule-Based Construction Procedural Information Extraction to Guide Jobsite Sensing and Monitoring
(ASCE, 11/1/2021)Existing construction monitoring systems rely on designated personnel to compare a planned procedure in the instructional documents with an execution procedure on the jobsite. It requires major human efforts and is ... -
Clustering-Based Approach for Building Code Computability Analysis
(ASCE, 11/1/2021)One common limitation of all automated code compliance-checking methods and tools is their inability to deal with all types of building-code requirements. More research is needed to better identify the different types of ... -
Domain Ontology for Utility Infrastructure: Coupling the Semantics of CityGML Utility Network ADE and Domain Glossaries
(ASCE, 9/1/2021)With the utility infrastructure domain becoming more technologically advanced with the modeling of all types of information across varying sectors, it is imperative to develop a domain ontology to enable the interoperability ... -
Automatic Framework for Detecting Obstacles Restricting 3D Highway Sight Distance Using Mobile Laser Scanning Data
(ASCE, 7/1/2021)Periodic measurements of sight distance on as-built roads and subsequent removal of sight obstructions are important for guaranteeing highway safety. In this paper, an accurate and efficient framework is proposed for ... -
Assessing Disaster Impact in Real Time: Data-Driven System Integrating Humans, Hazards, and the Built Environment
(ASCE, 9/1/2021)Current disaster impact assessments are conducted within days after an event and usually with limited workforce and resources. Although many recognize the valuable information attainable in this way, the evidence is likely ... -
Diversity in Renovation Design: Theoretical Foundations of the Renovation Domain Model
(ASCE, 7/1/2021)Sustainable building renovation design is a highly challenging and ever more pressing issue in the construction sector. Through rounds of dialogue and negotiation, architects along with diverse sets of stakeholders must ... -
Classification of Soft-Story Buildings Using Deep Learning with Density Features Extracted from 3D Point Clouds
(ASCE, 5/1/2021)Soft-story buildings are seismically vulnerable during earthquakes. The identification of such buildings is vital in seismic risk mitigation to assess the seismic resilience of a given urban region. Several studies have ... -
Quantifying the Impact of Urban Form on Human Experience: Experiment Using Virtual Environments and Electroencephalogram
(ASCE, 5/1/2021)Today, more than half of the world’s population lives in cities, and this trend appears to be growing. Despite a need to understand how design elements of urban living impact our psychological well-being (e.g., stress), ... -
Uncertainty Quantification of Locally Nonlinear Dynamical Systems Using Neural Networks
(ASCE, 7/1/2021)Models are often given in terms of differential equations to represent physical systems. In the presence of uncertainty, accurate prediction of the behavior of these systems using the models requires understanding the ... -
Extracting BIM Information for Lattice Toolpath Planning in Digital Concrete Printing with Developed Dynamo Script: A Case Study
(ASCE, 5/1/2021)In this paper, a novel method for printing path design in the three-dimensional (3D) concrete printing process (3DCP) has been developed and applied to a large-scale construction process. Despite the large number of research ... -
Motion Planning of Mobile Robots for Autonomous Navigation on Uneven Ground Surfaces
(ASCE, 5/1/2021)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 ...