Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 29 results ...
Anbar, D R, Chang, T, Deng, X and Mahmoud, M R I (2024) Implementing effective knowledge management in international construction projects by eliminating knowledge hiding. Journal of Construction Engineering and Management, 150(08).
Asadabadi, M R (2024) Project investment decisions: Comparison of nonmonetary benefits. Journal of Construction Engineering and Management, 150(08).
Bayona, A, Hallowell, M R and Bhandari, S (2024) The things that hurt people are not the same as the things that kill people: Key differences in the proximal causes of low- and high-severity construction injuries. Journal of Construction Engineering and Management, 150(08).
Bingol, B N, Arditi, D and Polat, G (2024) A performance-based subcontractor selection model. Journal of Construction Engineering and Management, 150(08).
Cao, J, Said, H, Savov, A and Hall, D (2024) Graph-based evolutionary search for optimal hybrid modularization of building construction projects. Journal of Construction Engineering and Management, 150(08).
Castelblanco, G and Guevara, J (2024) Stakeholder dynamics: Rethinking roles and responsibilities in user-pay transport PPP projects. Journal of Construction Engineering and Management, 150(08).
Eissa, R and El-Adaway, I H (2024) Accelerating the circular economy transition: A construction value chain-structured portfolio of strategies and implementation insights. Journal of Construction Engineering and Management, 150(08).
Han, J, Chen, C, Tiong, R L K, Wu, K and Chew, D K H (2024) Strategic workforce planning for production of prefabricated bathroom units: An advanced markovian approach. Journal of Construction Engineering and Management, 150(08).
Hasan, M and Lu, M (2024) Mitigating project schedule risks by identifying subcritical paths and variance-critical activities. Journal of Construction Engineering and Management, 150(08).
Huo, X, Xu, X, Zhang, Y and Jiao, L (2024) Insight into the mechanism of noncompliance tasks in construction workers' unsafe behaviors. Journal of Construction Engineering and Management, 150(08).
Ismael, D and Shealy, T (2024) Reframing sustainability rating systems to emphasize interconnected benefits increases sustainable design practices among engineers. Journal of Construction Engineering and Management, 150(08).
Jeong, J and Jeong, J (2024) Sustainability in prefabricated construction: Enhancing multicriteria analysis and prediction using machine learning. Journal of Construction Engineering and Management, 150(08).
Li, M, Zheng, Q and Ashuri, B (2024) Application of artificial intelligence in design automation: A two-stage framework for structure configuration and design. Journal of Construction Engineering and Management, 150(08).
Liang, X, Rasheed, U, Cai, J, Wibranek, B and Awolusi, I (2024) Impacts of collaborative robots on construction work performance and worker perception: Experimental analysis of human-robot collaborative wood assembly. Journal of Construction Engineering and Management, 150(08).
Ma, J, Jiang, X, Zheng, D, Liao, X, Lu, J and Zhao, Y (2024) Transwallnet: High-performance semantic segmentation of large-scale and multifeatured point clouds of building gables. Journal of Construction Engineering and Management, 150(08).
Mansoor, A, Liu, S, Bouferguene, A and Al-Hussein, M (2024) Crane signalman hand-signal classification framework using sensor-based smart construction glove and machine-learning algorithms. Journal of Construction Engineering and Management, 150(08).
Mostofi, F, Tokdemir, O B, Toǧan, V and Arditi, D (2024) Predicting the cost of rework in high-rise buildings using graph convolutional networks. Journal of Construction Engineering and Management, 150(08).
Poirier, E A, Pavard, A and De Paula, N (2024) Determining factors influencing BIM adoption: A competency-driven approach. Journal of Construction Engineering and Management, 150(08).
Rathnayake, A, Murguia, D and Middleton, C (2024) Measuring activity-level construction productivity. Journal of Construction Engineering and Management, 150(08).
Saleem, M (2024) Internal damage detection in reinforced concrete member using ultrasonic pulse velocity nondestructive testing. Journal of Construction Engineering and Management, 150(08).
Salih, F and El-Adaway, I H (2024) Quantifying the impact of technology utilization on schedule and cost performance in construction projects. Journal of Construction Engineering and Management, 150(08).
Seyis, S and Ozkan, S (2024) Benefits and challenges of implementing the common data environments in the construction phase of BIM-based projects. Journal of Construction Engineering and Management, 150(08).
Shamsollahi, D, Moselhi, O and Khorasani, K (2024) Automated detection and segmentation of mechanical, electrical, and plumbing components in indoor environments by using the yolact++ architecture. Journal of Construction Engineering and Management, 150(08).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-15115
- Abstract:
Indoor construction environments, with their high density and detailed components, are complex areas for progress monitoring and reporting. Traditional manual monitoring systems, often constrained by poor lighting and accessibility, are inaccurate and time-consuming. With recent technological advancements, deep learning-based object recognition models have achieved considerable attention in construction. This paper introduces a novel method for progress monitoring and reporting of construction operations, employing digital imaging and the You Only Look At CoefficienTs (YOLACT++) deep learning algorithm to automatically recognize mechanical, electrical, and plumbing (MEP) components in challenging indoor settings. Data augmentation techniques and transfer learning were applied to improve the model's generalization and adaptability. The study distinctively focuses on complex components in complicated indoor environments, a less explored area in current research that mainly centered on outdoor or simpler indoor settings. To achieve this, the study enhanced the dataset quality by generating synthetic images that closely represent actual indoor conditions including different lighting, object complexity and scale, occlusion, clutter, and viewpoints. This study also evaluated different mixes of synthetic and real images to determine the optimum combination for effective training. Moving beyond commonly used algorithms such as Mask R-CNN and You Only Look Once (YOLO), the method applied in this work is the YOLACT++ with deformable convolutional neural networks v2 (DCNv2), enhancing the model's ability to handle objects with different scales, postures, rotations, and viewpoints in the images that are essential in indoor environments. The model is validated on a large test dataset, including real images from construction sites, to cover different indoor scenarios. The model achieved a precision of 84.80% and a recall of 85.58% for HVAC duct detection and a precision of 86.87% and a recall of 73.93% for pipe detection, demonstrating its effectiveness under challenging conditions. This method contributes to more accurate automated progress monitoring in indoor environments by reducing manual and error prone inspections.
Triana-Granados, K V, Bernard, I R, Merlin, A, Lucko, G and Ballesteros-Pérez, P (2024) Graphical delay tracking for linear and repetitive schedules. Journal of Construction Engineering and Management, 150(08).
Ure, J D, South, A J, Farnsworth, C B, Bown, M and Thompson, N (2024) Enlarging the role of CEM professionals in corporate sustainability: ESG programs and the built environment. Journal of Construction Engineering and Management, 150(08).
Wang, H, Yi, W, Zhen, L and Chan, A P C (2024) Cost-optimized transport planning for prefabricated modules with the implementation of the just-in-time strategy. Journal of Construction Engineering and Management, 150(08).
Yue, H, Ye, G, Liu, Q, Yang, X, Xiang, Q and Luo, Y (2024) Impact of cognitive fatigue on attention and the implications for construction safety: A neuroscientific perspective. Journal of Construction Engineering and Management, 150(08).
Zheng, R, Li, Z, Li, L, Dou, Y, Yuan, M and Yin, X (2024) Proposing a lean-optimized scheduling model of mixed-flow prefabricated component production in off-site construction. Journal of Construction Engineering and Management, 150(08).
Zhong, B, Tian, J, Pan, X and Shen, L (2024) An online housing reputation assessment framework based on text mining and visualization technologies. Journal of Construction Engineering and Management, 150(08).