Abstracts – Browse Results
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Alashwal, N and Alashwal, A (2023) Rural access programs in Yemen: delay of international funded road projects. Engineering, Construction and Architectural Management, 30(04), 1746-67.
Alsulami, H, Serbaya, S H, Rizwan, A, Saleem, M, Maleh, Y and Alamgir, Z (2023) Impact of emotional intelligence on the stress and safety of construction workers' in Saudi Arabia. Engineering, Construction and Architectural Management, 30(04), 1365-78.
Amiri, R, Majrouhi Sardroud, J and Momenaei Kermani, V (2023) Decision support system for tower crane location and material supply point in construction sites using an integer linear programming model. Engineering, Construction and Architectural Management, 30(04), 1444-62.
Andersen, M (2002) Light distribution through advanced fenestration systems. Building Research & Information, 30(04), 264–81.
Cheraghi, E, Zohrehvandi, S, Vanhoucke, M and Mohamadpour Tosarkani, B (2023) A multiproject scheduling and resource management model in projects construction. Engineering, Construction and Architectural Management, 30(04), 1578-600.
Du, H, Han, Q, Sun, J and Wang, C C (2023) Adoptions of prefabrication in residential sector in China: agent-based policy option exploration. Engineering, Construction and Architectural Management, 30(04), 1697-725.
Du, J, Xue, Y, Sugumaran, V, Hu, M and Dong, P (2023) Improved biogeography-based optimization algorithm for lean production scheduling of prefabricated components. Engineering, Construction and Architectural Management, 30(04), 1601-35.
Dulaimi, M F, Ling, F Y Y, Ofori, G and Silva, N D (2002) Enhancing integration and innovation in construction. Building Research & Information, 30(04), 237–47.
Ebekozien, A, Aigbavboa, C O, Aigbedion, M, Ogbaini, I F and Aginah, I L (2023) Integrated project delivery in the Nigerian construction sector: an unexplored approach from the stakeholders’ perspective. Engineering, Construction and Architectural Management, 30(04), 1519-35.
Fuller, R J and Luther, M B (2002) Thermal simulation of an Australian university building. Building Research & Information, 30(04), 255–63.
Greenwood, D and Wu, S (2012) Establishing the association between collaborative working and construction project performance based on client and contractor perceptions. Construction Management and Economics, 30(04), 299-308.
Guo, H and Lu, W (2023) Measuring competitiveness with data-driven principal component analysis: a case study of Chinese international construction companies. Engineering, Construction and Architectural Management, 30(04), 1558-77.
Hatamleh, M T, Moynihan, G P, Batson, R G, Alzarrad, A and Ogunrinde, O (2023) Risk assessment and ranking in the developing countries’ construction industry: the case of Jordan. Engineering, Construction and Architectural Management, 30(04), 1344-64.
Hu, H, Deng, X and Mahmoudi, A (2023) A cognitive model for understanding fraudulent behavior in construction industry. Engineering, Construction and Architectural Management, 30(04), 1423-43.
Huang, C-F and Lien, H-C (2012) An empirical analysis of the influences of corporate social responsibility on organizational performance of Taiwan's construction industry: using corporate image as a mediator. Construction Management and Economics, 30(04), 263-75.
Ibrahimkhil, M H and Hadidi, L (2023) Is the construction site a safer place under the USACE or local government guidelines? The case of Afghanistan. Engineering, Construction and Architectural Management, 30(04), 1379-400.
Kohler, N and Hassler, U (2002) The building stock as a research object. Building Research & Information, 30(04), 226–36.
Laar, M and Grimme, F W (2002) German developments in guidance systems: an overview daylight. Building Research & Information, 30(04), 282–301.
Lee, C (2023) Evaluating construction delays using productivity-based resource reallocation for economic feasibility. Engineering, Construction and Architectural Management, 30(04), 1679-96.
Li, J, Zhou, G, Li, D, Zhang, M and Zhao, X (2023) Recognizing workers' construction activities on a reinforcement processing area through the position relationship of objects detected by faster R-CNN. Engineering, Construction and Architectural Management, 30(04), 1657-78.
- Type: Journal Article
- Keywords: activities recognition; computer vision; construction site; deep learning; engineering management; faster r-cnn; object detection
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-04-2021-0312
- Abstract:
Purpose: Recognizing every worker’s working status instead of only describing the existing construction activities in static images or videos as most computer vision-based approaches do; identifying workers and their activities simultaneously; establishing a connection between workers and their behaviors. Design/methodology/approach: Taking a reinforcement processing area as a research case, a new method for recognizing each different worker’s activity through the position relationship of objects detected by Faster R-CNN is proposed. Firstly, based on four workers and four kinds of high-frequency activities, a Faster R-CNN model is trained. Then, by inputting the video into the model, with the coordinate of the boxes at each moment, the status of each worker can be judged. Findings: The Faster R-CNN detector shows a satisfying performance with an mAP of 0.9654; with the detected boxes, a connection between the workers and activities is established; Through this connection, the average accuracy of activity recognition reached 0.92; with the proposed method, the labor consumption of each worker can be viewed more intuitively on the visualization graphics. Originality/value: With this proposed method, the visualization graphics generated will help managers to evaluate the labor consumption of each worker more intuitively. Furthermore, human resources can be allocated more efficiently according to the information obtained. It is especially suitable for some small construction scenarios, in which the recognition model can work for a long time after it is established. This is potentially beneficial for the healthy operation of the entire project, and can also have a positive indirect impact on structural health and safety.
Liu, J, Wang, Y and Wang, Z (2023) Multidimensional drivers: exploring contractor rule violations in the construction industry. Engineering, Construction and Architectural Management, 30(04), 1496-518.
Mahdavian, S, Lu, M and Pereira, E (2023) Application framework for safety-centric construction acceleration planning. Engineering, Construction and Architectural Management, 30(04), 1401-22.
MarchwiĆski, J and Kurtz-Orecka, K (2023) Effect of photovoltaic installation power and façade glazing ratio on the energy performance of a nursery building. Engineering, Construction and Architectural Management, 30(04), 1463-80.
Mirzaee, A M, Hosseini, M R, Martek, I, Rahnamayiezekavat, P and Arashpour, M (2023) Mitigation of contractual breaches in international construction joint ventures under conditions of absent legal recourse: case studies from Iran. Engineering, Construction and Architectural Management, 30(04), 1481-95.
Rose, T M and Manley, K (2012) Adoption of innovative products on Australian road infrastructure projects. Construction Management and Economics, 30(04), 277-98.
Scala, N M, Liu, M, Alves, T C L, Schiavone, V and Hawkins, D (2023) The gold standard: developing a maturity model to assess collaborative scheduling. Engineering, Construction and Architectural Management, 30(04), 1636-56.
Shojaei, R S, Oti-Sarpong, K and Burgess, G (2023) Enablers for the adoption and use of BIM in main contractor companies in the UK. Engineering, Construction and Architectural Management, 30(04), 1726-45.
Stehn, L (2002) Environmental labelling of timber-framed dwellings and their building components. Building Research & Information, 30(04), 248–54.
Thomson, D, Kaka, A, Pronk, L and Alalouch, C (2012) The use of freelisting to elicit stakeholder understanding of the benefits sought from healthcare buildings. Construction Management and Economics, 30(04), 309-23.
Tu, B, Zuo, J, Chang, R D, Webber, R J, Xiong, F and Dong, N (2023) A system dynamic model for assessing the level of BIM implementation in construction phase: a China case study. Engineering, Construction and Architectural Management, 30(04), 1321-43.
Xue, J, Shen, G Q, Deng, X, Ogungbile, A J and Chu, X (2023) Evolution modeling of stakeholder performance on relationship management in the dynamic and complex environments of megaprojects. Engineering, Construction and Architectural Management, 30(04), 1536-57.
Zhou, Q, Chen, S, Deng, X and Mahmoudi, A (2023) Knowledge transfer among members within cross-cultural teams of international construction projects. Engineering, Construction and Architectural Management, 30(04), 1787-808.
Zhou, S, Qin, L, Zhang, J and Cao, X (2023) Research on the influencing factors of knowledge transfer among construction workers based on social cognitive theory. Engineering, Construction and Architectural Management, 30(04), 1768-86.