Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Kwok-Wai Wong"'
Autor:
Biyanka Ekanayake, Johnny Kwok Wai Wong, Alireza Ahmadian Fard Fini, Peter Smith, Vishal Thengane
Publikováno v:
Project Leadership and Society, Vol 5, Iss , Pp 100149- (2024)
Progress monitoring is crucial for effective project management, particularly in construction projects. The adoption of computer vision with deep learning expedites automation, accuracy, and efficiency in construction progress monitoring by overcomin
Externí odkaz:
https://doaj.org/article/d408ccc3d5ce49f79b99f36ef1ed76f5
Publikováno v:
Sensors, Vol 21, Iss 24, p 8163 (2021)
The malfunctioning of the heating, ventilating, and air conditioning (HVAC) system is considered to be one of the main challenges in modern buildings. Due to the complexity of the building management system (BMS) with operational data input from a la
Externí odkaz:
https://doaj.org/article/c41f3d8e5c1e42808d970af1f8cd2c81
Publikováno v:
Construction Innovation.
Purpose Accurate and rapid tracking and counting of building materials are crucial in managing on-site construction processes and evaluating their progress. Such processes are typically conducted by visual inspection, making them time-consuming and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a53aeae0df4996ddb2d26d1e9d17a08b
https://doi.org/10.1108/ci-10-2022-0275
https://doi.org/10.1108/ci-10-2022-0275
Publikováno v:
Construction Innovation.
Purpose Recognising the as-built state of construction elements is crucial for construction progress monitoring. Construction scholars have used computer vision-based algorithms to automate this process. Robust object recognition from indoor site ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdbd648802a4b0d7f1b5fbccca7beda8
https://doi.org/10.1108/ci-05-2022-0121
https://doi.org/10.1108/ci-05-2022-0121
Publikováno v:
Engineering, Construction and Architectural Management, 2014, Vol. 21, Issue 4, pp. 403-420.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ECAM-09-2013-0082
Autor:
Johnny Kwok Wai Wong, Mojtaba Maghrebi, Alireza Ahmadian Fard Fini, Mohammad Amin Alizadeh Golestani, Mahdi Ahmadnia, Michael Er
Purpose Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes. The state-of-the-art low-light image enhancement method provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce2da1c3c0432f6a0654fc80e4f91628
https://hdl.handle.net/10453/161834
https://hdl.handle.net/10453/161834
Publikováno v:
Science of The Total Environment. 868:161335
This study investigated the spatiotemporal variation, chemical characteristics, and source resolution of PM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cec86bb11a2d91932e4f61e89d5bfdf
https://doi.org/10.1016/j.scitotenv.2022.161335
https://doi.org/10.1016/j.scitotenv.2022.161335
Autor:
Chung-Shin Yuan, Jun-Hao Ceng, Po-Hsuan Yen, Kuan-Chen Chiang, Yu-Lun Tseng, Kwok-Wai Wong, Ming-Shiou Jeng
Publikováno v:
Aerosol and Air Quality Research. 23:220350
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00509085ffd62ace098d4967ad6db7de
https://doi.org/10.4209/aaqr.220350
https://doi.org/10.4209/aaqr.220350
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 11 (2014)
The need for an efficient means of managing emissions and identifying potential hazard black spots in construction processes effectively and at the lowest cost possible has been highlighted in the construction sector. This study illustrates an integr
Externí odkaz:
https://doaj.org/article/473ac2d120d0487989e82e78e126a4d6
Autor:
Chung-Shin, Yuan, Cheng-En, Lee, Iau-Ren, Ie, Kuan-Chen, Chiang, Yu-Lun, Tseng, Kwok-Wai, Wong
Publikováno v:
Science of The Total Environment. 815:152785
In this study, the pollution characteristics, spatiotemporal variation, and potential sources of atmospheric speciated mercury (ASM) in an industrial harbor area were explored. Gaseous elemental mercury (GEM), gaseous oxidized mercury (GOM), and part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7666e7a708db49a69af5234b9ce1c2d0
https://doi.org/10.1016/j.scitotenv.2021.152785
https://doi.org/10.1016/j.scitotenv.2021.152785