Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kendrik Yan Hong Lim"'
Publikováno v:
Buildings, Vol 12, Iss 11, p 2004 (2022)
With increasing interest in automatic and intelligent systems to enhance the building and construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to meet stakeholder requirements. Comprising real-time multi-asset
Externí odkaz:
https://doaj.org/article/fe3d926856094c38b11a720be28fc7fc
Mental States and Cognitive Performance Monitoring for User-Centered e-Learning System: A Case Study
Publikováno v:
Advances in Transdisciplinary Engineering ISBN: 9781643683386
The unprecedented long-term online learning caused by COVID-19 has increased stress symptoms among students. The e-learning system reduces communications between teachers and students, making it difficult to observe student’s mental issues and lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79592a9baf4a90970b75619ff9181487
https://doi.org/10.3233/atde220697
https://doi.org/10.3233/atde220697
Publikováno v:
Advances in Transdisciplinary Engineering ISBN: 9781643683386
The adoption and integration of e-commerce strategies into existing business models have allowed many companies to broaden their customer base and boost profits. However, the lack of a cost-efficient logistics planning model often results in the unsa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d877518ac672dab841655fb040c99254
https://doi.org/10.3233/atde220677
https://doi.org/10.3233/atde220677
Publikováno v:
Journal of Manufacturing Systems. 57:82-93
Engineering product family design and optimization in complex environments has been a major bottleneck in today’s industrial transformation towards smart manufacturing. Digital twin (DT), as a core part of cyber-physical system (CPS), can provide d
Autor:
Pai Zheng, Kendrik Yan Hong Lim
Publikováno v:
Procedia CIRP. 93:246-250
Complex product family design and optimization has been a major challenge in today’s mass customization paradigm. Nevertheless, there is still no context-aware testbed to support it. Digital twin, as an emerging concept empowered by the cutting-edg
Autor:
Jie Fan, Hongwei Fan, Ke He, Kendrik Yan Hong Lim, Ruiqi Hu, Mingxuan Hu, Zuguang Huang, Zhenrui Ji, Shiqian Ke, Hao Li, Yilin Li, Dar Win Liew, Xinyuan Lv, Yufei Ma, Yongli Ma, Yanping Ma, A.Y.C. Nee, Qinglin Qi, Qianzhe Qiao, Huibin Sun, Diyin Tang, Fei Tao, Jinjiang Wang, Haoqi Wang, Yan Wang, Feng Xiang, Wenjun Xu, Yuanpu Yao, Jinsong Yu, Xuhui Zhang, Zhinan Zhang, Pai Zheng, Zude Zhou, Ying Zuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccbc56e55d0adda16503ccdc7c16038
https://doi.org/10.1016/b978-0-323-91300-3.01002-0
https://doi.org/10.1016/b978-0-323-91300-3.01002-0
Publikováno v:
Journal of Intelligent Manufacturing. 31:1313-1337
With the rapid advancement of cyber-physical systems, Digital Twin (DT) is gaining ever-increasing attention owing to its great capabilities to realize Industry 4.0. Enterprises from different fields are taking advantage of its ability to simulate re
Publikováno v:
2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).