Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kenneth Teo Tze Kin"'
Publikováno v:
IEEE Access, Vol 10, Pp 9309-9320 (2022)
Renewable Energy Sources (RESs) are increasingly integrated into distribution networks due to their undeniable technical and environmental advantages. Despite all the economical and environmental benefits of RESs, they can negatively affect the distr
Externí odkaz:
https://doaj.org/article/38101b7f774d4da59e083aafdcb73455
Publikováno v:
IEEE Access, Vol 10, Pp 13966-13973 (2022)
The Grid-Connected Droop-Controlled Distributed Generations (GCDCDGs) are widely used in power systems. However, their power flow is very sensitive to the Upstream Grid (UG) frequency and voltage magnitude fluctuations. This paper focuses on the powe
Externí odkaz:
https://doaj.org/article/8d23d61b63ef4297be179f0a036ba2db
Autor:
Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Kenneth Teo Tze Kin, Saeid Sanei
Publikováno v:
Sensors, Vol 21, Iss 22, p 7732 (2021)
The incremental least-mean-square (ILMS) algorithm is a useful method to perform distributed adaptation and learning in Hamiltonian networks. To implement the ILMS algorithm, each node needs to receive the local estimate of the previous node on the c
Externí odkaz:
https://doaj.org/article/bf739746f80e4649b03e778d174876a0
Autor:
Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin
Publikováno v:
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dbd0fb013b1d7f9bc1458075e78cd49
https://doi.org/10.1109/iicaiet55139.2022.9936794
https://doi.org/10.1109/iicaiet55139.2022.9936794
Autor:
Alixson Polumpung, Lorita Angeline, Helen Sin Ee Chuo, Min Keng Tan, Kit Guan Lim, Kenneth Teo Tze Kin
Publikováno v:
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e8d133f06feac49e8a91817cf8d03e
https://doi.org/10.1109/iicaiet55139.2022.9936760
https://doi.org/10.1109/iicaiet55139.2022.9936760
Autor:
Tianlei Wang, Junhui Li, Renju Liu, Jinzhao Xu, Xiaoxi Hao, Kenneth Teo Tze Kin, Jiehong Liang
Publikováno v:
3D Imaging—Multidimensional Signal Processing and Deep Learning ISBN: 9789811924477
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe053a6d3d85aef97acb1a6435f0b66e
https://doi.org/10.1007/978-981-19-2448-4_2
https://doi.org/10.1007/978-981-19-2448-4_2
Autor:
Tianlei Wang, Zhaoming Zheng, Ziyang Chen, Jingling Zhang, Jinzhao Xu, Hongmin Wang, Kenneth Teo Tze Kin, Yongwen Xie
Publikováno v:
2021 Smart City Challenges & Outcomes for Urban Transformation (SCOUT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b7485d2ffc021c81e82a9ff7bae4cf
https://doi.org/10.1109/scout54618.2021.00054
https://doi.org/10.1109/scout54618.2021.00054
Autor:
Tianlei Wang, Qimei Zhang, Zhaoming Zheng, Zhiqin Wu, Yanyang Liang, Kenneth Teo Tze Kin, Xizhu Chen
Publikováno v:
The 4th International Conference on Information Technologies and Electrical Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49c92a6d0d6eecbc5166508c43e85dd2
https://doi.org/10.1145/3513142.3513158
https://doi.org/10.1145/3513142.3513158
Autor:
Saeid Sanei, Kenneth Teo Tze Kin, Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 7732, p 7732 (2021)
Sensors
Volume 21
Issue 22
Sensors, Vol 21, Iss 7732, p 7732 (2021)
Sensors
Volume 21
Issue 22
The incremental least-mean-square (ILMS) algorithm is a useful method to perform distributed adaptation and learning in Hamiltonian networks. To implement the ILMS algorithm, each node needs to receive the local estimate of the previous node on the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5237de76fe0d3e4504ac421344cfe71
https://doi.org/10.3390/s21227732
https://doi.org/10.3390/s21227732
Publikováno v:
2013 IEEE Conference on Clean Energy and Technology (CEAT).
The effect of different anti-reflective coating on responsivity of silicon photo detector has been successfully analyzed in this work. N-type highly pure crystalline c-Si wafer based P+N photo detector is fabricated using Silvaco TCAD software. Diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d91cdbe4e09d24dd022c485600eace29
https://doi.org/10.1109/ceat.2013.6775673
https://doi.org/10.1109/ceat.2013.6775673