Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Dickson Neoh Tze How"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 16 (2019)
In this article, we present a review on the recent advancement in flexible deformable object modeling for dexterous manipulation in robotic system. Flexible deformable object is one of the most research topics in computer graphic, computer vision, an
Externí odkaz:
https://doaj.org/article/bd44590bfcd941b08dd3ed06f56e3e44
Autor:
Yew Cheong Hou, Khairul Salleh Mohamed Sahari, Leong Yeng Weng, Dickson Neoh Tze How, Hiroaki Seki
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
The research focuses on the development of a robust home service robot that is capable of doing multiple types of household chores. This work considers the problem of garment perception and folding procedure by a home service robot, focusing on the t
Externí odkaz:
https://doaj.org/article/3c4f8794738041ba9a01987210066359
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 13 (2016)
Learning from demonstration plays an important role in enabling robot to acquire new behaviors from human teachers. Within learning from demonstration, robots learn new tasks by recognizing a set of preprogrammed behaviors or skills as building block
Externí odkaz:
https://doaj.org/article/6519fb7127e24401808153f29c093d44
Autor:
S. Hossain Lipu, Kashem M. Muttaqi, Dickson Neoh Tze How, Pin Ker, Muhamad Mansor, Mahammad A. Hannan
Publikováno v:
IEEE Transactions on Industry Applications. 57:2964-2971
Deep learning has gained much traction in application to state-of-charge (SOC) estimation for Li-ion batteries in electric vehicle applications. However, with the vast selection of architectures and hyperparameter combinations, it remains challenging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f1c260a109043273f797d544659d617
https://doi.org/10.1109/tia.2021.3065194
https://doi.org/10.1109/tia.2021.3065194
Autor:
M. Mansur, Pin Jern Ker, Zhao Yang Dong, Dickson Neoh Tze How, M. S. Hossain Lipu, Mahammad A. Hannan, Frede Blaabjerg
Publikováno v:
Hannan, M A, How, D N T, Lipu, M S H, Ker, P J, Dong, Z Y, Manur, M & Blaabjerg, F 2021, ' SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network ', I E E E Transactions on Power Electronics, vol. 36, no. 7, 9276459, pp. 7349-7353 . https://doi.org/10.1109/TPEL.2020.3041876
In this letter, we train deep learning (DL) models to estimate the state-of-charge (SOC) of lithium-ion (Li-ion) battery directly from voltage, current, and battery temperature values. The deep fully convolutional network model is proposed for its no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::256be92f8b93e3d569a453914e4a62b3
https://vbn.aau.dk/da/publications/df2399ca-b2a1-43c0-ae06-be95b5e33a87
https://vbn.aau.dk/da/publications/df2399ca-b2a1-43c0-ae06-be95b5e33a87
Publikováno v:
IEEE Access, Vol 7, Pp 136116-136136 (2019)
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising features of high voltage, high energy density, low self-discharge and long lifecycles. The successful operation of EV is highly dependent on the operation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1943ebf67b6b9982777c7bea91bb0852
https://ieeexplore.ieee.org/document/8843918/
https://ieeexplore.ieee.org/document/8843918/
Autor:
Mahammad A. Hannan, Kashem M. Muttaqi, M. S. Hossain Lipu, Pin Jern Ker, Muhamad Mansor, Dickson Neoh Tze How
Publikováno v:
IAS
The state of charge (SOC) is a crucial indicator of a Li-ion battery management system (BMS). A BMS with a good SOC assessment can dramatically improve the lifespan of the battery and ensure the safety of the end-user. With deep learning making treme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba6a153b108c76449bdc298d46aeacb5
https://doi.org/10.1109/ias44978.2020.9334824
https://doi.org/10.1109/ias44978.2020.9334824
Autor:
Dickson Neoh Tze How, Muhammad Fairuz Abdul Jalal, Mohd Azwan Aziz, Khairul Salleh Mohamed Sahari, Muhammad Fahmi Abdul Ghani, Kamal Yunos, Adzly Anuar
Publikováno v:
Procedia Computer Science. 105:304-309
In general, inspection routine at power plant industry can be significantly improved by implementing integrated inspection system of which offer various advantages in term of ease of use, reliability, safety, cost and efficiency. Our research center
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b6962510cd877247fc14260259b64a
https://doi.org/10.1016/j.procs.2017.01.226
https://doi.org/10.1016/j.procs.2017.01.226
Publikováno v:
CRC
This work studies the problem of classification of a hung garment in the unfolding procedure by a home service robot. The sheer number of unpredictable configurations that the deformable object can end up in makes the visual identification of the obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5927a95dcc5e4494c331ec70ec71e828
https://doi.org/10.1109/crc.2019.00021
https://doi.org/10.1109/crc.2019.00021
Autor:
Yew Cheong Hou, Dickson Neoh Tze How, Omar Gumaan Saleh Basubeit, Khairul Salleh Mohamed Sahari
Publikováno v:
CRC
An essential component in the race towards the self-driving car is automatic traffic sign recognition. The capability to automatically recognize road signs allow self-driving cars to make prompt decisions such as adhering to speed limits, stopping at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64472beb63b177b5af4bed6f25bfcd62
https://doi.org/10.1109/crc.2019.00030
https://doi.org/10.1109/crc.2019.00030