Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Pham, Tu"'
Publikováno v:
Power Electronics and Drives, Vol 9, Iss 1, Pp 519-538 (2024)
This work presents a comprehensive method for precisely determining the equivalent circuit characteristics of single-phase induction motors (SPIM), including both direct and indirect steps. First, a DC test, a no-load test and a locked-rotor test are
Externí odkaz:
https://doaj.org/article/1fca66569b1545f7b6958a918ee013f1
Patient scheduling is a difficult task involving stochastic factors such as the unknown arrival times of patients. Similarly, the scheduling of radiotherapy for cancer treatments needs to handle patients with different urgency levels when allocating
Externí odkaz:
http://arxiv.org/abs/2112.08549
Autor:
Daftry, Shreyansh, Ridge, Barry, Seto, William, Pham, Tu-Hoa, Ilhardt, Peter, Maggiolino, Gerard, Van der Merwe, Mark, Brinkman, Alex, Mayo, John, Kulczyski, Eric, Detry, Renaud
A potential Mars Sample Return (MSR) architecture is being jointly studied by NASA and ESA. As currently envisioned, the MSR campaign consists of a series of 3 missions: sample cache, fetch and return to Earth. In this paper, we focus on the fetch pa
Externí odkaz:
http://arxiv.org/abs/2103.09942
Autor:
Pham, Tu-Hoa, Seto, William, Daftry, Shreyansh, Ridge, Barry, Hansen, Johanna, Thrush, Tristan, Van der Merwe, Mark, Maggiolino, Gerard, Brinkman, Alexander, Mayo, John, Cheng, Yang, Padgett, Curtis, Kulczycki, Eric, Detry, Renaud
We consider the problem of rover relocalization in the context of the notional Mars Sample Return campaign. In this campaign, a rover (R1) needs to be capable of autonomously navigating and localizing itself within an area of approximately 50 x 50 m
Externí odkaz:
http://arxiv.org/abs/2103.03395
Akademický článek
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Autor:
Ngo, Van-Chinh, Nguyen, Thi-Kim-Quyen, Pham, Nguyen-Huu-Hanh, Pham, Tu-Huynh, Phan, Thi-Kim-Loan, Do, Van-Nam, Vu, Thanh-Tra
Publikováno v:
In Physica B: Condensed Matter 1 December 2023 670
Akademický článek
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Akademický článek
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Autor:
Pham, Tu-Hoa, De Magistris, Giovanni, Agravante, Don Joven, Chaudhury, Subhajit, Munawar, Asim, Tachibana, Ryuki
We consider the problem of reinforcement learning under safety requirements, in which an agent is trained to complete a given task, typically formalized as the maximization of a reward signal over time, while concurrently avoiding undesirable actions
Externí odkaz:
http://arxiv.org/abs/1809.08925
Autor:
Moriyama, Takao, De Magistris, Giovanni, Tatsubori, Michiaki, Pham, Tu-Hoa, Munawar, Asim, Tachibana, Ryuki
Common approaches to control a data-center cooling system rely on approximated system/environment models that are built upon the knowledge of mechanical cooling and electrical and thermal management. These models are difficult to design and often lea
Externí odkaz:
http://arxiv.org/abs/1808.10427