Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Jimi T"'
Publikováno v:
IEEE Access, Vol 12, Pp 41579-41589 (2024)
Integration of the impacts of time and space harmonics simultaneously during the design stages of inverter-fed induction machines (IMs) is crucial for the accurate calculation of electromagnetic (EM) torque and ripples. Traditional magnetic field-bas
Externí odkaz:
https://doaj.org/article/4834384a07ea45c3b7e06233c9d57f38
Publikováno v:
Journal of Materials Research and Technology, Vol 26, Iss , Pp 1723-1735 (2023)
Efficiency enhancement of hydrogen based electric powertrain is becoming highly relevant for medium to heavy duty transportation due to advantages of eminent electrochemical cell design and advances in infrastructure accessibility. Herein, a facile a
Externí odkaz:
https://doaj.org/article/7cf5fb2d77c54c5da5ba2ba432c734d8
Hydrothermally carbonized xylem sap for use in chemosensors, on and off switches, and memory devices
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 3213-3220 (2022)
Multiple novel chemo sensor devices were created using hydrothermally synthesized fluorescent carbon produced from xylem sap. Most notably, UV light shone on the carbon can be used to selectively detect Fe3＋ ions and pH by the “naked eye” insta
Externí odkaz:
https://doaj.org/article/99432fce24d8469a916981dff4b904d6
Autor:
Kitai, M., Narita, M., Shimada, K., Suzuki, K., Nakazawa, H., Shibutani, T., Yamamoto, K., Jimi, T., Yano, H., Shiozaki, T., Matsuoka, K., Nagao, S., Yamaguchi, S.
Publikováno v:
In Gynecologic Oncology October 2020 159 Supplement 1:355-355
Intelligent Detection and Real-time Monitoring of Engine Oil Aeration Using a Machine Learning Model
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 15, Pp 1869-1886 (2021)
This research work develops a machine learning model for detecting and real-time monitoring engine oil aeration in an internal combustion engine using only single high-speed oil pressure sensor. The presented method uses a five level cascading discre
Externí odkaz:
https://doaj.org/article/18024c94e8fa4433ab87c35d9b1ae062
Akademický článek
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Autor:
Wakayama, Y., Inoue, M., Kojima, H., Jimi, T., Yamashita, S., Shibuya, S., Hara, H., Oniki, H.
Publikováno v:
DIGITUM. Depósito Digital Institucional de la Universidad de Murcia
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a1-Syntrophin, a scaffolding adapter and modular protein, is a cytoplasmic component of the dystrophin glycoprotein complex. This study investigated immunohistochemically the expression of a1-syntrophin in Duchenne and Fukuyama muscular dystrophies (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::29ca05a5db01917bd0ad2590b5e35f70
Akademický článek
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Publikováno v:
Advanced Industrial and Engineering Polymer Research, Vol 3, Iss 1, Pp 36-45 (2020)
This paper focuses on the development of polyvinylidene fluoride microfoam by implementing a chemical blowing agent through a continuous process. The objective was to investigate the effects caused by varying concentrations of chemical blowing agent,
Externí odkaz:
https://doaj.org/article/6ef1ea7a0c5b43fb82a89d964adbf6dd
Publikováno v:
IEEE Access, Vol 8, Pp 104762-104774 (2020)
This research presents an extreme learning machine (ELM) based neural network modeling technique for gasoline engine torque prediction. The technique adopts a single-hidden layer feedforward neural network (SLFN) structure which has the potential to
Externí odkaz:
https://doaj.org/article/051e8cb216a34557876d62f63fdace64