Zobrazeno 1 - 10
of 106
pro vyhledávání: '"V Jayan"'
Publikováno v:
IEEE Access. 10:82407-82417
Autor:
Sreejith Alathur, V Jayan
Publikováno v:
International Journal of Electronic Government Research. 18:1-21
Most of the countries are heading to Government 3.0 with the advent of Information Communication Technology (ICT). Information Integration has to be done with the support of different stakeholders for an effective e-Governance ecosystem. The use of A
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811949708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb27bb04bebc30e3d446541e8b0a9d5b
https://doi.org/10.1007/978-981-19-4971-5_56
https://doi.org/10.1007/978-981-19-4971-5_56
Integrated fuzzy-based modular cell balancing using mono circuitry for electric vehicle applications
Publikováno v:
Electrical Engineering. 103:153-165
Series–parallel connected Li-ion battery string is an inevitable component of electric/hybrid electric vehicle (EV/HEV). One of the common concerns of battery system is charge imbalance among the series connected batteries, which leads to over volt
Publikováno v:
World Journal of Engineering. 17:585-598
Purpose This paper aims to propose an improved multifunctional control strategy for achieving real, reactive power flow control and the mitigation of power quality issues in grid integrated photovoltaic (GIPV) systems. Design/methodology/approach The
Autor:
V Jayan, Sreejith Alathur
Publikováno v:
2021 6th International Conference on Computing, Communication and Security (ICCCS).
Publikováno v:
2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT).
Electric Vehicle (EV)/ Hybrid Electric Vehicle (HEV) enabled by high-efficiency electric motor and controller, provide the means for a clean, efficient and environmental friendly transportation system. Portable rechargeable batteries are the essentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d552fcb48e3e18361fc05b20985ec469
https://doi.org/10.9734/bpi/aaer/v10/8587d
https://doi.org/10.9734/bpi/aaer/v10/8587d
Publikováno v:
International Journal of Medical Engineering and Informatics. 14:105
Autor:
Ani Harish, M. V. Jayan
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811573446
This paper proposes an ensemble of feature extraction techniques for extracting features and an ensemble machine learning algorithm for classification of transmission line faults from voltage, voltage angle, and frequency signals. Transmission line p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b81efd545ca3f33e665cb126e0fa8d2
https://doi.org/10.1007/978-981-15-7345-3_35
https://doi.org/10.1007/978-981-15-7345-3_35