Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Himanshu Chhabra"'
Autor:
Prince Jain, Himanshu Chhabra, Urvashi Chauhan, Krishna Prakash, Piyush Samant, Dhiraj Kumar Singh, Mohamed S. Soliman, Mohammad Tariqul Islam
Publikováno v:
IEEE Access, Vol 11, Pp 128774-128783 (2023)
This work presents a metamaterial absorber (MMA) for X- and Ku-bands with a metallic resonating patch on top and a ground plane separated by substrate FR-4 with a thickness of $0.053~\lambda $ at the lowest resonance frequency. The proposed MMA demon
Externí odkaz:
https://doaj.org/article/fbdde927c22f4caf800ebf86fedd9e55
Autor:
Prince Jain, Himanshu Chhabra, Urvashi Chauhan, Krishna Prakash, Akash Gupta, Mohamed S. Soliman, Md. Shabiul Islam, Mohammad Tariqul Islam
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract A hepta-band terahertz metamaterial absorber (MMA) with modified dual T-shaped resonators deposited on polyimide is presented for sensing applications. The proposed polarization sensitive MMA is ultra-thin (0.061 λ) and compact (0.21 λ) at
Externí odkaz:
https://doaj.org/article/6b24bf8fdbad41ee8f00ac8d869138b8
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 47:463-472
Publikováno v:
International Journal of Fuzzy Systems. 25:794-815
This paper presents an analytical design of a fractional order fuzzy proportional integral plus derivative (FOFPI + D) controller. Artificial intelligence is incorporated into the controller with the help of a formula-based fuzzy logic system. The de
Autor:
Himanshu Chhabra, Lakhan Dev Sharma, Ritesh Kumar Saraswat, Ramesh Kumar Sunkaria, Urvashi Chauhan
Publikováno v:
International Journal of Information Technology. 13:2363-2369
Cognitive load recognition during mental arithmetic activity facilitates to observe and identify the brain’s response towards stress stimulus. As a result, an efficient mental load characterization approach using electroencephalogram (EEG) signal a
Publikováno v:
Neural Computing and Applications. 32:2055-2079
The aim of this article is to utilize fractional calculus for performance enhancement of nonlinear fuzzy PD + I controller. A fractional order fuzzy PD + I controller (FOFPD + I) is designed and implemented to control complex, uncertain and nonlinear
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:2195-2205
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811507502
Almost all surgeries require anesthetist which increases the price of surgery. So, there is a requirement to automate the process of anesthesia. The proper dose of anesthesia is very critical. In this paper, we have proposed the application of fracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bcef20e95fab671fc7004bf763921d5
https://doi.org/10.1007/978-981-15-0751-9_97
https://doi.org/10.1007/978-981-15-0751-9_97
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 34:1467-1478
Publikováno v:
Neural Computing and Applications. 31:4253-4270
This work presents a generic two-degree-of-freedom fractional order fuzzy PI-D (2DOF FOFPI-D) controller dedicated to a class of nonlinear systems. The control law for proposed scheme is derived from basic 2DOF fractional order PID controller in disc