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Institution

Indian Institute of Technology Ropar

EducationRopar, India
About: Indian Institute of Technology Ropar is a education organization based out in Ropar, India. It is known for research contribution in the topics: Catalysis & Computer science. The organization has 1014 authors who have published 2878 publications receiving 35715 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the uncertainties in the nuclear transition matrix elements of the PHFB model are estimated to be around 35% with the Miller-Spencer parametrization of Jastrow short-range correlations.
Abstract: Employing four different parametrizations of the pairing plus the multipolar type of effective two-body interaction and three different parametrizations of the Jastrow type of short-range correlations, the uncertainties in the nuclear transition matrix elements ${M}_{N}^{\left(0\ensuremath{ u}\right)}$ due to the exchange of heavy Majorana neutrino for the ${0}^{+}\ensuremath{\rightarrow}{0}^{+}$ transition of neutrinoless double beta decay of ${\phantom{\rule{4pt}{0ex}}}^{94}$Zr, ${}^{96}$Zr, ${}^{98}$Mo, ${}^{100}$Mo, ${}^{104}$Ru, ${}^{110}$Pd, ${}^{128,130}$Te, and ${}^{150}$Nd isotopes in the PHFB model are estimated to be around 35$%$. Excluding the nuclear transition matrix elements calculated with the Miller-Spencer parametrization of Jastrow short-range correlations, the uncertainties are found to be smaller than 20$%$.

19 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented the role of data mining algorithms to find the tumor features underneath the skin based on the surface temperature variations obtained from a 3-D model of human skin.

19 citations

Journal ArticleDOI
TL;DR: In this paper, a simple and selective chemosensor, A, was developed for recognizing Cu2+ and the emission spectra of receptor A showed a fluorescence quenching response upon addition of Cu2+, with a low detection limit of 4.51

19 citations

Journal ArticleDOI
TL;DR: The rigorous test cases reveal that the proposed phasor measurement unit has a good adaptability to grid frequency drifts, a good harmonic and dc-offset rejection capability, and a very good steady state as well as dynamic response.
Abstract: This article proposes a novel technique for fundamental and selective harmonic phasor estimation of a single-phase voltage signal based on open-loop voltage signal processing approach, under adverse distorted conditions. At heart, a modified fast discrete Stockwell transform (FDST) is used for the phasor estimation. The performance of the FDST is improved by incorporating a new frequency-dependent Gaussian window for capturing the time-localized variations of individual frequency component. The modified window has four parameters, which are selected based on the statistical properties of the given input voltage signal. Furthermore, under off-nominal frequency conditions the spectral leakage problem, faced by the S-transform, is avoided by proposing a modified sample value adjustment based preprocessing stage. Various static and dynamic tests were considered according to the IEEE Standard 1159, IEEE Standard C37.118.1a-2014, and EN-50160 standards under harmonics and interharmonics scenarios. The performance of the proposed method is validated using synthetic voltage signals, simulated voltage signals on 6-bus microgrid model developed in power system computer aided design (PSCAD), and hardware implementation on dSPACE 1103. The rigorous test cases reveal that the proposed phasor measurement unit has a good adaptability to grid frequency drifts, a good harmonic and dc-offset rejection capability, and a very good steady state as well as dynamic response.

19 citations

Journal ArticleDOI
TL;DR: A benzimidazole-based Co3+ complex was synthesized and evaluated as a sensor for I− and HSO 4 in aqueous media as mentioned in this paper, and the complex showed electrochemical changes with I− over other anions.

19 citations


Authors

Showing all 1056 results

NameH-indexPapersCitations
Rajesh Kumar1494439140830
Rajeev Ahuja85107232325
Surya Prakash Singh5573612989
Christopher C. Berndt542579941
S. Sitharama Iyengar5377613751
Sarit K. Das5227317410
R.P. Chhabra502888299
Narinder Singh454529028
Rajendra Srivastava441927153
Shirish H. Sonawane442245544
Dharmendra Tripathi371884298
Partha Pratim Roy364045505
Harpreet Singh352384090
Namita Singh342194217
Javed N. Agrewala321123073
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
202292
2021541
2020468
2019402
2018355