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Narula Institute of Technology

About: Narula Institute of Technology is a based out in . It is known for research contribution in the topics: Quantum dot cellular automaton & Cognitive radio. The organization has 288 authors who have published 490 publications receiving 2258 citations. The organization is also known as: NiT.


Papers
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Book ChapterDOI
01 Jan 2022
TL;DR: In this article, an attempt has been made for quantum-dot cellular automata (QCA) based design of TRNG (True Random Number Generator) to support the implementation of developed nano communication protocol targeting more secured operation over automated teller machine (ATM).
Abstract: In this paper, an attempt has been made for quantum-dot cellular automata (QCA) based design of TRNG (True Random Number Generator) to support the implementation of developed nano communication protocol targeting more secured operation over automated teller machine (ATM). TRNG is an ingenious design can generate non-deterministic and distinctive stream digital bit, and a major aspirant for any secured cryptography process. Here, the mode of design is using QCA technology due to its advantageous aspects of consuming low-design area and ultra-low power during high-frequency operations. Overall the functional verification of our proposed setup is carried out using QCA Designer 2.0.3 where from its efficacy is rightly depicted.

1 citations

Proceedings ArticleDOI
01 Nov 2012
TL;DR: A channel assignment algorithm based on non deterministic Q learning technique based on ageing technique, starvation of low priority users is removed from the algorithm and simulation result shows that the proposedChannel assignment algorithm is effective.
Abstract: Cognitive radio technology has been emerged to provide the solution of improvement of spectrum utilization. In this paper we try to solve the problem of allocation of channels to the secondary users using non deterministic Q learning technique. Using Q learning technique, we try to provide prior knowledge to the secondary users about the channel usage pattern of licensed users so that a secondary user can efficiently select channels in a multi cell cognitive radio network. Firstly, a channel assignment algorithm based on non deterministic Q learning technique has been proposed in this paper. Using ageing technique, starvation of low priority users is removed from the algorithm. Simulation result shows that the proposed channel assignment algorithm is effective.

1 citations

Journal ArticleDOI
TL;DR: In this article, the authors performed an observational data analysis on the energy momentum squared gravity model and obtained possible solutions for matter density from the model and their cosmological implications are studied.
Abstract: In this work we perform an observational data analysis on the energy momentum squared gravity model. Possible solutions for matter density are obtained from the model and their cosmological implications are studied. Some recent observational data is used to constrain model parameters using statistical techniques. We have used the cosmic chronometer and SNe Type-Ia Riess (292) $H(z)-z$ data-sets in our study. Along with the data-sets we have also used baryon acoustic oscillation (BAO) peak parameter and cosmic microwave background (CMB) peak parameter to obtain bounds on the model parameters. Joint analysis of the data with the above mentioned parameters have been performed to obtain better results. For the statistical analysis we have used the minimization technique of the $\chi^{2}$ statistic. Using this tool we have constrained the free parameters of the model. Confidence contours have been generated for the predicted values of the free parameters at the $66\%$, $90\%$ and $99\%$ confidence levels. Finally we have compared our analysis with the union2 data sample presented by Amanullah et al.,2010 and the recently published Pantheon data sample. Finally a multi-component model is investigated by adding dust to a general cosmological fluid with equation of state $w=-1/3$. The density parameters were studied and their values were found to comply with the observational results.

1 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed to implement the time zone divisions each comprising of an integral number of contiguous states based on their total peak demand and geographical location, which can be significantly cut down by spreading the peak demand of various states over time.
Abstract: For a large country like India, the electrical power demand is also large and the infrastructure cost for power is the largest among all the core sectors of economy. India has an emerging economy which requires high rate of growth of infrastructure in the power generation, transmission and distribution. The current peak demand in the country is approximately 1,50,000 MW which shall have a planned growth of at least 50 % over the next five years (Seventeenth Electric Power Survey of India, Central Electricity Authority, Government of India, March 2007). By implementing the time zone divisions each comprising of an integral number of contiguous states based on their total peak demand and geographical location, the total peak demand of the nation can be significantly cut down by spreading the peak demand of various states over time. The projected reduction in capital expenditure over a plan period of 5 years is substantial. Also, the estimated reduction in operations expenditure cannot be ignored.

1 citations

Journal ArticleDOI
31 Jul 2020
TL;DR: In this paper, the authors investigated the impact of various wideband dielectrics with nanoparticle size for enhancement of extinction in terms of absorption and scattering by using surface Plasmon resonance.
Abstract: In this article, photonic extinction performance of Metal Dielectric Semiconductor (MDS) nanostructure has been improved by noble metallic nanosphere such as gold, silver and copper into various wideband dielectrics like silicon di-oxide, aluminum oxide and silicon nitride. Presently, Plasmonics gives very much interest and closely involves in the main domains of nanophotonics that can control of optical fields at the nanoscale level as well as it can concentrate and enhance the electromagnetic field on the nanometer scale especially in metal dielectric semiconductor (MDS) nanostructure. In plasmonics, noble metals used as nanoparticle where density of electron gas which oscillates at surface Plasmon frequency so we investigate impact of various wideband dielectrics with nanoparticle size for enhancement of extinction in terms of absorption and scattering by using surface Plasmon resonance. At Plasmonic resonance the efficiency will be maximum. If the size of the metallic nanosphere increases, initially the efficiency increases up to a certain wavelength then it becomes sharply decreased.

1 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202233
202142
202076
201939
201828
201736