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Institution

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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Proceedings ArticleDOI
05 Jun 2020
TL;DR: The number of pins that can accomplish all the desired activities of multiple bioassay operations in synchronization can be minimized and the design can be treated as efficient and cost-effective.
Abstract: Digital Microfluidic Biochips (DMFBs) are becoming more and more capable in areas of biomedical science, biochemistry, and also in microelectronics. It is popularly known as lab-on-a-chip and as the name suggests, laboratory experiments are carried out in it. Multiple assay operations can be performed here effectively and if possible, simultaneously. Thus, in this perspective, parallelism is having tremendous effect in designing biochips, while the dimension of a chip is a limit. In order to enhance the credibility of a chip, one must take care of its throughput, electrode utilization, and pin count as well. If the number of pins that can accomplish all the desired activities of multiple bioassay operations in synchronization can be minimized, the design can be treated as efficient and cost-effective. Earlier work shows that 21 pins are the minimum requirement to achieve the said goal. Whereas, in this article, we have drastically reduced the total number of pins for 15 × 15 arrays. The algorithm developed in this paper requires only 11 pins for the desired tasks. This design is able to avoid the problem of cross contamination, and it has been validated for some considerable real-life assay operations. Thus, in this paper, we are able to show the multiple assay operations in parallel.
Book ChapterDOI
01 Jan 2022
TL;DR: In this paper, a survey of various species and types of COVs and their impact on public health and economics has been discussed, including the overall statistics of the count around the world and an inclusive survey of its impact on society is discussed in this paper.
Abstract: Human history is observing a very strange time fighting an invisible enemy; the novel COVID-19 is the greatest challenge to humankind since the Second World War. The current outbreak of COVID-19 coronavirus infection among humans in Wuhan (China) and its spreading around the globe is heavily impacting global health and mental health. Novel coronavirus (n-CoV) is a generic name given to severe acute respiratory syndrome coronavirus 2(SARs-CoV-2). It has rapidly spread around the world posing enormous mental, social, economic, and environmental challenges to the entire human population. This paper evolved from an overview of the coronavirus and its effect on public health and economics. The main focus of this paper is to survey the various species and types of COVs. The overall statistics of the count around the world and an inclusive survey of its impact on society is being discussed in this paper. In this paper, the linear regression analysis of different vaccines commissioned around the world in COVID-19 and manifold updated information across India has been analyzed in a statistical approach.
Proceedings ArticleDOI
01 Dec 2012
TL;DR: Results show that the performance ASPC is be better than PCA under the different network conditions considered in this paper.
Abstract: In this paper we study the performance of two Power Control algorithms: the Adaptive Standard Power Control (ASPC) and the Standard Power Control (PCA) algorithms. Simulation of both algorithms is being done under three different network conditions including the case with varying SIR target. In order to achieve robust estimates of the performance we have undertaken Monte-Carlo analysis of 500 runs for each case. These results show that the performance ASPC is be better than PCA under the different network conditions considered in this paper. All simulations are done in MATLAB.
Book ChapterDOI
01 Jan 2015
TL;DR: In this article, the authors used the Agilent Advanced Design System (ADS) to simulate the frequency response of Si/SiGe HBT with Mextram model and the results of the simulation were used further to establish the figure of merits for the si/SiG HBT in GHz frequency ranges that can be useful for operations at wireless and satellite communication systems.
Abstract: Figure of merits are key performance indicators of any RF device and can be used to assess the performance of the heterojunction transistors operating at very high frequency range. For HBT, stability and power gain are the key figures of merits to consider. The Agilent Advanced Design System has been used here to simulate the frequency response of Si/SiGe HBT with Mextram model. The results of the simulation are used further to establish the figure of merits for the Si/SiGe HBT in the GHz frequency ranges that can be useful for operations at wireless and satellite communication systems.
Proceedings ArticleDOI
05 Sep 2020
TL;DR: In this article, the authors have focused on N-variable symmetric logic function synthesis in Quantum-dot Cellular Automata with tile nanostructure and applied Coupled Majority-minority voter (CMmV) voter is applied to implement 2-variable and 3-variable logic syntheses in QCA.
Abstract: Tile Nanostructures in Quantum-dot Cellular Automata (QCA) are proved to be a robust and reliable structure to fabricate the logic device. In this scientific attempt, we have focused on N-variable symmetric Logic function synthesis in Quantum-dot Cellular Automata with tile nanostructure. Coupled Majority-minority voter (CMmV) voter is applied to implement 2 –variable and 3 –variable logic syntheses in Quantum-dot Cellular Automata. The N-variable symmetric logic function is applicable to implement any logic circuit. Two and three variables Quantum-dot Cellular Automata symmetric logic functions are synthesized in this article. Hence any digital logic circuit can be implemented with proposed Coupled Majority-minority voter (CMmV).

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