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.

Hybrid-Quantum approach for the optimal lockdown to stop the SARS-CoV-2 community spread subject to maximizing nation economy globally

Abstract: Owing to the SARS-CoV-2 epidemic (severe acute respiratory coronavirus 2 syndromes), the global situation has changed drastically. Several countries, including India, Europe, U.S.A., introduced a full state/nation lockdown to minimize the disease transmission through human interaction after the virus entered the population and to minimize the loss of human life. Millions of people have gone unemployed due to lockdown implementation, resulting in business and industry closure and leading to a national economic slowdown. Therefore, preventing the spread of the COVID-19 virus in the world while also preserving the global economy is an essential problem requiring an effective and immediate solution. Using the compartmental epidemiology S, E, I, R or D (Susceptible, Exposed, Infectious, Recovery or Death) model extended to multiple population regions we predict the evolution of the SARS-CoV-2 disease and construct an optimally scheduled lockdown calendar to execute lockdown over phases, using the well-known Knapsack problem. A comparative analysis of both classical and quantum models shows that our model decreases SARS-CoV-2 active cases while retaining the average global economic factor, GDP, in contrast to the scenario with no lockdown.

Study of Micro-Strip Patch Antenna for Applications in Contact-less Door Bell Looking at the COVID-19 Pandemic Situation

Abstract: As the technology advances, the modern trend of lifestyle also advances. The doorbell has an important responsibility in home safety; it is one of the competent and steady systems needs to be developed for better safety which could be access at a low cost. In this era, there are many doorbells systems doing different operation. This paper focuses on touchless type automatic doorbell systems which will ring the bell automatically when a visitor approaches near the door. This system is intended to people, and due to the spread of COVID-19 pandemic situation, it would be one of the safety steps that can be taken against corona. People are now more careful about their everyday work and their family. In the year 2020, the whole world is trapped in unprecedented COVID-19 pandemic. The situation takes away all our normal lifestyle, and all the researches are going on in controlling the situation and finding a new way of life. In this work, the author is trying to establish a contactless door alarm for the household application. Motivation behind the work is that due to the Corona virus spread around the world, we have to take utmost care in every step of our life. If we use the normal door alarm, then there will be the issue of contact for every people who will arrive in. But if there will be a replacement of the conventional door alarm with the help of antenna technology, then it can solve the issue with a contactless alarm. In this paper, the author have used the HFSS software for the proposed antenna.

Broadband Rectangular Microstrip Patch Antennas for K and EHF Bands

Abstract: In spite of many advantages of patch antenna, narrow bandwidth is one of the major drawbacks. In this paper it is demonstrated that significant bandwidth enhancement of a rectangular patch antenna can be achieved by simple modification of the rectangular patch. Two modified structures are presented here; both of them are capable of giving wider bandwidth and higher gain than conventional rectangular patch antennas. The antennas are simulated using High Frequency Structure Simulator (HFSS v12) for different feed positions and for two different substrate materials. A comparative study of these structures is made from simulation results. Proposed antenna structures can be operated in K bands and EHF region, whose frequency range is very important in microwave communication systems including radar application.

Algorithms for Sample and Waste-Aware Multiple Concentration Dilution Preparation with Digital Microfluidic Biochips

Abstract: A new algorithm for sample and waste-aware multiple concentration dilution (SWMD) preparation with a digital microfluidic biochip or lab-on-chip is reported in this paper. Samples and reagents used in many biochemical protocols are often found to be expensive, and hence, their usage should be reduced as much as possible. The proposed method utilizes waste recycling, which leads to minimization of sample as well as waste droplets while generating different series of multi-gradient target concentration factors (CFs). The algorithm is compared with recent dilution techniques such as MTC, REMIA, and WARA. Simulation results show that, on the average, the proposed method SWMD provides 36.58% reduction in sample droplets and 62.22% reduction in waste droplets when compared to MTC and other algorithms. However, an O(n) on-chip storage space is needed to store intermediate droplets generated during the process.

Optimization of average packet drop time in CRN using DE algorithm

Abstract: In this paper, we analyze the average drop time of packets in a distributed cognitive radio network using differential evolution (DE) algorithm. For sharing sensing information, SUs access common control channel using carrier sense multiple access with collision avoidance protocol. Packet drop time is calculated using markov model analysis of the behavior of a SU. The packet drop time is then optimized using DE algorithm and is compared with GA. Both algorithms work well. It is found that GA gives better results than DE although DE converges earlier than GA.