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.

Problems associated with active and reactive power measurement using a state-of-the-art technique and its remedy

Abstract: This paper describes a sample shifting technique for active and reactive power measurement The associated problems in the process of power measurement using this technique have been discussed here In order to keep the measurement error at minimum level due to the variation of supply frequency, a PLL based data acquisition system is proposed The problems of utilizing PLL and ADC in data acquisition system are also highlighted The mitigation techniques of these problems are incorporated in this measurement process Matlab based simulation justifies the proposed technique

A Comparative Study on Slope Stability Analysis by Different Approaches

Abstract: Slope stability analysis is of particular significance to geotechnical engineers for construction of railway embankments, canal, road embankments, earth dams, etc. Slope failures can have devastating social and commercial impacts. To assess the safe design of slopes, factor of safety values acts significant roles. Factor of safety values is used to define how close or far slopes are from failure either occurring naturally or induced by manmade activities. Traditional limit-equilibrium method is the most common technique for analysis of slope. In recent times, finite element method (FEM), a powerful, viable alternative technique is available to the geotechnical engineers. In the present investigation, an attempt has been made to study the analysis of slope based on the numerical simulation using Geo-studio software. The parameters of soil strata constituting the slope are determined from laboratory results. The main objective of the present study is to indicate the correlation between factors of safety of embankment using different approaches, e.g., analytical approach and analysis as per “Guidelines for Earthwork in Indian Railway Projects” with finite element modeling. Finally, the paper presents the correlation between the slope angle and factor of safety for cohesive and cohesionless soil.

Quantum Random Number Generators for Cryptography: Design and Evaluation

Abstract: In this article, quantum circuit-based secure communication architecture has been envisioned. Herein, all the proposed circuits and architecture are verified by IBM Qiskit and established on the quantum nanostructure. The salient goal of this hardware-based cryptographic structure in the quantum domain is to attain a diversified invulnerable quantum communication arrangement through a commendable post-CMOS technology. This architecture consists of a novel quantum random number generator (QRNG) and swap gate-based quantum shuffler. In our intended framework for cryptographically secured communication model as well as its implementation through a novel quantum encryption–decryption prototype by the random bits extracted from quantum Hadamard gates, rotation gate is (Rz) postulated on QRNG.

Temperature induced mean based cloud motion prediction model from satellite infrared images

Abstract: Detection and identification of convective clouds can be done from thermal infrared (TIR) images (10.5–12.5µm) as clouds are associated with extremely low temperature. Clouds can be tracked from a given sequence of satellite images, and becomes useful for weather now-casting. There are several models available for cloud motion prediction. Adjusted Mean Based Prediction (AMBP) Model is one of them. A modified model of AMBP, based on temperature, for cloud movement tracking has been proposed and presented in this paper for better prediction.

Spectrum hole detection in TV band using ANN model for opportunistic radio communication

Abstract: Here we propose an artificial neural network (ANN) model for spectrum sensing in TV band specifically for identifying presence of audio signals. The ANN model is trained with parameters which are a combination of cyclostationary and SNR based features like channel capacity, bandwidth efficiency, autocorrelation. The ANN model is trained based on a new decision making factor termed as utilization factor based on the above combination of attributes which lead to a method for detection of spectrum holes. This unique combination of hypotheses tries to remove the disadvantages of energy detection and cyclostationary feature detection technique, which is helpful for opportunistic cognitive radio applications.