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.

Measurement of power flow variations in Gaussian plane using phasor measuring unit

Abstract: In order to avoid large scale failure, it is necessary to monitor the widespread and complex performance of interconnected power grid system in real time. In case of bulk power system, the operation of Protective Relays and the Circuit Breakers are fast enough for secured performance but tracking of the system parameters during an event is beyond the scope of such devices. So, real time tracking before an event and quick analysis for potential failure of the system at the time of disturbances is quite difficult. Modernization of technology provides us with instruments to sample the continuous-time analog signal into discrete-time digital signal with the help of a device called Phasor Measuring Unit (PMU). As a result, it is also possible to estimate the dynamic phasor of the system and to determine the frequency and the Rate of Change of Frequency (ROCOF) of the system within a specific frequency zone. The purpose of this paper is to present a mechanism for continuous observation of the interconnected power system within a specific frequency zone and detection of its nature with improved accuracy using Phasor Measuring Unit (PMU). Having the Rate of Change of Frequency as the prime detector of disturbances at the interconnected grid system in Gaussian plane, this should facilitate the continuous observation and a system protection scheme which is more efficient. This should minimize the sudden damages of the system equipments due to abnormal behavior of the bulk interconnected electrical power system.

Utilization of LTEx Feynman Gate in Designing the QCA Based Reversible Binary to Gray and Gray to Binary Code Converters

Abstract: The Quantum-dot Cellular Automata explores a unique perspective in the arena of the architectural design of future quantum computers, precisely due to its ultra-low packing density, high operating speed, and low power dissipation. On the other side, reversible computing allows the implementation of extreme low power-consuming circuits by avoiding energy dissipation during the time of computation. In this paper, we have explored the QCA design of reversible binary to gray and gray to binary code converters based on the application of a unique model of Feynman gate using the layered T exclusive-OR module (abbreviated in this work as LTEx Feynman gate). We have proposed algorithms to produce multi-control reversible binary to gray and gray to binary code converters and to develop cost-efficient QCA layouts. Our systematic literature survey on the existing QCA designs of reversible binary to gray and gray to binary code converters helped us to compare and analyze the proposed design with the existing ones and identify it as the best design in terms of reversible, and QCA design metrics. Significant improvements in design metrics owing to successful experimentations over the previous designs are reported while instantiating 3X3,4X4, and 8X8 counterpart layouts.

A Comparative Study of Z- Transform and Fourier Transform applied on Medical Images for Detection of Cancer Segments

Abstract: A preliminary investigation is carried out by applying Z-transform technique on different types of images with sole intention to record the z-score of any binary image. Bandwidth of the images are computed, and compared with that obtained from Fourier technique. Length of z-score matrix is graphically represented. Result is also analyzed for smooth, shiny and rough images. This preliminary investigation will help in sending multimedia content, precisely images through network and in signal processing which helps for the segments of cancerous portion.

A new technique for the classification of pre-meditative and meditative states

Abstract: The classification of HRV signal through the geometry of Poincare′ plot and its quantification is one of the popular techniques in nonlinear analysis. The quantification is generally done by fitting an ‘ellipse’ on the constructed Poincare plot of HRV signal. However, most of the meditative and pre-meditative states cannot be distinguished from Poincare′ plot. In this paper we introduce a new notion called modified angle map by which it is possible to classify the meditative and pre-meditative states significantly.

Mathematical Modeling to Optimize the Product in Enzyme Kinetics

Abstract: Optimization of product in enzyme kinetics is successful by the showers of mathematical analysis with control measures. Enzymes are an important functional aspects of all biochemical processes, as they catalyze numerous reaction taking place within living organisms. With this view, optimization and quantification of product is stressed upon and in such a context, optimal control approaches have been applied in our study. In this article, we have formulated a mathematical model of enzymatic system dynamics with control measures with a view to optimize the product as well as process conditions. Here, Pontryagin Minimum Principle is used for determination of optimal control with the help of Hamiltonian. We discuss the relevant numerical solutions for the concentration of substrate, enzyme, complex and product with respect to a specified time interval by varying control factors.