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.

Even big data is not enough: need for a novel reference modelling for forensic document authentication

Abstract: With the emergence of big data, deep learning (DL) approaches are becoming quite popular in many branches of science. Forensic science is no longer an exception. However, there are certain problems in forensic science where the solutions would hardly benefit from the recent advances in DL algorithms. Document authentication is one such problem where we can have many reference samples, and with the big data scenario probably we would have even more number of reference samples but number of defective or forged samples will remain an issue. Experts often encounter situations where there is no or hardly a scanty number of forged samples available. In such situation, employment of data-hungry algorithms would be inefficient as they will not be able to learn the forged samples properly. This paper addresses this problem and proposes a novel reference modelling framework for forensic document authentication. The approach is based on Mahalanobis space. Two questioned document examination problems have been studied to show the effectiveness of our reference modelling algorithm which has also been compared to a commonly used learning approach, namely neural network-based classification.

Study on Localized Surface Plasmon to Improve Photonic Extinction in Solar Cell

Abstract: Recently, plasmonic is given very much interest in analysis as a likely to manner to improvement in photonic extinction in solar cell structure. Its main expose is to concentrate and enhance the optical field due to strong interaction in plasmonic nanostructure that manipulates and concentrate photonic propagation at nano-dimension length scales. When light incident on the surface of plasmonic nanostructures it can excite mostly the valence electron gas which oscillates at the plasmonic frequency. In this paper, we have modeled finite-difference time domain based analysis for plasmonic nanostructure for manipulating various plasmonic field components with eigenvalue and characterized optical improvement including photonic absorption and scattering cross sections as well as extinction in plasmonic thin-film solar cell.

Introducing Galois field polynomial addition in quantum-dot cellular automata

Abstract: The quantum-dot cellular automata, which provides a novel nano-computation paradigm, has got wide acceptance owing to its ultra-high operating speed, extremely low power dissipation with a considerable reduction in feature size. The QCA architectures are emerging as a potential alternative to the conventional complementary metal oxide semiconductor technology. This work mitigates the gap between QCA and coding theory, particularly finite field addition through a redesign-able, reproducible and scalable modular based approach. Primarily, a module to perform modulo-2 addition, namely M2A module is introduced. The notion of M2A module further results in a novel algorithm that generates an approach of QCA design of Galois field (GF)-based polynomial adders. The cost functions are calculated to estimate the operation of M2A-based polynomial adders, the proposed adders are compared with the conventional counterpart, and the best one is reported. The defect- and fault-tolerant behavior of GF(28) polynomial adder is also examined as a particular instance.

Dynamical system analysis of modified chaplygin gas in Einstein-Aether gravity

Abstract: In this work we investigate the background dynamics when dark energy is coupled to dark matter with a suitable interaction in the universe described by the Einstein-Aether gravity. Dark energy in the form of modified Chaplygin gas is considered. A suitable interaction between dark energy and dark matter is considered in order to at least alleviate (if not solve) the cosmic coincidence problem. The dynamical system of equations is solved numerically and a stable scaling solution is obtained. A significant attempt towards the solution of the cosmic coincidence problem is taken. The statefinder parameters are also calculated to classify the dark energy models. Graphs and phase diagrams are drawn to study the variations of these parameters. It is also seen that the background dynamics of the modified Chaplygin gas in the Einstein-Aether gravity is completely consistent with the notion of an accelerated expansion in the late universe. Finally, it has been shown that the universe follows the power law form of expansion around the critical point.

Comparative study of Au and Ag nanoparticle to improved in absorption in plasmonic solar cell

Abstract: From last decade, plasmonics gives very much attention and closely relates to the nanophotonic domains that can control of optical fields at the nano dimension level. Its most exciting property is to concentrate the electromagnetic field and also improves field components at nanometer scale, especially in solar cell. In plasmonic region, Noble metals like Au and Ag are best choice as nanoparticle where the density of electron gas that oscillates at Plasmon frequency and also improves absorption by scattering. In this paper, we investigate the effect of nanoparticle size to enhance extinction in terms of absorption and scattering by means of surface Plasmon and also studied finite difference time domain based proposed solar cell model that improves in various simulated surface plasmonic fields components. We also see that both silver and gold nanoparticle significantly improves optical absorption by plasmonic effect.