Motilal Nehru National Institute of Technology Allahabad

About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.

Some more solutions of Kadomtsev–Petviashvili equation

Abstract: The aim of this paper is to obtain the exact solutions with the help of similarity transformations method for Kadomtsev–Petviashvili (KP) equation in (2+1)-dimension. As a consequence of the first reduction of the KP equation through similarity transformations method, it has been transformed into the Boussinesq equation. Repeated use of the method leads to an ordinary differential equation (ODE). Solutions of such ODEs and hence solutions of KP equation contain arbitrary function and constants. Appropriate choices of the function and constants explore the doubly solitons, multisolitons, parabolic and travelling wave nature to validate our solutions physically.

A self recoverable dual watermarking scheme for copyright protection and integrity verification

Abstract: Dual watermarking implies embedding of robust as well as fragile watermarks into the same cover image. It facilitates integration of copyright protection and integrity verification into the same scheme. However, most of such existing state of art approaches either lacked the feature of tamper detection and original content recovery or provided an approximation using coarser block level approach. The proposed self recoverable dual watermarking scheme integrates all the aforementioned functionalities of copyright protection, tamper detection and recovery into one scheme. The scheme is independent of the order of embedding of robust and fragile watermarks as these are embedded in different regions of the cover image. It performs tamper detection and recovery, both at the pixel level. The scheme obtains recovery information for each 2×2 image block in just eight bits which are further encoded to only four bits via mapping table. This reduction in recovery bits allows efficient embedding of copyright information which is tested against comprehensive set of attacks. The scheme is found to be robust against noises, filtering, histogram equalization, rotation, jpeg compression, motion blur etc. Besides the normalized cross correlation value, the evaluation of the extracted copyright information is also being done using various objective error metrics based on mutual relation between pixels, their values and locations respectively. The imperceptibility and visual quality of the watermarked as well as recovered image is found to be satisfactorily high. Three major categories of images: natural, texture as well as satellite have been tested in the proposed scheme. Even minute alterations can be chalked out as the detection accuracy rate has been enumerated on pixel basis. The scheme can tolerate tampering ratios upto 50 percent though the visual quality of the recovered image deteriorates with increasing tampering ratio. Comparative results based on normalized cross correlation, probability of false acceptance, probability of false rejection and peak signal to noise ratio metrics validate the efficacy of the proposed scheme over other existing state of art approaches.

Power Quality Improvement in Grid-connected Photovoltaic–Fuel Cell Based Hybrid System Using Robust Maximum Power Point Tracking Controller

Abstract: This article addresses power quality improvement in a 3-Φ grid-connected photovoltaic–fuel cell based hybrid system using hybrid filter topology. In the context of the extraction of maximum power due to the uncertainty of solar insolation and temperature in the hybrid system, backstepping control is addressed for the DC-DC boost converter. A space vector pulse-width modulation control technique is implemented for the voltage source inverter for the grid integration objective. Compensation of the distorted waveform at the point of common coupling is accomplished by a suitable controller design using the hybrid filter. The series of simulation results in MATLAB environment (The MathWorks, Natick, Massachusetts, USA) followed by prototype experimental validation reflects the superiority of the proposed controllers to achieve power quality improvements.

An approach for solving fully fuzzy multi-objective linear fractional optimization problems

Abstract: This article presents an algorithm for solving fully fuzzy multi-objective linear fractional (FFMOLF) optimization problem. Some computational algorithms have been developed for the solution of fully fuzzy single-objective linear fractional optimization problems. Veeramani and Sumathi (Appl Math Model 40:6148–6164, 2016) pointed out that no algorithm is available for solving a single-objective fully fuzzy optimization problem. Das et al. (RAIRO-Oper Res 51:285–297, 2017) proposed a method for solving single-objective linear fractional programming problem using multi-objective programming. Moreover, it is the fact that no method/algorithm is available for solving a FFMOLF optimization problem. In this article, a fully fuzzy MOLF optimization problem is considered, where all the coefficients and variables are assumed to be the triangular fuzzy numbers (TFNs). So, we are proposing an algorithm for solving FFMOLF optimization problem with the help of the ranking function and the weighted approach. To validate the proposed fuzzy intelligent algorithm, three existing classical numerical problems are converted into FFMOLF optimization problem using approximate TFNs. Then, the proposed algorithm is applied in an asymmetric way. Since there is no algorithm available in the existing literature for solving this difficult problem, we compare the obtained efficient solutions with corresponding existing methods for deterministic problems.