Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

Artificial bee colony based perceptually tuned blind color image watermarking in hybrid LWT-DCT domain

Abstract: A perceptually tuned blind digital watermarking method for color images in a hybrid lifting wavelet transform (LWT) and discrete cosine transform (DCT) domain is proposed in this work. The color watermark is scrambled by arnold transform before embedding to enhance the security level. The color host image is firstly transformed by lifting wavelet transform and the approximate sub-band is partitioned into different blocks each of size 8 x 8. The pixel values of each block are quantized using a quantization table. Each quantized-block is further decomposed by the DCT, to generate the AC coefficient matrix. Scrambled watermark is thereafter inserted into the AC coefficient matrix using the perceptually tuned dynamic embedding strength factor. The visual quality and robustness of the proposed watermarking are balanced by optimizing the value of perceptually tuned strength factor by the Artificial bee colony (ABC) optimization algorithm. Experimental results show that the color watermark is undetectable (with CPSNR > 40 dB) into the host image and robust enough (with NC > 0.9) to resist the image processing and manipulation attacks. Comparison analysis with other related watermarking methods highlights the efficacy of the proposed work.

Modified Artificial Bee Colony Algorithm Based on Disruption Operator

Abstract: Artificial bee colony (ABC) algorithm has been proven to be an effective swarm intelligence-based algorithm to solve various numerical optimization problems. To improve the exploration and exploitation capabilities of ABC algorithm a new phase, namely disruption phase is introduced in the basic ABC. In disruption phase, disrupted operator in which the solutions are attracted or disrupted from the best solution based on the their respective distance from the best solution, is applied to all the solutions except the best solution. Further, the proposed strategy has been evaluated on 15 different benchmark functions and compared with basic ABC and two of its variants, namely modified ABC (MABC) and best so for ABC (BSFABC).

A Review on Scale Factor Strategies in Differential Evolution Algorithm

Abstract: Differential evolution (DE) algorithm is a well-known and straightforward population-based optimization approach to deal with nonlinear and composite problems. The scale factor (F) and crossover rate (CR) are two control parameters which play a crucial role to keep up the proper equilibrium between exploration and exploitation processes. The perturbation in the new solutions is controlled by CR, and the step size is managed by F during the solution search process. The step size of an individual is tuned to explore or exploit the search region of the solving problem. Large step size is used to explore while small step size is used to exploit the search region. Therefore, a fine-tuned step size can avoid the situation of skipping the true optima while maintaining the proper convergence speed. Researchers are working hard to adjust the step size as per the search progress. Therefore, this paper presents descriptive details of DE and a review on the various scale factor strategies in DE with their comparative impact on the solution search process.

Performance Investigation of Mott-Insulator LaVO 3 as a Photovoltaic Absorber Material

Abstract: Mott insulators have recently been identified as potential solar energy conversion material due to their favorable parameters. In this paper, we have investigated the cell performance by exploring the photovoltaic properties of Mott Insulator LaVO3 (LVO). The LVO thin films were grown by the sol–gel technique followed by a sintering pathway under various processing conditions. We investigated the influence of processing parameters on the structural, optical and electrical properties of the films through different characterization techniques. A correlation between the material parameters with the device performance has been established to ensure LVO perovskite for photovoltaic applications. This analysis will aid researchers to realize Mott insulators as light absorber material.

Speed control of DC servo motor using genetic algorithm

Abstract: In this article, the speed and position control of a DC servo motor using a new approach known as Genetic Algorithm (GA) tuned PID controller The parameters of PID controller are optimized by using Genetic Algorithm (GA) The Simulink model of a DC servo motor (DCSM) is reflected as a third order system This article contains two types of control strategies such as GA tuned PID controller and ZN tuned PID controller The prototype of DC servo motor is simulated in MATLAB/SIMULINK platform DC servo motor's performance with proposed GA-PID and ZN-PID is equated with the performances of the PID controller in literature The proposed GA tuned PID controller give better results as compared to the proposed ZN-PID and PID controller in literature The main motive of this article is to controlling the speed and position of DC servo motor using soft computing techniques and the result of proposed technique gives better results as fewer number of iterations The proposed GA tuned PID provides improved performance as compared to PID controller in literature in terms of time specification such as settling time and rise time