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Institution

Rajasthan Technical University

EducationKota, Rajasthan, India
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.


Papers
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Book ChapterDOI
01 Jan 2019
TL;DR: A variant of DE, inspired by the black-hole (BH) phenomenon in space and named as Black-Hole Gbest DE algorithm (BhGDE), which improves the exploration capability, while maintaining the original exploitation capability of the DE algorithm.
Abstract: The differential evaluation (DE) algorithm is a population-based very well-known meta-heuristic, proposed to fix the complex real-world optimization problems. This paper presents a variant of DE, inspired by the black-hole (BH) phenomenon in space and named as Black-Hole Gbest DE algorithm (BHGDE). In BHGDE, the realization of Black-Hole improves the exploration capability, while maintaining the original exploitation capability of the DE algorithm. The efficiency, reliability, accuracy, and robustness of the anticipated BHGDE algorithm are analyzed while simulating it over 15 complex benchmark functions of different modality and characteristics. The competitiveness of the newly anticipated BHGDE algorithm is proved by comparing the simulated results with the DE and its two recent variants, namely Opposition-based Differential Evolution (ODE) and Hybrid Artificial Bee Colony algorithm with Differential Evolution (HABCDE) algorithms. To check the robustness of the propounded BHGDE, it is implemented to solve the problem of path planning of the robots starting from the source node to the destination node.

14 citations

Proceedings ArticleDOI
01 Jul 2017
TL;DR: A combined image watermarking algorithm based on Integer Wavelet Transform (IWT) and Singular Value Decomposition (SVD) has been developed here and another aim of this paper is to compare the performance of IWT-SVD algorithm at different scaling factors with DWT- SVD technique.
Abstract: In this era of internet, protection of digital images has become an important concern. Digital image watermarking is a scheme that has been developed to protect confidential digital images from illegal copy and manipulations. There are various methods of watermarking but to achieve good imperceptibility and robustness, a combined image watermarking algorithm based on Integer Wavelet Transform (IWT) and Singular Value Decomposition (SVD) has been developed here. Another aim of this paper is to compare the performance of IWT-SVD algorithm at different scaling factors with DWT-SVD technique. The experimental results have been shared for both the techniques and different evaluation parameters such as; Peak Signal to Noise Ratio (PSNR) and Normalized Cross Correlation (NCC) have been calculated & compared in tabular forms.

14 citations

Journal ArticleDOI
TL;DR: In this paper, a mathematical model relating to incomplete H-function is presented to deal with the impact on raise of environmental pollution and occurrence in biological populations, and the results proven in this paper are common in mathematical sciences and show various cases of interest on relevant conditions of parameters involved therein.
Abstract: The article deals with the study on impact on raise of environmental pollution and occurrence in biological populations by presenting a mathematical model relating to incomplete H-function. The results proven in this paper are common in mathematical sciences and show various cases of interest on relevant conditions of parameters involved therein.

14 citations

Journal ArticleDOI
TL;DR: This study presents a new approach for system simplification and control based on the behaviour of growth and reproduction of weed plants namely Invasive Weed Optimization (IWO), which reveals that the results of this proposed approach are commensurable with other available approaches.
Abstract: This study presents a new approach for system simplification and control. This approach is based on the behaviour of growth and reproduction of weed plants namely Invasive Weed Optimization (IWO). The micro system/simplified model of large scale single-input single-output (SISO) continuous time system is attained by optimizing a predefined objective/fitness function by weed optimization algorithm. Performance of the proposed approach is analysed in terms of transient and frequency response parameters such as rise time, peak time, maximum overshoot, gain margin and phase margin, etc. This analysis reveals that the results of this proposed approach are commensurable with other available approaches. Additionally, the application of proposed approach is explored in control of a micro system based on system simplification. The control action is obtained by achieving the unknown parameters of the proportional integral derivative (PID) controller using IWO. Further, the concept of error minimization is being utilised to obtain parameters of PID controller. The simulation results reveal that the PID controller designed by proposed approach has no affect on change of the system. The PID controller for a micro system (second order) exhibits satisfactory performance on the first order simplified system, therefore changing the system does not affect the performance of PID controller. As the proposed approach is being utilised for both micro system’s simplification as well as in controller design, therefore it may be applied in various applications of Microsystems’s analysis and design.

14 citations


Authors

Showing all 739 results

NameH-indexPapersCitations
Dinesh Kumar69133324342
Seema Agarwal5230912325
Vikas Bansal4318423455
Rajeev Gupta332313704
Harish Sharma241391963
Basant Agarwal21661386
Ajay Verma201891554
Sunil Dutt Purohit20941228
Durga Prasad Mohapatra181861293
Prashant K. Jamwal17621267
Dhanesh Kumar Sambariya1649693
Girish Parmar1482665
Vikas Bansal13171015
Sandeep Kumar Parashar1322339
Mithilesh Kumar12103734
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202235
2021178
2020147
2019172
2018129