Institution
Rajasthan Technical University
Education•Kota, 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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01 Oct 2019TL;DR: The simulation of the Switch reluctancemotor with asymmetrical bridge converter considerably increases the efficiency of the proposed system and uses a hysteresis current control system that controls the phase excitation by controlling the switching of the converter switches.
Abstract: This paper describes the solar photovoltaic array fed to switch reluctance motor drive. The simulation of the Switch reluctancemotor with asymmetrical bridge converter considerably increases the efficiency of the proposed system. The controlling of the drive in this system is obtained by using a hysteresis current control system that controls the phase excitation by controlling the switching of the converter switches. The simulation of the system with switched reluctance motor is carried out using Matlab/Simulink.
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TL;DR: There are numerous procedures utilized as a part of separating content, for example, data Extraction, data recovery, common dialect preparing (NLP), inquiry handling, order and grouping.
Abstract: Information mining is the way toward separating prescient data escaped the database and changing it into The structure justifiable for sometime later. The different areas in information mining are Web Mining, Text Mining, Sequence Mining, Mining Graph, Time Data Extraction, Spatial Data Extraction (MDS), Distributed Data Extraction (DDM), and Multimedia Mining. A portion of the uses of information mining, it is utilized for examination of money related information, retail and Telecommunications, science and building, and interruption recognition and counteractive action. In this article, we About Techniques Discussed content mining and its applications. Content mining is utilized to separate intriguing data Or learning or example from unstructured writings from various sources are that. It changes over words and expressions Unstructured data in numerical esteems which might be connected to organized data in the database and With the old information mining strategies investigated. There are numerous procedures utilized as a part of separating content, for example, data Extraction, data recovery, common dialect preparing (NLP), inquiry handling, order and grouping.
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30 Oct 2017TL;DR: A modified SF in which the Gaussian distribution function and a flexible parameter (N) are introduced in mutation process of DE is introduced, showing that GSFDE is a competent in the field of optimization.
Abstract: Differential Evolution (DE) is a easy and basic populace based probabilistic approach for global optimization. It has reportedly outperformed very well as compared to different nature inspired algorithms like Genetic algorithm (GA), Particle swarm optimization (PSO) when tested over both benchmark and real world problems. In DE algorithm there are crossover rate (CR), and scale factor (SF) are two control parameters, which play a crucial role to retain the proper equilibrium betwixt intensification and diversification abilities. But, DE, like other probabilistic optimization approaches, sometimes behave prematurely in convergence. Therefore, to retain the proper equilibrium betwixt exploitation and exploration capabilities, we introduce a modified SF in which the Gaussian distribution function and a flexible parameter (N) are introduced in mutation process of DE. The significant advantage of Gaussian distribution is full scale searching. The resulting algorithm is named as Gaussian scale factor based differential evolution GSFDE algorithm. To prove the efficiency and efficacy of GSFDE, it is tested over 20 benchmark optimization problems and the results are compared with the basic DE and advanced variants of DE namely, Gbest-guided differential evolution (Gbest DE), L‘evy Flight based Local Search in Differential Evolution (LFDE) and some swarm intelligence based algorithms like Modified artificial bee colony algorithm (MABC), Best-so-far ABC (BSFABC), Particle swarm optimization (PSO), and spider monkey optimization (SMO). The obtained results depict that GSFDE is a competent in the field of optimization.
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30 Sep 2022TL;DR: In this paper , the relative study of thermal buckling of Nickel and FG rectangular plate is investigated, and the characteristics of the FG plate are considered to be graded according to a power-law distribution in the thickness direction.
Abstract: Functionally graded materials (FGM) provide a number of advantages, particularly in temperature settings, and have been used in a variety of technical applications in recent years. An inhomogeneous composite is made up a FGM plate of two parts (typically ceramic and metal), the composition and material qualities of which vary smoothly across the plate’s thickness. In the current work, Relative Study of Thermal buckling of Nickel and FG rectangular plate is investigated. As far as the volume fractions for metal and ceramic parts, characteristics of material of the FG plate are considered to be graded according to a power-law distribution in the thickness direction. The finding analyses for clamped rectangular plates of a thermal buckling are presented. When comparing the Nickel plate to the FGM plate, there is a lot of agreement. The FEA software tool COMSOL Multiphysics was used for the entire work.
Authors
Showing all 739 results
Name | H-index | Papers | Citations |
---|---|---|---|
Dinesh Kumar | 69 | 1333 | 24342 |
Seema Agarwal | 52 | 309 | 12325 |
Vikas Bansal | 43 | 184 | 23455 |
Rajeev Gupta | 33 | 231 | 3704 |
Harish Sharma | 24 | 139 | 1963 |
Basant Agarwal | 21 | 66 | 1386 |
Ajay Verma | 20 | 189 | 1554 |
Sunil Dutt Purohit | 20 | 94 | 1228 |
Durga Prasad Mohapatra | 18 | 186 | 1293 |
Prashant K. Jamwal | 17 | 62 | 1267 |
Dhanesh Kumar Sambariya | 16 | 49 | 693 |
Girish Parmar | 14 | 82 | 665 |
Vikas Bansal | 13 | 17 | 1015 |
Sandeep Kumar Parashar | 13 | 22 | 339 |
Mithilesh Kumar | 12 | 103 | 734 |