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Institution

Motilal Nehru National Institute of Technology Allahabad

EducationAllahabad, Uttar Pradesh, India
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.


Papers
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Journal ArticleDOI
TL;DR: The results of this study validate the feasibility of the proposed control, as well as the capability of the MAS for the operation of LFC in SG with changes in CT through a multi-agent system (MAS) technology.
Abstract: This paper presents an intelligent controller for “load frequency control (LFC)” application in “smart grid (SG)”environment having changes in communication topology (CT) via a multi-agent system (MAS) technology. In this study, network-induced effects, time delay, and change in CT have been addressed to examine the system performance in a closed loop. An event-triggered control method is used to reduce the communication burden in a network. An intelligent controller based on reinforcement learning consists of two levels, estimator agent and controller agent, in each multi-area system. Particle swarm optimization is used to tune the controller parameters. Furthermore, the proposed control strategy and system architecture as MAS for LFC in SG are analyzed in detail, verified for various load conditions and different network configurations. In addition, mean-square error of the power system states with CT is also analyzed. The results of this study validate the feasibility of the proposed control, as well as the capability of the MAS for the operation of LFC in SG with changes in CT.

106 citations

Journal ArticleDOI
TL;DR: In this article, a residential building of usable floor area about 85.5 m2 located at Hyderabad (Andhra Pradesh), India is evaluated under different envelopes and climates in Indian context.

105 citations

Journal ArticleDOI
TL;DR: In this article, a genetic algorithm based multi-objective optimization for the laser cutting of a Titanium alloy sheet (grade 5) was proposed to simultaneously optimize the kerf taper and surface roughness.
Abstract: Titanium and its alloys have high demand in different industries due to their superior properties The conventional cutting methods face difficulties for cutting these alloys due to their poor thermal conductivity, low elastic modulus and high chemical affinity at elevated temperatures Laser cutting may be used for quality cuts by proper control of different process parameters The aim of present research is to simultaneously optimize kerf taper and surface roughness in the laser cutting of Titanium alloy sheet (grade 5) The developed regression models for kerf taper and surface roughness have been taken as objective functions for the genetic algorithm based multi-objective optimization The paper presents optimal solutions and improvements in different quality characteristics thereof The significant control factors have been found with further discussion of their effect on two important quality characteristics kerf taper and surface roughness

105 citations

Journal ArticleDOI
TL;DR: A numerical technique based on polynomial differential quadrature method (PDQM) to find the numerical solutions of two dimensional hyperbolic telegraph equation with Dirichlet and Neumann boundary condition is proposed.

104 citations

Journal ArticleDOI
TL;DR: The experimental results demonstrate that this algorithm provides better robustness without affecting the quality of watermarked image, and combines the advantages and removes the disadvantages of the two transform techniques.
Abstract: In this paper, the effects of different error correction codes on the robustness and imperceptibility of discrete wavelet transform and singular value decomposition based dual watermarking scheme is investigated. Text and image watermarks are embedded into cover radiological image for their potential application in secure and compact medical data transmission. Four different error correcting codes such as Hamming, the Bose, Ray-Chaudhuri, Hocquenghem (BCH), the Reed---Solomon and hybrid error correcting (BCH and repetition code) codes are considered for encoding of text watermark in order to achieve additional robustness for sensitive text data such as patient identification code. Performance of the proposed algorithm is evaluated against number of signal processing attacks by varying the strength of watermarking and covers image modalities. The experimental results demonstrate that this algorithm provides better robustness without affecting the quality of watermarked image.This algorithm combines the advantages and removes the disadvantages of the two transform techniques. Out of the three error correcting codes tested, it has been found that Reed---Solomon shows the best performance. Further, a hybrid model of two of the error correcting codes (BCH and repetition code) is concatenated and implemented. It is found that the hybrid code achieves better results in terms of robustness. This paper provides a detailed analysis of the obtained experimental results.

103 citations


Authors

Showing all 2547 results

NameH-indexPapersCitations
Santosh Kumar80119629391
Anoop Misra7038517301
Naresh Kumar66110620786
Munindar P. Singh6258020279
Arvind Agarwal5832512365
Mahendra Kumar542169170
Jay Singh513018655
Lalit Kumar4738111014
O.N. Srivastava4754810308
Avinash C. Pandey453017576
Sunil Gupta435188827
Rakesh Mishra415457385
Durgesh Kumar Tripathi371335937
Vandana Singh351904347
Prashant K. Sharma341743662
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202342
202284
2021728
2020587
2019532
2018423