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Institution

Indian Institute of Technology Kharagpur

EducationKharagpur, India
About: Indian Institute of Technology Kharagpur is a education organization based out in Kharagpur, India. It is known for research contribution in the topics: Natural rubber & Dielectric. The organization has 16887 authors who have published 38658 publications receiving 714526 citations.


Papers
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Journal ArticleDOI
01 May 2002-Carbon
TL;DR: In this article, the electrical conductivity of carbon black and short carbon fibre (SCF)-filled composites was measured under different conditions, such as mixing time, rotor speed, mixing temperature, vulcanization time and pressure and service conditions like applied pressure and temperature.

141 citations

Journal ArticleDOI
TL;DR: This paper investigated causal relationships between information and communications technologies (ICT) infrastructure, financial development, and economic growth in Asian countries over the twelve-year period 2001-2012 using panel cointegration techniques.

141 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the effects of temperature and duration of pyrolysis on the yield and properties of the rice straw biochar and their optimization for application in soil based on the results of seed germination test.

141 citations

Journal ArticleDOI
TL;DR: In this paper, the effects of liquid nitrogen cooling on growth and nature tool wear were investigated for turning Ti-6Al-4V alloy bars with micro-crystalline uncoated carbide inserts under dry, wet and cryogenic cooling environments in the cutting velocity range of 70-100m/min.

141 citations

Journal ArticleDOI
TL;DR: The CS scheme has been implemented using Matlab, and results have been compared with other soft computing-based optimization approaches like genetic algorithm (GA) and particle swarm optimization found in the literature and found to outperform the results of existing heuristic algorithms such as GA for the given problem.
Abstract: In the present work, a cuckoo search (CS)-based approach has been developed for scheduling optimization of a flexible manufacturing system by minimizing the penalty cost due to delay in manufacturing and maximizing the machine utilization time. To demonstrate the application of cuckoo search (CS)-based scheme to find the optimum job, the proposed scheme has been applied with slight modification in its Levy flight operator because of the discrete nature of the solution on a standard FMS scheduling problem containing 43 jobs and 16 machines taken from literature. The CS scheme has been implemented using Matlab, and results have been compared with other soft computing-based optimization approaches like genetic algorithm (GA) and particle swarm optimization found in the literature. The results shown by CS-based approach have been found to outperform the results of existing heuristic algorithms such as GA for the given problem.

141 citations


Authors

Showing all 17290 results

NameH-indexPapersCitations
Rajdeep Mohan Chatterjee11099051407
Vijay P. Singh106169955831
Arun Majumdar10245952464
Sanjay Gupta9990235039
Biswajeet Pradhan9873532900
Sandeep Kumar94156338652
Jürgen Eckert92136842119
Praveen Kumar88133935718
Tuan Vo-Dinh8669824690
Lawrence Carin8494931928
Anindya Dutta8224833619
Aniruddha B. Pandit8042722552
Krishnendu Chakrabarty7999627583
Ramesh Jain7855637037
Thomas Thundat7862222684
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023284
2022849
20213,142
20202,907
20192,779
20182,489