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Institution

Indian Institute of Engineering Science and Technology, Shibpur

EducationHowrah, West Bengal, India
About: Indian Institute of Engineering Science and Technology, Shibpur is a education organization based out in Howrah, West Bengal, India. It is known for research contribution in the topics: Dark energy & Thin film. The organization has 2549 authors who have published 7091 publications receiving 76140 citations.


Papers
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Journal ArticleDOI
TL;DR: Graphene, a monolayer of graphite sheet consisting of sp2 hybridized carbon atoms covalently bonded to three other atoms (discovered in 2004), has recently attracted the attention of chemical sensor researchers owing to its unprecedented structural, mechanical and electrical properties.
Abstract: Graphene, a monolayer of graphite sheet consisting of sp2 hybridized carbon atoms covalently bonded to three other atoms (discovered in 2004), has recently attracted the attention of chemical sensor researchers owing to its unprecedented structural, mechanical and electrical properties. Excellent mechanical strength (Young modulus ∼0.05 TPa), potentiality of ultrafast electron transport (highest mobility ∼200,000 cm 2 /V s) along with the best surface to volume ratio has opened up the opportunity to use the material for future gas and vapor sensors with ultra fast speed and long-term durability. Since it is a two dimensional material, every atom of graphene may be considered a surface atom and as a result every atom site may be involved in the gas interactions. This feature of graphene can eventually be responsible for its ultra sensitive sensor response with the lowest detection capability approaching even a single molecule. Further, the ease of functionalization of the material either by chemical means (absorption of many molecules like oxygen or hydrogen) or by application of voltage or pressure, facilitates bandgap-engineering which in turn may lead to a possible solution to the selectivity issues, the perennial problems of chemical sensors. In this review, the latest advancement and new perspectives of graphene based gas and vapor sensors have been discussed critically.

628 citations

Journal ArticleDOI
01 Sep 2011
TL;DR: Support Vector Machine (SVM) is used along with continuous wavelet transform (CWT), an advanced signal-processing tool, to analyze the frame vibrations during start-up to set up a base for condition monitoring technique of induction motor which will be simple, fast and overcome the limitations of traditional data-based models/techniques.
Abstract: Condition monitoring of induction motors is a fast emerging technology in the field of electrical equipment maintenance and has attracted more and more attention worldwide as the number of unexpected failure of a critical system can be avoided. Keeping this in mind a bearing fault detection scheme of three-phase induction motor has been attempted. In the present study, Support Vector Machine (SVM) is used along with continuous wavelet transform (CWT), an advanced signal-processing tool, to analyze the frame vibrations during start-up. CWT has not been widely applied in the field of condition monitoring although much better results can been obtained compared to the widely used DWT based techniques. The encouraging results obtained from the present analysis is hoped to set up a base for condition monitoring technique of induction motor which will be simple, fast and overcome the limitations of traditional data-based models/techniques.

400 citations

Journal ArticleDOI
TL;DR: In this paper, a generalisation of the Banach contraction mapping principle is introduced, and the result extends two existing generalisations of the same principle, and they support their result by an example.
Abstract: Here we introduce a generalisation of the Banach contraction mapping principle. We show that the result extends two existing generalisations of the same principle. We support our result by an example.

373 citations

Journal ArticleDOI
TL;DR: This contribution is significant because it discusses the use of three major bioprinting modalities in vascular tissue biofabrication for the first time in the literature and compares their strengths and limitations in details.

304 citations

Journal ArticleDOI
TL;DR: A mathematical model is formulated introducing a quarantine class and governmental intervention measures to mitigate disease transmission and it is found that reducing the contact of exposed and susceptible humans is the most critical factor in achieving disease control.
Abstract: As there is no vaccination and proper medicine for treatment, the recent pandemic caused by COVID-19 has drawn attention to the strategies of quarantine and other governmental measures, like lockdown, media coverage on social isolation, and improvement of public hygiene, etc to control the disease. The mathematical model can help when these intervention measures are the best strategies for disease control as well as how they might affect the disease dynamics. Motivated by this, in this article, we have formulated a mathematical model introducing a quarantine class and governmental intervention measures to mitigate disease transmission. We study a thorough dynamical behavior of the model in terms of the basic reproduction number. Further, we perform the sensitivity analysis of the essential reproduction number and found that reducing the contact of exposed and susceptible humans is the most critical factor in achieving disease control. To lessen the infected individuals as well as to minimize the cost of implementing government control measures, we formulate an optimal control problem, and optimal control is determined. Finally, we forecast a short-term trend of COVID-19 for the three highly affected states, Maharashtra, Delhi, and Tamil Nadu, in India, and it suggests that the first two states need further monitoring of control measures to reduce the contact of exposed and susceptible humans.

277 citations


Authors

Showing all 2594 results

NameH-indexPapersCitations
Sanjay Gupta9990235039
Amar K. Mohanty8153831856
Manjusri Misra7746328174
Debabrata Mukherjee7051438080
Sudip Ghosh5745111138
Kalyan Kumar Chattopadhyay474349283
Jubin Mitra441225623
Abhishek Dey431965227
Robert Wille434576881
Pralay Maiti422098830
Hirendra N. Ghosh402006632
Biswajit Basu392204988
Arup K. SenGupta391405521
Abhijit Dutta381025046
Kalyan Kumar Ray361844250
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
202283
2021639
2020696
2019665
2018637