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Institution

Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors investigated the gravitational lensing phenomenon in the strong field regime for a regular, charged, static, non-linear black hole having a electrodynamics source.
Abstract: In this paper we have investigated the gravitational lensing phenomenon in the strong field regime for a regular, charged, static, non-linear black hole having a electrodynamics source We have obtained the angle of deflection and compared it to a Schwarzschild black hole and Reissner Nordstrom black hole with similar properties We have also done a graphical study of the relativistic image positions and magnifications We hope that this method may be useful in the detection of non-luminous bodies like this current black hole

5 citations

Journal ArticleDOI
TL;DR: In this article, the behavior of an elastic unsymmetrical, orthotropic sandwich shell of double curvature with orthotropic core having different elastic characteristics under uniform heating is derived, where a restriction that the radii of curvature of the shell elements be large compared with the overall thickness of the sandwich shell is imposed.

5 citations

Journal ArticleDOI
TL;DR: A new monomeric copper(II) benzhydrazone complex, [Cu(L)(H2O)(NO3)] (1), has been synthesized using Schiff base derived from quinoline-2-carboxaldehyde and benzhydraide as discussed by the authors.
Abstract: A new monomeric copper(II) benzhydrazone complex, [Cu(L)(H2O)(NO3)] (1), has been synthesized using Schiff base derived from quinoline-2-carboxaldehyde and benzhydrazide. Complex 1 was characterize...

5 citations

Journal ArticleDOI
TL;DR: In this article, the authors have attempted to analyze a vapor compression refrigeration system with a dedicated subcooler for high-temperature lift applications using R134a in the main cycle and four low global warming potential (GWP) refrigerants in the sub-cooler cycle.
Abstract: A single-stage vapor compression refrigeration system becomes inefficient and impractical when the temperature lift between the evaporator and the condenser becomes large. Under the high-temperature lift, different losses in the system increase, and more refrigerant vapor is formed at the end of the throttling process. The authors have attempted to analyze a vapor compression refrigeration system with a dedicated subcooler for high-temperature lift applications using R134a in the main cycle and four low global warming potential (GWP) refrigerants in the subcooler cycle. The modeling of the proposed system has been carried out in Engineering Equation Solver (EES) considering the energy, exergy, and economic aspects for the simulation of the system. The predicted results show that the use of the proposed system is more beneficial from both performance and economic point of view for high-temperature lift. Nearly 27% improvement in both energetic and exergetic performances are noted whereas cost is reduced by 2% when the proposed system is used instead of a typical refrigeration system. Finally, the present investigation concludes that the use of refrigerant R1234ze is much efficient than the other investigated refrigerants due to its low GWP and compressor discharge temperature, in spite of achieving better thermo-economic performances using R152a as subcooler refrigerant.

5 citations

Journal ArticleDOI
TL;DR: A quasi-clique and quasi-biclique algorithm is proposed to classify infection gateway proteins of the human body and possible pathways of DENV leading to various diseases, including cancer, asthma, ulcerative colitis, multiple sclerosis, premature birth, and so on.
Abstract: Dengue virus (DENV) is one of the deadly arboviruses, which is primarily transmitted by Aedes aegypti, and causes dengue infection to the humans. According to WHO, every year around 390 million humans are affected by DENV, of which around 50 million deaths are reported. Knowledge of the various diseases caused by the DENV would greatly encourage to understand the infection mechanism and help to design new antiviral drug discovery. We propose a quasi-clique and quasi-biclique algorithm to classify infection gateway proteins of the human body and possible pathways of DENV leading to various diseases. For this, we have examined three networks, dengue-human protein-protein interaction network, human protein interaction network, and human proteins-disease association network. The prediction result states that DENV may lead to various diseases in the human body, including cancer, asthma, ulcerative colitis, multiple sclerosis, premature birth, and so on. Some of the results have recently been validated experimentally. This study may endow with potential targets for more effective anti-dengue remedial contribution.

5 citations


Authors

Showing all 581 results

NameH-indexPapersCitations
Debnath Bhattacharyya395786867
Samiran Mitra381985108
Dipankar Chakravorty353695288
S. Saha Ray342173888
Tai-hoon Kim335264974
Anindya Sen291093472
Ujjal Debnath293353828
Anirban Mukhopadhyay291693200
Avijit Ghosh281212639
Mrinal K. Ghosh26642243
Biswanath Bhunia23751466
Jayati Datta23551520
Nabarun Bhattacharyya231361960
Pinaki Bhattacharya191141193
Dwaipayan Sen18711086
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20227
2021110
202087
201992
201883
2017103