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Institution

National Institute of Technology, Meghalaya

EducationShillong, India
About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Electric power system. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Papers published on a yearly basis

Papers
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Proceedings ArticleDOI
08 Jun 2020
TL;DR: This paper proposes a new single-source high-gain SC MLI using a reduced number of switches, which can synthesize 13-levels in the output utilizing two different modules, i.e., a cross-switched unit and a traditional H-bridge.
Abstract: Design of multilevel inverters (MLIs) using switched-capacitor (SC) is emerging due to suitability in renewable power conversion systems, high-frequency power distribution, etc. Using the SC technique, the number of dc sources can be significantly reduced, and required voltage levels can be created by utilizing the capacitor voltage along with the dc source. In addition to the source reduction, switch count reduction than the conventional MLIs while enhancing the boosting ability is another challenging task. Unlike the SC MLIs presented earlier with a low voltage gain, this paper proposes a new single-source high-gain SC MLI using a reduced number of switches. The proposed topology can synthesize 13-levels in the output utilizing two different modules, i.e., a cross-switched unit and a traditional H-bridge. The capacitors are self-regulated using the integral switching pulse logic used for the switches. The capacitors are charged in parallel and discharged in series to create the required voltage steps. A comparison of the SC MLIs is carried out to confirm the novelty of the proposed topology. The fundamental switching modulation scheme is used to generate the required pulses for controlling the switches. Various simulation tests are conducted to validate the working in a transient environment, and the results are further obtained in real-time using a setup developed in the laboratory.

3 citations

Journal ArticleDOI
TL;DR: In this paper, the fluorescence emission behavior of bioactive dietary polyphenols in serum albumin has been explored in order to understand their spectroscopic properties along with their binding characteristics using multi-spectroscopic and molecular docking studies.
Abstract: The fluorescence emission behavior of bioactive dietary polyphenols in serum albumin has been explored in order to understand their spectroscopic properties along with their binding characteristics using multi-spectroscopic and molecular docking studies. The dual emission character of kaempferol (KMP) within the serum albumin environment suggests that it can be used as a multi-wavelength fluorescent probe.

3 citations

Book ChapterDOI
26 Jun 2019
TL;DR: The experimental results show that based on LPMiner technique a number of association rules have been detected which went undetected in case of constant support based apriori and FP-Growth technique.
Abstract: Early detection of adverse drug reactions as a part of post-marketing surveillance is very crucial for saving a number of persons from unwanted consequences of drugs. Along with the drug, patient’s traits such as age, gender, weight, location are key factors for occurrence of adverse effects. The relationship between drug, patient attributes and adverse drug effects can be precisely represented by quantitative multi-dimensional association rules. But discovery of such rules faces the challenge of data sparsity because of the large number of possible side effects of a drug and fewer number of corresponding data records. In this paper, to address the data sparsity issue, we propose to use variable support based LPMiner technique for detecting quantitative multi-dimensional association rules. For experimental analysis, data corresponding to three cardiovascular drugs namely Rivaroxaban, Ranolazine and Alteplase has been taken from U.S. FDA Adverse Event Reporting System database. The experimental results show that based on LPMiner technique a number of association rules have been detected which went undetected in case of constant support based apriori and FP-Growth technique.

3 citations

Journal ArticleDOI
TL;DR: In this article, a finite difference implicit scheme is presented for solution of the shallow water equations in one dimensional (1D) form, which has many advantages like, handling of discontinuous and complex bed topography, satisfying C-property (preservation of motionless water surface over a wet or dry bed) and capability of handling large value of temporal step etc.
Abstract: A finite difference implicit scheme is presented in this paper for solution of the shallow water equations in one dimensional (1D) form. The present model has many advantages like, handling of discontinuous and complex bed topography, satisfying C-property (preservation of motionless water surface over a wet or dry bed) and capability of handling large value of temporal step etc. Another very important feature of the present model is that, no special treatment of the source vector of the governing equations is required here to deal with very less water depth. To investigate the performance of the present model in diverse situations, it is used to replicate four different problems of known analytical solution, and the model is found to be quite capable for varied situations.

3 citations

Journal ArticleDOI
TL;DR: In this article, a vibrational spectroscopy study of a laterally fluorinated terphenyl liquid crystalline (LC) compound is presented, which consists of temperature dependent Raman study and room tester.
Abstract: A vibrational spectroscopy study of a laterally fluorinated terphenyl liquid crystalline (LC) compound is presented in this paper. The study consists of temperature dependent Raman study and room t...

3 citations


Authors

Showing all 517 results

NameH-indexPapersCitations
Sudip Misra485359846
Robert Wille434576881
Paul C. van Oorschot4115021478
Sourav Das301744026
Mukul Pradhan23531990
Bibhuti Bhusan Biswal201551413
Naba K. Nath20391813
Atanu Singha Roy19481071
Akhilendra Pratap Singh19991775
Abhishek Singh191071354
Vinay Kumar191301442
Dipankar Das19671904
Gayadhar Panda181231093
Gitish K. Dutta16261168
Kamalika Datta1569676
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
202236
2021191
2020220
2019184
2018155