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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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Journal ArticleDOI
TL;DR: The proposed COUNTERACT system recognizes infectious sites by retrieving location data from a mobile phone device linked with a particular infected subject by computing an incubation phase for the subject's infection, backpropagation through the subjects’ location data to investigate a location where the subject has been during the incubation period.

38 citations

Journal ArticleDOI
TL;DR: In this paper, a theoretical analysis of the transient rotating electro-osmotic flow of a couple stress fluid in a microchannel, through the Laplace transform technique, is presented, which is dependent on the Debye-Huckel linear approximation for electrical potentials.
Abstract: In this work, we present the theoretical investigation of the transient rotating electro-osmotic flow of a couple stress fluid in a microchannel, through the Laplace transform technique. The analysis is dependent on the Debye–Huckel linear approximation for electrical potentials. The governing equations of the couple stress fluid are taken to address the flow field in a rotating environment. The mathematical formulation of these governing equations provides a system of ordinary differential equations, which are then solved to achieve analytical solutions for electrostatic potential, axial and transverse velocity distribution, and volumetric flow rate. A comparison was made for the present analytical solution with data available in the literature. There was excellent matching. The characteristics of different influential parameters on axial and transverse velocity distributions, volume, and angle flow rates are pictorially deliberated. The study reveals that the rise in the couple stress parameter accelerates the axial electro-osmotic flow velocity inside the electrical double layer.

38 citations

Journal ArticleDOI
TL;DR: In this paper, the authors studied the transient squeezing flow of a radiative magnetohydrodynamics (MHD) Eyring-Powell fluid through an infinite channel, which includes internal heat generation/absorption effects associated with exothermic or endothermic nature of the reaction.

38 citations

Journal ArticleDOI
TL;DR: The author’s introduced an algorithm to estimate a robust phasor corresponding to the fundamental component which is close to the actual signal in ${L_{2}}$ -norm, and the results revealed that the proposed algorithm estimates thephasor accurately irrespective of distortion present in the sinusoidal signals.
Abstract: This paper proposes a phasor estimation algorithm for P-class phasor measurement unit suitable in protection applications using Hilbert transform and convolution of a signal. As the protective relay requires extracted fundamental component of the phasor for its operation, the author’s introduced an algorithm to estimate a robust phasor corresponding to the fundamental component which is close to the actual signal in ${L_{2}}$ -norm. Though IEEE C37.118.1a-2014 standard does not specify the accuracy requirements of phasor under transient condition, the performance of phasor estimator is tested under different dynamic conditions as per IEEE C37.118.1a-2014 standard. The effectiveness of proposed algorithm has also been verified on modified two area power system during fault along with the data generated by the experimental setup in laboratory. The results revealed that the proposed algorithm estimates the phasor accurately irrespective of distortion present in the sinusoidal signals. Furthermore, the proposed estimator inherently filters harmonics, immune to decaying dc components, detects sharp changes in a signal during faults, and effectively works under complex modulated conditions. The above scenario appears frequently in a power system with distributed energy sources. The simplicity, robustness, and generality of the proposed algorithm suits for wide area measurement systems to measure the voltage and current phasors during disturbance in the smart power system networks.

38 citations

Book ChapterDOI
18 Dec 2013
TL;DR: In the present task, an unsupervised classifier for Hindi music mood classification is built using different audio related features like rhythm, timber and intensity.
Abstract: We often choose to listen to a song that suits our mood at that instant because an intimate relationship presents between music and human emotions. Thus, the automatic methods are needed to classify music by moods that have gained a lot of momentum in the recent years. It helps in creating library, searching music and other related application. Several studies on Music Information Retrieval (MIR) have also been carried out in recent decades. In the present task, we have built an unsupervised classifier for Hindi music mood classification using different audio related features like rhythm, timber and intensity. The dataset used in our experiment is manually prepared by five annotators and is composed of 250 Hindi music clips of 30 seconds that consist of five mood clusters. The accuracy achieved for music mood classification on the above data is 48%.

37 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