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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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Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors present the importance of preprocessing and feature engineering for sentiment analysis on a resource constrained data-set of Manipuri comments gathered from social media platform using these approaches.
Abstract: Sentiment analysis is a novel approach towards analyzing the sentiment of a given text or document. In particular, the sentiment analysis of short texts such as single sentences and social media tweets and comments are one of the main challenges of natural language processing (NLP) given the limited contextual information they usually convey. In recent years, deep learning application has shown promising result in natural language processing. This paper presents the comparative analysis of various deep learning, traditional machine learning and lexicon based methodologies of sentiment analysis. We present the importance of pre-processing and feature engineering for sentiment analysis on a resource constrained data-set of Manipuri comments gathered from social media platform using these approaches.

5 citations

Proceedings ArticleDOI
12 Jun 2015
TL;DR: This paper presents the development of an open loop model of a Permanent Magnet Synchronous Motor drive fed from a 3 phase bridge inverter and operating under self-control mode with the rotor position information.
Abstract: This paper presents the development of an open loop model of a Permanent Magnet Synchronous Motor (PMSM) drive fed from a 3 phase bridge inverter and operating under self-control mode with the rotor position information. Permanent Magnet Synchronous Motors (PMSM) are widely used in AC servo drives because of its high torque to inertia ratio, high power density, high efficiency and power factor as compared to other conventional drive motors. The different performance indices of the system like speed, electromagnetic torque, phase voltage, phase current, rotor position etc. have been executed in MATLAB environment.

5 citations

Proceedings ArticleDOI
01 Aug 2019
TL;DR: The modified synchronous reference frame theory (MSRF) and fuzzy tuned proportional integral (FPI) controller are used for the proposed system to obtain a better performance and a detailed circuit performance analysis has been done.
Abstract: Active power filter has drawn the maximum attraction among the researchers in the perspective of power quality improvement. However a conventional APF suffers from shoot through phenomena when the switches from the same leg are activated which results deterioration in harmonic compensation ability thereby leading in to system failure. Considering the aforementioned concerns, the proposed work is to develop a three phase interleaved buck converter based APF (InB APF) for solar photovoltaic application. The InB APF has the inherent ability of eradicating shoot through phenomena and is best suitable for the distribution sector where step down of voltage with high current having less ripple is the exigency. The modified synchronous reference frame theory (MSRF) and fuzzy tuned proportional integral (FPI) controller are used for the proposed system to obtain a better performance. A detailed circuit performance analysis has been done and to validate the theoretical analysis, simulation results are obtained in MATLAB/SIMULINK environment.

5 citations

Proceedings ArticleDOI
01 Jan 2018
TL;DR: An adaptive power management algorithm is developed to maintain the microgrid variables of the WESS system within the boundaries to avoid the stress and losses associated with the conventional converters.
Abstract: The diminution of fossil fuels in future generations to come imposes the use of non-conventional energy sources in the power sector. To avoid the stress and losses associated with the conventional converters, it is replaced by high-gain high-efficient converters in the selected wind energy storage systems (WESS). Also, an adaptive power management algorithm is developed to maintain the microgrid variables of the WESS system within the boundaries. The real-time checking of the proposed adaptive power management control algorithm will be done with the help of Virtex-7 FPGA kit and co-simulated using Xilinx system generator.

5 citations

Proceedings ArticleDOI
01 Jun 2018
TL;DR: Critical investigations reveal that SPC based HVDC links in presence of FAR improves exceptionally damp the oscillations in the frequency and tie power response of the grid.
Abstract: The modern power system is advancing towards inverter-dominated system from synchronous dominated power system. Such transition could diminish the rotational inertia of power system and inevitably jeopardize the frequency stability. Several adaptations are required to make to supply short term inertial support in such low inertia grid. In this paper, synchronous power controller (SPC) strategy is applied in HVDC converter for inertia emulation. It is a phase-locked loop less concept for grid synchronization. Besides, present work also focused on designing a new strategy considering the advantages of communication and fast responding reserves such as battery storage and demand response collectively termed as fast acting reserve (FAR). FAR unit reacts to any power imbalance measured by the monitoring system. Critical investigations reveal that SPC based HVDC links in presence of FAR improves exceptionally damp the oscillations in the frequency and tie power response of the grid.

5 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