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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
01 Jan 2020
TL;DR: A novel switched-capacitor level boost (SCB) MLI using reduced number of switches and only two dc sources is presented and the proposed topology works competently under highly inductive loading condition.
Abstract: Power converters such as switched-capacitor (SC), switched diode, and switched dc source multilevel inverters (MLIs) are extensively tested nowadays in photovoltaic (PV) power conversion system, electric vehicles and high-frequency ac power distribution. Among these topologies, SC based structures features boosting ability to enhance the low-input voltage without the need of additional components and auxiliary balancing control circuit. This paper presents a novel switched-capacitor level boost (SCB) MLI using reduced number of switches and only two dc sources. At first, a 17-level structure of the proposed MLI is analyzed in detail and afterward the generalized structure is developed to increase the voltage levels. Two capacitors used in the 17-level structure possess self-balancing ability and the proposed topology works competently under highly inductive loading condition. Performance comparison with prior-art MLI structures manifest merits of the proposed MLI. Various simulation of the 17-level SCB MLI is carried out which is further validated experimentally applying the selective harmonic elimination (SHE) control implemented on a DSP controller.

5 citations

Book ChapterDOI
29 Jun 2017
TL;DR: The objective of the paper is to implement an area efficient hardware for intra prediction in high efficiency video coding (HEVC) decoder for DC, angular and planar modes of all block sizes.
Abstract: The objective of the paper is to implement an area efficient hardware for intra prediction in high efficiency video coding (HEVC) decoder for DC, angular and planar modes of all block sizes. viz., \(64\times 64\), \(32\times 32\), \(16\times 16\), \(8\times 8\) and \(4\times 4\). The proposed hardware is written in Verilog and implemented in field programmable gate array (FPGA) Virtex-7. The clock cycles consumed by the proposed design is the lowest as compared to the existing designs [7] as in the proposed architecture all the three modes ( DC, angular and planar modes) are executed in parallel. The reference pixels are processed and one \(4\,\times \,4\) block is obtained at the output in one clock cycle as the architecture is designed to process 16 pixels (one 4 \(\times \) 4 block) in parallel for all the three modes. Once the prediction for one mode of a block is completed the resources are released and made available to be used by next mode or next block. Thus the resource consumption is less as compared to existing designs where all the modes for each block is executed irrespective of encoder information which results in unnecessary resource usage.

5 citations

Book ChapterDOI
01 Jan 2019
TL;DR: A system model with all the desired features using open-source frameworks and tools like Apache Hadoop and HBase is proposed, which gives no room for scalability neither in computation nor storage, even with costly hardware upgrades.
Abstract: Synchrophasor devices commonly referred to as phasor measurement units (PMUs) have been rapidly deployed in power grids to get a clearer picture of the events that take place in power grid at very high sampling rates. Thus PMUs enable event predictions to become more accurate. However, high data-sampling rate of PMUs creates huge volumes of data on a GB scale per PMU per day, which in turn makes the storage and analysis of the collected data difficult; giving rise to a Big Data problem use case. In India, National Load Dispatch Centre (NLDC) uses Synchrowave; a centralized software package to collect, store and process, which runs on a single very high-end system for storage and processing. But the centralized architecture of current system gives no room for scalability, neither in computation nor storage, even with costly hardware upgrades. This paper proposes a system model with all the desired features using open-source frameworks and tools like Apache Hadoop and HBase.

5 citations

Journal ArticleDOI
TL;DR: In this article, a finite element (FE) study on Lean Duplex Stainless Steel stub column with built-up sections subjected to pure axial compression with column web spacing varied at different position across the column flanges is presented.
Abstract: This paper presents a Finite Element (FE) study on Lean Duplex Stainless Steel stub column with built-up sections subjected to pure axial compression with column web spacing varied at different position across the column flanges. The thicknesses of the steel sections were from 2 to 7 mm to encompass a range of section slenderness. The aim is to study and compare the strength and deformation capacities as well as the failure modes of the built-up stub columns. The FE results have been compared with the un-factored design strengths predicted through EN1993-1-4 (2006) + A1 (2015) and ASCE8-02 standards, Continuous Strength Method (CSM) and Direct Strength Method (DSM). The results showed that the design rules generally under predict the bearing capacities of the specimens. It’s been observed that the CSM method offers improved mean resistance and reduced scatter for both classes of cross-sections (i.e. slender and stocky sections) compared to the EN1993-1-4 (2006) + A1 (2015) and ASCE 8-02 design rules which are known to be conservative for stocky cross-sections.

5 citations

Journal ArticleDOI
TL;DR: Zinc is an essential trace element due to its role as a key part of human enzymatic activity as discussed by the authors , and zinc participates in diverse biological functions including gene transcription, translation, and replication, phagocytosis, and immunoglobulin and cytokine production.
Abstract: Zinc is an essential trace element due to its role as a key part of human enzymatic activity. As a cofactor in metalloenzymes and metalloproteins, zinc participates in diverse biological functions, including gene transcription, translation, and replication, phagocytosis, and immunoglobulin and cytokine production. In this review, we will focus on the role of zinc in the cardiovascular system, including heart failure, vascular calcification, and myocardial infarction. We will further highlight the role of zinc in cardiovascular pathology in individuals with chronic kidney disease, and type II diabetes mellitus, groups uniquely at risk for cardiovascular morbidity and mortality.

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