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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 Article
TL;DR: In this paper, a single-stage grid-connected photovoltaic system (GCPVS) is proposed to regulate active and reactive power flow from inverter by adjustment of amplitude and phase angle of output voltage with respect to grid voltage.

7 citations

Journal ArticleDOI
26 Jan 2021
TL;DR: In this paper, the principles of metal-water batteries have been discussed and the authors propose a new battery design based on these principles, which is called metalwater battens (MWB).
Abstract: Owing to their unique advantages like environmental compatibility, low cost, and high energy density, metal–water batteries are gaining a great deal of attention. The principles of metal–water batt...

7 citations

Journal ArticleDOI
TL;DR: A novel fuzzified mechanical sensorless speed estimation technique is applied over a recently reported semianalytical dynamic time-domain PMDC brushed motor model incorporating space-domain effects, namely slotting effect and commutation phenomenon to simulate the proposed estimation process.
Abstract: This paper proposes a novel fuzzified mechanical sensorless speed estimation technique for permanent magnet direct current (PMDC) brushed motor operated with pulse width modulation (PWM) based terminal voltage. For replacement of conventional mechanical speed sensors, few mechanical sensorless speed estimation techniques have been reported recently in the field of PMDC brushed motor. In this paper, a novel technique is applied over a recently reported semianalytical dynamic time-domain PMDC brushed motor model incorporating space-domain effects, namely slotting effect and commutation phenomenon to simulate the proposed estimation process. Ripple and back electromotive force based standalone estimation approaches are hybridized in order to eliminate uncertainties in all regions of estimation. In this paper, a discrete fuzzified hybrid speed estimation model has been proposed with adequate dynamic simulation responses. Further the proposed discrete speed estimation model has been applied experimentally over a PWM-driven 24-V, 12-teeth, 100-W PMDC brushed motor and various dynamic real-time responses have been compared with conventionally captured speed samples to validate the proposed model.

6 citations

Proceedings ArticleDOI
10 Dec 2020
TL;DR: A straight-forward approach of predicting the HCC liver cancer using publicly available dataset and different types of classification models are used to achieve good results in terms of accuracy and computational time.
Abstract: In this paper, we have discussed regarding the prediction model of Hepatocellular carcinoma (HCC) liver cancer. As it is one of the most common types of liver cancer which takes the lives of thousands of people around the world, we have proposed a straight-forward approach of predicting the HCC liver cancer using publicly available dataset. Different types of data pre-processing are done on the dataset for extracting the most optimal information, and also different types of classification models (Like KNN, Decision Tree, etc.) are used in our experiment to see the prediction results. We achieved good results in terms of accuracy and computational time.

6 citations

Book ChapterDOI
01 Jan 2022
TL;DR: In this article, a three fingers gripper cum cutter has been developed for pineapple harvesting application, and the gripper component has been manufactured through FDM 3D printing and the 3D printed gripper components have been assembled to develop working model.
Abstract: Applications of robot in various fields like industrial automation, mining, space application, medical science, and agriculture application have been increased with recent need and technological development. Recently, various researches reported the development of agricultural robot with suitable gripper for particular applications, like tomato harvesting, strawberry harvesting, apple harvesting, cherry harvesting, eggplant harvesting, cabbage harvesting, cucumber harvesting, and crop cutting. A lot of scope still is there to improve agriculture root. Development of the robot component with 3D printing increased due to first production capability, complex shape can be manufactured very easily. Recently, fused deposition modeling method is widely used for 3D printing to manufacture complicated parts of robot to develop working model. It has been found polylactic acid printing material with controlled printing condition that provides good strength of the printed parts. The Arduino UNO-based controller for actuation of the robotic system has become popular due to low cost, less energy requirement, and its simplicity. The northeastern region of India cultivates a lot of pineapples. Pineapple cultivation increased rapidly last two decades. The regions are mainly covered by hills, so the access of pineapple field by human has difficulty. The pineapple leaves are also very rough, which may cause human injury. Development of the robot for pineapple cropping can improve productivity and human comfort. Special type of gripper design has to be done for pineapple cropping application. In the present study, three fingers gripper cum cutter has been developed for pineapple harvesting application. Model of the gripper has been developed in CREO software based on the dimensional survey of the pineapple. Mechanical analysis of the 3D printed gripper components has been done to obtain final design of the gripper component. The gripper component has been manufactured through FDM 3D printing. Finally, the 3D printed gripper components have been assembled to develop working model. The Arduino UNO and Bluetooth module are integrated with servo motors for controlling the finger components, cutter arm, and cutter rotor.

6 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