Institution
National Institute of Technology, Meghalaya
Education•Shillong, 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 & Computer science. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.
Papers
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21 May 2021TL;DR: In this paper, the authors proposed Convolutional Neural Network (CNN) and Open Source Computer Vision (OpenCV) to detect COVID-19 face mask detection from real-time (live streaming video) and image datasets.
Abstract: Object detection and image classifications are the popular research work in the rapid growth of advanced technology to detect and identify real-time problems in the governmental core-areas such as business shops, airlines, universities, and army place with the help of webcams surveillance cameras, and opensource platforms. The objective of this research work is to propose Convolutional Neural Network (CNN) and Open Source Computer Vision (OpenCV) to detect COVID-19 face mask detection from real-time (live streaming video) and image datasets. We have employed data argumentation pre-processing techniques to maximize our dataset and improved the performance of the proposed models, and in addition to this, we have used MobileNet CNN architecture to reducing the size and model complexity. This research work’s experimental result has been shown 96.50%, 97.07%, 99.27% accuracies obtained with the help of CNN, CNNdata augmentation, MobileNet2V, respectively.
4 citations
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01 Jan 2018TL;DR: A new design for carry select adder where the sum is generated and inverted for carry-in 0 and 1 respectively and the final selection of sum is made with the help of multiplexer is presented.
Abstract: Ripple carry adders (RCAs) suffer from large propagation delay due to carry out propagation from one stage to another. Various fast adders like carry select adder, carry look ahead adder, carry skip adder, and carry bypass adder have been proposed in literature. Among these adders, carry select adder has been regarded as the fastest in term of speed. Existing carry select adders suffer from high power consumption, layout area, and propagation delay. This paper presents a new design for carry select adder where the sum is generated and inverted for carry-in 0 and 1 respectively and the final selection of sum is made with the help of multiplexer. The proposed design is extended to build 4-bit, 8-bit, 16-bit and 32-bit carry select adder. The proposed design of 32-bit carry select adder shows an improvement up to 25.11%, 42.04%, and 24.70% in reduction of average power, propagation delay, and gate count respectively as compared to the best existing design of carry select adders available in literature. Simulation and synthesis of all the circuits have been carried out in Cadence Virtuoso Tool using 45 nm technology.
4 citations
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10 Dec 2013
TL;DR: Vedic mathematics, is an ancient methodology, has a unique mathematical computation technique based on 16 sutras (formulae), and high speed reciprocal unit based on such ancient mathematics is reported in this paper.
Abstract: Vedic mathematics, is an ancient methodology, has a unique mathematical computation technique based on 16 sutras (formulae). High speed reciprocal unit based on such ancient mathematics is reported in this paper. Implementation methodology was adopted through sahayaks (auxiliary fraction) taken from such ancient mathematics and prototype was designed for practical signal processing applications. On account of the Vedic formulae, reciprocal approximation of a numbers is generated in fewer steps compared to Newton-Raphson's iteration based implementation with appreciable error in accuracy (~0.09%), offer high speed operation. The functionality of the algorithm was checked, and performance parameters like propagation delay, dynamic switching power consumption were calculated through spice spectre using 90nm CMOS technology. The propagation delay of the resulting 5-digit reciprocal unit was only ~3.57uS and consumes ~30.8mW power. The implementation methodology offered substantial reduction of propagation delay, and dynamic switching power consumption from earlier reported Newton-Raphson (NR) based implementation.
4 citations
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TL;DR: In this paper, the wear and frictional behaviour of glass/epoxy composites filled with agro-based waste materials is discussed and discussed. And three different types of agrobased waste material types are compared.
Abstract: In this paper, the authors present and discuss the wear and frictional behaviour of glass/epoxy composites filled with agro-based waste materials. Three different types of agro-based waste material...
4 citations
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TL;DR: In this article, the critical exponent behavior of LaCr 0.3 Mn 0.7 O 3 compound in the vicinity of ferromagnetic transition was studied by measuring isothermal dc magnetization and by analyzing them in terms of modified Arrott plot method.
4 citations
Authors
Showing all 517 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sudip Misra | 48 | 535 | 9846 |
Robert Wille | 43 | 457 | 6881 |
Paul C. van Oorschot | 41 | 150 | 21478 |
Sourav Das | 30 | 174 | 4026 |
Mukul Pradhan | 23 | 53 | 1990 |
Bibhuti Bhusan Biswal | 20 | 155 | 1413 |
Naba K. Nath | 20 | 39 | 1813 |
Atanu Singha Roy | 19 | 48 | 1071 |
Akhilendra Pratap Singh | 19 | 99 | 1775 |
Abhishek Singh | 19 | 107 | 1354 |
Vinay Kumar | 19 | 130 | 1442 |
Dipankar Das | 19 | 67 | 1904 |
Gayadhar Panda | 18 | 123 | 1093 |
Gitish K. Dutta | 16 | 26 | 1168 |
Kamalika Datta | 15 | 69 | 676 |