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Institution

National Institute of Technology, Silchar

EducationSilchar, Assam, India
About: National Institute of Technology, Silchar is a education organization based out in Silchar, Assam, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1934 authors who have published 4219 publications receiving 41149 citations. The organization is also known as: NIT Silchar.


Papers
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Journal ArticleDOI
TL;DR: A comprehensive review of the research activities in all of the topology optimization procedure for large-scale industrial sized problems, using a variety of techniques, including re-analysis, multi-grid solvers, model reduction, machine learning and high-performance computing, and their combinations is given.
Abstract: Large-scale structural topology optimization has always suffered from prohibitively high computational costs that have till date hindered its widespread use in industrial design. The first and major contributor to this problem is the cost of solving the Finite Element equations during each iteration of the optimization loop. This is compounded by the frequently very fine 3D models needed to accurately simulate mechanical or multi-physical performance. The second issue stems from the requirement to embed the high-fidelity simulation within the iterative design procedure in order to obtain the optimal design. The prohibitive number of calculations needed as a result of both these issues, is often beyond the capacities of existing industrial computers and software. To alleviate these issues, the last decade has opened promising pathways into accelerating the topology optimization procedure for large-scale industrial sized problems, using a variety of techniques, including re-analysis, multi-grid solvers, model reduction, machine learning and high-performance computing, and their combinations. This paper attempts to give a comprehensive review of the research activities in all of these areas, so as to give the engineer both an understanding as well as a critical appreciation for each of these developments.

40 citations

Proceedings ArticleDOI
08 Apr 2014
TL;DR: This paper will give a review of various challenges in this field and measures to overcome such in the security policies of mobile cloud computing.
Abstract: With an explosive growth of the mobile applications and emerging of cloud computing concept, the Mobile Cloud Computing (MCC) has become a potential technology for the mobile service users. MCC integrates the technology of cloud computing with mobile environment and has taken part of major discussion thread in the IT world since 2009. The ABI Research predicts that the number of mobile cloud computing subscribers is expected to grow from 42.8 million (1.1% of total mobile users) in 2008 to 998 million (19% of total mobile users) in 2014. Despite of this hype achieved by mobile cloud computing, the growth of mobile cloud computing subscribers is still below expectations. According to the recent survey conducted by the International Data Corporation, most IT Executives and CEOs are not interested in adopting such services due to the drawbacks associated with this (e.g., battery life, storage, and bandwidth), environment (e.g., heterogeneity, scalability, and availability), and security (e.g., reliability and privacy). In spite of various efforts to overcome these, there are a number of loopholes and challenges that still exist in the security policies of mobile cloud computing. This paper will give a review of various challenges in this field and measures to overcome such.

40 citations

Journal ArticleDOI
TL;DR: A comprehensive survey on the key components of a rectenna system, including antenna configurations, rectifier configurations, impedance matching networks, and RF filter, is outlined.
Abstract: In this paper, a comprehensive survey on the key components of a rectenna system, including antenna configurations, rectifier configurations, impedance matching networks, and RF filter, is outlined...

40 citations

Journal ArticleDOI
TL;DR: The novel method is designed to forecast electric power load demand in three RSEDs called Rongali Bihu, Durga Puja, and Diwali and demonstrates superior accuracy while compared to the traditional method of training the PSLF system on the data of recent holidays.

40 citations


Authors

Showing all 2010 results

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202335
2022149
2021947
2020742
2019596
2018451