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Institution

National Institute of Technology, Arunachal Pradesh

EducationItanagar, India
About: National Institute of Technology, Arunachal Pradesh is a education organization based out in Itanagar, India. It is known for research contribution in the topics: Support vector machine & Logic gate. The organization has 264 authors who have published 395 publications receiving 1672 citations. The organization is also known as: NIT Arunachal Pradesh.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: Various design and development approaches for the quadrupedal robot, and environment perception techniques are discussed, and Spot is one of the most advanced and intelligent quadru pedal robots.

96 citations

Journal ArticleDOI
TL;DR: Experimental results indicate the potential of the WCRVFL model for COVID-19 spread forecasting, and the prediction performance of the proposed model is compared with the state-of-the-art support vector regression (SVR) model and the conventional RVFL model.

94 citations

Journal ArticleDOI
TL;DR: Using new approach, the robot can successfully avoid obstacle and reach the target with shorter time than conventional PSO and the objective function is optimized with of APSO for solving the path planning process of robot.

74 citations

Journal ArticleDOI
TL;DR: The surface activity of these molecules depends on both the hydrocarbon chain length and the nature of head group(s) as discussed by the authors, and it is observed that amphiphiles with fluorocarbon chain is more hydrophobic than those with a shorter hydrocarbon tail.

70 citations

Journal ArticleDOI
TL;DR: This paper introduces the concept of blockchain sharding for reducing the load on the main blockchain and increasing the transaction throughput and has two key contributions: blockchain to maintain and update reliable and consistent trust values across the network and incentive scheme to encourage peers to perform well.
Abstract: In the Internet of Vehicles (IoV), vehicles communicate wirelessly with other vehicles, sensors, pedestrians, and roadside units. IoV is aimed at improving road safety, driving comfort, and traffic efficiency. However, IoV is exposed to a range of threats to security and privacy. The presence of dishonest and misbehaving peers in the system is of a major concern, which may put lives in danger. Thus, establishing trust among these probable untrusted vehicles is one of the most significant challenges of such a network. The critical pitfalls of existing and traditional mechanisms are scalability, a single point of failure, maintaining the quality of service, verification, and revocation and dealing with sparsity, consistency, availability, efficiency, robustness, privacy concerns are some of the biggest challenges to be addressed. Blockchain technology, with its great success in applications like cryptocurrencies and smart contracts, is considered as one of the potential candidates to build trust in IoV. In this paper, we propose a blockchain-based decentralized trust management scheme using smart contracts. Specifically, we introduce the concept of blockchain sharding for reducing the load on the main blockchain and increasing the transaction throughput. Our proposal has two key contributions: blockchain to maintain and update reliable and consistent trust values across the network and incentive scheme to encourage peers to perform well. We also conduct extensive experiments, which demonstrate the implementation feasibility of proposed mechanisms in the real world.

65 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202213
202191
202080
201937
201838