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Institution

Tripura Institute of Technology

About: Tripura Institute of Technology is a based out in . It is known for research contribution in the topics: Electric power system & Renewable energy. The organization has 63 authors who have published 92 publications receiving 510 citations.


Papers
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Journal ArticleDOI
TL;DR: Self-organizing feature map in conjunction with radial basis function has been applied in this paper to determine and classify the voltage stability states of a multi-bus power network and can be considered an effective soft-computing tool to ease the operation of large-multi bus power network under variable operating conditions.

25 citations

Book ChapterDOI
01 Jan 2020
TL;DR: In this article, the authors present an in-depth discussion on different aspects of ubiquitous manufacturing, including production planning and scheduling, automated material handling system, and dynamic manufacturing from the perspective of real-life scenarios.
Abstract: The industrial revolution has changed the socio-economic civilisation of mankind. It started dating back in the late 1700s and has been in continuous evolution since then. Presently, we are experiencing the latest industrial revolution, known as Industry 4.0. Among others, ubiquitous technologies probably have been the most influential in the implementation of Industry 4.0. This has led to a new manufacturing paradigm known as ubiquitous manufacturing. This chapter presents an in-depth discussion on different aspects of ubiquitous manufacturing. In addition to the history of industrial revolutions and the fundamentals of ubiquitous manufacturing, the topics such as production planning and scheduling, automated material handling system, and dynamic manufacturing are meticulously discussed from the perspective of the real-life scenarios, in the age of ubiquitous manufacturing. The ubiquitous technologies that have enabled ubiquitous manufacturing are reviewed in detail. Several other related and advanced manufacturing technologies such as cloud manufacturing, cloud robotics, global manufacturing, lean manufacturing, agile manufacturing, additive manufacturing, chaordic manufacturing, etc. are duly accentuated. A futuristic view on Industry 5.0 is also presented.

20 citations

Journal ArticleDOI
TL;DR: The present problem explored the solutal transport for an unsteady blood flow through a microvessel with wall absorption and observed that the mean concentration boosts by the yield stress, nanoparticle volume fraction, and absorption parameters.
Abstract: Solutal dispersion phenomena are associated with the nanoparticle-based drug delivery in the cardiovascular system to cure cardiovascular disorder. In the present problem, we explored the solutal transport for an unsteady blood flow through a microvessel with wall absorption. The rheology of blood is characterized by a two-fluid model similar to three-layer flow, namely, the core region, the intermediate region, and the peripheral region. The nature of the blood is considered as Casson fluid near the axis of the microvessel and Newtonian fluid close to the wall of the microvessel (at the intermediate and peripheral region). The peripheral region and the wall of the microvessel are permeable, and the permeability of the microvessel wall is defined by the Darcy–Brinkman model. The permeability of the inner surface of the microvessel is subjected to a slip condition at the surface. The stress-jump condition acts at the interface of the intermediate and peripheral region. The impact of the absorption parameter, velocity slip, yield stress, stress jump constant, nanoparticle volume fraction, and permeability on the velocity, exchange coefficient, convection coefficient, dispersion coefficient, and mean concentration is shown. It observed that the mean concentration boosts by the yield stress, nanoparticle volume fraction, and absorption parameters. The stress jump constant and permeability boost the convection coefficient, while the dispersion coefficient is restricted by the yield stress and absorption parameter.

17 citations

Journal ArticleDOI
TL;DR: In this paper, the structure of low-spin manganese(II) complexes has been discussed on the basis of data obtained from molar conductance, UV visible, 1 H NMR, infrared spectra, magnetic moment and electron paramagnetic resonance spectroscopic studies.

16 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
202114
202012
201912
201815
20172