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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: Control theory & Electric power system. 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: In this article, the nano-particulate ZnO with 0.5 and 1.5% ruthenium were prepared through a chemical route and structural characterization of the samples performed with XRD established that all the nanoparticles are of zinc oxide having polycrystalline nature.
Abstract: Doped and undoped specimens of nano-particulate ZnO with 0.5 wt% and 1 wt% ruthenium were prepared through a chemical route. Structural characterization of the samples performed with XRD established that all the nanoparticles are of zinc oxide having polycrystalline nature. Morphological studies were conducted using FESEM to confirm the grain size and texture. Electrical measurements showed that the ac conductivity increases with frequency but decreases with increasing ruthenium concentration, making it a potential option for device applications. It is found that the absorbance does not significantly change with doping. The above fact is further confirmed from the bandgap calculations using the reflectance graphs. A decrease of bandgap from 3.42 to 3.19 eV with increasing Ru concentration is observed making it an important and advantageous material for potential visible light photocatalytic applications involving metal oxide nanostructures.

26 citations

Proceedings ArticleDOI
01 Nov 2012
TL;DR: The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number (TRIFN), and the value and ambiguity index of TRIFNs have been defined.
Abstract: Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number(TRIFN). To serve the purpose, the value and ambiguity index of TRIFNs have been defined. In order to rank TRIFNs, we have defined a ranking function by taking sum of value and ambiguity index. To illustrate the the proposed ranking method a numerical example has been given.

26 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented the preparation of SnO 2 nanoparticles successfully by simple chemical precipitation method employing amino acid, l -lysine monohydrate, and showed an invincible photocatalytic property in the degradation of malachite green oxalate dye and Victoria blue dye.
Abstract: Herein, we present the preparation of SnO 2 nanoparticles successfully by simple chemical precipitation method employing amino acid, l -lysine monohydrate. The prepared nanoparticles were characterized in detail using different technique, such as X-ray diffraction (XRD), transmission electron microscopy (TEM), selected area electron diffraction (SAED) and Fourier transformed infrared spectroscopy (FT-IR) for morphological and structural analysis. The optical properties were studied using UV–vis spectroscopy. The characterization results revealed that the synthesized SnO 2 nanoparticles possess tetragonal rutile crystalline structure. The size of the SnO 2 nanoparticles was found to be increased (∼4–17 nm) with increase in annealing temperature. The band gap energy was found to be increased from 3.8 eV to 4.1 eV with increase in size of the SnO 2 nanoparticles. The synthesised SnO 2 nanoparticles showed an invincible photocatalytic property in the degradation of malachite green oxalate dye and Victoria blue dye from aqueous phase under direct sunlight within 120 min. Both the dyes followed pseudo first order reaction and the rate of the constant (k) of photodegradation of malachite green oxalate dye and Victoria blue was found to be 1.6 × 10 −2 min −1 and 1.06 × 10 −2 min −1 , respectively. The SnO 2 nanoparticles was also found to have outstanding catalytic activity for the reduction of 4-nitrophenol into 4-aminophenol in aqueous medium. The complete reduction took place within 27 min. The kinetic of the reduction was found to be pseudo first order with a rate constant (k) 9.3 × 10 −4 s −1 .

26 citations

Journal ArticleDOI
TL;DR: The computational efficiency achieved through the proposed ML based framework without compromising quality of the analysis is demonstrated, followed by data-intensive correlation analysis, sensitivity and uncertainty quantification considering various levels of the influencing system parameters, revealing detailed computational insights on mechanical properties of graphene.

26 citations


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