5 results match your criteria: "National Institute of Technology Tiruchirapalli[Affiliation]"

The present research explores the application of optimization tools namely Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) in the decolorization of Reactive Yellow 81 (RY81) from an aqueous solution. The characterization of the biochar was carried out using FTIR, elemental analysis, proximate analysis, BET analysis and Thermogravimetric analysis. Five independent variables namely solution pH, biochar dose, contact time, initial dye concentration and temperature were analyzed using RSM, ANN and ANFIS models.

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A novel nonlinear sliding mode controller for a single stage grid-connected photovoltaic system.

ISA Trans

December 2020

Control System Research Laboratory, Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirapalli, Tamilnadu, India. Electronic address:

A nonlinear sliding mode controller is proposed for a single stage grid-connected photovoltaic system with a novel nonlinear sliding surface. The proposed controller is designed to ensure maximum power extraction with unity power factor. There are two main advantages of the proposed sliding surface.

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The robust nature of a biocompatible fluorescent probe is demonstrated, by its detection of Fe even after repeated rounds of quenching (reversibility) by acetate in real human blood samples and cells . Significantly trace levels of Fe ions up to 8.2 nM could be detected, remaining unaffected by the existence of various other metal ions.

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Sulfonimidamides (SIAs) are acting both as surrogate amines and nucleophiles depending on the reaction conditions to access propargylamines and N-propargyl SIAs, respectively. The amine part of SIAs has been cleaved in an InCl -catalyzed three-component A coupling reaction with aldehyde and acetylene to yield propargylamine. Moreover, N-propargyl SIAs were obtained via the direct-imination of propargyl alcohols in the presence of BF ⋅OEt .

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Optimization of methylene blue using Ca(2+) and Zn(2+) bio-polymer hydrogel beads: A comparative study.

Ecotoxicol Environ Saf

November 2015

Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia. Electronic address:

Recently noted that the methylene blue cause severe central nervous system toxicity. It is essential to optimize the methylene blue from aqueous environment. In this study, a comparison of an optimization of methylene blue was investigated by using modified Ca(2+) and Zn(2+) bio-polymer hydrogel beads.

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