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Institution

Vel Tech Dr.RR & Dr.SR Technical University

EducationChennai, Tamil Nadu, India
About: Vel Tech Dr.RR & Dr.SR Technical University is a education organization based out in Chennai, Tamil Nadu, India. It is known for research contribution in the topics: Computer science & Synchronization (computer science). The organization has 193 authors who have published 221 publications receiving 4853 citations. The organization is also known as: Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology & Vel Tech University.


Papers
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Journal ArticleDOI
TL;DR: A novel three-dimensional autonomous chaotic system with a single cubic nonlinearity is introduced, based on adaptive control theory and Lyapunov stability theory, and a novel electronic circuit realization of the proposed chaotic system is presented and examined.

226 citations

Journal ArticleDOI
TL;DR: The results showed that for the same dosage of extracts the T. ammi synthesized various size triangular shaped nanoparticles measuring from 87 nm, to a fewer nanoparticles having a size of 998 nm diagonally, which resulted in almost spherical shaped particle ranging in size between 3.2 and 7.6 μm diagonsally.

187 citations

Journal ArticleDOI
TL;DR: Firefly with cyclic randomization is proposed for selecting the best cluster head for wireless sensor network and the network performance is increased in this method when compared to the other conventional algorithms.
Abstract: Wireless sensor network (WSN) is comprised of tiny, cheap and power-efficient sensor nodes which effectively transmit data to the base station. The main challenge of WSN is the distance, energy and time delay. The power resource of the sensor node is a non-rechargeable battery. Here the greater the distance between the nodes, higher the energy consumption. For having the effective transmission of data with less energy, the cluster-head approach is used. It is well known that the time delay is directly proportional to the distance between the nodes and the base station. The cluster head is selected in such a way that it is spatially closer enough to the base station as well as the sensor nodes. So, the time delay can be substantially reduced. This, in turn, the transmission speed of the data packets can be increased. Firefly algorithm is developed for maximizing the energy efficiency of network and lifetime of nodes by selecting the cluster head optimally. In this paper firefly with cyclic randomization is proposed for selecting the best cluster head. The network performance is increased in this method when compared to the other conventional algorithms.

182 citations

Journal ArticleDOI
TL;DR: The present work reports a simple, cost-effective, and ecofriendly method for the synthesis of silver nanoparticles (AgNPs) using Chrysanthemum indicum and its antibacterial and cytotoxic effects, which revealed a significant effect against the bacteria Klebsiella pneumonia and Escherichia coli.
Abstract: The present work reports a simple, cost-effective, and ecofriendly method for the synthesis of silver nanoparticles (AgNPs) using Chrysanthemum indicum and its antibacterial and cytotoxic effects. The formation of AgNPs was confirmed by color change, and it was further characterized by ultraviolet-visible spectroscopy (435 nm). The phytochemical screening of C. indicum revealed the presence of flavonoids, terpenoids, and glycosides, suggesting that these compounds act as reducing and stabilizing agents. The crystalline nature of the synthesized particles was confirmed by X-ray diffraction, as they exhibited face-centered cubic symmetry. The size and morphology of the particles were characterized by transmission electron microscopy, which showed spherical shapes and sizes that ranged between 37.71-71.99 nm. Energy-dispersive X-ray spectroscopy documented the presence of silver. The antimicrobial effect of the synthesized AgNPs revealed a significant effect against the bacteria Klebsiella pneumonia, Escherichia coli, and Pseudomonas aeruginosa. Additionally, cytotoxic assays showed no toxicity of AgNPs toward 3T3 mouse embryo fibroblast cells (25 μg/mL); hence, these particles were safe to use.

182 citations

Journal ArticleDOI
TL;DR: In this article, the authors used multivariate statistical analysis (CA), principal component analysis (PCA), and hierarchical cluster analysis (HCA) to understand the factors influencing contamination due to natural and anthropogenic impacts.

176 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202320
202264
20211
20204
20199
201813