Ayya Nadar Janaki Ammal College

Sivakasi, India

Ayya Nadar Janaki Ammal College

Sivakasi, India
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Sevugapandi N.,Bharathiar University | Chandran C.P.,Ayya Nadar Janaki Ammal College
Indonesian Journal of Electrical Engineering and Computer Science | Year: 2017

This proposed method focus on these issues by developing a novel classification algorithm by combining Gene Expression Graph (GEG) with Manhattan distance. This method will be used to express the gene expression data. Gene Expression Graph provides the optimal view about the relationship between normal and unhealthy genes. The method of using a graph-based gene expression to express gene information was first offered by the authors in [1] and [2], It will permits to construct a classifier based on an association between graphs represented for well-known classes and graphs represented for samples to evaluate. Additionally Euclidean distance is used to measure the strength of relationship which exists between the genes. © 2017 Institute of Advanced Engineering and Science. All rights reserved.


Prathibha P.H.,Bharathiar University | Chandran C.P.,Ayya Nadar Janaki Ammal College
Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016 | Year: 2016

Single Nucleotide Polymorphisms (SNPs) are the most common form of genetic variation in humans comprising nearly 1/1, 000th of the average human genome. The intelligent analysis of databases may be affected by the presence of unimportant features, which motivates the application of feature selection. In this work, we have proposed a genetic based feature selection. Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic is routinely used to generate useful solutions to optimization and search problems. Clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups. Bee Colony optimization (BCO) algorithm is a population-based search algorithm. It mimics the food foraging behaviour of honey bee colonies. In its basic version the algorithm performs a kind of neighbourhood search combined with global search, and can be used for both combinatorial optimization and continuous optimization. In this paper the feature selection approach Genetic clustering with BCO was successfully applied to Leukamia cancer data sets. The feature selection approach has resulted in 80% reduction in number of features. The accuracy and specificity for the significant gene/SNP set was 70% and 82%, respectively. The number of features has been considerably reduced while the quality of knowledge was enhanced. © 2016 IEEE.


Pandiarajan J.,Ayya Nadar Janaki Ammal College | Pandiarajan J.,Bharathidasan University | Krishnan M.,Bharathidasan University | Krishnan M.,Central University of Rajasthan
Environmental Chemistry Letters | Year: 2017

Silver nanoparticles are actually used in several industrial sectors and end up in the environment, thus inducing a possible toxicity for living organisms. This article reviews the properties, synthesis and toxicology of silver nanoparticles, with focus on the toxicity for insects such as Bombyx mori. © 2017 Springer International Publishing Switzerland


Parthasarathy V.,Ayya Nadar Janaki Ammal College | Sundaresan B.,Ayya Nadar Janaki Ammal College | Dhanalakshmi V.,KCET | Anbarasan R.,National Taiwan University
Polymer Engineering and Science | Year: 2010

High-density polyethylene (HDPE) was graft functionalized with two different mercaptoesters in an inert atmosphere at 160°C under different experimental conditions by thermolysis method. The order of functionalization, crosslinking, and C=C formation reactions were determined from the relative intensities of carbonyl stretching vibration and C-H bending vibrations. FTIR, DSC, and TGA analytical tools were used to characterize mercaptoester- functionalized HDPE. A plausible reaction mechanism is proposed here to explain the experimental results obtained. POLYM. ENG. SCI., 50:474-483, 2010. © 2009 Society of Plastics Engineers.


Alagukumar S.,Ayya Nadar Janaki Ammal College | Lawrance R.,Ayya Nadar Janaki Ammal College
Procedia Computer Science | Year: 2014

Association analysis plays the vital role in the computational biology. DNA Microarrays allow for the simultaneously monitor of expression levels for thousands of genes or entire genomes. Microarray gene association analysis is exposing the biological relevant association between different genes under different experimental samples. Mining association rules has been applied successfully in various types of data for determining interesting association pattern. Frequent pattern mining is becoming a potential approach in microarray gene expression analysis. In this paper the most relevant mining association rules as well as main issues when discovering efficient and practical method for microarray gene association analysis have been reviewed. © 2015 The Authors. Published by Elsevier B.V.


Theivasanthi T.,Ayya Nadar Janaki Ammal College | Alagar M.,Ayya Nadar Janaki Ammal College
Nano Biomedicine and Engineering | Year: 2012

This work reports a simple, novel, cost effective and eco-friendly electrolytic synthesis of silver nanoparticles using AgNO 3 as metal precursor. The synthesis rate is much faster than other methods and this approach is suitable for large scale production. They are characterized by XRD, SEM and FTIR techniques to analyze size, morphology and functional groups. XRD studies reveal a high degree of crystallinity and monophasic Ag nanoparticles. Their particle size is found to be 24 nm and specific surface area (SSA) is 24 m 2 g -1. Analysis of Ag nanoparticles SSA reports that increasing their SSA improves their antibacterial actions. Microbiology assay founds that Ag nanoparticles are effective against E.coli and B.megaterium bacteria. SSA of bacteria analysis reveals that it plays a major role while reacting with antimicrobial agents. © 2012 T. Theivasanthi, et al.


Latesh Kumar K.J.,Siddaganga Institute of TechnologyKarnataka | Lawrance R.,Ayya Nadar Janaki Ammal College
Smart Innovation, Systems and Technologies | Year: 2015

The core confronts of today’s Information Technology remains to be the funding and optimized management of storage infrastructure. Data maintenance and most importantly securing the data, since data is omitted by non IT infrastructure edging higher and hence storage appliances turning huge and breeding infrastructure capital investment, hence technology front is pointing at new research method that would cut and reduce the capital investments on storage front. Deduplication is one of the key components of storage efficiency technologies that enable customers to store the maximum amount of data for the lowest possible cost. This technology is implemented on storage to achieve efficient storage savings. Unlike any other storage technology deduplication is also crond to run at suitable clock across data centre. This research article aims to lower the storage cost and in achieving the higher deduplication rate. © Springer India 2015.


Devamani R.H.P.,Vv Vanniaperumal College For Women | Alagar M.,Ayya Nadar Janaki Ammal College
Nano Biomedicine and Engineering | Year: 2013

Copper (II) Hydroxide nano particles were synthesized via chemical co-precipitation method from Copper Sulphate and Sodium Hydroxide. Structural and compositional properties were characterized by XRD, SEM, FTIR and UV spectroscopy. XRD confirmed the preferential growth of Copper (II) Hydroxide nano particles that width is 33.42nm. The SEM image shows the synthesized Copper (II) Hydroxide show well crystallized particles with plate-like morphology. The FTIR spectrum is used to study the stretching and bending frequencies of molecular functional groups in the sample. From UV spectrum, the band gap of Copper (II) hydroxide nano particles is found to be 4.5 eV. From AAS studies, it is found that the absorbance is directly proportional to the concentration. The linear fit indicates that Copper (II) Hydroxide nanoparticles have been distributed in proper proportion. Copyright:(c) 2013 R H. P. Devamani and M Alagar.


Krishnan S.M.,Ayya Nadar Janaki Ammal College | Sanjayan K.P.,Guru Nanak Institutions
World Applied Sciences Journal | Year: 2016

The Entomopathogenic micro-fungal species Metarhizium anisopliae was collected from the agricultural soils of Kanchipuram district of Tamil Nadu, India. Micro-fungal spores of Metarhizium anisopliae were tested for its effect on the feeding of Spodoptera litura at three different concentrations of 103, 105 and 107. The Higher concentration of spore significantly reduce the consumption of leaf. The exposure of fungal spore's concentration decrease the production efficiency. The microfungal infection reduction of Spodoptera litura gut enzymes such as amylase and trehalase and reduced weight gain of infected insects and 33.32% mortality recorded in microfungal infected S.litura. © IDOSI Publications, 2016.


Velusamy P.,Ayya Nadar Janaki Ammal College | Rajalakshmi S.,Erode Arts and Science College
International Journal of Environment and Waste Management | Year: 2016

The photocatalytic decolouration of 2, 4-dinitrophenol (DNP) in aqueous solution by modified metal oxides (MOs = TiO2 and ZnO)/β-cyclodextrin (β-CD) has been investigated under visible light irradiation and the results are compared with bare MOs. The MOs and their modified forms are characterised by UV-DRS, PXRD and FE-SEM analyses. The obtained results show that β-CD does not affect the crystalline phase of MOs. The photocatalytic decolouration depends on various processing parameters like initial concentration of DNP, irradiation time, the amount of the catalysts used and pH of the medium. The rate of photocatalytic decolouration of DNP follows the pseudo-first order kinetics. COD results show that the DNP molecules are mineralised in acidic pH. From the results, it has been concluded that β-CD forms inclusion complex with DNP and adsorbed on metal oxide surfaces to enhance the photocatalytic decolouration of DNP. © 2016 Inderscience Enterprises Ltd.

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