Chikkanna Government Arts College

Tiruppur, India

Chikkanna Government Arts College

Tiruppur, India
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Hemageetha N.,Periyar University | Nasira G.M.,Chikkanna Government Arts College
International Journal of Control Theory and Applications | Year: 2016

Data mining in agriculture is a novel research field. Analysis of soil is a major component of soil resource management in agriculture. In this paper various soil types are analyzed using Data mining clustering and classification techniques for Salem district. Compared with other classifiers, clustered J48 classifier produce high accuracy result. Soil type classification will help the farmer to cultivate suitable crops in a particular type of soil. © International Science Press.


Indhumathi V.,Periyar University | Nasira G.M.,Chikkanna Government Arts College
2016 IEEE International Conference on Advances in Computer Applications, ICACA 2016 | Year: 2017

Grid computing is the group of computer resources from numerous sites to achieve a common aspiration. The grid can be consideration of as a distributed system with non-interactive workloads that engross a great amount of files. In Grid computing, fault tolerance is a major predicament and of the metric which believe being most imperative since the resource failure affects job finishing, throughput, response time and recital of system and network. Fault tolerance in load balancing is individual of the major confront in grid computing, which is necessary to dispense the workload uniformly diagonally all the nodes, perceive the fault and eliminate fault from the network and share workload to all the nodes to enlarge the recital of grid network. The load is a quantity of work that computation systems carry out, which can be classified as network load, storage capacity, memory capacity and CPU load. It is essential to build a new proposal for computational grids which hold computational and data intensive applications. The foremost endeavor of this paper is to diminish the implementation time of applications in computational grid. The proposed Load Balanced Fault tolerant (LBFT) architecture using SOA focus on a new dynamic load complementary algorithm beside among fault tolerant scheduling approach through which successful load balancing and fault tolerance have been accomplished. © 2016 IEEE.


Seethalakshmi D.,Bharathiar University | Nasira G.M.,Chikkanna Government Arts College | Thangamani P.,Chikkanna Government Arts College
2016 IEEE International Conference on Advances in Computer Applications, ICACA 2016 | Year: 2017

In the field of cloud computing the approach for sharing of data and storage between a group of people requires efficient approach with cost cutting and low maintenance procedure. Sharing of outsourced files assures security and ensures data veracity according to the frequent changes in shared data files. Issues like preserving privacy of data among the group stored data shared in common cloud storage. Prominent attacks within the cloud requires scheme of defense mechanisms use key distribution mechanism in secured communication channels. Some of the existing system use fine grain access control with revoked user that protects prominent attacks for original data achieving security. In our proposed paper we inculcate a Cloud Storage Controller (CSC) that manages the allocation of group of data stored and it can only referenced and cannot download any database from cloud. The data will be blended together into one of two sets for example if two users storing data of 2 megabyte and 3 megabyte each then that will be merged together as two datasets with 1 megabyte of first user and 1 megabyte of second user. In the second data set it merges 1 megabyte of first user and 2 megabyte of second user using Fusing Data Technique (FDT). Every dataset will be bookmarked which symbolizes the user that dataset belongs to and that will be indexed in the Cloud Storage controller (CSC). It helps in fast and highly secured datasets storage management in cloud storage system. It achieves efficient database privacy and revokes user data swiftly and securely. © 2016 IEEE.


Krishnakumar V.,Periyar University | Barathi D.,Nkr Government Arts College W | Mathammal R.,Salem College | Balamani J.,Chikkanna Government Arts College
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy | Year: 2014

Maltol (3-hydroxy-2-methyl-4pyrone) is widely known as metal ions chelator with many practical applications in catalysis, medicine and food chemistry. The FTIR and FT-Raman spectra of maltol have been recorded in the region 4000-400 and 4000-50 cm-1, respectively. The conformational analysis, optimized geometry, frequency and intensity of the vibrational bands of maltol were obtained by the density functional theory (DFT) with complete relaxation in the potential energy surface using 6-31G* basis set. The observed and the calculated frequencies are found to be in good agreement. The 1H and 13C NMR spectra have been recorded and 1H and 13C nuclear magnetic resonance chemical shifts of the molecule were also calculated using the gauge independent atomic orbital (GIAO) method and their respective linear correlations were obtained. The electronic properties HOMO and LUMO energies were measured. Thermodynamic properties (heat capacity, entropy and enthalpy) of the title compound were calculated. The Mulliken charges, the values of electric dipole moment (μ) of the molecule were computed using DFT calculations. The first order hyperpolarizability (βo) and related properties (β, αo and Δα) of both are calculated using B3LYP/6-31G* method on the finite-field approach. The calculated first hyperpolarizability shows that the molecules are an attractive molecule for future applications in non-linear optics. The intramolecular contacts have been interpreted using Natural Bond Orbital (NBO). © 2013 Elsevier B.V. All rights reserved.


Sivakumar N.,Chikkanna Government Arts College | Chandramohan V.,P.A. College
Journal of Materials Science: Materials in Electronics | Year: 2015

Pure and magnesium doped zinc oxide nanocrystals were synthesized in one molar concentration using zinc acetate dihydrate as starting material by wet chemical method. The prepared nanocrystals were annealed at 350 °C. The impact of addition of different concentrations of magnesium dopant on structural, optical property, surface morphology, and photo-catalytic activity was analyzed and photo-catalytic degradation of methylene blue by pure ZnO and Mg doped ZnO nanocrystals was analyzed in terms of different reaction parameters viz., reaction time, amount of catalyst and concentration of dye were investigated. The results are interpreted in view with the crystallite size and influence of dopant metal. The obtained results reveal that Mg-doping enhances the photo-catalytic performance. © 2015, Springer Science+Business Media New York.


Nasira G.M.,Chikkanna Government Arts College
Asian Journal of Information Technology | Year: 2014

Quality inspection is one of the major problem for fabric manufacturers in textile industries. Textile manufacturing is a process of converting various types of fibers into yarn, woven then into fabric. Weaving is a process of interlacing two distinct yarns namely warp and weft. A fabric fault is any abnormality in the fabric that hinders its acceptability by the user. At present, the fault detection is done manually after production of a sufficient amount of fabric. The nature of work is very dull and repetitive. There is a possibility of human errors with high inspection time in manual inspection, hence it is uneconomical. This study proposed a computer based inspection system for identification of defects in the woven fabrics using image processing and Artificial Neural Network (ANN) with benefits of low cost and high detection rate. The defects consist of hole, stain, warp float and weft float. The inspection system first acquires high quality vibration free images of the fabric. Then, the acquired images are first normalized and preprocessed using image processing techniques then the preprocessed image is converted into binary images based on the threshold value. From the binary image features are extracted and these extracted features are given as input to the Artificial Neural Network (ANN) which uses Back Propagation algorithm to calculate the weighted factors and generates the output. The ANN is trained by using 115 defect free and defected images. © Medwell Journals, 2014.


Gomathi P.M.,P.A. College | Nasira G.M.,Chikkanna Government Arts College
International Review on Computers and Software | Year: 2014

The major objective of the work is concern about the education community in their mission to be with the majority. The initial stage of the work is to study different mechanism for diagnosing learning disability (LD). Medical diagnosing searching becomes the major problem for movements of relationship among eye and dyslexia. To manage these problems several work have been demonstrated. But still it becomes most important difficulty how to extraction of best features from original data and how to improves the detection result in learning disability (LD). In order overcome these difficulties proposed an efficient wavelet transform (WT) for feature extraction and Adaptive Neuro-Fuzzy Inference System (ANFIS) based classifier dyslexia detection from eye movement signal. Eye movement of children was evaluated using Videooculographic (VOG) techniques. During this process both reading and non-reading tasks were measured based on eye movement of each children. After the measurement of eye movement then extract features using WT, then further the diagnosis of learning disability for classification using ANFIS system. Finally evaluate the performance of ANFIS classifier for dyslexia detection from eye movement signal. Compare to ANN based classification,proposed ANFIS Classifier are less computational complication and detection result of methods are compared using parameters like accuracy, sensitivity and specificity, it shows that ANFIS Classifier are higher detection result than existing ANN classification. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.


Rabeeth M.,Chikkanna Government Arts College | Anitha A.,Nehru Arts and Science College | Srikanth G.,Amrita University
Pakistan Journal of Biological Sciences | Year: 2011

Streptomyces griseus (MTCC 9723) is a chitinolytic bacterium isolated from prawn cultivated pond soil of Peddapuram Village; East Godavari District was studied in detailed. Chitinase (EC 3.2.1.14) was extracted from the culture filtrate of Streptomyces griseus and purified by ammonium sulfate precipitation, DEAE-cellulose ionexchange chromatography, Sephadex G-100 and Sephadex G-200 gel filtration chromatography. The molecular mass of the purified chitinase was estimated to be 34, 32 kDa by SDS gel electrophoresis and confirmed by activity staining with Calcofluor White M2R. Chitinase was optimally active at pH of 6.0 and at 40°C. The enzyme was stable from pH 5-9 and up to 20-50°C. The chitinase exhibited Km and Vmax values of 400 mg and 180 IU mL -1 for colloidal chitin. Among the metals and inhibitors that were tested, the Hg +, Hg 2+ and P-chloromercuribenzoic acid completely inhibited the chitinase activity at 1 mM concentration. The purified chitinase showed high activity on colloidal chitin, chitodiose, and chitooligosaccharide. An in vitro assay proved that the crude chitinase, actively growing cells of S. griseus having antifungal activity against all studied fungal pathogen. This result implies that characteristics of S. griseus producing endochitinase made them suitable for biotechnological purpose such as for degradation of chitin containing waste and it might be a promising biocontrol agent for plant pathogens. © 2011 Asian Network for Scientific Information.


Maiyalagan T.,Nanyang Technological University | Karthikeyan S.,Chikkanna Government Arts College
Indian Journal of Chemical Technology | Year: 2013

Exfoliated graphitic nanoplatelets (xGnPs) have been utilized as a potential adsorbent for toxic textile dye Acid Orange 7 (acid dye). The effects of major variables governing the efficiency of the process, such as temperature, initial dye concentration and pH are studied. The kinetic measurements have been used for determining the specific rate constant, confirming the applicability of pseudo first-order rate expression. Plausible mechanism of ongoing adsorption process involved is obtained by carrying out kinetic measurements. To identify whether the ongoing process is particle diffusion or film diffusion, the treatments given by Boyd and Reichenberg have been employed. The influence of different factors on the adsorption of Acid Orange 7 from solution is explained in terms of electrostatic interaction by considering the dye species and the surface character of the xGnPs. The developed system for the removal of acid dye is found to be very useful, economic, rapid and reproducible.


Sumithra C.,Coimbatore Institute of Technology | Karthikeyan S.,Chikkanna Government Arts College
Rasayan Journal of Chemistry | Year: 2014

A carbonaceous adsorbent prepared from an indigenous Moringa oleifera fruit shell waste by carbonate treatment process was tested for its efficiency in removing Acid Blue 92 (AB 92). Adsorption of AB 92 on the Moringa oleifera fruit shell waste showed the highest value around pH 4.0 and followed the pseudo second order kinetic model. The adsorption equilibrium was represented with Langmuir and Freundlich isotherms. To identify whether the ongoing process is particle diffusion or film diffusion, the treatment given by Boyd and Reichenberg was employed. Thermodynamic parameters such as enthalpy change (ΔH), free energy change (ΔG) and entropy change (ΔS) were studied, and the adsorption process of AB 92 was found to be endothermic and spontaneous. © 2014 RASĀYAN. All rights reserved.

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