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Santra A.K.,Bannari Amman Institute of Technology | Arul S.D.,Chikkanna Government Arts College
International Journal of Tomography and Statistics | Year: 2011

Clustered microcalcifications are one of the earliest indicators of breast cancer and can be detected only by mammography. Microcalcifications appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. For early breast cancers, screening studies suggest that 70 to 90 percent were detected based on microcalcifications alone. The clinical procedure is difficult, time consuming and demands great concentration during screening. Hence an attempt has been made to identify the suspicious region by a Computer Aided System. A Pixcals Refined Bandwidth algorithm is being developed which moves over pixels in order to extract microcalcification region. The new algorithm is embedded in a system which will enable to classify an image as normal or abnormal. Also for an abnormal image it indicates and earmarks the suspected area which contains microcalcifications. Different kinds of images have been considered and tested using the proposed algorithm and results are given in tables. The efficiency is higher which is measured through Receiver Operating Characteristic (ROC) curve. © 2011 by IJTS. Source

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. Source

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 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. Source

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. Source

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. Source

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