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Articles by V. Sujatha
Total Records ( 3 ) for V. Sujatha
  V. Sujatha , A. Muruganandham and R. Mukesh
  The significance of images has increased drastically in all the technological fields. Though the rapid decoding algorithms exist, the encoding process is extremely time consuming. But, owing to large encoding time of Fractals image coder, its application is restricted. Hence, a fast encoder is needed to extend the application of Fractals technology, to fast communication such as World Wide Web. Here, a fast image coder is proposed which reduces the coding considerably time of image. In this study a fast fractal encoding system is proposed using Dual Tree Complex Wavelet Transform (DTCWT) and reduce the encoding time with increased quality of image can be reproduced. The proposed simple SPIHT (Set partitioning in hierarchical Trees) algorithms used and which is based on not only the relationship between the bit-planes and the target bit-rate. It gives the relationship between the initial threshold and the target bit-rate, can effectively reduce the computation time and required memory space also. The simulation results using MATLAB is compared with pure SPIHT based Fractals Image coder using DWT.
  V. Sujatha and Shaheda Akthar
  Microarray information is an secondary dimensional dataset with a little example measure which holds not main pertinent as well as unimportant what’s more excess genes. Gene interpretation profiling may be measuring those action about many genes simultaneously. Identikit right gene determination will be an significant errand to microarray information order. Genetic algorithms gets its ideas from biological world and the way genes interact to other genes to make new genes. In this research, Genetic algorithm is Applied on Lymphoblastic Leukaemia (ALL) data set. This fill in summarizes majority of the data signifying gene interpretation profile of five assemblies of patients (EMLLA, Hyp+50, MLL, T, also TEL), dispose of the The majority irrelavant genes, most extreme and least outflow esteem for each gene, furthermore, genes were positioned by least also maximam values, what’s more assuming that they were inside the highest point 15% were chose to characteristic examination.
  R. Rajamurugan , N. Selvaganabathy , S. Kumaravel , CH. Ramamurthy , V. Sujatha , M. Suresh Kumar and C. Thirunavukkarasu
  Context: Vernonia cinerea (L.) Less [Compositae (Asteraceae)] is used traditionally for several medical purposes such as inflammation, pain, fever, and cancer. Objectives: The present study identified the bioactive constituents in the methanol extract of Vernonia cinerea leaf and evaluated its antioxidant activity and acute toxicity. Methods: The identification of phytochemicals was accomplished by GC-MS and the major antioxidant phenolic compounds in the extract were quantified by HPTLC analysis. To quantify the essential elements, atomic absorption spectrophotometeric analysis was carried out. Total phenol and flavonoid content was measured by Folin-Ciocalteau reagent and 2% aluminium chloride, respectively. Results: GC-MS analysis identified the presence of 27 phytoconstituents. The predominant phenolic compound in the extract as quantified by HPTLC was gallic acid (1.92 mg/g) followed by rutin (0.705 mg/g), quercetin (0.173 mg/g), caffeic acid (0.082 mg/g) and ferulic acid (0.033 mg/g). The following elements were quantified: Fe (0.050 ppm), Mn (0.022 ppm), Co (0.0180 ppm), Pb (0.029 ppm), Hg (3.885 ppm) and Se (4.5240 ppm). The antioxidant activity of the extract increased with increasing concentration and the correlation (r2) for all in vitro assays were satisfactory. Conclusions: V. cinerea extract has significant (p < 0.05) antiradical activity. Hence, V. cinerea may have potential medicinal value and can be used in the formulation of pharmacological products for degenerative diseases.
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