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Articles by P. Saravanan
Total Records ( 4 ) for P. Saravanan
  P. Sridharan , P. Saravanan and V.M. Shenbagaraman
  Banks today operate in a highly globalized competitive environment. Banks race against each other in attracting new customers and satisfying their existing customers by introducing the latest technology. People from various states are living in Chennai. This is a challenge to the banks in many aspects. Since, Indian bank is pioneer in computerization, bank has to know the role of socio-economic variables such as age, gender, educational qualification, income and occupation on adoption of Internet banking. It will help the bank to formulate an effective strategy to retain and attract new customers. This study is carried out to identify the socio-economic variables of the customers of Indian bank who use Internet banking and also to examine the role of socio-economic characteristics on the adoption of Internet banking of the customers of Indian bank in Chennai Metropolitan City. Descriptive research design and judgment sampling are used for this study. Questionnaire is used to conduct the survey with 231 Internet banking users of Indian bank in Chennai Metropolitan City. It is found that the gender, educational qualification, occupation and annual income play a major role on adoption of Internet banking of Indian bank in Chennai. The age and marital status of respondents have no role on adoption of Internet banking of Indian bank in Chennai.
  S. Finer , P. Saravanan , G. Hitman and C. Yajnik
  Vitamin B12 deficiency is common in certain populations, such as in India, where there is also a rising prevalence of Type 2 diabetes, obesity and their complications. Human cohorts and animal models provide compelling data suggesting the role of the one-carbon cycle in modulating the risk of diabetes and adiposity via developmental programming. Early mechanistic studies in animals suggest that alterations to the cellular provision of methyl groups (via the one-carbon cycle) in early developmental life may disrupt DNA methylation and induce future adverse phenotypic changes. Furthermore, replacement of micronutrient deficits at suitable developmental stages may modulate this risk. Current human studies are limited by a range of factors, including the accuracy and availability of methods to measure nutritional components in the one-carbon cycle, and whether its disruptions exert tissue-specific effects. A greater understanding of the causal and mechanistic role of the one-carbon cycle is hoped to generate substantial insights into its role in the developmental origins of complex metabolic diseases and the potential of targeted and population-wide prevention strategies.
  P. Saravanan and M. Lakshmi
  Cephalometric investigation in forensic science, concerned with the recognition, identification, individualization and assessment of physical confirmation. This study portrays the different soft computing algorithms for horizontal cephalogram picture based sexual orientation classification. In this study, we proposed another classification strategy called Weighted Rough Neural Network (WRNN). The Weiner filter has been utilized for preprocessing to lessen clamor in a picture. Programmed landmark identification for cephalogram pictures utilizing single fixed appearance model. The fifty one landmark points are extracted from skull image. Then principal component analysis and Daubechies wavelets are applied for feature selection. At the end chosen features are ordered according to the sexual orientation by applying Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Back Propagation Neural Network (BPN) with proposed Weighted Rough Neural Network (WRNN) strategies. The comparative examination is performed among these techniques by utilizing the quantitative measures. From the after effects of the present investigation, it might be concluded that parallel cephalogram examination utilizing WRNN can be utilized as a dependable instrument in sex assurance.
  P. Saravanan and K.K. Thyagharajan
  Today, High Efficiency Video Coding (HEVC), developed by the ITU-T video coding experts group and ISO/IEC moving picture experts group is emerging as a potential video compression standard. HEVC or H.265 compared to H.264/AVC is primarily standardized to improve the compression ratio, so as to achieve an equivalent video quality. In HEVC, a joint selective encryption and data embedding technique is proposed where HEVC coding structure is separated into two groups. One is utilized for encrypting video content and the other for embedding data. However, the size of bit-streams for encrypted and data-embedded videos are increased significantly, since, the HEVC coding structure is not utilized. Therefore, in this study we have proposed an improved joint selective encryption and matrix embedding technique using block size coding decision model in H.265. In this approach, non-zero DCT coefficients are manipulated according to the transform block size in all frames. Here, matrix embedding is proposed in terms of large payloads for improving embedding efficiency and reducing coding complexity. The results obtained show that the proposed data hiding technique for H.265 provided highest embedding efficiency with reduced coding complexity.
 
 
 
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