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Santhanam T.,DG Vaishnav College
Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, PRIME 2013 | Year: 2013

The latest trend in authenticating users is by using the potentiality of biometrics. Keystroke dynamics is a behavioural biometrics which captures the typing rhythms of users and then authenticates them based on the dynamics captured. In this paper, a detailed study on the evolution of keystroke dynamics as a measure of authentication is carried out. This paper gives an insight from the infancy stage to the current work done on this domain which can be used by researchers working on this topic. © 2013 IEEE. Source


Santhanam T.,DG Vaishnav College | Subhajini A.C.,Noorul Islam University
Journal of Computer Science | Year: 2011

Problem statement: Accurate weather forecasting plays a vital role for planning day to day activities. Neural network has been use in numerous meteorological applications including weather forecasting. Approach: A neural network model has been developed for weather forecasting, based on various factors obtained from meteorological experts. This study evaluates the performance of Radial Basis Function (RBF) with Back Propagation (BPN) neural network. The back propagation neural network and radial basis function neural network were used to test the performance in order to investigate effective forecasting technique. Results: The prediction accuracy of RBF was 88.49%. Conclusion: The results indicate that proposed radial basis function neural network is better than back propagation neural network. © 2011 Science Publications. Source


Data mining is the process of discovering meaningful new correlation, patterns and trends by sifting through large amounts of data, using pattern recognition technologies as well as statistical and mathematical techniques. Cluster analysis is often used as one of the major data analysis technique widely applied for many practical applications in emerging areas of data mining. Two of the most delegated, partition based clustering algorithms namely k-Means and Fuzzy C-Means are analyzed in this research work. These algorithms are implemented by means of practical approach to analyze its performance, based on their computational time. The telecommunication data is the source data for this analysis. The connection oriented broad band data is used to find the performance of the chosen algorithms. The distance (Euclidian distance) between the server locations and their connections are rearranged after processing the data. The computational complexity (execution time) of each algorithm is analyzed and the results are compared with one another. By comparing the result of this practical approach, it was found that the results obtained are more accurate, easy to understand and above all the time taken to process the data was substantially high in Fuzzy C-Means algorithm than the k-Means. © 2014 Elsevier B.V. Source


Premalatha K.,DG Vaishnav College | Raghavan P.S.,Madras Christian College | Viswanathan B.,Indian Institute of Technology Madras
Applied Catalysis A: General | Year: 2012

The spinel type chromites MCr 2O 4 (M = Co, Ni and Cu) were synthesized by the co-precipitation method and have been characterized by a number of analytical tools. The efficacy of the synthesized system as catalysts for the oxidation of benzyl alcohol by molecular oxygen has been studied wherein it has been observed that benzaldehyde is formed with 100% selectivity. The catalytic activity of the chromites follows the order Co > Ni > Cu. The effect of the reaction parameters like the amount of the catalyst and reaction time was studied and it has been observed that the surface area and chemical hardness of the catalysts play a significant role. © 2012 Elsevier B.V. All rights reserved. Source


Vijayaraghavan K.,Prathyusha Institute of Technology and Management | Nalini S.P.K.,DG Vaishnav College
Biotechnology Journal | Year: 2010

This article recapitulates the scientific advancement towards the greener synthesis of silver nanoparticles. Applications of noble metals have increased throughout human civilization, and the uses for nano-sized particles are even more remarkable. "Green" nanoparticle synthesis has been achieved using environmentally acceptable solvent systems and eco-friendly reducing and capping agents. Numerous microorganisms and plant extracts have been applied to synthesize inorganic nanostructures either intracellularly or extracellularly. The use of nanoparticles derived from noble metals has spread to many areas including jewelery, medical fields, electronics, water treatment and sport utilities, thus improving the longevity and comfort in human life. The application of nanoparticles as delivery vehicles for bactericidal agents represents a new paradigm in the design of antibacterial therapeutics. Orientation, size and physical properties of nanoparticles influences the performance and reproducibility of a potential device, thus making the synthesis and assembly of shape- and size-controlled nanocrystals an essential component for any practical application. This need has motivated researchers to explore different synthesis protocols. © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. Source

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