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Mahadevaiah N.,Indian Institute of Science | Vijayakumar B.,Indian Institute of Technology Madras | Hemalatha K.,Vemana Institute of Technology | Jai Prakash B.S.,Bangalore Institute of Technology
Bulletin of Materials Science | Year: 2011

Organo-clay was prepared by incorporating different amounts (in terms of CEC, ranging from 134-840 mg of quaternary ammonium cation (QACs) such as hexadecytrimethylammonium bromide ([C19H42N]Br) into the montmorillonite clay. Prepared organo-clays are characterized by CHN analyser and XRD to measure the amount of elemental content and interlayer spacing of surfactant modified clay. The batch experiments of sorption of permanganate from aqueous media by organo-clays was studied at different acidic strengths (pH 1-7). The experimental results show that the rate and amount of adsorption of permanganate was higher at lower pH compared to raw montmorillonite. Laboratory fixed bed experiments were conducted to evaluate the breakthrough time and nature of breakthrough curves. The shape of the breakthrough curves shows that the initial cationic surfactant loadings at 1·0 CEC of the clay is enough to enter the permanganate ions in to the interlamellar region of the surfactant modified smectile clays. These fixed bed studies were also applied to quantify the effect of bed-depth and breakthrough time during the uptake of permanganate. Calculation of thermodynamic parameters shows that the sorption of permanganate is spontaneous and follows the first order kinetics. © Indian Academy of Sciences. Source

Sunil H.,Vemana Institute of Technology | Hiremath S.G.,East West Institute of Technology
Proceedings of the 2015 International Conference on Applied and Theoretical Computing and Communication Technology, iCATccT 2015 | Year: 2015

Medical images contain more data and therefore, to save the transmission time, storage capacity and saving the time, an efficient image compression method is required. In this work we introduce a new algorithm for image compression decompression (reconstruction) based on JPEG 2000 standards. The proposed algorithm is named as Decompression based composite splitting Algorithm (DBCA) which is the combination of the RLTA (Repetitive Loss-Thresholding algorithm) and DDA (Denoising Dividing Algorithm). In the first step of the proposed algorithm, the image is divided into sub-parts. These sub-parts of the image are treated as smaller size minimization problem. Each sub part of the image reconstructed individually and finally all the reconstructed parts of the image are combined together to get the reconstructed image. The visual and mathematical results are shown which are superior to the existing method for image compression and reconstruction. © 2015 IEEE. Source

K R.,Vemana Institute of Technology | Raja K.B.,University Visvesvaraya College of Engineering
Proceedings - 2011 International Conference on Computational Intelligence and Communication Systems, CICN 2011 | Year: 2011

Biometrics recognition tool has great emphasis in both research and practical applications. With an increasing requirement on security, automated personal identification and verification based biometrics has been receiving extensive attention over the past decade. In this paper Performance Evaluation of Face Recognition based on DWT and DT-CWT using Multi-matching Classifiers (FRMC) is proposed. The face images captured from the persons differ in size and hence image dimensions are converted into 2 n * 2 n dimension, for DT-CWT. The two level DWT is applied on face images to generate four sub bands. The DT-CWT is applied on only LL sub band to generate DT-CWT coefficients, which forms features for face images. The features of database and test face are compared using Euclidian Distance, Random Forest and Support Vector Machine matching algorithms. It is observed that correct recognition rate, false acceptance rate and false reject rate are better in the case of proposed method as compared to existing techniques. © 2011 IEEE. Source

Ramesha K.,Vemana Institute of Technology | Raja K.B.,University Visvesvaraya College of Engineering
Communications in Computer and Information Science | Year: 2011

The face recognition system is used to create a national database for the purpose of identity cards, voting in an electoral systems, bank transaction, food distribution system, control over secured areas etc. In this paper we propose the Face Recognition System using Discrete Wavelet Transform and Fast PCA (FRDF). The Discrete Wavelet Transform is applied on face images of Libor Spacek database and only LL subband is considered. Fast Principal Component Analysis using Gram-Schmidt orthogonalization process is applied to generate coefficient vectors. The Euclidean Distance between test and database face image coefficient vectors are computed for face recognition based on the threshold value. It is observed that the face recognition rate is 100% and the proposed algorithm for the computation of eigenvalues and eigenvectors improves the computational efficiency as compared to Principal Component Analysis (PCA) with same Mean Square Error (MSE). © 2011 Springer-Verlag. Source

Jayalakshmamma D.V.,Vemana Institute of Technology | Dinesh P.A.,M.S. Ramaiah Institute of Technology | Chandrashekhar D.V.,Vivekananda Institute of Technology
Fluid Dynamics and Materials Processing | Year: 2014

We examine the motion of the two concentric immiscible liquid spheres with different viscosities in an electrically conducting fluid in the presence of transverse magnetic field. The inner sphere is assumed to move at a constant velocity. The Stoke's equation along with the Lorentz force is considered to model the resulting fluid flow, analytical solutions being obtained by the similarity solution method in terms of modified Bessel's functions. Streamlines related to the fluid circulation in the annulus between the two liquid spheres and inside the inner liquid sphere are presented for different combinations of the governing non-dimensional parameters. © 2014 Tech Science Press. Source

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