Conference Papers

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    A parallel segmentation of brain tumor from magnetic resonance images
    (2012) Dessai, V.S.; Arakeri, M.P.; Guddeti, G.
    Medical image segmentation is nowadays at the core of medical image analysis and supports computer-aided diagnosis, surgical planning, intra-operative guidance or postoperative assessment. Large amounts of research efforts have been made in developing effective brain MR (magnetic resonance) image tumor segmentation methods in the past years. However algorithms proposed so far are time consuming because it involves lot of mathematical computations. Also serial segmentation of multiple MRI slices (usually required for 3D visualization) takes exponential time. This results in need for improvement in performance as far as the time complexity is concerned. This paper proposes a methodology that incorporates the K-means clustering and morphological operation for parallel segmentation of multiple MRI slices corresponding to single patient. Segmentation of multiple MRI slices for tumor extraction plays major role in 3D (Three Dimensional) visualization and serves as an input for the same. The proposed framework follows SIMD (Single Instruction Multiple Data) model and since the segmentation of individual slice is independent of each other and can be performed in parallel and multithreading definitely speeds up the entire process. Also the framework does not involve any kind of inter-process communication thus the time is saved here as well. © 2012 IEEE.
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    Effect of nickel sulphate to hypophosphite ratio on the electroless deposition of Ni-P coatings on aluminium
    (Trans Tech Publications, 2014) Jayalakshmi, M.; Bhat, K.U.
    Electroless Ni-P alloy was deposited on commercial pure aluminium with different nickel source-reducing species ratios. Deposition time was fixed as two hours. The deposits were characterised for changes in morphology and crystallinity. It was observed that increase in nickel source to reducing species ratio produced a deposit with reduced mean nodule size. Also, nodule size distribution was narrow. Deposits with increased ratio showed higher levels of crystallinity. © (2014) Trans Tech Publications, Switzerland.
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    Classification of tidal inlets along the central west coast of India
    (Elsevier Ltd, 2015) Mendi, M.; Reddy, N.A.; Rao, S.; Seelam, J.K.
    Tidal inlets along the Maharashtra coast on the central west coast of India were classified according to three methods available in the literature. Two classification methods viz., (i) Hydrodynamic classification (Hayes, 1979) and (ii) Classification based on dimensionless parameters (Vu, 2013) used for the classification are compared with the morphological classification of de Vriend et al., (1999). The hydrodynamic classification of Tidal inlets along Maharashtra coast is carried out considering mean annual significant wave height. The classification is also extended considering significant wave heights obtained for South-West monsoon, North-East monsoon and Fair Weather seasons. It has been observed that 74% of the inlets are tide dominated as per morphological classification whereas considering annual mean wave heights in Vu (2013) method, 67% of the inlets are wave dominated. © 2015 The Authors. Published by Elsevier Ltd.
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    Ultrasound assisted Synthesis of Poly (styrene-Co-methylmethacrylate)-HNT's Nanocomposites by In-Situ Emulsion Copolymerization and its Characterization
    (Elsevier Ltd, 2017) Buruga, K.; Kalathi, J.T.
    Poly (styrene-co-methylmethacrylate)-HNT nanocomposites have been successfully synthesized by ultrasound assisted emulsion copolymerization without modification of HNT's. The key parameters that affect the stability of the emulsion and hence the properties of the resulting nanocomposites are sonication time and clay loading. The effectsof these parameters on the process were investigated in this study. Thesynthesized nanocomposites were characterized by scanning electron microscope (SEM), X-ray diffraction (XRD), Fourier transform and infrared spectroscopy (FT-IR) and differential scanning calorimetry (DSC) to investigatemorphology and thermal stability. The embodiment of the HNTs into the copolymer matrix was confirmed by FTIR, and XRD analyses positively delineated the complete exfoliation of HNTs into the copolymer matrix on sonication for 60 min. SEM analyses revealed homogenous dispersion of HNTs into the copolymer matrix and DSC analysis showed significant improvement in glass transition temperature (Tg)of composites upto 2 weight% of HNT loading and any further loading of HNT resulted in decrease in Tg.Zeta size and zeta potential analyses confirmed the particles were in nanoscale and possessed good stability respectively. This sonochemical route of preparation proves to be a promising way to accomplish nanocomposites synthesis with insitu polymerisation and to obtain better dispersion of particles in resulting composites. © 2017 Elsevier Ltd.
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    Preparation and characterization of flexible PVDF based polymer film for energy harvesting applications
    (Elsevier Ltd, 2019) Naik, R.; Rao, S.T.
    In this work, Zirconium oxide based PVDF nanocomposite films are fabricated by using solution casting method with varying zirconium oxide fractions (0, 1, 5 wt%). The crystalline structure of prepared nanocomposite films is studied by X-Ray diffraction (X-RD) and FTIR methods. To check surface morphology, SEM study is carried out. From this study, it is observed that zirconium filler is well dispersed in the PVDF matrix. The piezoelectric performance of the prepared film is analyzed. From this analysis, maximum output voltage of 0.61V is observed during mechanically finger tapping and releasing condition for 5% of zirconium filler content film. © 2019 Elsevier Ltd. All rights reserved.