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Arivazhagan S.,MepcoSchlenk Engineering College | Vijay M.,PSRR Engineering College
Proceedings of the 2012 International Conference on Recent Advances in Computing and Software Systems, RACSS 2012 | Year: 2012

A novel adaptive spatial and transform based approach by fusing Bilateral Filter (BF), Joint Bilateral Filter (JBF) and Wavelet Thresholding (WT) is proposed for image restoration. The Bilateral and Joint Bilateral filter can perform as an edge-preserving smoothing operator and have better behavior near the edges. In the first stage, the noisy image is passed through bilateral filter and some amount of noise is reduced but the image becomes blurred, hence wavelet thresholding is applied first with Bayes Shrinkage (BS) rule and then with Modified Bayes Shrinkage (MBS) rule in the second stage. In the third stage, the wavelet thresholding output is used as a reference image for the joint bilateral filter to preserve and enhance the edges effectively. The main aim is to achieve a cleaner version of the noisy image without blurring important features like edges, curves, and textures. The filter-performances are usually compared in terms of peak-signal-to-noise ratio (PSNR) and visual quality sense. Experimental results show that the proposed image denoising method is competitive when compared to other methods in suppressing various types of noise. © 2012 IEEE. Source


Nagaraj P.,MepcoSchlenk Engineering College
Aerospace Science and Technology | Year: 2015

This paper discusses about a procedure to minimize the differences between analytical and experimental results of a space vehicle model by applying the finite element model updating procedure, in order to optimize the structures and processes before hardware is acquired. The material and geometric parameter set is formed for modal updating based on sensitivity analysis. Optimal values of experimental model parameters are determined using orthogonal array method. The updated finite element model produces more reliable results with the measured values. The method avoids irregularity and mismatch between the experimental and analytical model data sets, allowing flexible but automated model updating using neural network predicted parameters. The numerical results are compared with the experimental measurements and the divergences are measured by natural frequency difference and modal assurance condition. By training the neural network model based on the results and simultaneously adjusting the structural parameters, it is possible to reduce the difference between the measured and the predicted frequency values. © 2015 Elsevier Masson SAS. All rights reserved. Source


Vincent P.,MepcoSchlenk Engineering College
Journal of Structural Engineering (India) | Year: 2013

This study focuses on the full replacement of coarse aggregate with coconut shell, which is an agricultural waste and is a lightweight aggregate. Studies have been carried out on the strength characteristics, both compressive and tensile strengths of concrete, produced using crushed granular coconut shell as coarse aggregate with the replacement of cement by silica fume in the ratios of 0%, 5%, 10%, and 15% by weight of cement. Based on trial mix method a suitable mix proportion was arrived. Mix ratio of 1:1.58:0.6 and water cement ratio of 0.4 was used for this study. The air dry densities of coconut shell concrete ranged from 1940 - 1985 kg/m3 and these are within the limit of structural lightweight concrete. The 28 days compressive strength and splitting tensile strength of coconut shell concrete with silica fume are 22.66 N/mm 2 and 2.94 N/mm2 respectively which satisfy the minimum requirement of structural lightweight concrete as per ASTM C330. The investigation showed that the compressive strength and tensile strength of coconut shell concrete with silica fume give better result than coconut shell concrete without silica fume and an addition of 10% of silica fume gave optimum result. Source


Anuradha C.T.,MepcoSchlenk Engineering College | Saravanan R.,PandianSaraswathi Engineering College
International Journal of ChemTech Research | Year: 2015

In Madurai, there are 18,646 industries functioning, which resulted in contamination of ground water characteristics in the nearby area to analyses the soil contamination. The disturbed soil samples were collected from 6 locations (4 industrial areas, 1 residential area and 1 agricultural area) at 0.3m depth. The chemical properties of soil such as pH, Electrical conductivity, Organic matter, Total dissolved solids, Macro nutrients and Micro nutrients were determined. The geo co-ordinates of sampling location were obtained using GPS. Based on the concentration of chemical constituents present in soil in all the locations, a continuous surface has been created by various spatial interpolation techniques such as Inverse Distance Weighted, Spline, Kriging and trend using GIS technology. By cross validation technique the interpolation techniques for various chemical parameters are identified. In order to assess the degree of soil contamination the consistency index map is generated. This map can be used to classify the study area as very high to low contaminated soil. Thus the GIS approach of analyzing soil contamination provides permanent base for monitoring contaminated sites and also to understand the level and extent of contamination. From this project the comparative analysis among land uses can be made, so that we can prefer areas for various land usage and can recommend crops based on the report. In this project we will also do a comparative study between each interpolation technique with the manually tested value and find out the best interpolation technique. © 2015, Sphinx Knowledge House. All rights reserved. Source


Anand I.V.,MepcoSchlenk Engineering College | Kamaraj A.,MepcoSchlenk Engineering College
2014 International Conference on Information Communication and Embedded Systems, ICICES 2014 | Year: 2014

The circuits like Logic gates, Adders, Multipliers are the basic building block of the digital circuits. These combinational circuits can be designed by using the concepts of the reversible logic. The reversible logic is either a physically reversible or logically reversible. In this paper the combinational circuits are logically reversible. One of the applications of the reversible logic is Quantum Cellular Automata (QCA). QCA has attracted feature of extremely small feature size (at the molecular or even atomic scale) and its ultra-low power consumption, making it one candidate for replacing CMOS technology. Thus the design and realization of the Basic Logic gates and Combinational circuits like ripple carry adder, serial adder, multiplexer are done by using the concept of Quantum Cellular Automata. Also, the area and cost of the QCA system is reduced with the help of Coplanar architecture arrangement of cells. The paper is organized as follows; the section one gives the overall introduction about QCA, Clocking of QCA and Wires in QCA. Section two gives information about the basic logic gates. In Section three, design and Simulation of Combinational circuits like half adder, full adder, ripple carry adders and multipliers are discussed. At last the Comparison of Quantum cost of the above designs due to Coplanar architecture was elaborated. © 2014 IEEE. Source

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