University Visvesvaraya College of Engineering
Bangalore, India

University Visvesvaraya College of Engineering was established in the year 1917, under the name Government Engineering College, by Bharat Ratna Sir M. Visvesvaraya, and was affiliated to University of Mysore. It is the 5th Engineering College to be established in the country. This is one of the oldest technical institutions in the country, imparting technical education leading to B.E, M.E, B.Arch, M.Sc and Ph D degrees in the various disciplines of Engineering and Architecture. The college is approved by the AICTE and the Government of Karnataka. The departments are accredited with five A+ for three years by the National Board of Accreditation, New Delhi. UVCE has a NAAC rating of 5 Star for the past 4 consecutive years. The College is receiving Financial Aid under TEQIP program from the World Bank . Wikipedia.

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Raja K.B.,University Visvesvaraya College of Engineering
Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2016 | Year: 2016

An iris is unique physiological biometric trait compared to other biological traits to authenticate a person. In this paper we propose straight line fusion based iris recognition using Adaptive Histogram Equalization (AHE), Histogram Equalization (HE) and Discrete Wavelet Transform (DWT). The CASIA V.I iris database is considered and horizontal iris template is generated in the pre-processing. The iris template is enhanced using AHE and HE. The DWT is applied on enhanced image to generate low and high frequency components. The iris features are generated using novel concept of straight line fusion on low and high frequency components of DWT. The final features of iris database are compared with features of test iris template using Euclidian distance to compute performance parameters. It is observed that the values of performance parameters are better in the case of proposed algorithm compared to existing algorithms. © 2016 IEEE.

Andrade S.,University Visvesvaraya College of Engineering | Manjunatha Y.R.,University Visvesvaraya College of Engineering
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

The paper deals with the implementation of a Multi-level inverter which is based on cascaded half-bridge, producing a 31 level output with high power quality. This paper primarily focuses on generating high level inverter output with optimal number of switches. Fundamental frequency switching method is adapted to trigger the MOSFETs for output voltage level control. Level generation circuit produces only positive level at its output. A nearly sinusoidal waveform for voltage at output is generated due to 31 levels of output which will in turn produce an almost sinusoidal current waveform without using filters. The applied control strategy exhibits optimal performance during steady and transient state. MOSFET control is achieved using look-up table approach and H-bridge circuit is used to generate polarities. Comparisons of various reduce device count Multi level inverter is carried out. Analytical results verification is done by using MATLAB. © 2016 IEEE.

Vinay K.,University Visvesvaraya College of Engineering | Dilip Kumar S.M.,University Visvesvaraya College of Engineering
2016 IEEE Annual India Conference, INDICON 2016 | Year: 2016

Cloud computing is an ideal platform for scientists to realize large-scale deadline constrained Scientific Workflows (SWf), since it often require hours to complete its execution. Efficient resource provisioning and task scheduling of SWf play a vital role in cloud computing. Moreover, mapping of computing resources and precedence constrained task's of SWf to meet user specified deadline with minimum execution cost is crucial. Therefore, an efficient auto-scaling mechanism is extremely essential. In this paper, a task scheduling strategy, auto-scaling architecture and auto-scaling method for SWf are proposed, that guarantees the execution of different SWf within deadline in a cloud environment. Slot time and idle-time of the VM, and sub-deadline of the SWf tasks is considered to achieve the objective. Experiments include two well known SWf, namely, Epigenome and Cybershake of different dependencies and data file sizes. We evaluate our approach by analysing failure of tasks at different intervals of deadline, makespan and total cost incurred to execute SWf of different workflow sizes. Simulation results proved that the proposed auto-scaling method not only reduces total number of failure tasks, but also minimizes makespan and total execution cost of SWf. © 2016 IEEE.

Sadashiv N.,Acharya Institute of Technology | Kumar S.M.D.,University Visvesvaraya College of Engineering
ICCSE 2011 - 6th International Conference on Computer Science and Education, Final Program and Proceedings | Year: 2011

Cloud computing is rapidly growing as an alternative to conventional computing. However, it is based on models like cluster computing, distributed computing, utility computing and grid computing in general. This paper presents an end-to-end comparison between Cluster Computing, Grid Computing and Cloud Computing, along with the challenges they face. This could help in better understanding these models and to know how they differ from its related concepts, all in one go. It also discusses the ongoing projects and different applications that use these computing models as a platform for execution. An insight into some of the tools which can be used in the three computing models to design and develop applications is given. This could help in bringing out the innovative ideas in the field and can be explored to the needs in the computing world. © 2011 IEEE.

Suresha C.N.,B T L Institute Of Technology | Rajaprakash B.M.,University Visvesvaraya College of Engineering | Upadhya S.,University Visvesvaraya College of Engineering
Materials and Manufacturing Processes | Year: 2011

Friction stir welding (FSW) has evolved into a process focused on joining of arc-weldable (5xxx and 6xxx) and which are difficult to weld (2xxx and 7xxx) aluminium alloys. The method described in this article for the prediction of tensile properties and optimization can eliminate the need for performing experiments on the basis of conventional trial and error method. The present study is aimed to identify the most influencing significant parameter and percentage contribution of each parameter on tensile strength of friction stir welded AA 7075-T6 aluminium joints by conducting minimum number of experiments using Taguchi orthogonal array. In this study, tool pin profiles like square head and conical head are used. Signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to find the contribution of the main welding parameters like tool rotational speed, weld traversing speed, and plunge depth on tensile strength of the welded joint. Confirmation experiments were conducted to validate the estimated value of tensile strength. It has been also observed that in both the tool profiles, the tool rotational speed exhibits more influence on tensile strength than weld traversing speed (welding speed) and plunge depth, and that the tool having conical profile results in better joint efficiency than the tool having square profile. Copyright © Taylor & Francis Group, LLC.

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.

Vijayasimha Reddy B.G.,Vemana Institute of Technology | Sharma K.V.,University Visvesvaraya College of Engineering | Yella Reddy T.,Vemana Institute of Technology
Materials and Design | Year: 2014

The response and energy absorption capacity of cellular sandwich panels that comprises of silk-cotton wood skins and aluminum honeycomb core are studied under quasi-static and low velocity impact loading. Two types of sandwich panels were constructed. The Type-I sandwich panel contains the silk-cotton wood plates (face plates) with their grains oriented to the direction of loading axis and in the case of Type-II sandwich panel, the wood grains were oriented transverse to the loading axis. In both of the above cases, aluminum honeycomb core had its cell axis parallel to the loading direction. The macro-deformation behavior of these panels is studied under quasi-static loading and their energy absorption capacity quantified. A series of low velocity impact tests were conducted and the dynamic data are discussed. The results are then compared with those of quasi-static experiments. It is observed that the energy absorption capacity of cellular sandwich panels increases under dynamic loading when compared with the quasi-static loading conditions. The Type-I sandwich panels tested in this study are found to be the better impact energy absorbers for low velocity impact applications. © 2014 Elsevier Ltd.

Suma S.A.,University Visvesvaraya College of Engineering | Gurumurthy K.S.,University Visvesvaraya College of Engineering
Journal of Next Generation Information Technology | Year: 2010

A modified version of normalized least mean square (NLMS) algorithm that achieves faster convergence in time domain with a marginal increment in implementation complexity than the existing one is proposed. Variations on the Normalized LMS (NLMS) algorithm have been made to improve convergence rate, Signal to Noise Ratio (SNR) and Steady state characteristics for Single talk and Double talk detection, Sub band Echo cancellation and Acoustic echo cancellation. The echo canceller is intended to cancel wireline echo from the PSTN due to the 2-to-4 wire hybrid conversion impedance mismatch. The echo canceller will also cope with acoustic echo originating from the wireline phone as well as analog cellular hands-free calls in the near-end path. Traditionally, speech enhancement techniques in VOIP or mobile networks are done in the transcoding unit operating on the uncoded signal. This means that the signal coming from the mobile terminals for example has to be decoded, enhanced and encoded again; these operations obviously introduce delays other than being computationally intensive and particularly prone to adding further quantization noise. Hence the need to design a echo canceller that offers a better convergence rate and Steady state characteristics.

Ezhil Vannan S.,University Visvesvaraya College of Engineering | Paul Vizhian S.,University Visvesvaraya College of Engineering
Jordan Journal of Mechanical and Industrial Engineering | Year: 2014

The Objective of the present paper is to investigate the effect of electroless coating parameters, such as Sensitization time (A), Activation time (B) and Metallization time (C), on the coating morphology of the basalt short fiber and the optimization of the coating process parameters based on L27 Taguchi orthogonal design. Coated and non-coated basalt short fiber, typically used with 7075 Aluminium alloy as reinforcement, is studied. The effect of coating the short basalt fiber with copper has proved beneficial to interfacial bonding (wettability) between the reinforcement and the matrix. The interface between the matrix and the reinforcement plays a crucial role in determining the properties of metal matrix composites (MMCs). An L27 array was used to accommodate the three levels of factors as well as their interaction effects. From the Taguchi methodology, the optimal combinations for coating parameters were found to be A1B3C3 (i.e., 5 min. sensitization time, 15 min. activation time and 3 min. for metallization time). In addition, the interaction between pH value and the coating time and that between the coating time and the temperature, influence the coating parameters significantly. Furthermore, a statistical analysis of variance reveals that the metallization time has the highest influence followed by the activation time and the sensitization time. Finally, confirmation tests were carried out to verify the experimental results, Scanning Electron Microscopic (SEM)&Energy Dispersive Spectroscope (EDS) studies were carried out on basalt fiber. © 2014 Jordan Journal of Mechanical and Industrial Engineering.

Rajashekar R.,University Visvesvaraya College of Engineering | Rajaprakash B.M.,University Visvesvaraya College of Engineering
Journal of Materials Processing Technology | Year: 2016

The surface texture of friction stir weld is related to internal structure of weld. The statistical image parameters along good and defect weld regions are quantitatively evaluated for quality from the weld bead images, which are processed and analyzed using machine vision technique and X-ray radiography. The weld strength obtained along the weld regions showing similar variations in Acoustic Emission (AE) data, which was acquired during welding and image data of the weld bead are analyzed to assess the weld quality. The combined model developed using limiting values of image data and AE data along different regions of weld evaluate the weld quality more reliably. © 2015 Elsevier B.V. All rights reserved.

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