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Gopi K.,Sreenivasa Institute of Technology and Management Studies
Journal of Theoretical and Applied Information Technology | Year: 2014

The images play an important role in many of the applications. There are several techniques to compress these images in order to reduce the size of the image without any loss of data. This paper proposes an effective technique to compress the medical images using an improved ridgelet transform. This improved technique replaces the discrete wavelet transform in the ridgelet transform with the slantlet transform. This slantlet transform is an orthogonal DWT and has two zero moments with improved time localization. In this proposed technique the medical image is compressed using the improved ridgelet transform and then we apply thresholding and quantization methods to the ridgelet coefficients of the compressed medical image. Also the proposed technique requires only minimum number of coefficients for reconstructing the medical image without any loss of data. Comparison is made between the ridgelet transform and the proposed improved ridgelet transform in terms of SDME and this technique assures to provide higher signal to noise ratio. © 2005 - 2014 JATIT & LLS. All rights reserved. Source


Pembusani S.,Sreenivasa Institute of Technology and Management Studies | Gudipalli A.,Vellore Institute of Technology | Mahadevan S.,Sri Venkateswara University
Journal of Theoretical and Applied Information Technology | Year: 2014

Wireless sensor networks is one of the active research area now a days due to its vast applications in different fields such as defense, civilian and medical fields. One of the basic challenges in the design of Wireless Sensor Network (WSN) is maximizing their lifetime because of the sensors placement in remote places which is having batteries as power sources. To extend the WSN lifetime, energy management is the most important and critical aspect, for that we need different techniques in different aspects of WSN. This paper presents some methods which will be useful to minimize energy consumption in sensor networks and to increase lifetime of the WSN. Sensor nodes are using batteries as their power sources, effective and efficient utilization of these power sources is essential in order to use sensor networks for longer period hence it is required to reduce data transfer rate inside sensor networks, reduce amount of data that required to send to base station. For this, data aggregation methods are useful for aggregating data in an effective energy efficient manner so that network lifetime will enhance. In most applications once WSN deployed, it should continue to work for a long period of time, without the maintenance of the nodes and the replacement of their energy sources. Each sensor node in the network consumes power in different stages like sensing data, processing data and transmitting/receiving. In all stages minimizing energy consumption is required. Therefore routing protocols designed which should minimize power consumption in every stage of WSN because of its effective function. © 2005 - 2014 JATIT & LLS. All rights reserved. Source


Hari Prabakaran P.,Sreenivasa Institute of Technology and Management Studies | Hemadri Reddy R.,Vellore Institute of Technology | Saravana R.,Madanapalle Institute of Technology and Science | Kavitha A.,Vellore Institute of Technology | Sreenadh S.,Sri Venkateswara University
Advances and Applications in Fluid Mechanics | Year: 2015

We study the MHD peristaltic motion of a Jeffrey fluid in a porous channel with the influence of compliant walls, heat and mass transfer under the assumptions of long wavelength and low Reynolds number. The analytical expressions for the stream function, velocity, temperature and concentration are obtained. The results for velocity, temperature and concentration obtained in the analysis are discussed through graphs for various physical parameters of interest. © 2015 Pushpa Publishing House, Allahabad, India. Source


Kiran S.R.,Sreenivasa Institute of Technology and Management Studies | Sairama T.,Sreenivasa Institute of Technology and Management Studies | Varadarajan S.,Sri Venkateswara University
International Review on Modelling and Simulations | Year: 2013

A servo system, sometimes also called as servomechanism, is a mechanical device that uses error-sensing negative feedback to correct the performance of a mechanism. A servo system is a well known control system that performs its controlling action through a plant, controller, and an actuator. Any machine or piece of equipment that has rotating parts contains one or more servo control systems for controlling the nonlinearities in the system. These mechanical devices usually come with undesirable nonlinearities. Hence, due to these nonlinearities the frequency domain system identification process in servo system seems to be a tough task. To overcome the problem, in the paper, an adaptive hybrid technique will be proposed. The proposed adaptive hybrid technique is combined with adaptive neural network and adaptive genetic algorithm. In the proposed adaptive hybrid technique, the input training dataset and the number of hidden layer of network is optimized by classical genetic algorithm. Then, the system parameters are optimized by the proposed adaptive genetic algorithm. The proposed adaptive hybrid technique is implemented in MATLAB working platform and the system identification performance is tested by using two testing system. Then, the adaptive hybrid technique is compared with classical system and conventional hybrid technique. © 2013 Praise Worthy Prize S.r.l. - All rights reserved. Source


Hari Prabakaran P.,Sreenivasa Institute of Technology and Management Studies | Hemadri Reddy R.,Vellore Institute of Technology | Sreenadh S.,Sri Venkateswara University | Saravana R.,Sreenivasa Institute of Technology and Management Studies | Kavitha A.,Vellore Institute of Technology
Advances and Applications in Fluid Mechanics | Year: 2013

In this paper, we study the peristaltic transport of a Bingham fluid in contact with a Newtonian fluid in an inclined channel. This model is useful to understand the peristaltic pumping of blood in inclined small vessels. The velocity field, the stream function and the pressure rise over one cycle of wavelength are obtained. The effect of angle of inclination on the pumping characteristics and the influence of yield stress on the shape of interface are discussed. © 2013 Pushpa Publishing House. Source

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