Rajalakshmi Institute of Technology

Chennai, India

Rajalakshmi Institute of Technology

Chennai, India
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Selvaraj V.,Rajalakshmi Institute of Technology | Srinivasan P.,Anna University
Biomedical Research (India) | Year: 2017

The microwave imaging system is one of the most attractive techniques for detecting a tumour embedded in the breast tissue using an electromagnetic signal. The effect of a radio frequency wave interaction between the electromagnetic signal and the breast tissue using an array or an antenna has been found highly remarkable and significant. This study focuses on the effect of the electromagnetic wave interaction between the transmitting device and the breast tissue. The ultra-wide band antenna radiates the breast tissue with an electromagnetic signal having a wide bandwidth of 4.284-13.628 GHz. The power absorbed and the Specific Absorption Rate (SAR) for average masses of 1 g and 10 g of the breast tissue are presented at varying frequency, distance and size of the tumour. It is found that the power absorbed and the SAR value of the tissue increase with the increase in the frequency and size of the tumour. On the other hand, power absorbed and the SAR value of the tissue decreases with the distance between the transmitter and the breast. An SAR for a mass of 1 g of the tissue can also detect the location of the tumour in the breast tissue. © 2017, Scientific Publishers of India. All rights reserved.

Kumar K.M.,PET Engineering College | Velayudham A.,Cape Institute of Technology | Kanthavel R.,Rajalakshmi Institute of Technology
Journal of Circuits, Systems and Computers | Year: 2017

The Road extraction from the remotely sensed imagery is highly realistic for the quick road updating in the Geographic Information System (GIS) data collection. The particle filter (PF) was earlier employed to track the road maps in satellite images. In our previous work, we have introduced an efficient Gauss–Hermite Kalman Filter with Locally Excitatory Globally Inhibitory Oscillator Networks (GHKF–LEGION)-based road extraction, even though it does not properly extract the road from the complex region. In order to recover the track of the road beyond obstacles, in this work, we proposed a novel hybrid multi-kernel partial least squares (PLS) with PF approach. Here, at first, we estimate the initial leader point of the road employing the K-means clustering technique. Subsequently, the PF traces a road till a stopping benchmark is satisfied. Thereafter, without finishing the process, the outcomes are furnished to the hybrid kernel PLS technique which attempts to locate the continuance of the road after several potential road blocks or to locate the entire feasible road branches which are on the other side of the road junction. The outcomes are offered for five satellite images. The experimental results show our proposed road tracking method is better compared to other existing works. © 2017 World Scientific Publishing Company

Uma Maheswari R.,Anna University | Umamaheswari R.,Rajalakshmi Institute of Technology
2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016 | Year: 2017

In Wind turbine condition monitoring systems, the vibration signal analysis is used as the effective tool for fault diagnosis. Gear transmission systems are complex and expensive among the drive train components. Faults developed in the gearbox will lead to unscheduled down time of wind turbine. Vibration signals are non stationary in nature and the usual spectral analysis tools are not sufficient for the effective fault diagnosis. In this paper, A novel joint time-frequency Wavelet synchrosqueezing transform (WSST) is proposed for the effective intrinsic modes extraction. WSST provides fine Time-Frequency resolution. To improve the performance of WSST towards noise sensitivity, Wavelet Denoising with soft thresholding is employed. The efficacy of the proposed methodology is tested with the NERL GRC Wind Turbine condition monitoring benchmark datasets. From the simulation results, it has been shown that the proposed method extracts the intrinsic mode functions with more precise time frequency resolution. © 2016 IEEE.

Senthil Kumar T.K.,Rajalakshmi Institute of Technology | Narasimhan G.,Anna University | Umamaheswari R.,Rajalakshmi Engineering College
International Review on Computers and Software | Year: 2014

Lung cancer has become one of the leading causes of cancer related death in both men as well as women which ranges for about 30% of cancer death occurring in the world. Medical image analysis is a complex task in which a human expert makes extensive use of the knowledge of anatomy and imaging techniques. Specially, the detection of the presence of lung nodules is challenging problem from a computer vision point of view. The early detection of the lung cancer can definitely improve the long term health of those people diagnosed with it. Evaluation of the variation of cardiac size from month to month by taking serial chest images remains crucial for the treatment of lung cancer. In this paper, we have proposed an efficient method for detecting the presence of the lung nodule with the help of CT images. The proposed method is carried out using three processes such as segmentation, classification and detection. Here we utilized clustering for classifying the lung images as normal or abnormal image. These methods helped to improve the early detection of the lung nodules. Our proposed method proved to be a highly efficient method for the detection of lung nodule with high rate of accuracy. © 2014 Praise Worthy Prize S.r.l. - All rights reserved.

Shanthi R.,Rajalakshmi Engineering College | Anandan S.S.,Rajalakshmi Institute of Technology | Ramalingam V.,Anna University
Thermal Science | Year: 2012

Nanofluids are colloidal mixtures of nanometric metallic or ceramic particles in a base fluid, such as water, ethylene glycol or oil. Nanofluids possess immense potential to enhance the heat transfer character of the original fluid due to improved thermal transport properties. In this article, a brief overview has been presented to address the unique features of nanofluids, such as their preparation, heat transfer mechanisms, conduction and convection heat transfer enhancement, etc. In addition, the article summarizes the experimental and theoretical work on pool boiling in nanofluids and their applications.

Shanthi S.,Rajalakshmi Institute of Technology | Ramani R.G.,Rajalakshmi Engineering College
IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012 | Year: 2012

Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. In this research work we applied data mining classification techniques to carry out gender based classification of which RndTree and C4.5 using AdaBoost Meta classifier gives high accurate results. The training dataset used for the research work is obtained from Fatality Analysis Reporting System (FARS) which is provided by the University of Alabama's Critical Analysis Reporting Environment (CARE) system. The results reveal that AdaBoost used with RndTree improvised the classifier's accuracy. © 2012 Pillay Engineering College.

Kumar S.P.,Rajalakshmi Institute of Technology | Pandithurai O.,Anna University
2013 International Conference on Information Communication and Embedded Systems, ICICES 2013 | Year: 2013

Sixth Sense technology is a technology with which a system could be trained to recognize and percept real world objects and react as desired. Sixth Sense technology bridges the gap between the physical world and the digital world, bringing intangible, digital information out into the tangible world, and allowing us to interact with this information via natural hand gestures. Sixth Sense technology is implemented in 'Sixth Sense/WUW (wear your world) using gesture recognition, augmented reality, computer vision and radio frequency identification. We have proposed that Sixth Sense technology could be integrated with voice recognition. Also bluetooth device and laser projectors could be used. © 2013 IEEE.

Anandan S.S.,Rajalakshmi Institute of Technology | Bhaskaran A.,Rajalakshmi Institute of Technology
International Journal of Exergy | Year: 2012

Thermo-economic analysis of Heat Pipe Heat Exchanger (HPHE) for waste heat recovery in thermal systems using the P1-P2 and NTU methods is presented. The optimum effectiveness of a HPHE is given as a polynomial equation, whereas the net savings and payback period are given in closed form to enable the HPHE designer to determine the optimised values directly. In addition to this, exergy analysis of HPHE for waste heat recovery in thermal systems is formulated. The variation of exergy effi ciency with respect to change in inlet temperature is also presented. © 2012 Inderscience Enterprises Ltd.

Ashok M.,Rajalakshmi Institute of Technology | Sathiyan S.,Rajalakshmi Institute of Technology
Communications in Computer and Information Science | Year: 2012

Now a days the power of distributed computing is explored the ventures of grid computing and cloud computing. Grid computing is used to solve any large scale scientific problems by integrating geographically distributed ideal resources. Cloud computing is the next generation of grid computing and also it is an on demand version of grid computing. Especially in grid computing, the research on identifying best resources is still on its way. In this paper, we are contributing a methodology to identify the best resources for computational grid. The proposed solution will focus and extract the trust of the resource with more accuracy. © 2012 Springer-Verlag.

Thirumalaiselvam B.,Presidency College at Chennai | Thirumalaiselvam B.,P.A. College | Kanagadurai R.,Presidency College at Chennai | Jayaraman D.,Presidency College at Chennai | Natarajan V.,Rajalakshmi Institute of Technology
Optical Materials | Year: 2014

Single crystals of 4-methyl benzene sulfonamide (4MBS) were successfully grown from aqueous solution by low temperature solution growth technique. The grown crystal was characterized by single crystal XRD and powder XRD methods to obtain the lattice parameters and the diffraction planes of the crystal. UV-vis-NIR absorption spectrum was used to measure the range of optical transmittance and optical band gap energy. The optical transmission range was measured as 250-1200 nm. FTIR spectral studies were carried out to identify the presence of functional groups in the grown crystal. The thermal behavior of the crystal was investigated from thermo gravimetric analysis (TGA) and differential scanning calorimetry (DSC) study. The absence of SHG was noticed by Kurtz and Perry powder technique. The third order NLO behavior of the material was confirmed by measuring the nonlinear optical properties using Z-scan technique and it was found that the crystal is capable of exhibiting saturation absorption and self-defocusing performance. Crown Copyright © 2014 Published by Elsevier B.V. All rights reserved.

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