Stella K.,Sree Sastha Institute of Engineering and Technology |
Ganesh E.N.,Rajalakshmi Institute of Technology
International Journal of Applied Engineering Research | Year: 2015
Wireless Sensor Network (WSN) is usually composed of large number of sensor nodes. These sensor nodes are often densely deployed in a sensor field. Due to limited scarce resources, it is not possible to use complex secure routing protocols in WSNs. In SEDR (Secure and Energy Efficient Disjoint multi path Routing protocol), sliced packet shares are delivered randomly. When a Regional Dispersive Relay Node receives shares from more than one source nodes, Regional Dispersive node has to find Identical Hop Relay nodes for each share. For each share, new route discovery process was established. So, in SEDR, route selection process becomes more complex and there is a possibility of collisions. In this paper, we propose an Arc length and residual energy based Multi path Secure Routing protocol (ALRMSR) for WSNs. The proposed arc length based algorithm increases the network performance and life time and also reduces the message overhead. © Research India Publications.
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.
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.
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.
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.