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Articles by V. Palanisamy
Total Records ( 10 ) for V. Palanisamy
  J. Sundararajan , V. Palanisamy and Mandyam Sandeep
  In this study, we present a novel framework for blood glucose level measurement using a combination of the HbA1c test and the stable, accurate Photo Acoustic methods to get an absolutely consistent and precise, non-invasive technique. The setup uses a pulsed laser diode as a source rather than the typical Nd: YAG laser, since it gives a possibility for variable input wavelength pulses. The detector has a double ring sensor as the main module. It is based on the piezoelectric detection. The two ring sensor is used since it has a small opening angle. The detector setup used in this application consists of a ring detector that includes two double ring sensors that are attached to the ring shaped module that can be worn around the finger. The major aim is to detect the photo acoustic signals from the glycated hemoglobin with the least possible error. The proposed monitoring system is designed with extreme consideration to the precision and the compatibility with the other computing devices. The results obtained in this research have been studied and analyzed by comparing these with the results with the in vitro techniques like the HPLC. The comparison between the two results has been plotted and it shows a least error. The results also show a positive drive for using this concept as a basis for future extension in quantifying the other blood components.
  P. Tamije Selvy , V. Palanisamy and M. Sri Radhai
  Image segmentation is an indispensible part of the visualization of human tissues during the analysis of Magnetic Resonance Imaging (MRI). MRI is an advanced medical imaging technique which provides rich information for detecting Cerebrospinal Fluid (CSF) in brain images. The changes in the CSF protein level forms abnormal brain deposits strongly linked to variety of neurological diseases. The traditional clustering methods yield more false positives. The proposed system encompasses the following steps, Pre-Processing the MRI brain images using Contrast Limited Adaptive Histogram Equalization, Clustering by Fuzzy C Means (FCM), Total Variation FCM (TVFCM), Anisotropic Diffused TVFCM (ADTVFCM), Optimizing the clustering techniques using Particle Swarm Optimization (PSO) (FCM-PSO, TVFCM-PSO and ADTVFCM-PSO). The clustering methods provide only local optimal solution. In order to achieve global optimal solution, the clustering methods are further optimized using PSO. The performance of the optimized clustering methods is measured using defined set of Simulated MS Lesion Brain database. The optimized clustering methods finds the CSF present in MRI brain images with 98% of accuracy, 92% of sensitivity and 97% of specificity.
  P. Tamijeselvy , V. Palanisamy and S. Elakkiya
  Corpus callosum is a highly visible structure in brain imaging whose function is to connect the left and right hemisphere of the brain. Epilepsy is the sudden alterations in human behavior caused by an electrical discharge from the brain. Such electrical activity that starts from one side of the brain spread to the other side through the corpus callosum. Epilepsy occurs in 2% of the general population and it is the oldest known brain disorder. The traditional classification methods have less average prediction accuracy of 84.15% in diagnosing epilepsy. The proposed technique includes the improved classification approach for the diagnosis of epilepsy. The technique includes the following phases: pre-processing the 2D MR Brain Image using Threshold Interval Method and Min.-Max. Normalization Segmentation of brain image using multiscale segmentation method to obtain the segments of corpus callosum. Multiscale segmentation proves to be better in curvature segmentation with less execution time and 91% of accuracy based on entropy shape features such as corpus callosum bending angle, Genu thickness and Intelligent Quotient (IQ) are extracted from the segmented corpus callosum diagnosis of epilepsy using Case Based Reasoning (CBR) and genetic classification. The performance of the proposed optimized CBR classification reduces the false positive rate. The CBR classification model results in 96.7% of prediction accuracy and the optimized classification approach results in 97.3% of prediction accuracy.
  M. Sakthivel and V. Palanisamy
  The nodes in mobile ad hoc networks are highly power dependent. Therefore, energy consumption serves as an important metric. In this study, researchers proposed technique that includes energy aspects in the routing protocol, Enhanced Optimized Link State Routing (EOLSR). On implementing few modifications to the OLSR, researchers aim at improving the life time of the node and performance of the network under different CBR intervals. In addition, the modified MPR selection plays an important role in making the EOLSR an energy aware and efficient routing protocol. Researchers finally showed that tuning the control message intervals have a greater enhancement on the performance and life time of nodes. For the dynamic network, it is observed that there is a throughput gain of about 20-35% showing better performance than the default OLSR.
  M. Ramakrishna and V. Palanisamy
  A Mobile Ad hoc Network (MANET) is a self-configuring infrastructure less network of mobile devices connected by wireless. The most challenge in MANETs is the mobile infrastructure in which nodes can join and leave easily with dynamics requests without a static path of routing. And also energy efficient routing is most important because each node has its own battery power which decides the life time of a node. Failure of one node may affect the entire network. If a node runs out of energy the probability of network partitioning will be increased. Since, every mobile node has limited power supply, energy depletion has become one of the main threats to the lifetime of the ad hoc network. By proposing an energy saving protocol known as Energy Efficient Maximum Lifetime Adhoc Routing in AODV Routing (EEMLAR) which concentrates on increasing network life time by integrating the advantages of transmission power control approach and load sharing approach. This contradicts the ‘increment in life time of the network’ and also may affect other existing routes. In this study, researchers propose a new route discovery mechanism which considers the presence of the node in other routes and its effect on its lifetime. The proposed protocol ensures route with maximum life time and also maximizes its life span.
  Mekala Ramesh , V. Palanisamy , B. Gopinath and R. Thangavel
  The rapid growth of remote sensing applications needs an effective and standardized image compression technique. The practices based on fractals results better in the field of image understanding and visualization of high complexity data.The spiral architecture based on hexagonal structure to represent digital images is chosen over a square structure due to the uniformly connected and close-packed form, greater angular resolution, higher sampling efficiency and better performance. Since there is no established hardware for hexagonal-based image capture and display, square to hexagonal image conversion is mandatory before hexagonal-based image processing. In this paper, general reason for choosing spiral architecture is introduced. Then, SA based image processing design on remote sensing images are arrived.
  M. Tamilarasi and V. Palanisamy
  The proposed algorithm presents a new coding technique based on image compression using contourlet transform used in different modalities of medical imaging. Recent reports on natural image compression have shown superior performance of contourlet transform, a new extension to the wavelet transform in two dimensions using nonseparable and directional filter banks. As far as medical images are concerned the diagnosis part (ROI) is of much important compared to other regions. Therefore, those portions are segmented from the whole image using Fuzzy C-Means (FCM) clustering technique. Contourlet transform is then applied to ROI portion which performs Laplacian Pyramid (LP) and directional filter banks. The region of less significance are compressed using discrete wavelet Transform and finally modified embedded zerotree wavelet algorithm is applied which uses six symbols instead of four symbols used in Shapiro’s EZW to the resultant image which shows better PSNR and high compression ratio. Finally Huffman coding is applied to get the compressed image.
  B.G. Geetha , V. Palanisamy , K. Duraiswamy and G. Singaravel
  Object oriented software development different from traditional development products. In object oriented software polymorphism, inheritance, dynamic binding are the important features. An inheritance property is the main feature. The compilers usually detect the syntax oriented errors only. Some of the property errors may be located in the product. Data flow testing is an appropriate testing method for testing program futures. This test analysis structure of the software and gives the flow of property. This study is designed to detect the hidden errors with reference to the inheritance property. Inputs of the tool are set of classes and packages. Outputs of the tools are hierarchies of the classes, methods, attributes and a set of inheritance related bugs like naked access, spaghetti inheritance bugs are automatically detected by the tool. The tool is developed as three major modules. They are code analysis, knowledge base preparation and bugs analysis. The code analysis module is designed to parse extract details from the code. The knowledge base preparation module is designed to prepare the knowledge base about the program details. The bug’s analysis module is designed to extract bugs related information from the database. It is a static testing. This study focused on Java programs.
  N. Karthikeyan , V. Palanisamy and K. Duraiswamy

Problem statement: Network wide broadcasting is an important function in Mobile Ad Hoc Networks (MANET), which attempts to deliver packets from a source node to all other nodes in the network. Broadcasting is often very useful for route discovery, naming, addressing and helping multicast operations in all kinds of networks. For designing broadcast protocols for ad hoc networks, one of the primary goal is to reduce the overhead (redundancy, contention and collision) while reaching all the nodes in network.
Approach: We had discussed many approaches in network wide broadcasting namely flooding, probability based, area based, network knowledge and cluster based broadcasting methods. The implementations and analysis will be made on Linux using the Network Simulator NS2.
Results: In this study, cluster based flooding algorithm had been proposed and its metrics were namely routing load and packet delivery ratio was compared with two common flooding algorithms namely simple flooding and probability based flooding.
Conclusion/Recommendations: It was concluded that simple flooding required each node to rebroadcast all packets. Probability based methods used some basic understanding of network topology, assigning a probability to node to rebroadcast. Cluster broadcasting algorithm for mobile ad hoc networks guaranteed to deliver messages from a source node to all nodes of network.

  K. Ganesan and V. Palanisamy
  In this study, researchers present the design, analysis and fabrication of MEMS based silicon micro-needles for insertion of fluid into the dermis and subcutaneous fat layer of human skin. Microelectromechanical Systems (MEMS) are uncovered to an assortment of liquid environments in applications such as chemical and biological sensors and microfluidic devices. In this study, the design and fabrication of a multi-material high-performance micropump is presented. The fabrication process using MEMS fabrication techniques, comprised of silicon and pyrex micromachining and bonding. Manufacturing steps such as three small bulk cylindrical piezoelectric material elements that are integrated with micro-fabricated Silicon-On-Insulator (SOI) and glass micromachined substrates using eutectic bonding and anodic bonding processes were successfully realized and provide a robust and scalable production technique for the micro pump. Exceptional flow rates of 0.1 mL min-1 with 1 W power consumption based on piezoelectric stack actuation achieved by appropriate design optimization. The analysis forecasts that the resultant stresses due to applied meandering and axial loads are in the safe range below the acquiesce strength of the material.
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