Syed Ammal Engineering College

Ramanathapuram, India

Syed Ammal Engineering College

Ramanathapuram, India
Time filter
Source Type

Karthikeyan S.,Syed Ammal Engineering College
Indian Journal of Geo-Marine Sciences | Year: 2017

In this project the DI water is used as the working fluid in the three varying shape of the mini channel to investigate the heat transfer and the pressure drop. Various mini channels are straight mini channel, wavy mini channel and combined straight and wavy mini channel. In this project we compare the heat transfer and pressure drop of the three various mini channel, and the result obtained is wavy channel provides better than the other two channels. © 2017, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.

Dhanasekaran R.,Syed Ammal Engineering College
Journal of Imaging Science and Technology | Year: 2013

Segmentation of tumors in medical images is not only of high interest in serial treatment monitoring of 'disease burden' in oncologic imaging, but is also gaining popularity with the advance of image guided surgical approaches. Magnetic resonance images are widely used in the diagnosis of brain tumors. In this article, an automatic tumor detection and classification system is presented, which focuses on the structural study on both tumorous and normal tissue. The proposed system consists of the following steps: (i) pre-processing, (ii) feature extraction using an enhanced texton co-occurrence matrix and (iii) classification. In classification, a fuzzy logic based support vector machine is used to classify the experimental images into normal and abnormal. The obtained experimental results show that the proposed brain tumor detection approach is more robust than other neural network based classifiers, feed forward neural network and radial basis function, in terms of sensitivity, specificity and accuracy. © 2013 Society for Imaging Science and Technology.

Dhanasekaran R.,Syed Ammal Engineering College
International Journal of Imaging Systems and Technology | Year: 2013

Segmentation is the process of labeling objects in image data. It is a decisive phase in several medical imaging processing tasks for operation planning, radio therapy or diagnostics, and widely useful for studying the differences of healthy persons and persons with tumor. Magnetic Resonance Imaging brain tumor segmentation is a complicated task due to the variance and intricacy of tumors. In this article, a tumor segmentation scheme is presented, which focuses on the structural analysis on both tumorous and normal tissues. Our proposed method hits the target with the aid of the following major steps: (i) Tumor Region Location, (ii) Feature Extraction using Multi-texton Technique, and (iii) Final Classification using support vector machine (SVM). The results for the tumor detection are validated through evaluation metrics such as, sensitivity, specificity, and accuracy. The comparative analysis is carried out by Radial Basis Function neural network and Feed Forward Neural Network. The obtained results depict that the proposed Multi-texton histogram and support vector machine based brain tumor detection approach is more robust than the other classifiers in terms of sensitivity, specificity, and accuracy. Copyright © 2013 Wiley Periodicals, Inc.

Dhanasekaran R.,Syed Ammal Engineering College
International Journal of Imaging Systems and Technology | Year: 2014

Magnetic resonance image (MRI) segmentation refers to a process of assigning labels to set of pixels or multiple regions. It plays a major role in the field of biomedical applications as it is widely used by the radiologists to segment the medical images input into meaningful regions. In recent years, various brain tumor detection techniques are presented in the literature. In this article, we have developed an approach to brain tumor detection and severity analysis is done using the various measures. The proposed approach comprises of preprocessing, segmentation, feature extraction, and classification. In preprocessing steps, we need to perform skull stripping and then, anisotropic filtering is applied to make image suitable for extracting features. In feature extraction, we have modified the multi-texton histogram (MTH) technique to improve the feature extraction. In the classification stage, the hybrid kernel is designed and applied to training of support vector machine to perform automatic detection of tumor region in MRI images. For comparison analysis, our proposed approach is compared with the existing works using K-cross fold validation method. From the results, we can conclude that the modified multi-texton histogram with non-linear kernels has shown the accuracy of 86% but the MTH with non-linear kernels shows the accuracy of 83.8%. Copyright © 2014 Wiley Periodicals, Inc.

Rajendran A.,RVS College of Engineering and Technology | Dhanasekaran R.,Syed Ammal Engineering College
Procedia Engineering | Year: 2012

Deformable models are extensively used for medical image segmentation, particularly to locate tumor boundaries in brain tumor MRI images. Problems associated with initialization and poor convergence to boundary concavities, however, has limited their usefulness. As result of that they tend to be attracted towards wrong image features. In this paper, we propose a method that combine region based fuzzy clustering and deformable model for segmenting tumor region on MRI images. Region based fuzzy clustering is used for initial segmentation of tumor then result of this is used to provide initial contour for deformable model, which then determines the final contour for exact tumor boundary for final segmentation using gradient vector field as a external force field. The evaluation result with tumor MRI images shows that our method is more accurate and robust for brain tumor segmentation.

Senthil Rajan A.,Mohamed Sathak Polytechnic Kilakarai | Raja K.,Anna University | Marimuthu P.,Syed Ammal Engineering College
Energy Conversion and Management | Year: 2014

In this field a multi basin solar still is, used to heighten the productivity. The concept of integrating the multi basin still with biomass heat source is introduced in this research area. In the multi basin still heat exchanger is placed at the bottom end of the watershed region. The heat exchanger is connected to the biomass boiler heat source to create heat energy. This system increases the water temperature in the sword and also increases the productivity in the blade. The upper watershed is separated into small stepped basins. So the flat plate collector and stepped basin are used to increase the turnout in this work. The heat from lower basin is used by the upper basin for desalination. Experiments are conducted with various water depths. In this work the solar still behaves like a capacitor. A conventional still is fabricated and run parallel with the experimental setup for comparison. Sensible heat storage materials such as cement blocks, sand, glass eggs are added to the tail end and top basins to increase water temperature. Latent heat storage materials such as water, wax are introduced in the material body of small pellets to increase productivity. Biomass such as wood, wood wastes, palm wastes is tried in this workplace. A higher productivity is obtained for sensible storage materials when compared to latent heat storage. Theoretical analysis is performed by using RSM (response surface methodology) well agrees with experimental values. The efficiency of the system is compared with conventional still. Experiments are conducted in once flow mode, continuous stream mode and solar modes. Output from RSM are compared with experimental values for error analysis. © 2014 Elsevier Ltd. All rights reserved.

Periyasamy M.,Syed Ammal Engineering College | Dhanasekaran R.,Syed Ammal Engineering College
International Conference on Communication and Signal Processing, ICCSP 2013 - Proceedings | Year: 2013

In health care industry, RFID technology gains more attention due to the effective tracing of valuable medical equipments, devices and more importantly ensures patient safety. The expenditure incurred for RFID implementation in healthcare is progressively increasing. RFID technology can also be helpful for managing patient's medication, drug delivery, medical process, drug counterfeiting and monitoring of blood samples using temperature sensitive RFID tags. Different RFID tags were used in the health care industry as recommended by FDA and European Telecommunications Standard Institute. The Electromagnetic radiation from RFID tags and its readers may cause interference to the effective functioning of the medical equipment. The nature of interference caused depends on tag type, the distance between reader and medical device, the operating frequency and maximum power emission by the reader. Several literatures enumerated the factual data about implementation of RFID in different hospitals and also elaborated the method of EMI testing. The results of different literatures suggest that RFID can be implemented in health care industry with necessary precautionary measures being taken. This paper reviews the results of various research work undertaken on RFID implementation and their EMI effects in health care industry. © 2013 IEEE.

Karthikeyan J.,Velammal College of Engineering and Technology | Dhana Sekaran R.,Syed Ammal Engineering College
International Journal of Electrical Power and Energy Systems | Year: 2011

The objective of the paper is to build a simple current controlled modulation technique for brushless dc motors. In electric traction and most other applications, a wide range of speed and torque control of the electric motor is required. The dc machine fulfills these requirements, but it requires constant maintenance. In the brushless permanent magnet motors, they do not have brushes and so there will be lesser maintenance. Brushless dc motors are widely used in applications which require wide range of speed and torque control because of its low inertia, fast response, high reliability and less maintenance. This current controlled technique is based on the generation of quasi-square wave currents using only one controller for the three phases. The current control strategy uses a triangular carrier for the power transistors which is simpler and more accurate than any other options. The advantages of this technique are: (a) The stator currents are completely characterized by their maximum amplitude. (b) The three phases are controlled with the same dc component, and then the phase currents are kept at exactly the same magnitude Imax. (c) The dc link current measurement is not required. (d) Phase currents are kept balanced and phase over currents are eliminated. © 2011 Elsevier Ltd. All rights reserved.

Devi T.M.,Syed Ammal Engineering College
IC-GET 2015 - Proceedings of 2015 Online International Conference on Green Engineering and Technologies | Year: 2015

Web services are modular, self-describing, self-contained, platform-independent software components that can be published by service providers over the Internet. Web service composition (WSC) is the task of combining a chain of connected single services together to create a more complex and value-added composite service. For those web services providing the same functionality, quality of service (QoS) has been mostly applied to represent their nonfunctional properties and differentiate them for service composition, these approaches do not guarantee finding a solution satisfying the global QoS constraints for a composition task, even if there exists one under a different workflow. In this paper, we propose and validate DoWSS, a doubly weighted algorithm for service traffic shaping. We show via simulation that DoWSS possesses several advantages: It eliminates the approximation issues, prevents starvation, and contains the rapid credit consumption issue in existing credit-based approaches. © 2015 IEEE.

Karthikeyan S.,Syed Ammal Engineering College
Energy Sources, Part A: Recovery, Utilization and Environmental Effects | Year: 2016

In this study, grape seed oil was transesterified with methanol using sodium hydroxide as a catalyst to obtain grape seed oil methyl ester (GSOME). It was basically identified through Fourier transform infrared (FTIR) spectrum. The blends such as B10, B15, B20, and D100 were tested in a compression ignition diesel engine. The fuel properties were determined using American Society of Testing and Materials (ASTM) and the engine emission parameters were analyzed for those test fuels for different load at constant engine speed of 1,500 rpm. The experimental results show that all the blends provided significant reductions in NOx than D100. © 2016 Taylor & Francis Group, LLC.

Loading Syed Ammal Engineering College collaborators
Loading Syed Ammal Engineering College collaborators