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Chennai, India

Dhiravidachelvi E.,Satyabama University
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014

Recently, most of the people working in Medical field need a CAD system to investigate and analyze the diseases to provide appropriate treatment and prevent from diseases in the earlier stage itself In this paper an automatic Optic Disc detection for analyzing and diagnosing the disease level in the fundus images has been introduced The retina has the features like optic disc, macula, fovea, micro aneurysms, exudates. The optic disc is detected and removed, since it has the homogeneity with the abnormal feature like exudates. This CAD system helps the ophthalmologist to do further investigation and prior knowledge about the disease. The proposed approach contains a sequence of steps where the fundus image has been preprocessed by histogram equalization and the optic disc is detected by using background subtraction and contour detection method. © 2014 IEEE. Source


Subiramoniyan S.,Satyabama University
Research Journal of Applied Sciences, Engineering and Technology | Year: 2015

In this study, a simple PI controller is presented for regulation of the output voltage of the DC to DC fly back converter driven DC Servo motor with constant frequency. Here a new PI control algorithm implemented in FPGA has been proposed for optimizing the PI parameters using PSO and ABC optimization techniques. A comparison has been made between the two optimization algorithms across different load and voltage variations and their effectiveness in reduction of overshoot and settling time of fly back converter in DC Servo motor drive have been evaluated. © Maxwell Scientific Organization, 2015. Source


Bottu B.,Sathyabama University | Srilatha K.,Satyabama University
International Journal of Applied Engineering Research | Year: 2015

Accurate parenchymal lung tumor delineation with PET-CT can be problematic given the inherent tumor heterogeneity and proximity/involvement of extra-parenchymal tissue. In this proposed method, we propose a tumor delineation approach that is based on new tumor–Ground truth method models for a given image. The ground truth method givesmore efficient results compared to other methods. Then this method extends to segmentation, region based graph methods and other segmentation model is k-means algorithm is used. After the tumor detection part move on to classification part, this classification done by neural network based implementation has been used. The result computation is very fast the more efficiency. In background likelihood method not efficient compare other methods. The above model is processed in MATLAB tool and achieve high efficiency in the detection and classification model compared to previous one. © Research India Publications. Source


Dhiravidachelvi E.,Satyabama University | Rajamani V.,Veltech multi Technology Engineering college
Journal of Computer Science | Year: 2015

In recent years the medical profession has seen an ever increasing demand for diagnosis and a permanent cure for illnesses caused by climatic-changes, unwholesome food and environmental pollution. Also the appearances of hitherto unknown viral diseases have caused eye diseases, which have prompted surgeons to monitor the health of the eyes. Potential new therapies that may help in preserving sight in the growing population of diabetic patients into the 21st Century. Early detection of diseases affecting the eyes reduces the risk of permanent damage. Some of the serious conditions which warrant early diagnosis are: Glaucoma, floaters, macula degradation and diabetic retinopathy. In the early stages, a choice of treatment options exist, which dwindles as the disease spreads. A visual inspection of the optic disc, macula and the blood vessels of the eye requires to be done routinely. Diabetic patients run the risk of damage to retinal vessels, which are referred to as diabetic retinopathy. This may further be classified as: Non-proliferative diabetic retinopathy and proliferative diabetic retinopathy. In scientific literatures, feature extraction method has been reported for diagnosis and classification. In this study a systematic Decide, Detect, Determine and Do approach for analyzing diabetic retinopathy images has been taken up. The proposed approach gives a clearer picture of the abnormality, its type (NPDR or PDR), its status (viz., mild, moderate or severe) and finally the appropriate treatment. © 2015 The Dhiravidachelvi, E. and V. Rajamani. Source


Subiramoniyan S.,Satyabama University
International Journal of Applied Engineering Research | Year: 2014

The aim of this work is to design a speed controller for a DC Servo motor by selection of PI parameters using an advanced PI control algorithm implemented in FPGA that make use of Artificial Bee Colony Algorithm (ABC) and Cuckoo Search. A comparison between conventional tuning methods and optimization techniques of parameters for PI controller has been made and it is found that the proposed PI controller parameters adjusted by optimization technique is better than the conventional techniques. The PI control algorithm implemented in FPGA is subjected to various input and load variations and the corresponding output response in case of overshoot and settling time have been studied. © Research India Publications. Source

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