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Lilly Beaulah H.,Salem College | Sumathi S.,Mahendra Engineering College | Samson Ravindran R.,Mahendra Group of Institutions
International Journal of Applied Engineering Research | Year: 2015

Telemedicine technology provides a solution that has the potential to dramatically develop access to quality medical care for diagnosing or treatment in the overseas. Telemedicine not only immediately enhances access to medical diagnosis and treatment, but it also helps to build and sustain the nation‟s healthcare capacity through sharing of expertise. Biomedical in Telemedicine could enable people in place with greater dignity, safety and independence, and help them manage health care costs without compromising quality of care. Sensor networks could also offer greater peace of mind to caregivers and family members, many of whom struggle to provide around-the-clock care. Network Management ensures that high availability and fast network speeds are being met, or can alert staff to developing issues before they affect the business. The cost of having no or ineffective network management can spell disaster for an organization. Prolonged or frequent network downtime can result in loss of reputation, productivity, revenue or even a decrease in financial performance. The proposed system provides the efficient and convenient methods for patients and doctors to communicate with each other and allows patients to send their medical data/image through the Wireless Sensor Network. It provides a circumstance for "Case Diagnosis" and "Case Consultation" on the remote situation. This System Build computer-based patient record and other electronic information systems that provide relatively easy and fast access to large databases and that permit the application of powerful statistical methods for analyzing and displaying those data. It Formulates strategies for proving information to patients, clinicians, and others in ways that promote informed decisions and stimulate desired changes in behaviors and outcomes. It potentially allows easier access to more information about a patient than the user either requests or needs. © Research India Publications. Source

Sumathi S.,Mahendra Engineering College | Ravindran R.S.,Mahendra Group of Institutions
International Review on Computers and Software | Year: 2014

Mammography is radiological technique alone, which is used to image breast tissues as it was known for the past two decades till 1966, meaningful solutions to reduce the pain making diagnosis and also suggested effective methods to detect breast carcinoma at the earliest possible time. Mammography is the leading method for breast imaging today. Here we will be arriving a methodology by taking two plain film (x-ray) mammography at an angle 45º / 90º between two and collect the details in digital form in a computer for segmentation and reconstruction. The application of Pseudocolouring with the help of Photoshop colour policies will use to separate the carcinoma and to apply various colours for the calcifications in gray scale for better perception and understanding, and improve the diagnostic quality. Because any human eye can easily differentiate the colours, the shape size and location of the occult carcinoma must easily detect. Also the 3D mammographic breast imaging techniques with the help of Pseudocolouring have potentials for both early cancer detection and diagnosis. © 2014 Praise Worthy Prize S.r.l. - All rights reserved. Source

Vetrivel A.,Anna University | Jerome J.,PSG Coolege of Technology | Malmurugan N.,Mahendra Group of Institutions
European Journal of Scientific Research | Year: 2012

Problem statement: This paper presents four simple mathematical models to build the voltage shape with the knowledge of few parameters and detects voltage sag and swells accurately. Approach: Fourier series, cubic polynomial, Rational functions and Sum of Sin functions are used in this paper to model the voltage profile. A new algorithm is developed to detect sag or swell in all the four models. Results: The voltage estimation due to cubic polynomial has more voltage error and then rational function. The sum of sine function and Fourier series functions does accurate voltage estimation. Errors due to various functions are also tabulated for one electrical cycle. Conclusion/Recommendations: The performance of each method has been compared with other to know the effectiveness of different models and their results are presented. © EuroJournals Publishing, Inc. 2012. Source

Malmurugan N.,Mahendra Group of Institutions
Engineering Applications of Artificial Intelligence | Year: 2014

Segmenting Foreground objects from a video sequence is a key processing and critical step in video analysis such as object detection and tracking. Several Foreground detection techniques and edge detectors have been developed till now but the problem is that it is very difficult to obtain an optimal foreground due to the interference from the factors like weather, light, shadow and clutter. Background subtraction is used in many of the applications, where the background noise appears at fixed places and also, when it is used for long image sequence, there may be more accumulated error in the foreground. Optical flow is the velocity field which warps one image into another (usually very similar) image where the background noise appears randomly. It covers long distance and the background noise due to brightness change is less which results in less accumulate error percentage. However, it cannot get rid of light influences which result in background noises. This paper proposes a new foreground detection approach to overcome these issues by combining the background subtraction algorithm and optical flow along with SMED (Separable Morphological Edge Detector) to reduce the background noises. SMED has robustness to light changing and capable of detecting even slight movement in the video sequence. The proposed work is highly accurate in detecting the moving objects in various scenarios such as fast moving objects, slow moving objects and even moving objects in dynamic scenes, where both the foreground and background changes. © 2013 Elsevier Ltd. All rights reserved. Source

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