Dayakshini Sathish

Dayakshini Sathish
St. Joseph Engineering College · Department of E&C Engineering

BE. MTech. PhD.

About

16
Publications
2,908
Reads
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210
Citations
Additional affiliations
September 2004 - March 2016
St. Joseph Engineering College
Position
  • Professor (Assistant)

Publications

Publications (16)
Conference Paper
Diabetes Mellitus (DM) is a chronic condition, where the body is unable to control blood sugar levels. In this paper, a non-invasive method to classify diabetic and non-diabetic cases is discussed. The collection of blood samples from patients by puncturing their fingers causes discomfort, pain, and infection, which are serious drawbacks of commerc...
Article
Full-text available
Multicarrier modulation (MCM) based schemes have been a major contributing factor in revolutionizing cellular networks due to their ability to overcome fading. One of the popular scheme orthogonal frequency division multiple access (OFDMA), having been part of 4G, is also adapted as part of 5G enhanced mobile broadband (eMBB). Though it has several...
Article
Traffic monitoring is an essential component of smart city development in India. Indian cities face significant traffic congestion, which not only results in economic losses but also affects the quality of life of citizens and death of patients due to the late arrival to the hospitals. Therefore, smart traffic management systems have become a prior...
Article
Full-text available
Fifth-generation (5G) massive machine-type communication (mMTC) is expected to support the cellular adaptation of internet of things (IoT) applications for massive connectivity. Due to the massive access nature, IoT is prone to high interception probability and the use of conventional cryptographic techniques in these scenarios is not practical con...
Article
Mesenchymal stem cells (MSCs) differentiation toward cardiovascular lineage prediction using the global methylome profile will highlight its prospective utility in regenerative medicine. We examined the propensity prediction to cardiovascular lineage using 5-Aza, a well-known cardiac lineage inducer. The customized 180 K microarray was performed an...
Article
Full-text available
Breast thermography is a non-invasive imaging technique used for early detection of breast cancer based on temperatures. Temperature matrix of breast provides minute variations in temperatures, which is significant in early detection of breast cancer. The minimum, maximum temperatures and the their range may be different for each breast thermogram....
Article
Mortality rate of breast cancer can be reduced by detecting breast cancer in its early stage. Breast thermography plays an important role in early detection of breast cancer, as it can detect tumorswhen the physiological changes start in the breastprior to structural changes. Computer Aided Detection (CAD) systems improve the diagnostic accuracy by...
Article
Breast cancer is the leading cancer in women worldwide. Early detection can reduce the mortality rate of breast cancer. Breast thermography is a non-invasive and simple imaging technique used for early detection of breast cancer. Feature extraction and selection of appropriate features play a major role in computer-aided detection of breast cancer...
Article
Full-text available
In this article, we present a new approach for breast thermogram image analysis by developing a fully automatic segmentation of right and left breast for asymmetry analysis, using shape features of the breast and Polynomial curve fitting. Segmentation results are validated with their respective Ground Truths. Histogram and grey level co-occurrence...
Article
In this article, a study of various medical imaging modalities and survey of computer aided detection (CAD) approaches used for the detection of breast cancer are presented. Early breast cancer detection, is important as it can increase the rate of diagnosis, cure and survival of the affected women. Medical imaging techniques can detect early signs...
Conference Paper
In this paper, we present a microcontroller based system to automatically identify the serial numbers of the Indian currency. The system utilizes several image processing techniques and algorithms. The system is accurate, fast and reliable and low cost in comparison with currently available systems.

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