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Nachiappan, Alamelu
- A Self-Powered AC to DC Converter for Low Voltage Energy Harvesting Applications
Abstract Views :192 |
PDF Views:2
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pillaichavady, Puducherry-605014, IN
1 Department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pillaichavady, Puducherry-605014, IN
Source
Programmable Device Circuits and Systems, Vol 4, No 8 (2012), Pagination: 400-406Abstract
In this paper, a new design methodology for low voltage electromagnetic energy harvesting systems consisting of a microgenerator and power processing circuit is introduced. The proposed converter consists of a boost converter in parallel with a buckâboost converter. The output DC bus is realized by using a single capacitor. The output capacitor is charged by the boost converter in the positive half cycle and by the buck-boost converter in the negative half cycle. Concerning the power efficiency, the effectiveness of the proposed converter is clarified by theoretical analysis. Furthermore, the validity of the circuit design is confirmed by simulations and analysis.Keywords
AC-DC Power Conversion, Boost Converter, Energy Harvesting, Low Power and Low Voltage.- An Automated Algorithm for Classification and Quantitative Characterization of Breast Cancer by Thermal Imaging
Abstract Views :235 |
PDF Views:2
Authors
Affiliations
1 Sathyabama University, Jeppiaar Nagar, Chennai-600 119, IN
2 Department of EEE, Pondicherry Engg. College, Pondicherry, IN
3 Department of ETCE, Sathyabama University, Jeppiaar Nagar, Chennai-600 119, IN
1 Sathyabama University, Jeppiaar Nagar, Chennai-600 119, IN
2 Department of EEE, Pondicherry Engg. College, Pondicherry, IN
3 Department of ETCE, Sathyabama University, Jeppiaar Nagar, Chennai-600 119, IN
Source
Digital Image Processing, Vol 3, No 15 (2011), Pagination: 930-934Abstract
Clinical infrared thermography, a non-contact, non-invasive, non-hazardous technique is accepted as a reliable diagnostic tool for detecting cancer even at the earlier stages of formation. Here, temperature variations are mapped into thermographs. Temperature distribution is uniform and symmetric for normal conditions. On the other hand, an abnormality is indicated by non- uniform and non-symmetric thermal patterns in a thermograph. Abnormality may be due to pain, swelling, Tuberculosis, Fibroadenoma or cancer. This paper proposes an automated technique for classification of cancer regions from fibroadenoma. Also cancer regions are extracted using thresholding and region growing techniques. In this paper, significance of wavelet based smoothing and cascaded wavelet based smoothing techniques in removing the undesirable regions is studied.Keywords
Breast Cancer, Fibroadenoma, Region Growing Thermographs, Thresholding, Wavelet.- A Survey of QOS Routing Protocols for Mobile AD HOC Networks
Abstract Views :303 |
PDF Views:168
Authors
Affiliations
1 Department of IT, Pondicherry Engineering College, IN
2 Department of EEE, Pondicherry Engineering College, IN
1 Department of IT, Pondicherry Engineering College, IN
2 Department of EEE, Pondicherry Engineering College, IN