A Pattern Recognition Framework for Embedded Sensor Electronics
Himanshu Mazumdar1, Agnel Amodia2
1Dr. Himashu S Mazumdar, Research and Developemnt Center, Dharmsinh Desai University, Nadiad (Gujarat), India.
2Mr. Agnel P Amodia, Research and Development Center, Dharmsinh Desai University, Nadiad (Gujarat), India.
Manuscript received on 18 April 2012 | Revised Manuscript received on 25 April 2012 | Manuscript published on 30 April 2012 | PP: 11-14 | Volume-1 Issue-1, April 2012 | Retrieval Number: A0111021112/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The recent developments in the area of high speed micro-electronics and computational intelligence has opened new opportunities in smart sensor design. In this paper a generic pattern recognition framework is presented for integrated sensor based system design. Two case studies are described for Rock-Image Classification and Pulse Shape Identification. Both applications use same framework that consist of pre-processing of sensor data, wavelet based data compression, feature extraction and neural net based feature classification. The rock identification combines multi-parameter analysis to improve the accuracy. The proposed system is tested using above two case studies for real time application. The average accuracy observed for pulse shape and rock type identification is 96% and 95% respectively. The system is applicable for similar sensor based embedded systems. The application is developed under a Planetary Exploration Technology Research project.
Keywords: Feature Extraction, Neural Net Based Classification, Pulse Shape Identification, Rock-Image Classification, Wavelet Based Data Compression
Scope of the Article: Classification