Artificial Nose For Detecting Disease
An Electronic / Artificial Noses is a system that uses the pattern of responses from an array of gas sensors to examine and identify a gaseous sample i.e. a system used for automated detection and classification of odors, vapors, and gases. It generally composed of a chemical sensing system (e.g., sensor array or spectrometer) and a pattern recognition system (e.g. artificial neural network). An electronic nose is a system developed for automated identification of microorganism and volatile chemicals for environmental and medical applications. The aim of our system is to produce methods of instrumental logic and software for detection disease in real life situations with the use of Artificial Neural Networks. Diversity and complexity of problems that people solve in this computer era, requires quick and easy-to-handle form of methods / tools. In this path, our system concentrates on detecting disease using hardware and a system integration model. The aim of our system is to develop a hardware that simulates human noses and capable of sending signal pattern to computer.
Keywords: Artificial Neural Networks, Student t-test, ANOVA, Back Propagation Algorithm, PCA - Principal Component Analysis
Mr Amuthan Arjunan
Lecturer – Information Technology, Department of Computer Science & Engineering And Information Technology, Pondicherry Univeristy
As a NSS Programme Officer, conducting awareness programs for the society needs using the college volunteers. Conducting camps such as Blood donation, Eye Check up, Tree plantation to the adopted village, Pillachivady, Pondicherry. Assisting the Head of the Department in preparing materials for course curriculum. Apart for the normal teaching assignments, working for the CENTAC (Centralised Admission System) functioning in the Pondicherry Engineering Campus for admitting students for Medicine, Engineering and LLB programs.