A Survey on Sensor’s Drift Counteraction Using Dynamic Pattern Recognition System
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
In past years, numerous electronic nose (e-nose) evelopments have been published describing analyses of solid-, liquid- or gaseous media in microbiological-environmental-, gricultural- or medical applications. However, little has been reported about complex methodological pitfalls that might be ssociated with commercially available e-nose technology. As a novel bionic analytical technique, an electronic nose, nspired by the mechanism of the biological olfactory system and integrated with modern sensing technology, electronic echnology and pattern recognition technology, has been widely used in many areas. Moreover, recent basic research findings n biological olfaction combined with computational euroscience promote its development both in methodology and application Our aim is to develop pattern recognition software that is esponsible for interpreting the output from the gas sensors in the real environment where both the sensors and the nvironment are likely to drift.
Authors and Affiliations
Tapsi Garg , Dr. Rabins Porwal
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