A Survey on Sensor's Drift Counteraction Using Dynamic Pattern Recognition System
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ABSTRACT:
In past years, numerous electronic nose (e-nose) developments have been published describing analyses of
solid-, liquid- or gaseous media in microbiological-environmental-, agricultural- or medical applications.
However, little has been reported about complex methodological pitfalls that might be associated with
commercially available e-nose technology.
As a novel bionic analytical technique, an electronic nose, inspired by the mechanism of the biological
olfactory system and integrated with modern sensing technology, electronic technology and pattern recognition
technology, has been widely used in many areas. Moreover, recent basic research findings in biological
olfaction combined with computational neuroscience promote its development both in methodology and
application
Our aim is to develop pattern recognition software that is responsible for interpreting the output from the gas
sensors in the real environment where both the sensors and the environment are likely to drift.
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