Abstract
As is known to all, network coding has a byte limit. So when the chemical formula of odors is applied to the digital network coding, keep the number of parameters to a minimum for meeting the requirements of network coding byte limitation, less is better. The main purpose of this paper is to reduce the number of chemical compositions, namely the process of identifying “primary odor”. The primary odors are emitted by the same 6-10 key chemical components of two different selected odors, which can affect the human olfactory senses to judge the class of odor identification. Testing the primary odors of the rational proportion under the chemical formula of two different odors diffused by two selected fruits by the electronic nose, the relationship between the primary odors in different composition ratio and the corresponding fruit smells has been investigated by Principal Component Analysis (PCA) according to the comparison of different sensors response. The results showed that after the feature extraction, two groups of samples have been classified as the homologous original fruit. Thus, it is feasible that simplified chemical formula is obtained based on primary odors, which makes reducing the number of parameters in network transmission possible.
Paper version not known (
Free)
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
