Fuzzy Logic based Odour Classification System in Electronic Nose
TLDR
A Sugeno based fuzzy logic classifier for the classification of gases has been presented and has been designed using the Fuzzy toolbox in MATLAB.Abstract:
In this paper, a Sugeno based fuzzy logic classifier for the classification of gases has been presented. The system employs an array of five gas sensors for sensing different gases. The sample space consists of eight gases. A database has been developed using experimentally collected data from the responses of the sensors. The classifier has been designed using the Fuzzy toolbox in MATLAB.read more
Citations
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Food freshness using electronic nose and its classification method: A review
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TL;DR: E-nose is discussed briefly about electronic nose, it’s principle of work and classification method and in order to classify food freshness.
Data mining techniques in food safety
Rajina R. Mohamed,Mohamad A Mohamed Razali Yaacob,Tengku Azahar Tengku Dir,Fiza Abdul Rahim,Abd Rasid Mamat +4 more
TL;DR: E-nose, it’s principle of work and classification method and in order to classify food freshness are discussed in this paper.
References
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Electronic noses and their applications
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Preparing Accurate Standard Gas Mixtures of Volatile Substances at Low Concentration Levels
Ahmet Uyanik,Nihat Tinkilic +1 more
TL;DR: In this paper, a simple approach for preparing standard gas mixtures of environmentally important volatile organic substances for gas chromatographic calibration is described, which allows students to prepare standard gas-phase mixtures at very low concentrations by direct injection of extremely small amounts into solution using a reasonable size microsyringe.
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Study of temperature modulated tin oxide gas sensor and identification of chemicals
R. Chutia,Manabendra Bhuyan +1 more
TL;DR: In this article, a study of metal oxide semiconductor (MOS) based gas sensor, operated in dynamic measurement for identification of gas, is presented, where the response of the sensors to the volatile organic compounds (VOC's) to the interrogating temperature signals are presented.