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E-Nose System by Using Neural Networks
Neurocomputing, 2014This paper considers a new construction of an electronic nose (E-nose) system based on a neural network. The neural network used here is a competitive neural network by the learning vector quantisation (LVQ). Various odors are measured with an array of many metal oxide gas sensors.
Sigeru Omatu, Mitsuaki Yano
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Embedded e-nose for food inspection
2012 1st International Symposium on Physics and Technology of Sensors (ISPTS-1), 2012This paper details development of a low cost, small size, portable embedded electronic nose (e-nose). The odor Sensor array is composed of commercially available metal oxide semiconductor sensors by Figaro. The embedded E-nose consists of PIC18F4520 and has an RS 232 interface to Desktop PC for data acquisition, storage and analysis of the odor signals.
Amit Kumbhar +3 more
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E-Nose Algorithms and Challenges
2018This chapter focuses on the up-to-date progress and development in algorithm level for E-nose. We discuss from the viewpoint of feature extraction algorithms, signal de-noising algorithms, pattern recognition algorithms, and drift compensation algorithms that have been fully studied in electronic noses.
Lei Zhang, Fengchun Tian, David Zhang
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Anesthetic Level Prediction Using a QCM Based E-Nose
Journal of Medical Systems, 2008Anesthetic level measurement is a real time process. This paper presents a new method to measure anesthesia level in surgery rooms at hospitals using a QCM based E-Nose. The E-Nose system contains an array of eight different coated QCM sensors. In this work, the best linear reacting sensor is selected from the array and used in the experiments.
H. M. Saraoglu +2 more
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Spiking Neural Network E-Nose classifier chip
Proceedings of the IEEE 2010 National Aerospace & Electronics Conference, 2010Hardware E-Nose system classification is a challenging task. This paper presents our system architecture for chemical classifiers, with our recently developed Sampling Spiking Neural Network (SSNN) approach. The SSNN architecture is implemented on a 0.5 um CMOS technology tiny-chip designed to work in conjunction with a 256K external SRAM memory.
Hoda S. Abdel-Aty-Zohdy +2 more
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2013
“Electronic noses” are devices which consist of electronic-chemical sensors with specificity capable of recognizing simple or complex gas mixtures. The recent advances in sensor devices have allowed the development of new devices for various applications in many technological fields.
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“Electronic noses” are devices which consist of electronic-chemical sensors with specificity capable of recognizing simple or complex gas mixtures. The recent advances in sensor devices have allowed the development of new devices for various applications in many technological fields.
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Odor Space Navigation Using Multisensory E-Nose
Automation and Remote Control, 2018A spatial odor distribution in an environment can be used for navigation, goal search, localization and mapping, like by video, ultrasonic, temperature and other sensors. Modern e-noses can perform the selective detection of different gases with an extremely low concentration but the source localization algorithms of a selected gas against the ...
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Identification of ignitable liquids across E-noses
Measurement Science and TechnologyAbstract Identification of ignitable liquids (ILs) plays an important role in fire investigation. Electronic noses (E-noses) have been used in the field of ILs identification due to their advantages of fast speed, low price and good portability. However, when we ran the same algorithm on different E-noses with the same sensor array (i.e.
Tian-Shu Song +5 more
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