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Application of the new pattern recognition system in the new e-nose to detecting Chinese spirits |
| Gu Yu (谷宇), Li Qiang (李强) |
| Department of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China |
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Abstract We present a new pattern recognition system based on moving average and linear discriminant analysis (LDA), which can be used to process the original signal of the new polymer quartz piezoelectric crystal air-sensitive sensor system we designed, called the new e-nose. Using the new e-nose, we obtain the template datum of Chinese spirits via a new pattern recognition system. To verify the effectiveness of the new pattern recognition system, we select three kinds of Chinese spirits to test, our results confirm that the new pattern recognition system can perfectly identify and distinguish between the Chinese spirits.
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Received: 25 November 2013
Revised: 31 December 2013
Accepted manuscript online:
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PACS:
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42.30.Sy
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(Pattern recognition)
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43.60.Lq
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(Acoustic imaging, displays, pattern recognition, feature extraction)
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07.07.Df
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(Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing)
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| Fund: Project supported by the National High Technology Research and Development Program of China (Grant No. 2013AA030901). |
Corresponding Authors:
Gu Yu, Li Qiang
E-mail: yugu@bjtu.edu.cn;12121028@bjtu.edu.cn
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| About author: 42.30.Sy; 43.60.Lq; 07.07.Df |
Cite this article:
Gu Yu (谷宇), Li Qiang (李强) Application of the new pattern recognition system in the new e-nose to detecting Chinese spirits 2014 Chin. Phys. B 23 044213
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| [1] |
Gu Y, Li Q, Tian F F and Xu B J 2013 Chin. Phys. Lett. 30 108101
|
| [2] |
Muhammad T S C, Karimov K S, Khalid F A, Abbas S Z and Bhatty M B 2013 Chin. Phys. B 22 010701
|
| [3] |
Sekhar P K, Brosha E L, Mukundan R, Linker K L, Brusseau C and Garzon F H 2011 J. Hazard Mater. 190 125
|
| [4] |
Ruys D P, Andrade J F and Guimar aes O M 2000 Analytica Chimica Acta 404 95
|
| [5] |
Ng T N, Wong W S, Chabinyc M L, Sambandan C S and Street R A 2008 Appl. Phys. Lett. 92 213303
|
| [6] |
Steibig H, Street R A, Knipp D, Krause M and Ho J 2006 Appl. Phys. Lett. 88 013509
|
| [7] |
Guo D M, Zhang D and Zhang L 2011 Sensor Actuat B-Chem. 157 265
|
| [8] |
Potyrailo R A and Morris W G 2007 Rev. Sci. Instrum. 78 072214
|
| [9] |
Kildishev A V, Kamondetdacha R and Nyenhuis J A 2003 J. Appl. Phys. 93 7074
|
| [10] |
Gao Z K, Zhang X W, Jin N D, Norbert M and Kurths J 2013 Phys. Rev. E 88 032910
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