Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays
This paper presents a new pattern recognition approach for enhancing the selectivity of gas sensor arrays for clustering intelligent odor detection. The aim of this approach was to accurately classify an odor using pattern recognition in order to enhance the selectivity of gas sensor arrays. This wa...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2012-11-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/12/16262 |
| _version_ | 1798041423158706176 |
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| author | Taikjin Lee Hyung Seok Kim Young Tae Byun Chulki Kim Jae Hun Kim Seok Lee Eungyeong Kim |
| author_facet | Taikjin Lee Hyung Seok Kim Young Tae Byun Chulki Kim Jae Hun Kim Seok Lee Eungyeong Kim |
| author_sort | Taikjin Lee |
| collection | DOAJ |
| description | This paper presents a new pattern recognition approach for enhancing the selectivity of gas sensor arrays for clustering intelligent odor detection. The aim of this approach was to accurately classify an odor using pattern recognition in order to enhance the selectivity of gas sensor arrays. This was achieved using an odor monitoring system with a newly developed neural-genetic classification algorithm (NGCA). The system shows the enhancement in the sensitivity of the detected gas. Experiments showed that the proposed NGCA delivered better performance than the previous genetic algorithm (GA) and artificial neural networks (ANN) methods. We also used PCA for data visualization. Our proposed system can enhance the reproducibility, reliability, and selectivity of odor sensor output, so it is expected to be applicable to diverse environmental problems including air pollution, and monitor the air quality of clean-air required buildings such as a kindergartens and hospitals. |
| first_indexed | 2024-04-11T22:21:19Z |
| format | Article |
| id | doaj.art-c227e5cb0e124e13b42b290ce0e2b0e4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:21:19Z |
| publishDate | 2012-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c227e5cb0e124e13b42b290ce0e2b0e42022-12-22T04:00:06ZengMDPI AGSensors1424-82202012-11-011212162621627310.3390/s121216262Pattern Recognition for Selective Odor Detection with Gas Sensor ArraysTaikjin LeeHyung Seok KimYoung Tae ByunChulki KimJae Hun KimSeok LeeEungyeong KimThis paper presents a new pattern recognition approach for enhancing the selectivity of gas sensor arrays for clustering intelligent odor detection. The aim of this approach was to accurately classify an odor using pattern recognition in order to enhance the selectivity of gas sensor arrays. This was achieved using an odor monitoring system with a newly developed neural-genetic classification algorithm (NGCA). The system shows the enhancement in the sensitivity of the detected gas. Experiments showed that the proposed NGCA delivered better performance than the previous genetic algorithm (GA) and artificial neural networks (ANN) methods. We also used PCA for data visualization. Our proposed system can enhance the reproducibility, reliability, and selectivity of odor sensor output, so it is expected to be applicable to diverse environmental problems including air pollution, and monitor the air quality of clean-air required buildings such as a kindergartens and hospitals.http://www.mdpi.com/1424-8220/12/12/16262gas sensor arrayodor monitoringpattern recognitionartificial neural networks (ANN)genetic algorithm (GA)neural-genetic classification algorithm (NGCA) |
| spellingShingle | Taikjin Lee Hyung Seok Kim Young Tae Byun Chulki Kim Jae Hun Kim Seok Lee Eungyeong Kim Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays Sensors gas sensor array odor monitoring pattern recognition artificial neural networks (ANN) genetic algorithm (GA) neural-genetic classification algorithm (NGCA) |
| title | Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays |
| title_full | Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays |
| title_fullStr | Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays |
| title_full_unstemmed | Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays |
| title_short | Pattern Recognition for Selective Odor Detection with Gas Sensor Arrays |
| title_sort | pattern recognition for selective odor detection with gas sensor arrays |
| topic | gas sensor array odor monitoring pattern recognition artificial neural networks (ANN) genetic algorithm (GA) neural-genetic classification algorithm (NGCA) |
| url | http://www.mdpi.com/1424-8220/12/12/16262 |
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