scholarly journals Multiple Odor Recognition and Source Direction Estimation with an Electronic Nose System

2013 ◽  
Vol 9 (8) ◽  
pp. 361378 ◽  
Author(s):  
Hyeong-Joon Kwon ◽  
Dong-Gyu Kim ◽  
Kwang-Seok Hong
Keyword(s):  
Electronic Nose ◽  
Odor Recognition ◽  
Direction Estimation ◽  
Electronic Nose System

scholarly journals Stable Odor Recognition by a neuro-adaptive Electronic Nose

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Eugenio Martinelli ◽  
Gabriele Magna ◽  
Davide Polese ◽  
Alexander Vergara ◽  
Detlev Schild ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Odor Recognition

scholarly journals Non-Invasive Method to Detect Infection with Mycobacterium tuberculosis Complex in Wild Boar by Measurement of Volatile Organic Compounds Obtained from Feces with an Electronic Nose System

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 584
Author(s):  
Kelvin de Jesús Beleño-Sáenz ◽  
Juan Martín Cáceres-Tarazona ◽  
Pauline Nol ◽  
Aylen Lisset Jaimes-Mogollón ◽  
Oscar Eduardo Gualdrón-Guerrero ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Wild Boar ◽  
Organic Compounds ◽  
Electronic Nose ◽  
Bovine Tuberculosis ◽  
Human Beings ◽  
Non Invasive ◽  
Testing Phase ◽  
Volatile Organic ◽  
Electronic Nose System

More effective methods to detect bovine tuberculosis, caused by Mycobacterium bovis, in wildlife, is of paramount importance for preventing disease spread to other wild animals, livestock, and human beings. In this study, we analyzed the volatile organic compounds emitted by fecal samples collected from free-ranging wild boar captured in Doñana National Park, Spain, with an electronic nose system based on organically-functionalized gold nanoparticles. The animals were separated by the age group for performing the analysis. Adult (>24 months) and sub-adult (12–24 months) animals were anesthetized before sample collection, whereas the juvenile (<12 months) animals were manually restrained while collecting the sample. Good accuracy was obtained for the adult and sub-adult classification models: 100% during the training phase and 88.9% during the testing phase for the adult animals, and 100% during both the training and testing phase for the sub-adult animals, respectively. The results obtained could be important for the further development of a non-invasive and less expensive detection method of bovine tuberculosis in wildlife populations.

scholarly journals Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2936 ◽  
Author(s):  
Xianghao Zhan ◽  
Xiaoqing Guan ◽  
Rumeng Wu ◽  
Zhan Wang ◽  
You Wang ◽  
...  
Keyword(s):  
Herbal Medicine ◽  
Electronic Nose ◽  
Nearest Neighbor ◽  
Herbal Medicines ◽  
Principal Component ◽  
Support Vector ◽  
Linear Discriminant ◽  
Convenient Means ◽  
Electronic Nose System ◽  
Insight Into

As alternative herbal medicine gains soar in popularity around the world, it is necessary to apply a fast and convenient means for classifying and evaluating herbal medicines. In this work, an electronic nose system with seven classification algorithms is used to discriminate between 12 categories of herbal medicines. The results show that these herbal medicines can be successfully classified, with support vector machine (SVM) and linear discriminant analysis (LDA) outperforming other algorithms in terms of accuracy. When principal component analysis (PCA) is used to lower the number of dimensions, the time cost for classification can be reduced while the data is visualized. Afterwards, conformal predictions based on 1NN (1-Nearest Neighbor) and 3NN (3-Nearest Neighbor) (CP-1NN and CP-3NN) are introduced. CP-1NN and CP-3NN provide additional, yet significant and reliable, information by giving the confidence and credibility associated with each prediction without sacrificing of accuracy. This research provides insight into the construction of a herbal medicine flavor library and gives methods and reference for future works.

Miniaturized Electronic Nose System Based on Personal Digital Assistant

ETRI Journal ◽  
2005 ◽  
Vol 27 (5) ◽  
pp. 585-594 ◽  
Author(s):  
Yong Shin Kim ◽  
Yoon Seok Yang ◽  
Seung-Chul Ha ◽  
Hyeon-Bong Pyo ◽  
Chang Auck Choi
Keyword(s):  
Electronic Nose ◽  
Personal Digital Assistant ◽  
Electronic Nose System

Design and Implementation of an Electronic Nose System for the Determination of Fish Freshness

2009 ◽  
Author(s):  
Rafael Masot ◽  
Miguel Alcañiz ◽  
Edgar Pérez-Esteve ◽  
José M. Barat ◽  
Luis Gil ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Design And Implementation ◽  
Electronic Nose System

Quality Control of Coffee Using an Electronic Nose System

2004 ◽  
Vol 1 (2) ◽  
pp. 129-135 ◽  
Author(s):  
Nidal F. Shilbayeh ◽  
Mahmoud Z. Iskandara
Keyword(s):  
Quality Control ◽  
Electronic Nose ◽  
Electronic Nose System
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