Metal-oxide-semiconductor Sensors Modeling Using Ordered Weighted Averaging (OWA) Operators in Electronic Nose

Measurement ◽  
2021 ◽  
pp. 109932
Author(s):  
Enseih Kazemi ◽  
Danial Sadrian Zadeh ◽  
Behzad Moshiri
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Weighted Averaging ◽  
Owa Operators ◽  
Ordered Weighted Averaging ◽  
Semiconductor Sensors

Electronic nose based on metal oxide semiconductor sensors and pattern recognition techniques: characterisation of vegetable oils

2001 ◽  
Vol 449 (1-2) ◽  
pp. 69-80 ◽  
Author(s):  
Yolanda González Martı́n ◽  
M.Concepción Cerrato Oliveros ◽  
José Luis Pérez Pavón ◽  
Carmelo Garcı́a Pinto ◽  
Bernardo Moreno Cordero
Keyword(s):  
Pattern Recognition ◽  
Metal Oxide ◽  
Vegetable Oils ◽  
Electronic Nose ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Pattern Recognition Techniques ◽  
Semiconductor Sensors

Online breath analysis using metal oxide semiconductor sensors (electronic nose) for diagnosis of lung cancer

2019 ◽  
Vol 14 (1) ◽  
pp. 016004 ◽  
Author(s):  
Aleksandr Kononov ◽  
Boris Korotetsky ◽  
Igor Jahatspanian ◽  
Anna Gubal ◽  
Alexey Vasiliev ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Metal Oxide ◽  
Electronic Nose ◽  
Breath Analysis ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Semiconductor Sensors ◽  
Diagnosis Of Lung Cancer

scholarly journals Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat

Sensors ◽  
2008 ◽  
Vol 8 (1) ◽  
pp. 142-156 ◽  
Author(s):  
Noureddine El Barbri ◽  
Eduard Llobet ◽  
Nezha El Bari ◽  
Xavier Correig ◽  
Benachir Bouchikhi
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Red Meat ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Alternative Technique ◽  
Semiconductor Sensors

Electronic nose based on metal oxide semiconductor sensors as a fast alternative for the detection of adulteration of virgin olive oils

2002 ◽  
Vol 459 (2) ◽  
pp. 219-228 ◽  
Author(s):  
Ma Concepción Cerrato Oliveros ◽  
José Luis Pérez Pavón ◽  
Carmelo Garcı́a Pinto ◽  
Ma Esther Fernández Laespada ◽  
Bernardo Moreno Cordero ◽  
...  
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Semiconductor Sensors

scholarly journals A Prototype to Detect the Alcohol Content of Beers Based on an Electronic Nose

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2646 ◽  
Author(s):  
Henike Guilherme Jordan Voss ◽  
José Jair Alves Mendes Júnior ◽  
Murilo Eduardo Farinelli ◽  
Sergio Luiz Stevan
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Gas Sensors ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Alcohol Content ◽  
Electronic Noses

Due to the emergence of new microbreweries in the Brazilian market, there is a need to construct equipment to quickly and accurately identify the alcohol content in beverages, together with a reduced marketing cost. Towards this purpose, the electronic noses prove to be the most suitable equipment for this situation. In this work, a prototype was developed to detect the concentration of ethanol in a high spectrum of beers presents in the market. It was used cheap and easy-to-acquire 13 gas sensors made with a metal oxide semiconductor (MOS). Samples with 15 predetermined alcohol contents were used for the training and construction of the models. For validation, seven different commercial beverages were used. The correlation (R2) of 0.888 for the MLR (RMSE = 0.45) and the error of 5.47% for the ELM (RMSE = 0.33) demonstrate that the equipment can be an effective tool for detecting the levels of alcohol contained in beverages.

scholarly journals Development Of Portable Electronic Nose Device For Perfume Odour Classification

2012 ◽  
Author(s):  
Fauzan Khairi Che Harun ◽  
Nur Atiqah Ibrahim ◽  
Mohd Ariffanan Mohd Basri
Keyword(s):  
Metal Oxide ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Current Source ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Constant Current ◽  
Constant Current Source ◽  
Body Shop ◽  
National Instrument

Artikel ini membentangkan pembangunan sebuah hidung elektronik (e–Hidung) mudah alih berdasarkan kad perolehan data National Instrument dan LabView. Kajian ini merangkumi rekabentuk litar e–Hidung yang terdiri daripada pelbagai jenis semikonduktor oksida logam daripada FIGARO sebagai sensor gas. Rintangan dari setiap sensor gas diukur melalui litar arus tetap yang dikawal melalui LabView. Sumber arus tetap digunakan sebagai antara muka elektronik bolehubah yang membolehkan pemetaan voltan keluaran sensor untuk profil rintangan sensor dilakukan secara tepat. Rintangan dari setiap sensor dikira secara tepat dan dipaparkan oleh LabView. Keputusan kajian menunjukkan bahawa e – Hidung yang dihasilkan boleh mengesan dan mengklasifikasikan antara dua jenama terkenal iaitu Body Shop dan Avon. Kaedah analisis komponen utama (PCA) yang digunakan menunjukkan diskriminasi besar iaitu 99.53% untuk bau tersebut. Ini menunjukkan bahawa sistem yang dihasilkan mampu membezakan baud an akan digunakan untuk tugas yang lebih kompleks pada masa akan datang. Kata kunci: Hidung elektronik; semikonduktor oksida logam; sensor gas; pengecaman corak; This paper presents the development of a portable electronic nose (e–Nose) based on a National Instrument data acquisition card and LabView. The study includes the design of e–Nose circuits that consist of different types of metal oxide semiconductor from FIGARO as gas sensors. The resistances of each gas sensor are measured through a constant current circuit controlled via LabView. The constant current source is used as an adaptive electronic interface that allows the accurate mapping of the sensor’s voltage output to sensor resistance profiles. The resistance of each sensor is accurately computed and displayed by LabView. The result of the study showed that the created e – Nose can detect and classify between two famous brands Body Shop and Avon. The applied principal component analysis (PCA) method shows great discrimination of 99.53% for the mentioned odour. This suggests that the system is able to discriminate between simple odours and will be use for a more complex task in the future. Key words: Electronic Nose: metal oxide semiconductor; gas sensor; pattern recognition; PCA

Sensor array optimization and discrimination of apple juices according to variety by an electronic nose

2017 ◽  
Vol 9 (6) ◽  
pp. 921-928 ◽  
Author(s):  
Hao Wu ◽  
TianLi Yue ◽  
Zhijiao Xu ◽  
Chen Zhang
Keyword(s):  
Metal Oxide ◽  
Electronic Nose ◽  
Chemical Sensors ◽  
Apple Juice ◽  
Sensor Array ◽  
Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Array Optimization ◽  
Semiconductor Type

An electronic nose (PEN3) containing 10 metal oxide semiconductor type chemical sensors was used to discriminate between eight varieties of apple juice.

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