Design and Construction of Electronic Nose for Multi-purpose Applications by Sensor Array Arrangement Using IBGSA

Technological progresses in the gas sensor fields provide the possibility of designing and construction of Electronic nose (E-nose) based on the Biological nose. E-nose uses specific hardware and software units; Sensor array is one of the critical units in the E-nose and its types of sensors are det...

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Published in	Journal of intelligent & robotic systems Vol. 92; no. 2; pp. 205 - 221
Main Authors	Estakhroyeh, Hossein Rezaei, Rashedi, Esmat, Mehran, Mahdiyeh
Format	Journal Article
Language	English
Published	Dordrecht Springer Netherlands 01.10.2018 Springer Springer Nature B.V
Subjects	Algorithms Artificial Intelligence Bread Case studies Control Electrical Engineering Electronic noses Engineering Gas fields Gas sensors Gravitation Hardware Mechanical Engineering Mechatronics Natural gas Nose Odors Pattern recognition Petroleum products Power consumption Robotics Search algorithms Sensor arrays Sensors Smell Technology application Multi-purpose applications Odor classification Electronic nose (E-nose) Sensor array configuration Gas sensors array Binary gravitational search algorithm
Online Access	Get full text
ISSN	0921-0296 1573-0409
DOI	10.1007/s10846-017-0759-3

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Abstract	Technological progresses in the gas sensor fields provide the possibility of designing and construction of Electronic nose (E-nose) based on the Biological nose. E-nose uses specific hardware and software units; Sensor array is one of the critical units in the E-nose and its types of sensors are determined based on the application. So far, many achievements have been reported for using the E-nose in different fields of application. In this work, an E-nose for handling multi-purpose applications is proposed, and the employed hardware and pattern recognition techniques are depicted. To achieve higher recognition rate and lower power consumption, the improved binary gravitational search algorithm (IBGSA) and the K-nearest neighbor (KNN) classifier are used for automatic selecting the best combination of the sensors. The designed E-nose is tested by classifying the odors in different case studies, including moldy bread recognition in food and beverage field, herbs recognition in the medical field, and petroleum products recognition in the industrial field. Experimental results confirm the efficiency of the proposed method for E-nose realization.
AbstractList	Technological progresses in the gas sensor fields provide the possibility of designing and construction of Electronic nose (E-nose) based on the Biological nose. E-nose uses specific hardware and software units; Sensor array is one of the critical units in the E-nose and its types of sensors are determined based on the application. So far, many achievements have been reported for using the E-nose in different fields of application. In this work, an E-nose for handling multi-purpose applications is proposed, and the employed hardware and pattern recognition techniques are depicted. To achieve higher recognition rate and lower power consumption, the improved binary gravitational search algorithm (IBGSA) and the K-nearest neighbor (KNN) classifier are used for automatic selecting the best combination of the sensors. The designed E-nose is tested by classifying the odors in different case studies, including moldy bread recognition in food and beverage field, herbs recognition in the medical field, and petroleum products recognition in the industrial field. Experimental results confirm the efficiency of the proposed method for E-nose realization. Technological progresses in the gas sensor fields provide the possibility of designing and construction of Electronic nose (E-nose) based on the Biological nose. E-nose uses specific hardware and software units; Sensor array is one of the critical units in the E-nose and its types of sensors are determined based on the application. So far, many achievements have been reported for using the E-nose in different fields of application. In this work, an E-nose for handling multi-purpose applications is proposed, and the employed hardware and pattern recognition techniques are depicted. To achieve higher recognition rate and lower power consumption, the improved binary gravitational search algorithm (IBGSA) and the K-nearest neighbor (KNN) classifier are used for automatic selecting the best combination of the sensors. The designed E-nose is tested by classifying the odors in different case studies, including moldy bread recognition in food and beverage field, herbs recognition in the medical field, and petroleum products recognition in the industrial field. Experimental results confirm the efficiency of the proposed method for E-nose realization. Keywords Electronic nose (E-nose) * Odor classification * Multi-purpose applications * Gas sensors array * Sensor array configuration * Binary gravitational search algorithm
Audience	Academic
Author	Mehran, Mahdiyeh Estakhroyeh, Hossein Rezaei Rashedi, Esmat
Author_xml	– sequence: 1 givenname: Hossein Rezaei surname: Estakhroyeh fullname: Estakhroyeh, Hossein Rezaei organization: Department of Electrical Engineering, Graduate University of Advanced Technology – sequence: 2 givenname: Esmat surname: Rashedi fullname: Rashedi, Esmat email: e.rashedi@kgut.ac.ir organization: Department of Electrical Engineering, Graduate University of Advanced Technology – sequence: 3 givenname: Mahdiyeh surname: Mehran fullname: Mehran, Mahdiyeh organization: RF MEMS and Bio-Nano Electronics Laboratory, Department of Electrical Engineering, Shahid Bahonar University of Kerman
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Keywords	Multi-purpose applications Odor classification Electronic nose (E-nose) Sensor array configuration Gas sensors array Binary gravitational search algorithm
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Snippet	Technological progresses in the gas sensor fields provide the possibility of designing and construction of Electronic nose (E-nose) based on the Biological...
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SubjectTerms	Algorithms Artificial Intelligence Bread Case studies Control Electrical Engineering Electronic noses Engineering Gas fields Gas sensors Gravitation Hardware Mechanical Engineering Mechatronics Natural gas Nose Odors Pattern recognition Petroleum products Power consumption Robotics Search algorithms Sensor arrays Sensors Smell Technology application
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Title	Design and Construction of Electronic Nose for Multi-purpose Applications by Sensor Array Arrangement Using IBGSA
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