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Presentation
Estimation of CO2 Concentration Using MOX Sensors and Neural Network
Harunobu Taguchi, Takuya Sano (NITTC), Shinichi Kondo, Koji Takahashi, Yutaka Tamura, Toshimitsu Kitamura (Toshiba Info. Sys. Co.), Shinichiro Mito (NITTC)
Abstract (in Japanese) (See Japanese page) 
(in English) A visualization of indoor environments by measuring CO2 concentration has been attracting attention, because CO2 causes drowsiness and fatigue. CO2 concentration is a key indicator for the ventilation, which is the effectual countermeasure for COVID-19. NDIR sensors are usually used for measuring CO2 concentration, but they are not very popular at present due to their high price. Therefore, we focused on inexpensive MOX sensors that can measure the concentration of organic compounds including CO2. In this study, we estimated CO2 value from the output of the MOX sensor using supervised machine learning. The CO2 concentration of the classrooms were estimated by MLP and RNN. The root mean squared error of the MLP and the RNN estimation were 299 ppm and 334 ppm respectively. This result would expand use of CO2 measurement that make indoor environment more comfortable and safe.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / CO2 Sensor / MLP / RNN / Indoor Air Quality / IoT / COVID-19 /  
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Conference Information
Committee HPB  
Conference Date 2021-03-03 - 2021-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
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Paper Information
Registration To HPB 
Conference Code 2021-03-HPB 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of CO2 Concentration Using MOX Sensors and Neural Network 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) CO2 Sensor  
Keyword(3) MLP  
Keyword(4) RNN  
Keyword(5) Indoor Air Quality  
Keyword(6) IoT  
Keyword(7) COVID-19  
Keyword(8)  
1st Author's Name Harunobu Taguchi  
1st Author's Affiliation National Institute of Technology, Tokyo College (NITTC)
2nd Author's Name Takuya Sano  
2nd Author's Affiliation National Institute of Technology, Tokyo College (NITTC)
3rd Author's Name Shinichi Kondo  
3rd Author's Affiliation Toshiba Information Systems (Japan) Corporation (Toshiba Info. Sys. Co.)
4th Author's Name Koji Takahashi  
4th Author's Affiliation Toshiba Information Systems (Japan) Corporation (Toshiba Info. Sys. Co.)
5th Author's Name Yutaka Tamura  
5th Author's Affiliation Toshiba Information Systems (Japan) Corporation (Toshiba Info. Sys. Co.)
6th Author's Name Toshimitsu Kitamura  
6th Author's Affiliation Toshiba Information Systems (Japan) Corporation (Toshiba Info. Sys. Co.)
7th Author's Name Shinichiro Mito  
7th Author's Affiliation National Institute of Technology, Tokyo College (NITTC)
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