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Paper Abstract and Keywords
Presentation 2019-11-05 10:50
[Poster Presentation] Development of IoT based Indoor Environment Monitoring and Estimation System
Nobuyoshi Komuro, Taisei Shoji (Chiba Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Since wireless devices are downsized and produced at a low price, the Internet of Things (IoT) is getting much attention. A lot of electric devices are connected to the Internet by realizing the idea of the IoT. The IoT enables physical objects to see, hear, think and perform jobs by having them communicate with each other. The IoT enables us to get various kinds of environment data, which can be used for big data analysis. This paper develops an indoor environment monitoring system using ZigBee Wireless Sensor Network (WSN). The developed system collects environmental data through WSN. The collected environment data is uploaded on cloud server. Additionally, CO2 concentration is estimated by using Machine Learning. Experimental results show the effectiveness of the developed system.
Keyword (in Japanese) (See Japanese page) 
(in English) ZigBee / Wireless Sensor Network / Environment Monitoring System / Machine Learning / / / /  
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Conference Information
Committee SR  
Conference Date 2019-11-04 - 2019-11-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Rutgers University Inn & Conference Center, NJ, USA 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SmartCom2019 (Authors from IEICE nonregistered organisation, Poster, w/o Review) 
Paper Information
Registration To SR 
Conference Code 2019-11-SR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of IoT based Indoor Environment Monitoring and Estimation System 
Sub Title (in English)  
Keyword(1) ZigBee  
Keyword(2) Wireless Sensor Network  
Keyword(3) Environment Monitoring System  
Keyword(4) Machine Learning  
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1st Author's Name Nobuyoshi Komuro  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Taisei Shoji  
2nd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2019-11-05 10:50:00 
Presentation Time 90 minutes 
Registration for SR 
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Volume (vol) vol.119 
Number (no) no.262 
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