Fine Dust Prediction System based on Deep Learning

Title : Fine Dust Prediction System based on Deep Learning
Published in : The 13th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2018)
Author : Thanongsak Xayasouk, Hee-Woo Park, Hwamin Lee
Corresponding author : HwaMin Lee
Location : Intercontinental Nha Trang Hotel, NhaTrang, Vietnam

Abstract
Currently, Fine dust is very harmful to peoples’ health assuming that we know the information about the concentration of fine dust which dangerous for people, it was able to prevent harmful of fine dust immediately. In this paper, we proposed a deep learning approach used the air pollution data and meteorological data in South Korea for fine dust prediction and used stacked autoencoder model for learning and training data. The experiment results show the performance of the fine dust prediction system and model that proposed.

Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NRF-2017R1A2B4010570) and the Ministry of Science and ICT, Korea, under the ITRC(Information Technology Research Center) support program (IITP-2018-2014-1-00720) supervised by the IITP(Institute for Information & communications Technology Promotion).