미세먼지관리, 특성화대학원
Invited Sessions II

Chair : Sangkyun Lee(Professor.Korea University)

·회의 ID : 811 1708 6593 ·암호 : 1234
Time Program
16:00 ~ 16:20

Research of Particulate Matter Prediction Modeling Based on Deep Learning

Lee, Seong Gu
Department of Human ICT Convergence, Sungkyunkwan University
16:20 ~ 16;40

Improvement of Particulate Matter Prediction Performance in Subway Stations Using Reconstruction Error-based Spatiotemporal Transformer

Youngkwang KimㆍBokju Kim1ㆍSungMahn Ahn2
Data Solution Business Department, WesleyQuest Co., Ltd.
1D&A Platform Department, Woori Finance Information System Co., Ltd.
2School of Business Administration, Kookmin University
16:40 ~ 17:00

How to amplify anomaly data in consideration of environmental changes and improve prediction performance

Chul Hyun Hwang
Department of Big Data, Kyoung-Bok University
17:00 ~ 17:20

Development of short-term artificial intelligence PM2.5 forecast model

Hui-Young Yun1ㆍDae-Ryun Choi1ㆍJi-Seok Koo2ㆍKyung-Hui Wang3ㆍYoun-Seo Koo1
1Department of Environmental and Energy Engineering, Anyang University
2Department of Computer Engineering, Anyang University
3Department of Environmental Engineering, Graduate School of Anyang University
17:20 ~ 17:40

Spatiotemporal Variations in Air Quality over East Asia(China and South Korea) from 2015 to 2020 using CMAQ with Data Assimilation

Dae-Ryun Choi1ㆍHui-Young Yun1ㆍJi-Seok Koo2ㆍKyung-Hui Wang3ㆍYoun-Seo Koo1
1Department of Environmental and Energy Engineering, Anyang University
2Department of Computer Engineering, Anyang University
3Department of Environmental Engineering, Graduate School of Anyang University
17:40 ~ 18:00

Improved air quality forecasting accuracy by applying ensemble method

Sung-Tae Kim
E2M3 Inc.
특성화대학원, 미세먼지관리