• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
M. J. Yeo, Y. P. Kim, "Trends of the PM10 Concentrations and High PM10 Concentration Cases in Korea," Journal of Korean Society for Atmospheric Environment, vol. 35, no. 2, pp. 249-264, 2019. DOI
2 
X. Querol, T. Moreno, A. Karanasiou, C. Reche, A. Alastuey, M. Viana, O. Font, E. de Miguel, M. Capdevila, "Variability of levels and composition of PM10 and PM2.5 in the Barcelona metro system," Atmospheric Chemistry and Physics, vol. 12, no. 11, pp. 5055-5076, 2012. DOI
3 
T. Moreno, N. Perez, C. Reche, V. Martins, E. de Miguel, M. Capdevila, S. Centelles, M. C. Minguillon, F. Amato, A. Alastuey, X. Querol, W. Gibbons, "Subway platform air quality: assessing the influences of tunnel ventilation, train piston effect and station design," Atmospheric Environment, vol. 92, pp. 461-468, 2014. DOI
4 
J. Baek, S. Lee, B. Lee, D. Kang, M. Yeo, K. Kim, "A Study on the Relationship between the Indoor and Outdoor Particulate Matter Concentration by Infiltration in the Winter," Journal of the Architectural Institute of Korea, vol. 31, no. 9, pp. 137-144, 2015. DOI
5 
H. Lim, T. Yin, Y. Kwon, "A Study on the Optimization of the Particulate Matter Reduction Device in Underground Subway Station," pp. 3786, 2019 Spring Conference of the Korean Institute of Industrial Engineers, 2019. Google Search
6 
S. Park, Y. Lee, Y. Yoon, M. Oh, M. Kim, S. Kwon, "Prediction of Particulate Matter (PM) using Machine Learning," pp. 499-500, Proceeding of the Korea Society for Railway Conference, 2018. Google Search
7 
Y. Kim, B. Kim, S. Ahn, "Application of spatiotemporal transformer model to improve prediction performance of particulate matter concentration," Journal of Intelligent Information Systems, vol. 28, no. 1, pp. 329-352, 2022. Google Search
8 
J. Kim, K. Lee, J. Bae, "Construction of Real-time Measurement and Device of Reducing Fine Dust in Urban Railway," pp. 101-102, Proceeding of the Korea Society for Railway Conference, 2020. Google Search
9 
Y. Lee, Y. Kim, H. Lee, Y. J. Kim, B. Han, H. Kim, "Analysis of the Correlation between the Concentration of PM2.5 in the Outside Atmosphere and the Concentration of PM2.5 in the Subway Station," Journal of Korean Society for Atmospheric Environment, vol. 38, no. 1, pp. 1-12, 2022. DOI
10 
M. S. Kim, "Research & Trends for Converged AI Technology based on Unsupervised Reinforcement Learning," Journal of the Korea Society of Computer and Information, vol. 28, no. 1, 2020. Google Search
11 
J. Park, S. Hong, I. Hwang, J. Heo, K. Kwon, H. Jung, "Development of an Energy Management Agent for Particulate Matter Control in Railway Stations Considering Regenerative Braking Energy," The Transactions of the Korean Institute of Electrical Engineers, vol. 74, no. 12, pp. 2322-2329, 2025. DOI
12 
J. Park, K. Kwon, S. Hong, I. Hwang, J. Heo, H. Jung, "Energy Management Agent for Regulating Particulate Matter in Railway Stations with Photovoltaic Power," The Transactions of the Korean Institute of Electrical Engineers, vol. 73, no. 10, pp. 1786-1793, 2024. DOI
13 
K. Kwon, S. Hong, J. Heo, H. Jung, J. Park, "Reinforcement Learning-based HVAC Control Agent for Optimal Control of Particulate Matter in Railway Stations," The Transactions of the Korean Institute of Electrical Engineers, vol. 70, no. 10, pp. 1594-1600, 2021. DOI
14 
Ministry of Economy and Finance, "General Guidelines for Conducting Preliminary Feasibility Studies," Sejong, Korea, 2023. Google Search