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Showing results 1 to 10 of 3213 (Search time: 0.0 seconds).

Prediction of Electromagnetic Wave Propagation in Troposphere Using Parabolic Equation and Two-Dimensional Refractivity
  • Choi, Seongro;
  • Heo, Jun;
  • Kim, Changseong;
  • Wang, Sungsik;
  • Choo, Hosung;
  • Park, Yong Bae
  • 2020-05-01
  • Journal of Electrical Engineering and Technology, Vol.15, pp.1287-1292
  • Korean Institute of Electrical Engineers
Development of ARIMA-based forecasting algorithms using meteorological indices for seasonal peak load
  • 2018-10-01
  • Transactions of the Korean Institute of Electrical Engineers, Vol.67, pp.1257-1264
  • Korean Institute of Electrical Engineers
High altitude ducts causing abnormal wave propagation in coastal area of Korea
  • Lim, Tae Heung;
  • Wang, Sungsik;
  • Chong, Young Jun;
  • Park, Yong Bae;
  • Ko, Jinwon;
  • Choo, Hosung
  • 2020-02-01
  • Microwave and Optical Technology Letters, Vol.62, pp.643-650
  • John Wiley and Sons Inc.
Electromagnetic Wave Propagation from Low-Earth Orbit Satellite to Ground Station Considering Interpolated Atmospheric Environmentsoa mark
  • 2021-01-01
  • IEEE Access, Vol.9, pp.95853-95861
  • Institute of Electrical and Electronics Engineers Inc.
Analyzing The Main Drivers of Observed PM2.5 Concentrations in South Korea during the 1st to 5th Seasonal Particulate Matter Management Periods 1~5차 미세먼지 계절관리제 기간 국내 초미세먼지 관측 농도 변화 요인 분석
  • Kang, Yoon Hee;
  • Kim, Eunhye;
  • Jung, Sungeun;
  • Park, Junheung;
  • Son, Chaewon;
  • Kim, Soontae
  • 2024-08-01
  • Journal of Korean Society for Atmospheric Environment, Vol.40, pp.407-426
  • Korean Society for Atmospheric Environment
Quantitative Evaluation on the Drivers of PM2.5 Concentration Change in South Korea during the 1st - 3rd Seasonal PM2.5 Management Periods 1~3차 미세먼지 계절관리제 기간 중 국내 PM2.5 농도 변화 요인 분석32oa mark
  • 2022-01-01
  • Journal of Korean Society for Atmospheric Environment, Vol.38, pp.610-623
  • Korean Society for Atmospheric Environment
The Association between Daily Level of Fine and Coarse Particles and Mortality in Seoul from 2006 to 2015
  • 나원웅
  • 2019-02
  • The Graduate School, Ajou University
Development of artificial neural network algorithm for the prediction of power failures by natural disaster
  • 2019-01-01
  • Transactions of the Korean Institute of Electrical Engineers, Vol.68, pp.1085-1093
  • Korean Institute of Electrical Engineers
Overall Characteristics of Nationwide High PM2.5 Episodes during 2013~2016 2013~2016 기간 전국 규모 PM2.5 고농도 사례의 전반적 특성oa mark
  • Ghim, Young Sung;
  • Choi, Yongjoo;
  • Park, Jisoo;
  • Kim, Soontae;
  • Bae, Chang Han;
  • Seo, Jihoon;
  • Shin, Hye Jung;
  • Lim, Yong Jae;
  • Lyu, Young Sook;
  • Lee, Young Jae
  • 2019-10-01
  • Journal of Korean Society for Atmospheric Environment, Vol.35, pp.609-624
  • Korean Society for Atmospheric Environment
Development for rainfall classification based on local flood vulnerability using entropy weight in Seoul metropolitan area
  • Lee, Seonmi;
  • Choi, Youngje;
  • Lee, Eunkyung;
  • Ji, Jungwon;
  • Yi, Jaeeung
  • 2022-04-01
  • Journal of Korea Water Resources Association, Vol.55, pp.267-278
  • Korea Water Resources Association
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