Zobrazeno 1 - 10
of 293
pro vyhledávání: '"Jae-bum Lee"'
Autor:
Jung-Hun Woo, Younha Kim, Ki-Chul Choi, Yong-Mi Lee, Youjung Jang, Jinseok Kim, Zbigniew Klimont, Dai-Gon Kim, Jae-Bum Lee, Hyungah Jin, Hyejung Hu, Young-Hwan Ahn
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study aimed to create Greenhouse Gas - Air Pollution Interactions and Synergies (GAINS)-Korea, an integrated model for evaluating climate and air quality policies in Korea, modeled after the international GAINS model. GAINS-Korea incorp
Externí odkaz:
https://doaj.org/article/859b3d50fa7d415fb6846eefb7e237b3
Publikováno v:
IEEE Access, Vol 12, Pp 103880-103894 (2024)
The recent focus on greenhouse gas emissions from fossil fuel usage has led to strengthened regulations on carbon emissions. Consequently, research on electric vehicles (EV), which have higher energy efficiency compared to internal combustion engine
Externí odkaz:
https://doaj.org/article/e27e6f0d1c954ac19583f177ff96e8e9
Autor:
Seoyeon Kim, Jinseok Kim, Hyejung Hu, Meongdo Jang, Jae-Bum Lee, Sung Chul Hong, Okgil Kim, Jung-Hun Woo
Publikováno v:
Asian Journal of Atmospheric Environment, Vol 17, Iss 1, Pp 1-14 (2023)
Abstract Using updated emission inventories can enhance the accuracy of air quality forecast models. Given China’s rapid economic growth and Korea’s geographical and meteorological position on the windward side of China, updating China’s emissi
Externí odkaz:
https://doaj.org/article/cbb6952d5d2248679c7b8eb12c252115
Publikováno v:
Energies, Vol 17, Iss 21, p 5496 (2024)
In recent years, the trend in power electronics has been toward high-efficiency and high-power-density converters. Additionally, this trend has allowed electric vehicles to accommodate larger batteries, which necessitate bi-directional capabilities n
Externí odkaz:
https://doaj.org/article/dbede2cb1b26417c8081a954de5670b2
Autor:
Dong-Ju Kim, Tae-Hee Kim, Jin-Young Choi, Jae-bum Lee, Rhok-Ho Kim, Jung-Seok Son, Daegyun Lee
Publikováno v:
Atmosphere, Vol 15, Iss 3, p 376 (2024)
The vertical eddy diffusion process plays a crucial role in PM2.5 prediction, yet accurately predicting it remains challenging. In the three-dimensional atmospheric chemistry transport model (3-D AQM) CMAQ, a parameter, Kz, is utilized, and it is kno
Externí odkaz:
https://doaj.org/article/8ad49b66c1e643fc8b2accde5e263380
Publikováno v:
IEEE Access, Vol 11, Pp 122231-122237 (2023)
This paper presents optimal rotor permanent magnet (PM) and rotor pole-piece skew to improve the total harmonic distortion (THD) of the back electromotive force (Back-EMF) in magnetic geared permanent magnet synchronous motor (MG-PMSM) for traction.
Externí odkaz:
https://doaj.org/article/d1c04786b8c04423987aa14b11be927f
Publikováno v:
IEEE Access, Vol 11, Pp 103350-103363 (2023)
In this paper, we propose a novel full-bridge (FB) diode-clamped four-level symmetric switching converter. Multi-neighboring reference vector discontinuous PWM (MNRV DPWM) for FB topology was implemented using a symmetric half-bridge (HB)-based contr
Externí odkaz:
https://doaj.org/article/6e5465659fa3404a9174632fdca52404
Publikováno v:
IEEE Access, Vol 11, Pp 89164-89179 (2023)
In this study, the authors propose a non-isolated high step-up interleaved DC/DC converter that can be applied to sustainable energy system. The proposed converter achieves high voltage gain by employing a coupled inductor and switched capacitor meth
Externí odkaz:
https://doaj.org/article/526dacc69bbb4885b3afe5d073ae4d42
Publikováno v:
대한환경공학회지, Vol 44, Iss 8, Pp 276-286 (2022)
Objectives This study aims to identify the changes and statistical characteristics of the observed concentration data of fine particles (PM-2.5), one of the air environment indicators, and to analyze the variability of observation data in South Korea
Externí odkaz:
https://doaj.org/article/e5e13825171d4480834ba22ab80b36d4
Autor:
Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Jia Jung, Yannic Lops, Ahmed Khan Salman, Jae-Bum Lee, Hyun-Ju Park, Min-Hyeok Choi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Issues regarding air quality and related health concerns have prompted this study, which develops an accurate and computationally fast, efficient hybrid modeling system that combines numerical modeling and machine learning for forecasting co
Externí odkaz:
https://doaj.org/article/61a2b4505f114dcaba24ee227ece1377