Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Hyun-Jin Jeong"'
Publikováno v:
The Astrophysical Journal Letters, Vol 971, Iss 2, p L47 (2024)
We address the question of whether the solar limb flare prediction can be properly made by EUV intensity, which has less projection effects than solar white light and magnetogram data. We develop empirical and multilayer perceptron (MLP) models to fo
Externí odkaz:
https://doaj.org/article/5a64c305cf6b49a4bd87680e6a6436f1
Autor:
Khojiakbar Karimov, Harim Lee, Hyun-Jin Jeong, Yong-Jae Moon, Jihye Kang, Jihyeon Son, Mingyu Jeon, Kanya Kusano
Publikováno v:
The Astrophysical Journal Letters, Vol 965, Iss 1, p L5 (2024)
In this Letter, we examine the relationship between 3D magnetic free energy (MFE) and flaring activity using 83 major solar flares (M-class and X-class) in nine solar active regions (ARs). For this, we use 998 nonlinear force-free field extrapolation
Externí odkaz:
https://doaj.org/article/1f4bf15dbd1148f397423321b836f934
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 271, Iss 1, p 14 (2024)
For the first time, we generate solar coronal parameters (density, magnetic field, radial velocity, and temperature) on a near-real-time basis by deep learning. For this, we apply the Pix2PixCC deep-learning model to three-dimensional (3D) distributi
Externí odkaz:
https://doaj.org/article/ea1c8d8da6794d71b8d85d8d11a7f65c
Publikováno v:
Environmental Data Science, Vol 2 (2023)
Accurate and reliable disaster forecasting is vital for saving lives and property. Hence, effective disaster management is necessary to reduce the impact of natural disasters and to accelerate recovery and reconstruction. Typhoons are one of the majo
Externí odkaz:
https://doaj.org/article/1fb9bec4b10b4e03a0163cd617eed85a
Publikováno v:
The Astrophysical Journal, Vol 953, Iss 2, p 159 (2023)
We study the source regions of six solar energetic particle (SEP) events accelerated near or behind the limbs of the Sun. We use AI-generated farside magnetograms at a near real-time basis developed by Jeong et al. and AI _HMI -PFSS extrapolations up
Externí odkaz:
https://doaj.org/article/73c13b4ce8d1420aa3ba306d8b7b5f54
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 267, Iss 2, p 45 (2023)
In this study, we forecast solar wind speed for the next 3 days with a 6 hr cadence using a deep-learning model. For this we use Solar Dynamics Observatory/Atmospheric Imaging Assembly 211 and 193 Å images together with solar wind speeds for the las
Externí odkaz:
https://doaj.org/article/f78e9d5d79fc48c080d2cba86f664243
Autor:
Sumiaya Rahman, Seungheon Shin, Hyun-Jin Jeong, Ashraf Siddique, Yong-Jae Moon, Eunsu Park, Jihye Kang, Sung-Ho Bae
Publikováno v:
The Astrophysical Journal, Vol 948, Iss 1, p 21 (2023)
This study is the first attempt to generate a three-dimensional (3D) coronal electron density distribution based on the pix2pixHD model, whose computing time is much shorter than that of the magnetohydrodynamic (MHD) simulation. For this, we consider
Externí odkaz:
https://doaj.org/article/a21885a2e382407d9893b07256f0217d
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 265, Iss 2, p 34 (2023)
In this study, we present the application of deep reinforcement learning to the forecasting of major solar flares. For this, we consider full-disk magnetograms at 00:00 UT from the Solar and Heliospheric Observatory/Michelson Doppler Imager (1996–2
Externí odkaz:
https://doaj.org/article/218108c3d0fc4d99902cff7a1013f31c
Autor:
Eunsu Park, Harim Lee, Yong-Jae Moon, Jin-Yi Lee, Il-Hyun Cho, Kyoung-Sun Lee, Daye Lim, Hyun-Jin Jeong, Jae-Ok Lee
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 264, Iss 2, p 33 (2023)
In this study, we suggest a pixel-to-pixel image translation method among similar types of filtergrams such as solar extreme-ultraviolet (EUV) images. For this, we consider a deep-learning model based on a fully connected network in which all pixels
Externí odkaz:
https://doaj.org/article/5c4ccf45e50a45abbe9bcf63423a369d
Autor:
Min Wook Kim, Jae Hee Yoo, Hong Je Go, Seon Woo Kim, Seung Won Jang, Hyun Jin Jeong, Jae Hong Kim
Publikováno v:
Journal of Acupuncture Research, Vol 36, Iss 2, Pp 72-79 (2019)
Background The aim of this study was to review clinical efficacy of acupuncture treatment of mild cognitive impairment. Methods Randomized controlled trials that performed acupuncture treatment for mild cognitive impairment were retrieved from 6 onli
Externí odkaz:
https://doaj.org/article/b8c6351851184033abb9dbfcd9e366db