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Application of Deep Learning to Solar Data: 1. Overview

  • Moon, Yong-Jae;Park, Eunsu;Kim, Taeyoung;Lee, Harim;Shin, Gyungin;Kim, Kimoon;Shin, Seulki;Yi, Kangwoo
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.51.2-51.2
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    • 2019

  • Multi-wavelength observations become very popular in astronomy. Even though there are some correlations among different sensor images, it is not easy to translate from one to the other one. In this study, we apply a deep learning method for image-to-image translation, based on conditional generative adversarial networks (cGANs), to solar images. To examine the validity of the method for scientific data, we consider several different types of pairs: (1) Generation of SDO/EUV images from SDO/HMI magnetograms, (2) Generation of backside magnetograms from STEREO/EUVI images, (3) Generation of EUV & X-ray images from Carrington sunspot drawing, and (4) Generation of solar magnetograms from Ca II images. It is very impressive that AI-generated ones are quite consistent with actual ones. In addition, we apply the convolution neural network to the forecast of solar flares and find that our method is better than the conventional method. Our study also shows that the forecast of solar proton flux profiles using Long and Short Term Memory method is better than the autoregressive method. We will discuss several applications of these methodologies for scientific research.

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A Study on School Location decision direction for Urban Amenity - The focus on Location relation school and park of land use planning- (도시쾌적성을 위한 학교용지의 입지결정방향에 관한 연구 - 학교용지와 공원용지와의 연관적 배치를 중점으로-)

  • Kim, Hyung Don;Kim, Sung Joong;Nam, Jung Hoon
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.8 no.1
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    • pp.34-46
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    • 2009

  • The purpose of this study was to analyze the school location decision direction for land use planning of public land development. And this research proposed the school location decision direction for urban amenity. So this research present the implication on urban planning and design for architecture, park-school complex. This study perform the relationship with land use planning out side environment of school land. This research proved the fact that the school land relationship with the park, the other school land etc. And this result will be used in decision-making-process of land use planning, public land development construction, urban design and city policy.

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Development of Biologically Active Compound from Edible Plant Sources -V. -Phytol, ACAT (Acyl-CoA: Cholesterol Acyltransferase) Inhibitory Diterpenoid From the Leaves of Lactuca sativa L.- (식용 식물자원으로부터 활성물질의 탐색-V. -상추(Lactuca sativa L.)의 ACAT 억제 Diterpenoid, Phytol-)

  • Jang, Tae-O;Bang, Myun-Ho;Song, Myoung-Chong;Hong, Yoon-Hee;Kim, Ji-Young;Chung, Dae-Kyun;Pai, Tong-Kun;Kwon, Byung-Mok;Kim, Young-Kuk;Lee, Hyun-Sun;Kim, In-Ho;Baek, Nam-Ln
    • Applied Biological Chemistry
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    • v.46 no.1
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    • pp.66-68
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    • 2003

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