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Application of Deep Learning to Solar Data: 6. Super Resolution of SDO/HMI magnetograms

  • Rahman, Sumiaya;Moon, Yong-Jae;Park, Eunsu;Jeong, Hyewon;Shin, Gyungin;Lim, Daye
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.52.1-52.1
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    • 2019
  • The Helioseismic and Magnetic Imager (HMI) is the instrument of Solar Dynamics Observatory (SDO) to study the magnetic field and oscillation at the solar surface. The HMI image is not enough to analyze very small magnetic features on solar surface since it has a spatial resolution of one arcsec. Super resolution is a technique that enhances the resolution of a low resolution image. In this study, we use a method for enhancing the solar image resolution using a Deep-learning model which generates a high resolution HMI image from a low resolution HMI image (4 by 4 binning). Deep learning networks try to find the hidden equation between low resolution image and high resolution image from given input and the corresponding output image. In this study, we trained a model based on a very deep residual channel attention networks (RCAN) with HMI images in 2014 and test it with HMI images in 2015. We find that the model achieves high quality results in view of both visual and measures: 31.40 peak signal-to-noise ratio(PSNR), Correlation Coefficient (0.96), Root mean square error (RMSE) is 0.004. This result is much better than the conventional bi-cubic interpolation. We will apply this model to full-resolution SDO/HMI and GST magnetograms.

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CME mean density and its change from the corona to the Earth

  • Na, Hyeonock;Moon, Yong-Jae
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.1
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    • pp.50.2-50.2
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    • 2019
  • Understanding three-dimensional structure and parameters (e.g., radial velocity, angular width, source location and density) of coronal mass ejections (CMEs) is essential for space weather forecast. In this study, we determine CME mean density in solar corona and near the Earth. We select 38 halo CMEs, which have the corresponding interplanetary CMEs (ICMEs), by SOHO/LASCO from 2000 to 2014. To estimate a CME volume, we assume that a CME structure is a full ice-cream cone which is a symmetrical circular cone combined with a hemisphere. We derive CME mean density as a function of radial height, which are approximately fitted to power-law functions. The average of power-law indexes is about 2.1 in the LASCO C3 field of view. We also obtain power-law functions for both CME mean density at 21 solar radii and ICME mean density at 1AU, with the average power-law index of 2.6. We estimate a ratio of CME density to background density based on the Leblanc et al.(1998) at 21 solar radii. Interestingly, the average of the ratios is 4.0, which is the same as a default value used in the WSA-ENLIL model.

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An Analysis on the Collision of Urban tissue at Urban Redevelopment Area - Focused on the area inside of four main gates of Seoul - (도심 재개발 지역에서 도시조직 간 충돌에 관한 연구 - 서울 사대문 안을 중심으로 -)

  • Chang, Sung-Su;Kim, Seung-Hoy
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.12
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    • pp.115-125
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    • 2019
  • Most of construction at urban area is now undertaking a redevelopment because currently the most of city is full. But the research about the collision of urban tissue at urban redevelopment area are very limited and there are many issues at urban redevelopment area. So the purpose of this study is to analyze the collision between different urban tissue at urban redevelopment area and suggest proper method for urban redevelopment. The area inside of four main gates, especially Chung Jin, Gong pyeong, Mu gyo- Da dong district are selected to analyze because the area inside of these gates is the oldest urban redevelopment area and each of them has a different redeveloped method. And current status of research area's urban tissue and collision situation are analyzed by macro and micro scale of view. The results of this study were as follows; Ignoring the timeline of the urban redevelopment process can be a major issue in collision between urban tissue. Therefore, the consideration of intermediate stage of redevelopment process is needed by making public area, a temporal use of vacant lot and changing architectural elements can make a harmony between different urban tissue.

Mukbang's Foodcasting beyond Korea's Borders: A Study Focusing on OTT Platforms

  • Lim, Jia
    • Journal of Information Processing Systems
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    • v.18 no.4
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    • pp.470-479
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    • 2022
  • Mukbang is a type of foodcasting where a host records or streams their eating rituals for audience consumption in live format. With origins in South Korea via the online broadcast genre found on Afreeca TV in the mid-2000s, the phenomenon has since found global popularity. Its development as a full-fledged genre is based on a communication culture that invites people to a meal rather than to talk to one another; viewers watch in silence as a host consumes a copious number of dishes from Korean gastronomy to fast food to other ethnic cuisine on display. An invitation to eat means the beginning of a public relationship that quickly turns to a private shared experience. This study analyzes several Mukbang video postings and makes use of Linden's culture approach model to provide a view toward a number of cross-cultural connections by Koreans and non-Korean audiences. Prior to the study, 10 Korean eating shows were selected and used as standard models. Korean Mukbang mainly consists of eating behavior and ASMR, with very few storytelling or narrative devices utilized by its creators. For this reason, eating shows make a very private connection. In other ways, this paper shows how 28 Mukbang-related YouTube contents selected by Ranker were evolving and examined through notions of acculturation and reception theory.

A study on digital transformation of SMEs from the perspective of information technology

  • PAN, Xiao-Yan
    • Fourth Industrial Review
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    • v.2 no.1
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    • pp.33-43
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    • 2022
  • Purpose - With the rapid development of information technology, the digital economy has become an important grip of the new development pattern, and the digital transformation of enterprises is a major trend. As SMEs are the mainstay of the economy and employment, it is important to study the digital transformation of SMEs to promote the development of the digital economy. Research design, data, and methodology - Based on a resource-based view, this report analyses the current situation and issues of digital transformation of SMEs from the perspective of digital orientation as well as the breadth and depth of technological capabilities of enterprises, using data from a survey of 200 manufacturing enterprises in China. Result - The results show that SMEs generally have a digital transformation mindset, but a weak digital foundation. In order to execute a digital strategy, companies need digital transformation capabilities. These behavioral capabilities are guided by the strategic direction of the business, and companies with strong capabilities are always trying to tap into the full digital potential. Conclusion - In order to effectively promote the digital transformation of SMEs, we suggest that SMEs pay attention to digital capability building, make good use of digital platforms and network resources, and lay a solid foundation for digital transformation; meanwhile, we suggest that government departments play a guiding and supporting role to build a cross-industry and cross-sector digital synergy system to help promote the development of SMEs' digital transformation. This paper presents some suggestions from both the internal and external environment of the enterprise, with the expectation of contributing to the digital transformation practices of SMEs.

Application of Image Super-Resolution to SDO/HMI magnetograms using Deep Learning

  • Rahman, Sumiaya;Moon, Yong-Jae;Park, Eunsu;Cho, Il-Hyun;Lim, Daye
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.70.4-70.4
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    • 2019
  • Image super-resolution (SR) is a technique that enhances the resolution of a low resolution image. In this study, we use three SR models (RCAN, ProSRGAN and Bicubic) for enhancing solar SDO/HMI magnetograms using deep learning. Each model generates a high resolution HMI image from a low resolution HMI image (4 by 4 binning). The pixel resolution of HMI is about 0.504 arcsec. Deep learning networks try to find the hidden equation between low resolution image and high resolution image from given input and the corresponding output image. In this study, we trained three models with HMI images in 2014 and test them with HMI images in 2015. We find that the RCAN model achieves higher quality results than the other two methods in view of both visual aspects and metrics: 31.40 peak signal-to-noise ratio(PSNR), Correlation Coefficient (0.96), Root mean square error (RMSE) is 0.004. This result is also much better than the conventional bi-cubic interpolation. We apply this model to a full-resolution SDO/HMI image and compare the generated image with the corresponding Hinode NFI magnetogram. As a result, we get a very high correlation (0.92) between the generated SR magnetogram and the Hinode one.

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A novel Metropolis-within-Gibbs sampler for Bayesian model updating using modal data based on dynamic reduction

  • Ayan Das;Raj Purohit Kiran;Sahil Bansal
    • Structural Engineering and Mechanics
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    • v.87 no.1
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    • pp.1-18
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    • 2023
  • The paper presents a Bayesian Finite element (FE) model updating methodology by utilizing modal data. The dynamic condensation technique is adopted in this work to reduce the full system model to a smaller model version such that the degrees of freedom (DOFs) in the reduced model correspond to the observed DOFs, which facilitates the model updating procedure without any mode-matching. The present work considers both the MPV and the covariance matrix of the modal parameters as the modal data. Besides, the modal data identified from multiple setups is considered for the model updating procedure, keeping in view of the realistic scenario of inability of limited number of sensors to measure the response of all the interested DOFs of a large structure. A relationship is established between the modal data and structural parameters based on the eigensystem equation through the introduction of additional uncertain parameters in the form of modal frequencies and partial mode shapes. A novel sampling strategy known as the Metropolis-within-Gibbs (MWG) sampler is proposed to sample from the posterior Probability Density Function (PDF). The effectiveness of the proposed approach is demonstrated by considering both simulated and experimental examples.

Design of an Asymmetric-custom-surface Imaging Optical System for Two-dimensional Temperature-field Measurement

  • Guanghai Liu;Ming Gao;Jixiang Zhao;Yang Chen
    • Current Optics and Photonics
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    • v.8 no.5
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    • pp.484-492
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    • 2024
  • In response to the difficulty of synchronously obtaining multiwavelength images for fast two-dimensional (2D) temperature measurement, a multispectral framing imaging optical system is designed, based on the segmented-aperture imaging method and asymmetric surface shape. The system adopts a common-aperture four-channel array structure to synchronously collect multiwavelength temperature-field images. To solve the problem of asymmetric aberration caused by being off-axis, a model of the relationship between incident and outgoing rays is established to calculate the asymmetric custom surface. The designed focal length of the optical system is 80 mm, the F-number is 1:3.8, and the operating wavelength range is 0.48-0.65 ㎛. The system is divided into four channels, corresponding to wavelengths of 0.48, 0.55, 0.58, and 0.65 ㎛ respectively. The modulation transfer function value of a single channel lens is higher than 0.6 in the full field of view at 35 lp/mm. The experimental results show that the asymmetric-custom-surface imaging system can capture clear multiwavelength images of a temperature field. The framing imaging system can capture clear images of multiwavelength temperature fields, with high consistency in images of different wavelengths. The designed optical system can provide reliable multiwavelength image data for 2D temperature-field measurement.

Okdong Lee Seo's Historical View Examined through Yeokdaega (「역대가(歷代歌)」를 통해 본 옥동(玉洞) 이서(李漵)의 역사인식(歷史認識))

  • Yoon, Jaehwan
    • (The)Study of the Eastern Classic
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    • no.57
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    • pp.331-357
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    • 2014
  • This paper is to examine Okdong Lee Seo's historical view through analyzing Yeokdaega("歷代歌"), Okdong's full-length historical epic. As long as Okdong Lee Seo was a Confucian scholar holding moral cultivation as the highest value, his Yeokdaega is hard to explain separately from the Confucian world view. Okdong's Yeokdaega is a long old-style sino-korean poem consisting of 526 7-syllable verses, yet it considerably differs in structure from other historical epics known so far. Okdong's Yeokdaega consists of two parts: the first narrates Chinese historical facts from the beginning to the fall of Ming dynasty, and the second describes the social irrationality of the time and reveals his strong social criticism. It is very different from an ordinary historical epic piece narrating the orders and disorders and the rise and fall of historical facts. It is thought that Okdong's Yeokdaega was written based on his Confucian historical view. It seems that for Okdong the rise and fall of Chinese historical dynasties did not merely mean historical facts but functioned as a tool explaining the reason for people to persue moral cultivation. Okdong summed up his knowledge of the rise and fall of Chinese historical dynasties, his sharp criticism on social irrationality, and his stimulation about the necessity of moral cultivation, and then created a long 526-verse historical epic Yeokdaega. For the reasons, it is not easy to say that Okdong's Yeokdaega is the result of pure literary activities only for artistry. However, Okdong's Yeokdaega is not inferior to other historical epic pieces written by the time in literary value. Especially, Okdong's Yeokdaega can be said to be more meaningful since it was, over its literary value, not only a tool to strengthen his own study and will but also a educational tool for others around himself.

Conversional Aspect of The Theme Space Based on Visual Image Content:A Focus on Representation through Adaptation (영상콘텐츠에서 테마공간으로의 전환 양상:각색을 통한 재현을 중심으로)

  • Shin, Dong-Hee;Kim, Hee-Kyung
    • The Journal of the Korea Contents Association
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    • v.12 no.4
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    • pp.186-197
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    • 2012
  • The purpose of the thesis is to answer the question on how the visual image content, being the original content, should be adapted to and represented as a spatial content. The thesis focuses on adaptation as the key in the conversion process of visual image content to a themed space. There are many published studies dealing with storytelling, adaptation from books to movies and TV shows, or from movies to games and vice versa. On the contrary, when it comes to adaptation from visual image content to spatial content, noticeably few studies were done on the method, and fewer studies view adaptation as the prior step of storytelling. This study first defines adaptation, and then applies the methods of Gianetty and Dudley which is further incorporated into the conversion of visual image content into a themed space. It then turns the attention to the characteristics of themed spaces. A case study highlights that a themed space is a spatial representation of the story, image and action in the visual image content, and analyze the type of adaptation made. The study results draws two conclusions; adaptation must be carried out prior to the storytelling of the spatial content; and opposed to a third-person view of the visual image content, the main factor in a themed space is first-hand experience. Thus, the thesis suggests that conversion from visual image content to themed spaces are not merely imitative but is a full range of recreation of a new content. It is expected that more detailed analyses on the particulars will lead to feasible outcome on implementing various methods of adaptation and bring about effective conversions between the visual image contents and themed spaces.