• The Korean Journal of Community Living Science
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• v.12 no.1
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• pp.23-27
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• 2001

This study is designed to find out the physicochemical quality and the morphological features of Korean wheat flour and imported wheat flour with a view to shed light on their difference. In terms of components, Korean wheat flour and imported wheat flour are similar, but the latter turns out to be better than the former when it comes to crude protein, the ratio of water absorption and the power of maintenance. Yet Korean wheat flour turns out to be better than imported wheat flour. In terms of the chromaticity of wheat flour, the latter turns out to be higher than the former when it comes to L value, while the former turns out to be higher than the latter when it comes to a value and b value. In terms of the morphological features of wheat flour, both are in the shape of an oval with starch particles irregularly attached to gluten. And imported wheat flour is getter than Korean wheat flour in terms of the size of particles.

• Journal of Korea Multimedia Society
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• v.24 no.10
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• pp.1319-1325
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• 2021

It is important to remove fog for accurate object recognition and detection during preprocessing because images taken in foggy adverse weather suffer from poor quality of images due to scattering and absorption of light, resulting in poor performance of various vision-based applications. This paper proposes an end-to-end deep learning-based single image de-fogging method using U-Net architecture. The loss function used in the algorithm is a loss function based on Mahalanobis distance with fog features, which solves the problem of domain shifts, and demonstrates superior performance by comparing qualitative and quantitative numerical evaluations with conventional methods. We also design it to generate fog through the VGG19 loss function and use it as the next training dataset.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.81.2-81.2
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• 2021

Emission features formed through Raman scattering with atomic hydrogen provide unique and crucial information to probe the distribution and kinematics of a thick neutral region illuminated by a strong far-ultraviolet radiation source. We introduce a new 3-dimensional Monte-Carlo code to describe the radiative transfer of line photons subject to Raman and Rayleigh scattering with atomic hydrogen. In our Sejong Radiative Transfer through Raman and Rayleigh Scattering (STaRS) code, the position, direction, wavelength, and polarization of each photon is traced until escape. The thick neutral scattering region is divided into multiple cells. Each cell is characterized by its velocity and density, which ensures flexibility of the code in analyzing Raman-scattered features formed in a neutral region with complicated kinematics and density distribution. We are continuously developing STaRS to adopt the absorption and scattering effect by dust. This presentation introduces STaRS and its current state and study.

• The Bulletin of The Korean Astronomical Society
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• v.22
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• pp.6-6
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• 1997

• Journal of the Speleological Society of Korea
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• no.73
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• pp.45-47
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• 2006

The modern people spend more time with heir family on weekends, and this changed the perspective toward leisure and tourism. Along with this, the recognition toward tourism resources have underwent various modifications with the increasing number of family tourists. Caves are categorized as lava tube (formed by volcano activity), lime stone cave(formed by absorption of water into underground level), sea cave (formed by wave erosion) and artificial cave that were made for the fluent traffic activity of railways or roads. Caves manifest characteristics of tourism as a natural resources and tourism as a humanity study, so caves are valuable as a multipurpose tourism resource.

• Publications of The Korean Astronomical Society
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• v.27 no.4
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• pp.263-264
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• 2012

We present the properties of dust and the near-infrared spectral features in nearby early-type galaxies. The properties of dust are obtained from the AKARI far-infrared all-sky survey diffuse map. The AKARI/IRC is used for the near-infrared spectra. We improve spectral data with the new dark subtraction method on the basis of the knowledge acquired in our laboratory experiments of the engineering-model detector for the IRC. We have succeeded in fitting the continuum by a power-law function and detecting CO and SiO absorption features in early-type galaxy spectra. Comparing the properties of dust and near-infrared spectral features, we find that the power-law slope depends on dust temperature, but not on the dust mass, which suggests that low-luminosity AGNs may contribute to the changes in the power-law slope and dust temperature.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.7
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• pp.1162-1174
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• 2010

Excavated gold brocade, often shows signs of serious damage and contamination from environmental factors such as exposure to soil or human remains. Therefore, most of the conservation procedures are focused on the consolidation of the gold thread and on cleaning with water or organic solvents. Indiscreet cleaning using solvents could damage the gold leaf, which identifies the features of fabric. There is a need to develop cleaning protocols appropriate for relics through the careful analysis of the condition of the relics. This study finds the appropriate cleaning method for the excavated gold brocade. Four different cleaning methods, vacuum cleaning, kneaded rubber eraser cleaning, immersion wet cleaning, and absorption wet cleaning were applied to the excavated gold brocade. The degree of cleaning and damage were examined depending on the cleaning methods, changes to the physical condition (before and after cleaning) were also analyzed through the surface observation. Although immersion cleaning showed the best cleaning result, this method had a risk of damage to the gold thread. Absorption wet cleaning safely eliminated the various soluble contaminants and the rotten smell of relics. Kneaded rubber eraser was suitable for the excavated gold brocade fabric because it can be applied to selective parts, intentionally excluding some sensitive parts such as the gold thread. The vacuum cleaning method required special attention because of a possibility of suctioning off loosely attached gold leaf. Dual cleaning, the kneaded rubber eraser cleaning, followed by the absorption cleaning was the most effective method to preserve and clean excavated gold brocade.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.2
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• pp.73.2-73.2
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• 2011

We present a new database of absorption and emission-line measurements based on the entire spectral atlas from the Sloan Digital Sky Survey (SDSS) 7th data release of galaxies within a redshift of 0.2. Our work makes use of the publicly available penalized pixel-fitting(pPXF) and gas and absorption line fitting (gandalf) IDL codes, aiming to improve the existing measurements for stellar kinematics, the strength of various absorption-line features, and the flux and width of the emissions from different species of ionized gas. Our fit to the stellar continuum uses both standard stellar population models and empirical templates obtained by combining a large number of stellar spectra in order to fit a subsample of high-quality SDSS spectra for quiescent galaxies. Furthermore, our fit to the nebular spectrum includes an exhaustive list of both recombination and forbidden lines. Foreground Galactic extinction is implicitly treated in our models, whereas reddening in the SDSS galaxies is included in the form of a simple dust screen component affecting the entire spectrum that is accompanied by a second reddening component affecting only the ionised gas emission. Most notable of our work is that, we provide quality of the fit to assess reliability of the measurements. The quality assessment can be highly effective for finding new classes of objects. For example, based on the quality assessment around the Ha and [NII] nebular lines, we found approximately 1% of the SDSS spectra which classified as "galaxies" by the SDSS pipeline are in fact type I Seyfert AGN.

• Journal of The Korean Astronomical Society
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• v.54 no.5
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• pp.139-155
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• 2021

We present an updated version of the multilayer spectral inversion (MLSI) recently proposed as a technique to infer the physical parameters of plasmas in the solar chromosphere from a strong absorption line. In the original MLSI, the absorption profile was constant over each layer of the chromosphere, whereas the source function was allowed to vary with optical depth. In our updated MLSI, the absorption profile is allowed to vary with optical depth in each layer and kept continuous at the interface of two adjacent layers. We also propose a new set of physical requirements for the parameters useful in the constrained model fitting. We apply this updated MLSI to two sets of Hα and Ca II line spectral data taken by the Fast Imaging Solar Spectrograph (FISS) from a quiet region and an active region, respectively. We find that the new version of the MLSI satisfactorily fits most of the observed line profiles of various features, including a network feature, an internetwork feature, a mottle feature in a quiet region, and a plage feature, a superpenumbral fibril, an umbral feature, and a fast downflow feature in an active region. The MLSI can also yield physically reasonable estimates of hydrogen temperature and nonthermal speed as well as Doppler velocities at different atmospheric levels. We conclude that the MLSI is a very useful tool to analyze the Hα line and the Ca II 8542 line spectral daya, and will promote the investigation of physical processes occurring in the solar photosphere and chromosphere.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.46.3-47
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• 2021

Recently a multilayer spectral inversion (MLSI) model has been proposed to infer the physical parameters of plasmas in the solar chromosphere. The inversion solves a three-layer radiative transfer model using the strong absorption line profiles, H alpha and Ca II 8542 Å, taken by the Fast Imaging Solar Spectrograph (FISS). The model successfully provides the physical plasma parameters, such as source functions, Doppler velocities, and Doppler widths in the layers of the photosphere to the chromosphere. However, it is quite expensive to apply the MLSI to a huge number of line profiles. For example, the calculating time is an hour to several hours depending on the size of the scan raster. We apply deep neural network (DNN) to the inversion code to reduce the cost of calculating the physical parameters. We train the models using pairs of absorption line profiles from FISS and their 13 physical parameters (source functions, Doppler velocities, Doppler widths in the chromosphere, and the pre-determined parameters for the photosphere) calculated from the spectral inversion code for 49 scan rasters (~2,000,000 dataset) including quiet and active regions. We use fully connected dense layers for training the model. In addition, we utilize a skip connection to avoid a problem of vanishing gradients. We evaluate the model by comparing the pairs of absorption line profiles and their inverted physical parameters from other quiet and active regions. Our result shows that the deep learning model successfully reproduces physical parameter maps of a scan raster observation per second within 15% of mean absolute percentage error and the mean squared error of 0.3 to 0.003 depending on the parameters. Taking this advantage of high performance of the deep learning model, we plan to provide the physical parameter maps from the FISS observations to understand the chromospheric plasma conditions in various solar features.