• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3745-3761
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• 2020

Low-rank representation methods already achieve many applications in the image reconstruction. However, for high-gradient image patches with rich texture details and strong edge information, it is difficult to find sufficient similar patches. Existing low-rank representation methods usually destroy image critical details and fail to preserve edge structure. In order to promote the performance, a new representation-based image super-resolution reconstruction method is proposed, which combines gradient domain guided image filter with the structure-constrained low-rank representation so as to enhance image details as well as reveal the intrinsic structure of an input image. Firstly, we extract the gradient domain guided filter of each atom in high resolution dictionary in order to acquire high-frequency prior information. Secondly, this prior information is taken as a structure constraint and introduced into the low-rank representation framework to develop a new model so as to maintain the edges of reconstructed image. Thirdly, the approximate optimal solution of the model is solved through alternating direction method of multipliers. After that, experiments are performed and results show that the proposed algorithm has higher performances than conventional state-of-the-art algorithms in both quantitative and qualitative aspects.

• ETRI Journal
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• v.36 no.3
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• pp.429-438
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• 2014

Semantic role labeling (SRL) is a task in natural-language processing with the aim of detecting predicates in the text, choosing their correct senses, identifying their associated arguments, and predicting the semantic roles of the arguments. Developing a high-performance SRL system for a domain requires manually annotated training data of large size in the same domain. However, such SRL training data of sufficient size is available only for a few domains. Constructing SRL training data for a new domain is very expensive. Therefore, domain adaptation in SRL can be regarded as an important problem. In this paper, we show that domain adaptation for SRL systems can achieve state-of-the-art performance when based on structural learning and exploiting a prior model approach. We provide experimental results with three different target domains showing that our method is effective even if training data of small size is available for the target domains. According to experimentations, our proposed method outperforms those of other research works by about 2% to 5% in F-score.

• Journal of Fashion Business
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• v.24 no.6
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• pp.120-134
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• 2020

Recently, the beauty industry has implemented personalized services based on skin big data. To increase competitiveness in the beauty industry, systematic data measurement and evaluation indicators are necessary to select data and obtain necessary knowledge. In response, this study sought to stably enhance the accuracy of skin diagnosis based on satisfaction and reliability. To this end, the research was conducted through focus group interviews (FGI), a case study of brands, and analysis of prior research results. In particular, as a result of analyzing keywords that classify skin types by brand, common survey items for skin types were oiliness and using moisturizer, cosmetic use and vascular of skin, external stimulus and blemish & freckles, facial wrinkle, outside activities, self-consciousness, and smoke. In additioin to the common questions of the preceding study and the brand survey items, the questions concerning complex skin types, seasonal change, facial color, wrinkles and elasticity were added, and the questions were presented in a total of 40 items. In particular, it suggested that skin measurement could be conducted by focusing on elasticity and pigmentation items by reflecting the results of prior research and the opinions of FGI, and based on this, a customized service with high satisfaction and high accuracy of beauty care based on this could be proposed. We hope that this study will facilitate active self-care by providing more satisfying skin stones and personalized cosmetics proposals, thus laying the foundation for the further development of the cosmetics industry.

• Journal of Conservation Science
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• v.32 no.3
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• pp.333-343
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• 2016

A study on conservation of outdoor painted sculptures has begun to receive attention as increasing numbers of the sculptures, but it is still in an early stage in South Korea. In the case of a painted outdoor object which has been exhibited in National Museum of Modern and Contemporary Art (MMCA), 'Black nana' produced by Niki de Saint Phalle in 1964, deterioration was observed, such as flaking and discolouration of paint layers due to ultraviolet light and a sudden temperature change during an outdoor exhibition. For this reason, prior to treatment of the sculpture, to find out the painting techniques and materials applied, cross section, FT-IR, Raman and Py-GC/Mass were conducted. As a result, the type and colour of the paint agree with results of the other studies as well as deterioration pattern. It is expected that the results of this study will be utilized for treatment proposal and conservation material selection of 'Black nana'. In addition, to determine the artist's intention of the artist, cooperation with the foundation of Niki de Saint Phalle and artist's assistants will be carried out.

• Journal of the Korean Society of Costume
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• v.50 no.7
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• pp.75-96
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• 2000

Modern clothing is approached in the level of art, and it becomes the means of expressing individuality in modern society uniformed by the development of information society. In this modern society, modern men need the recovery of humanity and expectations of handcrafted skills for the succession of tradition culture. Prior to expressing individuality, we should examine our traditional culture and combine it with western culture. Quit started to be used for practical purpose such as life items, but it is expanded to the fields of art. Used in dress and its ornaments design, quilt is often applied to the addition of aesthetic factors or cubic material feelings by transforming its warming effect. Hereby, this study has a purpose to create high value added modern dross and its ornaments design by expressing the modern clothing is approached in the level of art, and it becomes the means of expressing individuality roe-dimensional characteristics of quilt, and applying the color combination and the surface of butterfly wings to dress and its ornaments design. The following are the results of this study. 1. The concept of quilt started for practical purposes, but it is expanded to decoration in modern times, and it is confirmed that quilt can be variously applied to handcrafted modern design. 2. Quilt removes the plane character of textile and it riches the three-dimensional material of dress and its ornaments. Applying these characteristics, the expression of transparent wings were possible with 3 transparent layers of textile. 3. The spledid color of butterfly wings are expressed by coloring oganza and felt, and the various colors of felt showed rich color gradation. 4. The form and pattern of butterfly wings are applied as modeling form and line, and the transformation. repetition and expansion of unit forms determined the form of quilting lines. By designing the characteristics of back wings for the composition line of clothing, the form characteristics of a motif could be emphasized. 5. By using felt, oganza, Damdam yarn and ostritch feathers in expressing butterfly wings, the warm material of Linbun is felt, and the tip hair of wings are expressed by croche techniques using Damdam yarn.

• The Journal of Fisheries Business Administration
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• v.46 no.3
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• pp.103-118
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• 2015

The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.407-417
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• 2020

Modern art is undergoing drastic changes due to the development of digital media. In a digital media-based environment, writers are producing new works that share artistic values and experiences with audiences. In this study, it is the production of a work on interactivity that combines cutting-edge digital technology with objects. When a viewer touches an object, an LED screen connected to the object is completed. Prior to the production of the work, for theoretical consideration, the research was focused on academic paper materials, professional books at home and abroad, and internet analysis. The production of the work used Arduino and presented production circuits and programming sources for the artists to apply to the production of the work. This study is meaningful in presenting new values and possibilities in the expression of objet works.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.789-807
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• 2010

This study was carried out in order to explore possibility of artistic activity for strengthening creativity of the gifted children at home by analyzing influence of the gifted children's musical experience and interest level upon creativity. As a result of research, the gifted children's musical experience and interest level were distributed in the mid-lower rank as a whole. The mean in score of creativity was high. Among sub-spheres, originality, abstractness of titles, and resistance to premature closure were surveyed to be especially excellent. And the result of this study was indicated to be high in influence of musical experience and interest level upon creativity. Some conclusions and implications that were obtained through this study are as follows. First, to explore influence of musical experience as artistic activity upon creativity, first of all, the qualitative inspection needs to be given priority to musical activity itself, which is being experienced by the gifted children as the research subjects. Second, there is necessity of paying attention to the musical experience and interest level of the low gifted children. Third, for the gifted children prior to activation of art education, a clear reason why the art education is needed and the usefulness need to be presented.

• Journal of Conservation Science
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• v.35 no.1
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• pp.19-31
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• 2019

To study the cleaning effects and post-treatment stability assessment of various methods of cleaning textiles with metal thread, six naturally-soiled historical textiles with metal thread were investigated at the Metropolitan Museum of Art, New York. Prior to the cleaning of fabricated gold, silver, and copper thread that had been glued onto a paper substrate, the artificial deterioration was carried out in a controlled environment with light(UV and daylight), and temperature and humidity factors which would weaken and damage the samples. A synthetic soil mixture was applied to the samples to imitate soil found on the historic and archaeological textiles with metal thread; the cleaning effect and post-treatment assessment were investigated by use of three textile cleaning methods: mechanical cleaning, wet cleaning, and solvent cleaning. While investigating the naturally-soiled textiles with metal thread, it was determined that the soil colors and sizes of contaminating particles of each textile were different due to the diversity of original environmental factors and conditions. After cleaning with kneaded rubber, Stoddard solvent, n-decane or n-hexane, a bright, clean effect was apparent. Kneaded rubber was successful in picking up both large and small particles, but its stickiness caused some of the metal leaf to peel off. Stoddard solvent produced a good cleaning effect, but after use of n-hexane and n-decane in the cleaning process, a white layer of residue remained on the textile's surface. Wet cleaning was not effective and the rapid humidity changes between wet and dry conditions caused the edges of the paper substrate to lose their original shape.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.341-363
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• 2016

Haze or fog is a common natural phenomenon. In foggy weather, the captured pictures are difficult to be applied to computer vision system, such as road traffic detection, target tracking, etc. Therefore, the image dehazing technique has become a hotspot in the field of image processing. This paper presents an overview of the existing achievements on the image dehazing technique. The intent of this paper is not to review all the relevant works that have appeared in the literature, but rather to focus on two main works, that is, image dehazing scheme based on atmospheric veil and image dehazing scheme based on dark channel prior. After the overview and a comparative study, we propose an improved image dehazing method, which is based on two image dehazing schemes mentioned above. Our image dehazing method can obtain the fog-free images by proposing a more desirable atmospheric veil and estimating atmospheric light more accurately. In addition, we adjust the transmission of the sky regions and conduct tone mapping for the obtained images. Compared with other state of the art algorithms, experiment results show that images recovered by our algorithm are clearer and more natural, especially at distant scene and places where scene depth jumps abruptly.