• Fashion & Textile Research Journal
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• v.23 no.5
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• pp.545-558
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• 2021

This research analyzed the Chinese style design embodied in the collections of the new generation of fashion designers shown during the Shanghai Fashion Week to improve the understanding of Chinese style and the modernization of Chinese design. The research questions were 1) studying the development of the Chinese fashion industry chronologically and investing young designers' current situation, 2) investigating young designers' awareness of Chinese style and analyzing Chinese style design in collections. A literature and case study were conducted as the research method. The literature study focused on the books about the Chinese fashion industry and history, newspaper, articles, and so on. The case study was conducted among 63 Chinese style collections in 2016-2020 SFW by investigating fashion magazine reviews, articles, and so on. The findings are as follows: 1) Young Chinese fashion designers' awareness of Chinese style has three characteristics; the nonmaterial tendency from decreasing stereotyped images, combination of traditional culture and local youth culture, and commercialization with trends. 2) Chinese elements, including natural, character, and cultural elements were predominantly used in the concept, pattern, and shape. Nonmaterial characteristics were identified in concept, cultural combination characteristics in concept, shape, color, material, and pattern, and trend commercialization in shape, color, and pattern. In conclusion, Chinese young fashion designers had strong national consciousness and new awareness of Chinese style fashion in decreasing the stereotyped images of China. Thus, they used more varied expressions. Meanwhile, they faced difficulties in expressing nonmaterial Chinese elements by balancing them with Chinese style and globalization.

• Korean Journal of Heritage: History & Science
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• v.35
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• pp.320-343
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• 2002

In Seoul city, The maul-gut(마을굿) called bugundang-gut(부군당굿) have been transmitted by people lived on the banks of han-river. The purpose of this document is to make a study the present meaning of bugundang-gut that have been transmitted in metropolitan city. The bugundang-gut was the official ritual in a government office during the Chosun dynasty. However, the bugundang-gut had been spread along kyunggang(경강, Han-river in Seoul) in the late Chosun period. At that times, the population kyunggang area was increased with the inflow of outside population and the commercial destrict was extended to many district along kyunggang. The main points of this study are as follows. Firstly, I investigate that bugundang-gut have been transmitted by a Seoulite to the backbone. They are the main body of bugundang-gut transmitting from generation to generation. Secondly, I study about nami-janggun-sadangje(남이장군사당제) appointed to seoul city immaterial cutural properties. It is a kind of bugundang-gut. So namijanggun-sadangje was appointed to seoul city immaterial cutural properties, as it was supported by a local autonomous entity. Thirdly, I investigate a plan that can be handed down an offspring in seoul city. We must revise the cultural properties system like that of Japan. Even though many bugundang-gut isn't appointed to cutural propertie except nami-janggun-sadangje, we must recognize their importance and keep a record character of bugundang-gut by investigation in detail. Fourthly, I think that bugundang-gut must be developed a regional public holiday. If it is developed a regional public holiday, many young person can be take part in bugundang-gut.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.6
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• pp.774-784
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• 2021

The object detection and recognition process is a very important task in the field of computer vision, and related research is actively being conducted. However, in the actual object recognition process, the recognition accuracy is often degraded due to the resolution mismatch between the training image data and the test image data. To solve this problem, in this paper, we designed and developed an integrated object recognition and super-resolution framework by proposing an image super-resolution technique to improve object recognition accuracy. In detail, 11,231 license plate training images were built by ourselves through web-crawling and artificial-data-generation, and the image super-resolution artificial neural network was trained by defining an objective function to be robust to the image flip. To verify the performance of the proposed algorithm, we experimented with the trained image super-resolution and recognition on 1,999 test images, and it was confirmed that the proposed super-resolution technique has the effect of improving the accuracy of character recognition.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.53-62
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• 2022

Disposition Effect (DE) is one of the many investment biases, wherein the investors sell the profitable stocks rather quickly and they tend to hold on the loss making stocks. Various factors related to the DE are the character of investors applying risk management which is also influenced by the social media, Salient Shock (COVID-19), and in the specific case of Indonesia, the phenomenon of rumor stocks wherein the price can rise as much as up to 8500%. The study aims to provide empirical evidence regarding the DE with specific explanatory factors, namely investor behavior and rumors. Data was obtained through a questionnaire sent to 248 Indonesian Stock Exchange Investors (IDX) during the period October-November 2021 by using Ordinary Least Square (OLS) method. The results show: Generation Z, women, and investors with a low education has a greater DE, risk-takers tend to have lower DE, and professionals have negative DE. Implementation of risk management will reduce DE. Social Media and the COVID-19 situation positively affect DE. Especially on stock rumors, there is evidence that investors who own rumor stocks will have a low DE. The results indicate the need for: (i) risk management, especially for Z Generation, women and low education Investors, (ii) to provide positive information so that information on social media can be responded to positively.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.5
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• pp.124-130
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• 2017

Character encoding is the method used to represent characters or symbols on a computer, and there are many encoding detection software tools. For the widely used encoding detection software"uchardet", the accuracy of encoding detection of unmodified normal text document is 91.39%, but the accuracy of language detection is only 32.09%. Also, if a text document is encrypted by substitution, the accuracy of encoding detection is 3.55% and the accuracy of language detection is 0.06%. Therefore, in this paper, we propose encoding and language detection of text document using the deep learning algorithm called LSTM(Long Short-Term Memory). The results of LSTM are better than encoding detection software"uchardet". The accuracy of encoding detection of normal text document using the LSTM is 99.89% and the accuracy of language detection is 99.92%. Also, if a text document is encrypted by substitution, the accuracy of encoding detection is 99.26%, the accuracy of language detection is 99.77%.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.25-37
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• 2024

This study proposes a novel automation system that integrates Optical Character Recognition (OCR) and Retrieval-Augmented Generation (RAG) technologies to enhance the efficiency of the ESG (Environmental, Social, and Governance) document review process. The proposed system improves text recognition accuracy by applying an ensemble model-based image preprocessing algorithm and hybrid information extraction models in the OCR process. Additionally, the RAG pipeline optimizes information retrieval and answer generation reliability through the implementation of layout analysis algorithms, re-ranking algorithms, and ensemble retrievers. The system's performance was evaluated using certificate images from online portals and corporate internal regulations obtained from various sources, such as the company's websites. The results demonstrated an accuracy of 93.8% for certification reviews and 92.2% for company regulations reviews, indicating that the proposed system effectively supports human evaluators in the ESG assessment process.

• (The) Research of the performance art and culture
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• no.23
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• pp.185-212
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• 2011

Buddhist dance (seungmu) is a crux and highlight of Korean traditional dance; its aesthetics and technique are extraordinary, and Korean dance's unique style is well expressed. The Buddhist dance, which has been descended, is divided into Han Yeong Suk style, which is designated as Important Intangible Asset Number 27, and Lee Mae Bang style. While the two dances are same one, area is difference and they have unique style because of genealogical difference. However, studies on Buddhist dance so far have focused on single style's dance, or comparison of regional aspects (Han Yeong Suk dance is from Gyeonggi and Lee Mae Bang dance is from Honam area). But, Lee Byeong Ok suggested traditional artist dance is differed by male dance genealogy and female dance (gibang) genealogy dance, and while folk dance has storng tie with region, but artist dance has weak regional tie. Therefore, the purpose of this thesis is to study genealogical character of Buddhist dance's dancing style, clarifying Han Yeong Suk dance is male dance genealogy and Lee Mae Bang dance is gibang dance genealogy. In other words, among three theses that compared Lee Mae Bang and Han Yeong Suk dances, one analyzing movement, one comparing dance of invocation and one comparing traditional ballad, are re-analyzed from genealogical perspective and characteristics are comparatively analzyed. The overall summary of the genealogical attitude of the Han Yeong Suk and Lee Mae Ban dances is; First, Han's dance has masculinity, upwardness, progressiveness, activeness, outgoing character, boldness and grace, which are character of male dance lineage, while Lee's dance shows feminity, downwardness, backwardness, aesthecity, inwardness, delicacy and coquette. Second, the most expressed parts of the attitude of two dances are genealogical character, and then are original and regional characters. Third, two dances have strong genealogical attitude, but also has anti-genealogical attitude since the gender of descendent was changed, in other words Lee Mae Bang was man, and Han Yeong Suk was woman. Fourth, even though the two Buddhist dances have different genealogy and region, they share similarities as traditional dance descended in the same time period, so there are many common features. In other words, the two dances are Korean nation's dance and from same time period, but they should not be mixed, either. Even though they have small differences, they must keep each genealogy and descend to the next generation.

• Journal of Advanced Navigation Technology
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• v.11 no.3
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• pp.343-349
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• 2007

This paper addressed a recognition method of land registration map based on fuzzy inference scheme, which is able to solve the time complexity problem of typical method [Fig. 2]. Not only line color, thickness but also number, character are used as a fuzzy input parameter. It concentrated on generation of fuzzy association map, and useful informations are extracted result from fuzzy inference. These results are precedent process for estimating the construction space and restoring 3D automatic modeling. It can also utilize to the internet service acceleration propulsion business such as u-Gov based land registration service.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.852-858
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• 2006

전통적으로 3차원 애니메이션에서 캐릭터의 동작에 관한 연구는 주로 동작의 사실적인 표현에 중점을 두고 있다. 그러나 이러한 사실적인 애니메이션은 전통적인 2차원 애니메이션에 익숙한 관객들이 어색함을 느끼는 원인이 되기도 한다 이로 인해 전통적인 2차원 애니메이션의 기법을 3차원 애니메이션에 적용하는 비사실적 (non photorealistic) 애니메이션 기법이 연구되고 있다. 본 논문에서는 전통적인 2차원 애니메이션기법 중 하나인 기대 효과(anticipation effect)를 3차원 애니메이션의 캐릭터 동작에 적용하는 자동화된 방법을 제시한다. 전통적인 2차원 애니메이션 기법에 따르면 기대 효과는 애니메이션을 더 설득력 있고 풍부하게 만드는 역할을 한다고 알려져 있다. 기대 효과는 주요한 동작이 일어나기 이전에 반대 방향의 동작이 이루어지는 것으로 나타난다. 3차원 애니메이션에서 캐릭터의 동작은 각 관절의 회전과 캐릭터 중심의 이동으로 표현되기 때문에, 주요한 동작에 대하여 각 관절의 회전과 캐릭터 중심의 이동에서 반대 방향의 움직임을 찾아 주요한 동작 이전에 연결하는 것으로 기대 효과의 동작을 표현할 수 있다. 모션 캡쳐나 키 프레임 방법을 통해 미리 제작된 애니메이션 파일로부터 기대효과를 생생하기 위해 동작 데이터를 분석하여, 기대 효과의 추가가 필요한 주요 동작의 각 관절별 회전을 외삽하여 반대 방향의 회전 움직임을 생생하고 무게 중심의 이동을 예측하여 주요 동작과 반대 방향의 움직임을 갖는 기대 동작을 생성한다. 이후, 생성된 기대 동작과 원래의 동작을 기대 효과의 타이밍을 고려하여 합성하는 것으로 기대효과가 포함된 자연스러운 애니메이션 동작을 얻을 수 있다.

• The Research Journal of the Costume Culture
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• v.15 no.5
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• pp.781-795
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• 2007

The purpose of this study is not only to widen and deepen the understanding of external environments of hairstyle but also to provide the basis of understanding and perspicacity as to the hairstyle which will be created under the influence of new music by contemplating distinctions between Glam Fashion and Punk Fashion of 1970s and by comparing and analyzing distinctions between Glam Hairstyle and Punk Hair Style of 1970s. As the method of this study, first of all four common factors, which are resistance, androgynous, beauty of ugliness and pursuit of pleasure through persona, were able to be ed from both Glam Fashion and Punk Fashion of 1970s, and then by using that factors as analyzing instrumental frame, the above two hairstyles were compared and analyzed through photographic materials in this study. According to the results of comparing and analyzing two hairstyles above, in Glam Hairstyle, the androgynous character is the most remarkable distinction. They tried to overturn the gender role by challenging the traditional color and form of hairstyle. In funk Hairstyle, the resistance is the most prominent distinction. They expressed their group identity resisting a pre-existing generation by putting on threatened and aggressive hairstyle.