• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.146-161
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• 2010

The purpose of this study was to analyze the characteristics and images of costume colors in Korean Masque Drama. For this study, 242 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed to HV/C and the attributes of color and tone were analyzed. Color images were analyzed with the IRI color image scale. As a result, neutral, red, purple blue, and yellow were found to be the most frequently used colors in the Korean Masque costumes. In the ton analysis, white tone showed high frequency and next orders were dp, s, v, b, sf. In the hue & tone, the most frequent color was white, followed by R(v), PB(dp), R(dp), YR(s), GY(s) and mGY. Color images were focused on dynamic, gorgeous, and natural images.

• Journal of Fashion Business
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• v.17 no.4
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• pp.90-106
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• 2013

This study investigated the development of eyeglasses and design transition in materials and types through literature survey. The scope of this study on the basis of the 15th century, for this study survey reaches from the 15th century to modern. The result of this study were as follows. Real magnifying glasses was first mentioned by the Arab physicist al-Hazen who was famous of his treatise on optics. The oldest documents which explicitly refer to the art of making lenses for eyeglasses and magnifying glasses were the Venetian artisans of 1300. In the 15th century someone thought to remedy the unstability of glasses by securing the bridge on the forehead. But it was only in the 17th century that someone contrived to stabilize the frame by strapping it on the face by means of fine cords that reached behind the ears. Eventually in the early years of the 18th century the English optician Edward Scarlett invented the rigid earpieces which solved once and for all the problem of holding the eyeglasses firmly in place. In the 19th century, eyeglasses' fashion were monocle and pince-nez. In the 20th century, various lenses and frames were appeared. Therefore eyeglasses to correct defective sight, sun-glasses, as well as a most succesful item among modern fashion accessories.

• Archives of design research
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• no.16
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• pp.149-158
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• 1996

Personal ornaments designing has a great influence on present-day life and culture and allied industries, but the current collges fail to provide its productive and creative programs because it is considered as just a part of metal crafts. Most colleges present programs only for producing items of pure fine art crafts, and therefore fail to present the programs that help the student to understand the related industries and their management. This study seeks to point to the problems of current personal omaments designing education in order to help to find its remedies, and tries to present long-term and short- term plans for them. I belive when the colleges develop their own suitable programs based on these plans, they will strengthen their ability to survive in this privailing open-door compryiyive world, widen their opportunities to contribute to related industries, and help the students to play better roles in the society.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.663-676
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• 2020

Plant leaf classification is a significant application of image processing techniques in modern agriculture. In this paper, a multi-granular angle description method is proposed for plant leaf classification and retrieval. The proposed method can describe leaf information from coarse to fine using multi-granular angle features. In the proposed method, each leaf contour is partitioned first with equal arc length under different granularities. And then three kinds of angle features are derived under each granular partition of leaf contour: angle value, angle histogram, and angular ternary pattern. These multi-granular angle features can capture both local and globe information of the leaf contour, and make a comprehensive description. In leaf matching stage, the simple city block metric is used to compute the dissimilarity of each pair of leaf under different granularities. And the matching scores at different granularities are fused based on quotient space theory to obtain the final leaf similarity measurement. Plant leaf classification and retrieval experiments are conducted on two challenging leaf image databases: Swedish leaf database and Flavia leaf database. The experimental results and the comparison with state-of-the-art methods indicate that proposed method has promising classification and retrieval performance.

• Journal of Contemporary Eastern Asia
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• v.20 no.2
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• pp.108-128
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• 2021

Research on the news coverage of North Korea has been paying less attention to social media platforms than to legacy media. An increasing number of social media users post, retweet, share, interpret, and set agendas on North Korea. The accessibility of international users and North Korea's publicity purposes make social media a venue for expression, news diversity, and framing about the nation. This study examined the sentiment of Twitter posts on North Korea from a framing perspective and the relationship between network strengths and sentiment from a social network perspective. Data were collected using two tools: Jupyter Notebook with Python 3.6 for preliminary analysis and NodeXL for main analysis. A total of 11,957 tweets, 10,000 of which were collected using Python and 1,957 tweets using NodeXL, about North Korea between June 20-21, 2020 were collected. Results demonstrated that there was more negative sentiment than positive sentiment about North Korea in the sampled Twitter posts. Some users belonging to small network sizes reached out to others on Twitter to build networks and spread positive information about North Korea. Influential users tended to be impartial to sentiment about North Korea, while some Twitter users with a small network exhibited high percentages of positive words about North Korea. Overall, marginalized populations with network bonding were more likely to express positive sentiment about North Korea than were influencers at the center of networks.

• Cross-Cultural Studies
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• v.25
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• pp.597-626
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• 2011

Civil college is a public educational institute for theoretical and practical learning. This study examines the social context behind France's civil college and how it is being operated. Many studies have been conducted in Korea to examine Germany in terms of lifelong learning or adult learning, but there is almost no study on France. Therefore, this study was conducted to analyze the history and operation of civil college, the "college outside college," in France and what Korea should learn from it. The civil college of France can be discussed in two contexts: first, it is AUPF, which stands for the French association of civil colleges, and it was mostly influenced by Northern Europe and Germany. Second, it is Caen Civil College, which was established by M. Onfray based his philosophical collaboration. The European civil college opened almost 1,000 courses in 2010-2011 for a variety of subjects, including Foreign Languages, Mother Tongue, the Dialects of Alsace, Philosophy, Cosmology, History, Art History, Psychology, Sociology, Astronomy, Botany, and Natural Science. Courses in Fine Arts include drawing, painting, sculpture, photography, music, and theater. For another form of civil college, Philosopher M. Onfray has been operating Caen Civil College since 2002 for general education and cultural education. It is not acknowledged by conventional philosophers, but it is contributing to the popularization of philosophy. In conclusion, the civil college in France has brought in-depth philosophical discussions out of the lecture rooms in an effort to popularize learning, making lifelong learning more accessible to the general public.

• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.655-664
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• 2019

In this paper, we propose a novel way of combining multiple deep convolutional neural network (DCNN) architectures which work well for accurate video face identification by adopting a serial combination of 3D and 2D DCNNs. The proposed method first divides an input video sequence (to be recognized) into a number of sub-video sequences. The resulting sub-video sequences are used as input to the 3D DCNN so as to obtain the class-confidence scores for a given input video sequence by considering both temporal and spatial face feature characteristics of input video sequence. The class-confidence scores obtained from corresponding sub-video sequences is combined by forming our proposed class-confidence matrix. The resulting class-confidence matrix is then used as an input for learning 2D DCNN learning which is serially linked to 3D DCNN. Finally, fine-tuned, serially combined DCNN framework is applied for recognizing the identity present in a given test video sequence. To verify the effectiveness of our proposed method, extensive and comparative experiments have been conducted to evaluate our method on COX face databases with their standard face identification protocols. Experimental results showed that our method can achieve better or comparable identification rate compared to other state-of-the-art video FR methods.

• The Korean Journal of Archival Studies
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• no.60
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• pp.239-281
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• 2019

Percival Lowell was the first foreigner who came into Korea with a camera in 1883 and left about 80 of photographic materials. The materials have not been studied even though all of them are the only and first in the history of Korea. Most of the materials archived by Putnam Collection Center in America are offered on-line with wrong explanations and referred by writers and researchers. So that I studied the contents of the photographic materials and suggest corrected explanations to the Center.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1275-1292
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• 2021

As a fine-grained classification problem, aspect-level sentiment classification predicts the sentiment polarity for different aspects in context. To address this issue, researchers have widely used attention mechanisms to abstract the relationship between context and aspects. Still, it is difficult to effectively obtain a more profound semantic representation, and the strong correlation between local context features and the aspect-based sentiment is rarely considered. In this paper, a hybrid attention capsule network for aspect-level sentiment classification (ABASCap) was proposed. In this model, the multi-head self-attention was improved, and a context mask mechanism based on adjustable context window was proposed, so as to effectively obtain the internal association between aspects and context. Moreover, the dynamic routing algorithm and activation function in capsule network were optimized to meet the task requirements. Finally, sufficient experiments were conducted on three benchmark datasets in different domains. Compared with other baseline models, ABASCap achieved better classification results, and outperformed the state-of-the-art methods in this task after incorporating pre-training BERT.

• International Journal of Advanced Culture Technology
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• v.10 no.4
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• pp.219-225
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• 2022

In November 1983, Deng Sanmu's wife, Zhang Jianquan, donated a large number of Deng Sanmu's original seal carving stones and seal cutting scores to the Heilongjiang Provincial Museum in China. Therefore, the Heilongjiang Provincial Museum of China is the richest and most authoritative place to collect Deng Sanmu's original seal cutting stones and seal carving scores. According to the fieldwork, the original seal cutting stones and the seal cutting score donated by Deng Sanmu's wife, Zhang Jianquan, include Deng Sanmu's seal cutting inscriptions made between 1922 and 1963. In addition, Deng Sanmu's own life and career in the art are documented in detail in his markings, so the seal cutting inscriptions of Deng Sanmu in the collection of the Heilongjiang Provincial Museum of China are quite representative. We paper is a documentary review and study of the seal inscriptions of Deng Sanmu in the collection of the Heilongjiang Provincial Museum in China. For the accuracy and richness of this study, a total of 89 representative seals in the collection are used as primary sources to study Deng Sanmu's seal cutting emulation method. The specific content is centered on ancient seals, Qin seals, and Han seals, from which the lineage of Deng Sanmu's emulation methods of seal cutting is further clarified.