• Journal of English Language & Literature
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• v.54 no.1
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• pp.149-167
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• 2008

Korea has persisted in the notion of "ethnic nationalism." That is "one race, one people, one language" as a homogeneous entity. This social ideal of unity prevails, even in overseas Korean communities formed by voluntary and involuntary displacement in the turmoil of modern history: communities made intermittent with the Japanese colonial occupation and with postcolonial encounters with the West. Given that the Korean people suffered from the trauma of deprivation of the language caused by the loss of the nation, nation has been equated with the language. Accordingly, "these bearers of a homeland" are also firm Korean language holders. The linguistic patriotism of unity based on the intertwining of "mother tongue" and "father country" has become prevalent in the collective memory of the people of the Korean diaspora. Korean American literature has grappled with this concept of the national history of Korea and the Korean language. The aesthetics of Korean American literature has been marked by an influx of literary resources of 'Korea' in sensibilities and structure of feelings; Korean myth, folk lore, songs, humor, traditional stories, manners, customs and historic moments. An experimental use of the Korean alphabet, Hangeul, written down as pronounced, provides an ethnic flavor in the midst of the English texts. Despite its national framework of mind, however, Korean American literature as an interstitial art reveals a keen awareness of inbetweenness, and transnational hybrid identities. By exploring the complex interrelationships of cultural and linguistic boundary-crossing practices in Korean American literature, this paper argues that the poetics of the Korean diaspora challenges the closed structure of identity formation, and offers a transnational sphere to deconstruct a rigidly demarcated national ideology of "one race, one people, one language," for the world literary history.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1512-1518
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• 2021

Since single cell RNA sequencing provides the expression profiles of individual cells, it provides higher cellular differential resolution than traditional bulk RNA sequencing. Using these single cell RNA sequencing data, clustering analysis is generally conducted to find cell types and understand high level biological processes. In order to effectively process the high-dimensional single cell RNA sequencing data fir the clustering analysis, this paper uses a variational autoencoder to transform a high dimensional data space into a lower dimensional latent space, expecting to produce a latent space that can give more accurate clustering results. By clustering the features in the transformed latent space, we compare the performance of various classical clustering methods for single cell RNA sequencing data. Experimental results demonstrate that the proposed framework outperforms many state-of-the-art methods under various clustering performance metrics.

• Journal of Fashion Business
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• v.25 no.5
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• pp.38-56
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• 2021

The New Silver Generation, which includes retired baby boomers, is eschewing traditional lifestyles, remaining socially and economically active, and striving to enjoy their lives. It is necessary to understand the preferences, sensibilities, and fashion propensities of such individuals. Thus, this study analyzed the New Silver Generation's fashion color preferences and proposed fashion color scheme guidelines that could be used in the fashion industry. First, surveys were conducted in people of the New Silver Generation aged from 55 to 65 years. The survey questions included the following: fashion color preferences, fashion sensibility and taste preferences, fashion interests, lifestyle, and demographic background. Second, the survey was conducted to identify differences in color preferences based on respondents' fashion interests and lifestyles. Next, to compose color palettes for the survey, 45 colors from the Munsell color system were chosen at random. The major research results were as follows: It was shown that socializing- and health-preferring individuals wore achromatic color, leisure-preferring individuals wore P color, and self-preferring individuals wore B color. The commonly worn colors were achromatic colors. After the age of 55 years, health- and leisure-preferring individuals often wore R color and RP color, respectively. Thus, this study proposed a color scheme arrangement that used achromatic colors, such as black and white, as the main colors list for the four lifestyle types.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.405-414
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• 2022

The purpose of this study is to discover the possibility to expand the aesthetic interpretation of dance works. For this purpose, this study analyzes Maguy Marin's (1981) because it shows Sigmund Freud's concept of uncanny and grotesque images well. The theoretical framework of this study was centered on previous academic studies, and Hoffman's Der Sandmann(1816) was presented as an example to help the conceptual understanding of uncanny and grotesque. The analysis of of Magi Marin was divided into stage space, dancer's movements, costumes, and voice. As a result of this study, it was discovered that is a work with an experimental spirit that deviated from the stereotypes of traditional stage aesthetics. And it was implemented as uncanny and grotesque images in the choreography structure. In addition, as the changes of the times have a great influence on the creation of dance works, it is thought that the discourse of various aesthetic interpretation methods in dance works can provide various directions for dance creation in the future. Therefore, this study will be helpful in raising the aesthetic value and status of dance art.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.127-144
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• 2022

This paper aims to analyze the different external images of women expressed in ancient artwork through the socio-cultural background and the aesthetic view during the Tang and Song dynasties of China. The research method contains a literature review involving the collection of historical literature, thesis, and artwork data. The image of women according to the aesthetic view of the two periods is summarized as follows. In terms of face shape, the Tang pursued a round face while the Song pursued a more slender shape. As for hair ornamentation, the Tang wore various shapes of hair buns like "Paojiaji", and decorated them with coronets. The Song wore various types of braided hair called "Tongxinji", but the coronets were smaller and more sophisticated. For makeup, the Tang wore colorful and heavy makeup and the Song makeup was lighter and more elegant. In attire, the Tang followed revealed shape, used splendid colors and thin, transparent material. The Song exhibited a more simple design and was conservative and neat, using luxurious silk fabric with low chroma. In body shape, the Tang pursued the "beauty of obesity" with a voluptuous body shape; the Song pursued the "beauty of gaunt" with a slim body shape. As the result of the analysis according to the aesthetic views of the Tang and Song dynasties, women of Tang were depicted as rich, and women of Song were rather neat. The research on the aesthetic views that changed according to the development of social civilization and the status of women will play an active role in the transmission and development of traditional Chinese culture. At this point, the paper may contribute to the creation of images of women as well as changes in the art of future generations.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.25-30
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• 2022

The article is devoted to the actual problem of the use of digital technologies in modern cinema in developed countries. The purpose of the study is to identify the essence of the term "cyberdramaturgy" and the problems of its use in modern film production. The research methodology is based on a systematic approach and includes the methods of the general scientific group (analysis, synthesis, deduction, induction), as well as a number of special methods: the method of content analysis of scientific literature on the research topic; sociological survey method; as well as the method of statistical analysis. The results of the survey were analyzed using the Neural Designer program (a tool for advanced statistical analytics) and translated into a graphical diagram format for clarity of perception. Answers in 75 questionnaires were evaluated by the average score for six analysis criteria, which made it possible to bring all the calculations to a 10-point scale. As a result of the study, the author of the article concluded the following: directors believe that the use of cyber analogues of actors and backgrounds leads to the blurring of genres, the hybridization of cinema and animation; directors are also concerned about the problem of replacing the director himself with a special program. The writers are completely concerned with the problem of machine scripting with almost infinite variability beyond the human imagination. Directors-producers believe that the cyberdramaturgy development will lead to completely new standards of cinematic quality, sharply different from the traditional assessment of acting and scene setting, to the appreciation of 3D animation as the highest category in the art. Such innovations actually devalue all international cinematography awards, as cyberdrama reduces the value of cyberactors to zero. It is impossible to bail out an "Oscar" or a "Golden Globe" award for a digital double or a separate cyber model that is used in the film instead of the actors.

• Journal of the Korean Society of Floral Art and Design
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• no.43
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• pp.3-17
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• 2020

Through color analysis and survey of seasonal display cases using flower materials in department stores, hotels, and retailers, which are representative commercial spaces in Korea and abroad, it is designed to recognize the need for color planning that applies seasonal colors and emotional adjectives, away from the traditional method of relying on the season, shape and texture of materials, in the process of flower displays. The research method analyzed the colors used in the 48 domestic and foreign commercial space flower display cases collected. Based on this, the first expert questionnaire collected adjectives extraction and seasonal coordinates reminiscent of the case and examined the suitability of emotional adjectives extracted by the second public survey. The research results extracted typical colors and tones of spring, summer, fall, and winter, and recognized seasonal emotional adjectives. Based on these results, We could see that the color scheme should be advanced in the flower display, which used to depend solely on the shape or texture of the flower material, to produce the intended emotional design.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.135-142
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• 2022

Recently, with the development of data processing technology and the increase of computational power, methods to solving social problems using Artificial Intelligence (AI) are in the spotlight, and AI technologies are replacing and supplementing existing traditional methods in various fields. Meanwhile in Korea, heavy rain is one of the representative factors of natural disasters that cause enormous economic damage and casualties every year. Accurate prediction of heavy rainfall over the Korean peninsula is very difficult due to its geographical features, located between the Eurasian continent and the Pacific Ocean at mid-latitude, and the influence of the summer monsoon. In order to deal with such problems, the Korea Meteorological Administration operates various state-of-the-art observation equipment and a newly developed global atmospheric model system. Nevertheless, for precipitation nowcasting, the use of a separate system based on the extrapolation method is required due to the intrinsic characteristics associated with the operation of numerical weather prediction models. The predictability of existing precipitation nowcasting is reliable in the early stage of forecasting but decreases sharply as forecast lead time increases. At this point, AI technologies to deal with spatio-temporal features of data are expected to greatly contribute to overcoming the limitations of existing precipitation nowcasting systems. Thus, in this project the dataset required to develop, train, and verify deep learning-based precipitation nowcasting models has been constructed in a regularized form. The dataset not only provides various variables obtained from multiple sources, but also coincides with each other in spatio-temporal specifications.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.361-366
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• 2022

Recently, with the development of convergent media, the digital animation industry has developed a variety of content centered on the role of Intellectal Property. The excellent IP role image has created huge economic benefits in business. This paper selects three representative Intellectual Property animation cases from Japan, the United States and China. Analyzed of the reuse of IP animation character images and combined with the era technology and the style of culture and art, the traditional cultural IP roles are reconstituted into modern character design two aspects. Through the research of this paper, can understand the expansion possibility of IP animation according to the use of character image. It is expected that when making digital animation, can recognize the importance of intellectual property and use it as a reference for role development.