• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.2
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• pp.190-203
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• 2015

The fashion industry has been rearranged by Global SPA brands (like ZARA and H&M), which are powerful retailers that integrate the value chain ranging from manufacturing to sales. SPA brands can offer good quality of clothing at a reasonable price by cutting the margin between the supply chain. They are also called fast fashions since they make expedited efforts to respond to market trends and consumers. Despite the slow growth of the fashion industry in Korea, as global SPA brands rapidly expand market share, traditional fashion companies have launched several SPA brands such as MIXXO and SPAO (E-LAND), 8SECONDS (CHEIL INDUSTRIES). The few academic studies on this subject are focused on the analysis of secondary data such as news and books. The current research is qualitative and empirical attempts to explore the success factor of SPA brands with analysis of 1:1 in-depth interviews with experts who have worked for global SPAs such as Uniqlo, H&M, and ZARA, based on the grounded theory. The main phenomenon was shown to be that global SPA brands were popular since they offer a variety of products with a large assortment at reasonable and cheap prices in a large scale and multifunctional retail store. Most of them displayed main phenomena that can be realized due to the purchasing cycle of clothing that is shorter with consumers' regarding clothing as consumables. Global SPA brands had three types of marketing strategy: sellable product, sales strategy according to consumer response, and multifunctional stores. Each global SPA brand developed marketing strategies based on core competency and national conditions. The three success factors shorten the consumer decision making process of clothing. This study concludes with implications for practitioners of SPA brands born in Korea.

• Journal of Fashion Business
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• v.10 no.3
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• pp.117-128
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• 2006

The purpose of this study was to understand changes of the current young generation's lifestyle, aesthetic attitude for an appearance, and way of thinking by making a close investigation into metrosexual, the recent mode, and find out its cultural and social implications. As a method of the study, the literature and the Internet data were reviewed. Articles from newspapers, magazines and the Internet were chosen roughly from the year 2000 to now because metrosexual mode remarkably boomed before and after 2000. Books related to the theory on the mode in a costume culture were referred. Also, articles in daily newspapers which dealt with cultural and social issues were reviewed, fashion magazines for men such as Esquire and GQ showing the new trend in men's lifestyle and fashion were examined, and the Internet providing us the latest news from cultural and social topics to fashion trends were investigated. The backgrounds of the rise of metrosexual mode were a collapse of stereotypes in various fields, spread of lookism in a visual image period, extension of commercialism, and expansion of men's character casual trend. Metrosexual was defined as an urban male with a strong aesthetic sense who spends a great deal of time and money on his appearance and lifestyle. His fashion style was characterized by slim and flowing silhouette, feminine and luxurious materials such as transparent chiffon, silk and cotton with a light and soft touch, and a knitted wear with a flowing line, a wide variety of vivid and pastel colors, floral and geometric patterns, and the decorative details like lace, beads, embroidery, and fur. From spread of this mode, two cultural and social implications were extracted. Firstly, the current young generation's aesthetic standards for the perfect man changed from macho man to considerate man who had a good appearance and this suggested that a conventional sex role broke down. Secondly, men began to explore for their own identity escaping from traditionally standardized masculinity that they had been forced to follow.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.388-397
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• 2012

Recently, KOSDAQ company's cyber IR activities has increased. Major advantages offered by the Internet include low cost and high accessibility the Internet is used as a strategic tool of many KOSDAQ companies in IR activity. Thus, this study tried to empirically analyze the overall impact of cyber IR. And this study examine the difference in impact of cyber IR activity on stock prices in the period before and after depending on ownership structure and venture or not. The main result of the study can be summarized as follows. First, IR activities have a positive impact on KOSDAQ firms stock price. This means that the investors are recognizing IR activity of KOSDAQ firm as a good news. Second, The lower stock ownership have great impact on stock prices. The act of reporting and monitoring system are performing effectively to lower stock ownership as compared with higher stock ownership. Third, The return rate of KOSDAQ venture firms with IR enforcement effect appears high than KOSDAQ firms with IR enforcement.

• Korean Journal of Acupuncture
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• v.22 no.4
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• pp.129-147
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• 2005

Objectives and methods : This research aims to study about Gimunchimbeop(奇門鍼法) from original text of ${\ulcorner}$Singyeol(神訣) and Bosingyeol(保身訣)${\lrcorner}$. I could know is contents about Gimunchim-beop(奇門鍼法) through result that interprets original text of ${\ulcorner}$Singyeol(神訣) and Bosingyeol(保身訣)${\lrcorner}$ with Hyeonto(懇吐) and analyzes, and Gimunchimbeop(奇門鍼法)'s contents are as following. Results and Conrlusions : ${\ulcorner}$Singyeol(神訣) and Bosingyeol(保身訣)${\lrcorner}$ is seen uses Honggukpoyeol-beop(洪局布列法)'s Saenggipalgwae(生氣八卦) among Gimunpogukbeop(奇門鐵法), and Yearngukpoyeol-beop(姻局布列法) that do Sigapoguk(時家布局) by putting first. It Introduced method that depends to Saenggipalgwae(生氣八卦) in Sigapoguk(時家布局)'s occasion and selects, and doctors depend to Bideungpalbeop(飛謄八法)'s Palmaekpalhyeolbaegugungpal-gwaedo(八販八穴配九嘗八卦圖) deciding Bongwae(本卦) via a day to look at patient and selects Juhyeol(主穴), Assign Saenggipalgwae(生氣八卦) laying stress on Bongwae(本卦) and makes Bojohyeol(補助穴) equivalent to Saenggi(生氣), good luck(福德) and Cheoneui(天宜). but, this need study more should use distinguishing how because was not proved. Wonpando(圓板圖) and Babdo(方圖) from Eumyangdun(陰賜遁)'s from 1 Guk(局) to 9 Guk(局) are thing for Yeamgukpoyeolbeop(姻局布列法). But it is few references about there decides Hyeolwi(穴位) that use even if arrange actually. Through ${\ulcorner}$Singyeol(神訣) and Bosingyeol(保身訣)${\lrcorner}$, I could know truth that took advantage of strange news to acupuncture methods(鐵法) but specific practical use method does not remain. Need to establish body of theory in reply in hereafter therefore and prove the effect through presence at a sickbed practical use.

• The Korean Journal of Financial Management
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• v.27 no.1
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• pp.157-180
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• 2010

We try to check empirically whether the Korean banks produce valuable information for the firms listed in KOSDAQ. The sample covers 164 KOSDAQ firms which disclosed long-term bank loans for the period of October 2004 and March 2006. The result shows no abnormal stock returns from bank loan disclosures while the bond issuance indicates a negative abnormal return. In addition, when we control the effect of different debt levels of sample firms, we could not find any statistically significant effect of all types of borrowings. Results suggest that bank borrowings do not convey any favorable information on stock return and, as a result, bank loan is just one of several financing tools rather than a special event conveying good news for the firm under asymmetric information situation.

• Journal of Korea Game Society
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• v.18 no.5
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• pp.83-92
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• 2018

Many studies in deep learning show results as good as human's decision in various fields. And importance of activation of online-community and SNS grows up in game industry. Even it decides whether a game can be successful or not. The purpose of this study is to construct a system which can read texts and create comments according to schedule in online-community and SNS using deep learning. Using recurrent neural network, we constructed models generating a comment and a schedule of writing comments, and made program choosing a news title and uploading the comment at twitter in calculated time automatically. This study can be applied to activating an online game community, a Q&A service, etc.

• BMB Reports
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• v.52 no.7
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• pp.457-462
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• 2019

[18F]Fluorodeoxyglucose (FDG) PET/CT imaging has been widely used in the diagnosis of malignant tumors. ATPase family AAA domain-containing protein 2 (ATAD2) plays important roles in tumor growth, invasion and metastasis. However, the relationship between [18F]FDG accumulation and ATAD2 expression remains largely unknown. This study aimed to investigate the correlation between ATAD2 expression and [18F]FDG uptake in lung adenocarcinoma (LUAD), and elucidate its underlying molecular mechanisms. The results showed that ATAD2 expression was positively correlated with maximum standardized uptake value ($SUV_{max}$), total lesion glycolysis (TLG), glucose transporter type 1 (GLUT1) expression and hexokinase2 (HK2) expression in LUAD tissues. In addition, ATAD2 knockdown significantly inhibited the proliferation, tumorigenicity, migration, [18F]FDG uptake and lactate production of LUAD cells, while, ATAD2 overexpression exhibited the opposite effects. Furthermore, ATAD2 modulated the glycometabolism of LUAD via AKT-GLUT1/HK2 pathway, as assessed using LY294002 (an inhibitor of PI3K/AKT pathway). In summary, to explore the correlation between ATAD2 expression and glycometabolism is expected to bring good news for anti-energy metabolism therapy of cancers.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.53-60
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• 2021

The purpose of this study is to examine the terms and components related to the proper use of YouTube. The Delphi was conducted on 11 panels and the results are as follows. First, as a result of examining how the use of YouTube will change in the future, it is agreed that it will be used more actively and more diverse than now, but that maladaptive problems such as fake news and addictive use will occur. Second, the terminology of proper/improper use of Youtube was derived as 'adaptive use' and 'maladaptive use'. Third, as a result of the components of adaptive use of YouTube, it is that were 'Information and content sorting ability', 'Self-regulation ability', 'Information acquisition and delivery ability', 'Understanding motivation and desire to use', 'Time-of-use control ability', 'Consideration of ripple effect'. Finally, the implications and limitations of this study were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.949-955
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• 2022

Deep learning-based text summarization models are not free from datasets. For example, a summarization model trained with a news summarization dataset is not good at summarizing other types of texts such as internet posts and papers. In this study, we define this phenomenon as Data Bias Problem (DBP) and propose two training methods for solving it. The first is the 'proper nouns masking' that masks proper nouns. The second is the 'length variation' that randomly inflates or deflates the length of text. As a result, experiments show that our methods are efficient for solving DBP. In addition, we analyze the results of the experiments and present future development directions. Our contributions are as follows: (1) We discovered DBP and defined it for the first time. (2) We proposed two efficient training methods and conducted actual experiments. (3) Our methods can be applied to all summarization models and are easy to implement, so highly practical.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.479-488
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• 2002

In recent years the amount of digital video used has risen dramatically to keep pace with the increasing use of the Internet and consequently an automated method is needed for indexing digital video databases. Textual information, both superimposed and embedded scene texts, appearing in a digital video can be a crucial clue for helping the video indexing. In this paper, a new method is presented to extract both superimposed and embedded scene texts in a freeze-frame of news video. The algorithm is summarized in the following three steps. For the first step, a color image is converted into a gray-level image and applies contrast stretching to enhance the contrast of the input image. Then, a modified local adaptive thresholding is applied to the contrast-stretched image. The second step is divided into three processes: eliminating text-like components by applying erosion, dilation, and (OpenClose+CloseOpen)/2 morphological operations, maintaining text components using (OpenClose+CloseOpen)/2 operation with a new Geo-correction method, and subtracting two result images for eliminating false-positive components further. In the third filtering step, the characteristics of each component such as the ratio of the number of pixels in each candidate component to the number of its boundary pixels and the ratio of the minor to the major axis of each bounding box are used. Acceptable results have been obtained using the proposed method on 300 news images with a recognition rate of 93.6%. Also, my method indicates a good performance on all the various kinds of images by adjusting the size of the structuring element.