• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.149-156
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• 2021

OTT service, which allows video content to be viewed as a streaming service on the Internet network, has recently attracted a lot of attention, and the number of users is also increasing rapidly. It would be a natural strategy for OTT companies to acquire more content to gain a competitive advantage in relations with traditional media companies and other OTT companies. However, there are research results to show that the investment in facilities by Internet service providers who must transport the increasing Internet traffic from OTT provider to end users should increase as the amount of Internet traffic originated by OTT services also increases. This study empirically analyzed how content investment by Netflix, a leading OTT company, affects its revenue growth and network investment by Internet service providers through a polynomial distributed lag model. And the analysis results show that Netflix's content investment contributes to the company's increase in revenue, and also has an effect on the increase in network investment by Internet service providers. This result confirms that OTT operators' content acquisition strategy is a valid management strategy, and empirically supports the study results that OTT operators need to share the cost of Internet network facility investment.

• Journal of Broadcast Engineering
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• v.27 no.3
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• pp.318-331
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• 2022

With the recent development of hardware computing devices and software based frameworks, machine tasks using deep learning networks are expected to be utilized in various industrial fields and personal IoT devices. However, in order to overcome the limitations of high cost device for utilizing the deep learning network and that the user may not receive the results requested when only the machine task results are transmitted from the server, Collaborative Intelligence (CI) proposed the transmission of feature maps as a solution. In this paper, an efficient compression method for feature maps with vast data sizes to support the CI paradigm was analyzed and presented through experiments. This method increases redundancy by applying feature map reordering to improve compression efficiency in traditional video codecs, and proposes a feature map method that improves compression efficiency and maintains the performance of machine tasks by simultaneously utilizing image compression format and video compression format. As a result of the experiment, the proposed method shows 14.29% gain in BD-rate of BPP and mAP compared to the feature compression anchor of MPEG-VCM.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.435-444
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• 2022

There are three focuses in the paper. Firstly, the study identified what channels were most viewed by YouTube users to watch the 'Daejang-dong scandal,' which was the most powerful agenda to influence the candidate preference among voters during the 20th presidential election. Secondly, the study analyzed whether the political tone of the first videos was in line with that of the subsequent videos. Finally, we compared the sentiment of comments on the first and subsequent videos. The results showed that TBS 'News Factory' and 'TV Chosun News' represented liberal and conservative factions, respectively. Secondly, the political tone of channels that were viewed subsequently was neutral, but the conservative channel users left more negative comments and that was significant statistically. In addition, about 80% of the conservative and liberal channel users shared the same political tendency with the channel they watched first, and more than 90% of the comments left at the subsequent videos in line with that of at the first news. Based on these results, the study concluded that the voters tended to seek political news that was similar with their political ideology, and it was considered a sort of echo chamber phenomenon on the YouTube. The study suggests that the performance of high-quality journalism by traditional news outlet might contribute to decrease the negative influence of political contents on YouTube users.

• The Journal of Korean Medicine
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• v.43 no.2
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• pp.1-7
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• 2022

Objectives: Bee venom (BV) is a widely used therapy in Traditional East Asian Medicine (TEAM). We previously reported that BV was clinically effective for treating Parkinson's disease, that phospholipase A₂ (PLA₂) was the main component of BV, and that it induced regulatory T cells (Tregs) by binding CD206 on dendritic cells (DCs). Therefore, we aimed to reconfirm our findings in human blood samples and investigate the relationship between CD206⁺ DCs and clinical syndrome differentiation in TEAM. Methods: We surveyed 100 subjects with questionnaires on cold-heat patternization and obtained their blood samples. The obtained human peripheral blood monocytes (hPBMCs) were washed with phosphate-buffered saline (PBS). After resuspension with ex vivo media, numbers of cells were counted. Tregs were counted after culturing the samples in a 37℃ CO₂ incubator for 72 h. Results: We divided the subjects into a relatively high CD206⁺ group or a relatively low CD206⁺ group. The heat factor scores of high CD206⁺ group were significantly higher than that of low CD206⁺ group (high vs low: 239.2 ± 54.1 vs 208.4 ± 55.1, p=0.023). After culturing with PLA₂, Tregs increased in the high CD206⁺ group but decreased in the low CD206⁺ group. Conclusion: In this study, we reconfirm that CD206⁺ DCs induced Treg differentiation by incubating human blood samples with PLA₂ and that they showed an association with syndrome differentiation, especially with heat patterns, in TEAM. A heat pattern in TEAM might be one indication for PLA₂ therapy because its score was elevated in the high CD206⁺ group.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.27-38
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• 2021

Non-Contact society has arrived due to social distinctions by COVID 19 pandemic. The arrival of the era of non-contact is having a profound impact on educational activities as well as on our social and economic lives. In response to the pandemic situation universities and all other educational institutions have implemented non-contact online classes. In particular arts physical educations and other practical classes are experiencing many difficulties due to the limited environment caused by social distancing from COVID 19 pandemic. Vocal classes are undergoing a transition mainly from 1:1 individual face-to-face lessons or group teaching methods to the non-contact era of online teaching or lesson methods. It is necessary to look at the direction of non-face-to-face practical classes in preparation for accelerated educational innovation. Edu-tech, which innovates technology in the wake of the age of non-contact after COVID 19 pandemic is expected to begin in earnest at school sites in Korea which have remained in the traditional way of education. The purpose of this study is to effectively non-contact vocal instructional methods by cogitating the current state of higher practical education and vocal classes in Korea. In addition, This study conducted two components of satisfied instructions such as 'Priorlearning of monitoring of recorded singing', and 'Immediate analyzing of various vocal contents and supplementary lessons of music theory' with a research on the peos and cons of non-face-to-face vocal class. Over a period of time, The effective non-contact of vocal instructional methods is in need to supplement non-face-to-face vocal class problems and further research and system construction with non-face-to-face vocal class's pros and cons to construct high-quality lecture contents is warranted.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.45-62
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• 2021

This article examines celeactor as cultural contents focused on the multi-persona in a South Korean reality show program . The celeactor is a form of celebrity and part of a celetoid. Celebrity can be categorized by three forms: ascribed form, achieved form and attributed form. In attributed form, the celetoid suddenly becomes popular through the media. The celeactor is a subcategory of the celetoid. The celeactor is defined by a virtual character that exist in temporary or institutionalized traits of popular culture. The Korean celebrity culture presents Korean intellectual factors, spiritual aspects, tastes, moral virtue, power relationships and traditional hierarchy. In order to examine the features of the Korean celeactor in cultural contents, this article focuses on the multi-persona of celebrity in South Korean popular culture through fantasy, challenge and nostalgia. This article examines the multi-persona of celebrity represented in South Korean popular culture as a negotiated response to cultural identity deconstructed and reconstructed in performance. The research methodology is to analyze a South Korean television reality show program on MBC Hangout with Yoo that represents various sub-characters performed by Jae-suk Yoo, a South Korean comedian and host. As for theoretical underpinning, this exploration joins work on Erving Goffman's (1959) notion of self-presentation and Chris Rojek's (2001) celebrity studies.

• The Korea Journal of Herbology
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• v.28 no.1
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• pp.43-50
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• 2013

Objectives : Hwanggeumjakyak-tang (huangqin shaoyao tang, HJT) has been used to treat acute enteritis in traditional oriental medicine. However, there has been a lack of studies regarding the effects of HJT on the inflammatory activities and effector inflammatory disease mechanism about macrophage before is not known. So we examined the effect of HJT water extract on pro-inflammatory mediators in lipopolysaccharide (LPS) - stimulated mouse macrophage, RAW 264.7 cells. Methods : Cells were treated with 2 ug/mL of LPS 1 h prior to the addition of HJT. Cell viability was measured by MTS assay. The production of nitric oxide (NO) was determined by reacting cultured medium with Griess reagent. The expression of cyclooxygenase-2 (COX-2), inducible NO synthase (iNOS) and mitogen-activated protein kinases (MAPKs) was investigated by Western blot, RT-PCR. The content of level of cytokines (prostaglandin (PG) $E_2$, interleukin (IL)-6, IL-12, Tumor necrosis factor-alpha (TNF-${\alpha}$) and monocyte chemoattractant protein-1 (MCP-1)) in media from LPS-stimulated Raw 264.7 cells was analyed by ELISA kit. Results : HJT inhibited the production of NO, $PGE_2$, IL-6 as well as the expressions of iNOS, COX-2 but did not inhibit the production of IL-12, TNF-${\alpha}$, MCP-1 in the murine macrophage, RAW 264.7 cells. HJT also had suppression effects of LPS-induced MAPKs activation Conclusion : These results suggest that HJT has an anti-inflammatory therapeutic potential, which may result from inhibition of MAPK phosphorylation, thereby decreasing the expression of pro-inflammatory genes.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.141-152
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• 2020

This thesis is a study on the creation of characters of "personality actors and character actors" among the concepts of "star persona" of S. Prince. This study selected 7 representative films of Jung Woo-sung, a representative personality actor in the Korean film industry, and analyzed how 'Jung Woo-sung-character' is embodied in the film as a character component suggested by R. Dyer. In the traditional sense, the actor's acting has been highly valued for transformation and impersonation in character creation, but discussing the method of creating a character focusing only on the actor's acting in a movie acting implemented in combination with advanced technology I don't think it's suitable for movie acting research. Theorists such as R.Dyer and Edgar Morin, who studied film actors and stars, also emphasize that 'movie actors are different from theater actors' (by the film medium). Therefore, in this thesis, a detailed analysis of the acting of a personality actor was avoided. As Morin pointed out that the character in the movie can be implemented through the actor's image and type, not playing the type of role. I tried to propose the significance of this character creation method of the personality actor by analyzing actor Jung Woo-sung and his character.

• Journal of International Area Studies (JIAS)
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• v.16 no.2
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• pp.73-94
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• 2012

Recently, Japanese cultural contents are being evaluated as a worldwide content. Among them, the animation takes an overwhelming place in the world market as a Japanese representative content. We need to understand that Japanese animation is being recognized world wide, because Japanese culture was grafted in to and it's very important to apply that to our situation. Cultural content to dominate the world has a fundamentally characteristics derived from regional culture. Cultural content includes elements of particular culture prototype. To investigate into cultural content that has globally used and is valuable, in-depth and systematic research for local (country) culture prototype showed be carried out. Our research aim to provide basic data so Korean animation can be developed as axis of Korean Wave. This compares and analyzes the Culture prototype from Korea and Japanese modern civilized media animation. Specifically for the animation shown in the culture prototype, we aim to - Analyze the content of culture prototype shown in Korea's animation: 'Hopi and Chadol Bawi', 'Heung-Bu and Nol-Bu', 'A Admiral's Diary', and 'Oseam'. - Analyze the content of culture prototype shown in Japan's animation: 'Genji', 'The Spiriting away of Sen and Chihiro', 'The Princess Mononoke', and 'Raccoon War Pom Poko'. - Compare and analyze the content of culture prototype depending on classifying criteria shown between Korea and Japan. We finally want to provide the basic data to develop the creation material for the global animation content based on these two countries throughout this research.

• Journal of Broadcast Engineering
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• v.27 no.1
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• pp.3-12
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• 2022

Image deblurring aims to remove image blur, which can be generated while shooting the pictures by the movement of objects, camera shake, blurring of focus, and so forth. With the rise in popularity of smartphones, it is common to carry portable digital cameras daily, so image deblurring techniques have become more significant recently. Originally, image deblurring techniques have been studied using traditional optimization techniques. Then with the recent attention on deep learning, deblurring methods based on convolutional neural networks have been actively proposed. However, most of them have been developed while focusing on better performance. Therefore, it is not easy to use in real situations due to the speed of their algorithms. To tackle this problem, we propose a novel deep learning-based deblurring algorithm that can be operated in real-time on HD resolution. In addition, we improved the training and inference process and could increase the performance of our model without any significant effect on the speed and the speed without any significant effect on the performance. As a result, our algorithm achieves real-time performance by processing 33.74 frames per second at 1280×720 resolution. Furthermore, it shows excellent performance compared to its speed with a PSNR of 29.78 and SSIM of 0.9287 with the GoPro dataset.