• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.654-664
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• 2022

Immersive content overcomes spatial limitations through convergence with extended reality, artificial intelligence, and photogrammetry technology along with interest due to the COVID-19 pandemic, presenting a new paradigm in the content market such as entertainment, media, performances, and exhibitions. However, it can be seen that in order for realistic content to have sustained public interest, it is necessary to study storytelling method that can increase immersion in content rather than technological freshness. Therefore, in this study, we propose a immersive content storytelling method using artificial intelligence and photogrammetry technology. The proposed storytelling method is to create a content story through interaction between interactive virtual beings and participants. In this way, participation can increase content immersion. This study is expected to help content creators in the accelerating immersive content market with a storytelling methodology through virtual existence that utilizes artificial intelligence technology proposed to content creators to help in efficient content creation. In addition, I think that it will contribute to the establishment of a immersive content production pipeline using artificial intelligence and photogrammetry technology in content production.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.365-371
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• 2021

In order to verify the effect of using functional cosmetic ingredients for skin beauty, the composition and content of some phenolic acid and flavonoids in the hot water and 80% methanol extract of Akebia quinata fruit pericarp and seeds were analyzed, and the skin care antioxidant activity was investigated. The results are as follows. Total polyphenol and flavonoid contents were found to be higher in pericarp extract than seed extract in both hot water and 80% methanol extract. In the analysis of the composition and content of phenolic acid and flavonoids, two kinds of phenolic acids were identified in the hot water extract of pericarp, 6 kinds of phenolic acids were identified in the 80% methanol extract, and one kind of flavonoid. Two types of phenolic acids were identified in the hot water and 80% methanol extract of seeds, respectively. DPPH and ABTS radical scavenging activities tended to increase in proportion to the treatment concentration in both hot water and 80% methanol extracts, and antioxidant activity was found to be high. Therefore, from the above results, it was found that the hot water and 80% methanol extract of Akebia quinata fruit pericarp and seeds contained various kinds of phenolic acid and flavonoids, and the antioxidant activity was also high. It is believed to be of value as a natural antioxidant in skin care cosmetic ingredients.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.115-124
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• 2022

In this paper, we present an NFT auction service for the next generation, named NextAuction, which can reliably trade ownership of individual content using DID technology. Recently, as the types and sizes of tradable digital assets have expanded, the number of NFT transactions has also increased, and a significant number of marketplaces are being operated. But, the current user authentication methods of NFT marketplaces are done only through the associated blockchain wallets. It is desirable that ownership transfer through NFT transactions be transparently managed based on a more reliable identity authentication service. NextAuction increases the reliability of auction service participants by transparently and consistently providing identity authentication for users of auction services based on the DID technique using the Klaytn blockchain. In addition, in preparation for server failure that may occur during the auction of individual content, it provides users with a robust auction service using the BR2K technique that continuously provides consistent service through the replication of a target service. The NextAuction service is developed by extending BCON, a blockchain-based content management service.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.39-59
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• 2022

We analyze the perceptions and requirements of early childhood teachers for artificial intelligence(AI) education to develop an AI education program for 5-year-olds. As for the research methodology, we conducted a survey and an in-depth interview to extract the AI educational elements centering on the analysis stage, the first stage of the ADDIE model. The research result is that first, it is necessary to design a curriculum that combines the contents of early childhood education and AI education to be naturally accepted as AI education for 5-year-olds. Second, an evaluation tool for AI education that can showcase the teacher's reflection should be developed systematically. Third, it is necessary to support a play-centered AI education support and environment for early childhood teachers. Lastly, it is essential to establish a system that can be continuously operated in the field of early childhood education in consideration of AI education in the non-curricular curriculum. It is expected that in the future, a play-oriented AI education program for 5-year-olds will be developed to spread awareness of AI education for infants and present an AI education approach for each age and stage of learners.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.1-15
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• 2021

With the prolonged COVID-19 pandemic situation, the attention on Metaverse has been soared throughout media and publications. Recently the entertainment industry is also changing to actively utilize the virtual world with artists working through Metaverse platforms. With the recent high interests on Metaverse, this study attempts to illuminate how the public perceives and accepts Metaverse experiences. While research on Metaverse has been mainly focused on specific technologies or technical objects, this study focuses on exploring how fans recognize and understand the concept of Metaverse through newly debuted idol group 'aespa', composing of 4 human members and 4 AI avatar members that integrate real and virtual world. For this, this study seeks to analyze the reaction and recognition of fans by exploring online community 'DC Inside'. As a result of analyzing the reactions of fans in the early days of aespa's debut, the perspectives of understanding AI members of aespa are categorized into three groups: first, the type of equating and accepting the real and the virtual world; second, the type of recognizing the real world and the virtual world separately and recognizing the virtual member as an avatar or concept, not a genuine member; and finally, a type of recognizing virtual worlds separately from reality. Based on these results, the implications that Metaverse contents may have in the entertainment industry are suggested.

• The Korea Journal of Herbology
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• v.37 no.5
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• pp.63-74
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• 2022

Objective : Gastritis refers to an inflammatory disease of the gastric mucosa. Alcohol is one of the main aggression factors, causing bleeding and inflammation in the gastric mucosa and it is known to not only increase lipid peroxide levels, but also deplete key antioxidant factors. The purpose of this study was to determine the effect of Uncariae Ramulus et Uncus water extract (URW) in alcohol-induced gastritis. Methods : The total polyphenol and flavonoid contents of URW were confirmed through an in vitro experiment. Also, 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radical scavenging activity and ferric reducing antioxidant power (FRAP) activity were confirmed. For in vivo experiments, mice were divided into 4 groups (n=8). Also, 1 hr after oral administration of each drug, 50% ethanol was orally administered to induce gastritis. Results : As a result of in vitro experiments, URW showed excellent antioxidant activity. In alcohol-induced gastritis, URW alleviated the damage to the gastric mucosa caused by alcohol. Also, URW decreased reactive oxygen species (ROS) and malondialdehyde (MDA) levels in serum and gastric tissues, and significantly decreased the expression of NADPH oxidases in gastric tissues. In addition, it significantly modulated the nuclear factor erythroid-derived 2-related factor 2 (Nrf2) and nuclear factor-𝜅B p65 (NF-𝜅B) pathways as well as significantly increased the expression of anti-inflammatory proteins. Conclusions : These results suggest that URW not only reduces oxidative stress through excellent antioxidant activity but also relieves gastric mucosal inflammation as a regulator of Nrf2 and NF-𝜅B pathways.

• Journal of the Korea Organic Resources Recycling Association
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• v.29 no.4
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• pp.33-40
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• 2021

In this study, the physico-chemical and biological characteristics of anaerobic granular sludge at different heights of a full-scale UASB reactor (UASBr) were investigated. Granular sludge was taken from 1 m, 2 m, and 3 m above the ground level in the UASBr. The morphological analysis showed that the upper part had bigger granules and the lower part had rounder granules. The ANOVA test confirmed that the mean size and the roundness of the granules had statistically significant difference along the height at 95% confidence level, and there was a significant negative linear relationship between the size and roundness (r=-0.40, p<0.05). A SMA test using acetic, propionic and butyric acids showed that granules from 2 m height had the highest specific methanogenic activity. The EPS contents were also unequal to each height, with 2 m showing the highest content. These findings could be helpful to understand the different characteristics of stratified anaerobic granules in full-scale UASBr and maintain the reactor performance.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.75-83
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• 2021

This study presented the analysis results and implications by identifying the structural relationship between the image of food tourism products, the long-term orientation of attachment, and the behavioral intention. The convenience sampling method of the non-probability sampling method was used, and the survey was conducted non-face-to-face due to COVID-19. This study was conducted for customers who live in Jeollabuk-do and Jeollanam-do and have experienced local traditional food. As for the survey method, the main researcher's acquaintances and related experts were consulted and utilized to select the survey subjects, and the survey was conducted by sending/returning them by mail or e-mail. Statistical processing was analyzed using SPSS 25.0 and AMOS 25.0 statistical packages. As a result of the verification, the relationship between the image and attachment of food tourism, the relationship between the long-term orientation in the attachment of traditional food, and the behavioral intention in the attachment of traditional food are significant. A significant positive (+) relationship was formed in the relationship of hypothesis setting according to the research purpose of the relationship.

• Journal of Environmental Impact Assessment
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• v.31 no.4
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• pp.214-225
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• 2022

This study emphasized the soil of environmental impact assessment to devise measures to minimize the negative impact of project implementation on the environment. As a series of efforts for impact assessment procedures, a national inventory-based database was established for urban development projects, and three machine learning model performance evaluation as well as soil pollutant concentration distribution mapping were conducted. Here, nine soil pollutants were mapped to the metropolitan area of South Korea using the Random Forest model, which showed the best performance. The results of this study found that concentrations of Zn, F, and Cd were relatively concerned in Seoul, where urbanization is the most active. In addition, in the case of Hg and Cr6+, concentrations were detected below the standard, which was derived from a lack of pollutants such as industrial and industrial complexes that affect contents of heavy metals. A significant correlation between land cover and pollutants was inferred through the spatial distribution mapping of soil pollutants. Through this, it is expected that efficient soil management measures for minimizing soil pollution and planning decisions regarding the location of the project site can be established.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.191-201
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• 2022

In this study, we are going to derive problems for fire and safety management in multiple-user Buildings and suggest improvement measures to prevent recurrence through analysis of legal operation status for safety management of multiple-user Buildings and case studies of large-scale fires in multiple-user Buildings. For this study, first, the current state of the industry and fire occurrence status were investigated through theoretical considerations of the multi-use industry, and then the previous research on the multi-use industry was analyzed. and by analyzing the legal and institutional status of multiple-user Buildings, problems were derived through cases such as the Jecheon fire in Chungcheongbuk-do, the Inhyeon-dong fire in Incheon, and the Songpa-gu fire in Seoul. As a result, first, the necessity of strengthening the initial fire response capability. Second, thorough maintenance and management of emergency exits. Third, the need for rational regulation of upholstery. Fourth, reinforcement of fire safety education and training. Fifth, strengthening of installation standards for firefighting and safety facilities. Sixth, we derive the result that it is necessary to raise awareness about safety management, compare and analyze it with legal and institutional contents, and suggest solutions accordingly. When looking at the causes of fires in multi-use buildings, building owners, business owners, and employees think that there is no possibility of a fire occurring in their business premises, so there is a lack of awareness. It is necessary to raise awareness through education and publicity of firefighters and related administrative agencies.