• Title/Summary/Keyword: 방향성 확장

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A Study on Basic Strategy and Policy Direction for Incheon Port's Cruise Industry Development (인천항 크루즈산업 발전을 위한 기본 전략과 정책방향에 관한 연구)

  • Choi, Jong Chon;Heo, Hoon
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.63-71
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    • 2019
  • The cruise industry is a future-oriented convergence industry based on tourism and shipping, and has attracted great attention not only in the global market but also in Korea. The rapid growth of Asian cruise population, especially in China, has had a considerable impact on both the global market as well as the Korean market. With the recent THAAD problem, the need for diversification of the market has been raised as the entry of cruise tourists from China has been greatly reduced. It is also time for a more systematic and comprehensive development strategy ahead of the opening of the new cruise terminal. This study draws out the problems based on the interviews with experts such as prefectures, travel agencies, and related organizations, as well as analyzing literature on domestic and overseas government plans, policy reports, and research data. Then, the SWOT analysis is used to develop the development strategy and explore the policy support direction. The research scope can be extended to sustainable development model through wider linkage of mid to long term strategy and policy.

A Study on Immersive Media Technology in the Metaverse World

  • Lee, Kyoung-A
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.9
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    • pp.73-79
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    • 2021
  • As the importance of online virtual space grows due to Corona Pandemic, interest in virtual space utilization technology is increasing, causing a boom in the growth of the untact technology and related content industry, and accelerating the transition to Metaverse era, a new virtual convergence platform based on virtual and reality. This study analyzed ZEPETO, a Metaverse platform and found that it provides a creative space through Built-it and ZEPETO Studio, and offers items and contents with active economic activity. This is the result of an analysis centered on ZEPETO, so it varies depending on the Metaverse platform. We look to find key items to activate a Metaverse platform and how to make best use of virtual assets crated in Metaverse in reality through Metaverse related technologies.

Prediction of Housing Price Index using Data Mining and Learning Techniques (데이터마이닝과 학습기법을 이용한 부동산가격지수 예측)

  • Lee, Jiyoung;Ryu, Jae Pil
    • Journal of the Korea Convergence Society
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    • v.12 no.8
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    • pp.47-53
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    • 2021
  • With increasing interest in the 4th industrial revolution, data-driven scientific methodologies have developed. However, there are limitations of data collection in the real estate field of research. In addition, as the public becomes more knowledgeable about the real estate market, the qualitative sentiment comes to play a bigger role in the real estate market. Therefore, we propose a method to collect quantitative data that reflects sentiment using text mining and k-means algorithms, rather than the existing source data, and to predict the direction of housing index through artificial neural network learning based on the collected data. Data from 2012 to 2019 is set as the training period and 2020 as the prediction period. It is expected that this study will contribute to the utilization of scientific methods such as artificial neural networks rather than the use of the classical methodology for real estate market participants in their decision making process.

Effective Advertising Direction in the post-COVID-19 Era (포스트 코로나 시대의 효과적인 광고 방향에 관한 연구)

  • Lee, Jei-Young;Zheng, Zhao
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.89-101
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    • 2022
  • COVID-19 is significantly changing consumers' demand and habits. In order to understand consumer characteristics and find effective advertising directions in the post-COVID-19 era, this study set young consumers who are more sensitive to market changes and technological transformation from a subjective perspective of advertising audiences. Through the Q methodology, the advertising development model in the post-COVID-19 era was derived exploratively by examining their cognitive status of advertisements in the post-COVID-19 era. The model consists of three types of advertisements: "demand mining online ads" that value consumer demand and adapt to online shopping paths, "added value creation experiential ads" that value derived value and consumer experiences, and "practical and sentimental value creative ads" based on pragmatism and emotional values. In addition, this study also suggested for the sustainable practice of advertising in the post-COVID-19 era in various aspects, such as "seeking multidimensional values," "expanding consumer experience," and "mining and leading demand.

Grotesque Image Dance Causing Uncanny -Focusing on Maguy Marin's "May B"- (언캐니를 유발하는 그로테스크 이미지 무용에 관한 연구 -마기 마랭(Maguy Marin)의 작품 를 중심으로-)

  • Kim, Ji-In;Choe, Sang-Cheul
    • 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.

A Study on the Development Direction of Traditional Cultural Contents in the Age of Convergence Media (융합미디어 시대에서 전통문화 콘텐츠의 발전방향 연구)

  • Shan, Xinyi;Chung, Jeanhun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.99-104
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    • 2022
  • In the age of convergent media, traditional media and network media are highly integrated, and benefits are shared, which promotes the increase of traditional culture communication channels, the change of communication methods, and the change of the mode of interaction with audiences. This article analyzes the difficulties of traditional culture dissemination by enumerating some excellent cultural programs in China. At the same time, combined with the current situation of convergence media, it discusses how to transform invisible traditional culture into visual digital content, and make it widely disseminated by means of convergence media. It provides reference for the development of traditional culture, and has enlightening significance for creating high-quality cultural programs and spreading mainstream culture.

A Study on Health Care Service Design for the Improvement of Cognitive Abilities of the Senior Citizens: Focusing on Unstructured Data Analysis (노인 인지능력 개선을 위한 헬스케어 서비스디자인 연구: 비정형 데이터 분석을 중심으로)

  • Seongho Kim;Hyeob Kim
    • Knowledge Management Research
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    • v.23 no.4
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    • pp.69-89
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    • 2022
  • As we enter a super-aged society, senior citizens' health issues are affecting a variety of fields, including medicine, economics, society, and culture. In this study, we intend to draw implications from unstructured data analysis such as text mining and social network analysis in order to apply digital health care service design for improving the cognitive ability of senior citizens. The research procedure of this study improved the service design methodology into a process suited to the analysis of unstructured data, and six steps were applied. Related keywords that exist on social media, focusing on cognitive improvement and healthcare for senior citizens, were collected and analyzed, and based on these results, the direction of healthcare service design for improving on the cognitive abilities of senior citizens was derived. The results of this study are expected to have academic and practical implications for expanding the scope of the use of big data analysis methods and improving existing healthcare service development methodologies.

Storytelling of K-content <Itaewon Class> and Interculturalism (K-콘텐츠 <이태원클라쓰>의 스토리텔링과 상호문화주의)

  • Jeong Hee Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.135-140
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    • 2023
  • In the era of globalization, universal values and empathy are analyzed as important factors in the success of media content. In this context, the perspective of interculturalism is meaningful in K-culture discourse. The TV drama <Itaewon Class> presented a storytelling structure in which the existing order was overturned and new values triumphed. This concept has led to great success in the global market. First of all, it shows multiculturality through the symbolic space of Itaewon. It reproduces people who have various cultural differences in various standards. Characters with diverse values realize intercultural values through cultural dialogue. Such storytelling is evaluated as something that can be widely accepted by people around the world. Interculturalism enables us to seek the direction of sustainable Korean Wave.

Distributed AI Learning-based Proof-of-Work Consensus Algorithm (분산 인공지능 학습 기반 작업증명 합의알고리즘)

  • Won-Boo Chae;Jong-Sou Park
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.1-14
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    • 2022
  • The proof-of-work consensus algorithm used by most blockchains is causing a massive waste of computing resources in the form of mining. A useful proof-of-work consensus algorithm has been studied to reduce the waste of computing resources in proof-of-work, but there are still resource waste and mining centralization problems when creating blocks. In this paper, the problem of resource waste in block generation was solved by replacing the relatively inefficient computation process for block generation with distributed artificial intelligence model learning. In addition, by providing fair rewards to nodes participating in the learning process, nodes with weak computing power were motivated to participate, and performance similar to the existing centralized AI learning method was maintained. To show the validity of the proposed methodology, we implemented a blockchain network capable of distributed AI learning and experimented with reward distribution through resource verification, and compared the results of the existing centralized learning method and the blockchain distributed AI learning method. In addition, as a future study, the thesis was concluded by suggesting problems and development directions that may occur when expanding the blockchain main network and artificial intelligence model.

Evaluation of Cross-Sectional Damage for RC Column Subjected to Axial Loading and Steel Corrosion (철근 부식과 축방향 하중을 받는 철근-콘크리트 기둥 단면의 손상 평가)

  • Changyoung Kim;Ki Yong Ann
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.11 no.4
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    • pp.476-483
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    • 2023
  • The present study concerns modelling the structural behaviour for concrete structure into the crack initiation at corrosion of steels. The degradation source included the axial load and steel corrosion. A development of the rust formed on the steel surface was considered with the interfacial gap between steel and concrete. As a result, the tensile damage could occur on the surface of concrete into the cracking with no steel corrosion, which could be further developed by the increasing rust formation, while the cracking at the steel-concrete interface was mainly attributed to the compressive deformation, being restricted within the interfacial zone.