• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.181-189
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• 2006

The ubiquitous technology has requested many changes both to the way of learning and to the way of convergence learning content development. However, until now most of e-Learning contents can not meet the requirements of technology convergence and are not developed from the user's perspectives. In this paper, we focus a convergence learning model that is learner-oriented structure, active use of formal and informal learning. Furthermore, examine carefully importance about task analysis, storytelling, and feedback design strategy of learning management system for e-Learning content development. In this context, this paper suggests the effective e-Learning content development method in a convergence era.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.245-250
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• 2015

The P2P technology is becoming a technology for receiving a service, such as the latest YouTube and Facebook. P2P technology can be easily downloaded to a large amount of multimedia content over a distributed environment. However, pictures, music, a large amount of multimedia content such as videos each user is unable to manage the content management operating smoothly because, Song communication processing overhead caused when the reception is likely to remain the problem. In this paper, we propose a convergence content management technique that provides a low communication overhead of the frequency of use of the convergence content when trying to provide a large amount of convergence content to users in a distributed environment. Our method can be used to select the appropriate frequency is high among the shared content on the P2P multimedia environments that are distributed across a frequency of use of the convergence content and provides the service. Experimental evaluation proposed method, the convergence content browsing speed than conventional techniques improved communication about 13.3% and reduced overhead to about 9.5%.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.25-30
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• 2016

Virtual reality items are increased take-all type of markets like Universal, such as the United States as a leader in the virtual reality technology. Multi-user have to get direct experiences with the whole body like visual, tactile, hearing, sense of movement, and it must be developed new forms of content platform to enjoy immerse deeply into the content. Visitors are not to enjoy the content passively but rather to enjoy the content actively. So it like that should develope content to maximize the immersion. It need the development of new forms of mixed 5D virtual reality Attraction content with all of factors like $360^{\circ}$ circle vision, stereoscopic images, interaction, simulator, and the environmental effect. We proposes how to make the color and brightness calibration technology for this purpose.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.159-159
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• 2022

Soil represents a substantial component within the global carbon cycle and small changes in the SOC stock may result in large changes of atmospheric CO₂ particularly over tens to hundreds of years. In this study, we aim to (i) evaluate the SOC stock in the topsoil 0 - 15 cm from soil physical and chemical characteristics and (ii) find the correlation of SOC and soil organic matter (SOM) for national-scale in South Korea. First of all, based on the characteristics of the soil to calculate the soil hydraulic properties, SOC stock is the SOC mass per unit area for a given depth. It depends on bulk density (BD-g/cm³), SOC content (%), the depth of topsoil (cm), and gravel content (%). Due to insufficient data on BD observation, we establish a correlation between BD and SOC content, sand content, clay content parameter. Next, we present linear and non-linear regression models of BD and the interrelationship between SOC and SOM using a linear regression model and determine the conversion factor for them, comparing with Van Bemmelen 1890's factor value for the country scale. The results obtained, helps managers come up with suitable solutions to conserve land resources.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.607-610
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• 2008

국내외 연구자들은 각자의 분야에서 다양하고 중요한 연구를 수행하면서 그 연구결과물을 생산하고 있다. 연구결과물의 형태는 학회지 및 학술대회 논문, 연구보고서, 특허, 연구노트, 세미나 발표자료, 학교교재, 신문 및 잡지의 기사 등 매우 다양하다. 이런 다양한 연구결과물을 같은 학문 분야, 같은 주제의 연구자들끼리 서로 공유하고 교환하기 위해서는 정보의 자유로운 이용에 근거한 커뮤니티 환경이 필요하다. 이에, 국가 과학기술정보 유통기관인 한국과학기술정보연구원(KISTI)에서 보유하고 있는 문헌 콘텐트와 사실 콘텐트를 주제별로 분류하고 재가공하여 특정 주제분야 전문 연구자들을 위한 오픈 아카이빙, 오픈 액세스 개념을 적용한 커뮤니티 모델을 개발하여 제공하고자 한다. 본 커뮤니티 모델은 요즘들어 가장 많은 연구가 진행되고 있는 생명과학 분야의 연구결과물을 중심으로 개발하였다. 커뮤니티 모델을 개발하기 위하여 1) KISTI가 보유하고 있는 콘텐트 현황을 조사하고, 2) 그 중에서 생명과학분야 콘텐트의 형태와 특성을 분석하고, 3) 연구자들이 연구결과물을 자유롭게 업로드/다운로드할 수 있는 웹 환경의 플랫폼을 설계하였다.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.154-163
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• 2023

With the rapid development of AI technology, ChatGPT and other AI content creation tools are becoming common, and users are becoming curious and adopting them. These tools, unlike search engines, generate results based on user prompts, which puts them at risk of inaccuracy or plagiarism. This allows unethical users to create inappropriate content and poses greater educational and corporate data security concerns. AI content detection is needed and AI-generated text needs to be identified to address misinformation and trust issues. Along with the positive use of AI tools, monitoring and regulation of their ethical use is essential. When detecting content created by AI with an AI content detection tool, it can be used efficiently by using the appropriate tool depending on the usage environment and purpose. In this paper, we collect data on AI content detection tools and compare and analyze the functions and characteristics of AI content detection tools to help meet these needs.

• Journal of the Korea Convergence Society
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• v.7 no.3
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• pp.45-51
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• 2016

The development of advanced technology gives us many problems. In mentally view point, the major one is depression. Depression appears in various forms. In worst case, it leads into suicide. This study designs and develops a new type of healing content which the convergence in the virtual space, Movement of Thought, Head Mounted Display, Leap Motion, Color Therapy, Music Therapy methods in order to improve the symptoms of depression. The developed convergence content will be effective in healing methods instead of the existing medication relieve depression and improve self-esteem of patients with depression. Future research will try to apply the clinical development of a prototype content.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.67-74
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• 2020

In this paper, we propose to present a storytelling education plan for the development of realistic content. The need is emerging in the content industry for realistic content along with technological convergence as development of media technology. This phenomenon is being accelerated by COVID-19. In 2019, the government set up strategies to secure future growth engines, announced "three major innovation strategies" in the content industry, and emphasized "fostering leading realistic content." Realistic content is a content that users can experience directly. It is first-person storytelling that should be dealt with as important as the development of technology in the production of realistic content. In this paper, the results of storytelling classes conducted at the actual educational site are analyzed, and the difference from the first-person perspective commonly used in traditional literary works is described. Through this, we present effective teaching methods that can be used to develop realistic content.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.10-14
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• 2021

Today people adopt various contents from their mobile devices which lead to numerous platforms. As technology of 5G, IOT, and smart phone develops, the number of people who create, edit, collect, and share their own videos, photos, and articles continues to increase. As more contents are shared online, the numbers of data being stolen continue to increase too. To prevent these cases, an authentication method is needed to encrypt the content and prove it as its own content. In the report, we propose a few methods to secure various misused content with secondary security. A unique private key is designed when people create new contents through sending photos or videos to platforms. The primary security is to encrypt the "Private Key" with a public key algorithm, making its data-specific "Timeset" that doesn't allow third-party users to enter. For the secondary security, we propose to use Message Authentication Codes(MACs) to certify that we have produced the content.