• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.449-455
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• 2022

The Colony of Selaginella involvens (Sw.) Spring in Sanyang-myeon, Mungyeong-si, can be divided into five types, and in the past, it was said that Selaginella involvens (Sw.) Spring formed colonies throughout the colony and grew naturally, but now it remains only in some sections. It was found that the Selaginella involvens (Sw.) Spring colony was damaged by artificial and natural factors, and as an artificial factor, the Selaginella involvens (Sw.) Spring was proven to be effective for medicinal and cremation, and many people were damaging the Selaginella involvens (Sw.) Spring colony without permission. Naturally, vines thrive and Selaginella involvens (Sw.) Spring die, and the reality is that the entire colony of Selaginella involvens (Sw.) Spring is in danger of being damaged if maintenance is not performed. On the other hand, there are sections that reproduce with symbiosis with some herbaceous plants, so it is necessary to plan and implement conservation strategies. In order to preserve the Selaginella involvens (Sw.) Spring colony, CCTV is needed to prevent artificial damage, and on the contrary, install facilities such as fences can easily burn up and create worse scenery, so it can preserve the good environment, restore recoverable areas, and install supplementary buffer zones.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.32 no.12
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• pp.50-55
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• 2014

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2012.06a
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• pp.104-104
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• 2012

이 프로그램의 중요한점은 기존 모든 선박이 가지고 있는 각종 에너지 손실 및 온실가스 배출관련 육상의 ECO-DRIVER에 준하는 해상의 ECO-SAILING 방식의 알고리즘으로 접근하여 IT융합을 기반으로 SW만으로 에너지 효율 최적화와 온실가스 저감을 구현한다고 할수 있다.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.179-194
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• 2022

After the work-study combination PBL method was first introduced into the P-Tech type in 2018, it was introduced into the degree-linked high-skilled professional course in operation as a pilot project in 2020, and ever since each department has reorganized the standard completion system to meet the PBL operation regulations and developed and operated PBL-based learning and training courses accordingly. With the expansion of the work-study combination PBL in 2021, the operating regulations were revised more elaborately. This paper examined the characteristics of the work-study combination PBL, the PBL operation regulations for each degree-linked high-skilled professional course, and the most recently implemented PBL operation regulations in detail through literature research. Based on this research, it introduced the development process and the result of the PBL-based standard completion system by the IT Convergence SW Engineering Department of KOREATECH and the result of the survey conducted to verify the suitability of the standard completion system after an operation and presented the challenges and improvements required for the degree-linked high-skilled professional course in relation to the changing operation regulations for the work-study combination PBL. This study is expected to provide universities with a reference to the development of training courses to smoothly apply the work-study combination PBL. It is also expected to contribute to the establishment and steady expansion of a unique PBL system that reflects the characteristics of work-study combination by presenting discourses on how the work-study combination PBL should develop, including high-skilled professional courses.

• Information and Communications Magazine
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• v.27 no.1
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• pp.21-27
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• 2009

IT KOREA 미래전략 '5대 핵심과제'의 전략분야별 주요 이슈와 현재 R&D현장에서 추진 중이거나 추진 예정으로 있는 연구개발 방향과 유망기술에 대해 간략히 살펴보고자 한다. IT융합 부문은 IT와 상호 Win-Win 가능한 자동차 조선 의료 등 비(非)IT산업의 IT융합을 촉진하고, 시스템반도체 스마트SOC Green IT 등을 고도화한다는 전략을 토대로 4개 전략분야에서 23개의 유망기술을 발굴 제시하였다. SW 부문은 IT 분야 중 가장 취약한 것으로 평가되고 있는 SW산업을 하드웨어 인프라 등과 연계하여 세계시장 진출이 가능한 수준으로 동반성장 시킨다는 전략을 기반으로 R&D 연관성이 높은 2개 전략분야에서 11개의 유망기술을 발굴 제시하였다. 주력 IT기기 부문은 반도체 디스플레이 휴대폰 등 이미 세계 시장에서 독자적 위치를 차지하고 있는 하드웨어산업의 글로벌 주도권을 더욱 확고히 한다는 전략에 따라 5개 전략분야에서 유망기술 10개를 발굴 제시하였다. 방송통신 부문은 WiBro DMB 등 세계적 수준의 방송통신기술을 바탕으로 4G 3DTV 등 차세대 방송통신기술의 핵심원천기술을 개발하고, 국제표준을 확보한다는 전략을 기반으로 4개 전략분야에서 유망기술 8개를 발굴 제시하였다. 인터넷 부문은 UBcN 미래인터넷 정보보안 등을 대상으로 하고 있으며, 특히 미래인터넷의 경우, 초기 개발단계부터 핵심원천기술 확보를 목표로 시스코 구글 등과 같은 세계적인 기업들을 배출할 수 있는 여건을 조성한다는 전략에 따라 4개 전략분야에서 유망기술 8개를 발굴 제시하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.781-786
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• 2019

We should give a realistic value on the large amounts of relevant data obtained from these studies to achieve effective objectives of the disease study which is dealing with various vital phenomenon today. In this paper, the proposed MKSV algorithm is estimated by optimal probability distribution, and the input pattern is determined. After classifying it into data mining, it is possible to obtain efficient computational quantity and recognition rate. MKSV algorithm is useful for studying the relationship between disease and gene in the present society by simulating the probabilistic flow of gene data and showing fast and effective performance improvement to classify data through the data mining process of big data.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.21-29
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• 2020

The Topic Modeling research, the methodology for deduction keyword within literature, has become active with the explosion of data from digital society transition. The research objective is to investigate research trends in D.N.A.(Data, Network, Artificial Intelligence) field using DTM(Dynamic Topic Model). DTM model was applied to the 1,519 of research projects with SW·A.I technology classifications among ICT(Information and Communication Technology) field projects between 6 years(2015~2020). As a result, technology keyword for D.N.A. field; Big data, Cloud, Artificial Intelligence, extended keyword; Unstructured, Edge Computing, Learning, Recognition was appeared every year, and accordingly that the above technology is being researched inclusively from other projects can be inferred. Finally, it is expected that the result from this paper become useful for future policy·R&D planning and corporation's technology·marketing strategy.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.143-148
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• 2019

In modern society, developing and utilizing safety service and system environments is a very important and great interest. In particular, the provision of safety services to socially vulnerable groups such as children, the elderly, women, the disabled and foreigners has become a social issue. However, since most safety services and systems are applied to the general public, it is necessary to develop systems for socially vulnerable groups. Therefore, in this paper, we developed a system module that processes and transmits data to recognize the situation in real time and respond quickly. To this end, various sensors for real-time situation recognition were designed as integrated modules, and a safety system module was developed to analyze the collected data and transmit the processing results.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.713-721
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• 2021

As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.

• Convergence Security Journal
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• v.24 no.2
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• pp.89-104
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• 2024

This study is an empirical study to examine the factors that influence the intention to use artificial intelligence (AI) technology for SW engineering-related tasks, and the purpose of the study is to understand the key factors that influence the use in terms of AI augmentation characteristics and interactive UI/UX characteristics. For this purpose, a survey was conducted among information and communication workers who have experience in using AI-related technologies and the collected data was analyzed. The results of the empirical analysis showed that perceived usefulness was positively influenced by the factors of expertise, interestingness, realism, aesthetics, efficiency, and flexibility, and perceived ease of use was positively influenced by the factors of expertise, interestingness, realism, aesthetics, and flexibility. Variety had no effect on both perceived ease of use and perceived usefulness. Perceived ease of use had a significant effect on perceived immersion, which positively influenced intention to use. These findings are significant in that they provide an academic understanding of the factors that influence the use of AI-enhanced tools in SW engineering-related tasks such as application design, development, testing, and process automation, as well as practical directions for the creators of tools that provide AI-enhanced development services to develop user acquisition strategies.