• Journal of Advanced Navigation Technology
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• v.27 no.2
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• pp.209-213
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• 2023

Currently, 2.4 GHz and 5 GHz bands are used as frequencies for drone operation. In December 2019, the Ministry of Science and ICT newly allocated the 433 MHz band for the invisible long-distance operation of drones. However, since the 433 MHz band is the same as the previously allocated frequency band for amateur radio communication, interference cannot be avoided. Therefore, as a prerequisite for the development of a drone operation system based on the 433 MHz band, interference avoidance technology for this frequency band must be developed and applied. In this paper, we report the results of measurement and analysis of 433 MHz band signals necessary for the development of interference avoidance and reduction technologies for 433 MHz signals. The measurement and analysis of the 433 MHz band signal are performed through the spectrum measured at 5-minute intervals at three locations. Since the measurements and analyzes performed in this study considered spatial characteristics, temporal characteristics, and traffic characteristics, it is considered to be the basic data necessary for the development of interference avoidance technology in the 433 MHz band.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.76-85
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• 2022

At the 8th National High-Performance Computing (HPC) Committee convened in 2021, the "National High-Performance Computing Innovation Strategy (draft) for the 4th Industrial Revolution Era" was deliberated and the original draft was approved. In this proposal, the Ministry of Science and ICT in KOREA announced three major plans and nine detailed projects with the vision of "Realizing the 4th industrial revolution quantum jumping by leaping into a high-performance computing powerhouse." Thereby the most important policy about national mid-term and long-term HPC development was established and called the HPC innovation strategy (hereinafter "the innovation strategy"). The three plans of the innovation strategy proposed by the government are: Strategic HPC infrastructure expansion; Secure source technologies; and Activate innovative HPC utilization. Each of the detailed projects has to be executed nationally and strategically. In this paper, we propose a strategy for the implementation of two items ("Strategic HPC infrastructure expansion" and "activate innovative HPC utilization") among these detailed plans.

• Smart Media Journal
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• v.12 no.1
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• pp.47-53
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• 2023

Recently, research on a smart farm that creates new values by combining information and communication technology(ICT) with agriculture has been actively done. In order for domestic smart farm technology to have productivity at the same level of advanced agricultural countries, automated decision-making using machine learning is necessary. However, current smart greenhouse data collection technologies in our country are not enough to perform big data analysis or machine learning. In this paper, we design and implement a smart greenhouse data preprocessing system for autonomous machine learning. The proposed system applies target data to various preprocessing techniques. And the proposed system evaluate the performance of each preprocessing technique and store optimal preprocessing technique for each data. Stored optimal preprocessing techniques are used to perform preprocessing on newly collected data

• Korea Trade Review
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• v.47 no.6
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• pp.247-267
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• 2022

Since the Korea-Vietnam FTA was signed in 2015, trade between the two countries has increased rapidly, accounting for 6.8% of Vietnam's exports and 17.9% of its imports in 2020. The two countries show differences in import and export items. Vietnam has a high export ratio of agri-food products or products with the low-middle level of technology, while Korea has a high export ratio of products with the upper-middle level. The purpose of this study is to present implications by analyzing changes in trade competitiveness between Vietnam and Korea by technology level (2002-2020). For this purpose, statistics from UN Comtrade were used, and methodologies such as market share, Export Market Share (EMS), Trade Specialization Index (TSI), Intra-Industrial Trade Index (IIT), Revealed Comparative Advantage (RCA), and BCG Matrix were used. The results of the study are as follows. First, when looking at Vietnam's trade structure with South Korea by technology level, it was analyzed that the trade deficit widened as it showed a competitive disadvantage in high-tech, ICT, middle- and low-level technology items, excluding low-end technology items. Second, in terms of market share, the market share of Vietnamese products in the Korean market is continuously increasing, while the Korean market share in Vietnam is gradually decreasing from 2017. Third, Vietnam's export competitiveness to Korea by technology level shows that low-level technologies are competitive, but they are inferior in competitiveness in all other technology level, and especially in areas with high technology level, the level of inferiority is high. In conclusion, the trade relationship between Vietnam and Korea has maintained a mutually complementary rather than competitive relationship, which is expected to continue in the future.

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.4
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• pp.45-56
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• 2023

Purpose: Recently, Korea has been promoting smart cities that combine artificial intelligence(AI), big data, ICT, and the Internet of Things(IoT), and these technologies are being applied to housing services and are developing into smart housing services. This study try to analyze what is the most necessary and important the AI smart housing services for the housing disadvantaged persons through a survey of experts and the housing disadvantaged persons. And by collecting these necessary and important services, we aim to present elements and directions for the AI smart housing services policy for the housing disadvantaged persons. Methods: Firstly, we asked 11 experts, Secondly, the desire and necessity for the above smart housing service was identified through an online survey targeting the housing disadvantaged persons. Thirdly, the survey was analyzed and reliability was measured through descriptive statistical analysis using SPSS program. Fourthly, based on the results of descriptive statistics analysis, the necessity and importance of AI smart housing services from the perspective of the housing disadvantaged were derived. Results: The results of this study are that firstly, both experts and the housing disadvantaged persons viewed safety and health-related services as the most important and necessary among AI smart housing services, secondly, there is a difference in perspectives on the services that should be priority between experts and people with disabilities, and lastly there are differences in perspectives and needs for services that should be priority between the disabled and the elderly.

• Journal of the Society of Naval Architects of Korea
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• v.60 no.5
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• pp.367-374
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• 2023

As the Fourth Industrial Revolution accelerating, countries worldwide are developing technologies to digitize and automate various industrial sectors. Building smart factories not only reduces costs through improved process productivity but also allows for preemptive identification and removal of risk factors through the practice of Health, Safety, and Environment (HSE) management, thereby reducing industrial accident risks. In this study, we visualized pressure, temperature, power, and wind speed data measured in real-time via a monitoring GUI, enabling field managers and workers to easily access related information. Through the work environment monitoring system developed in this study, it is possible to conduct economic analysis on per-unit basis, based on the digitization of production management elements and the tracking of required resources. By implementing HSE in shipyards, potential risk factors can be improved, and gas and electrical leaks can be identified, which are expected to reduce production costs.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1299-1306
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• 2023

In this paper, we present a system for undesignated cultural heritage management and real-time theft chase, which uses flash-based large-capacity storage. The proposed system is composed of 3 parts, such as a cultural management device, a flash-based server, and a monitoring service for managing cultural heritages and chasing thefts using IoT technologies. However flash-based storage needs methods to overcome the limited lifespan. Therefore, in this paper, we present a system, which uses the disk buffer in flash-based storage to overcome the disadvantage, and evaluate the system performance in various environments. In our experiments, LRU policy shows the number of direct writes in the flash-based storage by 10.7% on average compared with CLOCK and FCFS.

• Journal of the Korean Institute of Rural Architecture
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• v.26 no.2
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• pp.37-46
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• 2024

The city is developing into a smart city. Smart villages and smart farms are developing in rural areas. Architectural technology needs synergy with smart cities, smart villages, and smart factories (intelligent factories) to help architectural experts understand smart farms and build facilities and equipment. Smart farms require design and construction technology with architectural structure and function. The purpose of this study was to investigate the current status and cases of smart farms in Korea and to investigate cases abroad. The conclusion is as follows. ① Smart farms are developing rapidly. The Korean government is expanding smart farms by utilizing ICT technology and infrastructure. ② 'Smart Farm Innovation Valley', which has been promoted since 2018, is a cutting-edge convergence cluster industrial complex that integrates production, education, and research functions such as start-ups and technological innovation. ③ In domestic cases, smart farms are operated in subway stations, buildings, supermarkets, and restaurants. ④ In the Japanese case, a dome-type smart farm was being operated. It utilized factory wastewater, waste heat, renewable energy, and used new materials. Otemachi Ranch raised livestock and provided a lounge on the 13th floor of the building. ⑤ In the cases of Korea and Japan, the smart farm technology is very similar. As stated earlier, since the food culture and agricultural technology of both countries are similar, we hope to promote the development of smart farms that can reduce concerns about future food by communicating and sharing mutual technologies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.263-269
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• 2024

Amidst the global challenges of climate crisis, warfare, and escalating inequality, the pursuit of achieving the United Nations Sustainable Development Goals (SDGs) has become increasingly imperative. Consequently, research into effective pedagogical methodologies from the student perspective continues to gain momentum. Particularly, with the advancement of generative AI technologies, the potential for leveraging such tools in providing global citizenship education to the youth is garnering attention. This study implemented and emphatically analyzed an artificial intelligence educational program focused on the creation of sustainable urban spaces under the UN Academic Impact(UNAI). The findings indicated a high level of literacy pertaining to global citizen AI education, evidenced by increased interest, satisfaction, and recommendation intention. Furthermore, the study observed an enhancement in digital interactions through the processes of posting, viewing, and real-time discussions of the created works with Generative AI such as the ChatGPT, Midjourney, and Stable Diffusion. Through these instances, the study proposes the development of HTHT curricula that enhance creative thinking, collaborative growth, and analytical capabilities.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.561-572
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• 2024

Recent advancements in generative AI technologies, such as ChatGPT, as well as in cloud computing and big data, have brought about rapid changes across all aspects of human life and industry. Amidst these changes, a new civilization called the "Intelligent Information Society" is emerging, highlighting the growing importance of AI education. This study aims to systematically analyze the educational elements necessary for building an Intelligent Information Society and propose an ideal model for AI education. It examines various international and domestic cases of intelligent information education to identify the current status and key issues and to explore potential solutions. Additionally, the study proposes foundational, specialized, applied, and future-oriented AI education models, providing educational methodologies tailored to each level. Based on these models, a strategic education roadmap and policy recommendations are developed to establish a foundation for the harmonious development of humans and technology in the Intelligent Information Society. This study seeks to reaffirm the significance of AI education as a critical element for advancing the Intelligent Information Society and to provide direction for future educational strategies.