• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.2
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• pp.13-29
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• 2018

Currently, rural labor markets are undergoing a structural change in which the proportion of non-agricultural industries is increasing, instead of decreasing the proportion of agriculture. The purpose of this study is to propose policy for job creation in rural areas through analyzing the employment situation in Rural Korea in the context of this structural change. Using the Census of Agriculture, Farm Household Economy Survey, we analyzed the increase of low income farmers and self-employed farmers. We analyzed the changes of non-farm employment in rural areas using the Census on Establishment. The main results of the study are as follows. First, farms' pathways are very diverse by the levels of income from their own farming and other gainful activities. It is necessary to implement policies that take into account the development pathways of farm household. Second, most of the farms are in low-income and self-employment status. In order to increase their incomes, it is necessary to increase non-farm income earning policy. The rural non-farm economy is becoming increasingly important in rural Korea. The growth of the non-farm economy will be crucially important when it comes to creating new jobs in rural areas in rural Korea. Third, it is necessary to provide systematic support for rural entrepreneurship as a core policy for expanding jobs beyond agriculture. Rural entrepreneurship has the potential to drive innovations that can reduce poverty and create employment. Fourth, there is a need for measures to increase jobs in the welfare field, which is growing fastest in recent years. In the welfare field, we can find vigorous collective actions in some rural communities such as community business, cooperative movement and various community development activities. Those activities will help increase the employment of aged farmers and low-income farm household.

• Journal of The Korean Association For Science Education
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• v.43 no.3
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• pp.307-319
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• 2023

This study aims to explain the key concepts and principles of text-based generative artificial intelligence (AI) that has been receiving increasing interest and utilization, focusing on its application in science education. It also highlights the potential and limitations of utilizing generative AI in science education, providing insights for its implementation and research aspects. Recent advancements in generative AI, predominantly based on transformer models consisting of encoders and decoders, have shown remarkable progress through optimization of reinforcement learning and reward models using human feedback, as well as understanding context. Particularly, it can perform various functions such as writing, summarizing, keyword extraction, evaluation, and feedback based on the ability to understand various user questions and intents. It also offers practical utility in diagnosing learners and structuring educational content based on provided examples by educators. However, it is necessary to examine the concerns regarding the limitations of generative AI, including the potential for conveying inaccurate facts or knowledge, bias resulting from overconfidence, and uncertainties regarding its impact on user attitudes or emotions. Moreover, the responses provided by generative AI are probabilistic based on response data from many individuals, which raises concerns about limiting insightful and innovative thinking that may offer different perspectives or ideas. In light of these considerations, this study provides practical suggestions for the positive utilization of AI in science education.

• Clean Technology
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• v.29 no.2
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• pp.118-125
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• 2023

Once a site is contaminated with polychlorinated biphenyls (PCBs), serious environmental and human health risks are inevitable. Therefore, innovative but economical in situ remediation technologies must be immediately applied to the contaminated site. Recently, nanoscale zero-valent iron (nano-ZVI) particles have successfully been applied for the dechlorination of various chlorinated organic compounds like TCE, PCE and DDT, and they are considered to be environmentally safe due to the high abundance of iron in the earth's crust. Nano-ZVIs are much more reactive than granular ones, but tend to agglomerate due to their high surface energy and magnetic properties. In order to prevent them from being agglomerated toward larger particles, TiO₂ was used as a support to immobilize the nano-ZVI particles as much as possible. 10wt% ZVI/TiO₂ was prepared by adding NaBH₄ slowly into an FeSO₄/TiO₂ aqueous slurry. In spite of their non-uniformity in size, the nano-ZVI particles were quite successfully dispersed onto the exterior surface of a non-porous TiO₂ powder. The ZVI/TiO₂ was then employed to degrade Aroclor 1242, a kind of PCBs standard, in spiked soil, and its reactivity towards the degradation of Aroclor 1242 was investigated. The fabricated ZVI/TiO₂ degraded Aroclor 1242 in soil quite effectively, but the creation of remaining dechlorinated compounds, possibly high molecular weight hydrocarbons, in the soil was unavoidable.

• Convergence Security Journal
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• v.22 no.2
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• pp.131-141
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• 2022

Future battlefield domains are expanding to ground, sea, air, space, and cyber, so future military operations are expected to be carried out simultaneously and complexly in various battlefield domains. In addition, the application of convergence technologies that create innovations in all fields of economy, society, and defense, such as artificial intelligence, IoT, and big data, is being promoted. However, since the current Korean military C4I system manages warfighting function DBs in one DB server, the efficiency of combat performance is reduced utilization and distribution speed of data and operation response time. To solve this problem, research is needed on how to apply the 4th industrial revolution technologies such as AI, IoT, 5G, big data, and cloud to the Korean military C4I system, but research on this is insufficient. Therefore, this paper analyzes the problems of the current Korean military C4I system and proposes to apply the 4th industrial revolution technology in terms of operational mission, network and data link, computing environment, cyber operation, interoperability and interlocking capabilities.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.223-238
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• 2006

For a public library. which is a regional information service agency. to acquire high competitiveness, preparation for uncertainties of future through understanding its own internal strengths and weaknesses. and external opportunities and threats based on assessments regarding knowledge information environment and characteristics of regional community. current status of the library, etc. Therefore. in this study, through SWOT analysis. one of competitive strategy analysis methods, the status of competitive strategy of C library was analyzed. In order to carry out the study interview and survey were performed with professional librarians, then through final consultations from management consulting experts, a plan to strengthen competitiveness for C library was devised. Conclusions from this study were as below. In order to strengthen competitiveness of C library offering distinguished high quality services through active cooperations with external institutions, efforts to improve library's position and stand following being selected as a library to visit for 2006 World Library and Information Congress, and revitalization of library usage through providing user oriented differentiated services are needed.

• Journal of the Korean Recycled Construction Resources Institute
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• v.11 no.3
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• pp.226-233
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• 2023

In this study, two phases were conducted to investigate the direct injection of gaseous CO₂ into cement mortar. The aim was to advance carbon capture, utilization, and storage (CCUS) technology by harnessing industrial waste CO₂ from the domestic ready-mixed concrete industry. In the first phase, the factors influencing the physical properties of cement mortar when using gaseous CO₂ were identified. This included a review of materials to achieve physical properties comparable to a reference formulation. As a result of this phase, it was confirmed that traditional approaches, such as adjusting the water-to-cement ratio, had limitations in achieving the desired physical properties. Consequently, the second phase focused on the optimization of CO₂-injected mortar. This involved studying the CO₂ application and mixing method for cement mortar. Changes in properties were observed when gaseous CO₂ was injected into the mortar. The optimal injection quantity and time to enhance the compressive strength of mortar were determinded. As a result, this study indicated that an extra mixing time exceeding 120 seconds was necessary, compared to conventional mortar. The optimal CO₂ injection rate was identified as 0.1 to 0.2 % by weight of cement, taking both flowability and compressive strength performance into account. Increasing the CO₂ injection time did not further enhance strength. For this approach to be employed as a CCUS technology, additional studies are required, including a microstructural analysis evaluating the amount of immobilized CO₂.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.953-964
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• 2023

Climate change is undeniably the most urgent challenge that humanity faces today. Despite this, the level of public awareness and understanding of climate change remains insufficient, indicating a need for more proactive education and the development of supportive content. In particular, it is crucial to intensify climate change education during elementary and secondary schooling when values and ethical consciousness begin to form. However, there is a significant lack of age-appropriate, experiential educational content. To address this, our study has developed an innovative 3D simulator, enabling learners to indirectly experience the effects of climate change, specifically sea-level rise. This simulator considers not only sea-level rise caused by climate change but also storm surges, which is a design based on the analysis of long-term wave observation big data. To make the simulator accessible and engaging for students, we utilized the 'Unity' game engine. We further propose using this simulator as a part of a comprehensive educational program on climate change.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.42-50
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• 2023

The development of technology has achieved digital innovation throughout the media industry, including production techniques and editing technologies, and has brought diversity in the form of consumer viewing through the OTT service and streaming era. The convergence of big data and deep learning networks automatically generated text in format such as news articles, novels, and scripts, but there were insufficient studies that reflected the author's intention and generated story with contextually smooth. In this paper, we describe the flow of pictures in the storyboard with image caption generation techniques, and the automatic generation of story-tailored scenarios through language models. Image caption using CNN and Attention Mechanism, we generate sentences describing pictures on the storyboard, and input the generated sentences into the artificial intelligence natural language processing model KoGPT-2 in order to automatically generate scenarios that meet the planning intention. Through this paper, the author's intention and story customized scenarios are created in large quantities to alleviate the pain of content creation, and artificial intelligence participates in the overall process of digital content production to activate media intelligence.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.935-940
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• 2023

Digital-twin technology is emerging as an innovative solution for all industries, including manufacturing and production lines. Therefore, this paper optimizes all the energy used in a biomass plant based on unused resources. We will then implement a digital-twin prototype for biomass plants and evaluate its performance in order to improve the efficiency of plant operations. The proposed digital-twin prototype applies a standard communication platform between the framework and the gateway and is implemented to enable real-time collaboration. and, define the message sequence between the client server and the gateway. Therefore, an interface is implemented to enable communication with the host server. In order to verify the performance of the proposed prototype, we set up a virtual environment to collect data from the server and perform a data collection evaluation. As a result, it was confirmed that the proposed framework can contribute to energy optimization and improvement of operational efficiency when applied to biomass plants.

• Journal of the Korean Society of Radiology
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• v.18 no.2
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• pp.145-151
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• 2024

Through classes conducted using the Shift+N teaching method developed by H University for students taking major courses in radiology, the factors that influence teaching methods on learning outcomes and satisfaction with major courses were identified based on a survey of students. The analysis results were described. Compared to the existing major class method, pre-study was conducted through non-face-to-face lectures in advance and face-to-face lectures were conducted for the main class. After the lecture, related keywords corresponding to the parking lot were presented and class contents related to the keywords were applied. A possible problem was presented. In the next week, we proceeded with problem solving and explaining again the difficult or insufficient parts related to the students' review. As a result, the Shift+N teaching method showed high student participation and satisfaction due to the new class progress, which is different from the existing theory major class. Based on the results of this study, in order to efficiently deliver learning content to strengthen major competencies, we must improve existing major classes and develop teaching methods tailored to major subjects to improve students' knowledge and satisfaction through more effective and innovative teaching methods. A plan must be found.