• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.335-358
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• 2023

This study analyzed the characteristics of the learning organization according to its characteristics, the operation method and size of each public library. In addition, the service quality of public libraries was investigated so that it was also analyzed the correlation between the characteristics of the learning organization and the quality of the service. To achieve the research objectives, 83 librarians and 343 users across seven public libraries in South Korea's metropolitan areas were surveyed. The investigation covered various dimensions of learning organizations: creating continuous learning opportunities, promoting inquiry and dialogue, encouraging collaboration and team learning, creating systems to capture and share learning, empowering people toward a collective vision, connecting the organization to its environment, and providing strategic leadership for learning. Also it was investigated aspects of service quality: affect of service, information control, and library as place. As a result of the study, for the learning organization characteristics, more than 3.4 out of 5 were qualified to have foundation of learning organizations. One attempted to categorize according to its operational method and size and compare learning organization differences between public libraries, however it was not easy to see the clear differences. Therefore it was judged that there might be another unidentified factor which gives an affect on learning organization. Furthermore, it was found that there was a positive correlation between learning organization traits and service quality. This study might signify by looking into how the learning organization, which is one of the post-bureaucratic organizational traits, appears in public libraries.

• Land and Housing Review
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• v.15 no.2
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• pp.107-124
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• 2024

Based on Muan-gun, Jeollanam-do, this study explores how to mitigate the disappearance of rual areas. The study surveyed 95 young farmers in Muan-gun to assess their farming practices and the challenges they face. We further employ factor analysis and cluster analysis classify young farmers in Muan-gun, facilitating the identification of tailored policies or initiatives aimed at fostering and supporting young farmers. The results are summarized as follows. First, Muan County does not have any ordinances or original projects specifically designed to support young farmers. Second, the succession rate of farmland among young farmers in Muan County is 41.1%, which is comparable to the national rate of 43.7%. This indicates that approximately 40% of young farmers in Korea have inherited farmland, a critical foundation for agricultural activities. Third, despite accumulating farming experience, young farmers have not seen any improvement in local living conditions, and rather their difficulties have intensified. Fourth, this study conducted a factor analysis using 21 variables, resulting in the selection of seven common factors for cluster analysis. Consequently, young farmers in Muan County were categorized into three groups. The multinomial logit analysis revealed that the typology of young farmers is influenced by indicators such as cultivated area, farming experience, demand for smart farms, farm income, and farming type (rice cultivation or other). Therefore, to attract young farmers and prevent the decline of rural areas, policy efforts should focus on minimizing entry barriers to farming infrastructure, such as access to farmland, and improving local settlement conditions.

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.1-15
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• 2024

The construction of smart communities is a new method and important measure to ensure the security of residential areas. In order to solve the problem of low accuracy in face recognition caused by distorting facial features due to monitoring camera angles and other external factors, this paper proposes the following optimization strategies in designing a face recognition network: firstly, a global graph convolution module is designed to encode facial features as graph nodes, and a multi-scale feature enhancement residual module is designed to extract facial keypoint features in conjunction with the global graph convolution module. Secondly, after obtaining facial keypoints, they are constructed as a directed graph structure, and graph attention mechanisms are used to enhance the representation power of graph features. Finally, tensor computations are performed on the graph features of two faces, and the aggregated features are extracted and discriminated by a fully connected layer to determine whether the individuals' identities are the same. Through various experimental tests, the network designed in this paper achieves an AUC index of 85.65% for facial keypoint localization on the 300W public dataset and 88.92% on a self-built dataset. In terms of face recognition accuracy, the proposed network achieves an accuracy of 83.41% on the IBUG public dataset and 96.74% on a self-built dataset. Experimental results demonstrate that the network designed in this paper exhibits high detection and recognition accuracy for faces in surveillance videos.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.51-60
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• 2024

The purpose of this study is to explore the meaning of the 2018 'Comprehensive Plan for the Vitalization of Democratic Citizenship Education' centered on the '2022 Revised Curriculum General Discussion'. Research Results First, in the case of strengthening democratic citizenship education in schools, one of the main tasks in the general discussion of the 2022 revised curriculum emphasizes democratic citizenship education to cultivate citizenship. are doing Second, in the case of teacher professionalism enhancement and support for educational activities, development of teaching and learning materials and reinforcement of teacher training are promoted in the 2022 revised curriculum summary. Third, in the case of creating a democratic school culture, the 2022 revised curriculum outline guarantees student safety and learning rights through remodeling or remodeling old schools to restructure learning spaces and realize a digital-based learning environment. Fourth, in the case of revitalization of student autonomy, in the general discussion of the 2022 revised curriculum, the autonomy of the school curriculum considering the needs of students and school conditions is expanded, and classes centered on participatory experiences and self-government activities are strengthened. Fifth, in the case of establishing a democratic citizenship education support system, the 2022 revised curriculum outline establishes a mutual cooperation system that respects the roles and expertise of various educational subjects and a mutual cooperation system between the local community and the educational community.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.809-818
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• 2024

This paper proposes an action plan for local governments to safely utilize artificial intelligence technology in various local government policies. The proposed method analyzes cases of application of artificial intelligence-related laws and policies in Gyeonggi Province, Seoul City, and New York City, and then presents matters that local governments should consider when utilizing AI technology in their policies. This paper applies the AILocalism-Korea analysis methodology, which is a modified version of the AILocalsm analysis methodology[1] presented by TheGovLab at New York University. AILocalism-Korea is an analysis methodology created to analyze the current activities of each local government in the fields of legal system, public procurement, mutual cooperation, and citizen participation, and to suggest practical alternatives in each area. In this paper, we use this analysis methodology to present 9 action plans that local governments should take based on safe and reliable use of artificial intelligence. By utilizing various AI technologies through the proposed plan in local government policies, it will be possible to realize reliable public services.

• Journal of The Korean Association For Science Education
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• v.44 no.1
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• pp.77-86
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• 2024

This study analyzed students' discourse and learning to investigate the impact of using Google Docs in science classes. The researcher, who is also a science teacher, conducted classes for 49 second-year middle school students. The classes included one using Google Docs and another using traditional paper worksheets covering identical content. Students' discourse collected from each class was compared and analyzed using Epistemic Network Analysis (ENA). The findings indicated that in the class using Google Docs, the proportion of discourse related to task was higher compared to the traditional class. More specifically, discourse regarding taking and uploading photos was prominent. However, such discourse did not lead to peer learning as intended by the teacher. An analysis based on achievement levels revealed that the class utilizing Google Docs had a relatively higher proportion of discourse from lower-achieving students. Additionally, differences were observed in the types of utterances and connection structures between the higher and lower-achieving students. The higher-achieving students took a leading role in providing suggestions and explanations, while the lower-achieving students played a role in transcribing them, with this tendency being more pronounced in the class using Google Docs. Lastly, students' changes in perception regarding the cause of static electricity were visualized using ENA. Based on the research findings, this study proposes strategies to enhance collaborative learning using Google Docs, including the use of open-ended problems to allow diverse opinions and outputs, and exploring the potential use of ENA to assess the learning effects of conceptual learning.

• Convergence Security Journal
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• v.23 no.4
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• pp.141-151
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• 2023

Since the end of the Cold War in the 1990s, European countries have cut defense costs and reduced armaments as an era of peace without large-scale wars continues, and as a result, the West's defense industry base has gradually weakened. On the other hand, South Korea, the world's only divided country, was able to achieve high growth in the defense industry as a result of continuous arms strengthening in the face of North Korea's nuclear and missile threats. With the rapid increase in demand for conventional weapons systems and changes in the structure of the global defense market due to the Russia-Ukraine war, Korea's weapons system drew great attention as a large-scale defense export contract with Poland was signed in 2022. In 2023, K-Defense ranked ninth in the world's arms exports and aims to become the world's fourth-largest defense exporter by 2027. Therefore, this study analyzed the case of Korea-Poland defense exports to derive problems, and presented development strategies related to export revitalization of K-Defense, a national strategic industry. In order for the defense industry to become Korea's next growth engine, it is necessary to establish a defense organization, prepare government-level measures to protect defense industry technology, and expand military and security cooperation with allies linked to defense exports.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.12 no.2
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• pp.73-80
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• 2007

The chum salmon enhancement program in Korea started at Gowon in Hamgyeong nam-do in 1913 and the program has been more active since Yeongdong Inland Fisheries Research Institute was established at Yangyang in 1984. The major activities were the release of chum salmon fingerlings and the catch of adult chum salmon for artificial fertilization. The range of return rate to Korean waters was in $0.72{\sim}1.57%$ during 1990s, but it has declined seriously since 2000. To overcome the low return rate and enhance chum salmon resources in Korean waters, we must understand the mechanisms of mass mortality of chum salmon during their early life in rivers and coastal areas in conjuction with the fluctuation of return rates and climate. In addition, comprehensive and effective habitat protection and restoration policies will be needed.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.51-59
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• 2024

The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.

• Journal of Hospice and Palliative Care
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• v.9 no.2
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• pp.77-85
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• 2006

Purpose: The purpose of this study is to develop the basic curriculum for the nurses who work at hospice and palliative care settings. Methods: Seven curricula of hospice and palliative care for the nurses in Korea and other countries were reviewed, and Education Need for hospice and palliative care was surveyed from 162 nurses by mailing the questionnaires to hospice palliative care settings. Results: 1. The curricula of hospice and palliative care for the nurses in Korea and other countries in common include 'understanding of hospice and palliative care', 'understanding of lift and death', 'pain and symptom management for person with terminal disease', 'on-the-spot study and practical training', 'management of hospice and palliative ward', 'hospice and palliative care at home', 'physical assessment', 'therapeutic communication skills', 'children's hospice', 'administration and management of hospice and palliative care', 'interdisciplinary team of hospice and palliative care', 'ethics and laws in hospice and palliative care', 'psychological, social and spiritual care', 'care of the dying', 'bereavement care', etc. 2. The scores above 3.3 were marked for 34 items in education Need Survey. The highest scores were given in the order for the items 'understanding of death and dying', 'attitude and response to death and dying', 'understanding and assessment of pain' etc. respondents marked that they have been trained for 'pain and symptom management', 'ethics and laws in hospice and palliative care', 'building the system for cooperation and publicity activities in hospice' etc. 3. The basic curriculum of hospice and palliative care for the nurses requires 78 studying hours for 17 subjects, comprising 48 hours of theory education and 30 hours of practical training. The education methods are lectures, discussions, and case studies. Conclusion: The efforts of developed basic curriculum should be evaluated after educating nurses. It is necessary to develop the standard curriculum and regularly update it based on the result of education Need Survey for actively working nurses in hospice and palliative care settings.