• Journal of the Korean Society for Library and Information Science
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• v.58 no.2
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• pp.121-150
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• 2024

This paper is a preliminary study to consider the introduction of structured abstracts to Korean journals in the field of library and information science (LIS). To achieve this, we first identified examples of overseas LIS journals that have adopted structured abstracts, and analyzed the occurrence statistics of each section of structured abstracts for four journals published by Emerald Publishing that emphasize the value of research and practical/social implications sections. Considering the inherent drawback of longer abstracts, we examined the abstract policies and the abstract lengths of recently published articles of four Korean LIS journals. Additionally, we identified some cases where essential elements were missing from the Korean abstracts. Finally, a proposal for the adoption of structured abstracts for Korean LIS journals was presented, focusing on the length of abstracts and the organization of sections. It is expected that the adoption of the proposed structured abstract format will facilitate the utilization of Korean LIS research in the library and information management practice.

• Journal of Information Processing Systems
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• v.20 no.3
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• pp.337-344
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• 2024

It is a complex project to construct the standard system of sports events. Sports events standard system covers from the implementation plan to the evaluation work after the smooth implementation of sports events, involving many links. Large-scale sports events have extremely high media value. However, the successful organization and operation of large-scale sports events face many problems to be overcome, especially in terms of event safety. Although the organizers and organizers of large-scale events have invested many resources for the safe holding of sports events, violence similar to "football hooligans" in Europe is endless. At present, compared with Western countries, the standardization of sports events in China is low, and there is a problem of a late start and huge difference with Western developed countries. Knowing the construction of the standardization system's situation in China, we have summarized the data related to 15 sports events held in Chengdu is the last 5 years. By analyzing the problems in the process of holding these 15 events and the reflections of participants on the experience of sports events, the problems in the development of the standard system of sports events are discussed in depth. The final conclusion is that the system structure of China's sports events is not so good and athletes have a poor experience. China's sports event system still has many problems. Finally, we built a sports event standardization model using Internet of Things, and after a practical test we found that it has a good effect. Finally, we combined the current situation of sports event standardization system in China and put forward the following suggestions: laws and regulations related to the standard system of sports events must be formulated at the national level. The implementation level must strengthen the degree of integration of sports events and technology. To improve the quality of human resources in the management of sports events. The article puts forward targeted solutions, which play a great role in promoting the perfection and completeness of China's standard system for sports events. At the same time, it also promotes economic development and improves China's international status.

• The Transactions of the Korea Information Processing Society
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• v.13 no.7
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• pp.311-318
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• 2024

As the amount of data increases due to the development of artificial intelligence and the Internet, data management is becoming increasingly important, and the efficient utilization of data retrieval and memory space is crucial. In this study, we investigate how to optimize search speed and memory efficiency by analyzing data structure based on metadata. As a research method, we compared and analyzed the performance of the array, association list, dictionary binary tree, and graph data structures using metadata of photographic images, focusing on temporal and space complexity. Through experimentation, it was confirmed that dictionary data structure performs best in collection speed and graph data structure performs best in search speed when dealing with large-scale image data. We expect the results of this paper to provide practical guidelines for selecting data structures to optimize search speed and memory efficiency for the images data.

• Journal of Advanced Technology Convergence
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• v.3 no.3
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• pp.37-45
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• 2024

This study reviews the literature on the utilization of gamification elements in digital applications for cognitive assessment and rehabilitation of the elderly, focusing on both domestic and international research from 2015 to 2024. Following the PRISMA methodology, inclusion and exclusion criteria were applied to align with the research objectives. Out of 1,718 initial studies, 18 were ultimately analyzed after a screening and filtering process. The results of this literature review indicate a growing interest in cognitive training and other interventions aimed at mitigating cognitive decline among the elderly. Additionally, it was found that the gamification elements of digital applications are effective in engaging elderly users and improving cognitive functions such as memory, attention, and executive function. The findings of this study suggest that integrating gamification elements can enhance user engagement and provide practical solutions for cognitive health management. Further research is needed to explore the long-term effects and broader applicability of these digital interventions.

• Journal of the Health Care and Life Science
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• v.10 no.2
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• pp.201-209
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• 2022

The purpose of this study was to grasp the degree of preventive behavior of new infectious diseases in university students and to seek a practical plan for preventive behavior. Methods: The subjects of the study analyzed the factors that influenced the degree of preventive behavior of new infectious diseases in university students enrolled in the university of D city material by applying the factors of the health belief model. Results: Research Results First, Severity factors and preventive behavior intent are associated(β.164). Second, no association between the susceptibility factor and the prevent behavior intent. Third, Self-efficacy factors affected preventive behavior intent the most(β.640). Conclusions: The recommendations of the research results are as follows. In the future, institutional supplements and measures to foster the correct awareness level for new infectious diseases and raise the understanding of public health in a state where the possibility of developing new infectious diseases is high, first, regular survey and analysis, secondly, School health education, thirdly, concrete and practicable measures for one's own health management dimension should be introduced preemptively.

• Journal of Digital Policy
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• v.3 no.3
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• pp.9-14
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• 2024

In this paper, proposes a method using a multi block structure composed of residual blocks with adaptive weights to improve the quality of results in single image super resolution. In the process of generating super resolution images using deep learning, the most critical factor for enhancing quality is feature extraction and application. While extracting various features is essential for restoring fine details that have been lost due to low resolution, issues such as increased network depth and complexity pose challenges in practical implementation. Therefore, the feature extraction process was structured efficiently, and the application process was improved to enhance quality. To achieve this, a multi block structure was designed after the initial feature extraction, with nested residual blocks inside each block, where adaptive weights were applied. Additionally, for final high resolution reconstruction, a multi kernel image reconstruction process was employed, further improving the quality of the results. The performance of the proposed method was evaluated by calculating PSNR and SSIM values compared to the original image, and its superiority was demonstrated through comparisons with existing algorithms.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.3
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• pp.67-72
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• 2024

This study developed a dry composite module-type deodorization facility with Twisting airflow changes and two forms (catalyst, adsorbent) within one module. Experiments were conducted to evaluate the reduction efficiency of odor substances C₈H₇N and C₉H₉N. The device combines UV oxidation using TiO₂, catalytic oxidation using MnO₂, and adsorption using A/C in five different methods. Data analysis of experimental results utilized the statistical package program Python 3.12. The program applied frequency analysis of odor removal efficiency, one-way ANOVA, and post-hoc tests, with statistical significance determined by p-value to ensure reliability and validity of the measurements. Results indicated that the highest removal efficiency of C₈H₇N and C₉H₉N was achieved by the UV+A/C method, suggesting the superior effectiveness and efficiency of the developed device. Combining multiple processes and technologies within one module enhanced odor treatment efficiency compared to using a single method. The device's modularity allows for flexibility in adapting to various sewage treatment scenarios, offering easy maintenance and cost-effective deodorization. This composite reaction module device can apply multiple technologies, such as biofilters, plasma, activated carbon filters, UV-photocatalysis, and electromagnetic-chemical systems. However, this study focused on UV-photocatalysis, catalysts, and activated carbon filters. Ultimately, the research demonstrates the practical applicability of this innovative device in real sewage treatment operations, showing excellent reduction efficiency and effectiveness by integrating UV oxidation, TiO₂ photocatalysis, MnO₂ catalytic oxidation, and A/C adsorption within a modular system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1968-1985
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• 2024

At present, the world is witnessing a rapid change in all the fields of human civilization business interests and goals of all the sectors are changing very fast. Global changes are taking place quickly in all fields - manufacturing, service, agriculture, and external sectors. There are plenty of hurdles in the emerging technologies in agriculture in the modern days. While adopting such technologies as transparency and trust issues among stakeholders, there arises a pressurized necessity on food suppliers because it has to create sustainable systems not only addressing demand-supply disparities but also ensuring food authenticity. Recent studies have attempted to explore the potential of technologies like blockchain and practices for smart and sustainable agriculture. Besides, this well-researched work investigates how a scientific cum technological blockchain architecture addresses supply chain challenges in Precision Agriculture to take up challenges related to transparency traceability, and security. A robust registration phase, efficient authentication mechanisms, and optimized data management strategies are the key components of the proposed architecture. Through secured key exchange mechanisms and encryption techniques, client's identities are verified with inevitable complexity. The confluence of IoT and blockchain technologies that set up modern farms amplify control within supply chain networks. The practical manifestation of the researchers' novel blockchain architecture that has been executed on the Hyperledger network, exposes a clear validation using corroboration of concept. Through exhaustive experimental analyses that encompass, transaction confirmation time and scalability metrics, the proposed architecture not only demonstrates efficiency but also underscores its usability to meet the demands of contemporary Precision Agriculture systems. However, the scholarly paper based upon a comprehensive overview resolves a solution as a fruitful and impactful contribution to blockchain applications in agriculture supply chains.

• Journal of Industrial Convergence
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• v.22 no.7
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• pp.103-112
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• 2024

The purpose of this study is to verify the effect of parent's support on the school adaptation of immigrant adolescents to school life, the mediating effect of self-esteem, and the moderating effect of cultural adaptation stress. The data used for the analysis were the second panel data (2020) among the multicultural youth panel survey data. As for the data analysis method, frequency analysis, descriptive statistics analysis, correlation analysis, PROCESS MACRO Model Number 4 and PROCESS MACRO Model Number 1 analysis were performed. As a result of the analysis, first, parental support showed a positive (+) effect on school life adaptation. Second, in the relationship between parent's support and school adaptation, self-esteem had a statistically significant indirect effect. Third, it was found that cultural adaptation stress had no moderating effect in the relationship between parent's support and school adaptation. Based on these results, policy and practical suggestions for improving the school adaptation of immigrant adolescents to school life were presented.

• Journal of Industrial Convergence
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• v.22 no.8
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• pp.115-125
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• 2024

The purpose of this study was to verify the mediating effect of self-esteem in the relationship between family conflict, self-esteem, and life satisfaction perceived by multicultural adolescent. The analysis data used the data of the '2nd MAPS (Multicultural Adolescents Panel Study) 2020' surveyed by the Korea Youth Policy Institute. At the time of the survey, 1,533 multicultural adolescents enrolled in the fifth grade of elementary school were selected as samples. The analysis method was verified for the significance of the indirect effect by technical analysis, correlation analysis, and PROCESS MACRO Model Number 4 with mediating effect and bootstrapping. As a result of the study, first, family conflict perceived by multicultural adolescent negatively affected life satisfaction. Second, self-esteem was partially mediated in the relationship between family conflict and life satisfaction. In other words, it is significant in that it presented policy alternatives and practical programs to improve life satisfaction of multicultural youth.