The creativity of thesis is that the significance of cyber security challenges in blockchain. The variety of enterprises, including those in the medical market, are the targets of cyberattacks. Hospitals and clinics are only two examples of medical facilities that are easy targets for cybercriminals, along with IoT-based medical devices like pacemakers. Cyberattacks in the medical field not only put patients' lives in danger but also have the potential to expose private and sensitive information. Reviewing and looking at the present and historical flaws and vulnerabilities in the blockchain-based IoT and medical institutions' equipment is crucial as they are sensitive, relevant, and of a medical character. This study aims to investigate recent and current weaknesses in medical equipment, of blockchain-based IoT, and institutions. Medical security systems are becoming increasingly crucial in blockchain-based IoT medical devices and digital adoption more broadly. It is gaining importance as a standalone medical device. Currently the use of software in medical market is growing exponentially and many countries have already set guidelines for quality control. The achievements of the thesis are medical equipment of blockchain-based IoT no longer exist in a vacuum, thanks to technical improvements and the emergence of electronic health records (EHRs). Increased EHR use among providers, as well as the demand for integration and connection technologies to improve clinical workflow, patient care solutions, and overall hospital operations, will fuel significant growth in the blockchain-based IoT market for linked medical devices. The need for blockchain technology and IoT-based medical device to enhance their health IT infrastructure and design and development techniques will only get louder in the future. Blockchain technology will be essential in the future of cybersecurity, because blockchain technology can be significantly improved with the cybersecurity adoption of IoT devices, i.e., via remote monitoring, reducing waiting time for emergency rooms, track assets, etc. This paper sheds the light on the benefits of the blockchain-based IoT market.
What are the implications for us through the discussion on the effect of Germany's dual system of vocational education on the youth unemployment rate? You can find out what kind of evaluation Germany is receiving on the dual system vocational education system implemented based on the 'Vocational Education and Training Act' (Berufsbildungsgesetz), and the specific system establishment form for the industry-academic-government cooperation system. It was possible to present the crises and problems of these systems. Responsibility for the dual system of vocational education in Germany rests with the national and state ministries of education, and private enterprises and chambers of commerce are responsible for business practices. Practical work in a company is conducted through skill-oriented education, and in vocational schools, competency-oriented theoretical education is received. In addition, the necessity and demand for digital vocational and education training in accordance with German Idustrie 4.0 and higher vocational education degree acquisition through dual-degree courses were identified. It can be seen that the youth unemployment rate is the lowest in Europe due to the successful development and utilization of human resources to improve the competitiveness of companies, such as dual vocational education and training (VET) at all levels, higher vocational education at universities, and continuing vocational education programs. Vocational education in Korea will also be able to improve the unemployment rate by establishing a system that allows schools and businesses to conduct vocational education and training simultaneously. In particular, it was possible to judge the necessity of 'close consultation between labor, management, and government', which we consider the most important and should lead to in-depth discussion and cooperation for dual education between vocational schools and companies.
Hyungjoon Chang;Hojin Lee;Kisoon Park;Seonggoo Kim
Journal of the Korean GEO-environmental Society
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v.24
no.12
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pp.31-38
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2023
In this study, runoff characteristics analysis was conducted as a basic research to establish a forecasting and warning system for flood risk areas in small mountainous basins in South Korea. The Danyang 1 Bridge basin located in Danyang-gun, Chungcheongbuk-do was selected as the study basin, and the watershed characteristic factors were calculated using Q-GIS based on the digital elevation model (DEM) of the basin. In addition, nine heavy rainfall events were selected from 2020 to 2023 using hydrometeorological data provided by the National Water Resources Management Comprehensive Information System. HEC-HMS rainfall-runoff model was used to analyze the runoff characteristics of small mountainous basins, and rainfall-runoff model simulation was performed by reflecting 9 heavy rainfall events and calculated basin characteristic factors. Based on the rainfall-runoff model, parameter optimization was performed for six heavy rain events with large error rates among the simulated events, and the appropriate parameter range for the Danyang 1 Bridge basin, a small mountainous basin, was calculated to be 0.8 to 3.4. The results of this study will be utilized as foundational data for establishing flood forecasting and warning systems in small mountainous basin, and further research will be conducted to derive the range of parameters according to basin characteristics.
Journal of Korean Society of Archives and Records Management
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v.23
no.4
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pp.73-89
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2023
This study aims to analyze the frequency of keywords used in Korean abstracts, which are unstructured text data in the domestic record management research field, using text mining techniques to identify domestic record management research trends through distance analysis between keywords. To this end, 1,157 keywords of 77,578 journals were visualized by extracting 1,157 articles from 7 journal types (28 types) searched by major category (complex study) and middle category (literature informatics) from the institutional statistics (registered site, candidate site) of the Korean Citation Index (KCI). Analysis of t-Distributed Stochastic Neighbor Embedding (t-SNE) and Scattertext using Word2vec was performed. As a result of the analysis, first, it was confirmed that keywords such as "record management" (889 times), "analysis" (888 times), "archive" (742 times), "record" (562 times), and "utilization" (449 times) were treated as significant topics by researchers. Second, Word2vec analysis generated vector representations between keywords, and similarity distances were investigated and visualized using t-SNE and Scattertext. In the visualization results, the research area for record management was divided into two groups, with keywords such as "archiving," "national record management," "standardization," "official documents," and "record management systems" occurring frequently in the first group (past). On the other hand, keywords such as "community," "data," "record information service," "online," and "digital archives" in the second group (current) were garnering substantial focus.
This research studied the effect of customer experience characteristics in offline home appliance stores on perceived value and revisit intention. Among the offline distribution of home appliances with more than 100 stores nationwide, two home appliance retailers (HiMart, E-Land), three hypermarkets (E-Mart, Homeplus, Lotte Hi-Mart), and two home appliance stores (LG Best Shop, Samsung Digital Plaza) were selected, and a survey was conducted on men and women in their 20s or older in Seoul, Gyeonggi, and Incheon who had visited and purchased the home appliance store within the last 6 months. As a result of the survey, a statistical analysis was conducted on a total of 330 samples using the PLS (Partial Least Squares) structural equation model and SPSS statistical package. Through this study, the following research results can be obtained. First, educational experience, deviant experience, and aesthetic experience had a positive (+) effect on the functional value. However, entertainment experience did not affect functional value. Second, educational experience, deviant experience, and aesthetic experience all had a positive (+) effect on emotional value. Third, both functional and sensory values had a positive (+) effect on the revisit intention. Fourth, it was confirmed that brand loyalty had no moderating effect between functional value and sensory value revisit intention. The results of this study show the structural relationship between customer experience characteristics, perceived value (functional value, sensory value), and revisit intention. This result provides guidelines on what activities home appliance offline stores should do at a time when online channels threaten the survival of offline channels.
As the role of online reviews has become increasingly crucial, numerous studies have been conducted to utilize helpful reviews. Helpful reviews, perceived by customers, have been verified in various research studies to be influenced by factors such as ratings, review length, review content, and so on. The determination of a review's helpfulness is generally based on the number of 'helpful' votes from consumers, with more 'helpful' votes considered to have a more significant impact on consumers' purchasing decisions. However, recently written reviews that have not been exposed to many customers may have relatively few 'helpful' votes and may lack 'helpful' votes altogether due to a lack of participation. Therefore, rather than relying on the number of 'helpful' votes to assess the helpfulness of reviews, we aim to classify them based on review content. In addition, the text of the review emerges as the most influential factor in review helpfulness. This study employs text mining techniques, including topic modeling and sentiment analysis, to analyze the diverse impacts of content and emotions embedded in the review text. In this study, we propose a review helpfulness prediction model based on review content, utilizing movie reviews from IMDb, a global movie information site. We construct a review helpfulness prediction model by using an explainable Graph Neural Network (GNN), while addressing the interpretability limitations of the machine learning model. The explainable graph neural network is expected to provide more reliable information about helpful or non-helpful reviews as it can identify connections between reviews.
Dae-won Kim;Myeong-ki Lee;Sang-won Park;Young-soo Park
Journal of Navigation and Port Research
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v.47
no.6
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pp.430-436
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2023
Study on Changes in Vessel Traffic Services Due to Introduction of Maritime Autonomous Surface ShipsThe development of technologies related to Maritime Autonomous Surface Ships (MASS) has been actively progressing since the mid-2010s, focusing on themes such as collision avoidance, route planning, digital twin, and communication technologies. On the other hand, research on land-based infrastructure connected with MASS, such as logistics systems, port facilities, and vessel traffic services, has relatively received less attention. This study analyzed impact of emergence of MASS on existing vessel traffic service operations and proposed changes in control operations to prepare for its impact. To do this, current vessel traffic service operations were analyzed and elements of MASS technology that could affect vessel traffic control were identified. A survey was conducted among vessel traffic controllers to identify items related to the control of MASS. Results analyzed using the AHP method showed that preparation for emergency response and communication methods with MASS were the most important. Based on this, we were able to derive detailed plans for basic MASS control procedures and emergency response procedures based on data communication within maritime traffic control areas. MASS control procedures proposed in this study are expected to be used as a solution to resolve issues related to traffic safety of MASS in coastal areas.
This study aims to compare the role of the public sector in the U.S. and Korean medical security systems and study response measures in the social risk situation of the COVID-19 virus. The COVID-19 pandemic was a typical case of a 'disaster' that spread across the world across borders in a short period of time and caused serious social welfare losses by increasing the annual number of deaths by approximately 4% in 2020. Threats to health security, such as changes in social order, unpredictable endings, prolonged control of daily life, and deepening inequality, affected the economy, politics, and environment as a whole, and people had to experience anxiety and confusion due to mental and physical stress. Furthermore, developed countries failed to provide help to low-income countries in the face of global disasters. In this situation, the country's disaster management capacity to minimize harm and secure resilience, especially disaster response capacity in the health and medical field, is inevitably very important. Therefore, this study compares how the health insurance system, which is a system to guarantee citizens' right to life, differs from the United States, a liberal health care country, and raises the need to strengthen the role of the public sector.
Journal of the Korea Society of Computer and Information
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v.29
no.7
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pp.169-179
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2024
Currently, information technologies such as blockchain and metaverse are being innovatively developed in Korea and around the world. The government has defined the innovation of these cyber-related technologies as the fourth industrial revolution and presented the Digital New Deal as an important policy of the Korean version of the New Deal, and is implementing various policies and systems related to it. This situation is expected to affect the development of the real estate registration system in Korea. Moreover, as the Supreme Court is currently promoting the transition to a future registration system, it is necessary to examine whether blockchain technology, which allows parties to exchange value without a third party guaranteeing the transaction, can be used in the real estate registration system. In order to secure the credibility of the real estate registration as electronic information under the registration system that introduces electronic registration and blockchain system, the transparency of transaction identification and real estate registration details should also be recorded using the blockchain system as a way to prevent such crimes and legal disputes. As a solution, it is worth considering how to improve the reliability of transaction identification, recognize the actual examination rights of the registrar in the foundation system of the real estate register, and increase public trust by going through the notarization stage when recording rights such as real rights, and consider how to introduce a blockchain system at this stage to ensure integrity and reliability. In the stage before the current real estate registration and study system is converted to a blockchain system, the clarity, transparency, and consistency of the real estate registration entries with the actual real estate must be established so that the real estate study can finally be recognized as authoritative, thereby ensuring the trust of the transaction parties to the real estate study system that has adopted the blockchain system in the future, and bringing us closer to the goal of real estate transactions in the form of smart contracts between the parties who have trusted it based on transparency and integrity of real estate study in the real estate transaction market.
The Journal of the Convergence on Culture Technology
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v.10
no.2
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pp.1-10
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2024
The purpose of this study is to explore the direction of elderly education in the age of science and technology. The research contents to achieve the research purpose are, first, to examine the current status of elderly education, and second, to suggest the direction of elderly education in the age of science and technology. Due to the current status of education for the elderly, education for the elderly continues to change and develop, and various programs and activities are provided to help the elderly enjoy a richer retirement life. According to the survey report on the elderly, 11.9% of all elderly people participate in learning activities. Senior welfare centers accounted for the largest number of institutions conducting learning activities for elderly education learning activities participants at 35.5%. First, in the direction of elderly education in the age of science and technology, education on the use of digital technology and information is necessary in the composition of elderly education contents. Second, in the case of elderly education methods, customized elderly education methods are needed. Third, in the case of operating elderly education institutions, specialized education centers for elderly education must be further strengthened and supported. The international community is already forming a consensus that the establishment of new social systems and financial investment due to the increase in the elderly population should be considered a new growth engine rather than a social crisis. Although there is a burden on the social security sector due to the increase in the elderly population, there is a shift in the direction of recognizing the potential capabilities and experiences of the elderly and returning them to social resources. Elderly education in the age of science and technology needs to change to a direction that can build a healthy and progressive society in the future.
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