• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.327-328
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• 2022

The recent spread of the corona pandemic and a temporary surge in demand for consumer goods have resulted in an increase in port cargo volume, and the resulting port congestion is coupled with a shortage of labor in the port, exacerbating the global supply chain chaos. Supply chain disruptions will increase logistics costs and ultimately increase global inflationary pressures. In this situation, the role of the port, which is the nodal point between land and sea, is gradually becoming more important. And fully automated ports that are operated unmanned are evaluated as being able to respond stably and flexibly by reducing operational risks in situations such as COVID-19. Therefore, this study compared the operational performance of fully automated and non-fully automated terminals within the same port before and after the corona outbreak, and analyzed the fully automated terminal was stable in actual operation. As a result of the analysis, the fully automated terminal showed stable operating efficiency in all aspects of operational performance compared to the non-fully automated terminal even under severe port congestion due to COVID-19.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.14-22
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• 2021

As the Covid-19 outbreak spreads and prolongs around the world, visitor lists are prepared in various ways when entering the facility to prevent infection and identify confirmed people. In this study, we propose an access management system using beacons to solve the problems with the preparation and management of existing visitor lists. The research method searches the laws related to the collection of personal information and compares the current status of personal information collection and trends in the beacons. The proposed system compares and analyzes existing methods and security and efficiency, which confirm accurate and rapid access registration. By using Beacon access management system, it is effective in preventing and responding to the spread of new infectious diseases in the future.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.27-32
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• 2021

Novel Engineering(NE) is integrated learning model to figure out problems in a book and solve them with creative engineering process. NE has been performed on offline until now. We have to research blended learning projects for COVID-19 outbreak. In this paper, we are going to explore that blended NE is effective to creative problem solving ability. The results showed that blended NE is highly effective to all of four sub-elements; self conviction & independence, diffusion thinking, critical thinking and motivational element. This means that blended novel engineering class is effective to competence-centered class proposed in 2015 revised curriculum. We hope that the research is spread and settled into our school.

• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.191-202
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• 2022

The purpose of this study was to investigate and analyze the perceptions of passengers on various topics related to passenger ship operation, by targeting the passengers (passenger ship consumers) at coastal passenger terminals in three regions, Incheon, Mokpo, and Tongyeong, where many coastal passenger ships operate in Korea. The survey period was October 1-October 11, 2019, just before the outbreak of COVID-19, and the number of samples was 277. The analysis was divided into two elements. Results of the analysis show that, for items islanders as well as the general public did not respond to more than 50% positively, a more in-depth review of policies and fare policies for transportation-disabled facilities through comprehensive fare evaluation such as the excellence of transportation-disabled facilities, the appropriateness of fares, and the appropriateness of fare guidance are necessary. It is expected that this study will contribute to the preparation for re-opening after COVID-19, as well as contribute to public transportation policy.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.29-45
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• 2022

This study aims to analyze how the public perceive the climate change in South Korea. The climate change has been highlighted due to its social and environmental impact on future society during decades. In recent, the outbreak of COVID-19 alerted the causal relationship between diseases and the climate change and forced decision-makers to cope with possible future epidemics. Along with the social and political importance of the climate change, the perception and actions of the public also become significant. Thus, this study analyzes the trends in the public perception of climate change before and after the COVID-19, using social media big data from March 1, 2019 through February 28, 2022. The results show that the negative perception dominated the public's perception, but a little positive perception implies that numerous policies on the climate change may help the public convert their negative perception to the positive. This study may help the decision-makers develop future policies and strategies on the climate change and carbon neutrality by considering the demand-side perception, such as South Korean perception.

• Journal of Korean Academy of Rural Health Nursing
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• v.17 no.1
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• pp.9-22
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• 2022

Purpose: This study was conducted to suggest the direction of follow-up research by comparing and analyzing studies related to emerging infectious diseases (EID) in the field of nursing published in Korea since 2000 and before the outbreak of COVID-19 to identify overall themes and trends. Methods: The data search period was limited to papers from 2000 to 2019, and a literature review was conducted through a domestic DB search. 1574 papers extracted through search terms were excluded according to the criteria, and the final 39 papers were selected and analyzed. Results: Nursing studies related to EID consisted of 35 quantitative studies and most of them were descriptive research studies. As for specific disease types, MERS accounted for the largest number with 22, followed by 11 influenza A, 4 EID and 2 SARS. Nurses were the most common subjects with 19 cases (48.7%), and the number of study subjects was 200 or more, 23 cases (59.0%). The outcome variables of the analysis target literature were infection prevention behavior performance, knowledge, attitude, stress, anxiety, nursing intention, and infection control. Conclusion: This study is meaningful in suggesting the direction of follow-up research by identifying the trends in EID research.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.383-384
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• 2022

Following the development of technologies such as digital twin, IoT, and AI after the 4th industrial revolution, decision-making problems are being solved based on high-dimensional data analysis. This has recently been applied to the port logistics sector, and a number of studies on big data analysis, deep learning predictions, and simulations have been conducted on container terminals to improve port productivity. These high-dimensional data analysis techniques generally require a large number of data. However, the global port environment has changed due to the COVID-19 pandemic in 2020. It is not appropriate to apply data before the COVID-19 outbreak to the current port environment, and the data after the outbreak was not sufficiently collected to apply it to data analysis such as deep learning. Therefore, this study intends to present a port data augmentation method for data analysis as one of these problem-solving methods. To this end, we generate the container stowage situation of the yard through a generative adversarial neural network model in terms of container terminal operation, and verify similarity through statistical distribution verification between real and augmented data.

• International Journal of Oral Biology
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• v.46 no.1
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• pp.1-6
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• 2021

Since the outbreak of coronavirus disease 2019 (COVID-2019), the infection has spread worldwide due to the highly contagious nature of severe acute syndrome coronavirus (SARS-CoV-2). To manage SARS-CoV-2, the development of diagnostic assays that can quickly and accurately identify the disease in patients is necessary. Currently, nucleic acid-based testing and serology-based testing are two widely used approaches. Of these, nucleic acid-based testing with quantitative reverse transcription-PCR (RT-qPCR) using nasopharyngeal (NP) and/or oropharyngeal (OP) swabs is considered to be the gold standard. Recently, the use of saliva samples has been considered as an alternative method of sample collection. Compared to the NP and OP swab methods, saliva specimens have several advantages. Saliva specimens are easier to collect. Self-collection of saliva specimens can reduce the risk of infection to healthcare providers and reduce sample collection time and cost. Until recently, the sensitivity and accuracy of the data obtained using saliva specimens for SARS-CoV-2 detection was controversial. However, recent clinical research has found that sensitive and reliable data can be obtained from saliva specimens using RT-qPCR, with approximately 81% to 95% correspondence with the data obtained from NP and OP swabs. These data suggest that self-collected saliva is an alternative option for the diagnosis of COVID-19.

• Korean Journal of Occupational Health Nursing
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• v.29 no.3
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• pp.202-207
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• 2020

Purpose: COVID-19 infections have been erupting in places of worship, long-term care facilities, and call centers in Korea since January 2020. This study aims to diagnose and present an infection control system solution for long-term care facilities where at-risk elderly individuals are actively engaged in communal life. Methods: We conducted comparative analyses of infection control systems between long-term care facilities and medical institutions respective of relevant laws and this study's evaluation system. Results: To prepare for future infectious diseases, it is necessary to establish a long-term care facility infection control system and strengthen the standards thereof, to strengthen long-term care facility evaluation standards and to newly establish medical charges for infection control. Conclusion: Systematic procedure fortification and financial support provisions are necessary for infection control at long-term care facilities.

• Journal of Korea Trade
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• v.25 no.8
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• pp.57-74
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• 2021

Purpose - This study aims to analyze the characteristics of network construction by Norwegian Air and AirAsia X, which are recognized as leading airlines in the long-haul LCC market. Based on this analysis, this study intends to provide implications for networking strategies for Korean LCCs that seek to enter the long-haul market when the aviation market stabilizes again upon the end of the COVID-19 pandemic. Design/methodology - To conduct the network analysis on long-haul low-cost airlines, the Official Airline Guide (OAG) Schedule Analyzer was used to extract long-haul data of Norwegian Air and AirAsia X. To analyze the trend of the long-haul route network, we obtained the data from 3 separate years between 2011 and 2019. The network was analyzed using UCINET 6.0 in order to examine the network structure of long-haul low-cost airlines and the growth trend of each stage. Findings - Analyzing the network of long-haul routes by visualizing the network structure of low-cost carriers showed the following results. In its early years, Norwegian Air's long-haul route network, centering on regional airports in Spain and Sweden, connected European regions, the Middle East, and Africa. As time passed, however, the network expanded and became steadily strong as the airline connected airports in other European countries to North America and Asia. In addition, in 2011, AirAsia X showed links to parts of Europe, such as London and Paris, the Middle East and India, and Australia and Northeast Asia, centering on the Kuala Lumpur Airport. Although the routes in Europe were suspended, the network continued to expand while concentrating on routes of less than approximately 7,000 km. It was found that instead of giving up on ultra-long-haul routes such as Europe, the network was further expanded in Northeast Asia, such as the routes in Korea and Japan centering on China. Originality/value - Until the COVID-19 pandemic broke out, Norwegian Air actively expanded long-haul routes, resulting in the number of long-haul routes quintupling since 2011. The unfortunate circumstance, wherein the world aviation market was rendered stagnant due to the outbreak of COVID-19, hit Norwegian Air harder than any other low-cost carriers. However, in the case of AirAsia X, it was found that it did not suffer as much damage as Norwegian Air because it initially withdrew from unprofitable routes over 7,000 km and grew by gradually increasing profitable destinations over shorter distances. When the COVID-19 pandemic ends and the aviation market stabilizes, low-cost carriers around the world, including Korea, that enter the long-haul route market will need to employ strategies to analyze the marketability of potential routes and to launch the routes that yield the highest profits without being bound by distance. For stable growth, it is necessary to take a conservative stance; first, by reviewing the business feasibility of the operating a small number of highly profitable routes, and second, by gradually expanding these routes.