• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.195-201
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• 2020

COVID-19 is hitting the world. In order to bring about new ways of innovation in the space sector, we need to analyze changes in the space sector and design new challenge strategies. COVID-19 exposes inherent vulnerabilities in the space sector. In particular, COVID-19 is causing supply chain shocks in the space industry, resulting in delays in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. As the overall impact of New Normal on the industry is overall, we continue to look at it in the space sector. COVID is causing supply chain shock in the space industry. It causes a delay in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. In the supply of launch services, the launch schedule is being delayed, but the main launch is still taking place. Demand for major applications such as environmental monitoring is soaring in the earth observation utilization sector. Analyzing the impact on manufacturing, the vendor-based contraction is bringing delays in the supply of systems, subsystems and components, and launch service providers are trying to minimize delays in the launch schedule.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.1-10
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• 2021

The purpose of this study was to a descriptive investigative study to identify the relationship between social support, resilience, and college life adaptation of freshmen at K University. The participants comprised 120 freshmen from K University in K-Do, and the data were collected using online self-questionnaires. Data collection was from April 1, 2021, to May 10, 2021. The general characteristics of the subject were analyzed by descriptive statistics. The data were analyzed by descriptive statistics, an independent t-test, a one-way ANOVA, and the Pearson's correlation coefficient through the SPSS 25.0 Program. The average social support was 5.35±0.99 out of a total of 7 points, the average resilience was 3.35±0.34 out of a total of 5 points, and the average college life adaptation was 4.93±0.63 out of a total of 7 points. College life adaption and resilience(r=.380, p<.000), social support and resilience(r=.372, p<.000) was shown to be a significant statistic correlation. In conclusion, through this research, we propose to develop programs that can increase social support related to college life adaptation of college freshmen even in crisis situations such as COVID-19.

• KOREAN POULTRY JOURNAL
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• v.53 no.5
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• pp.130-133
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• 2021

코로나 19가 장기화되어 재택근무 등에 따라 집에 있는 시간이 늘어나 계란 구입이 많아지면서 차별화된 계란 판매에 대한 관심이 높아지고 있다. 이에 본지는 직접 브랜드를 만들어 유통하며 신선한 계란을 제공하고 있는 경기도 양주시의 에그콜농장 홍명의 대표를 찾았다.

• Journal of The Korea Institute of Healthcare Architecture
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• v.26 no.4
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• pp.61-66
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• 2020

• Korean Architects
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• s.620
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• pp.11-11
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• 2020

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2023.04a
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• pp.130-131
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• 2023

• Journal of radiological science and technology
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• v.43 no.5
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• pp.397-404
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• 2020

Coronavirus disease(COVID-19) is highly infectious disease that directly affects the lungs. To observe the clinical findings from these lungs, the Chest Radiography(CXR) can be used in a fast manner. However, the diagnostic performance via CXR needs to be improved, since the identifying these findings are highly time-consuming and prone to human error. Therefore, Artificial Intelligence(AI) based tool may be useful to aid the diagnosis of COVID-19 via CXR. In this study, we explored various Deep learning(DL) approach to classify COVID-19, other viral pneumonia and normal. For the original dataset and lung-segmented dataset, the pre-trained AlexNet, SqueezeNet, ResNet18, DenseNet201 were transfer-trained and validated for 3 class - COVID-19, viral pneumonia, normal. In the results, AlexNet showed the highest mean accuracy of 99.15±2.69% and fastest training time of 1.61±0.56 min among 4 pre-trained neural networks. In this study, we demonstrated the performance of 4 pre-trained neural networks in COVID-19 diagnosis with CXR images. Further, we plotted the class activation map(CAM) of each network and demonstrated that the lung-segmentation pre-processing improve the performance of COVID-19 classifier with CXR images by excluding background features.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.213-220
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• 2021

As the coronavirus disease(COVID-19) pandemic is declared and the number of confirmed cases and deaths increases in countries around the world, the world is gripped with fear. Therefore, in this study, psychological factors of infection prevention behaviors of firefighters and maritime police officers were analyzed based on the Health Belief Model. Although there was no significant difference in the COVID-19 prevention behaviors between the two groups, there was a significant positive correlation between the perceived disease infection possibility, perceived severity, and perceived benefits in the general characteristics and the COVID-19 prevention behaviors. There was no significant difference with perceived obstacles. This study is of great significance in that it is the first analysis of firefighters and maritime police officers as a health belief model, and can be used as basic data for the implementation of new infectious disease prevention actions.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.581-590
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• 2022

The purpose of this study was to ascertain the differences in social distancing practices by socioeconomic characteristics according to the national campaign on strong social distancing from March 22 through April 19. The data were obtained from the online survey performed by Embrain from May 13 through May 19. The sample consisted of 1,117 adults aged between 19 and 69. The campaign included six rules: to postpone or cancel unnecessary meeting, to refrain from going out, to keep personal hygiene, to stay home when sick, to ventilate frequently. Social distancing scores were defined as the proportion of items observed on a scale of 10. The multivariate regression analysis showed that type of housing and type of working were significantly related to social distancing scores. Study results imply that customized campaigns are needed for those from lower socioeconomic status.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.531-539
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• 2022

The government enforced policies such as social distancing and limiting business hours to prevent the spread of COVID-19. However, the impact of the long-term COVID-19 pandemic is causing more serious difficulties for small business owners. The government intended to relieve the business management pressure for small business owners by drawing up the COVID-19 emergency disaster relief funds. The funds provided temporary support for the small business owners, but the prolonged pandemic worsened the business management difficulties. Therefore, this study will apply fixes that fail and shifting the burden archetypes from the system archetype of system thinking for the exploratory deduction of policy measures as the policy leverage to effectively enhance the recovery of small business owners. In response to the situation, emergency financial aid for small business owners and support that can enhance the self-sustaining powers are required to heighten the recovery of small business owners.