• 월간산업보건
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• s.386
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• pp.12-28
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• 2020

• 월간산업보건
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• s.385
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• pp.54-55
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• 2020

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.27-48
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• 2021

We extend and modify the canonical epidemiology model of Eichenbaum, Rebelo and Trabandt (2020) to investigate the general equilibrium effects of COVID-19 spread in the Korean economy when vaccine, treatment and social distancing are available. Particularly, we develop a SIR-macro model which considers possibility of moral inattention of the overconfident agents through which people is more likely to be infected. Our model implies that people's decision to cut back on consumption and work reduces the severity of the epidemic and thus exacerbate the size of the economic recession caused by the epidemic. Another finding is that the average 13 weeks to develop the vaccine and treatment will lead to 2% drop of consumption.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.275-278
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• 2022

본 고는 일상생활 속 다양한 정보들을 제공하는 웹 사이트를 데이터베이스와 연계하여 제작하는 프로젝트를 소개한다. 해당 프로젝트는 코로나19 거리두기 완화 조치에 따라 학교에 익숙하지 못한 학생들에게 학교 주변 시설에 대하여 실용적이며 활용성 높은 정보를 제공하기 위한 웹 사이트를 제작한다. 해당 웹 사이트는 웹 사용자의 편의를 위한 콘텐츠 추가, 점진적인 제공 정보 확대가 예정되어 있어 코로나19 일상생활 회복에 도움이 될 것으로 기대된다.

• Annual Conference of KIPS
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• 2020.11a
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• pp.945-948
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• 2020

최근 코로나 사태로 인하여 한국에서는 사람 간에 거리를 두는 사회적 거리 두기와 생활 속 거리두기를 시행하고 있다. 또 식당에서의 지출 중 가장 큰 비율을 차지하고 있다. 인건비를 절감하기 위해 본 연구는 2D Lidar 센서를 사용하여 식당에서의 사람과의 접촉이 가장 큰 서빙의 역할을 로봇이 직접 하는 것을 목표로 하였다. Lidar 센서를 이용해서 SLAM을 구현하였고 안드로이드 앱을 사용하여 주문 결제를, Four Bar Linkage를 사용하여 음식 전달 부분을 구현하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.187-188
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• 2021

최근 COVID19 상황에서 생활 속 거리두기가 강조되면서 관광지나 다중이용시설 등의 이용객 수와 밀집도를 파악하는 것이 중요해지고 있다. 따라서, CCTV 영상을 활용하여 저렴한 비용으로 다중이용시설의 출입자수에 대한 정보를 실시간으로 모니터링할 수 있는 시스템이 필요하다. 이를 위해 본 논문에서는 딥러닝 실시간 객체인식기술을 활용한 출입자의 수와 동선을 측정하여 출입자에 대한 통계정보를 웹브라우저를 통해 제공하는 시스템을 개발하였다. 실시간 객체인식기술인 YOLOv4와 YOLOv4-tiny 알고리즘을 Nvidia사의 Jetson AGX Xavier 와 데스크톱PC에 적용하여 각 알고리즘의 FPS와 객체 인식률을 비교 분석 하여 알고리즘을 적용하였다.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.375-388
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• 2021

This paper aims to help prevent the spread of COVID-19 by analyzing confirmed cases of COVID-19 in Daejeon. A high volume of visitors, downtown areas, and psychological fatigue with prolonged social distancing were considered as risk factors associated with the spread of COVID-19. We considered the weekly confirmed cases in each administrative district as a response variable. Explanatory variables were the number of passengers getting off at a bus station in each administrative district and the elapsed time since the Korean government had imposed distancing in daily life. We employed a mixed-effects zero-inflated Poisson regression model because the number of cases was repeatedly measured with excess zero-count data. We conducted k-means clustering to identify three groups of administrative districts having different characteristics in terms of the number of bars, the population size, and the distance to the closest college. Considering that the number of confirmed cases might vary depending on districts' characteristics, the clustering information was incorporated as a categorical explanatory variable. We found that Covid-19 was more prevalent as population size increased and a district is downtown. As the number of passengers getting off at a downtown district increased, the confirmed cases significantly increased.

• Journal of Industrial Convergence
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• v.18 no.4
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• pp.87-92
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• 2020

Recently, several sporting events have been canceled or postponed due to the influence of COVID-19's imposed social distancing in life, or are being played without spectators. As a result, the market for sports products has been stagnant, and many are experiencing difficulties. To get over it, sports market players are exploring various new markets such as online fan services and online sales. Therefore, this study proposed a way to manage the authenticity of sports-related products. The block structure, system flow, and network model were designed and prototypes were developed accordingly. Experts were invited through the derived method to conduct a target group interview (FGI) to evaluate the reliability and stability of the transaction process, the reliability and stability of payment, the tracking of accidents, and the reliability and stability of the system. Through this study, consumers can have reliability when trading sports-related products such as goods, favorite items, and sign balls.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.565-573
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• 2022

This study aims to analyze the preference factors of the Korean MZ generation with regards to the online programs developed by museums abroad during the COVID-19 pandemic. World renown museums such as the British Museum, the National Gallery of London, Van Gogh Museum, J. Paul Getty Museum, Hasting Contemporary, Uffizi Gallery, and the Guggenheim Museum tackled the social-distancing situation with various creative online programs and events to continue their role as socially relevant institutions. Ten acclaimed programs conducted by these museums were shown to the Korean MZ generation, the most digitally savvy and frequent visitors to museums, to extract their responses to the various types of programs. The study showed that the Korean MZ generation prefer online programs which most closely reflect the onsite experience of a museum, and online contents with educational elements.