• Title/Summary/Keyword: 거리두기

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A Comparison of the Perception of and Adherence to the COVID-19 Social Distancing Behavior Guidelines among Health Care Workers, Patients, and General Public (의료종사자, 환자, 일반인의 코로나19 사회적 거리두기 행동 지침에 대한 인식과 수행 비교)

  • Heo, Yeon Jeong;Nam, So Hee;Jeong, Jae Sim;Kim, Yeon Hee
    • Journal of Korean Biological Nursing Science
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    • v.23 no.1
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    • pp.55-63
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    • 2021
  • Purpose: To identify the differences in perception of and adherence to the COVID-19 social distancing behavior guidelines among health care workers, patients, and the general public and to use them to prevent the spread of COVID-19. Methods: From October 16 2020 to November 30, 2020, a survey was conducted among 85 health care workers, 85 patients, and 82 general public regarding the perception of and adherence to the COVID-19 social distancing behavior guidelines. Results: Patients scored significantly higher than the general public in the adherence to the COVID-19 social distancing behavior guideline, and there was no difference between health care workers and general public, and patients and health care workers. In the multivariate analysis, the factors that influence the adherence of the COVID-19 social distancing behavior guide were found in women and the perception of the COVID-19 social distancing behavior guideline. Conclusion: In order to promote the implementation of the COVID-19 social distancing behavior guideline, it is necessary to increase the perception of the COVID-19 social distancing behavior guideline and provide additional education in men. It is necessary to investigate the reason behind why men have low adherence to the COVID-19 social distancing behavior guideline.

Exploration of deep learning facial motions recognition technology in college students' mental health (딥러닝의 얼굴 정서 식별 기술 활용-대학생의 심리 건강을 중심으로)

  • Li, Bo;Cho, Kyung-Duk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.3
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    • pp.333-340
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    • 2022
  • The COVID-19 has made everyone anxious and people need to keep their distance. It is necessary to conduct collective assessment and screening of college students' mental health in the opening season of every year. This study uses and trains a multi-layer perceptron neural network model for deep learning to identify facial emotions. After the training, real pictures and videos were input for face detection. After detecting the positions of faces in the samples, emotions were classified, and the predicted emotional results of the samples were sent back and displayed on the pictures. The results show that the accuracy is 93.2% in the test set and 95.57% in practice. The recognition rate of Anger is 95%, Disgust is 97%, Happiness is 96%, Fear is 96%, Sadness is 97%, Surprise is 95%, Neutral is 93%, such efficient emotion recognition can provide objective data support for capturing negative. Deep learning emotion recognition system can cooperate with traditional psychological activities to provide more dimensions of psychological indicators for health.

Effects of Fear of Coronavirus Disease 2019 and Social Distancing on Women's Suicidal Ideation: Mediating Effect of Depression (코로나바이러스감염증-19로 인한 두려움, 사회적 거리두기가 여성의 자살 생각에 미치는 영향: 우울의 매개효과)

  • Kim, Hyo Yeon;Park, Hanjong
    • Journal of Korean Academy of Nursing
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    • v.52 no.4
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    • pp.464-475
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    • 2022
  • Purpose: This study aimed to identify the mediating effects of depression amid the influence of fear and social distancing arising from Coronavirus disease 2019 (COVID-19) in Korean women's suicidal ideation. Methods: A descriptive correlation study was conducted. Study participants, recruited by Hankook Research from March 2 to March 5, 2021, included 300 women aged 19 to 49 living in South Korea, and 100 people were randomly allocated and enlisted for each age group out of 700,000 Hankook Research Panels recruited in advance from 17 cities and provinces nationwide. Data were collected through a self-reported questionnaire and analyzed using Pearson's correlation coefficient and Hayes' Process Macro Model 4 with 95% bias-corrected bootstrap confidence interval via SPSS statistics 27.0. Results: Suicidal ideation was significantly correlated with fear of COVID-19 (r = .16, p = .006) and depression (r = .65, p < .001). The mediation effect of depression in the relationship between the fear of COVID-19 and suicidal ideation was found to be significant (B = 0.40, boot 95% CI: 0.21~0.61). However, social distancing did not significantly affect suicidal ideation via depression (B = - 0.79, boot 95% CI: - 1.94~0.26). Conclusion: It is necessary to develop and apply interventions to prevent depression and suicidal behaviors by continuously observing and reducing the negative psychological responses caused by COVID-19.

Seoul Local Brand Alley Commercial Area Recommendation System Design Using Machine Learning (머신러닝 기반 서울시 로컬브랜드 골목상권 추천시스템 설계)

  • Jiyeon, Kim;Hyoseon, Jang;Minseo, Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.101-109
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    • 2023
  • According to data released by the Covid 19 Self-Employed Emergency Response Committee, 95.6% of small business sales due to Covid 19 have decreased over the past two years, and the damage has further increased due to social distancing for quarantine. However, as all social distancing guidelines have rebeen lifted, and the commercial district has been revitalized, the Seoul Metropolitan Government is pushing for a project to foster local brand commercial districts so that small business owners or prospective founders who have closed their businesses due to the prolonged COVID-19. Therefore, this study propose the model that recommends alley commercial districts suitable for founders among the five alley commercial districts selected for the project to foster local brand commercial districts in Seoul. The Seoul Metropolitan Government's local brand alley commercial recommendation system recommends major population age groups and major industries in the commercial district by combining the population perspective model using Xgboost and the commercial district characteristic model using Decision Tree.

The Causes of the boom in the container shipping industry triggered COVID-19: Focuses on Demand and Supply Side (COVID-19 발 컨테이너 해운경기 호황의 원인 분석: 수요와 공급 측면에서)

  • Lee, Tae-Hwee;Kim, Soo-Kyung
    • Journal of Korea Port Economic Association
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    • v.39 no.2
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    • pp.195-204
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    • 2023
  • In this study, the causes of the boom in the container shipping industry pointed out by the media were analyzed. As a result of the analysis, it was found that on the supply side, shipping companies mooring ships in response to IMO environmental regulations caused a rise in freight rates due to 'ships that could not be operated' even if demand increased. In terms of demand, it was determined that the claim that social distancing promoted purchases and increased demand was somewhat unfounded. The reason is that the relationship between social distancing and rising fares is weak.

Automobile Serving Robot for Untact System (비대면 시스템 구현을 위한 자율주행 서빙 로봇)

  • Hong, Jeoun-Hun;Song, Chang-Ui;Kim, Dae-Gwan;Lee, Geun-Ho
    • Proceedings of the Korea Information Processing Society Conference
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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.

A Study on 'the Depth of the Film Image' and its aesthetic implications in the Wes Anderson's films: Focusing on the film and (웨스 앤더슨 감독의 영화에서 '화면 깊이감'의 활용과 미학적 함의 - <그랜드 부다페스트 호텔>과 <문라이즈 킹덤>을 중심으로)

  • Choi, Hyun-Ju
    • Cartoon and Animation Studies
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    • s.43
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    • pp.343-362
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    • 2016
  • The purpose of this study is to analyze the 'depth of the film image' and to discuss its aesthetic implications in the Wes Anderson's films. In this study, I have analysed his two recent representative films, (2014) and (2012). As a result, it is found that Wes Anderson created a symmetrical composition with the depth by placing symmetrically things on the Z axis or using one-point perspective. In general, symmetrical composition is a two-dimensional form. The symmetrical composition in these two films, however, has the depth perception. It gives a sense of the fantastic world, not the real world. Thus, it is the unique way of Wes Anderson's expressing the world of the fairy tale on his films. It is also found that he used the camera work, emphasizing the depth of the image. Through these devices, Wes Anderson has created his own sensational mise-en-scene for a storyline like a fairy tale.

인터뷰 - 민경웅 제이케이머티리얼즈(주) 대표이사

  • Jo, Na-Ri
    • The monthly packaging world
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    • s.350
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    • pp.78-81
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    • 2022
  • 코로나19 팬데믹 직전, 쓰레기 대란으로 포장, 일회용품 등 플라스틱에 대한 규제가 강화되는 추세였는데 팬데믹으로 세상이 멈추며 규제도 멈췄다. 반면 그 사용량은 늘어났다. 사회적 거리두기로 인해 가정에서의 식사가 늘어나며 식품포장, 일회용품에 대한 소비가 폭발적으로 늘어난 것이다. 코로나 엔데믹 시대로 접어들고 있는 지금, 환경 규제가 이전보다 강화될 것이라는 이야기가 나오고 있다. 실제로 유럽에서는 플라스틱 세금을 징수하고 있고 글로벌 대기업들은 재활용 소재의 사용율을 높이고 있다. 이 새로운 시대에 플라스틱 기업, 포장기업들은 어떻게 해야 살아남을 수 있을 것인가? 가장 현실적이고 효과적인 대안을 찾은 기업이 있다. PE를 이축 연신해 복합소재 수준의 물성을 구현, 재활용이 용이한 단일소재로 포장재를 만들어 탄소 중립을 실천하겠다는 민경웅 제이케이머티리얼즈(주) 대표이사를 만나 단일소재 연포장재가 무엇이고 왜 필요한지, 진정한 친환경 포장이란 무엇인지, 그리고 코로나 엔데믹 이후 포장업계가 나아갈 방향에 관해 이야기해보았다.

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Free-mixing AI Dispenser (셀프 조향 AI 디퓨저)

  • Kim, Yeong-Seo;Kim, Gyu-Hyun;Cheong, Ye-Rim;Go, Na-Yeong;Lee, Kyung-Yong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.300-303
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    • 2020
  • 코로나 19사태로 인한 '사회적 거리두기' 운동이 지속되면서 사람들의 생활 형태가 변화된 양상을 띈다. 특히 모임 활동 및 단체 활동의 제한으로 개인 시간이 이전에 비해 증대되었다. 홀로 자택에 머무르는 시간의 증가로 인해 사회적 단절감과 고립감이 심화되며 "코로나 블루"로 일컫어지는 신종 정신 질환이 많은 사람들에게 생겨나 사회적 문제로 이슈화 되고 있다. 본 논문에서는 이러한 사회적 문제를 완화시키기 위해 고안된 새로운 디퓨저 개발과정 및 기존 디퓨저에서 볼 수 없었던 IoT기술과 조향기술과의 접목을 통한 차별성에 대해 서술하였다.

A Study on the Vitalization Plan of Local Tourism and Corona Blue Alleviation by Using the Electronic Access Register (KI-Pass) System (전자출입명부(KI-Pass) 시스템을 활용한 코로나 블루 해소 및 지방관광 활성화 방안에 대한 연구)

  • Jeong, Ki-hyeok;Han, Wool
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.75-77
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    • 2020
  • 코로나19로 사회적 거리두기가 지속되면서 코로나 블루를 적절히 해소하는 방안 또한 새로운 사회적 무제로 대두되었다. 이에 본 연구는 전자출입명부 시스템을 활용하여 안전하게 지역을 관광할 수 있는 방안을 제시하였다. 구체적으로 QR코드에 기록된 정보를 바탕으로 지역별로 방문한 관광객의 숫자를 공유하여 지역별 방문인구를 파악할 수 있도록 하였다. 이를 통해 관광객은 밀집된 공간을 피하며 방역지침을 준수하면서도, 다양한 지역을 방문하며 코로나 블루를 해소할 수 있을 것이다.