• Pediatric Infection and Vaccine
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• v.29 no.2
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• pp.70-76
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• 2022

Coronavirus disease 2019 (COVID-19) in patients with underlying diseases, is associated with high infection and mortality rates, which may result in acute respiratory distress syndrome and death. Mucopolysaccharidosis (MPS) type II is a progressive metabolic disorder that stems from cellular accumulation of the glycosaminoglycans, heparan, and dermatan sulfate. Upper and lower airway obstruction and restrictive pulmonary diseases are common complaints of patients with MPS, and respiratory infections of bacterial or viral origin could result in fatal outcomes. We report a case of COVID-19 in a 16-year-old adolescent with MPS type II, who had been treated with idursulfase since 5 years of age. Prior to infection, the patient's clinical history included developmental delays, abdominal distension, snoring, and facial dysmorphism. His primary complaints at the time of admission included rhinorrhea, cough, and sputum without fever or increased oxygen demand. His heart rate, respiratory rate, and oxygen saturation were within the normal biological reference intervals, and chest radiography revealed no signs of pneumonia. Consequently, supportive therapy and quarantine were recommended. The patient experienced an uneventful course of COVID-19 despite underlying MPS type II, which may be the result of an unfavorable host cell environment and changes in expression patterns of proteins involved in interactions with viral proteins. Moreover, elevated serum heparan sulfate in patients with MPS may compete with cell surface heparan sulfate, which is essential for successful interaction between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein and the host cell surface, thereby protecting against intracellular penetration by SARS-CoV-2.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.349-358
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• 2022

This study was aim to understand the relationship between uncertainty, social isolation, social support and resilience of coronavirus infectious diseases-19 (COVID-19) patients and to identify factors related to resilience. Data were carried out from March 7 to May 5, 2021, and a total of 200 questionnaires were used for data analysis. Data were analyzed with descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and multiple regression using SPSS WIN 24.0 program. As a result of the analysis, the lower the sense of social isolation, the higher the social support, the satisfaction with the explanation of isolation and the economic status of 'medium' were identified as related factors for resilience. Based on the above results, a systematic program should be developed and applied to improve the resilience of COVID-19 patients including strengthening social support through families and health care providers, reducing social isolation through non-face-to-face counseling, providing sufficient information about diseases, and providing economic support.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.125-132
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• 2022

The Ministry of Environment recently analyzed the output data of 10 fine dust measuring stations and, as a result, announced that about 60% had an error that the existing atmospheric measurement concentration was higher. In order to accurately predict fine dust, the wind direction and measurement position must be corrected. In this paper, in order to solve these problems, fuzzy rules are used to solve these problems. In addition, in order to calculate the fine particulate sensation index actually felt by pedestrians on the street, a computer simulation experiment was conducted to calculate the fine particulate sensation index in consideration of weather conditions, temperature conditions, humidity conditions, and wind conditions.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.53-59
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• 2021

The purpose of this study is to identify anxiety and depression level for corona virus 19 among hospital nurses to the spread of COVID-19. Data were collected from 232 nurses in 5 hospitals from August to September in 2020 using questionnaire. Characteristics relative to variables were measured, and analyzed using SPSS 26.0 program for descriptive statistics, t-test, ANOVA, and pearson's correlation. The depression level differed according to gender. The anxiety about COVID-19 infection showed a significantly positive correlation to depression (r=.26, p<.001). Based on these results, several roles and coping strategies were suggested to help nurses recover and maintain their psychological stability and mental health.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.131-138
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• 2022

This study is a descriptive study to investigate factors affecting the level of performance of COVID-19 infection prevention activities among nurses. The participants were 190 nurses at a tertiary hospital located in Daejeon city and data collection was performed during March, 2021. The results showed that the factors affecting the level of performance of infection prevention activities were age(β=.25, p=.008), working unit(β=.15, p=.046), and hospital safety climate(β=.17, p=.025). Therefore, in order to improve the level of performance of infection prevention activities among hospital nurses, education and policy to establish a hospital safety climate should be implemented.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1245-1248
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• 2021

최근 세계적으로 코로나바이러스가 유행 중인 가운데, 우리나라는 인구 밀집도가 높은 곳이 많아 연쇄 감염이 일어나기 쉽고 특히 식당이나 카페 같은 장소는 불가피한 음식 섭취, 환기되지 않는 실내 공간 등의 이유로 바이러스에 취약하다. 사람들은 코로나 감염 가능성이 큰 사람이 밀집된 장소를 피하고, 비교적 사람이 적은 곳을 선호한다. 하지만 방문하고자 하는 매장에 사람이 얼마나 있는지 확인하는 과정은 번거롭다. 또한, 인기 있는 매장의 경우 코로나바이러스와 무관하게 이용객이 많아 방문 시에 대기해야 하는 불편함이 있다. 이러한 불편함을 해결하기 위해 본 논문에서는 안드로이드 기반 스마트폰 앱을 이용하여 방문하고자 하는 매장에 인원수를 실시간으로 확인할 수 있는 실시간 객체 인식 알고리즘, 앱의 구현 내용을 소개하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.479-480
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• 2020

2020년 초 코로나바이러스감염증-19(COVID-19)로 인해 전 세계적으로 사회적 거리두기 가 권고 되면서, 많은 사람들이 집에서 소비 할 수 있는 콘텐츠로 IT 네트워크 서비스를 기반한 장르의 소비가 증가했고, 게임산업에서도 신규 이용자의 유입이 증가하고 있다. 이에 따라 본 논문에서는 코로나바이러스감염증-19(이하 COVID-19)로 혼란스러운 상황에서 게임이 어떤 역할을 할 수 있을지를 고찰해본다.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.522-526
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• 2007

Since newly emerged disease, the Severe Acute Respiratory Syndrome (SARS), spread from Asia to North America and Europe rapidly in 2003, many researchers have tried to determine where the virus came from. In the phylogenetic point of view, SARS virus has been known to be one of the genus Coronavirus, but, the overall conservation of SARS virus sequence was not highly similar to that of known coronaviruses. The natural reservoirs of SARS-CoV are not clearly determined, yet. In the present study, the genomic sequences of SARS-CoV were analyzed by bioinformatics techniques such as multiple sequence alignment and phylogenetic analysis methods as well multivariate statistical analysis. All the calculating processes, including calculations of the relative synonymous codon usage (RSCU) and other genomic parameters using 30,305 coding sequences from the two genera, Coronavirus, and Lentivirus, and one family, Orthomyxoviridae, were performed on SMP cluster in KISTI, Supercomputing Center. As a result, SARS_CoV showed very similar RSCU patterns with feline coronavirus on the both axes of the correspondence analysis, and this result showed more agreeable results with serological results for SARS_CoV than that of phylogenetic result itself. In addition, SARS_CoV, human immunodeficiency virus, and influenza A virus commonly showed the very low RSCU differences among each synonymous codon group, and this low RSCU bias might provide some advantages for them to be transmitted from other species into human beings more successfully. Large-scale genomic analysis using bioinformatics techniques may be useful in genetic epidemiology field effectively.

• Journal of Korean Society of Disaster and Security
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• v.14 no.1
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• pp.23-40
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• 2021

In the era of the global coronal 19 pandemic, there is a risk of cross-infection in hospitals at the stage where treatments and vaccines are currently being developed and marketed, so individuals should enhance their acquired immunity and generalize their living systems by the performance of copper ions in the social environment. In order to prevent the spread of infection, the need for anti-bacterial film and its efficacy were analyzed through anti-viral performance tests based on research and development cases of worldwide and immemorial time. he Korea Construction Research Institute (KCL) has received anti-bacterial performance certification and anti-viral test scores from the "National Approval Performance Certification Agency." At the time, NCCP 43326 Human Corona virus (BetaCoV/Korea/KCDC03/2020), which was approved by the Centers for Disease Control and Prevention, was introduced to ensure that the activity rate of infected cells was satisfied in the anti-viral performance test. Anti-proliferation measures for the Corona 19 virus require a quality clinical trial study comparing the experimental group within the glass space where the antiviral copper film is constructed with the comparator of the same condition without copper film.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.177-180
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• 2021

코로나바이러스로 인하여 전 세계는 어려움을 겪고 있으며, 바이러스를 확산을 막기 위해서 실외에서는 마스크를 쓰는 것이 일상이 되었다. 하지만, 이를 따르지 않는 사람이 일반 시설에 방문할 때 이를 감지하고 경고를 할 수 있는 시스템이 없어, 마스크 미 착용자로 인한 위험성 방지에 취약점을 가지고 있다. 본 연구에서는 OpenCV 라이브러리를 이용한 마스크 착용 여부를 확인하는 시스템을 설계한다. Haar 특징기반 다단계 분류자를 이용하여 마스크 인식 프로세스를 설계하였으며, 마스크 착용 확인 시스템은 경량 컴퓨터인 라즈베리파이 장치 위에 구현하였다. 또한 확인된 사람의 이미지는 클라우드 시스템에 저장할 수 있도록 구현하였다. 본 연구를 통해, 누구나 손쉽게 해당 마스크 착용 확인 시스템을 중소 매장에 설치하여 사용할 수 있으며, 코로나바이러스 확산 방지에 기여할 수 있다고 예상한다.