• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.170-171
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• 2021

Experts predict that even after the COVID-19 virus is completely over, it will be difficult to return to the pre-COVID state. As the non-face-to-face trend continued due to the prolonged COVID-19 crisis, sports activities were contracted and the amount of exercise of the people decreased. Demand for non-face-to-face services is increasing as the use of multi-use facilities is gradually restricted due to the higher level of social distancing. This study examines the actual conditions of participation in life sports and considers ways to revitalize sports for life suitable for the post-corona.

• Clinical and Experimental Pediatrics
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• v.52 no.3
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• pp.324-329
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• 2009

Purpose : Acute interstitial pneumonia (AIP) is a rare disease, but its prognosis is fatal because of lack of efficient treatment modality. Recently, it has been reported that there was epidemic AIP in Korea. This study aims to investigate the past and current status of AIP in Korea. Methods : We performed a nationwide survey and a prospective study. From August 6 to 15, 2008, a questionnaire survey was conducted to identify the prevalence, local distribution, and response to current treatments. The questionnaire was answered by pediatrician working in 23 referral centers in Korea. In addition, 5 referral centers in Seoul performed a preliminary prospective observational study by obtaining clinical data and specimens from appropriate patients. The Korea Centers for Disease Control and Prevention analyzed the samples for possible pathogens. Results : The survey showed 78 AIP cases had occurred and 36 patients had died. Lung biopsy was performed only on 20 patients. In 2008, 9 AIP cases developed. In a prospective study, 9 (M:F=5:4) patients developed AIP in spring and 7 (78%) died, with the mean rate of death occurring 46 days after diagnosis. Human corona virus 229E, cytomegalovirus, influenza A virus, influenza B virus, and parainfluenza virus were isolated from the respiratory specimens. Conclusion : This study showed nationwide prevalence of AIP in Korea. In addition, because of the high mortality rate and rapid progress, pediatricians need to be aware of the disease. Further studies and a nationwide network are required for reducing the morbidity and mortality rates related to AIP.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.138-143
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• 2021

As of this moment, we are tracing people who are closed contact with Covid-19 patients and trying to block the spread of Covid-19 through diagnostic tests. However, the incubation period of the confirmed case is two weeks, and it takes a lot of human resources, time, and money to trace the routes of the confirmed case. In particular, as the number of confirmed cases have been increasing, the cost for finding closed contacts and blocking them in advance exponentially have almost reached the limitation of the budget. In finding closed contacts, all citizens must record an electronic access list every time they visit an amenities such as a store or a restaurant. This is likely the invasion of the privacy of personal location information. In this study, we designed a system that keeps one's location in real time, it will download the movement information of the confirmed case which is collected by KDCA, and it will notify the user when there is an overlap. Moreover, then guide for diagnostic test in advance will be used. The proposed method can solve the difficulty of recording in an electronic access list when visiting a store, and it can block infringement of privacy without providing personal information from KDCA.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.43-54
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• 2021

Since COVID-19 (Severe acute respiratory syndrome coronavirus type 2, SARS-Cov-2) was first discovered at the end of 2019, it has spread rapidly around the world. This study introduces an agent-based simulation model representing COVID-19 spread in South Korea to investigate the effect of detect level (contact tracing) on the virus spread. To develop the model, related data are aggregated and probability distributions are inferred based on the data. The entire process of infection, quarantine, recovery, and death is schematically described and the interaction of people is modeled based on the traffic data. A composite logistic functions are utilized to represent the compliance of people to the government move control such as social distancing. To demonstrate to effect of detect level on the virus spread, detect level is changed from 0% to 100%. The results indicate active contact tracing inhibits the virus spread and the inhibitory effect increases geometrically as the detect level increases.

• CELLMED
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• v.10 no.3
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• pp.24.1-24.6
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• 2020

Kushta Jast (KJ) is a unique herbo-mineral preparation of the Unani System of Medicine (USM) which is prepared by taklis (calcination) and prescribed by the practitioners of USM for the treatment of various ailments, including the respiratory ailments. It is used as muqawwi (tonic) to boost the immunity (Muqawwi-i-badan), and can increase the phagocyte activity of the immune cells, thereby, promoting the growth and spread of lymphocytes and increasing circulating antibodies to neutralize a harmful pathogen and reduce humma or body fever (Dafi'-i-humma). Incidentally, the principal mineral component of KJ, zinc, has been widely acknowledged for its beneficial influence on the immune function, and decrease the risk of developing serious respiratory illnesses. In this manuscript, we provide a glimpse of the literature on KJ and postulate its potential beneficial effects in respiratory infections, including COVID-19.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.195-201
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• 2024

With the Covid-19(Corona Virus) spread all around the world, people are using this propaganda and the desperate need of the citizens to know the news about this mysterious virus by spreading fake news. Some Countries arrested people who spread fake news about this, and others made them pay a fine. And since Social Media has become a significant source of news, .there is a profound need to detect these fake news. The main aim of this research is to develop a web-based model using a combination of machine learning algorithms to detect fake news. The proposed model includes an advanced framework to identify tweets with fake news using Context Analysis; We assumed that Natural Language Processing(NLP) wouldn't be enough alone to make context analysis as Tweets are usually short and do not follow even the most straightforward syntactic rules, so we used Tweets Features as several retweets, several likes and tweet-length we also added statistical credibility analysis for Twitter users. The proposed algorithms are tested on four different benchmark datasets. And Finally, to get the best accuracy, we combined two of the best algorithms used SVM ( which is widely accepted as baseline classifier, especially with binary classification problems ) and Naive Base.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.587-591
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• 2005

The case of laboratory-acquired SARS Corona virus infection in Taiwan has revealed a number of weaknesses in management, construction, and oversight of laboratories. Also, with the increased demands for bio-safety laboratory, there is an urgent need to develop a uniform and comprehensive guidance for architects and construction engineers in the preparation of design and construction. This research investigates the key elements for designers, engineers, and potential owners in biosafety laboratory design and construction. It defines key elements and determines major relationships and standards that should be adhered to when developing site layout. In addition to layout planning and design guidance of biosafety laboratory, this research also interviews the perspective of architects and survey the state-of-the-art technology in Taiwan. It represents the portraits by site investigation. The purpose of the research is to provide guideline of design and avoid potential future conflict to ensure the critical continuity of functions.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.145-146
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• 2021

본 논문은 최근 이슈가 되고 있는 코로나19 시대에서 확진자 동선을 파악하기 위해 매장 등 시설에 방문했다는 기록을 남기는 과정 중 방문자가 QR 코드를 생성하고 관리자가 방문자의 QR 코드를 인식하는 방식과 반대로 방문자가 매장의 QR 코드를 직접 인식하게 하여 방문자와 매장 관리자가 겪을 수 있는 불편함을 덜어주기 위한 논문이다. App은 방문자와 매장 관리자 App이 따로 나눠져 있으며 사용자 App은 관리자의 QR을 스캔하여 방문기록을 남기고 관리자 App은 QR 코드를 생성만 하고 출입문에 비치하기만 하면 된다. Web도 관리자와 사용자로 나눠지는데 사용자는 자신의 방문기록과 감염 위험 경로 목록을 확인할 수 있으며 관리자는 매장에 다녀간 방문자의 목록과 확진자가 다녀갈 경우 감염 위험 경로 목록에 해당 사용자 정보가 나타나게 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.334-337
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• 2020

코로나감염-19, 사스, 메르스 등 바이러스성 질병이 전세계적으로 확산되어 많은 인구가 감염되어 왔다. 바이러스성 질병의 확산 예측 및 종결을 위해 실제 감염자 데이터를 기반으로 한 시뮬레이션 연구는 반드시 필요하다. 본 연구는 지역 내 클러스터 감염 시뮬레이션을 위한 바이러스 감염모델을 제안한다. 제안하는 모델은 여러 개의 셀로 구성되어 있으며, 각 셀은 군집을 표현하고 있다. 본 논문에서 제안한 모델은 실제 데이터를 기반으로 하여 정확도가 높으며, 이를 바탕으로 향후 지역의 특성을 반영한 전파 시뮬레이션 혹은 지역 간의 전파를 예상하는 시뮬레이션의 기초로 사용될 수 있다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.12a
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• pp.15-15
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• 2020

In an internal document, CORONA-VIRUS DISEASE 2019 (COVID-19) PLAN, release developed stated that "on January 22, 2020, Palau Ministry of Health activated its emergency operations center, and since then has prepared and put in place measures in response to this global pandemic." The actions eventually led to the closure of most flights coming into Palau as a method to protect its population. The population of is at high risk with COVID19 due to the very elevated rate of NCD's, as well as the limited access to proper testing and treatment facilities. Increased use of traditional medicines in the population has reduced the co-morbidities by reducing risk factors. Furthermore, the expansion of tradtional NCD therapies, especially that of DAK reduce pressure due to obesity and diabetes therefore allowing for unimpaired immune systems to combat deadly infectious diseases such as COVID19.