• Title/Summary/Keyword: Corona19

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A Comparative Study on the Characteristics of Crimes in Quarterly according to the Corona 19 Pandemic Period (코로나19 감염병 유행 시기에 따른 분기별 범죄특성 비교분석)

  • Oh, Seiyouen;Kim, Hakbum
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.674-683
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    • 2021
  • Purpose: The purpose of this study is to examine the changes in the pattern of crimes caused by the spread and slowdown of coronavirus infections and to devise preventive and countermeasures against various crimes in the future. Method: In order to find out the characteristics of each crime in the non-face-to-face and face-to-face environment, the results of previous prior research and data officially released by the National Police Agency and the prosecution office were compared and analyzed. Result: In the early epidemic of infectious diseases, overall crime has decreased, and civil life-related crimes and crimes targeting the socially disadvantaged are increasing. In the second half of the infectious disease, unlike the first half, the prolonged corona caused the economic recession and unemployment, deepening the damage from illegal private finance and significantly increasing illegal gambling game crimes. Conclusion: According to the time of the outbreak of the COVID-19 pandemic, the quarterly crime characteristics showed that there was a difference in crime type and crime increase and decrease rate, and that crime response measures should be changed accordingly.

The Role of Information and Communication Technology to Combat COVID-19 Pandemic: Emerging Technologies, Recent Developments and Open Challenges

  • Arshad, Muhammad
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.93-102
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    • 2021
  • The world is facing an unprecedented economic, social and political crisis with the spread of COVID-19. The Corona Virus (COVID-19) and its global spread have resulted in declaring a pandemic by the World Health Organization. The deadly pandemic of 21st century has spread its wings across the globe with an exponential increase in the number of cases in many countries. The developing and underdeveloped countries are struggling hard to counter the rapidly growing and widespread challenge of COVID-19 because it has greatly influenced the global economies whereby the underdeveloped countries are more affected by its devastating impacts, especially the life of the low-income population. Information and Communication Technology (ICT) were particularly useful in spreading key emergency information and helping to maintain extensive social distancing. Updated information and testing results were published on national and local government websites. Mobile devices were used to support early testing and contact tracing. The government provided free smartphone apps that flagged infection hotspots with text alerts on testing and local cases. The purpose of this research work is to provide an in depth overview of emerging technologies and recent ICT developments to combat COVID-19 Pandemic. Finally, the author highlights open challenges in order to give future research directions.

A Machine Learning Univariate Time series Model for Forecasting COVID-19 Confirmed Cases: A Pilot Study in Botswana

  • Mphale, Ofaletse;Okike, Ezekiel U;Rafifing, Neo
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.225-233
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    • 2022
  • The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

Remote medical Smart healthcare system for IoT-based multi-biometric information measurement (IoT기반 다중 생체정보 측정을 위한 원격 의료 스마트 헬스케어 시스템)

  • Sim, Joung-Yong;Seo, Hyun-Gon
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.53-61
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    • 2020
  • Recently, as the uncontact service is activated in earnest due to the Corona 19 virus, the necessity of system development to provide non-face-to-face contact remote medical service has increased. In this study, we propose a smart healthcare system, Rm_She(Remote Medical Smart Healthcare System). Rm_She can collect and manage various vital signs information by connecting various healthcare products that detect bio-signals based on IoT to one application. The health check app (HC_app) is used to connect vital sign measurement devices to a wireless LAN and receive vital sign values from the HC_app. Then, the vital signs are output to the user on the smartphone, and the corresponding information is transmitted to the healthcare management server. The healthcare server receives the measured values and stores them in a database, and the stored measured values are provided as a web service so that medical staff can remotely monitor them in real time.

The Characteristics of Exhaust Gas in Diesel Engine by Corana Discharge-EGR System (코로나 방전-EGR 조합시스템에 의한 디젤기관의 배기 가스 특성)

  • Park, Jae-Yoon;Jung, Jang-Gun;Kim, Jong-Suk;Ha, Hyun-Jin
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.7
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    • pp.39-44
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    • 2005
  • A great part of flint fuel is Hydrogen and carbon's combination, they should be generated steam and carbon gas when combine with oxygen for perfect combustion in the inside of engine but, the pollutive material are discharged, even though perfect combustion condition especially $NO_x$ and Smoke. they are really harmful for health. In this paper was shown the result of discharging gas' reduction quality. which used combination of corona discharge using the high voltage source of common frequency with EGR. $NO_x$ is increased in entire load erea in proportion to increasing of EGR rate and impression voltage. Smoke is increased slowly under 75[%] in load rate but it is increased rapidly in entire load erea and the reduction rate of Smoke is increased in proportion to increasing of impression voltage.

Changes in Urban Scene Elements in the Pandemic (팬데믹 시대의 도시 씬 요소 변화)

  • Gu, Suna;Jang, Wonho
    • Journal of the Economic Geographical Society of Korea
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    • v.23 no.3
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    • pp.262-275
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    • 2020
  • Due to the pandemic caused by Corona 19, cities around the world have faced a change. As the global economic system weakens, localization is increasing in the product production and distribution system. In addition, consumption patterns have changed in urban where localization has been strengthened. As a result, the way physical places are consumed is also changing. Consumption of large multi-use facilities has drastically decreased, the speed of the collapse of the online and offline boundaries has been accelerated, and the consumption of amenities for sharing tastes has become more subdivided, specialized, and private. A big change also appeared in the urban scene, which is perceived as the concentration of urban amenities. Local scale and locality became important in the urban scene, and a new urban scene element called empathy emerged. Empathy aims to connect socially and emotionally to individuals consuming urban amenities. The pursuit of connectivity, taste consumption, and nostalgia. In this study, the space for cultural consumption based on empathy was named as empathetic space and the concept was explained. The importance of empathic space in the urban scene in the future post-corona situation was presented.

Analysis of the Ripple Effect of the US Federal Reserve System's Quantitative Easing Policy on Stock Price Fluctuations (미국연방준비제도의 양적완화 정책이 주가 변동에 미치는 영향 분석)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.19 no.3
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    • pp.161-166
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    • 2021
  • The macroeconomic concept represents the movement of a country's economy, and it affects the overall economic activities of business, government, and households. In the macroeconomy, by looking at changes in national income, inflation, unemployment, currency, interest rates, and raw materials, it is possible to understand the effects of economic actors' actions and interactions on the prices of products and services. The US Federal Reserve System (FED) is leading the world economy by offering various stimulus measures to overcome the corona economic recession. Although the stock price continued to decline on March 20, 2020 due to the current economic recession caused by the corona, the US S&P 500 index began rebounding after March 23 and to 3,694.62 as of December 15 due to quantitative easing, a powerful stimulus for the FED. Therefore, the FED's economic stimulus measures based on macroeconomic indicators are more influencing, rather than judging the stock price forecast from the corporate financial statements. Therefore, this study was conducted to reduce losses in stock investment and establish sound investment by analyzing the FED's economic stimulus measures and its effect on stock prices.

Adventure filming game for people in need of healing (힐링이 필요한 사람들을 위한 3D 어드벤처 촬영 게임)

  • Shin, Soyeon;Joo, Heesun;Choi, Yeonho;Choi, Jongin;Park, Su-E
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.133-136
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    • 2022
  • As the number of stress-related diseases increases due to the prolonged Corona 19, Corona Blue is attracting attention. This social background causes negative emotions due to frustration at work, changes in existing life rhythms, and blockade of economic sources, and makes us understand our era as an era in need of healing. Therefore, the purpose of this study is to propose a 3D-based adventure filming game that adventures a fantastic space and stores memories and experiences through photos. For this, important elements of healing were explored through literature study, and based on this, a game using 3ds Max and Unity was implemented. As a result of the study, the game was implemented with a filming function that contains visual elements for cute and warm healing, an emotionally approaching story, and the meaning of space. This study provides a game that can provide non-face-to-face healing to users and presents effective and important healing factors to service providers.

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Comparative Analysis of News Big Data related to SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19)

  • Woo, Jae-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.91-101
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    • 2021
  • This paper intends to draw implications for preparing for Post-Corona in the health field and policy fields as the global pandemic is experienced due to COVID-19. The purpose of this study is to analyze the news and trends of media companies through temporal analysis of the three infectious diseases, SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19), in which the domestic infectious disease preventive system was active throughout the first year of the outbreak. To this end, by using the news analysis program of the Korea Press Foundation 'Big Kinds', the number of news articles per year was digitized based on the period when each infectious disease had an impact on Korea, and major trends were implemented and analyzed in a word cloud. As a result of the analysis, the number of articles related to infectious diseases peaked when the World Health Organization (WHO) declared a warning and (suspicious) confirmed cases occurred. According to keyword and word cloud analysis, 'infectious disease outbreak and major epidemic areas', 'prevention authorities', and 'disease information and confirmed patient information' were found to be the main common features, and differences were derived from the three infectious diseases. In addition, the current status of the infodemic was identified by performing word cloud analysis on information in uncertainty. The results of this study are significant in that they were able to derive the roles of the health authorities and the media that should be preceded in the event of a new disease epidemic through previously experienced infectious diseases, and areas to be rearranged.

Analysis of the Spread of Non-face-to-face Educational Environment using Metaverse (메타버스를 이용한 비대면 교육환경의 확산 현황 분석)

  • Hwang, Eui-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.163-164
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    • 2022
  • 본 연구는 최근 2년(2019.12.1.~2021. 11.30)간 빅카인즈를 이용하여 '메타버스 AND 비대면 교육' 키워드가 포함된 뉴스 검색 결과 1148건을 바탕으로 관계도 분석, 연관어 키워드 빈도수 및 연관어 가중치 분석을 하였다. 첫째, 관계도 분석에서 가중치 '5'로 적용한 12개의 키워드 가중치로 코로나19(64), 아바타(43), 코로나(22), 유니버스(21), 게더타운(15), 패러다임(12), 신입사원(12), 로블록스(7)로 나타났다. 둘째, 연관어 키워드 월간 빈도수로는 2019.12~ 2020.9(0건), 2020.10(1건), 2021.3(19건), 2021.4(34건), 2021.6(72건), 2021.9 (196건), 2021.11애는 233건으로 급격하게 증가하였다. 셋째 키워드와의 연관성(가중치/키워드 빈도수)으로 코로나19(113.96/515), 가상세계(67.75/ 344), 메타버스(58.36/103), 메타(49.8/5730), 가상공간(45.57/380) 순이었다. 이 분석 결과에서 위드코로나 시대의 비대면 교육으로 메타버스에 기반을 둔 가상공간 활용 교육은 더욱 증가될 것으로 예상된다.

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