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제주 텔레매틱스 시범 서비스의 설계 - 텔레매틱스 세상으로의 한 걸음의 전진
장인성(InSung Jang),유재준(JaeJun Yoo),최완식(WanSik Choi),박종현(JongHyun Park) 한국정보과학회 2005 한국정보과학회 학술발표논문집 Vol.32 No.1
정보 통신 기술의 빠른 발전으로 인해 차량이 단순한 운전 공간이 아닌 다양한 서비스를 이용할 수 있는 복합적 환경으로 변모해 감에 따라 텔레매틱스라는 말이 더 이상 낯선 말이 되지 않고 있다. 이에 세계의 여러 나라들은 이와 관련된 IT 산업에서의 경쟁력 확보를 위해 핵심 기술을 더욱 연구 개발하고 있다. 본 논문에서는 텔레매틱스 기술을 발전시키고, 관련 산업을 더욱 활성화 시키기 위하여 현재 진행중인 제주 텔레매틱스 시범 서비스에 대해 소개한다. 제주 텔레매틱스 시범 서비스는 향후 관련 기술의 향상과 국외 텔레매틱스 기술에서의 주도권 확보를 통하여 한국이 텔레매틱스 강국이 되는 것을 목표로 하고 있다.
Jang, Jin-Hwa,Lee, Ji-Hae,Je, Mi-Kyung,Cho, Myeong-Ji,Bae, Young Mee,Son, Hyeon Seok,Ahn, Insung The Korean Society for Preventive Medicine 2015 Journal of Preventive Medicine and Public Health Vol.48 No.4
Objectives: This study was performed to investigate the relationship between the incidence of national notifiable infectious diseases (NNIDs) and meteorological factors, air pollution levels, and hospital resources in Korea. Methods: We collected and stored 660 000 pieces of publicly available data associated with infectious diseases from public data portals and the Diseases Web Statistics System of Korea. We analyzed correlations between the monthly incidence of these diseases and monthly average temperatures and monthly average relative humidity, as well as vaccination rates, number of hospitals, and number of hospital beds by district in Seoul. Results: Of the 34 NNIDs, malaria showed the most significant correlation with temperature (r=0.949, p<0.01) and concentration of nitrogen dioxide (r=-0.884, p<0.01). We also found a strong correlation between the incidence of NNIDs and the number of hospital beds in 25 districts in Seoul (r=0.606, p<0.01). In particular, Geumcheon-gu was found to have the lowest incidence rate of NNIDs and the highest number of hospital beds per patient. Conclusions: In this study, we conducted a correlational analysis of public data from Korean government portals that can be used as parameters to forecast the spread of outbreaks.
Chemical kinetics-assisted, path-based smoke simulation
Jang, Yoojin,Ihm, Insung John Wiley Sons, Ltd. 2009 COMPUTER ANIMATION AND VIRTUAL WORLDS Vol.20 No.2
<P>Despite recent successes in physics-based fluid animation, generating desired fluid flow with intuitive control of its motion still remains a challenging problem in the special effects industry. In this paper, we propose a novel approach for path-based smoke simulation that explores the theory of chemical kinetics in an aim to provide a useful animation tool. By describing intended smoke effects through chemical reaction equations and adjusting their parameters, our method allows to easily create various interesting smoke effects that were often hard to get with previous techniques. To demonstrate the effectiveness of the presented animation framework, we describe several examples of path-based smoke animations, generated with easily understandable reaction equations and control parameters. Copyright © 2009 John Wiley & Sons, Ltd.</P> <B>Graphic Abstract</B> <P>This paper presents a novel approach for path-based smoke simulation that explores the theory of chemical kinetics in an aim to provide a useful animation tool. By describing intended smoke effects through chemical reaction equations and adjusting their parameters, it allows to easily create various interesting smoke effects that were often hard to get with previous techniques. We describe several examples of path-based smoke animations, generated with easily understandable reaction equations and control parameters. <img src='wiley_img/15464261-2009-20-2-3-CAV286-gra001.gif' alt='wiley_img/15464261-2009-20-2-3-CAV286-gra001'> </P>
Predicting the Infectious Disease Spread Using Floating Population Data in Seoul, South Korea
Jinhwa Jang,Insung Ahn 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.6
Emerging of global infectious diseases threat to worldwide induced numerous patients through person to person infection. In previous study, we investigated effects of traveling nationwide using expressway data on the spread of H1N1 influenza virus in Korea during 2009–2010. As a result, influenza epidemic patterns of the 2009 were correlated with some region traffic flow. In this study, we focused on Seoul which region is a highest density of population in Korea. Also using system dynamics-based simulation of the spread of an infectious disease in each of the 25 districts in Seoul was performed. Consequently, the decrease in the number of infected people in the district with a large floating population size was more significant than that with a high population density. This study is meaningful as it visualized the number of infected people on the map, which includes actual geographical information and the changes over time in the number of individuals that belong to S, I, and R classes of population. Also mathematical model based on Korea unique traffic and population movement information could be used. These results can be applying additional population and traffic data in the future, and support making decisions when establishing an effective infectious disease control strategy.