http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
The Evolving Policy Debate on Border Closure in Korea
Su-Jin Kang,Jihyun Moon,Heewon Kang,Heekyoung Nam,Sangwoo Tak,Sung-Il Cho 대한예방의학회 2020 Journal of Preventive Medicine and Public Health Vol.53 No.5
302 Copyright © 2020 The Korean Society for Preventive Medicine J Prev Med Public Health 2020;53:302-306 • https://doi.org/10.3961/jpmph.20.213 The Evolving Policy Debate on Border Closure in Korea SuJin Kang1, Jihyun Moon2, Heewon Kang1, Heekyoung Nam3, Sangwoo Tak1, Sung-il Cho1,3 1Institute of Health and Environment, Seoul National University, Seoul, Korea; 2Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, Korea; 3Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Korea Brief Report Objectives: In this paper, we aimed to investigate the evolving debate over border closure in Korea during the coronavirus disease 2019 (COVID-19) pandemic, to address the main themes associated with border closure, and to discuss the factors that need to be considered when making such decisions. Methods: We collated and reviewed previously conducted review studies on border closures during infectious disease outbreaks to derive relevant themes and factors. Results: According to our systematic review on border closures and travel restrictions, the effects of such containment efforts are limited. We suggest considering the following factors when determining whether to impose border closure measures: (1) disease characteristics, (2) timeliness of implementation, (3) transmission delay and the basic reproduction number, (4) globalization and pandemics, and (5) social and economic costs. Conclusions: Our assessment indicates that the effects of border closures are at best temporary and limited. Alternative measures must be contemplated and implemented to suppress the spread of COVID-19 in particular and infectious diseases more broadly.
Kang, Sangwoo,Shin, Kwang Deok,Kim, Jeong Hun,Chung, Taijoon Springer-Verlag 2018 Plant cell reports Vol.37 No.4
<P>Plant and other eukaryotic cells use autophagy to target cytoplasmic constituents for degradation in the vacuole. Autophagy is regulated and executed by a conserved set of proteins called autophagy-related (ATG). In Arabidopsis, several groups of ATG proteins have been characterized using genetic approaches. However, the genetic interactions between ATG genes have not been established and the relationship between different ATG groups in plants remains unclear. Here we analyzed atg2, atg7, atg9, and atg11 mutants and their double mutants at the physiological, biochemical, and subcellular levels. Involvement of phosphatidylinositol 3-kinase (PI3K) in autophagy was also tested using wortmannin, a PI3K inhibitor. Our mutant analysis using autophagy markers showed that atg7 and atg2 phenotypes are more severe than those of atg11 and atg9. Unlike other mutants, atg2 cells accumulated several autophagic vesicles that could not be delivered to the vacuole. Analysis of atg double mutants, combined with wortmannin treatment, indicated that ATG11, PI3K, and ATG9 act upstream of ATG2. Our data support a model in which plant ATG1 and PI3K complexes play a role in the initiation of autophagy, whereas ATG2 is involved in a later step during the biogenesis of autophagic vesicles.</P>
Direct sampling method for imaging small dielectric inhomogeneities: analysis and improvement
Kang, Sangwoo,Lambert, Marc,Park, Won-Kwang Institute of Physics 2018 Inverse problems Vol.34 No.9
<P>The direct sampling method (DSM) has been introduced for non-iterative imaging of small inhomogeneities and is known to be fast, robust, and effective for inverse scattering problems. However, to the best of our knowledge, a full analysis of the behavior of the DSM has not been provided yet. Such an analysis is proposed here within the framework of the asymptotic hypothesis in the 2D case leading to the expression of the DSM indicator function in terms of the Bessel function of order zero and the sizes, shapes and permittivities of the inhomogeneities. Thanks to this analytical expression the limitations of the DSM method when one of the inhomogeneities is smaller and/or has lower permittivity than the others is exhibited and illustrated. An improved DSM is proposed to overcome this intrinsic limitation in the case of multiple incident waves. Then we show that both the traditional and improved DSM are closely related to a normalized version of the Kirchhoff migration. The theoretical elements of our proposal are supported by various results from numerical simulations with synthetic and experimental data.</P>
Kang, Seulki,Kang, Tae-Hyung,Kim, Byoung Soo,Oh, Jinwoo,Park, Sangwoo,Choi, In Suk,Lee, Jonghwi,Son, Jeong Gon Elsevier 2019 Composites Part B, Engineering Vol.162 No.-
<P><B>Abstract</B></P> <P>The recent rapid development of soft electronics and wearable technology has demanded materials with the function of combining mechanical deformation and electronics. Particularly, materials simultaneously having memory shape characteristics in which mechanical deformation repeatedly occurs in response to stimulus, high stretchability and excellent electric/heat transfer characteristics are interesting actuator materials in future applications. As a stretchable and conductive platform, we fabricated a reentrant micro-honeycomb structure from graphene-CNT, which had structural stretchability due to the accordion-like reentrant structure and continuous conductive paths in the vertical and horizontal directions. To impart shape memory properties, we fabricated composites by simply infiltrating shape memory polyurethane (SMPU) into a stable graphene/CNT framework. Our resulting reentrant micro-honeycomb graphene-CNT/SMPU composites simultaneously exhibited a relatively low resistivity of 5 Ω cm, a change in resistance of less than 10% in the 50% stretching/releasing states, long term stability, and superior tensile shape memory properties, including 95.6% shape fixity and a 90.6% recovery ratio. Regularly distributed graphene-CNT structures offer heterogeneous nucleation sites and undisturbed crystal growth in neat SMPU pillars, resulting in superior shape memory properties. We also constructed a circuit with portable batteries to demonstrate that our reentrant graphene-CNT/SMPU composite offers potential applications as an emergency circuit breaker.</P>
TPM의 Authenticated Boot를 활용한 VANET의 보안 향상 기법 설계
강상우(Sangwoo Kang),박세진(Sejin Park) 한국정보과학회 2009 한국정보과학회 학술발표논문집 Vol.36 No.1D
본 연구에서는 신뢰할 수 있는 컴퓨팅 환경을 구현하기 위한 핵심 하드웨어 모듈인 TPM(Trusted Platform Module)을 이용해서, VANET(Vehicular Ad-Hoc Networks) 환경에서 발생할 수 있는 여러 보안 문제들을 해결하는 방법을 제안한다. 기존의 VANET에서는 정상적인 프로그램이라도 악의적인 코드에 의해 수정되어 응용 프로그램들이 전파방해 공격, 위조 공격, 위장 공격, 트래픽 위 변조 공격 등을 일으킬 수 있게 된다. 특히 VANET에서 자동차간 교환되는 메시지는 사용자의 안전과 직결되는 내용을 포함하고 있기 때문에 높은 신뢰성이 보장되어야 한다. 본 논문에서 제안하고 있는 방법은 TPM을 이용해서 자동차 단말이 Authenticated Boot 을 수행함으로써 단말에서 사용하고 있는 OS 및 각종 Application의 검증을 통해 VANET 에서의 발생할 수 있는 다양한 공격을 원천적으로 방지하고 있다.
강상우(Sangwoo Kang),서정연(Jungyun Seo) 한국정보과학회 2013 정보과학회논문지 : 소프트웨어 및 응용 Vol.40 No.9
본 논문은 사용자의 발화 의도를 분석하기 위해 화행, 개념 열 그리고 인자들 사이의 연관성을 고려한 사용자 발화 의도 분석 기법을 제안한다. 제안한 모델의 발화 의도 분석 과정은 2단계로 구성된다. 1단계에서는 개념 열, 인자, 화행 분석을 순차적으로 수행하고, 2단계에서는 1단계의 분석 결과를 자질로 사용하여 재 학습을 수행한다. 재 학습과정에서는 상호연관적인 특성을 갖는 각 요소의 1단계 분석 결과를 추가자질로 사용함으로써 발화 의도 분석 성능을 향상시킨다. 실험을 통하여 제안한 재 학습 모델과 기본 모델의 비교를 통해 개념 열, 인자 그리고 화행 분석에서 각각 7.45%p, 14.78%p 그리고 5.84%p의 분석 오류 감소율을 보임으로서 발화 의도 분석 성능이 개선되었음을 확인하였다. This paper proposes an integrated analysis method that estimates user intention in utterance by considering the correlative characteristic between each constituent (speech act, concept sequence, and arguments) of the user intention. The proposed method comprises two distinctive steps. In the first step, each constituent of the user intention is analyzed in sequence, the results of which are taken as input for analysis in the second step. In this step, estimation accuracy for user intention can be improved because the correlative characteristic of speech act, concept sequence, and arguments have been considered. Experiment showed that the proposed model improves user intention estimation over the conventional model with error rate reductions in concept sequence, speech act, and arguments by 7.45%p, 14.78%p and 5.84%p respectively.