미국 통계청 가구펄스조사 미시자료를 이용한 고로나19 백신 접종 의향 결정요인 분석 : 주택유형·점유형태 중심으로

박정호 ( Park¸ Jungho ) 한국부동산분석학회 2021 不動産學硏究 Vol.27 No.3

본 연구는 주택의 특성과 코로나19 백신 접종 의향의 관계를 분석하는데 목적이 있다. 본 연구의 자료인 가구 펄스조사(Household Pulse Survey)는 코로나19 팬데믹 시작부터 지금까지 미국 통계청에서 전국에 걸쳐 격주 간격으로 진행 중인 근실시간(Near Real-time) 설문조사이다. 본 연구는 가구펄스조사 미시자료와 주(State) 단위 지역자료를 결합하여 1 단계 개인·가구 수준과 2단계 지역 수준의 다층이항로짓모형을 구축하였다. 분석 결과, 다양한 인구학적·사회경제적·의료보건적 특성을 통제했음에도 불구하고 주택유형과 주택점유형태가 모두 코로나19 백신 불신과 유의미한 관계를 가지는 것으로 나타났다. 특히, 이 같은 주택 특성 효과는 특정 집단과 특정 코로나19 팬데믹 여건 하에서 백신 불신을 더욱 강화시키는 것으로 도출되었다. 본 연구 결과의 함의는 코로나19 백신접종을 확대하고 백신 불신을 완화하는데 있어 개개인이 거주하는 주택의 특성이 중요한 역할을 할 수 있음을 시사한다. 아울러 코로나19 백신접종 교육과 캠페인 추진 시 코로나19 팬데믹 여건이 더욱 심화되고 있는 지역과 특정 집단에 이들 정책적 노력이 집중되어야할 필요가 있음을 뜻한다. This paper examines the relationship between housing characteristics and COVID-19 vaccine hesitancy by using the Household Pulse Survey, a national and near real-time data timely deployed by the U.S. Census Bureau. Controlling for the individual-level and state-level characteristics in addition to spatiotemporal effects, this paper finds that overall, renters are more hesitant than homeowners about receiving COVID-19 vaccines. Multifamily residents who often contact other residents are less hesitant than single-family residents about COVID-19 vaccinations. However, these housing effects are unequal among different demographic, socioeconomic, and medical groups and depending on regional COVID-19 conditions. For instance, findings demonstrate that renters are more likely to be hesitant about COVID-19 vaccines than homeowners when they are non-Hispanic black, low-income, and non-COVID-19 patients. Multifamily residents appear to be less hesitant about vaccinations when they reside in the region featured by rapidly increasing COVID-19 cases and expanding vaccine rollouts. These results suggest that it is critical to recognize the significant role of housing characteristics in determining individuals’ vaccine hesitancy. Vaccine programs and interventions should target those who report a higher level of vaccine hesitancy when living in specific housing conditions and regional contexts during the pandemic.

Local electroless Ni-P plating using PDMS on AAO

Jungho PARK,Younglea CHO,Chan PARK,Hwasun PARK,Sujeong SUH 한국진공학회 2016 한국진공학회 학술발표회초록집 Vol.2016 No.8

Face Tracking Using Skin-Color and Robust Hausdorff Distance in Video Sequences

Jungho Park(박정호),Changwoo Park(박창우),Mignon Park(박민용) 대한전자공학회 1999 대한전자공학회 학술대회 Vol.1999 No.11

Development and performance test of a micromachined unipolar charger for measurements of submicron aerosol particles having a log-normal size distribution

Park, Dongho,Kim, Yong-Ho,Lee, Sang-Goo,Kim, Chul,Hwang, Jungho,Kim, Yong-Jun Elsevier 2010 Journal of aerosol science Vol.41 No.5

<P><B>Abstract</B></P><P>We designed and evaluated a chip-type unipolar charger based on a micro-electro-mechanical systems (MEMS) process for a compact, portable, inexpensive, and easy-to-deploy instrument to measure real-time aerosol particle size distribution with reasonable accuracy. The charger was evaluated using two parameters: particle loss and charging characteristics which were the product of penetration (<I>p</I>) and average number of charges (<I>n<SUB>p</SUB></I>). Particle losses were below 16.6%, and <I>p</I>·<I>n<SUB>p</SUB></I> was approximately proportional to dp2. After evaluation, the number concentrations and the geometric mean diameters of NaCl aerosol particles were estimated using a method presented in <ce:cross-ref refid='bib13'>Park, An, and Hwang (2007a)</ce:cross-ref> and were compared to scanning mobility particle sizer (SMPS) data. To simulate the charger, a commercial computational fluid dynamics (CFD) software, FLUENT (6.3 version), with external user defined function (UDF) code, was used to solve the electric field, flow field, average particle charge, and particle trajectories. The measured data of particle loss, average particle charge, number concentration, and geometric mean diameter were in good agreement with the results calculated by FLUENT.</P>

Work Function Shift Mechanism of Metal-Gate Electrode with Ru∕Ti Bilayer

Park, In-Sung,Ko, Han-Kyoung,Lee, Taeho,Park, Jungho,Choi, Duck-Kyun,Ahn, Jinho,Park, Min-Ho,Yang, Cheol-Woong The Electrochemical Society 2007 Electrochemical and solid-state letters Vol.10 No.2

Development of a monoenergetic neutron field utilizing an accelerator deuteron beam

Park Hyeoungwoo,Kang Sinchul,Kim Jungho,Park Hyeonseo,Kim Joong Hyun,Yoon Young Soo 한국물리학회 2023 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.83 No.8

A monoenergetic neutron feld is an attractive environment for neutron metrology and the development of novel neutron detectors. Deuterium–deuterium and deuterium–tritium (DT) reactions with an accelerated deuteron beam produce 2.5 and 14.8 MeV monoenergetic neutrons, respectively. The Korea Research Institute of Standards and Science (KRISS) is developing a monoenergetic neutron feld facility with an accelerator that generates a deuteron beam to establish monoenergetic neutron measurement standards. An electrostatic accelerator with a maximum high voltage of 400 kV and beam current from 0.5 to 500 μA from High Voltage Engineering Europa BV was installed. For a tritiated titanium or deuterated titanium target deposited at 250 μg/cm2 on a 38 mm copper plate, a target chamber is developed by KRISS. The total neutron yield is limited to 5× 108 n/s, which is the maximum allowed emission rate resulting from the shielding capacitance of a laboratory wall shield. The corresponding deuteron beam current of the DT reaction with the maximum emission rate is approximately 15 μA. Furthermore, various additional studies such as beam current monitoring, target temperature monitoring, air cooling for the target, and beam profle measurement have been performed for the stable generation of the monoenergetic neutron feld.

Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula

Park, Seonyoung,Im, Jungho,Park, Sumin,Rhee, Jinyoung Elsevier 2017 Agricultural and forest meteorology Vol.237 No.-

<P><B>Abstract</B></P> <P>Droughts, typically caused by the deficiencies of precipitation and soil moisture, affect water resources and agriculture. As soil moisture is of key importance in understanding the interaction between the atmosphere and Earth’s surface, it can be used to monitor droughts. In this study, a High resolution Soil Moisture Drought Index (HSMDI) was proposed and evaluated for meteorological, agricultural, and hydrological droughts. HSMDI was developed using the 1km downscaled soil moisture data produced from the Advanced Microwave Scanning Radiometer on the Earth Observing System (AMSR-E) from 2003 to 2011 (March to November) over the Korean peninsula. Seven products from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Tropical Rainfall Measuring Mission (TRMM) satellite sensors were used to downscale AMSR-E soil moisture based on random forest machine learning. The downscaled 1km soil moisture was correlated well with both <I>in situ</I> and AMSR-E soil moisture with the mean coefficient of determination (<I>R<SUP>2</SUP> </I>) of 0.29 and 0.59, respectively. The Standardized Precipitation Index (SPI) with time scales from 1 to 12 months, crop yields (for sesame, highland radish, and highland napa cabbage) and streamflow data were used to validate HSMDI for various types of droughts. The results showed that HSMDI depicted meteorological drought well, especially during the dry season, with a similar pattern with the 3-month SPI. However, the performance fluctuated a bit during the wet season possibly due to the limited availability of optical sensor data and heterogeneous land covers around the stations. HSMDI also showed high correlation with crop yield data, in particular the highland radish and napa cabbage cultivated in non-irrigated regions with a mean <I>R<SUP>2</SUP> </I> of 0.77. However, HSMDI did not monitor streamflow well for hydrological drought presenting a various range of correlations with streamflow data (from 0.03 to 0.83).</P> <P><B>Highlights</B></P> <P> <UL> <LI> Surface variables were integrated to produce high resolution soil moisture (1km). </LI> <LI> Machine learning was used to model high resolution soil moisture. </LI> <LI> High resolution Soil Moisture Drought Index (HSMDI) was proposed. </LI> <LI> HSMDI was evaluated for three types of droughts. </LI> <LI> HSMDI provided good performance to monitor meteorological and agricultural droughts. </LI> </UL> </P>

Failure prediction of a motor-driven gearbox in a pulverizer under external noise and disturbance

Jungho Park,Byungjoo Jeon,Jongmin Park,Myungyon Kim,Byeng D. Youn 국제구조공학회 2018 Smart Structures and Systems, An International Jou Vol.22 No.2

Participants in the Asia Pacific Conference of the Prognostics and Health Management Society 2017 (PHMAP 2017) Data Challenge were given measured vibration signals from motor-driven gearboxes used in pulverizers. Using this information, participants were requested to predict failure dates and the faulty components. The measured signals were affected by significant noise and disturbance, as the pulverizers in the provided data worked under actual operating conditions. This paper thus presents a fault prediction method for a motor-driven gearbox in a pulverizer system that can perform under external noise and disturbance conditions. First, two fault features, an RMS value in the higher frequency zones (HRMS) and an amplitude of a period for high-speed shaft in the quefrency domain (QAHSS), were extracted based on frequency analysis using the higher and lower sampling rate data. The two features were then applied to each pulverizer based on results of frequency responses to impact loadings. Then, a regression analysis was used to predict the failure date using the two extracted features. A weighted regression analysis was used to compensate for the imbalance of the features in the given period. In addition, the faulty components in the motor-driven gearboxes were predicted based on the modulated frequency components. The score predicted by the proposed approach was ranked first in the PHMAP 2017 Data Challenge.

Free Choice Informal Learning

( Jungho Park ) 한국교육공학회 2014 한국교육공학회 학술대회발표자료집 Vol.2014 No.2

Failure prediction of a motor-driven gearbox in a pulverizer under external noise and disturbance

Park, Jungho,Jeon, Byungjoo,Park, Jongmin,Cui, Jinshi,Kim, Myungyon,Youn, Byeng D. Techno-Press 2018 Smart Structures and Systems, An International Jou Vol.22 No.2

Participants in the Asia Pacific Conference of the Prognostics and Health Management Society 2017 (PHMAP 2017) Data Challenge were given measured vibration signals from motor-driven gearboxes used in pulverizers. Using this information, participants were requested to predict failure dates and the faulty components. The measured signals were affected by significant noise and disturbance, as the pulverizers in the provided data worked under actual operating conditions. This paper thus presents a fault prediction method for a motor-driven gearbox in a pulverizer system that can perform under external noise and disturbance conditions. First, two fault features, an RMS value in the higher frequency zones (HRMS) and an amplitude of a period for high-speed shaft in the quefrency domain ($QA_{HSS}$), were extracted based on frequency analysis using the higher and lower sampling rate data. The two features were then applied to each pulverizer based on results of frequency responses to impact loadings. Then, a regression analysis was used to predict the failure date using the two extracted features. A weighted regression analysis was used to compensate for the imbalance of the features in the given period. In addition, the faulty components in the motor-driven gearboxes were predicted based on the modulated frequency components. The score predicted by the proposed approach was ranked first in the PHMAP 2017 Data Challenge.