• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.383-385
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• 2021

According to a paper on estimating and forecasting the size of the pet-related industry published in 2018, 26.9% of the nation's pet-owned households were in their 30s and one-person households, consisting only of couples, as of 2015. Regarding the social increase in single-person households and double-income couples, it is believed that the surge in neglect time and lack of training time that pets do not want is a problem. This paper conducted the development of hardware and software products for the training and management of companion animals using Lego Mind Storm. Lego mind Storm is equipped with a variety of sensors and can produce equipment to train or care pets with simple programming through easy assembly and visual scripting. It is also expected that switching to new equipment will be easy because it is well modularized. We hope that this study will help the training and management of pets when the expansion of the pet market becomes active through this study.

• Journal of Advanced Technology Convergence
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• v.3 no.2
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• pp.1-7
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• 2024

This study was conducted on 2,380 people aged 40-64 years old among the subjects of the National Health and Nutrition Examination Survey in 2021, the 3rd year of the 8th period. In order to identify factors influencing disease morbidity and health-related quality of life according to household type, general characteristics, diseases, etc. Morbidity and physical factors were compared and analyzed. The data were analyzed after creating a weighted complex sample plan file using the spss 25.0 program, and the significance level was set at .05. As a result of the analysis, factors affecting single-person households were education level, restrictions of activity, and depression, and factors affecting multi-person households were gender, smoking, restrictions of activity, dyslipidemia, and depression. Subjective health status showed a positive correlation with health-related quality of life, and anxiety and stress showed a negative correlation. Based on the results of this study, It is that propose individual quality-of-life improvement interventions that take into account each influencing factor for each household type.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.149-166
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• 2013

The purpose of this study is to analyze the regional disparity and its determinants of $CO_2$ emission from the residential energy consumption in China. This study examines factors that affect the $CO_2$ emission per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006~2011. $CO_2$ emission per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. $CO_2$ emission per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on $CO_2$ emission. The findings suggest that the effect of policies reducing $CO_2$ emission per capita may vary by characteristics of the household, energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.1-6
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• 2019

Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.

• Journal of muscle and joint health
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• v.30 no.3
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• pp.242-253
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• 2023

Purpose: The purpose of this study was to identify factors associated with physical activity in older adults living alone. Methods: This is cross-sectional, correlational study used secondary data from the 2019 Community Health Survey. The participants were 19,134 older adults aged 65 years or older and living alone. Data were analyzed using descriptive statistics, the 𝜒² test, and linear regression with the SPSS/WIN 27.0 program. Results: The participants' average amount of physical activity was 1,359.32 MET-min/week; 50.7% were inactive, 38.6% were minimally active, and 10.7% were health-promoting active. Demographic factors that predicted physical activity were gender, age, education level and monthly income, whereas health behavior factors included subjective health status and high risk drinking (R²=.055, p<.001). Psychological factors were sleeping time, stress, depression and fear of falling, and social factors included social contact with neighbors or friends, and participation in social or leisure activites(R²=.070, p<.001). Conclusion: It is important to determine the level of physical activity in older adults living alone. Demographic characteristics, health behaviors, psychological factors, and social factors should be considered in the development of specific and integrated nursing interventions to increase physical activity in older adults.

• Journal of Yeungnam Medical Science
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• v.5 no.2
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• pp.183-187
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• 1988

Although halothane is one of the most widely used inhalation anesthetics, it may cause postanesthetic complications such as halothane hepatitis. Halothane hepatitis has been reported intermittentely with variable incidence. However it is not easy to prove halothane as a causative agent, because there are many factors causing postoperative hepatic dysfunction. The author had a case of acute hepatitis developing after open heart surgery used halothane. 37-year-old female underwent an open heart surgery for ASD repair under halothane anesthesia On the 14th postoperative day, she developed high fever of 38 C. Liver function tests showed marked elevation of SGOT, SGPT, and bilirubin, followed by gross jaundice. HB, Ag(-) and HB, Ab(+) were reported. She died of acute respiratory, hepatic, and renal failure on the 19th postoperative day Possible causes of the hepatitis were considered halothane, blood transfusion, and drugs.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2008.06a
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• pp.50-50
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• 2008

본 연구에서는 전방항성 초음파 액추에이터의 제작, 시뮬레이션, 구동 드라이버 제작, 제어 방법에 대하여 연구하였다. 우선, 시뮬레이션 툴인 ATILA를 사용하여 전방향성 초음파 액추에이터를 설계하였고 구동 주파수, 어드미턴스 특성 그리고 액추에이터의 움직임을 분석하여 최적의 구동 주파수 영역을 파악하였다. 실제 구동을 확인하기 위하여 액추에이터 스테이지와 구동 드라이버를 개발 하였다. 전방항성 액추에이터 스테이지의 구조는 액추에이터와 4개의 볼 베어링이 알루미나 볼을 압착하는 형태이며 세라믹에 인가되는 사인파의 위상차에 의하여 4개의 방향으로 구동 할 수 있다. 또한, 액추에이터를 위치 제어를 위하여 로터리 엔코더 두 개를 사용하여 구의 움직임을 파악하였고 PID 제어기법을 사용하여 액추에이터의 움직임을 제어하였다. 스테이지 구조상 엔코더의 $70^{\circ}$ 내에서만 구동 가능하며, 실험 결과를 통하여 전방향성 초음파 액추에이터는 약 $1.2^{\circ}$의 분해능을 가지고 구동영역 내 원하는 좌표로의 이동이 가능했고, 향후 고 정밀 관절 및 인공 눈에 응용 가능할 것으로 사료된다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.375-376
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• 2005

탄소나노튜브는 캔틸레버처럼 주어진 압력에 의해 elastic curve를 형성하게 되는데, 이러한 성질은 탄소나노튜브가 가지고 있는 young's modulus와 구조적인 형태에서 기인한다. 따라서 탄소나노튜브의 변위와 인가된 analyte의 농도에 따른 압력 사이의 관계를 이용해 가스센서로의 적용이 가능하다. 이 번 연구에서는 시뮬레이션을 통해 길이가 30nm 이고 반경이 1.5nm로 모델링 된 단일 벽 탄소나노튜브가 3000ppm와 1000ppm ethanol의 농도에 의해 형성된 elastic curve의 최대변위를 구하고, 농도와 단일 벽 탄소나노튜브의 elastic curve의 최대변위가 비례함을 보였다.

• Land and Housing Review
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• v.12 no.2
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• pp.47-59
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• 2021

This study aims to review the trends of the population outflows in the metropolitan area of Busan and to investigate the factors that affect population out-migration to the Seoul metropolitan area. The following variables are considered for analysis: traditional population movement variables and quality of life variables, such as population, society, employment, housing, culture, safety, medical care, greenery, education, and childcare. The 'domestic population movement data', provided by the MDIS of the National Statistical Office, was used for this research. Out of the total of 57 million population movement data in the period 2012 - 2017, population outmigration from Busan to the Seoul metropolitan area was extracted. Independent variables were drawn from public data sources in accordance with the temporal and spatial settings of the study. The multiple linear regression model was specified based on the dataset, and the fit of the model was measured by the p-value, and the values of Adjusted R2, Durbin-Watson analysis, and F-statistics. The results of the analysis showed that the variables that have a significant effect on population movement from Busan to the Seoul metropolitan area were as follows: 'single-person households', 'the elderly population', 'the total birth rate', 'the number of companies', 'the number of employees', 'the housing sales price index', 'cultural facilities', and 'the number of students per teacher'. More positive (+) influences of the population out-movement were observed in areas with higher numbers of single-person households, lowers proportions of the elderly, lower numbers of businesses, higher numbers of employees, higher numbers of housing sales, lower numbers of cultural facilities, and lower numbers of students. The findings suggest that policies should enhance the environments such as quality jobs, culture, and welfare that can retain young people within Busan. Improvements in the quality of life and job creation are critical factors that can mitigate the outflows of the Busan residents to the Seoul metropolitan area.

• Journal of Korean Public Health Nursing
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• v.30 no.2
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• pp.195-205
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• 2016

Purpose: This study is to compare the difference in status between elderly individuals with and without a spouse. Methods: The study is based on the Fifth Korean National Health and Nutrition Examination Survey(KNHAENS), between 2010 and 2012. Subjects were over the age of 65 years who participated in the survey. Chi-square test and logistic regression of complex sampling design of the KNHAENS and used the survey analysis method by SPSS (version 18). Results: Sleep time of female elders living alone was the shortest which was 2.59 times that of male elders living with a spouse. Stress awareness of female elders living with a spouse was the highest, which was 3.21 times that of male elders living with a spouse. Depression was the highest in female elders living alone, which was 2.26 times that of male elders living with a spouse. Suicidal idea was the strongest in female elders living alone, which was 2.87 times that of male elders living alone. Conclusion: Female elders living alone were weakest in regards to socio-economical aspect with the highest rate of poverty, low educational status, and unemployment. The mental health status of females was worse than that of males. In particular, the mental health status of females living alone was the worst.