• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3544-3551
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• 2012

As Korean society is quickly aging and experiencing longer life-spans, there has been increasing interest in the quality of life of the elderly. Depression has been indicated as an significant factor in the later years of one's life. The purpose of this study is to seek ways to improve the quality of life of the elderly in senior welfare center as it examines the quality of life and the extent of depression in them. One-on-one interviews were conducted with 127 subjects from the senior welfare center from November, 2011 to January, 2012, using Korean versions of WHOQOL-BREF and the Beck Depression Inventory. Among the interviewees were 62 males and 65 females. The study showed that the quality of life measured 85.82(${\pm}16.35$) points out of 130 and the extent of depression measured 9.45(${\pm}8.02$) points. The quality of life showed significant differencies according to education, degree of health, type of health insurance, occupation, and financial independence; while the depression varied according to gender, education, degree of health, type of health insurance, occupation, means of daily living, financial independence and leisure activities. Significant correlation was shown statistically between quality of life and depression. It is recommended that local communities develop programs for the promotion of the aged health and active social participation as well as job creation for the elderly, in order to improve the quality of life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.428-437
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• 2017

Recently, local government has established a development strategy which takes into account the quality of each area, in order to solve the problems posed by poor development, hindrance of the urban landscape, the limits imposed by relevant laws, etc. However, the number of floors is an important factor which determines the urban landscape, planning density and quality of the external space. This planning factor has a very different effect according to the terrestrial circumstances, number of households, underparking ratio, green space ratio and floor area ratio. Therefore, in this study, a case analysis and case study are conducted and the correlation between each index is clarified. The conclusions of this study are follows. Firstly, flexibility should be ensured by taking into consideration the density indicators, average number of floors, and residential environmental performance measures in related laws and systems. Secondly, it is necessary to develop a wide-area planning method that extends the planning concept from the beginning of planning to neighboring blocks or cities. Thirdly, deregulation measures should be implemented, such as establishing specialized strategies for each region, and regulatory measures for encouraging different types of development.

• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.71-87
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• 2007

In this study, 14 heavy snow events in Yeongdong area which are local phenomena are analyzed using MODIS cloud products provided from NASA/GSFC. The clouds of Yeongdong area at observed at specific time by MODIS are classified into A, B, C Types, based on the characteristic of cloud properties: cloud top temperature, cloud optical thickness, Effective Particle Radius, and Cloud Particle Phase. The analysis of relations between cloud properties and precipitation amount for each cloud type show that there are statistically significant correlations between Cloud Optical Thickness and precipitation amount for both A and B type and also significant correlation is found between Cloud Top Temperature and precipitation amount for A type. However, for C type there is not any significant correlations between cloud properties and precipitation amount. A-type clouds are mainly lower stratus clouds with small-size droplet, which may be formed under the low level cold advection derived synoptically in the East sea. B-type clouds are developed cumuliform clouds, which are closely related to the low pressure center developing over the East sea. On the other hand, C-type clouds are likely multi-layer clouds, which make satellite observation difficult due to covering of high clouds over low level clouds directly related with Yeongdong heavy snow. It is, therefore, concluded that MODIS cloud products may be useful except the multi-layer clouds for understanding the mechanism of heavy snow and estimating the precipitation amount from satellite data in the case of Yeongdong heavy snow.

• Journal of the Korean Society of Radiology
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• v.13 no.5
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• pp.739-747
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• 2019

As the research for analyzing the awareness and the performance level for infection control of radiological technologists working at the clinic located in Gyoungsangnam province, this study was conducted to provide the basic education data of infection control for radiological technologist who works in the clinic. During July 14, 2014 to March 31, 2015, after we sent out a total of 150 questionnaires for the survey to radiological technologists working at the clinic located in Gyoungsangnam province, 131 questionnaires suitable for research were analysis by using SPSS 18.0 statistical analysis software. As the infection control factors, a total of 60 items about the awareness and the performance level for infection control (12 items for infection control characteristics included) were analyzed. Descriptive statistics, t-test, ANOVA, correlation, and regression analysis were performed based on the general characteristics of the study subjects. Regarding the awareness factor for infection control, the total awareness level was high as $4.15{\pm}.05$ and the total performance level was also high as $4.05{\pm}.05$. Through these results, although the performance level was slightly lower than awareness level, the level of infection control of the radiological technologists working at the clinics located in Gyeongnam was analyzed to be relatively high. The infection control of the clinic's radiological technologist should be carried out through the continuous infection education and prevention activities of the hospital staff, and radiological technologist working in clinics should also be positioned as specialists in infection control.

• Journal of the Korean Magnetics Society
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• v.26 no.1
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• pp.1-6
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• 2016

Pd has the highest magnetic susceptibility among single element metals and often shows ferromagnetism under some special environments. In this paper, we report magnetism of 5- and 9-monolayers (ML) calculated by using full-potential linearized augmented plane wave method. Exchange-correlation interaction is taken into account in local density approximation (LDA) and generalized gradient approximation (GGA) and calculational results in LDA and GGA are compared with each other. It is found that calculations by LDA are more reliable compared to those by GGA because LDA prediction of paramagnetism of bulk Pd is consistent with experiments, whereas GGA predicts wrongly ferromagnetim of bulk Pd. Calculational results in LDA on a 5-ML Pd(111) thin film shows a ferromagnetic ground state unlike a paramagnetic ground state of bulk Pd. The center Pd layer of the 5-ML Pd(111) thin film has the largest magnetic moment ($0.273{\mu}_B$) among the layers and |m| = 1 orbital states play a dominant role in stabilizing the ferromagnetism of the 5-ML Pd(111) thin film. A 9-ML Pd(111) thin film in a ferromagnetic state has almost the same total energy as in a paramagnetic state. Since the magnetization of the 9-ML Pd(111) thin film is stable, the ferromagnetic state may be meta-stable.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.323-331
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• 2019

The purpose of this study was to identify the emotional and stress factors of the stroke victims living in the community and to investigate the effect of these factors on the level of social participation. Data collection collected data on the level of emotional awareness, stress, and social participation in welfare centers, public health centers, and stroke disabled people using community services. The level of social participation according to general characteristics was analyzed by descriptive statistics and one-way ANOVA. Emotional factors, stress factors, and social participation levels were analyzed by pearson correlation analysis and multiple regression analysis. As a result, there were no statistically significant factors in the sub-domains of emotional factors that affect social participation performance and satisfaction. In the sub-areas of stress factors, personal internal stress and interpersonal stress were statistically significant variables. The explanatory power showed social participation accomplishment was 34% and satisfaction was 33%. Therefore, various approaches should be made considering stressful factors to achieve rehabilitation into the local community, and additional research is needed to identify psychosocial variables that affect social participation.

• Journal of Environmental Impact Assessment
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• v.27 no.6
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• pp.717-726
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• 2018

PM(Particulate Matter) cause serious diseases of air pollution. Most of the studies have analyzed local distribution trends using satellite images or modeling techniques. However,the method using the spatial interpolation method based on the meteorological value is insufficient in Korea. In this study, monthly spatial distribution of $PM_{10}$ and $PM_{2.5}$ in January, February, March, and April of 2018 Seoul Metropolitan City were analyzed based on 39 PM monitoring networks. In addition, a distribution map showing the difference between $PM_{10}$ and $PM_{2.5}$ was based on the distribution obtained through this study. The regions of high $PM_{10}$ and $PM_{2.5}$ emissions were selected. In addition, the correlation between $PM_{10}$ and $PM_{2.5}$ was confirmed through the distribution map. This study analyzed the spatial distribution variation results of analyzing $PM_{10}$ and $PM_{2.5}$ in Seoulthrough spatial analysis technique. As a result of this study, it was confirmed that $PM_{10}$ shows high measured value on the roadside measurement station.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.425-434
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• 2020

Background: Viral infection outbreaks are emerging public health concerns. They often exhibit seasonal patterns that could be predicted by the application of big data and bioinformatic analyses. Purpose: The purpose of this study was to identify trends in diarrhea-causing viruses such as rotavirus (Gr.A), norovirus G-I, and norovirus G-II in Cheonan, Korea. The identified related factors of diarrhea-causing viruses may be used to predict their trend and prevent their infections. Method: A retrospective analysis of 4,009 fecal samples from June 2010 to December 2019 was carried out at Dankook University Hospital in Cheonan. Reverse transcription-PCR (RT-PCR) was employed to identify virus strains. Information about seasonal patterns of infection was extracted and compared with local weather data. Results: Out of the 4,009 fecal samples tested using multiplex RT-PCR (mRT-PCR), 985 were positive for infection with Gr.A, G-I, and G-II. Out of these 985 cases, 95.3% (n = 939) were under 10 years of age. Gr.A, G-I, and G-II showed high infection rates in patients under 10 years of age. Student's t-test showed a significant correlation between the detection rate of Gr.A and the relative humidity. The detection rate of G-II significantly correlated with wind-chill temperature. Conclusion: Climate factors differentially modulate rotavirus and norovirus infection patterns. These observations provide novel insights into the seasonal impact on the pathogenesis of Gr.A, G-I, and G-II.

• Journal of the Korea institute for structural maintenance and inspection
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• v.25 no.3
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• pp.100-109
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• 2021

This study was examined the tensile strength change of a circular tubular member with artificial sectional damage on its surface to consider surface sectional damage by corrosion. The tensile strength tests were conducted using circular tubular specimens with artificial sectional damage considering sectional damaged height and width on its surface according to the corrosion level. From the tensile strength test results, it is confirmed that tensile strength of the circular tubular specimens was affected by the damaged circumference (damaged width), not damaged length (damaged height) and their tensile failures were appeared at the minimum section of the artificial sectional damage part. Nonlinear finite-element analyses were conducted considering equivalent sectional damage effect on sectional damaged part in tensile specimens to examine the change in the tensile strength of tubular specimens with artificial sectional damage since it is difficult to estimate the sectional damaged surface condition of the specimens clearly. From the nonlinear finite element analysis results for the tensile test specimens, tensile strengths of test specimens with irregular sectional damaged surface were relatively evaluated to be highly decreased than these of FE analysis model with equivalent sectional damage. Therefore, residual tensile strengths of tensile members with irregular sectional damage as local corrosion can be evaluated and predicted using correlation coefficient between tensile test results and FE analysis results with equivalent sectional damage.

• Journal of Environmental Impact Assessment
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• v.30 no.4
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• pp.237-246
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• 2021

The similarity of hourly PM₁₀ and PM_2.5 concentration profiles of the atmospheric monitoring stations in Gyeonggi-do was evaluated through the multilateral analysis between stations. The existing category for most stations in the regions shows relatively low Pearson correlation values of 0.68 and 0.7 for PM₁₀ and PM_2.5 on average respectively, and some monitoring stations revealed high relationships over 0.8 to other regions. Since the current regions are mainly categorized by cluster analysis based on the number of occurrence of high concentration events and geological factors, it is necessary to reclassify them by concentration characteristics for precise fine dust management. In accordance, multi-dimensional scaling being able to visualize could categorize the regions based on regional emission contribution rate and hourly fine dust concentration. As a result of the current analysis, PM₁₀ and PM_2.5 could be reclassified into five regions and fourregions, respectively.