• Journal of Cadastre & Land InformatiX
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• v.48 no.1
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• pp.169-186
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• 2018

The social influence of the elderly population will accelerate in a rapidly aging society. The purpose of this study is to establish a methodology for extracting vulnerable districts of the welfare of the aged through machine learning(ML), artificial neural network(ANN) and geospatial analysis. In order to establish the direction of analysis, this progressed after an interview with volunteers who over 65-year old people, public officer and the manager of the aged welfare facility. The indicators are the geographic distance capacity, elderly welfare enjoyment, officially assessed land price and mobile communication based on old people activities where 500 m vector areal unit within 15 minutes in Yongin-city, Gyeonggi-do. As a result, the prediction accuracy of 83.2% in the support vector machine(SVM) of ML using the RBF kernel algorithm was obtained in simulation. Furthermore, the correlation result(0.63) was derived from ANN using backpropagation algorithm. A geographically weighted regression(GWR) was also performed to analyze spatial autocorrelation within variables. As a result of this analysis, the coefficient of determination was 70.1%, which showed good explanatory power. Moran's I and Getis-Ord Gi coefficients are analyzed to investigate spatially outlier as well as distribution patterns. This study can be used to solve the welfare imbalance of the aged considering the local conditions of the government recently.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.291-300
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• 2023

The purpose of this study is to analyze the effect of teachers' motivation for choosing teaching on the relationship with career adaptability through self-directed learning in 271 pre-service early childhood teachers. As a result of the study, first, career adaptability, self-directed learning, and motivation for choosing teaching were high in order. Second, there was a positive correlation that the higher the motivation for choosing a teaching profession, the higher the self-directed learning and career adaptation, and the higher the self-directed learning, the higher the career adaptation. Third, it was found that self-directed learning of pre-service early childhood teachers partially mediated teachers' motivation for choosing teaching and career adaptability. This study is significant in that it sought various perspectives in practicing high-quality early childhood teacher education program and provided basic data on teacher education program.

• Journal of Industrial Convergence
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• v.18 no.2
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• pp.37-44
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• 2020

This paper of descriptive-correlative design determined the effects of health perception, need of exercise and self-efficacy on the frequency of exercise among diabetic patients. A total of 86 questionnaires were retrieved from these groups of diabetic patients, who regularly visits endocrinology clinics and accomplished voluntarily the major instrument distributed from two university hospitals in A city, during June to July, 2018. The result was a significant positive relationship that existed between health perception (r=.215, p=.043) and self-efficacy (r=.440, p<.001) with frequency of exercise respectively. Regression analysis revealed that the factor affecting the frequency of exercise is self efficacy (β=.440, p<.001) which illustrated to have a significant effect in the model's explanatory power at 18.4%(F=20.836, p<.001) results. This suggests that diabetic patients with a high positive health perception increase self-efficacy, their self-efficacy will help increase the frequency of exercise if further developed. Therefore, if an intervention program is developed to improve the health perception and self-efficacy education program for diabetics, it will help improve the frequency of exercise, namely diabetes management exercise.

• The Journal of the Acoustical Society of Korea
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• v.25 no.5
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• pp.246-256
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• 2006

The plane wave reflection coefficient is an acoustic property containing all the information concerning the ocean bottom and can be used as an input parameter to various acoustic propagation models. In this paper, we measure the plane wave reflection coefficient, the sound speed, thd the attenuation for saturated granular medium in the water tank. Three kinds of glass beads and natural sand are used as the granular medium. The reflection experiment is performed with the sinusoidal tone bursts of 100 kHz at incident angles from 28 to 53 degrees, and the sound speed and attenuation experiment are performed also with the same signal. From the measured reflection signal, the reflection coefficient is calculated with the self calibration method and the experimental uncertainties are discussed. The sound speed and the attenuation measurements are used for the estimation of the porosity and permeability, the main Biot parameters. The estimated values are compared to the directly measured values and used as input values to the Biot theory in order to calculate the theoretical reflection coefficient. Finally, the reflection coefficient predicted by Biot theory is compared to the measured reflection coefficient and their characteristics are discussed.

• Journal of the Korea Concrete Institute
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• v.17 no.6 s.90
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• pp.923-930
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• 2005

This paper was to evaluate the high strength lightweight self-compacting concrete(HLSCC) manufactured by Nan-Su, which main factor, Packing Factor(PF) for mixing design, has been modified and improved. We have examined HLSCC performance at its fresh condition as well as its mechanical properties at the hardened condition. The evaluation of HLSCC fluidity has been conducted per the standard of second class rating of JSCE, by three categories of flowability(slump-flow), segregation resistance ability(time required to reach 500mm of slump-flow and time required to flow through V-funnel) and filling ability(U-box test) of fresh concrete. The compressive strength of HLSSC at 28 days has come out to more than 30MPa in all mixes. The relationship between the compressive strength-splitting tensile strength and compressive strength-modulus of elasticity of HLSSC were similar those of typical lightweight concrete. Compressive strength and dry density of HLSCC at 28 days from the multiple regression analysis resulted as $f_c=-0.16LC-0.008LS+50.05(R=0.83)\;and\;f_d=-3.598LC-2.244LS+2,310(R=0.99)$, respectively.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.150-159
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• 2015

This study attempted to test the scale effect of MAUP, particularly focusing on the spatial autocorrelation of sex crime, correlations among neighborhood structural variables, and causal mechanism leading to sex crime. Analysis results of nation-wide Eup-Myon-Dong and Si-Gun-Gu data discovered that the spatial autocorrelation, correlations among independent variables, and determinant coefficient of multiple regression of Si-Gun-Gu level were generally bigger and stronger than those of Eup-Myon-Dong, which appeared to be due to the averaging effect. Regarding the causal effect to sex crime, two interesting results were found: First, the ratio of non-apartment residency lowered sex crime at both levels contrary to the hypothesis. Second, the ratio of food and lodging increased sex crime only at Eup-Myon-Dong level. These suggested that future research need to perform more detailed analyses dividing data into subsets such as urban vs. rural and/or economically advantaged vs. disadvantaged areas.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.399-408
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• 2018

This study was examined to confirm the influence of personality traits, social support, and career decision self-efficacy on career preparation behavior in nursing college students based on the social recognition career self-management model. The subjects were nursing students attending 3rd and 4th grade in two nursing colleges in Gwangju and Chonnam area. The 208 data collected were analyzed by descriptive statistics, Pearson's correlation analysis, and multiple regression analysis with SPSS 23.0 for windows. Personality traits, social support, and career decision self-efficacy were positively correlated with career preparedness behaviors. Conscientiousness and career decision self-efficacy were reported to have a statistically significant effect on career preparation behavior. Extraversion and social support were reported to have no statistically significant effect on career preparation behavior. These findings suggest that in order to promote career preparation behavior of nursing college students, the strategies to improve conscientiousness and career decision self-efficacy should be provided in nursing education field.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.513-522
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• 2020

The purpose of this study is to analyze the auto-regression effect between the elderly's assets and depression and life satisfaction, and to approach the influence of assets and depression on the elderly's life from a longitudinal perspective. For this purpose, the data for the 9th year (2014), 11th year (2016), and 13th year (2018) of the Korea Welfare Panel were used. As a result of the analysis, First, the assets, depression and life satisfaction of the elderly have a lasting effect on the passage of time, and the assets, depression and life satisfaction of the previous point in time (B=.694, B=.725, p<.001), depression (B=.258, B=.331 and p<.001) and life satisfaction (B=.264, B=.265, p<.001). Second, cross-recursion coefficients show how the relationship between the assets of the elderly and depression and the satisfaction of life affects each other over time, and the assets of the older person at the previous point in time (B=.010, B=.011, p<.001), the assets of the older persons at previous times are subsequently satisfied with their lives (B=.128, B=.124, p<.001). Based on the results of the above analysis, it is necessary to support the elderly's asset management service and education to prevent depression, such as continuous asset utilization education.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.207-216
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• 2019

The purpose of this study was to examine to identify factors affecting wellness of workers. This study collected questionnaire data from 172 workers from two large workplaces more than 1,000 workers are located in G city. Data were analyzed using descriptive statistics, Pearson correlation coefficient and Hierarchical regression with IBM SPSS statistics 20.0 program. Wellness of worker was correlated with exercise self-efficacy(r=.23, p<.05), autonomous motivation(r=.38, p<.001), exercise behavior(r=.61, p<.001). Hierarchical regression analysis showed that exercise self-efficacy(${\beta}=.34$, p<.001), exercise behavior(${\beta}=.30$, p<.001), subjective health status(${\beta}=-.23$, p<.001), subjective economic status(${\beta}=-.13$, p=.016) explained 57.3%(F=39.29, p<.001) of wellness of workers. Based on the finding, there is a need to develop an intervention program that consider exercise self-efficacy, exercise behavior, subjective health status and subjective economic status.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.1-18
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• 2019

This research measured and visualized the spatial dependency and the spatial heterogeneity of the small business in Cheonan-si, Asan-si with $100m{\times}100m$ grids based on global and local spatial autocorrelation. First, we confirmed positive spatial autocorrelation of small business in the research area using Moran's I Index, which is ESDA(Exploratory Spatial Data Analysis). And then, through Getis-Ord $GI{\ast}$, one kind of LISA(Local Indicators of Spatial Association), local patterns of spatial autocorrelation were visualized. These verified that Spatial Regression Model is valid for the location factor analysis on small business commercial buildings. Next, GWR(Geographically Weighted Regression) was used to analyze the spatial relations between the distribution of small business, hourly mobile traffic-based floating population, land use attributes index, residence, commercial building, road networks, and the node of traffic networks. Final six variables were applied and the accessibility to bus stops, afternoon time floating population, and evening time floating population were excluded due to multicollinearity. By this, we demonstrated that GWR is statistically improved compared to OLS. We visualized the spatial influence of the individual variables using the regression coefficients and local coefficients of determinant of the six variables. This research applied the measured population information in a practical way. Reflecting the dynamic information of the urban people using the commercial area. It is different from other studies that performed commercial analysis. Finally, this research has a differentiated advantage over the existing commercial area analysis in that it employed hourly changing commercial service population data and it applied spatial statistical models to micro spatial units. This research proposed new framework for the commercial analysis area analysis.