• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.257-267
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• 2009

This study aims at diagnosing the relationship among user's security need Sufficiency, customer satisfaction and life satisfaction in electronic security system. For the achievement of this study selected electronic security system users in Seoul as a population for about 25 days from June 20$^{th}$, 2008 to July 15$^{th}$, 2008, segmented. This study selected 378 peoples by distributing 400 unities in total for each 80 peoples throughout purposive sampling method. The final 302 samples were used in statistics. Collected data was analyzed based on the aim of this study using SPSSWIN 16.0, and factor analysis, reliability analysis, stepwise multiple regression analysis and path analysis were used as statistic techniques to analyze. The conclusions are the followings; First, The higher bodily, environmental, mental, informational, and physical security need the more body and property protection satisfaction and facility customer satisfaction. The higher bodily, environmental, and mental security need the more employee service satisfaction. Second, The higher bodily, environmental, informational, and physical security need are perceived, the more influence is marked with life satisfaction and security life satisfaction. Third, The higher personal and property protection, facility, and employee service satisfaction the more security life satisfaction. Also, the higher customer service and personal and property protection satisfaction are perceived, the more influence is marked with life satisfaction. Fourth, Security need sufficiency has little influence on life satisfaction directly, but it has high influences on life satisfaction through customer satisfaction of electronic security system.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.614-619
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• 2009

This study aims at diagnosing the relationship among user's security need Sufficiency, customer satisfaction and life satisfaction in electronic security system. For the achievement of this study selected electronic security system users in Seoul as a population for about 25 days from June 20th, 2008 to July 15th, 2008, segmented Han river based in 5 areas and extracted 1 dong per each area. This study selected 378 peoples by distributing 400 unities in total for each 80 peoples throughout purposive sampling method. The final 302 samples were used in statistics. Collected data was analyzed based on the aim of this study using SPSSWIN 16.0, and factor analysis, reliability analysis, stepwise multiple regression analysis and path analysis were used as statistic techniques to analyze. The conclusions are the followings; First, The higher bodily, environmental, mental, informational, and physical security need the more body and property protection satisfaction and facility customer satisfaction. The higher bodily, environmental, and mental security need the more employee service satisfaction. Second, The higher bodily, environmental, informational, and physical security need are perceived, the more influence is marked with life satisfaction and security life satisfaction. Third, The higher personal and property protection, facility, and employee service satisfaction the more security life satisfaction. Also, the higher customer service and personal and property protection satisfaction are perceived, the more influence is marked with life satisfaction. Fourth, Security need sufficiency has little influence on life satisfaction directly, but it has high influences on life satisfaction through customer satisfaction of electronic security system.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.329-334
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• 2014

In this study, a new method that automatically segments trabecular bone for its morphological analysis using micro-computed tomography imaging was proposed. In the proposed method, the bone region was extracted using a threshold value, and the outer boundary of the bone was detected. The sphere of maximum size with the corresponding voxel as the center was obtained by applying the sphere-fitting method to each voxel of the bone region. If this sphere includes the outer boundary of the bone, the voxels included in the sphere are classified as cortical bone; otherwise, they are classified as trabecular bone. The proposed method was applied to images of the distal femurs of 15 mice, and comparative experiments, with results manually divided by a person, were performed. Four morphological parameters-BV/TV, Tb.Th, Tb.Sp, and Tb.N-for the segmented trabecular bone were measured. The results were compared by regression analysis and the Bland-Altman method; BV/TV, Tb.Th, Tb.Sp, and Tb.N were all in the credible range. In addition, not only can the sphere-fitting method be simply implemented, but trabecular bone can also be divided precisely by using the three-dimensional information.

• Korean Journal of Social Welfare
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• v.59 no.3
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• pp.147-174
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• 2007

This study examines how path dependency of working poor labor market segmented from the primary and the secondary labor market affects employment and quality of employment of working poor. It Further examines how path dependency makes working poor to remain in the labor market and makes it difficult for them to escape from a vicious poverty cycle. Data is based on the $3{\sim}7th$ Korea Labor and Income Panel Study(KLIPS). Markov's transition probability and discrete-time hazard analysis are used for analysis. This study finds that Korea labor market is divided into three parts; the primary labor market, the secondary labor market and the working poor labor market. The proportion of employed poor has been reduced, but the proportion of non economically-active working poor has been increased and has become the main group among the working poor. This shows that labor demand of working poor is fundamentally lacking and there are structural barriers that block working poor's employment itself. The regression analysis shows that the longer working poor labor market participation is, the lower poverty-exit rate. This is an evidence of vicious poverty cycle that the poor have little chance to exit from working poor labor market, once they step into it. Therefore, the longer their participation in poor labor market, the more likely they would move only within the closed working poor labor market. Consequently, it is necessary to fundamentally reform labor market structure and to alleviate negative perception and discrimination about the poor labor while activating labor demand.

• Pediatric Infection and Vaccine
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• v.24 no.3
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• pp.146-151
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• 2017

Purpose: We analyzed the risk factors affecting readmission of children with pneumonia. Methods: We retrospectively analyzed the medical records of pediatric patients admitted to the Department of Pediatrics at the Jeonju Presbyterian Medical Center from January 2007 to August 2016. We classified patients who were readmitted with pneumonia within 30 days of discharge as the readmission group and patients who were admitted with pneumonia for the first time as the first admission group. Results: Among 158 patients, the study (readmission) group included 82 patients and the control (first admission) group included 76 patients. Age, the percentage of segmented neutrophils and lymphocytes, the number of admissions in the last 12 months, the associated diseases (respiratory diseases such as asthma), and the affection of the right upper lung were analyzed as risk factors for readmission. However, based on a regression analysis, only age and associated diseases were found to be significant risk factors. The rate of readmission increased with younger age. When there were associated diseases, the rate of readmission also increased. Conclusions: Young age and associated diseases were significant risk factors for readmission for patients with pediatric pneumonia. When pediatric patients are admitted with pneumonia, if they are young and/or have associated diseases, a comprehensive approach is needed to reduce the rate of readmission with careful consideration of precise examination, treatment, timing of discharge, and follow-up.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1293-1305
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• 2016

In this paper, we develop debt collection predictive models for the person in arrears by utilizing the direct loan data of the Korea Student Aid Foundation. We suggest credit risk scorecards for overdue student direct loan using the developed 3 models. Model 1 is designed for 1 month overdue, Model 2 is designed for 2 months overdue, and Model 3 is designed for overdue over 2 months. Model 1 shows that the major influencing factors for the delinquency are overdue account, due data for payment, balance, household income. Model 2 shows that the major influencing factors for delinquency loan are days in arrears, balance, due date for payment, arrears. Model 3 shows that the major influencing factors for delinquency are the number of overdue in recent 3 months, due data for payment, overdue account, arrears. The debt collection predictive models and credit risk scorecards in this study will be the basis for segmented management service and the call & collection strategies for preventing delinquency.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.2
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• pp.74-85
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• 2012

As competition increases, ski resort managers need to search for ways to attract previous visitors or to gain new visitors through word-of-mouth. This study examined the impact of skiers' perceived value, satisfaction and self-congruity on the revisit intention and the positive word-af-mouth intention. Total respondents were also segmented into a promotion-focus and prevention-focus individuals then later examined the differences in the effect of independent variables between groups in order to suggest a managerial direction that will enhance business competency of ski resorts. Results from regression analysis showed that all independent variables utilized in this study were good predictors of two dependent variables. Specially, satisfaction was a highly significant predictor. Promotion and prevention-focused individuals were also differed in evaluating the importance of independent variables for their revisit and word-of-mouth intention. It means that self-regulatory focus is an effective variable for segmentation. More specifically, satisfaction was the only variable influencing the revisit intention for promotion-focused individuals; whereas both satisfaction and self-congruity had significant effects on the revisit intention for prevention-focused individuals. All independent variables had significant effects on the word-of-mouth intention, except self-congruity for promotion-focused individuals. This research suggests several managerial implications on the findings based on the analysis and the characteristics of the visitors.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.348-362
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• 2021

Real estate investment behavior factors are divided into profitability, risks (stability), liquidity, and regulation (deregulation) factors. The sub-attributes of the investment behavior factors are generally formative indicators. Unlike reflection indicators, formative indicators can identify not only the influence of investment behavior factors on dependent variables, but also the influence of sub-attributes on dependent variables. Therefore, theoretical and practical needs of comparing the influences of factors and sub-attributes on dependent variables has been suggested. In this study, in order to provide information that help marketing for lots shopping building, both the causality between investment behavior factors and investment intention and the causality between sub-attributes and investment intention were comparatively studied for each of the three investor groups: the whole group, the group with high investment intention and the group with low investment intention. For this purpose, a survey and multiple regression analyses were conducted on 237 existing investors in the customer DB of a company that have been developing and selling lots shopping building in the metropolitan area and Sejong City. At the factor level, the effects of profitability and regulation were significant in the whole group and the group with low investment intention, but the effects of risk and liquidity were significant in the group with high investment intention. At the sub-attribute level, all three groups showed different results.

• Korean Journal of Radiology
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• v.22 no.3
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• pp.334-343
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• 2021

Objective: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms. Materials and Methods: We retrospectively enrolled 408 patients who underwent cardiac CT between March 2010 and August 2017 and had echocardiographic examinations (240 patients with severe AS on echocardiography [the severe AS group] and 168 patients without severe AS [the non-severe AS group]). Data were divided into a training set (312 patients) and a validation set (96 patients). Using non-contrast-enhanced cardiac CT scans, AVC was segmented, and 128 radiomics features for AVC were extracted. After feature selection was performed with three ML algorithms (least absolute shrinkage and selection operator [LASSO], random forests [RFs], and eXtreme Gradient Boosting [XGBoost]), model classifiers for diagnosing severe AS on echocardiography were developed in combination with three different model classifier methods (logistic regression, RF, and XGBoost). The performance (c-index) of each radiomics prediction model was compared with predictions based on AVC volume and score. Results: The radiomics scores derived from LASSO were significantly different between the severe AS and non-severe AS groups in the validation set (median, 1.563 vs. 0.197, respectively, p < 0.001). A radiomics prediction model based on feature selection by LASSO + model classifier by XGBoost showed the highest c-index of 0.921 (95% confidence interval [CI], 0.869-0.973) in the validation set. Compared to prediction models based on AVC volume and score (c-indexes of 0.894 [95% CI, 0.815-0.948] and 0.899 [95% CI, 0.820-0.951], respectively), eight and three of the nine radiomics prediction models showed higher discrimination abilities for severe AS. However, the differences were not statistically significant (p > 0.05 for all). Conclusion: Models based on the radiomics features of AVC and ML algorithms may perform well for diagnosing severe AS, but the added value compared to AVC volume and score should be investigated further.

• Journal of Korean Home Economics Education Association
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• v.18 no.1 s.39
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• pp.65-76
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• 2006

The purposes of this study were to segment adolescents into groups by Satir's communication and self-esteem and to investigate the differences among the groups regarding impulse buying of clothing and clothing behavior. The study distributed the questionnaires to the adolescents who were high school students in seoul. The total respondents were 596. The data were analyzed by factor analysis, k-means cluster analysis, ANOVA, Duncan test, regression and ${\chi}2-test$. Factor analysis showed that impulse buying of clothing had three dimensions: sensitive aspects of products stimulation, marketing situation stimulation and non-Plan stimulation. K-means cluster analysis showed that adolescents were segmented into four groups(blame-high self esteem, placate-high self esteem, blame-low self esteem, placate-low self esteem). The four groups were significantly different in regard to three dimensions of sensitive aspects of products stimulation, marketing situation stimulation and non-plan stimulation. For example, placate-high and low self esteem groups were influenced by sensitive aspects of products stimulation and marketing situation stimulation(-). And blame-high and low self esteem groups were influenced by marketing situation stimulation.