• Spatial Information Research
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• v.8 no.1
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• pp.141-153
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• 2000

The purpose of this study is to develop and apply spatial landslide information system using Geographic information system (GIS) in concerned with spatial data. Landslide locations detected from interpretation of aerial photo and field survey, and topographic , soil , forest , and geological maps of the study area, Yongin were collected and constructed into spatial database using GIS. As landslide occurrence factors, slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective thickness of soil were extracted from the soil database, and type, age, diameter and density of wood were extracted from the forest database. Lithology was extracted from the geological database, and land use was classified from the Landsat TM satellite image. In addition, landslide damageable objects such as building, road, rail and other facility were extracted from the topographic database. Landslide susceptibility was analyzed using the landslide occurrence factors by probability, logistic regression and neural network methods. The spatial landslide information system was developed to retrieve the constructed GIS database and landslide susceptibility . The system was developed using Arc View script language(Avenue), and consisted of pull-down and icon menus for easy use. Also, the constructed database can be retrieved through Internet World Wide Web (WWW) using Internet GIS technology.

• Management & Information Systems Review
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• v.32 no.2
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• pp.21-46
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• 2013

The purpose of this paper is to find impacts of financial activities-financing and investment of Venture Firms during pre-listing periods on the firms' Venture Firm's listing(delisting). The several ratios financial variables relevant to the financing and investment were examined whether there are difference or not between two venture firms groups. The results of study can be summarized as follows. First, the firms of successful group have fewer numbers of equity financing and higher times of premium in issuing stocks than those of failed firms but there is no significant difference in the required time from startup to listing the KOSDAQ. Second, there is no significant difference in the ratio of capital increase in IPO between two groups but additional survey reveals that the successful firms financed equity in IPO by higher numbers of premium than failed firms, which can makes the major shareholder of the successful firms maintain high rayios share of stock. Third, the ratio of working capital investment of the successful firms is significantly higher than that of failed firms, on the other hand the failed firms' ratios of equipment and repayment investment are higher than those of successful firms. Finally, the ratio of R&D investment has no difference between two groups, this result is against the expectation, which is to be further analyzed.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.145-154
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• 2012

Recently, the cardiovascular disease has increased by causes such as westernization dietary life, smoking, and obesity. In particular, the acute myocardial infarction (AMI) occupies 50% death rate in cardiovascular disease. Following this trend, the AMI has been carried out a research for discovery of risk factors based on national data. However, there is a lack of diagnosis minor suitable for Korean. The objective of this paper is to develop a classifier for short-term relapse mortality prediction of cardiovascular disease patient based on prognosis data which is supported by KAMIR(Korea Acute Myocardial Infarction). Through this study, we came to a conclusion that ANN is the most suitable method for predicting the short-term relapse mortality of patients who have ST-segment elevation myocardial infarction. Also, data set obtained by logistic regression analysis performed highly efficient performance than existing data set. So, it is expect to contribute to prognosis estimation through proper classification of high-risk patients.

• Journal of Hospice and Palliative Care
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• v.19 no.3
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• pp.233-239
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• 2016

Purpose: Little is known regarding the factors associated with the willingness of family caregivers of terminal cancer patients to participate in a bereaved survey. This study aimed to ascertain the pre-loss factors that predict actual participation in a bereaved survey. Methods: We conducted a prospective observational study using data from two multi-center surveys at the end-of-life and after loss. In order to identify the pre-loss factors associated with participating in the bereaved survey, we used a step-wise multivariate logistic regression analysis. Results: Among 185 bereaved individuals, 30 responded to the survey (response rate: 16.2%). There were differences between the participation group and the non-participation group regarding religion, economic status, and perceived quality of care as assessed by the Quality Care Questionnaire-End of Life. A final multivariate model revealed that bereaved individuals who professed a religion (adjusted odds ratio [aOR]=5.01; P=0.008), had a high income (aOR=4.86, P=0.003), and satisfied with the care for familial relationship (aOR=4.49, P=0.003) were more likely to engage in the bereaved survey. Conclusion: Our finding suggests that improving the quality of end-of-life care may promote actual participation in a bereaved survey through easing post-loss distress. More attention should also be paid to those bereaved individuals who are hesitant to participate in a bereaved survey.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.2
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• pp.107-116
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• 2013

This study is intended to predict variations in future land use/land cover(LULC) based on the representation concentration pathway(RCP) storyline that is a new climate change scenario and to analyze how future climate and LULC changes under RCP scenario affects streamflow in the basin. This study used climate data under RCP 4.5 and 8.5 and LULC change scenario is created by a model that is developed using storyline of RCP 4.5 and 8.5 and logistic regression(LR). Two scenarios(climate change only and LULC change only) were established. The streamflow in future periods under these scenarios was simulated by the Soil and Water Assessment Tool(SWAT) model. Each scenario showed a significant seasonal variations in streamflow. Climate change showed that it reduced streamflow in summer and autumn while it increased streamflow in spring and winter. Although LULC change little affected streamflow in the basin, the pattern for increasing and decreasing streamflow during wet and dry climate condition was significant. Therefore, it's believed that sustainable water resource policies for flood and drought depending on future LULC are required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.201-210
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• 2012

This study was performed to determine the levels of depressive symptoms and to reveal its relationships between ADL and IADL among rural elderlies. The interviews were performed, during the period from April 1st, to June 30th, 2010, to 412 elderlies in rural areas. As a results, the distribution of ADL among all subjects were 94.7% in normal-range group, and 5.3% in impaired group. In terms of IADL, 87.4% of the subjects were normal-range group, 12.6% were impaired group. The distribution of depression group among all subjects were 38.2% in normal-range group of ADL, and 90.9% in impaired group of ADL, but it was 35.8% in normal-range group of IADL, and 76.9% in impaired group of IADL. In logistic regression analysis, the adjusted odds ratio of the depression was significantly increased in impaired group of ADL than in normal-range group of ADL(OR=23.21, 95% CI=4.38~123.05). Also it was significantly increased in impaired group of IADL than in normal-range group of IADL(OR=7.76, 95% CI=2.99~20.08). In conclusion, the depression of rural elderlies was significantly increased in impaired group than in normal-range group of ADL and IADL. Thus, strategic effort needs to be prevented to depression in impaired group of ADL and IADL.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.145-155
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• 2020

Since Campbell (1990) proposed multidimensionality of job performance, unlike the single structure of traditional job performance, it has been largely classified as task performance, contextual performance, and counterproductive work behavior. The objective of this study is to validate the threecriteria currently considered major aspects of job performance, to identify different types of performance based on three dimensions, and to compare the power of personality factors among performance types. A total of 681 employees working at various organizations participated in an on-line survey. The survey included boththe exploratory and confirmatory factor analyses. A 3-factor job performance model consisting of three dimensions was also included. The relationships between performance dimensions and personality factors differedby dimensions of performance, supporting the validity of the 3-factor structure of performance.The results of the Latent Profile Analysis identified four types of performance: exemplary, moderately conscientious moderate, and conscientious, butlow.. The Multinomial logistic regression analysis showed each type differed significantly according to the predictors of personality variables. In conclusion, implications and limitations of the study were noted.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.3
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• pp.11-19
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• 2014

This study is analyze future climate and land cover change affects behaviors for amount of streamflow and sediment discharge within basin. We used the climate forecast data in RCP 4.5 and 8.5 (2011-2100) which is opposite view for each other among RCP scenarios that are discussed for 5th report for IPCC. Land cover map built based on a social economic storyline in RCP 4.5/8.5 using Logistic Regression model. In this study we set three scenarios: one scenario for climate change only, one for land cover change only, one for Last both climate change and land cover change. It simulated amount of streamflow and sediment discharge and the result showed a very definite change in the seasonal variation both of them. For climate change, spring and winter increased the amount of streamflow while summer and fall decreased them. Sediment showed the same pattern of change steamflow. Land cover change increases the amount of streamflow while it decreases the amount of sediment discharge, which is believed to be caused by increase of impervious Surface due to urbanization. Although land cover change less affects the amount of streamflow than climate change, it may maximize problems related to the amount of streamflow caused by climate change. Therefore, it's required to address potential influence from climate change for effective water resource management and prepare suitable measurement for water resource.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.325-332
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• 2016

The purpose of this study is to investigate the attributes influencing the prevalence of metabolic syndrome and develop the prediction model for metabolic syndrome over 40-aged people from Korea Health and Nutrition Examination Study 2012. The researcher chose the attributes for prediction model through literature review. Also, we used the decision tree, logistic regression, artificial neural network of data mining algorithm through Weka 3.6. As results, social economic status factors of input attributes were ranked higher than health-related factors. Additionally, prediction model using decision tree algorithm showed finally the highest accuracy. This study suggests that, first of all, prevention and management of metabolic syndrome will be approached by aspect of social economic status and health-related factors. Also, decision tree algorithms known from other research are useful in the field of public health due to their usefulness of interpretation.

• Journal of the Economic Geographical Society of Korea
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• v.1 no.1
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• pp.57-74
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• 1998

Recently. the interest in Physical distribution has increased in economic geography This paper aims to review and prospect the internatonal physical distribution studies of international trade and international freight flows. And it has examined the changes in methodology of international physical distribution. Author has defined international physical distribution as the physical distribution of international trade and international freight flow The results are as follows : (1) As the methodology of international physical distribution studies developes, the physical distribution should be recognized not only as transportation phenomenon but also as total logistics which is understood as the combination of production and consumption including information flow. (2) The studies about model of international physical distribution flow ill need to study regional relations including urban, in the future. And economic geography and location theory adding culture and behaviour elements will be restructured, because not only state but also multinational corporation appear as trade subject in global economy. (3) The studies for the relation of habor and its hinterland in Physical distribution need to analyze the factors causing habor use with decision-making behaviour of corporation. (4) After oil crisis. as air freight is important, the studies for hinterland and foreland of freight centering international airport are needed because of necessity of light and small freight. flexible Production system, free trade, and high speed freight transportation of freshing food and flowers and so forth.