• Anxiety and mood
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• v.16 no.1
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• pp.1-8
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• 2020

Objective : This study aims to examine the association between exposure to suicide events and suicide ideation by analyzing the levels of suicide ideation among the groups with exposure to suicide death, non-suicide death, and no death in their social relationships. Methods : Data were derived from Wave I of the Longitudinal Study of Suicide Survivors' Mental Health. 1,998 adults nationwide selected using a stratified sampling method based on the Korean Census Data, were categorized into 3 groups with exposure to suicidal death, non-suicidal death, and no death. The levels of depression (Brief CES-D), subjective health status, and suicidal ideation (SSI) were measured. To examine the association between exposure to suicide and the level of suicide ideation, multiple regression analysis was used after controlling the socio-demographic and clinical factors including subjective health status and depression. Results : 32% reported their exposure to suicide. Compared to the other groups, the suicide-exposed group's level of depression and suicide ideation were significantly higher but the subjective health status was lower. Multiple regression model revealed that suicide exposure had a statistically significant association with suicidal ideation at p=0.000 even after controlling the clinical characteristics. Conclusion : HThe findings suggest that exposure to suicide is a risk factor for suicidal ideation. In the clinical field, it is necessary to consider patients' experience in exposure to suicide while treating and intervening in suicide-related cases. At the policy level, a mental health system for suicide prevention should consider this risk factor for those exposed to suicide in their family and social relationships.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.3
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• pp.306-311
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• 2005

To analyze the consumer's purchase pattern, we must consider a factor which is a cultural, social, individual, psychological and so on. If we consider the internal state by the consumer's purchase, Both the consumer's purchase action and the purchase factor can be predicted, so the corporation can use effectively in suitable goods development in a consumer's preference. These factors need a technology that treat uncertain information, because it is difficult to analyze by directly information processing. Therefore, bayesian network manages elements those the observation of inner state such as consumer's purchase is difficult. In addition, it is interpretable about data that the observation is impossible. In this paper, we examine the seller's know-how and the way of consumer's purchase to analyze consumer's purchase action pattern through goods purchase. Also, we compose the bayesian network based on the examined data, and propose the method that predicts purchase patterns. Finally, we remove the data including unnecessary attribute using the bayesian network, and analyze the consumer's Purchase pattern using Kohonen's SOM method.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.1-12
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• 2017

The competition to acquire customers with repurchase intention is getting more and more intense in the saturated smartphone market. That is why the aim of this study is to investigate the difference in purchasing determinants between various age groups and gender. Furthermore we aimed to analyze which of the purchasing determinants influence repurchase intention. In order to gather information we conducted a survey on 252 respondents. We selected 5 purchasing determinants (A/S, H/W, switching cost, network effect and design) by conducting factor analysis and validity analysis. Then we analyzed how respondents of different age groups and gender perceived different purchasing determinants and analyzed the influence purchasing determinants have on repurchase intention. As for analyzing the difference of purchasing determinants throughout various age groups, the H/W, A/S, network effect showed a notable difference. The older respondents tended to consider H/W, A/S, network effect more importantly than younger respondents. When it came to comparing the results depending on the gender, male respondents tended to consider H/W factor more importantly compared to female respondents and the opposite was true for other factors such as A/S, switching cost, design, and network effect but there weren't any significant differences. Finally, out of various determinant factors, network effect and design turned out to have a considerable influence on repurchase intention. That is why it would be highly appropriate to say that if a company intends to boost repurchase intention, enhancing network effect and developing an effective design would be crucial. This study differs from other existing researches in that we analyzed respondents from different age groups and gender separately. Also unlike other researches we directly analyzed the influence purchasing determinants have on repurchase intention not customer satisfaction. This study is expected to serve as basic information that can be used to establish strategies both in an academic and practical level, allowing companies to boost the repurchase intention of the smartphone market.

• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.45-57
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• 2010

The costume in musical is an important visual factor that contributes to the level of stage completion by for the character and overall atmosphere of the whole play. Besides, as if it is has a fixed times in the drama, it has to produce to consider an opinion of producer to express the theme, atmosphere of a play and especially in the period adventure drama, to revive as it is historical dress, there is not creation at stage of today. This research is studied into the stage costume of the musical 'Jekyll and Hyde' an adapted to express image of good and evil in the one character. For this research, it researched costume of Victoria period in England, study character of main actor by analysis of the play in an original work, examine the stage costume of the musical 'Jekyll and Hyde' performed in the inside and outside of the country. In the musical stage costume, by character difficult of stage costume, factor of design feature divided to good and evil and compare feature design of stage costume, research new design express method to consider musical acting, moreover through designing and producing the costume to be suitable for the content of the work. This research consists of research and actual production of work, study of documentary records, collection and analysis of overseas performances, news releases, video material and internet research were the methods of this study.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.627-641
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• 2012

We consider a model estimation and model selection methods for the multi-way contingency table data with non-response or missing values. We also consider hierarchical Bayesian model in order to handle a boundary solution problem that can happen in the maximum likelihood estimation under non-ignorable non-response model and we deal with a model selection method to find the best model for the data. We utilized Bayes factors to handle model selection problem under Bayesian approach. We applied proposed method to the pre-election survey for the 2004 Korean National Assembly race. As a result, we got the non-ignorable non-response model was favored and the variable of voting intention was most suitable.

• Journal of Korean Society of Rural Planning
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• v.24 no.4
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• pp.99-119
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• 2018

Unit load factor, which is used for the quantification of non-point pollution in watersheds, has the limitation that it does not reflect spatial characteristics of soil, topography and temporal change due to the interannual or seasonal variability of precipitation. Therefore, we developed the method to estimate a watershed-scale non-point pollutant load using seasonal forecast data that forecast changes of precipitation up to 6 months from present time for watershed-scale water quality management. To establish a preemptive countermeasure against non-point pollution sources, it is possible to consider the unstructured management plan which is possible over several months timescale. Notably, it is possible to apply various management methods such as control of sowing and irrigation timing, control of irrigation through water management, and control of fertilizer through fertilization management. In this study, APEX-Paddy model, which can consider the farming method in field scale, was applied to evaluate the applicability of seasonal forecast data. It was confirmed that the rainfall amount during the growing season is an essential factor in the non-point pollution pollutant load. The APEX-Paddy model for quantifying non-point pollution according to various farming methods in paddy fields simulated similarly the annual variation tendency of TN and TP pollutant loads in rice paddies but showed a tendency to underestimate load quantitatively.

• Journal of the Korea Institute of Building Construction
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• v.19 no.2
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• pp.167-174
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• 2019

Protective facilities are the last means of ensuring the survivability of personnel and assets, and there is a greater amount of matters to consider than those of general buildings. However, the Defense Military Facilities Criteria and the Ministry of the Interior and Safety, Ordinance No. 20, are only considering the expected enemy threats. In this study, we use objective and statistical methods to refine the consideration of the required capacity of protection based on the opinions of the experts. Specifically, the study adopts the Delphi technique associating the experts related to 30 defense military facilities criteria. The first-round questions were open-ended, and it compiled the points to consider related to the bulletproof and explosion - proof design. The second questionnaire was applied as closed questionnaire with 7 points scale methods. As a result of the factor analysis on the opinions of the experts, it was confirmed that the protection requirement level was due to METT + TC.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.1
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• pp.43.1-43.1
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• 2021

In this study, we suggest a new method to estimate the mass of a halo coronal mass ejection (CME) using synthetic CMEs. For this, we generate synthetic CMEs based on two assumptions: (1) the CME structure is a full ice-cream cone, (2) the CME electron density follows a power-law distribution (ρ_cme=ρ₀r^-n). The power-law exponent n is obtained by minimizing the root mean square error between the electron number density distributions of an observed CME and the corresponding synthetic CME at a position angle of the CME leading edge. By applying this methodology to 57 halo CMEs, we estimate two kinds of synthetic CME mass. One is a synthetic CME mass which considers only the observed CME region (M_cme1), the other is a synthetic CME mass which includes both the observed CME region and the occulted area larger than 4 solar radii (M_cme2). From these two cases, we derive conversion factors which are the ratio of a synthetic CME mass to an observed CME mass. The conversion factor for M_cme1 ranges from 1.4 to 3.0 and its average is 2.0. For M_cme2, the factor ranges from 1.8 to 5.0 with the average of 3.0. These results imply that the observed halo CME mass can be underestimated by about 2 times when we consider the observed CME region, and about 3 times when we consider the region including the occulted area. Interestingly these conversion factors have a very strong negative correlation with angular widths of halo CMEs.We also compare the results with the CME mass estimated from STEREO observations.

• The Korean Journal of Franchise Management
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• v.8 no.1
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• pp.31-41
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• 2017

Purpose - As the domestic coffee market is rapidly growing and competition is intensifying, coffee shops need to establish a marketing strategy that grasps the needs and desires of consumers in order to secure a competitive advantage in terms of survival. From this point of view, this study suggests what choice attributes consumers consider when visiting coffee shops, and analyzes the effect of customer choice attributes on franchise and private coffee shops using fsQCA. Research design, data, and methodology - In the present study, we tried to understand the effect of the combination of choice attribute on satisfaction by the type of coffee shop based on the complex system theory, while studying the existing coffee shop choice attribute focuses on the causal relationship. FsQCA is a complementary analytical method between quantitative and qualitative research, and is a method for effectively analyzing the complex combination of causal variables. Result - The results of the study are as follows. First, cleanliness was found to be the most important factor in determining coffee quality, which is the most important factor affecting customer satisfaction. Second, customers who prefer franchise coffee shops seem to be most concerned about atmosphere, menu, cleanliness and price. On the other hand, customers who prefer private coffee shops consider image the most important. Conclusions - The implications of this study are as follows. Overall, coffee shops should manage cleanliness basically regardless of the type of store, but they should manage the choice attributes differently depending on the type of coffee shop. Franchise coffee shops will be able to increase the level of store satisfaction by systematically managing the store atmosphere, menu, cleanliness, and price according to the manual using the advantages of the franchise system. On the other hand, unlike the franchise coffee shops, private coffee shops can operate autonomous stores, so customers can use various marketing mixes to enhance their store image.

• The Journal of Korean Society for Radiation Therapy
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• v.14 no.1
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• pp.79-84
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• 2002

The main cause factor for effective the output, especially in small & irregular shaped field of electron beam therapy, are collimation system, insert block diameter and energy. In the absorption deose of treatment fields, we should consider the lateral build-up ratio (LBR), which the ratio of dose at a point at depth for a given circular field to the dose at the same point for a 'broad-field', for the same incident fluence and profile. The LBR data for a small circular field are used to extract radial spread of the pencil beam, ${\sigma}$, as a function of depth and energy. It's based on elementary pencil beam. We consider availability of the factor, ${\sigma}$, in the small & irregular fields electron beam treatment.