• Journal of the Korean Data and Information Science Society
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• v.18 no.4
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• pp.985-994
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• 2007

We note that the time of adolescents is very important time for obtaining informations about their jobs, exploring and making appropriate their career decision. In order to understand the career decision level of adolescents, we needed a study on effects of personal variables and family variables affecting the career decision level. For this, we provide direct, indirect and total effects of family variables and personal variables on the career decision level using the path analysis. Therefore, in this study, we give the real usefulness for making a different diagnosis and strategy solving some problems of career decision level.

• Journal of Environmental Science International
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• v.30 no.7
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• pp.519-527
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• 2021

Moving average precipitation provides periodic precipitation patterns by solving precipitation irregularities. However, due to uncertain moving average periods, excessive data smoothing occurs, which limit the possibility to analyze groundwater levels in the short term. Nonetheless, groundwater level fluctuation can compensate these limitations as it can calculate appropriately for unit time and verify the effect of precipitation penetrated into groundwater in a short time period. In this study, the characteristics of groundwater level were evaluated using groundwater level fluctuation to compensate for limitations of groundwater level analysis using moving average precipitation. In addition, the groundwater quality was investigated using the electrical conductivity fluctuation. The study site was Hyogyo-ri, Yesan-si, Chungcheongnam-do. Four observation wells and an automated weather system were used. The correlation between groundwater level fluctuation and precipitation (Case 1) and the correlation between groundwater level and moving average precipitation (Case 3) were compared. In the analysis for 1 hour data, the correlation coefficient of Case 1 was higher than that of Case 3, and in the analysis for 1 day data, the correlation coefficient of Case 3 was higher than that of Case 1.

• Health Policy and Management
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• v.25 no.1
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• pp.31-39
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• 2015

Background: The purpose of this study is comparison of the results between regression and multi-level analysis to find out factors influencing outcome indicators (in-hospital death, length of stay, and medical charges) of stroke patients. Methods: By using patient sample data of Health Insurance Review & Assessment Service, patients admitted with stroke were selected as survey target and 15,864 patients and 762 hospitals were surveyed. Results: For the results of existing regression analysis and multi-level analysis, models were assessed through model suitability index value and as a result, the value of results of multi-level analysis decreased compared to the results of regression, showing it is a better model. Conclusion: Factors influencing in-hospital death of stroke patients were analyzed and as a result, intra-class correlation (ICC) was 13.6%. In factors influencing length of stay, ICC was 11.4%, and medical charges, ICC was 17.7%. It was found that factors influencing the outcome indicators of stroke patients may vary in every hospital. This study could carry out more accurate analysis than existing research findings through analysis of reflecting structure at patient level and hospital level factors and analysis on random effect.

• Journal of Korean Society of Steel Construction
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• v.20 no.2
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• pp.259-268
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• 2008

This paper proposes a method to establish an optical lifetime maintenance strategy for deteriorating bridges in consideration of life-cycle performance and cost. A program is developed based on the proposed method, which can generate optimum maintenance scenarios not only at the individual member level but also at the system level of the bridge. By applying the developed program is studied through the comparative analysis of maintenance strategies generated at each level. According to the results of comparison between maintenance strategies of the member-level analysis and system-level analysis. It is expected that the establishment of a maintenance strategy through the bridge system-level analysis considering target, members reflects practical and reasonable results.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.2168-2180
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• 2014

In this paper, a generalized power loss algorithm for multilevel neutral-point clamped (NPC) PWM inverters is presented, which is applicable to any level number of multilevel inverters. In the case of three-level inverters, the conduction loss depends on the MI (modulation index) and the PF (power factor), and the switching loss depends on a switching frequency, turn-on and turn-off energy. However, in the higher level of inverters than the three-level, the loss of semiconductor devices cannot be analyzed by conventional methods. The modulation depth should be considered in addition, to find the different conducting devices depending on the MI. In a case study, the power loss analysis for the three- and five-level NPC inverters has been performed with the proposed algorithm. The validity of the proposed algorithm is verified by simulation for the three-and five-level NPC inverters and experiment for three-level NPC inverter.

• Korean Journal of Health Education and Promotion
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• v.6 no.2
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• pp.4-22
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• 1989

This study aims to explore the relationship between housewives' health KAP level and the physical health of families. The data used in this study are obtained from the Last Evaluation Program of the National Note for Health surveyed in July, 1989. The respondents for this study are 770 housewives residing in Chunan and Buan. The reason why this study focus on KAP level of housewives is to find out whether a housewife as a emotional supporter contributes to the physical health of her families. A housewife gives her families emotional satisfaction insteade of economic satisfaction. So she has the most interest in family health among the members of her family. Therefore, housewife's KAP level will influence her family health. The independent variables chosen for the analysis are the general characteristic variables and KAP level. And the dependent variable is the physical health of families which excluded psychosocial one. This level of family health includes weight for family health and seriouseness of disease. The result of this study was summarized as follows. (1) KAP level was significantly correlated with variables which have mainly the socioeconomic characteristics. The variables were: area of residence, education level occupation, self assessment on wealth, and exposure to mass communication. (2) In the analysis of relationship between the general characteristic variables and family health, family health was significantly correlated with almost all variables. The variables were: Presence of the aged, Health status, Experience in disease, Self assessment on health, No. of families, Occupation, Education level, Self assessment on wealth, Concern on health, and Exposure to mass communication. (3) In the analysis of relationship between family health and KAP level, family health was not significantly correlated with KAP level but. (4) Also in the stepwise regression analysis, the general variables account for about 32.1 percent of the variance in the dependent variable, family health. The variable with the greatest explanatory power was presence of the aged. On the contrary, KAP level explain about 0.4 percent of the variance in the dependent variable. In sum, the study shows that housewives' health KAP level has relatively weak relationship with the physical health of families

• Journal of the Korean Society for Precision Engineering
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• v.18 no.12
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• pp.110-115
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• 2001

In this paper, a multiple comparison was proposed to minimize the amount of coolant. And new coolant level, called "low level", was suggested to show usefulness of multiple comparison for experiments. The amount of this levee is about 1/4 of conventional coolant amount-called "high level", and dry cutting is called "none level". Using these coolant levels, the cutting temperatures of each coolant level in turning process were analyzed by analysis of variance(ANOYA)-test and a multiple comparison. As the result of ANOVA-test, we have just known that the average of temperature of each coolant level is not equal. However by Tukey's HSD, one of multiple comparison. it was analyzed that the average of temperature of low level is similar to that of high levee and different from that of none level.erent from that of none level.

• Journal of Fashion Business
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• v.20 no.4
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• pp.36-49
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• 2016

The objective of this study was to examine the effects of appearance management behaviors on career decision level among female college students. Based on previous studies on appearance management behaviors and career decision level, the items for a questionnaire were developed. For the study, we conducted a questionnaire survey among 292 students from women's university in Seoul. Factor analysis, correlation analysis and multiple regression analysis were performed using SPSS statistics 23. Results of this study are as follows. First, the factor structure of appearance management behavior had three factors: 'fashion & hair,' 'skin & plastic surgery,' and 'body shape.' The reliability and validity of the factor structure were proved. Second, a significant correlation was found between sub-factors in appearance management behaviors. Career decision level showed a significant correlation only with body management factor. Third, the appearance management behavior of female college students was found to have a partially significant effect on career decision level. For higher grade students, fashion & hair factor and body shape factor had positive effects on career decision level. For lower grade students, body shape factor had a positive effect on career decision level while skin & plastic surgery factor had a negative effect on career decision level. Therefore, to increase career decision level, managing appearance through keeping fit body shape is crucial. This study also suggests that as one elevates to a higher grade, the importance of management and keeping interest toward fashion is important.

• Journal of Distribution Science
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• v.12 no.8
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• pp.103-112
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• 2014

Purpose - There have been local government systems since June 1955. Many local governments have made use of festivals for regional public relations and the achievement of competitiveness. This study analyzes effective components of local festivals. There has been extensive research in relation to variables such as participation motivation, satisfaction level, recall intention, royalty, and recommend purpose. However, as a variable factor, attachment to the participation motivation of a festival has been overlooked along with support level to a festival. This study has added new variables named "attachment to local society" and "support level," which are dependent variables. We will study the relationship of these two variables. Research design, data, and methodology - This study has devised a cause-and-effect relationship model, which deduces that local residents' participation motivation for the festival will have positive influence on the festival support level and satisfaction level. We circulated questionnaires to local residents to get the data required to prove the hypothesis. To analysis the data, we used SPSS 21.0, and accomplished basic analysis through the analysis of frequency as well as descriptive statistical analysis. Further, we verified our measurement tools through reliability analysis, and examined the research hypothesis through multiple regression analysis. Results - With regard to the festival satisfaction level, the variables of local society attachment, festival attraction, escaping from the daily life, and family harmony have influence upon a positive effect (+) in this order. Among them, the variable of local society attachment has the greatest influence. However, in respect of support level for the festival, only the variables of local society attachment and escaping from the daily life have a valid influence on the positive effect (+), and local society attachment has relatively greater influence. In addition, not only does the festival satisfaction level affect the support level for the festival in terms of positive effect, the influence is also far-reaching, which verifies the mediating effect. Conclusions - The result shows that the local residents' satisfaction level with the Yudalsan Mountain Spring Flower Festival is comparatively high, which is due to the local society attachment. It also shows that it is difficult to create support without local residents' attachment with their area. Consequently, this study insists that the Yudalsan Mountain Spring Flower Festival should exceed its limitation as just a village-level party, in order to become a remarkable and outstanding festival, and suggests three operational implications: macro-environmental development, task environment development, and internal operational environmental development. From the macro-environmental perspective, the constant development of local culture and local business is proposed. In the task environment perspective, a new functional development for the festival is proposed. From the internal operational environmental perspective, improvements in festival operation methods are proposed. If these weak points are addressed and resolved through a more detailed approach, it will be very helpful for local government systems to operate the festival.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.236-248
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• 2024

This study aims to empirically analyze the effects of leadership level and toxic leadership on leadership performance results among male and female military leaders in the Army, and to verify whether the leader's gender has a moderating effect in this process. Additionally, by comparing and analyzing the leadership level, toxic leadership, and leadership performance results of female military leaders by position, this study seeks to examine the characteristics of female military leadership according to position. The research model was established with leadership level and toxic leadership as independent variables, leadership performance results as the dependent variable, and the leader's gender as a moderating variable. Data were collected through a survey of 216 male and female officers serving in the positions of platoon leader, company commander, and battalion commander in the Army. The collected data were analyzed using descriptive statistics, reliability analysis, correlation analysis, and hierarchical regression analysis. The results showed that leadership level had a significant positive effect on leadership performance results, while toxic leadership had a significant negative effect. The leader's gender moderated the relationship between leadership level and leadership performance results, with female leaders receiving lower evaluations than male leaders at the same level of leadership competency. Gender also moderated the relationship between toxic leadership and leadership performance results, with female leaders exhibiting the same level of toxic leadership receiving lower performance evaluations than male leaders. In the comparative analysis of female military leadership characteristics by position, the leadership level of the platoon leader and company commander groups was not significantly different from that of male soldiers, but the battalion commander group showed slightly lower leadership competency compared to male soldiers. Based on these results, this study suggests ways to improve the leadership level of female military leaders, reduce toxic leadership, and prepare support measures to strengthen the leadership competency of female military officers at the battalion commander level and above from policy, institutional, and educational perspectives.