• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.268-276
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• 2015

A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.

• Child Health Nursing Research
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• v.12 no.4
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• pp.514-522
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• 2006

Purpose: The purpose of this study was to identify the factors of child behavioral problems and construct a descriptive model that explains child behavioral problems for school age children. Method: The participants in the study were 586 4th, 5th, 6th graders and their mothers. The children attended 8 elementary schools located in Taejon city and their mothers. The tools used in this study was the Mother's Child Raising Behavior Scale by Park, Seong-Yeon and Yi, Sook(1990). To measure child's self esteem, the Self Esteem Scale by Kim(1987) was used; child perceived social support was measured with the Social Support Evaluation Scale by Dubow and Ullman(1989), and childhood behavioral problems were measured with the Korean standardized of version of the Korean-Child Behavior Checklist(K-CBCL)(1997). Descriptive statistics and linear structural relationship(LISREL) modeling were used to analyze the data. SAS and LISREL 8.12a programs were used. Results: The overall fit of the hypothetical model to the data was good $>X^2=103.07(p=0.00)$, GFI=0.96, AGFI=0.94, RMSR=0.04, RMSEA=0.07, NFI=0.94, NNFI=0.95< Maternal child raising behaviors(T=2.21) and child perceived social support(T=10.29) had a significant, direct effect on a child's self esteem. Maternal child raising behaviors(T=-3.87), and child self esteem(T=-2.04) and had a significant total effect on child behavioral problems. These variables accounted for 63% of the variance of the child behavioral problems in the school age children. Conclusion: These finding have provided support for maternal child raising behaviors, child perceived social support, and child self esteem as predictive variables of behavioral problems in school age children.

• Journal of Korean Public Health Nursing
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• v.26 no.2
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• pp.303-313
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• 2012

Purpose: This study was conducted to examine the correlation between social support, loneliness, sleep quality, and perceived health status among community-dwelling older adults. Methods: Older adults who lived in urban and rural local communities were taken into account. Among them, 396 people participated in this study. Path analysis was conducted in order to verify the study model and its verification. SPSS WIN 18.0 and AMOS17.0 were used for analysis of collected data. Results: The results showed that social support had a significant effect on perceived health status (${\beta}$=.17, p= .003) and loneliness (${\beta}$=-.56, p<.001), while loneliness had a significant effect on perceived health status (${\beta}$=-.12, p=.045) and sleep quality (${\beta}$=.20, p<.001). In addition, the results also indicated that sleep quality had a significant influence on perceived health status (${\beta}$=-.16, p <.001). According to results derived from the model, Chi-square=.359, df=1 NC=.359, CFI=1.0, NFI=0.98, RMSEA=.000; thus, the model was shown to be significant. Conclusion: For maintenance of the health of the aged, social support, loneliness, and sleep quality should be secured; in order to realize this, an effort should be made toward health promotion while providing the aged with more social attention.

• Research in Community and Public Health Nursing
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• v.13 no.2
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• pp.292-305
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• 2002

Purpose: The purpose of this study was to conduct a systematic assessment on the level of health status, and quality of life of the health care beneficiaries registered in health management programs of public health centers. In order to investigate the level of health status and the quality of life and to find factors affecting them, the PRECEDE model, that was developed by Green, et al. for the purpose of a comprehensive diagnostic research, was used. Method: The subjects were 81 residents who resided K-gu, Seoul. Data were collected from September, 1999 to August, 2000 using a self reported questionnaire. The data were analyzed by descriptive statistics, t-test, Kruskall-Wallis test, Pearson's correlation coefficient. and path analysis. Results: 1. The quality of life and the level of health promoting lifestyle were moderate or more, but were not significantly different by sex, age, marital status, educational level. occupation, and monthly household income. 2. Self-efficacy was significantly correlated to be a perceived benefit, social support and health-promoting lifestyle. Perceived benefit had a significant correlation with social support and health promoting lifestyle. There was also a significant correlation between the level of satisfaction, and the availability of the health promotion program. 3. Social support, health promoting lifestyle, and health status were found to influence the quality of life directly, whereas self efficacy and perceived benefit affected the quality of life indirectly through social support. Conclusion: The results of this study suggest that the health promotion program should include strategies to strengthen self efficacy and perceived benefit to enhance social support, and to encourage health promoting behaviors in order to improve the quality of life of the health care beneficiary.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.558-576
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• 2020

The purpose of the research was to verify the mediating effect of social support and cognitive emotional regulation strategy when office worker's emotional expressive ambivalence influences on interpersonal stress. A survey was conducted with 422 office workers from August to September of 2018. SPSS, AMOS and Mplus were used for descriptive statistics, correlation analysis, verification of structural equation modeling and mediated effect. There was a partial mediating effect in emotional expressive ambivalence of self-defense model, a complete mediating effect in relational emotional expressive ambivalence model. In both self-defense and relational emotional expressive ambivalence model, double mediation effect of passing through support and cognitive emotional regulation strategy in the relationship between emotional expressive ambivalence and interpersonal stress was significant. This study sought ways to reduce interpersonal stress by increasing the level of perception of social support and using adaptive cognitive emotional control strategies for office workers.

• Spatial Information Research
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• v.5 no.2
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• pp.185-194
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• 1997

Spatial decision support systems(SDffi), a new class of decision support system(DSS), result from the melding together of GIS and DSS, Planning support systems(PS5) add more advanced spatial analysis functions than GIS and intertemporal functions to the functions of SDSS. This paper reports the development of a planning support system providing a framework that facilitates urban planners and civil engineers in conducting coherent deliberations about the generation of satisficing sewers. 1he planning support system for the generation of satisficing sewers(PS5/GSS) was designed from the understanding that land use and development drive the demand for storm and sanitary sewers. Through four stages of supply, demand, alternative generation, and evaluation, PSS/GSS integrates basic planning, preliminary design, and engineering design of sewer. GIS and graphic user interface are excellent toolboxes for designing sewer networks, estimating the quantity of wastewater, and showing generated alternative sewers. A sewer model using simulation tedmique can generate an initial sewer. Users can define alternative sewers by the direct manipulation of sewer networks or by the manipulation of parameters in the sewer model. The sewer model evaluates the performance of the user defined alternatives.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.543-551
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• 2019

The purpose of this study was to examine the fitness of a Path model to represent relations between stress, social support, depression, and suicidal ideation in middle-aged males. The participants were 236 middle-aged males, and data were collected from April 11 to June 1, 2018. The analysis was performed using descriptive statistics and Pearson's correlations in PASW Ver. 21.0, and AMOS Ver. 18.0 (a statistical structural equation modeling program), fitness characteristics of the final model were RMSEA 0.05, GFI 0.98, AGFI 0.95, and NFI 0.98. The major study results were as follows. First, stress had a direct effect on depression and drinking, and social support had a direct effect on depression. Second, stress and social support both directly affected suicidal ideation. Results also suggested depression had partial mediating effects on relations between stress, social support, and suicidal ideation. We suggest a program be devised to reduce suicidal ideation by middle-aged males. It is hoped our results will provide basic data for future studies.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.9-21
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• 2023

The recent conflict between Russia and Ukraine underscores the significant of military logistics support in modern warfare. Military logistics support is intricate and specialized, and traditionally centered on the mission-level operational analysis and functional models. Nevertheless, there is currently increasing demand for military logistics support even at the engagement level, especially for resupply using unmanned transport assets. In response to the demand, this study proposes a task model of the military logistics support for engagement-level analysis that relies on the logic of ammunition resupply below the battalion level. The model employs a decisions tree to establish the priority of resupply based on variables such as the enemy's level of threat and the remaining ammunition of the supported unit. The model's feasibility is demonstrated through a combat simulation using OneSAF.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.1
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• pp.34-41
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• 2016

Purpose: This study was conducted in order to explore the factors affecting the hope in nursing students. Methods: A total of 166 nursing students participated in the study. Data was analyzed using SPSS WIN 18.0. Results: The mean scores for social support, self-efficacy, and hope were above-average level. There were significant mean differences in hope according to religion, academic achievement, and satisfaction with nursing majors. Hope correlated positively with social support and self-efficacy. The significant predictors of hope included social support and satisfaction with the nursing major. The regression model explained 12.7% of hope. Conclusion: To improve hope in nursing students, nursing educators should focus on promoting their social support and satisfaction with the nursing major.

• Korean Journal of Organic Agriculture
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• v.24 no.4
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• pp.645-663
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• 2016

The purpose of this study was to look at the mediating effect of social support and interests on the relationship between characteristics of agricultural education program and word of mouth intentions. As a results of analysis of structural model, first, social support had a mediating effect on the relationship between characteristics of agricultural education program and word of mouth intentions. Second, interests had a mediating effect on the relationship between characteristics of agricultural education program and word of mouth intentions. The results highlight the importance of promoting social support and individuals' interests on the agricultural education program to increase the word of intention for agricultural education program. This eventually leads the revitalization and development of agricultural education.