• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.117-124
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• 2019

Recently, medical IT solutions are being provided on a distributed environment basis. In Korea, the necessity of developing a clinical decision support system that can share medical information in a distributed environment has been recognized and studied. The existing clinical decision support system is being built using only medical information of its own within the hospital. This makes it difficult for existing systems to achieve good results in terms of efficiency and accuracy of decision support. In order to solve these limitations, this paper proposes a design and implementation method of clinical decision support system based on common data model in medical field. To explain the application process of the proposed model, we describe the development scenario of the clinical decision support system for the diagnosis of colorectal cancer. We also propose the essential requirements for the development of successful clinical decision support systems. Through this, it is expected that it will be possible to develop clinical decision support system that can be used in various hospitals and improve the efficiency and accuracy of the system.

• Child Health Nursing Research
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• v.23 no.3
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• pp.279-291
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• 2017

Purpose: The aim of this study was to explore how characteristics of ADHD children affect social support for mothers, parenting stress, parenting sense of competence, coping, and quality of life. The conceptual model was based on the Lazarus and Folkman's stress-evaluation-coping theory. Methods: Data were collected 208 mothers of children with ADHD. Data were analysed using SPSS 18.0 and AMOS 18.0 programs. Results: The proposed model was good fit for the data based on the model fit indices. Parenting stress, parenting sense of competence and coping directly affected quality of life but characteristics of the children and social support had only an indirect effect. The explanatory power of these variables was 52.1%. Conclusion: The results of this study indicate that nursing strategies to increase social support for mothers with ADHD children, lowers parenting stress, improves parenting sense of competence, and guides the parents to choose appropriate coping. In particular, as social support has the strongest influence on the quality of life, it is necessary to develop nursing intervention programs that utilize social support for parents with ADHD children.

• Journal of the Korea Institute of Building Construction
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• v.11 no.3
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• pp.238-246
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• 2011

Choosing the best-performance materials is a crucial task for the successful completion of a project in the construction field. In general, the process of material selection is performed through the use of information by a highly experienced expert and the purchasing agent, without the assistance of logical decision-making techniques. For this reason, the construction field has considered various artificial intelligence (AI) techniques to support decision systems as their own selection method. This study proposes the application of a systematic and efficient support vector machine (SVM) model to select optimal exterior materials. The dataset of the study is 120 completed construction projects in South Korea. A total of 8 input determinants were identified and verified from the literature review and interviews with experts. Using data classification and normalization, these 120 sets were divided into 3 groups, and then 5 binary classification models were constructed in a one-against-all (OAA) multi classification method. The SVM model, based on the kernel radical basis function, yielded a prediction accuracy rate of 87.5%. This study indicates that the SVM model appears to be feasible as a decision support system for selecting an optimal construction method.

• Journal of the Korean Home Economics Association
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• v.48 no.8
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• pp.13-26
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• 2010

This study tested the path model with regard to how certain variables (control attribution, demand-control-support of activity, and control strategy) affected the elderly workers' subjective well-being(swb). In the path model, the exogenous variables were internal and external control attribution. We used demand-control-support of activity, and primary and secondary control strategies as mediating variables. The endogenous variable was each elderly worker's swb. Study participants were 205 elders participating in an "education activity". We used descriptive statistical analysis, Pearson's correlation and hierarchical multiple regression to examine data collected from structured interviews with the participants. Path analysis revealed the followings: First, secondary control strategy was the strongest predictor of participants' swb but internal control attribution, demand of activity, and support of activity also positively affected participants' swb. Second, internal control attribution indirectly affected the participants' swb. Finally primary control strategy negatively affected on the participants' swb.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.389-393
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• 2010

The Objective of this study was to develop a system for visualizing inundation area by using 1-D numerical model analyzing damage information such as inundation area, facilities, land usages, population, building, loads. In this study, we have reviewed hydraulic models to select a flood model for simulation of discharges, water depths and velocities. The study area is Namhan River from Youngwol to Paldang Dam which had a flood damage on upper and below regions of Chungju Dam by a storm event in 2006. At the first, we developed the DB system base on GIS thematic map, ortho images, cadastral maps to analyze flood damages and support decisions making. Changing the boundary conditions such as discharge at the gauging stations, flood simulations were performed and then damages were extracted from the databases information support system based on 1-D numerical hydraulic model, it is expected to be able to analyze flood damages and support a decision making for reduce flood relate damages. In the future, the system developed in this study could be applied for flood forecasting system of small scaled streams.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.109-110
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• 2018

Preloading Strut applied during installation of the wall jack, but additionally serves to minimize the displacement of soil pressure acting upon dissolution due to the difficulty. In this study, we developed an index of support for the release of stress to facilitate the dismantling of the strut uninstall. The refractive support the axial force acting on the strut are supportable, is refracted at minimum load, disassembly should be easy. In order to find the optimal shape and structural stability of the refractive support We have performed the numerical analysis and performance test to determine the final model. We carried out model tests and UTM test in order to understand the refractive performance and durability of the refractive support for optimal model. Results of the test UTM is refracted all shot 5 times within a target hit number, it was found that there is no problem of the refractive performance. Further, the results of model experiments, it was found that to ensure sufficient durability more than the performance target value of the pin joint support structure.

• The Korean Journal of Rehabilitation Nursing
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• v.15 no.1
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• pp.20-29
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• 2012

Purpose: The purpose of this study was to explore factors affecting uncertainty and general well-being based on Uncertainty in Illness Theory. Methods: Data were collected from 125 outpatients who had received hemodialysis. The path model among four concepts, such as period of hemodialysis, social support, uncertainty, and general well-being, was tested. Tangible support, positive social interaction, affectionate, and emotional/informational support were measured as social support. Adaptation in the model was operationalized as general well-being which consisted of anxiety, depression, positive well-being, self-control, and general health. Results: All paths were statistically significant at the level of ${\alpha}$=.05. The significant paths were the path from period of hemodialysis to uncertainty (t=-2.86), social support to uncertainty (t=-2.01), uncertainty to general wellbeing (t=-2.85), and social support to general well-being (t=3.55). Conclusion: Patients who perceived low uncertainty and high social support were likely to feel well-being. Therefore, nurses should give patients appropriate information according to their needs and have meaningful interaction with patients to reduce their uncertainty and render social support.

• Industry Promotion Research
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• v.7 no.4
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• pp.75-84
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• 2022

This study aims to examine the relative effects of social support and resilience on retirement readiness in the prudent male and female generations through hierarchical regression analysis. The results of the study first, As a result of verifying the difference between men and women in social support, resilience, and retirement readiness, there was a significant difference between the overall social support and the subvariables of emotional, intelligence, material, and retirement readiness, the physical. especially, Women had higher averages of social support, resilience, and retirement readiness than men. second, The relative impact of social support and resilience on retirement readiness is In model 1, men have family type, living conditions, and final education, and women have living conditions, average monthly income, In Model 2 and Model 3, both men and women showed the same trend. Model 2 shows living conditions, average monthly income, social support, Model 3 had a significant effect on living conditions, social support, and resilience. Namely, Both men and women recognized that social support and resilience had the greatest relative effect on retirement readiness, which was the main variable. Through this study, the middle-aged generation especially, It is significant in suggesting the need to find ways of social support for women and to increase resilience.

• Journal of Industrial Technology
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• v.23 no.A
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• pp.69-81
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• 2003

Numerical analysis is important for the design, construction and maintenance of large caverns. The rock mass contains generally discontinuities such as faults, joints and fissures. The mechanical behavior and geometric characteristics of these discontinuities would have a significant impact on the stability of the caverns. In this research the Distinct Element Method(DEM) was used to analyze the structural stability of the large cavern. The Barton-Bandis Joint Model (B-B J.M) was used as a constitutive model for the joint. In addition, two different cases 1) analysis with a support system and 2) analysis with no support system, were analyzed to optimize a support system and to investigate reinforcing effects of a support system. The most significant parameters of in-situ stress, JRC of in-situ natural joints, and spatial distribution characteristics of discontinuities were acquired through field investigation. Displacement (horizontal, joint shear), maximum joint opening, maximum and minimum principal stresses, range of relaxed zone, rockbolt axial forces and shotcrete stresses were calculated at each excavation stage. As a result of analysis the calculated values proved to be under the allowable value Rockbolts also proved to be an efficient support measure to control joint shear displacement which had significant effects on extending the relaxed zone. As a consequence, the structural stability of the cavern was assured with an appropriate support system.

• Research in Community and Public Health Nursing
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• v.18 no.4
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• pp.624-633
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• 2007

Purpose: The purpose of this study was to develop and test a structural model on work-related musculoskeletal disorders of women workers. Method: Data were collected from 237 women workers from industries such as electronics, food production and garment production, and analyzed by LISREL 8.54. Result: The fitness indices of the model are GFI=.87, NNFI=.91, PNFI= .74. Eight out of the ten paths were proved to be statistically significant: work environment$\rightarrow$social support, work environment$\rightarrow$health behavior, work environment$\rightarrow$-WMSDs, domestic work$\rightarrow$health behavior, social support$\rightarrow$health behavior, social support$\rightarrow$job satisfaction, health behavior$\rightarrow$job satisfaction, and job satisfaction$\rightarrow$WMSDs. Work environment. social support, health behavior and job satisfaction significantly influenced WRMDs. WRMDs were accounted for 35% by the predictor variables. Conclusion: In conclusion, this study identifies that work environment, social support, health behavior and job satisfaction are important factors affecting WMSDs. Therefore, in order to prevent WRMDs, it is most important to improve both physical work environment for female workers such as appropriate work station and tools fit for them and psychological environment such as less job demand and more decision latitude(worker control).