• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.147-155
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• 2020

System support software is one of the software that makes up ship combat management system and has the characteristics of being mounted in the combat management systems of all ships but with little functional change. However, despite these characteristics, software modifications due to equipment, etc. are inevitable in the application of new ships. Modification of software causes software reliability testing which is a key factor in increasing development costs. In this paper, the structure of the existing system support software was analyzed to identify and supplement the code change factors, and the system support standardization architecture was designed. The feature model elicited common and variable elements of system support software, and applied white-box reuse to improve software design. In addition, the results of comparing existing system support software with the new architecture in terms of development elements and time to perform reliability test were presented to verify the effectiveness of the new one.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.1
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• pp.64-77
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• 2022

Objectives: The purpose of this study is to objectify the level of case management performance and the factors influencing performance, to improve the case management performance at the Korea Worker's Compensation & Welfare Service (KWCWS) on the basis of the recognition of the objective realities of case management by job coordinators at the KWCWS, to develop a model of case management fit for the KWCWS, and to provide a basis for establishing guidelines for standardized case management. Methods: A total of 156 questionnaires were distributed to job coordinators at the KWCWS's headquarters, six regional headquarters, and 55 branches. One hundred forty-one questionnaires were collected and 126 were analyzed statistically using SPSS 21.0. Factor analysis and reliability analysis were conducted to verify the validity and reliability of the main measurement items in the research model. Frequency analysis was conducted for general characteristics of survey subjects. Frequency analysis or descriptive statistics were conducted to identify the level of independent variables (case manager's individual variables, job variables, institutional and organizational variables). Dependent variables (case management performance) and the degree of correlation were analyzed through correlation analysis between research variables. Multiple regression analysis and hierarchical regression analysis were conducted to examine the effect of independent variables on case management performance. Results: The results of the study showed that the level of overall performance in the five stages of case management was ordinary, with an average level of 3.45 on a 5-point scale. Levels of performance by step were institutional approach and intake (3.69), assessment (3.63), goal setting and intervention planning (3.46), implementation of intervention plan (3.32), and evaluation and termination (3.20), in that order. The explanatory power of case management performance (overall) by case managers with the KWCWS was case manager's institutional and organizational variables, job variables, and individual variables, in that order. At each stage of case management, the explanatory power of a case manager's institutional and organizational variables was found to be the greatest. The model changes at each stage of case management assume similar aspects statistically. In hierarchical regression analysis, it was institutional support that had a significant effect on case management performance (overall), and institutional support had the greatest effect. The results of multiple regression analysis in which all variables are input simultaneously showed that institutional support and expertise as well as self-efficacy had a positive effect. However, case management work experience, expertise (technology), and autonomy were found to have a negative effect during the stage of case management performance. Conclusions: As a result of the study, it was confirmed that raising the case manager's expertise and support from the institution and organization are important factors to improve the level of case management performance. The research also derived practical ways of reinforcement of case manager capacity, institutional and organizational support, operation of rehabilitation-case management teams, and occupational health-related aspects.

• Korean Journal of Adult Nursing
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• v.21 no.5
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• pp.447-457
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• 2009

Purpose: The purpose of this study was to investigate the level of self management of patients with poorly controlled type 2 diabetes, and to investigate the factors influencing self management. Methods: The subjects consisted of 117 diabetes patients who visited the outpatient department of a university hospital from March to August 2008. Data were collected by asking the subjects to answer a 54-item questionnaire and were analyzed using the SPSS/WIN 14.0 program. Results: The total mean score of the patients in self -management was 4.38 out of 7. Medication adherence obtained the highest score under self-management, and the self-monitoring of blood glucose obtained the lowest score. Family support, self-efficacy, severity, and depression were found to be significantly correlated with self-management. In stepwise multiple regression analysis a total of 44.5% of the variance in self management was accounted for by family support, self-efficacy, severity, and depression. Conclusion: Therefore, a diabetic intervention program should be designed and provided for increasing family support, self efficacy, and severity and for reducing depression of patients with poorly controlled type 2 diabetes.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.107-121
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• 2006

In spite of the increase of the necessity and the interest regarding the SCM in practical business, it is difficult to judge the whole situation of the SCM because the research remain fragmentary as compared with the huge and complicated concept of the SCM. So this study defines dimension of SCM practice and measurements of SCM performance. Through an extensive literature review, the study Identifies seven dimension of SCM practice(partnership, usage of IT tools, information sharing and information quality), five measurements of SCM performance(supply chain flexibility, supply chain integration, customer responsiveness, supplier performance, and partner relationship). Five hypotheses were formulated for the relationship between SCM practice and SCM performance. The important relationships to be tested include ; (1) the direct impact of usage of IT tools on the partnership (2) the direct impact of partnership on the information sharing and information quality (3) the direct impact of SCM practice on the performance of SCM, (4) A moderating effect of top management support on the relationship between SCM practice and SCM performance.

• Journal of the Korean Society for information Management
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• v.21 no.3
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• pp.31-44
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• 2004

Information center represents an important source which seems very well suited for knowledge management investigation. Information center is knowledge intensive and the use of advanced technology may transform the knowledge of business processes for delivering an unique capabilities in an organization. To exam knowledge management, organization culture, importance of knowledge, and support of information technology were identified as potential predictors of knowledge management support in information center. Three hypotheses have been tested with 43 database management specialist surveys. This study presents that the level of information sharing and knowledge exchange is significantly influenced by the extent support of information technology.

• Journal of Family Resource Management and Policy Review
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• v.10 no.4
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• pp.145-161
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• 2006

This research paper represents family volunteer management system for the purpose of activating family volunteer activities. This family volunteer management system is based on the family volunteer activity cases by healthy family support center in Cheon-An City. The following data is the evaluation of effectiveness in the family volunteer management system. 9 families (32 people) among family volunteers who are participated in activities worked for twelve to eighteen hours per a month; one to six times per a month; at the more than two different social welfare facilities. They volunteered in the areas of cultural experience programs for the immigrant's families, baby cares, help for the handicaps and hospice. Family volunteers showed high satisfaction levels; average 4.37 out of 5; in the Family volunteer's management system. They checked in the area of volunteer's training, activity period, activity places, teamwork, healthy family support center, and supervisor of volunteer center.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1255-1255
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• 2022

Recently, research on digital twins to generate digital information and manage construction in real-time using advanced technology is being conducted actively. However, in the construction industry, it is difficult to optimize and apply digital technology in real-time due to the nature of the construction industry in which information is constantly fluctuating. In addition, inaccurate information on the topography of construction projects is a major challenge for earthmoving processes. In order to ultimately improve the cost-effectiveness of construction projects, both construction quality and productivity should be addressed through efficient construction information management in large-scale earthworks projects. Therefore, in this study, a 3D digital map-based AR site management work support system for higher efficiency and accuracy of site management was proposed by using unmanned aerial vehicles (UAV) in wide earthworks construction sites to generate point cloud data, building a 3D digital map through acquisition and analysis of on-site sensor-based information, and performing the visualization with AR at the site By utilizing the 3D digital map-based AR site management work support system proposed in this study, information is able to be provided quickly to field managers to enable an intuitive understanding of field conditions and immediate work processing, thereby reducing field management sluggishness and limitations of traditional information exchange systems. It is expected to contribute to the improvement of productivity by overcoming factors that decrease productivity in the construction industry and the improvement of work efficiency at construction sites.

• Journal of Families and Better Life
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• v.27 no.5
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• pp.91-99
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• 2009

This study investigates the relationships among emotional support from social network, ego-resiliency, and role conflict of teachers in kindergartens and day care centers. The subjects were 192 teachers who worked in kindergartens or child care centers in Daegu and Gyeongbuk Province. Questionnaires, which require self-report by teachers, were used to investigate the emotional support from social network, ego-resiliency, and role conflict. The collected data were analyzed by Pearson's correlation, single and multiple regressions, using SPSS Win 15.0. The results are as follows. (1) Emotional support from social network and ego-resiliency was negatively associated with the role conflict of teachers in kindergartens and day care centers. (2) Emotional support from social network was positively associated with ego-resiliency. (3) Emotional support from social network partly exerted indirect effects on role conflict mediated by ego-resiliency. But direct effect of emotional support from social network on role conflict was more than the indirect effect. These results indicate that a higher level of emotional support from social network is more likely to lower role conflict of teachers.

• Journal of Family Resource Management and Policy Review
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• v.10 no.4
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• pp.87-107
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• 2006

A study of 117 Korean immigrant women who had husband and(or) children in Hawaii found the relation between social networks and psychological well-being. Social networks composed supporters, support structure, and support contents. Psychological well-being examined family life satisfaction, family life stability, and women's psychological health. Results showed as followed. First, the choice of immigration place among Korean immigrant women and her family based on other family members and friends lived in there. Second, her supporters were family and relatives, Korean friends, foreign friends, religions, belonged organizations and groups, public agencies in Hawaii, and mass-media. The best supporters of them was family and relatives and they mostly provided mental health to Korean immigrant women. Family, Korean friends, foreign friends, and religions tended to support emotional assistance. Third, the level of psychological well-being was higher. Her level of psychological health was higher than the others. Fourth, the best predictors of psychological well-being were child existence, occupation, and immigration duration. Fifth, psychological well-being significantly distinguished different relations of supporters from support structure of social network. The number and support duration with foreign friends supporter and the support duration and the level of perceived useful support content highly related with psychological well-being.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.69-81
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• 2005

As the competition in business becomes severe, companies are focusing their capacity on customer relationship management (CRM) for survival. One of the important issues in CRM is to build a purchase prediction model, which classifies customers into either purchasing or non-purchasing groups. Until now, various techniques for building purchase prediction models have been proposed. However, they have been criticized because their performances are generally low, or it requires much effort to build and maintain them. Thus, in this study, we propose the support vector machine (SVM) a tool for building a purchase prediction model. The SVM is known as the technique that not only produces accurate prediction results but also enables training with the small sample size. To validate the usefulness of SVM, we apply it and some of other comparative techniques to a real-world purchase prediction case. Experimental results show that SVM outperforms all the comparative models including logistic regression and artificial neural networks.