• 한국안전학회지
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• 제27권4호
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• pp.115-120
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• 2012

In order to establish preventive maintenance standards through analysis & reliability prediction of about 60,000pcs of 20kindsof relays and contractors used for Seoul subway trains, several life prediction methodologies were applied. Firstly, Occurrence, Severity, Detection were defined and predicted by applying operation characteristic of EMU to the number of actions of relays & contactors which the manufacturers generally offer as the life cycle data. Secondly, failure distribution and average life of parts were analyzed through interpretation of field data based on a lot of experience which had built up in the field for a long time. Finally, using the 217PLUS standard as a reliability prediction program, comparative analysis of use reliability and inherent reliability was done through reliability prediction at the part level and system level.

• International Journal of Advanced Culture Technology
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• 제12권3호
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• pp.271-277
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• 2024

The purpose of this study was to empirically analyze the effect of gender perception on the life satisfaction of people with developmental disabilities. Based on the results, it was intended to suggest practical measures to improve the developmentally disabled's awareness of their gender and quality of life. To achieve the purpose of the study, a survey was conducted with a significant sample of people with developmental disabilities aged 30 or older in Ulsan City. It was done. Of the collected questionnaires, 58 copies were used as final analysis data, excluding unfaithful responses. The collected data were factor analysis, reliability analysis, frequency analysis, Pearson correlation analysis, t/F-test, and regression analysis using SPSS 20.0 It was implemented. Based on the analysis results, the development of gender education programs for people with developmental disabilities to provide knowledge and information about gender and developmental disabilities. It suggested establishing experts and counseling institutions dedicated to gender and implementing and promoting social education for the general public.

• 한국신뢰성학회지:신뢰성응용연구
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• 제3권2호
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• pp.93-101
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• 2003

Life time data analysis requires some time-to-failure data to an extent. Some life tests result in few or no failure. In such cases, it is difficult to access reliability with traditional life tests that record only time to failure. Furthermore, with short product development time, reliability tests must be conducted with severe time constraints. For some devices, it is possible to obtain degradation measurements over time, and these measurements may contain useful information about product reliability. This article describes degradation reliability analysis methods to do inferences and predictions about a failure-time distribution by using software. In addition, the possibility of extension to CBM (Condition Based Maintenance) is suggested as an example of applied degradation data analysis.

• The Journal of Advanced Prosthodontics
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• 제16권2호
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• pp.67-76
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• 2024

PURPOSE. This study aims to assess and predict lifespan of dental prostheses using newly developed Korean Association of Prosthodontics (KAP) criteria through a large-scale, multi-institutional survey. MATERIALS AND METHODS. Survey was conducted including 16 institutions. Cox proportional hazards model and principal component analysis (PCA) were used to find out relevant factors and predict life expectancy. RESULTS. 1,703 fixed and 815 removable prostheses data were collected and evaluated. Statistically significant factors in fixed prosthesis failure were plaque index and material type, with a median survival of 10 to 18 years and 14 to 20 years each. In removable prosthesis, factors were national health insurance coverage, antagonist type, and prosthesis type (complete or partial denture), with median survival of 10 to 13 years, 11 to 14 years, and 10 to 15 years each. For still-usable prostheses, PCA analysis predicted an additional 3 years in fixed and 4.8 years in removable prosthesis. CONCLUSION. Life expectancy of a prosthesis differed significantly by factors mostly controllable either by dentist or a patient. Overall life expectancy was shown to be longer than previous research.

• 가정과삶의질연구
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• 제6권1호
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• pp.117-129
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• 1988

The purposes of this study are 1) to explore the evaluating attribute of family life- insurance 2) to examine the relationship between evaluation attribute variables and level of consumer satisfaction/ dissatisfaction (CS/D), and 3) to investigate the sociodemographic variables and psychological variables which influence the purchase of life-insurance. The data used in this study include 432 households of 208 life-insurance purchasers and 224 non-purchasers Statistics used for the data analysis are x2, factor analysis, multiple regression and a discriminant analysis. The resulting major findings are as follows; 1) The evaluating attributes are saving function, convenience. economic payoff, safety for future accident, agreement of insurance, and reputation of brand. 2) Among these factors. the most important factors. in CS/D of life-insurance are saving function, and reputation of brand. 3) the purchase of life-insurance has been influenced by such sociodemographic variables as husband's age , family income, and family life-cycle. Psychological variables such as attitude of life, perceived risk, consumer attitude about insurance business did not influence the purchase of life -insurance significantly. As mentioned above, we can conclude that Korean purchasers of life-insurance are using irrational evaluating attributes. Therefore more education of the consumers and more information about life-insurance purchases are necessary. Especially low-income households and first step of family life-cycle families are turned out to need more education as well as more information.

• 한국주거학회논문집
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• 제5권2호
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• pp.65-75
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• 1994

The purpose of this study was analyzed that the house purchasing behavior had on influence on the housing value and the life-style factors. For this purpose, the data were collected by using questionnaire distributed to 251. The data were analyzed by Factor Analysis, Pearson's Correlation Analysis and Multiple Regression Analysis. The major findings of this research were as follow: 1. The housing value factors were classified into condition of location, safety, esthetic, economic and prestige and human relation and approach. The housing life-style factors were classified into ostentation. 2. The house purchasing behavior were correlated with the housing value and the life-style factors. 3. The house purchasing behavior had an influence on the housing value and the life-style factors.

• 한국자동차공학회논문집
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• 제13권1호
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• pp.147-152
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• 2005

The exhaust system of automobile is faced with random or spectrum types of fatigue loads during usage life and so needs to be closely estimated for quality and performance to have enough certainty on design endurance lift during preliminary design process. Structural operation conditions, operation load history, property of material and manufacturing process etc. should be considered by performing experiment approach. Using the software program for predicting fatigue life quickly and exactly in preliminary design stage saves plenty of time and cost generated by fatigue tests. In this paper, fatigue life prediction was performed on the basis of fatigue analysis using MSC/FATIGUE and load data from field test and the life of development items was estimated and compared through the results.

• 지역사회간호학회지
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• 제33권1호
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• pp.74-83
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• 2022

Purpose: The purpose of this study was to identify latent classes of health-related quality of life trajectories in middle-aged women and investigate predictors for latent classes. Methods: This study utilized data from the 2^nd, the 4^th to the 7^th Korean Longitudinal Survey of Women & Families. The subjects included 1,351 women aged 40~45 years. The data was analyzed using latent class growth analysis and logistic regression. Results: Two trajectories were identified for health-related quality of life in middle-aged women; 'persistently good' and 'increasing' groups. Predictors for the 'increasing' group were lower economic status, higher depression, and lower perceived health status. Conclusion: This study showed that characteristics of the individual, symptom status, and health perceptions were associated with health-related quality of life in middle-aged women. It is necessary to provide effective intervention for latent classes of health-related quality of life trajectories based on physical, mental, and social factors.

• 지역사회간호학회지
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• 제28권1호
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• pp.1-12
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• 2017

Purpose: The purpose of this study is to examine factors affecting quality of life among grandparents raising their grandchildren. Methods: This study carried out a secondary analysis of data from the 2014 Korean Longitudinal Study of Aging (KLoSA) and Statistics Korea. Data collected from 224 grandparents who reported raising their grandchildren were analyzed using descriptive statistics, independent t-test, ANOVA, pearson correlation coefficient, and multilevel regression analysis. Results: The mean score of the participants' quality of life was 62.63. Significant predictors of quality of life of the grandparents included subjective health status, last year's total house income, number of last year's travels, frequency of last year's movie seeing, and number of children's parks per 100,000 population. Conclusion: These results suggest that public health nurses in improving quality of life of grandparents focus on children's parks and formal social supports as community factors as well as regular exercise as an individual factor in order to be more effective.

• 대한가정학회지
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• 제29권4호
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• pp.99-114
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• 1991

This study was designed to determine the relative importance of specific family environmental variables and positive self-concept of psychological variables in explaining family life satisfaction. Data were collected from 423 housewives in Daegu City. Multivariate regression and factor analysis and path analysis were used to analyze the data. The results of this study partially supported the hypothesis that positive self-concept of psychological factors would be more closely associated with family life satisfaction than would family environmental factors. The findings were as follows: 1. Urban housewives' positive self-concept and family life satisfaction were relatively high. 2. Among family environment variables, health, wives' education level, husband's satisfaction with job significantly influence on positive self-concept. 3. The variables which significantly affect family life satisfaction are husband's satisfaction with job, monthly family income, health. 4. From the path analysis, it found that positive self-concept has the most great influence on family life satisfation.