• Journal of the Korean Society for Library and Information Science
• /
• v.53 no.4
• /
• pp.309-340
• /
• 2019

Although overseas countries have already developed data life cycle for the preservation and curation of data since the 1990s, the research in Korea has been very insufficient. In this study, we analyzed the data life cycles developed in DCC, ICPSR, IWGDD, DataONE, USGS and UKDA to propose data life cycle for efficient management of research data. As a result of the analysis, the common components derived are 'Plan', 'Create & Collect', 'Process', 'Preserve', 'Dispose', 'Access & Use', 'Describe', 'Assure' and 'Backup & Secure'. In addition, the nine components were subdivided into stages to describe the details to be carried out at that stage. It is expected that the content of this study will be applicable in the future development of data life cycle for research data management in Korea.

• Journal of Digital Convergence
• /
• v.14 no.2
• /
• pp.197-208
• /
• 2016

In this paper, data mining regression analysis and decision tree analysis techniques were used to analyze factors affecting the life satisfaction of middle school students. For this purpose, we analyzed Korean Children and Youth Panel Survey(KCYPS) data. As results, the common influencing factors to the life satisfaction were derived from regression analysis. Those factors are self-esteem, depression, total grade satisfaction, regional community awareness, career identity, annual delinquency damage experience, siblings' factors, trust, behavioral control, and concentration. Based on the result described by decision tree analysis, the factors that indicate a significant impact on the life satisfaction of middle school students were self-esteem, depression, career identity and attention factor.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2009.05a
• /
• pp.107-113
• /
• 2009

This paper deals with noninformative priors for such as Jeffres' prior, reference prior and probability matching prior for scale parameter of exponential distribution when the data are collected in multiple step stress accelerated life tests. We find the noninformative priors for this model and show that the reference prior satisfies first order matching criterion. Using artificial data, we perform Bayesian analysis for proposed priors.

• Korean Institute of Interior Design Journal
• /
• no.33
• /
• pp.54-61
• /
• 2002

The purpose of this study was to identify the preference of interior design, design style and color, according to consumers' life style. Data were collected from March 7th. 2002. to March 22nd. 2002 using the questionnaire. The subjects were 228 adults and frequency, percentage, mean, cross tab, F-test, factor analysis, and cluster analysis were used for data analysis. The major results of this study were: 1) The types of life style were 3: regular family oriented type, progressive fashionable type, and conservative self-manageable type. 2) This study revealed relative difference in design style and color preference according to consumers' life style. Therefore, the type of life style could be used as powerful variable in interior design and marketing of allied industries.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.16 no.4
• /
• pp.179-185
• /
• 2008

The purpose of this paper is to propose a systematic method on the weld pitch design of a vehicle sub-frame considering the fatigue life of spot welding points. The input data, which perform the fatigue analysis on the spot welding nuggets, are obtained by both the dynamic analysis of the multi-body vehicle model passing through the virtual proving ground of a typical Belgian road and the quasi-static analysis with the finite element model of the vehicle sub-frame. By utilizing the life cycle data obtained from the fatigue analysis, the welding points to perform the pitch change are determined. The sensitivity analysis on the fatigue life of the welding points is carried out by using the three-level orthogonal array design, and through the results of the sensitivity analysis, the best combination on the welding pitch is determined. This study shows that as compared with the baseline design, the sub-frame redesigned by the proposed technique improves the fatigue life about 7 percent while reducing the number of welding points about 19 percent.

• International Journal of Advanced Culture Technology
• /
• v.11 no.2
• /
• pp.256-266
• /
• 2023

The purpose of this study is to investigate the relationship between stress and school life adaptation according to the degree of participation in physical education class and perception of middle school students. In order to achieve this research objective, the subjects of this study were sampled using cluster random sampling from male and female students attending middle schools in Gwangju Metropolitan City and Jeollanam-do in 2020. 150 males and 150 females, a total of 300 people were sampled. The statistical analysis used for data analysis was frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis using SPSS Windows 21.0 Version. The conclusions obtained in this study through data analysis by such methods and procedures are as follows. First, it was found that middle school students' participation in physical education classes and perceptions had a partial effect on stress. Second, it was found that the degree of participation and awareness of middle school students' physical education class had a partial effect on their adaptation to school life. Third, middle school students' stress was found to have a partial effect on school life adaptation.

• Journal of Families and Better Life
• /
• v.8 no.2
• /
• pp.101-118
• /
• 1990

The purpose of this study is to examine the stress level and factors percepted by the married women during family life, and to identify the related variables influencing on stress level. For this purpose, questionnaires were distributed to the 650 married women who have been living in seoul. Among them 463 data were selected. For data analysis, the statistical method such as the factor analysis frequency distribution percentile , t-test, ANOVA, Duncan's Multiple Range Test and Stepwise Regression Analysis were used. the major findings were summarized as follows; 1) The general tendancy of the stress level percepted by the married women during family life was relatively low. 2) The household background variables(age, level of education, income, type of family, number of children, status of employment ) have turned out to be significant on the stress level of married women except family type. 3) All the social-psychological variables(socio-economic status, communication interaction, resources perception, psychological satisfaction) showed significant differences according to the stress level percepted by the married women during family life. 4) The level of work identity was the important factor on the stress level percepted by the married women during family life. 5) In Stepwise Multiple Regression Analysis, the married women's stress level during family life was greatly influenced by variables such as the resource perception and the psychological satisfaction.

• Korean Journal of Rural Living Science
• /
• v.10 no.2
• /
• pp.15-27
• /
• 1999

The purposes of this study were : 1) to investigate the differences of female students' clothing behaviors and their life styles according to their demographic data, 2) to examine the differences of their clothing behaviors according to their life styles. The data were collected from 440 female college students in Chungju city through self-administered questionnaires, and were analyzed by frequencies, Cronbach's alpha, t-test, factor analysis, cluster analysis, one way ANOVA and Sheffe test. The results of the study were as follows : Four variables of clothing behavior were significantly different according to father's occupation, father's monthly income, student's major, student's monthly expenditure on clothing and her companion when purchasing her clothing. Life styles were classified five types. The dimensions of life styles were significantly different according to student's major and monthly expenditure on clothing. There were highly significant differences between life style dimensions and clothing behavior variables.

• Journal of the Korea Safety Management & Science
• /
• v.17 no.2
• /
• pp.241-247
• /
• 2015

The purpose of the warranty data analysis can be classified into two categories. Two goals is a failure cause analysis and life prediction analysis. In this paper first, we applied multivariate analysis method that can be estimated in consideration of various factors on the failure cause warranty data. In particular, we apply the Tree model and Cox model. The advantage of the Tree is easy to interpret this result as compared to other models. In addition Cox model can quantitatively express the risk. Second, this paper proposed a multivariate life prediction model (AFT) considering a variety of factors. By applying the actual warranty data confirmed the usability.

• International journal of advanced smart convergence
• /
• v.5 no.1
• /
• pp.47-50
• /
• 2016

Big Data is coming rapidly in recent times and keep the vast amount of data was utilized them. These data are utilized in many fields in particular, based on the patient data in the medical field to increase the therapeutic effect, as well as re-incidence to better treatment, lowering the readmission rates increased the quality of life. In this paper it is practiced to report basis of the analysis and verification of data using python. And it can be analyzed the data through a simple formula, from Select reason of Python to how it used; by Press analysis of Agriculture, Forestry and Fisheries research. In this process, a simple formula can be used that expression for analyzing the actual data so it taking advantage of the use of functions in real life.