• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.218-228
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• 2017

This study covers an investigation using meta-analysis of the factors related to the effects of singing activities for children, focusing on the dissertations conducted for master and doctor degrees and the studies published in academic journals over the past 16 years. Ameta-regression analysis was conducted to examine the changes of the factors in each published year. The analysis results were as follows: Both the entire effect size and the groups of singing activity related factors were revealed to have significant effect sizes. While the group of social factors and the group of cultural & artistic factors showed large effect sizes, the group of psychological & emotional factors appeared to have an intermediate effect size. The sub-factors of the group of social factors were shown to have significantly larger effect sizes than the others, except for the factor of capability of recognizing others. Among the sub-factors, naturally friendly behavior showed relatively larger effect size than the others. In the sub-factors of the group of psychological & emotional factors, self-expression capability and self-control capability showed large effect sizes and stress suppression and emotional intelligence showed intermediate effect sizes. Among the sub-factors of the group of cultural & artistic factors, except for creative capability which showed an intermediate effect size, all of the sub-factors showed large effect sizes. According to the results of the analysis of the trend of the effect size changes in each published year, the trends of the entire effect size and the effect size of each factor, such as the groups of social factors, psychological & emotional factors and cultural & artistic factors, showed that the activity effects increase as the publication year comes closer to the most recent year.

• Journal of the Korean Society of Safety
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• v.37 no.6
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• pp.40-49
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• 2022

Simple statistical frequency based analysis, such as Pareto analysis, are widely used in conventional accident analysis. However, due to the dynamic and complex nature of construction works, many factors can simultaneously affect or involve the occurrence of accidents in construction projects. Therefore, the identification of the complex relationship between such factors is important to establish relevant and effective safety management policies and/or programs. In this study, characteristic factors and their relationships' contribution to non-fatal accidents in construction projects are analyzed using the association rule mining (ARM) technique. To this end, a total of 59,202 construction accident data are collected from 2015 to 2019 and the ARM is performed to retrieve specific relationships -named as association rules-among classified factors in the data. Characteristics of the retrieved relationships are analyzed and compared with the results of conventional Pareto analysis. Based on the results, it is found that both fall and trip are notable accident forms having characteristic relations with other factors for non-fatal accidents in construction projects. It is also found that small-scale construction, age of 50s, less than 1 month of working period, and architectural construction are important factors for non-fatal accidents in construction projects.

• Journal of Korean Academy of Nursing
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• v.50 no.2
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• pp.159-177
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• 2020

Purpose: This study aimed at identifying factors related to persistent postoperative pain after cardiac surgery and estimating their effect sizes. Methods: The literature search and selection was conducted in four different databases (CINAHL, Cochrane Library, PubMed, and PQDT) using the Preferred Reporting Items for Systematic Review and Meta-Analysis Statement. A total of 14 studies met the inclusion criteria and were systematically reviewed. For the meta-analysis, R was used to analyze 30 effect sizes of for both individual and operative factors as well as publication biases from a total of nine studies. Results: The meta-analysis revealed that persistent postoperative pain after cardiac surgery was related to one individual factor (gender) and two operative factors (acute postoperative pain and use of the internal mammary artery). Operative factors (OR=5.26) had a larger effect size than individual factors (OR=1.53). Conclusion: Female gender, acute pain after surgery, and use of the internal mammary artery are related factors to persistent postoperative pain. The development of interventions focusing on modifiable related factors, such as acute postoperative pain, may help to minimize or prevent PPP after cardiac surgery.

• Journal of Welding and Joining
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• v.22 no.4
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• pp.59-64
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• 2004

The purpose of this study is to investigate the influence of weld bead profiles on stress concentration factors of double V groove butt-welded joints. The influence of three parameters such as toe radii, flank angles and bead heights on the stress concentration factors is studied by finite element analysis. It is shown that the three parameters have similar effects on the stress concentration factors. Finally a formula to estimate the stress concentration factors considering the three parameters and others is proposed and estimated results are compared with the results obtained by finite element analysis.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.651-662
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• 2021

Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors. Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group. Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment. Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children's planning-organizing executive functions.

• Journal of the Semiconductor & Display Technology
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• v.23 no.2
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• pp.50-54
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• 2024

In this paper, we propose a theoretical method to systematically analyze the power conversion efficiency of a single-phase PFC switching rectifier. Boost-type PFC was organized in order of highest correlation with load current using steady-state analysis results and introduced the concept of loss factor. The loss factors for each major element are summarized and presented in a table. This paper makes it easier to understand the internal loss and power conversion efficiency of the rectifier for loss factors. Lastly, to confirm the validity of the efficiency analysis results reflecting the loss factors, loss and efficiency analysis of the 2.5kW PFC rectifier was performed. The results were compared with data from a 2.5kW PFC circuit for evaluation. As a result, the usefulness of power conversion efficiency analysis reflecting the loss factors proposed in this paper was confirmed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2886-2892
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• 2009

This research focuses on searching primary factors in accessing internet shopping sites. In this research we have derived primary factors such as the order factors, the product factors, and the delivery factors by factor analysis approach. We have done AHP analysis on these derived primary factors. The results of AHP analysis show that the most important factor is the product factors and the most important sub factor among the product factors is the after service factor including guaranteed returns and refunds, and product exchangeability. The next important factor is the incentive provision in which discount coupons, mileage accumulation policies are the main sub factors included.

• Journal of Environmental Science International
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• v.21 no.4
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• pp.461-470
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• 2012

Agriculture is more influenced by environmental factors rather than other industries. Among the environmental factors, the meteorological conditions mainly impact the output of agricultural products. Hence, the purpose of this study is to analyze the impact of meteorological factors on the output of elemental agricultural products. As a first step, we obtained the data of the meteorological factors (i.e., precipitation, humidity, temperature, insolation, snowdrifts, wind velocity) and the output of the various agricultural products (i.e., grain, fruits and vegetables, root crops, green vegetables, seasoned vegetables, fruits, special crops) from the year 1990 to 2009 (20 years) of Seoul and the six metropolitan cities in Korea. Then, the analysis of the correlation between the agricultural product with the largest output and the meteorological factors of the place where the corresponding agricultural product is most produced, was carried out in order to determine the core meteorological factor that most impacts the output of agricultural product. The correlation analysis revealed that humidity, insolation and wind velocity have been the crucial meteorological factors to influence the output of the agricultural products. From the result, we can induce that the meteorological forecast information about the vital meteorological factors, i.e., humidity, insolation and wind velocity, facilitates the optimized cultivation plan to maximize the output of agricultural products.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.5 s.142
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• pp.585-594
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• 2005

The purpose of this study was to analyze the situations and satisfaction of fashion design education in Busan, and the way to promote it. Data were collected from 192 college(university) students and 185 vocational students living in Busan and analysed by frequency analysis, factor analysis, Cronbach's $\alpha$, multiple regression, and t-test. The results are as follow; 1. Factor analysis has extracted three factors: environmental factors, student factors and quality of education factors. 2. The biggest factor that affects the satisfaction level of the education fumed out to be the student factors, followed by the environmental factors. 3. Demonstrated that vocational students were more satisfied with their education and had a higher degree of pride and confidence in their educational factors and level of satisfaction than college(university) students. In conclusion, we must encourage the industrial-educational corporation to promote the practicality of the fashion design education system and make diversification and specialization of the curriculum of fashion design education to cultivate students of talent.

• Journal of Forest and Environmental Science
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• v.29 no.1
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• pp.90-98
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• 2013

The purpose of this study was to understand the geographical and environmental distribution of wild animals in Baekdudaegan region using field survey and GIS data. Crucial factors were selected and analyzed to understand the distributional characteristics of wild animals (7 species in 6 families) and rare endemic plants (14 species in 11 families). These crucial factors include stand factors (forest type, DBH class, and crown density), soil factors (bed rock, soil texture, and organic matter), geographical factors (elevation, slope, aspect) and climatic factors (temperature, rain fall, humidity). Finally, 10 factors were selected by statistical analysis and categorized for analyzing geographical and environmental features. Four families such as Muridae, Sciuridae, Suidae and Talpidea in wild animal showed the similar habitat characteristics with the 10 factors.