• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.4
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• pp.336-345
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• 2012

In crack growth life, uncertainties are caused by variance of geometry, applied loads and material properties. Therefore, the reliability estimation for these uncertainties is required to keep the robustness of calculated life. The stress intensity factors are the most important variable in crack growth life calculation, but its equation is hard to know for complex geometry, therefore they are processed by the finite element analysis which takes long time. In this paper, the response surface is considered to increase efficiency of the reliability analysis for crack growth life of a turbine wheel. The approximation model of the stress intensity factors is obtained by the regression analysis for FEA data and the response surface of crack growth life is generated for selected factors. The reliability analysis is operated by the Monte Carlo Simulation for the response surface. The results indicate that the response surface could reduce computations that need for reliability analysis for the turbine wheel, which is hard to derive stress intensity factor equation, successfully.

• Health Policy and Management
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• v.7 no.1
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• pp.125-154
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• 1997

The hospital, clinical department and the physician factor in explaining variations of hospital resource use in surgically admitted patients was compared. This analysis was based on 6, 361 discharges in 28 hospitals for three surgical conditions - lens procedures anal and stomal procedures, uterine and ovarian procedures using medical insurnce claim data. The results were as follows: 1. Regression analysis indicated that the hospital and clinical department characteristics, such as hospital ownership and size, were more significant predictors of the resource use indicators than the physician and patients' social characteristics. 2. Regarding to the physician factors, the hospital where the physician received the residency training and the medical shool where he/she graduated had less effect compared to the hospitals where he/she currently works. Between the residency trained hospital and medical school, the is more important than the latter. 3. When the hospital charges were divided into type of service provided i. e. room, drug, laboratory & radiologic, procedure & operation, and anesthesic charges, variance due to the hospital factor was larger than that due to the physician factor in each item. In summary, the hospital and clinical departmental factor played an important role than physician factor ; indicating to reduce the variation in hospital resource use, the policy that affects hospital behavior would be more effective than that targets individual physician behavior.

• Journal of Korea Multimedia Society
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• v.16 no.10
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• pp.1230-1237
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• 2013

Cyber lectures were expected to replace the traditional classroom lecture, yet they were criticized due to the inefficiency. With educational technology supplemented, cyber lectures have improved their efficiency through the coherence of superior planning ability and improvement in computer and network technology. This paper's purpose is to understand the factors that improve educational efficiency of cyber lectures. Cyber lecture for IT subject for software practice is created to test the educational efficiency as lecture on theories will not distinctively show the lecture efficiency. The survey was conducted to students and statistical analysis was done on collected data to analyze the factors that influence educational efficiency of created lecture.

• The Journal of Bigdata
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• v.4 no.2
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• pp.73-83
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• 2019

Since the emergence of the fourth industrial revolution, data analysis is being conducted in various fields. Distributed data processing has already become essential for the fast processing of large amounts of data. However, in the defense sector, simulation used cannot fully utilize the unstructured data which are prevailing at real environments. In this study, we propose a distributed data processing platform that can be applied to battalion level simulation models to provide visualized data for command decisions during training. 500,000 data points of strategic game were analyzed. Considering the winning factors in the data, variance processing was conducted to analyze the data for the top 10% teams. With the increase in the number of nodes, the model becomes scalable.

• Proceedings of the KIEE Conference
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• 1987.11a
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• pp.187-190
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• 1987

This paper is for the charge storage effect and C-V characteristics of MIS type diode which is the basic structural unit of charge-coupled device after growing the $Pb_{1-x}Sn_xTe$ crystal. $Pb_{1-x}Sn_xTe$ singlecrystal dbtained from the horizental furnace using Bridgman method. To judge whether the grown singlecrystal is suitable for specimen or not, it was investigated by X-ray diffraction analysis, thermogravimetry and differential thermal analysis. The C-V characteristics of the specimen caused to anodic oxidation was the best when the insulator film's depth was 250[$\AA$]. Measuring the C-V characteristics aftermanufacturing MIS type diode resulted that the whole capacitance was the largest when the supply voltage was low, 0.3[V] and the capacitance also varied according to the variance frequence when the supply voltage is over 0.5[V]. From the above result, even if the supply voltage is low, the $Pb_{1-x}Sn_xTe$ also have a good charge storage effect.

• Genomics & Informatics
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• v.12 no.4
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• pp.254-260
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• 2014

Best linear unbiased prediction (BLUP) has been used to estimate the fixed effects and random effects of complex traits. Traditionally, genomic relationship matrix-based (GRM) and random marker-based BLUP analyses are prevalent to estimate the genetic values of complex traits. We used three methods: GRM-based prediction (G-BLUP), random marker-based prediction using an identity matrix (so-called single-nucleotide polymorphism [SNP]-BLUP), and SNP-SNP variance-covariance matrix (so-called SNP-GBLUP). We used 35,675 SNPs and R package "rrBLUP" for the BLUP analysis. The SNP-SNP relationship matrix was calculated using the GRM and Sherman-Morrison-Woodbury lemma. The SNP-GBLUP result was very similar to G-BLUP in the prediction of genetic values. However, there were many discrepancies between SNP-BLUP and the other two BLUPs. SNP-GBLUP has the merit to be able to predict genetic values through SNP effects.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.251-257
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• 2020

This study comparatively analyzed the differences in the talented human resources perceived by enterprises and job seekers in terms of recruitment trends of companies related to the 4th Industrial Revolution, focusing on 16 factors. The analysis data was collected from enterprises and job seekers related to the 4th Industrial Revolution, and the analysis method was applied to a convergence research methodology that mixes social network analysis and variance analysis using big data type. As a result, several things were verified. First, large enterprises emphasized communication, and small enterprises emphasized competency and confidence. Second, in the manufacturing industry, enterprises emphasized confidence and competence, and job seekers emphasized spec and passion. Third, in the service industry, enterprises emphasized personality and competence, and job seekers emphasized spec and global. Fourth, there was a big difference in talented human resources between enterprises and job seekers according to manufacturing and service industries. Based on these results, we discussed the opening of employment information for enterprises to reduce the recognition mismatch in the talented human resources.

• The Journal of Korean Physical Therapy
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• v.20 no.4
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• pp.21-28
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• 2008

Purpose: We measured the Oswestry Low Back Pain Disability Index (OLBPDI) and related factors in patients with low back pain. Methods: The sample consisted of 50 patients who received physical therapy at the physical therapy units of the Andong Seoul Sintong Clinic, St. Luke Clinic, and Yeongju Seoul Sintong Clinic in Andong and Yeongju city from October, 2007, to February, 2008. The OLBPDI questionnaire was administered by 5 physical therapists as a cross-sectional study. Student's t-test and analysis of variance (ANOVA/Tukey and Scheffe) were used to analyze OLBPDI score differences. We also used nonparametric statistic analysis (Wilcoxon rank sum test, Median test). Pearson correlation analysis (Spearman correlation analysis) was used to analyze the relationship between OLBPDI and the visual analogue scale (VAS). Multiple regression analysis was performed to determine the effects of independent variables on pain scores as defined by the OLBPDI. Results: The average patient age was 37.1 years (range: 18$\sim$78 years old), and time from onset was 21.7 months (1$\sim$180). OLBPD and VAS scores were 12.70 (3.0$\sim$28.0) and 5.14 (1$\sim$8), respectively. OLBPDI scores were 14.4 in patients taking medicine and 11.57 in those who did not. There was a statistically significant relationship between OLBPDI and VAS (r=0.54, p=0.0001; r=0.55, p=0.0001 by Spearman coefficient). Gender ($\beta$=6.14, p=0.0124), age ($\beta$=-2.01, p=0.0324), weight ($\beta$=0.31, p=0.0222), time from onset ($\beta$=1.54, p=0.0044), and VAS score ($\beta$=1.59, p=0.0004) were significantly associated with OLBPD by multiple regression analysis. Conclusion: Variables associated with OLBPD were gender, age, weight, time from onset, and VAS score. Collecting information on the pain index using OLBPDI was acceptable to patients with low back pain. Further research should explore the pain index by using larger sample sizes and longer follow-up periods.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.5-27
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• 2014

This study aims to investigate the relationship between university library usage and educational achievement of academic library users. To proceed with this study, academic library usage data were collected from S university undergraduate students. Academic achievement was measured using the students' grade point average(GPA). T-test and analysis of variance were used to compare differences of means between library usage and academic achievement with the background variables. Hierarchical regression analyses were conducted to determine the association between library usage and academic achievement. As a result, a positive correlation was found between academic achievement and the use of library resources and services according to gender, year and academic subject. In addition, academic library usage had a positive significant influence on academic achievement. Students who used more library resources and facilities ultimately get better grades.

• Korean Journal of Adult Nursing
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• v.18 no.3
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• pp.377-385
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• 2006

Purpose: This study were to examine the relationship among chronic pain, pain beliefs, pain coping, and fatigue and to define the main factors influencing chronic pain in the elderly. Method: Data were collected by self-reported questionnaires from 276 Korean elderly. Data analysis was done with SPSS 10.1 for descriptive statistics, t-test, ANOVA, Pearson Correlation Coefficient, and Stepwise multiple regression. Results: Chronic pain score was 5.45, which was slightly higher than the average. There were significant differences in chronic pain according to age, marital state, economic state, and duration of pain. There was a significant positive correlation between chronic pain and pain beliefs, passive pain coping, physical fatigue and mental fatigue. In addition, there was a significant negative correlation between chronic pain and active pain coping. Stepwise multiple regression analysis showed that 44% of the variance in chronic pain was significantly accounted for by passive pain coping(31%), pain beliefs(8%), physical fatigue(4%), and active pain coping(1%). Conclusion: These results suggested that pain beliefs, pain coping, and fatigue can be influencing factors on chronic pain for the elderly. Also, the findings can provide a basis for nursing intervention development to effectively manage chronic pain for the elderly.