• 소성∙가공
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• 제29권2호
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• pp.76-88
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• 2020

The need for advanced high strength steel (AHSS) forming technology is increasing as interest in light weight and safe automobiles increases. Multipoint dieless forming (MDF) is a novel sheet metal forming technology that can create any desired longitudinal and transverse curvature in sheet metal. However, since the springback phenomenon becomes larger with high strength metal such as AHSS, predicting the required MDF to produce the exact desired curvature in two directions is more difficult. In this study, a prediction model using artificial neural network (ANN) was developed to predict the springback that occurs during AHSS forming through MDF. In order to verify the validity of model, a fit test was performed and the results were compared with the conventional regression model. The data required for training was obtained through simulation, then further random sample data was created to verify the prediction performance. The predicted results were compared with the simulation results. As a result of this comparison, it was found that the prediction of our ANN based model was more accurate than regression analysis. If a sufficient amount of data is used in training, the ANN model can play a major role in reducing the forming cost of high-strength steels.

• 응용통계연구
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• 제27권6호
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• pp.923-932
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• 2014

허들모형은 영이 과잉 가산자료를 분석하기 위해서 사용되어 왔다. 이 모형은 이산부분을 위한 로짓모형과 절삭된 가산부분을 위한 절삭된 포아송모형의 혼합모형이다. 이 논문에서 우리는 경시적 영과잉 가산자료를 분석하기 위해서 수정된 콜레스키 분해을 이용하여 일반적인 이분산성을 가지는 변량효과 공분산행렬을 제안한다. 수정된 콜레스키 분해는 변량효과 공분산행렬을 일반화자기상관 모수와 혁신분산모수로 분리되면, 이러한 모수들은 베이지안 일반화 선형모형을 통해 추정된다. 그리고 실제 자료분석을 통하여 설명한다.

• 정신간호학회지
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• 제27권4호
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• pp.321-331
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• 2018

Purpose: The purpose of this study was to identify factors influencing decreasing depressive mood of married women with depression. Methods: Data that integrate the Korean longitudinal survey of women and families in 2014 and 2016 were used. Subjects for this study were 974 people who participated in the fifth survey in 2014 and the sixth survey in 2016, and married women were included in the depression group in the fifth survey. The data was analyzed with $x^2$ test, t-test, and logistic multiple regression analysis using the SPSS 23.0 program. Results: The decreased-depression group's depression decreased from 11.78 points in the fifth survey to 6.31 points in the sixth survey. This study showed that main factors such as age (OR=0.96, p=.002), educational level (OR=0.54, p=.007), economical status (OR=0.62, p=.037), satisfaction with marriage life (OR=1.15, p<.001), use of medical services (OR=1.65, p=.002), and physical activity (OR=1.08, p=.019) help decrease married women's depression. Conclusion: This study findings indicate a need to develop the strategies to increase satisfaction for marriage life and physical activity and to enhance health promotion to decrease depression among depressed married women.

• 한국과학교육학회지
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• 제19권2호
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• pp.194-203
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• 1999

The purpose of this study was to longitudinally analyze Korean students' trend on science-related affective characteristics and provide descriptive data for improving the quality of Korean science education. In this longitudinal study. 3603 students and 4737 students were sampled in elementary and secondary schools. respectively in January 1997 and March 1998. The result showed that students' affective characteristics were decreased with statistical significance(p<0.05) during elementary and junior high school periods. but students' affective characteristics were increased during high school period. Affective characteristics of male were significantly higher than those of females' (p<0.05). Difference on affective characteristics between female and male students was being decreased by increasing grades. Students' affective characteristics in metropolitan areas were significantly higher than those in regional areas and difference between them was increased in 1999 comparing to 1997. The students' affective characteristics in 1999 were lower than those in 1997 totally.

• 대한건축학회논문집:구조계
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• 제36권2호
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• pp.117-126
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• 2020

The main objective of this experimental study is to investigate shear strength of reinforced concrete beams according to longitudinal reinforcement ratio (ρ) and size effect. In order to find out the shear strength according to the tensile reinforcement ratio, in particular, the main variables are 100%, 75% and 50% of ρ=0.01 which is widely used in construction field. A total of twelve RC beams were tested under 4-point loading conditions. In addition to the existing proposal equations, the theoretical values such as KBC and ACI equations are compared with the experimental data. Through this analysis, this study is designed to provide more reasonable equations for shear design of reinforced concrete beams. When shear reinforcement bar spacing of nine specimens (R^*-1, R^*-2, and R^*-3 series) fixed as d/s=2.0 and three specimens of R^*-4 series fixed as d/s=1.5 are compared, the shear strength of two groups showed similar values. As a result, the current standard of d/s=2.0 for shear reinforcement bar spacing may be somewhat alleviated.

• 한국임상약학회지
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• 제34권2호
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• pp.118-125
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• 2024

Background: Numerous studies have consistently demonstrated that depression can be associated with cognitive function decline, primarily focusing on older adults due to the neurodegenerative characteristics of dementia. With persistent depression frequently reported in patients with early-onset or young-onset dementia, this study aimed to assess the impact of depression, specifically the changes in depressive symptoms over time, on the risk of cognitive function decline in middle-aged adults in Korea. Methods: This retrospective study utilized data from the first four waves (2006-2012) of the Korean Longitudinal Study of Aging (KLoSA), focusing on middle-aged adults with normal cognitive function at baseline. Changes in depressive symptoms were categorized into four groups based on the CES-D score, and their association with cognitive function decline was evaluated using a multivariate logistic regression model. Results: Of the initial 10,254 participants, 3,400 were included in the analysis. Depressive status, particularly newly onset (adjusted odds ratio [aOR] 1.96; 95% confidence interval [CI] 1.32-2.93) and persistent depression groups (aOR 5.59; 95% CI 2.90-10.78), were significantly associated with cognitive function decline. In contrast, recovery from depressive symptoms was not significantly associated with cognitive function decline (p=0.809). Conclusions: Our study showed a significant association between changes in depressive symptoms and cognitive function decline in middle-aged Korean adults. This suggests that management of depressive symptoms could be crucial for the prevention of cognitive function decline in this population.

• 대한간호학회지
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• 제50권2호
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• pp.191-199
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• 2020

Purpose: The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI). Methods: This study was a secondary data analysis research using data from "the 4th Korea Longitudinal Study of Ageing" of the Korea Employment Information Service. A total of 6,405 individuals, including 1,329 individuals with MCI and 5,076 individuals with normal cognitive abilities, were part of the study. Based on the panel survey items, the research used 28 variables. The methods of analysis included a χ²-test, logistic regression analysis, decision tree analysis, predicted error rate, and an ROC curve calculated using SPSS 23.0 and SAS 13.2. Results: In the MCI group, the mean age was 71.4 and 65.8% of the participants was women. There were statistically significant differences in gender, age, and education in both groups. Predictors of MCI determined by using a logistic regression analysis were gender, age, education, instrumental activity of daily living (IADL), perceived health status, participation group, cultural activities, and life satisfaction. Decision tree analysis of predictors of MCI identified education, age, life satisfaction, and IADL as predictors. Conclusion: The accuracy of logistic regression model for MCI is slightly higher than that of decision tree model. The implementation of the prediction model for MCI established in this study may be utilized to identify middle-aged and elderly people with risks of MCI. Therefore, this study may contribute to the prevention and reduction of dementia.

• 응용통계연구
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• 제32권1호
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• pp.83-97
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• 2019

사회가 발전함에 따라 이용자의 다양한 분석 요구에 대응하기 위해 개인 단위로 구성된 마이크로데이터 제공이 증가했다. 나아가 센서스, 행정자료와 같은 전수자료를 마이크로데이터 형태로 제공받아 연구하고자 하는 요구 역시 커지고 있다. 정책결정, 학술목적 등을 위한 마이크로데이터 분석은 가치 창출 측면에서 대단히 바람직하다. 하지만 자료 유용성이 확보된 마이크로데이터 제공은 개인정보가 노출될 가능성이라는 위험을 가질 수 밖에 없다. 이에, 자료의 유용성을 확보하면서 개인정보보호를 보장할 수 있는 여러 방법들이 고려되어 왔다. 이러한 방법 중 하나로 재현자료(synthetic data)를 생성해서 활용하는 방법이 연구되어 왔다. 본 논문은 재현자료 생성과 관련된 방법론 및 주의사항을 소개하여, 재현자료의 이해를 도모하고자 한다. 이를 위해 재현자료 작성에 필수적인 다중대체, 베이지안 예측 모형 및 베이지안 붓스트랩 등의 개념들을 먼저 설명하고, 완전 재현자료 및 부분 재현자료에 대해 살펴본다. 특히, 재현자료 작성을 심도 깊이 이해하기 위해 순차회귀 다중대체(sequential regression multivariate imputation)를 이용해 경시적(longitudinal) 자료를 재현자료로 작성하는 구체적 사례를 살펴본다.

• 대한조선학회논문집
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• 제35권2호
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• pp.83-93
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• 1998

본 연구에서는 유조선 구조의 종강도부재를 대상으로 확률론적 부식예측모델을 개발하였다. 이를 위해 유조선 종강도부재의 부식계측자료를 수집하고, 구조 부위별로 통계분석을 통하여 부식속도(년간 부식량)의 평균치와 분산치를 계산하였다. 구조부재의 부식진행특성은 코팅방법이나 화물 적재방법에도 큰 영향을 받으며, 본 연구에서는 코팅방법에 따라 코팅수명이 달라진다는 점에 착안하여 부식속도특성에 대한 코팅수명의 영향을 분석하였다. 통계자료를 바탕으로 분석한 결과의 정도는 통계자료량에 의존하며, 본 연구에서는 추후 부식 계측자료가 더욱 축척되면 이들 자료의 추가 통계분석이 용이하도록 전용 해석프로그램을 개발하였다. 부식손상효과를 고려한 노후선박의 구조강도성능과 신뢰성을 평가하기 위하여는 선령의 증가에 따른 선체구조 주요부재의 부식속도를 예측할 수 있는 계산 모델이 필요하며, 본 연구에서 개발한 부식속도 예측모델은 그 같은 목적으로 유용하게 활용할 수 있으리라 기대된다.

• 대한가정학회지
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• 제49권9호
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• pp.59-72
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• 2011

This study examined whether there are underlying latent classes of growth trajectories of maternal depression in the Korean population. Data from the first phase of the Panel Study of Korean Children (PSKC) of the Institute of Child Care and Education (KICCE) were used for this study. The final sample of participants included 1,471 mothers, who completed three interviews: at birth, at one month, and at four months. A two-class model consisting of depression (12.3%) and non-depression (87.7%) was considered the best-fitting solution using Mplus 3.13. The changes in postnatal depression in the Korean population within four weeks after childbirth, which is the period of "postpartum onset", seem to be important. Logistic regression analysis showed that duration of breast-feeding and planned pregnancy effects were significantly associated with trajectory class membership.