• Journal of Information Processing Systems
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• 제10권3호
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• pp.429-442
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• 2014

In this paper, we investigated the use of seasonal autoregressive integrated moving average (SARIMA) time series models for fault detection in semiconductor etch equipment data. The derivative dynamic time warping algorithm was employed for the synchronization of data. The models were generated using a set of data from healthy runs, and the established models were compared with the experimental runs to find the faulty runs. It has been shown that the SARIMA modeling for this data can detect faults in the etch tool data from the semiconductor industry with an accuracy of 80% and 90% using the parameter-wise error computation and the step-wise error computation, respectively. We found that SARIMA is useful to detect incipient faults in semiconductor fabrication.

• 한국심리학회지 : 문화 및 사회문제
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• 제16권4호
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• pp.447-468
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• 2010

본 연구의 목적은 자기회귀 교차지연 모델 (ARCL: autoregressive cross-lagged model)을 통해 검증된 청소년 비행과 일탈적 자아개념의 상호적 인과관계(이은주, 정익중, 2009)를 잠재 상태-특성 자기회귀 모델 (LST-AR: latent state-trait autoregressive model)의 적용을 통해 재검증하는데 있다. 일반적으로 상호적 인과관계의 검증을 위해 ARCL 모델이 적용되지만, 일탈적 자아개념이 갖고 있는 특성적 요인의 변량을 통제하지 않은 상태에서 비행과의 상호적 영향을 분석하게 되면 비행이 일탈적 자아개념에 미치는 영향에 대한 해석이 왜곡될 수 있다. 따라서 LST-AR 모델을 통해 일탈적 자아개념의 안정적 특성 및 변동적 상태를 구분하고, 특성적 요인을 통제한 후 상태적 일탈자아와 비행의 상호적 인과관계를 살펴보았다. 본 연구의 분석에는 한국청소년패널조사의 중2에서 고3까지 5년 종단자료가 활용되었다. 연구결과, 일탈적 자아개념과 비행의 상호적 인과관계가 재검증되었을 뿐만 아니라 일탈적 자아개념의 안정적 특성 및 변동적 상태 요인에 따라 비행과의 상호적 인과관계가 다를 수 있음도 확인되었다. 마지막으로 상호적 인과관계의 연구에서 안정적 특성과 변동적 상태 요인의 구분에 대한 방법론적 의미가 논의되었다.

• 가정과삶의질연구
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• 제26권6호
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• pp.135-141
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• 2008

This longitudinal study investigated the causal relationships between academic achievement and self-esteem using data from a 4-year investigation(2003-2006). Academic achievements and self-esteem were assessed for a sample of adolescents (male 187, female 201) in KYPS (Korea Youth Panel Survey). Cross-lagged autoregressive analyses indicated that for academic achievement and self-esteem, these two variables were reciprocally interrelated in middle school. However, thereafter, middle school 3rd grade students' self-esteem influenced high school 1st grade students' academic achievement, while high school 1st grade students' academic achievement influenced high school 2nd grade students' self-esteem.

• 아동학회지
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• 제37권6호
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• pp.5-17
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• 2016

Objective: This study focused on the longitudinal associations between self-esteem and peer relationships in Korean adolescents while considering gender and timing-early and late adolescence-differences. Methods: The study made use of data from the Korean Children and Youth Panel Survey. Three waves of data collected from 2,351 adolescents were analyzed by means of autoregressive cross-lagged modeling. Results: The results indicated that self-esteem predicted subsequent changes in peer relationship but not vice versa. Further, the results that longitudinal associations between self-esteem and peer relationships differed between male and female adolescents and between early and late adolescence. Conclusion: The findings revaluated the longitudinal relationship between self-esteem and peer relationships. Both gender and timing should be considered when planning interventions related issues about self-esteem and peer relationships in adolescence.

• Journal of the Korean Data and Information Science Society
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• 제27권5호
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• pp.1225-1239
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• 2016

We investigate pediatric tumor incidence data collected by the Florida Association for Pediatric Tumor program using various models commonly used in disease mapping analysis. Particularly, we consider Poisson normal models with various conditional autoregressive structure for spatial dependence, a zero-in ated component to capture excess zero counts and a spatio-temporal model to capture spatial and temporal dependence, together. We found that intrinsic conditional autoregressive model provides the smallest Deviance Information Criterion (DIC) among the models when only spatial dependence is considered. On the other hand, adding an autoregressive structure over time decreases DIC over the model without time dependence component. We adopt weighted ranks squared error loss to identify high risk regions which provides similar results with other researchers who have worked on the same data set (e.g. Zhang et al., 2014; Wang and Rodriguez, 2014). Our results, thus, provide additional statistical support on those identied high risk regions discovered by the other researchers.

• 한국안전학회지
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• 제16권1호
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• pp.88-93
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• 2001

본 연구에서는 복합소재인 GFRP(Glass Fiber Reinforced Polyester)의 2차원 절삭공정에서 절삭 메커니즘과 소재의 신뢰도 및 안전성과 밀접한 관련이 있는 표면정도를 중심으로 한 공정의 특성화를 시도하고, 주파수 분석에 관하여도 논의한다. 구체적으로는, 공정중 발생하는 절삭력 신호를 AR(Autoregressive) 모델링하여 해석에 사용한다. 특히, 특징추출과정을 통해 AR계수로 이루어진 패턴벡터 중 다양한 절삭 메카니즘에 민감한 계수만 선택할 수 있다. 이들 계수와 절삭 메커니즘과의 실험적 관계를 설정함으로써 섬유경사각(Fiber orientation angle), 절삭 변수 그리고 공구형상이 절삭 메커니즘에 미치는 영향을 평가하였다.

• 한국보육지원학회지
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• 제15권5호
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• pp.23-45
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• 2019

Objective: The purpose of this study is to identify the longitudinal reciprocal relationship between young children's vocabulary ability and physical aggression in young children. Methods: Two waves of panel data(2013/2015) from the Panel Study of Korean Children were analyzed in this study by using an adapted version of Autoregressive cross-lagged modeling. A total of 306 five-year-old and seven-year-old preschoolers, and their mothers participated in the study. Autoregressive cross-lagged modeling for multiple groups was conducted by using AMOS 24.0. Results: First, vocabulary ability and physical aggression showed stability over time. Second, young children's vocabulary ability(t) had a statistically significant effect on physical aggression(t+1). Conclusion/Implications: This study confirmed the interrelationships of young children's vocabulary ability and physical aggression by examining longitudinal data using the longitudinal analysis method. This study highlights the importance of developing interventions to support language development with aggressive children. The results of the present study can be used as a source in developing policies for aggressive children and their parents.

• Human Ecology Research
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• 제55권3호
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• pp.263-274
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• 2017

The purposes of this study were to verify the longitudinal mediating effects of work-family balance on the relationship of role recognition in the family, marital intimacy and job satisfaction of married women, and to introduce longitudinal mediating effects by using latent growth curve modeling and autoregressive cross-lagged modeling. The subjects were married women from the third year data of the Korean Longitudinal Survey of Women and Family. Structural equational models were conducted with Amos ver. 21.0. The major findings are as follows. First, the result of the longitudinal mediating effects of latent growth modeling is the rate of change of work-family balance mediated between the rate of change of role recognition in the family and the rate of change of job satisfaction, and the rate of change of work-family balance mediated between the rate of change of marital intimacy and the rate of change of job satisfaction. Second, when using the autoregressive cross-lagged modeling, the more role recognition and marital intimacy of third year were the more work-family balance of fourth year, job satisfaction of fifth year. In both models, work-family balance mediated between role recognition in the family, marital intimacy and job satisfaction. Therefore, through this study, mediating effects of work-family balance can be found that there was a longitudinal effects.

• 한국심리학회지ㆍ건강
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• 제16권3호
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• pp.609-622
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• 2011

본 연구는 주관적 안녕의 구성 성분 가운데 삶의 만족도 증진을 위한 개입 전략 수립에 중요한 근거가 될 수 있는 인과성에 대한 탐색을 시도하였다. 즉 삶의 만족도의 두 구성 요소인 전반적 삶의 만족도와 영역특정적 삶의 만족도 간 인과성을 탐색하였다. 이를 위해 207명의 대상자들로 부터 2주 간격의 연 이은 세 시점에서 전반적 삶의 만족도와 영역특정적 삶의 만족도를 측정하고 수집하였다. 통계자료 분석에는 구조방정식의 자귀회귀 교차지연 모형을 사용하였는데, 인과성을 분석하기 위한 방법으로서 본 모형을 적용함에 있어서 연구자가 채택한 논리와 방식을 이론적 배경에 서술하였다. 본 모형을 적용하여 수집 자료를 통계 분석한 결과 영역특정적 삶의 만족도가 전반적 삶의 만족도에 원인 변인으로 추정되었다. 이러한 결과는 삶의 만족도 증진을 위한 개입에 있어서 일차적 초점을 영역특정적 삶의 만족도 증진에 둘 때 전반적 삶의 만족도 또한 증진될 수 있으며, 이러한 경로의 흐름을 따를 때 삶의 만족도 증진이 보다 효율적으로 이루어질 수 있음을 의미한다. 논의에서는 연구방법 상의 논점과 연구결과가 지닌 함의, 그리고 연구의 제한점이 검토되었다.

• 아동복지연구
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• 제16권2호
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• pp.109-135
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• 2018

The purpose of this study was to analyze the longitudinal causal relationship between caregiver relations and peer relations of children in out-of-home care. We analyzed the three years(2011-2013) of longitudinal data from the Panel Study on Korean Children in Out-of-Home Care. The autoregressive cross-lagged model (ARCL) was used to measure the longitudinal causal relationship between caregiver relations and peer relations. As a result, first, caregiver relations and peer relations showed stability over time. In other words, the results of the measurement at three time points showed that the caregiver relations and peer relations at the previous time had a significant effect on the caregiver relations and peer relations at the later time point. Second, the previous caregiver relations had a significant effect on the subsequent peer relations over time. Third, the previous peer relations had a significant effect on the subsequent caregiver relations over time. This study confirmed the interrelationships of caregiver relations and peer relations of children in care by examining the longitudinal data using the longitudinal analysis method.