• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.41-52
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• 2006

Because most common assumption is normality in statistical analysis, testing normality is very important. The Q-Q plot is a powerful tool to test normality with full samples in statistical package. But the plot can't test normality in type-II censored samples. This paper proposed the modified the Q-Q plot and the modified normalized sample Lorenz curve(NSLC) for normality test in the type-II censored samples. Using the two Hodgkin's disease data sets and the type-II censored samples, we picture the modified Q-Q plot and the modified normalized sample Lorenz curve.

• Industrial Engineering and Management Systems
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• 제15권1호
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• pp.110-121
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• 2016

With the growing interest in skincare and maintenance, there are increasing numbers of studies on the classification of skin type and the factors influencing each type. This study presents a novel methodology by using data mining, for the determination of the relationships between skin type, lifestyle, and patterns of cosmetic utilization. Eight skin-specific factors, which are moisture, sebum in U-zone (both cheeks), sebum in T-zone (forehead, nose, and chin), pore, melanin, wrinkle, acne, hemoglobin, were measured in 1,246 subjects living in South Korea, in conjunction with a questionnaire survey analyzing their lifestyles and pattern of cosmetic utilization. Using various multivariate statistical methods and data mining techniques, we classified the skin types based on the skin-specific values, determined the relationship between skin type and lifestyle, and accordingly sorted the subjects into clusters. Logistic regression analysis revealed gender-related differences in the skin; therefore, separate analyses were performed for males and females. Using the Gaussian Mixture Modeling (GMM) technique, we classified the subjects based on skin type (two male and four female). Using the ANOVA and decision tree techniques, we attempted to characterize the relationship between each skin type and the lifestyles of the subjects. Menstruation, eating habits, stress, and smoking were identified as the major factors affecting the skin.

• 한국생활과학회지
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• 제18권6호
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• pp.1303-1314
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• 2009

The purpose of this study lies in examining the characteristics of differentiated body types for plus-size women and obtaining basic data for the wide-ranging choices of ready-made clothing in a consumer's place. The results of this study displayed no significant differences for subjects in their 30s and 40s in comparison to standards by ages but showed a significant difference with subjects in their 50s when compared with the data from Size Korea (2004). Research data in the height and length categories were lower, and the majority of data from the other categories were higher. In order to analyze the characteristics of a plus-size woman's body, 4 factors were differentiated into 3 types with 17 categories: Factor 1 was the element of the thickness of the trunk, factor 2 was the element of the thickness of the lower body and legs, factor 3 was the element of shoulder size and factor 4 was the element of the upper body length. The accumulation rate was shown to be 74.47%. The characteristics for each type were as follows: Type 1 is a body type with a relatively thin waist, small width and girth of upper body and curvy lower body, type 2 is the average body type, and type 3 is a body type with big breasts and abdominal obesity. The standard body type belonged to type 2. According to the correspondency test between age and type, the characteristics of type 1 corresponded relatively close to the measures of subjects in their 40s and relatively far from subjects in their 30s to 50s while type 2 and type 3 appeared to be similar to subjects in their 50s.

• Journal of the Korean Data and Information Science Society
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• 제25권1호
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• pp.211-218
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• 2014

Qu et. al. (2000) proposed the quadratic inference functions (QIF) method to marginal model analysis of longitudinal data to improve the generalized estimating equations (GEE). It yields a substantial improvement in efficiency for the estimators of regression parameters when the working correlation is misspecified. But for the longitudinal data with time-dependent covariates, when the implicit full covariates conditional mean (FCCM) assumption is violated, the QIF can not provide more consistent and efficient estimator than GEE (Cho and Dashnyam, 2013). Lai and Small (2007) divided time-dependent covariates into three types and proposed generalized method of moment (GMM) for longitudinal data with time-dependent covariates. They showed that their GMM type II and GMM moment selection methods can be more ecient than GEE with independence working correlation (GEE-ind) in the case of type II time-dependent covariates. We develop upgraded QIF method for type II time-dependent covariates. We show that this upgraded QIF method can provide substantial gains in efficiency over QIF and GEE-ind in the case of type II time-dependent covariates.

• 한국정보과학회논문지:소프트웨어및응용
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• 제36권5호
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• pp.386-395
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• 2009

다계층 구조로 설계된 현대의 분산 애플리케이션 아키텍처에서 비즈니스 엔티티는 모든 서비스 로직 컴포넌트들을 관통하는 일종의 횡단관심사(Crosscutting Concerns)이다. 그러므로 비즈니스 엔티티가 변화하면 이와 관련된 서비스 컴포넌트들은 비록 애플리케이션 프레임워크의 공통적인 기능을 구현한 서비스 로직 컴포넌트라 할지라도 새로운 비즈니스 엔티티를 다를 수 있도록 수정되어야 한다. 본 논문에서는 비즈니스 엔티티, 즉 외부화(externalized)된 데이터에 대한 가변성(variability)을 처리하는 DTT 컴포넌트 모델(Data Type-Tolerant Component Model)을 제시한다. DTT 컴포넌트 모델은 SCDT(Self-Contained Data Type)와 가변점(Variation Point) 인터페이스를 통해 프로덕트 라인의 데이터 가변성을 구현 수준에서 구체적으로 표현하고, 서비스 컴포넌트 코드 수정대신 비즈니스 엔티티와 SCDT간 타입 변환을 지원하는 데이터 타입 컨버터를 도입함으로써 애플리케이션 엔지니어링 효율을 향상시킨다. 서비스 컴포넌트가 외부화된 비즈니스 엔티티를 직접 다루지 않고 SCDT 만을 다루게 함으로써 데이터와 함수의 커플링을 다시 컴포넌트 수준에서 로컬화했다는 점이 DTT 컴포넌트 모델의 의의라 할 수 있다.

• 대한기계학회논문집B
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• 제26권12호
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• pp.1729-1737
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• 2002

A mathematical model for the prediction of carbon-dioxide absorption rate during the transient state of rotary type absorber is developed. The rotary type absorber operates using a fast rotating porous structure and clean water. The model for the transient state rotary type absorbers is based on the steady state model of packed tower absorber. The paper manipulates the operating data of an arbitrary quasi-steady state condition of rotary type absorber for the determination of the coefficients involved in the model developed. The prediction accuracy is evaluated from the measured data of rotary type absorber operated under fast transient state. The measured data include the mole fraction of carbon dioxide in mixed gas and the pressure of absorber. The relative error in carbon dioxide prediction is estimated to be 20% at maximum. The model is successfully applied for the prediction of the behavior of a closed cycle diesel engine.

• 셀메드
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• 제4권3호
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• pp.21.1-21.5
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• 2014

The purpose of this study is to determine the type-2 diabetes risk status of the individuals applying to the internal diseases outpatient clinic and the affecting factors. This descriptive study was conducted on 500 individuals who applied to the internal diseases department of a hospital in Ordu Turkey, between May and June 2010 without diabetes diagnosis. The questionnaire form and Type 2 Diabetes Risk Assessment Form are used to collect the data. For the evaluation of data; independent samples t-test and One-Way Anova are used to evaluate the data. It is determined that the type-2 diabetes risk an score of the individuals participating in the study is $10.4{\pm}5.5$ and 32.4% of them have low type-2 diabetes risk score, 26.6% have slightly elevated score, 18% have moderate score, 16.6% have high and 6.4% have very high type-2 diabetes risk score. It is found that the type-2 diabetes risk mean score of the women participating in the study who are adults, are married, have low education level, are unemployed, are non-smoker, do not drink alcohol and do not have any information about type-2 diabetes is statistically significantly high (p < 0.05). It is determined that 16.6% of the individuals participating in the study have high type-2 diabetes risk and 6.4% have very high type-2 diabetes risk.

• Journal of the Korean Data and Information Science Society
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• 제14권3호
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• pp.571-578
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• 2003

In this paper, we consider two components system which have bivariate weibull model with bivariate type I censored data. We proposed maximum likelihood estimator and relative frequency estimator for the reliability of series system. Also, we construct approximate confidence intervals for the reliability based on the two proposed estimators. And we present a numerical study.

• 대한가정학회지
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• 제35권6호
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• pp.15-24
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• 1997

The objective of this study were to examine the relationships between clothing design preference, clothing attitude and sex role identity. Using the data collected through interview questions. 200 subjects who were 60years of age and older in Kunsan, Korea, the data were analyzed using $X^2$-test. The results of the study were the followings. 1. The androgynous type liked two button single jacket and the masculine and indifferentiate type three button single jacket, while the femin type liked soutien collar jacket in their woman. 2. The androgynous type' purchase motive was 'enough money' 'finding like clothing' while the masculine type's 'to attend meeting'. The feminine type's motive was 'enough money' and the indifferentiate type 'to attend meeting'. Clothing selection motive was more influenced the androgynous type than the feminine and indifferentiate type by 'design'. 3. The androgynous type felt 'indifferent' for dare clothing of the aging, the masculine type 'hate', the feminine type 'I like to', and the indifferentiate type 'look so good'.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2001년도 추계학술발표논문집 (하)
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• pp.1379-1382
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• 2001

본 논문에서는 ATM 망에서의 통합 네트워크 구현을 위한 IP data packet를 처리하기 위한 AAL type5 프로토콜 프로세서를 설계 및 구현하였다. AAL 계층의 중요 기능들은 ITU-T Recommendation 1.363과 1.363.5 에 근거하여 설계하였다. AAL 계층의 주요한 역할은 데이터의 Segmentation 및 셀의 Reassembly를 하는 것으로, Segmentation 과정에서는 상위 계층의 연속적인 데이터를 Segmentation하여 53-byte 크기의 ATM 셀을 구성하는 기능이다. Reassembly 과정에서는 들어오는 셀들을 연속적인 데이터로 만들어 AAL 계층 보다 상위 계층으로 전달하는 것이다. 이 과정에서 셀의 Header 를 확인한 후 crc-32를 통한 오류 검정을 거치게 되며, 데이터에 오류가 있을 경우에는 해당 셀을 버리고 오류가 없을 시에만 상위 계층으로 전달한다. 본 논문에서 구현한 AAL Type 5 프로세서는 향후 모든 Type의 data를 수용하는 칩 개발에 유용할 것으로 사료된다. 본 논문에서 원할한 테스트를 위해 데이터의 loop back 신호 DLB를 사용했다 VHDL 해석기로는 Synopsys 사의 VHDL Analyzer를 사용하였고, Design Compiler로 회로를 합성하였다.