• 응용통계연구
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• 제28권6호
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• pp.1191-1208
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• 2015

대부분의 통계분석방법은 요약통계량에 의존하지만 그래픽적 방법을 이용하면 자료의 특성을 파악하기 쉽고 통계량만으로는 알아낼 수 없는 부분까지도 접근이 가능하다. 그래프를 통한 로지스틱회귀모형의 평가 방법으로 로그-밀도비를 통한 검토, 차원 검토, 주변모형산점도, 카이잔차산점도, CERES 그림을 알아보고 모의자료들을 통해 다양한 상황에서 그래픽적 방법들 어떠한 결과를 나타내지를 비교 검토한다.

• 한국건설관리학회논문집
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• 제7권1호
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• pp.80-88
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• 2006

일반적으로 건설 그래픽 시뮬레이션은 기하모델에 국한되어 건설장비 및 재료의 물리적인 특성을 반영하지 못하고 있어 건설과정을 현실과 유사하게 모사하는데 있어 그래픽 시뮬레이션에 한계를 보이고 있다 된 연구에서는 기하모델에 국한된 시뮬레이션 시스템의 기능개선을 도모하기 위하여 크레인 작업에 한정하여 크레인 케이블의 추진동과 같이 건설자재 및 장비의 물리적 특성을 고려한 물리적 모델과 기하모델과의 연계를 통하여 기존 현장에서 고려하지 못한 건설장비의 시뮬레이션의 한계를 극복하고자 하였다. 본 연구에서 적용된 타워크레인 활차의 이동과 붐의 회전에 따른 케이블의 흔들림에 관한 운동방정식을 세우고 수치해석 절차를 거쳐 이 결과를 그래픽 시뮬레이션을 통하여 시각적으로 묘사함으로써 물리적 모델링에 근거한 현실적 건설과정 묘사로 향후 복잡 다변화되고 있는 건설현장에서의 장비 운영에 따른 사전 안정성 확보와 시공성 향상에 이바지 할 수 있을 것이며, 여러 유사관련 분야에서 활용될 것으로 기대된다.

• 대한산업공학회지
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• 제42권4호
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• pp.249-255
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• 2016

Recently, transaction data is accumulated everywhere very rapidly. Association analysis methods are usually applied to analyze transaction data, but the methods have several problems. For example, these methods can only consider one-way relations among items and cannot reflect domain knowledge into analysis process. In order to overcome defect of association analysis methods, we suggest a transaction data analysis method based on probabilistic graphical model (PGM) in this study. The method we suggest has several advantages as compared with association analysis methods. For example, this method has a high flexibility, and can give a solution to various probability problems regarding the transaction data with relationships among items.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.105-110
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• 1998

This paper proposes a graphical user interface for industrial robot systems. Previous user interfaces for industrial robot systems were based on the text. In order to enable operators to handle robots more efficiently, a set of graphical tools is provided. The graphical tools contain a control panel for operating robots and compiling robot programs, a graphical teaching panel for handling virtual robots and a graphical monitoring panel for checking robot status. Furthermore, the proposed GUI can be used to operate remote robots because it has network utilities. This system consists of the virtual mode and the real mode. The user can handle a 3D virtual solid model of the robot in the virtual mode and an actual robot in the real mode.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2002년도 추계 학술발표회 논문집
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• pp.293-298
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• 2002

We propose an improved version of Kim (2000) to the effect that in principle we may deal with a graphical model of any size. Kim (2000) proposed a method of estimating parameters for a model of categorical variables which is too large to handle as a single model. We applied the proposed method to a simulated data of 158 binary variables.

• 응용통계연구
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• 제22권1호
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• pp.189-195
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• 2009

A dynamic graphical procedure is suggested to estimate optimal response transformation parameter and a curvature function of covariates in the regression model. Augmented partial residual plot is chosen for specifying a curvature. The proposed method is compared with a different approach (Soo, 2007) and is investigated efficiency by applying it to the real and the artificial data. The method is also extended to the 3D graphical situations.

• Communications for Statistical Applications and Methods
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• 제2권2호
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• pp.310-319
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• 1995

We represent graphically the relationship of hierachical log linear models by regarding the values of the likelihood ratio statistics as the squared norm of the corresponding vectors. Right angled triangles, tetrahedrons, and modified polyhedrons are used for graphical description. We find that the angle between the two vectors depends on the coefficient of determination and the partial coefficent of determination. Thess graphical descriptions could be applied to the model selection method.

• 한국과학교육학회지
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• 제27권8호
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• pp.677-692
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• 2007

In this study, university students were provided with repeated opportunities to represent their ideas graphically, and to examined via their drawings the extent to which they could visualize macroscopic phenomena microscopically. These drawings provided insight into the students' basic understanding of solution chemistry, revealing three conceptual models: the Undifferentiated Symbolic Model, the Particulate Model, and the Symbolic Ionic Model. Generally speaking, students who had poor conceptual understanding tended to exhibit the Undifferentiated Symbolic Model, whereas students with deeper understanding tended to employ the Symbolic Ionic Model. Students' conceptual comprehension was predictable from their graphical representations, which better elucidated what they actually comprehended about the phenomena, as opposed to their ambiguous verbal descriptions alone. The results of this study demonstrated a lack of development in university students' conceptions of solutions. Their weakness in understanding at the molecular-level became more obvious when they were asked to represent their ideas in drawings. Few students exhibited expert knowledge, and several common misconceptions were found, which indicated typical difficulties students have perceiving common phenomena at the molecular level. The findings of this study illustrate how eliciting graphical representations can be used to assess students' conceptual understandings.

• Communications for Statistical Applications and Methods
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• 제6권1호
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• pp.1-10
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• 1999

When the component proportions in mixture experiments are restricted by lower and upper bounds multicollinearity appears all too frequently. The ridge regression can be used to stabilize the coefficient estimates in the fitted model. I propose a graphical method for evaluating the mixture component effects of ridge regression estimator with respect to the prediction variance and the prediction bias.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2000년도 추계학술발표회 논문집
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• pp.187-191
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• 2000

In the analysis of repeated measurements, multivariate regression models that account for the correlations among the observations from the same subject are widely used. Like the usual univariate regression models, these multivariate regression models also need some model diagnostic procedures. In this paper, we propose a simple graphical method to detect outliers and to investigate the goodness of model fit in repeated measures data. The graphical method is based on the quantile-quantile(Q-Q) plots of the $X^2$ distribution and the standard normal distribution. We also propose diagnostic measures to detect influential observations. The proposed method is illustrated using two examples.