• Communications for Statistical Applications and Methods
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• 제25권1호
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• pp.61-70
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• 2018

Modeling of the random effects covariance matrix in generalized linear mixed models (GLMMs) is an issue in analysis of longitudinal categorical data because the covariance matrix can be high-dimensional and its estimate must satisfy positive-definiteness. To satisfy these constraints, we consider the autoregressive and moving average Cholesky decomposition (ARMACD) to model the covariance matrix. The ARMACD creates a more flexible decomposition of the covariance matrix that provides generalized autoregressive parameters, generalized moving average parameters, and innovation variances. In this paper, we analyze longitudinal count data with overdispersion using GLMMs. We propose negative binomial loglinear mixed models to analyze longitudinal count data and we also present modeling of the random effects covariance matrix using the ARMACD. Epilepsy data are analyzed using our proposed model.

• Bulletin of the Korean Chemical Society
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• 제8권6호
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• pp.462-465
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• 1987

The aggregation between cationic and anionic surfactants was studied by turbidimetric and nephelometric methods with emphasis on facile analysis of the surfactants and understanding of the mixed micellization. The turbidimetric titration of sodium dodecylsulfate (SDS) with cetyltrimethylammonium bromide (CTAB) or cetylpyridinium bromide (CPB) showed maximum turbidity at equimolar composition in the SDS concentration range of 0.1-0.9 mM. The nephelometric titration of the same systems extended the limit of analysis to 0.001 mM. The sodium salts of decylsulfate and sulfonate gave similar maxima, but not at equimolar composition. The coexistence of equimolar aggregates and mixed micelles were shown over broad composition range. The aggregation and mixed micellization of the anionic/cationic surfactants mixtures depended sensitively on the hydrophobic character of the surfactants.

• Structural Engineering and Mechanics
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• 제69권4호
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• pp.427-437
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• 2019

In this study, an alternative solution procedure presented by using variational methods for analysis of shear deformable functionally graded material (FGM) beams with mixed formulation. By using the advantages of $G{\hat{a}}teaux$ differential approaches, a refined complex general functional and boundary conditions which comprises seven independent variables such as displacement, rotation, bending moment and higher-order bending moment, shear force and higher-order shear force, is derived for general thick-thin FGM beams via shear deformation beam theories. The mixed-finite element method (FEM) is employed to obtain a beam element which have a 2-nodes and total fourteen degrees-of-freedoms. A computer program is written to execute the analyses for the present study. The numerical results of analyses obtained for different boundary conditions are presented and compared with results available in the literature.

• 한국산업정보학회논문지
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• 제15권3호
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• pp.59-65
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• 2010

This paper proposes a modified heuristic mixed model assembly line (MMAL) balancing algorithm that provides consistent station assignments on a model by model basis as well as on a station by station. Basically, some of single model line balancing techniques are modified and incorporated to be fit into the MMAL. The proposed algorithm is based on N.T. Thomopoulos' [8] method and supplemented with several well proven single model line balancing techniques proposed in the literature until recently. Hoffman's precedence matrix [2] is used to indicate the ordering relations among tasks. Arcus' Rule IX [1] is applied to generate rapidly a fairly large number of feasible solutions. Consequently, this proposed algorithm reduces the fluctuations in operation times among the models as well as the stations and the balance delays. A numerical example shows that the proposed algorithm can provide a good feasible solution in a relatively short time and generate relatively better solutions comparing to other three existing methods.

• Communications for Statistical Applications and Methods
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• 제30권5호
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• pp.437-451
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• 2023

Generalized linear models and generalized linear mixed models (GLMMs) are fundamental tools for predictive analyses. In insurance, GLMMs are particularly important, because they provide not only a tool for prediction but also a theoretical justification for setting premiums. Although thousands of resources are available for introducing GLMMs as a classical and fundamental tool in statistical analysis, few resources seem to be available for the insurance industry. This study targets insurance professionals already familiar with basic actuarial mathematics and explains GLMMs and their linkage with classical actuarial pricing tools, such as the Buhlmann premium method. Focus of the study is mainly on the modeling aspect of GLMMs and their application to pricing, while avoiding technical issues related to statistical estimation, which can be automatically handled by most statistical software.

• Journal of Information Processing Systems
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• 제19권6호
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• pp.858-869
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• 2023

As one of the pivotal techniques of image restoration, single-channel blind source separation (SCBSS) is capable of converting a visual-only image into multi-source images. However, image degradation often results from multiple mixing methods. Therefore, this paper introduces an innovative SCBSS algorithm to effectively separate source images from a composite image in various mixed modes. The cornerstone of this approach is a novel triple generative adversarial network (TriGAN), designed based on dual learning principles. The TriGAN redefines the discriminator's function to optimize the separation process. Extensive experiments have demonstrated the algorithm's capability to distinctly separate source images from a composite image in diverse mixed modes and to facilitate effective image restoration. The effectiveness of the proposed method is quantitatively supported by achieving an average peak signal-to-noise ratio exceeding 30 dB, and the average structural similarity index surpassing 0.95 across multiple datasets.

• 교육시설
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• 제6권2호
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• pp.77-85
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• 1999

• 한국수학교육학회지시리즈C:초등수학교육
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• 제21권3호
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• pp.289-307
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• 2018

자연수의 혼합 계산은 초등학교에서 자연수의 사칙 계산을 완성하는 측면에서 중요한 내용임에도 불구하고, 그 지도 방안에 대한 연구가 많지 않다. 본 연구는 자연수의 혼합 계산과 관련하여 국내의 5차부터 2009 개정 수학 교과서와 국외(일본, 싱가포르) 교과서를 크게 괄호와 연산 순서에 초점을 두어 분석하였다. 분석 결과, 괄호를 명시적으로 제시한 횟수와 괄호 도입 시기 및 표현 방법에서 교육과정별로 교과서의 제시 방식에 차이가 있었다. 연산 순서와 관련하여 국내 교과서는 대체로 실생활 맥락을 활용하고 있었고 연산 순서를 도식화하여 표현하는 경우와 그렇지 않은 경우가 있었다. 반면, 싱가포르 교과서는 연산 순서를 직접적으로 제시하고 계산기 활용을 강조하는 측면이 있었으며, 일본은 실생활 맥락을 활용하면서 동시에 연산의 위계 지도를 제시하고 있었다. 이러한 분석 결과를 바탕으로 자연수의 혼합 계산에 대한 지도 방안 및 후속 교과서 개발에 대한 시사점을 논의하였다.

• 대한소아치과학회지
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• 제49권1호
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• pp.85-94
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• 2022

이 후향적 연구의 목적은 7 - 15세 사이의 혼합치열기와 영구치열기의 소아 및 청소년 환자에서 기존 교정 분석 방법과 인공 지능을 활용한 교정 분석 방법을 이용한 변수의 차이를 비교하여 평가하는 것이다. 교정 진단을 위해 측면 두부계측 방사선 사진을 촬영한 소아 환자 60명(혼합 치열기 30명, 영구치열기 30명)을 무작위로 선정하였다. V-ceph을 사용한 기존 분석 방법과 WebCeph를 사용한 딥 러닝 기반 분석 방법으로 1명의 검사자가 17개의 두부 측정 계측점을 식별하고, 22개의 측정 항목을 평가했다. 기존 분석 방법의 반복 측정으로 인한 오차는 Pearson의 상관 분석을 사용하여 평가하었다. 혼합치열군과 영구치열군에 대한 각각 두 방법의 차이는 paired t-test를 사용하여 평가하였다. 혼합치열군에서 두 분석 방법의 차이는 8개의 계측항목에서 통계적으로 유의하였다: APDI, SNA, SNB, Mandibular plane angle, LAFH (p < 0.001), Facial ratio (p = 0.001), U1 to SN (p = 0.012), and U1 to A-Pg (p = 0.021). 영구치열군에서는 두 분석 방법 간에 4개의 계측항목이 통계적으로 유의한 차이를 보였다: ODI (p = 0.020), Wits appraisal (p = 0.025), Facial ratio (p = 0.026), and U1 to A-Pg (p = 0.001). 많은 시간이 소요되는 기존의 교정 분석 방법과 비교하였을 때, 딥 러닝 기반 교정 분석 시스템은 측정의 신뢰성과 유효성 측면에서 임상적으로 허용될 수 있다. 하지만 소아 환자의 교정 분석을 위해 딥 러닝 기반 프로그램을 사용할 때에는 이러한 프로그램의 한계점을 인지하고 올바른 판단으로 사용하는 것이 중요하다.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2009년도 춘계 학술논문 발표대회 산업계
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• pp.65-68
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• 2009

Recently, the knowledge access about concrete might be 2 methods. One is approach about advanced and new technical development through the institute journal, the other is construction technology which is using at construction fields. However, there is no research for the interrelationship between them. So, this paper investigates the demands on construction fields at the ready mixed concrete plants on the 4 cities, the characteristics of the products like the maximum size of coarse aggregate and slump, and the extension of market on the high strength and flow ability concrete in 2000 and 2008. Moreover, this study would like to propose the investigation about diversification of construction materials for the fine construction cultures and development of the ready mixed concrete to the engineers at the construction fields.