• 대한안전경영과학회지
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• 제9권3호
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• pp.165-171
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• 2007

Dependent models in quality statistics are classified as serially autocorrelated model, multivariate model and dependent sample model. Dependent sample model is most efficient in time and cost to obtain samples among the above models. This paper proposes to implement parametric and nonparametric models into production system depended on demand pattern. Nonparametric models have distribution free and asymptotic distribution free techniques. Quality statistical models are classified into two categories ; the number of dependent sample and the type of data. The type of data consists of nominal, ordinal, interval and ratio data. The number of dependent sample divides into 2 samples and more than 3 samples.

• 한국통계학회:학술대회논문집
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• 한국통계학회 2003년도 추계 학술발표회 논문집
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• pp.179-182
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• 2003

This study describes a new graphical method for assessing and characterizing effect modification by a matching covariate in matched case-control studies. This method to understand effect modification is based on a semiparametric model using a varying coefficient model. The method allows for nonparametric relationships between effect modification and other covariates, or can be useful in suggesting parametric models. This method can be applied to examining effect modification by any ordered categorical or continuous covariates for which cases have been matched with controls. The method applies to effect modification when causality might be reasonably assumed. An example from veterinary medicine is used to demonstrate our approach. The simulation results show that this method, when based on linear, quadratic and nonparametric effect modification, can be more powerful than both a parametric multiplicative model fit and a fully nonparametric generalized additive model fit.

• 한국생산제조학회지
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• 제7권5호
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• pp.38-45
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• 1998

The Z-map model which is quite similar to the non-parametric patch is widely used to describe the shape of a surface because of its simplicity. Despite the inherent advantage of z-map model. it has drawbacks that there exists difficulty in expressing the vertical walls and its related contact treatment method. In the region of vertical walls, there is a convergence problem in searching the contact point. In this study a contact point finding scheme is presented, based on the z value of the z-map model on the sheet normal direction. To show the utility of this scheme a compared with the experimental results. The effects of the Z-map grid distances and the interpolations of the inside Z-map value are also discussed.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.453-456
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• 2008

자기충전 콘크리트의 거푸집 측압에 대한 예측 모델 개발을 목표로 연구를 진행 중에 있다. 현재까지 거푸집 측압의 발현과 시간에 따른 변화를 일으키는 세 가지 메커니즘으로 고체입자의 재배열, 자유수의 이동 제한, 거푸집 변형의 회복지연을 제안하였고, 이들 각각에 대한 수학적 모델링이 이루어졌다. 이를 바탕으로 실제 거푸집 측압의 계산 방법을 개발하고, 모델에 사용된 변수에 대한 parametric study를 통해 예측모델의 성능(predictive capability)을 검증하였다. 그 결과 예측 모델이 포함하고 있는 변수들을 통해 실제의 측압 거동을 충분히 반영할 수 있다는 것을 확인하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.557-557
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• 2015

To overcome main drawbacks of parametric models, k-nearest neighbor resampling (KNNR) is suggested for water quality analysis involving geographic information. However, with KNNR nonparametric model, Geographic information is not properly handled. In the current study, to manipulate geographic information properly, we introduce a depth function which is a novel statistical concept in the classical KNNR model for stormwater quality simulation. An application is presented for a case study of the total suspended solids throughout the entire United States. Total suspended solids concentration data of stormwater demonstrated that the proposed model significantly improves the simulation performance rather than the existing KNNR model.

• Steel and Composite Structures
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• 제33권2호
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• pp.181-194
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• 2019

This paper presents an efficient approach to generate a new empirical formula to predict the axial compression capacity (ACC) of circular concrete-filled tube (CCFT) columns using the artificial neural network (ANN). A total of 258 test results extracted from the literature were used to develop the ANN models. The ANN model having the highest correlation coefficient (R) and the lowest mean square error (MSE) was determined as the best model. Stability analysis, sensitivity analysis, and a parametric study were carried out to estimate the stability of the ANN model and to investigate the main contributing factors on the ACC of CCFT columns. Stability analysis revealed that the ANN model was more stable than several existing formulae. Whereas, the sensitivity analysis and parametric study showed that the outer diameter of the steel tube was the most sensitive parameter. Additionally, using the validated ANN model, a new empirical formula was derived for predicting the ACC of CCFT columns. Obviously, a higher accuracy of the proposed empirical formula was achieved compared to the existing formulae.

• 한국지구과학회지
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• 제38권1호
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• pp.80-90
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• 2017

FEM 수치해석을 위한 사면체격자 생성을 위해서는 물체의 볼륨정보를 표현할 수 있는 Boundary Representation (B-Rep) 모델이 필요하다. 공학분야에서는 파라메트릭 솔리드 모델링(Parametric Solid Modeling) 방법을 사용하여 B-Rep 모델을 정의한다. 반면 지질모델링은 메쉬 기반의 불연속(discrete) 모델링 방법을 사용하는데 이를 지질솔리드모델(Sealed Geological Model)이라 부르며 지층, 단층, 관입암, 모델 경계면과 같은 지질학적 인터페이스들을 이용해 지질도메인을 정의한다. 공학분야의 파라메트릭 모델링과 불연속 모델링 방식의 자료구조의 차이로 인해 불연속 B-Rep 모델은 공학분야에서 사용하는 다양한 오픈소스, 상용 메쉬제작 소프트웨어와 쉽게 호환되지 않는다. 이 논문에서는 공학용 메쉬 제작 소프트웨어와의 호환성을 가지도록 지질솔리드모델을 대표적인 오픈소스인 Gmsh와 상용 FEM 해석 소프트웨어인 COMSOL로 변환하는 프로그램을 제작하였다. 지질모델링 소프트웨어를 통해 제작한 복잡한 지질구조모델을 사용자 편의성을 갖춘 다수의 상용 소프트웨어서 쉽게 활용할 수 있어 지열, 암석역학 등 다양한 지구과학 시뮬레이션 연구에 도움이 될 것으로 생각된다.

• 한국음향학회지
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• 제38권5호
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• pp.485-493
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• 2019

파라메트릭 어레이란 매질의 비선형성을 이용하여 작은 크기의 방사판에서 고지향성 저주파음을 발생시키는 현상을 말한다. 이러한 파라메트릭 어레이의 유용성을 높이기 위해 저주파 음향 빔 조향 연구가 진행 되고 있으며, PD(Product Directivity) 모델을 이용하여 빔 조향 현상이 간편하게 예측되고 있다. 그러나 PD 모델은 준선형 조건에서 가우시안 음원만 적용이 가능하며, 저주파 음향 빔 폭의 예측 정확성이 떨어진다. 본 논문에서는 PD 모델의 한계를 극복할 수 있는 파라메트릭 어레이의 빔 조향 특성 예측 방법에 대해 연구하였다. 이를 위해 파라메트릭 어레이 현상 예측에 널리 사용되는 KZK(Khokhlov-Zabolotskaya-Kuzentsov) 방정식의 수치 해석 알고리즘을 개선하였다. 그리고 전기적 조향 조건을 적용하여 빔 조향 특성을 계산, 실험 결과와 비교 하였다. 그 결과 개선된 알고리즘을 이용하면 준선형 조건에 해당되지 않는 파라메트릭 어레이 음원에서도 저주파 빔 조향 특성 예측이 가능함을 확인하였다.

• International Journal of Aeronautical and Space Sciences
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• 제13권3호
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• pp.332-348
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• 2012

The present study deals with the parametric resonance behaviour of laminated composite curved shell panels in a hygrothermal environment using Bolotin's approach. A simple laminated model is developed using first order shear deformation theory (FSDT) for the vibration and dynamic stability analysis of laminated composite shells subjected to hygrothermal conditions. A computer program based on the finite element method (FEM) in a MATLAB environment is developed to perform all necessary computations. Quantitative results are presented to show the effects of curvature, ply-orientations, degree of orthotropy and geometry of laminates on the parametric instability of composite curved shell panels for different temperature and moisture concentrations. The excitation frequencies of laminated composite panels decrease with the increase of temperature and moisture due to reduction of stiffness for all laminates.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.1018-1023
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• 1993

In mechanical structure design area, many FEM (Finite Element Method) packages are used. But the design using FEM packages depends on an iterative trial and error manner and general CAD systems cannot cope with the change of parameters. This paper presents a methodology for building a designing system of a mechanical structure. This system can generate the drawing for a designed structure automatically. It consists of three steps: generation of a structure by selection of the parameters, stress analysis, and generation of a drawing using CAD system. FEM module and parametric CAD module are developed for this system. Inference engine module generates the parameters with a rule base and a model base, and also evaluates the current structure. The parametric design module generates geometric shapes automatically with given dimension. Parametric design is implemented with the artificial intelligent technique. In older to the demonstrate the effectiveness of the developed system, a frame set of bicycle was designed. The system was implemented on an SUN workstation using C language under OpenWindows environment.