• 한국지반신소재학회논문집
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• 제11권4호
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• pp.71-77
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• 2012

본 연구에서는 지반구조물에서 수집된 계측데이터를 대상으로 확률통계적 방법을 사용한 상태평가를 위한 분석기법과 자동화 프로그램을 개발하였다. 복잡한 지반구조물에 설치한 계측시스템으로부터 수집된 계측자료의 평가를 위해서는 자료처리(data driven) 기반의 비모수적(non-parametric) 모델링 방법이 유용할 것으로 판단된다. 실제 지반구조물(보강토옹벽 및 터널)에서 수집된 센싱 데이터를 이용하여 개발된 평가기법의 검증을 실시한 결과 환경적 요인과는 구별되는 구조적 거동을 확인할 수 있었다.

• 한국산학기술학회논문지
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• 제14권5호
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• pp.2505-2510
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• 2013

점토지반에서 횡방향하중을 받는 불균질말뚝과 균질말뚝의 거동에 영향을 미치는 인자를 파악하고 개발된 해석기법을 적용하여 매개변수 연구를 수행하였다. 매개변수연구에서 고려한 2개의 균질말뚝에 있어 말뚝 근입깊이에 따른 매개변수는 휨강성이 클수록 크게 계산되었다. 불균질말뚝에 대한 매개변수는 재료경계점에서 멀어짐에 따라 동일한 휨강성을 갖는 균질말뚝의 매개변수에 수렴하였다. 균질말뚝과 유사한 하중지지능력을 발휘할 수 있도록 하는 적절한 불균질말뚝의 상부길이를 결정하기 위해서는 균질말뚝과 불균질말뚝의 매개변수 변화양상과 해석을 통해 얻는 횡방향변위 및 부재력 등을 종합적으로 비교해야 한다.

• 한국유기농업학회지
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• 제24권2호
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• pp.169-188
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• 2016

The purpose of this study is to analyze willingness to pay (WTP) for organic agricultural products. To accomplish the objective of the study, a consumer survey was conducted. Based on the pilot survey results, parametric survival model was used to analyze the WTP for organic products. The estimation results showed that the WTP for organic agricultural products is 1.4-fold when compared with the conventional products, which is lower than the current price by about 30 percent. The analytical results also showed that such variables as gender, recognitions for organic agricultural products, and consumers' income have very significant effects on the WTP, and that there are no differences among WTPs by consumption goals. Based on major findings, the most effective countermeasure was suggested for expanding of organic food consumption through the premium reduction of organic products. Reducing the costs of production and distribution, supporting farmers' income by direct payment system were presented. Furthermore, it is needed to allocate more budget for promoting the consumption and distribution of organic agricultural products, and for enhancing conservation of agricultural environment.

• 한국디지털건축인테리어학회논문집
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• 제9권1호
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• pp.31-40
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• 2009

This study is intended to suggest methodologies in theory that is dedicated to improve existing features in BlM tool sets and introduce a new horizon for developing new features in the future so that more functionality can be provided to the work process of architect. To be more utilized of BlM tool sets in a useful way, it is important to make sure to program a calculation method used in the design process which is based on the information provided by architect, such as design item with detailed process and transformed parametric information on warranty data. Finding pros and cons in the usability from the well-known 3D modeling applications and taking highly usable UI features from the existing applications, and using a common wording were carried out. Design architect identifies reusable parametric information and then finds an algorithm between each items so that BlM tool sets can contribute to design field in the future. Therefore, the formula has been developed for the items considering business aspects and architecturing size in the preliminary-design, and design aspects in the schematic design with idendifying inputs and outputs that is necessary to become fixed factors.

• 대한공간정보학회지
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• 제20권4호
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• pp.145-151
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• 2012

본 연구는 최근 건설 산업의 큰 흐름으로 시도되고 있는 건설 공간 정보 모델링을 위한 BIM 핵심 기술 중 하나인 라이브러리와 관련되어 IFC와는 또 다른 관점에서 파라메트릭 모델링 및 알고리즘을 묘사할 수 있는 중립 라이브러리 개발을 위한 기술 요소와 효과적인 개발 방향을 제안한다. 이를 위해 최근 관련 연구를 고찰하고 현재 활용되고 있는 라이브러리를 이용한 대표적인 BIM 모델러인 Revit, ArchiCAD의 라이브러리 기술을 분석하였다. 분석된 결과를 바탕으로 BIM 파라메트릭 모델 구조 및 알고리즘 정의를 위한 기술적 공통 요소들을 분석하고 개념적인 연구를 통해 이런 요소들을 포함한 BIM 묘사 스크립트 언어 기반 중립 라이브러리 개발 방향을 제시하였다.

• 교육시설 논문지
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• 제20권5호
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• pp.11-18
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• 2013

This study has revisited the definition and characteristics of BIM to contribute to the better understanding of this concept. For the successful application of BIM in architectural design field, it should start with public buildings like schools which can be standardized. Since a number of conditions of school design appear to suit the schematic design phase for BIM application more than do other types of building design, the viability of BIM was examined by applying parametric modeling(one of BIM's basic characteristics) to mass study in schematic design phase for the configuration of schools that adopt the variation type of subject classroom design of the $7^{th}$ National Educational Curriculum. In addition, this modeling technique was used with software of Rhino 3D and Grasshopper, which will have a linkage to environmental analysis in near future. Finally, it can be expected that the work efficiency will be maximized if BIM is going to be applied in the early design stage instead of the end stage.

• 한국의상디자인학회지
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• 제21권2호
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• pp.109-122
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• 2019

The purpose of this study is to examine the clothing component information and attributes as the control parameters for the 3D modeling process of the biomorphic clothing sculpture using a parametric methodology. The 3D modeling parameters of biomorphic clothing sculpture were identified as exaggerated silhouette, surface texture, and digital color. The types of exaggerated silhouettes were shoulder and hip exaggeration, shoulder exaggeration, hip exaggeration, vertical exaggeration, and horizontal exaggeration. The types of surface texture were embossed, lacy, furry, and complex textures. The types of digital color were chrome, blur, blend, and acid colors. The characteristics of morphological representation due to the attributes of these control variables were identified as morphological variation, organic morphology, organizational morphology, and realistic morphology. As a result, it was found that the parameter attributes were applied to the biomorphic clothing sculpture parametric design process and developed into various shapes.

• Geomechanics and Engineering
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• 제29권3호
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• pp.301-310
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• 2022

Accurate prediction of mixed ground conditions ahead of a tunnel face is of vital importance for safe excavation using tunnel boring machines (TBMs). Previous studies have primarily focused on electrical resistivity surveys from the ground surface for geotechnical investigation. In this study, an FE (finite element) numerical model was developed to simulate electrical resistivity surveys for the prediction of risky mixed ground conditions in front of a tunnel face. The proposed FE model is validated by comparing with the apparent electrical resistivity values obtained from the analytical solution corresponding to a vertical fault on the ground surface (i.e., a simplified model). A series of parametric studies was performed with the FE model to analyze the effect of geological and sensor geometric conditions on the electrical resistivity survey. The parametric study revealed that the interface slope between two different ground formations affects the electrical resistivity measurements during TBM excavation. In addition, a large difference in electrical resistivity between two different ground formations represented the dramatic effect of the mixed ground conditions on the electrical resistivity values. The parametric studies of the electrode array showed that the proper selection of the electrode spacing and the location of the electrode array on the tunnel face of TBM is very important. Thus, it is concluded that the developed FE numerical model can successfully predict the presence of a mixed ground zone, which enables optimal management of potential risks.

• Wind and Structures
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• 제34권4호
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• pp.321-334
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• 2022

Irregularity in plan shape is very common for any type of building as it enhances better air ventilation for the inhabitants. Systematic opening at the middle of the facades makes the appearance of the building plan as a butterfly one. The primary focus of this study is to forecast the force, moment and torsional coefficient of a butterfly plan shaped tall building. Initially, Computational Fluid Dynamics (CFD) study is done on the building model based on Reynolds averaged Navier Stokes (RANS) k-epsilon turbulence model. Fifty random cases of irregularity and angle of attack (AOA) are selected, and the results from these cases are utilised for developing the surrogate models. Parametric equations are predicted for all these aerodynamic coefficients, and the training of these outcomes are also done for developing Artificial Neural Networks (ANN). After achieving the target acceptance criteria, the observed results are compared with the primary CFD data. Both parametric equations and ANN matched very well with the obtained data. The results are further utilised for discussing the effects of irregularity on the most critical wind condition.

• Asian-Australasian Journal of Animal Sciences
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• 제24권11호
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• pp.1525-1528
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• 2011

The purpose of this study was to detect SNPs that were responsible for a carcass trait in Hanwoo populations. A non-parametric model applying a restricted partition method (RPM) was used, which exploited a partitioning algorithm considering statistical criteria for multiple comparison testing. Phenotypic and genotypic data were obtained from the Hanwoo Improvement Center, National Agricultural Cooperation Federation, Korea, in which the pedigree structure comprised 229 steers from 16 paternal half-sib proven sires that were born in Namwon or Daegwanryong livestock testing station between spring of 2002 and fall of 2003. A carcass trait, longissimus dorsi muscle area for each steer was measured after slaughter at approximately 722 days. Three SNPs (19_1, 18_4 and 28_2) near the microsatellite marker ILSTS035 on BTA6, around which the quantitative trait loci (QTL) for meat quality were previously detected, were used in this study. The RPM analyses resulted in two significant interaction effects between SNPs (19_1 and 18_4) and (19_1 and 28_2) at ${\alpha}$ = 0.05 level. However, under a general linear (parametric) model no interaction effect between any pair of the three SNPs was detected, while only one main effect for SNP19_1 was found for the trait. Also, under another non-parametric model using a multifactor dimensionality reduction (MDR) method, only one interaction effect of the two SNPs (19_1 and 28_2) explained the trait significantly better than the parametric model with the main effect of SNP19_1. Our results suggest that RPM is a good alternative to model choices that can find associations of the interaction effects of multiple SNPs for quantitative traits in livestock species.