• Korean Architects
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• s.564
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• pp.98-103
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• 2016

지난 회에서는 고층 주거 빌딩의 외피를 높이라는 주요 변수 및 이 변수의 함수를 통해 발생하는 파생적인 변수들을 통해 파라메트릭 모델로 구성해 나가는 과정을 살펴보았습니다. 이번 회에도 지난회와 같은 연장선상에서 디자인에 영향을 미치는 하나의 변수를 설정하고 이 변수를 통해 전체적인 디자인을 구성해 나가는 과정에 대하여 살펴볼까 합니다. 지난 회의 예와는 조금 다르게 이번 회의 예는 "변수화 된 모듈러"라는 비교적 친근한 컨셉에 더 가깝다고 할 수 있습니다. 저번 회의 고층 주거의 스킨은 다수의 레이어로 구성이 되었었고 각 레이어들이 해당 레이어 전역에 걸쳐 변수와 상관관계를 가지게 되며 이러한 상관관계가 각 레이어들별로 서로 다르게 정의 되므로 conceptual level에서의 변수와 물리적 형태의 상관관계가 눈에 쉽게 보이는 물리적인 모듈러로 구현된다기 보다는 그러한 conceptual level에서의 관계가 물리적 모듈러의 생성단계를 뛰어넘으며 결과적으로 눈에 보이는 모듈러의 생성을 하지 않았습니다. 이에 더해 개별의 레이어의 적층으로 인해 변수가 어떻게 디자인에 영향을 주는지 직관적으로 이해하기 힘들었을 수도 있을 것 같습니다. 그에 반해 이번 회에서 살펴볼 예는 파라메트릭 디자인이라고 사람들이 흔히 이야기 할 때의 전형에 조금 더 가깝다고 볼 수 있을 것 같습니다.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.12
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• pp.184-190
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• 2013

Parametric stereo(PS) audio coding is a specific version of spatial audio coding. In this paper, the problem due to the conventional synthesis of phase differences. In the conventional upmix matrix, phase differences are synthesized not only on downmix signal but also ambient signal, which violates the assumption that the ambient signals are anti-phased. Deterioration due to the phase synthesis is analyzed, especially, for low interchannel correlation. To solve this problem, new upmix matrix is proposed, which synthesizes phase differences only on downmix signal. The performance of the proposed upmix matrix is verified by the subjective listening tests.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.348-351
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• 2009

본 논문에서는 구조해석을 위한 PSC 박스 거더교의 객체 정보 모델에 관한 연구를 수행하였다. 대상 교량의 객체 정보 모델을 생성하기 위해서는 수많은 형상 및 치수에 관한 파라미터를 필요로 하게 된다. 따라서 본 연구에서는 이 교량의 설계 목적에 맞는 파라미터를 분류하였고, 파라미터들 사이의 계층구조(Structure)와 상관관계를 정의하였다. 또한 본 연구에서 적용된 인터페이스 프로그램은 3차원 객체 모델에서 출력된 파라미터를 변환하여 구조해석을 위한 입력값으로 변환시켜, 해석 결과값을 구조계산서에 출력시킴으로써 엔지니어가 설계 타당성과 모델변경 요구를 용이하게 할 수 있게 하였다. 그리고 대상 모델에 대한 설계변경은 구조물의 특징에 맞는 상관파라메트릭 방법을 적용하여 신속하게 할 수 있도록 유도하였다. 이 연구를 통해 건설구조물의 설계를 3D 모델로 하기위한 가능성을 확인하였다.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.452-459
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• 2021

Estimating the mutual time delay between two acoustic sensors is used in various fields such as tracking and estimating the location of a target in room acoustics and sonar. In the time delay estimation methods, there are a non-parametric method, such as Generalized Cross Correlation (GCC), and a parametric method based on system identification. In this paper, we propose a time delay estimation method based on the parametric method. In particular, we propose a method that considers the noise in each receiving acoustic sensor. Simulation confirms that the proposed algorithm is superior to the existing generalized cross-correlation and adaptive eigenvalue analysis methods in white noise and reverberation environments.

• The Journal of the Acoustical Society of Korea
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• v.31 no.6
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• pp.410-418
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• 2012

Parametric stereo(PS) and MPEG surround(MPS) are major spatial audio coding(SAC) tools. In this paper, the problem of the inter-channel correlation(ICC) synthesis in the conventional SAC is analyzed. Conventional methods assume that ambient components mixed to two output channels are anti-phased, while the primary components are assumed to be in-phased. This assumption can cause excessive ambient mixing for a negative-valued ICC. As a remedy to this problem, we propose a new ICC synthesis method based on an assumption that the primary components are anti-phased each other for a negative ICC. The proposed method is also applied to the approximation which works in practice. The performance of the proposed method was evaluated by computer simulations and the subjective listening tests verified that the proposed method is effective in not only headphones but also loudspeakers playback.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.33 no.5
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• pp.331-338
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• 2020

In this study, the characteristic of a 3-D micro-woven material, which is one of the newly developed periodic open-cell structure, is analyzed through various computational simulations. To increase the accuracy of the numerical simulations, the distance between each directional wire is parameterized using six design variables, and its model geometry is precisely discretized using tetrahedron elements. Using the improved computational model, the material properties of the mechanical, thermal, and fluidic behavior are investigated using commercial software and compared with the previous experimental results. By changing the space between the x- and y-directional wires, a parametric test is performed to determine the tendency of the change in the material properties. In addition, the correlation between two different material properties is investigated using the Ashby chart. The result can further be used in determining the optimal pattern and wire spacing in 3-D micro-woven materials.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.207-211
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• 2008

The importance of cost management in early stage has been increasing due to market change and competition severence in construction industry. Because the adjustable budget is only 20% after finishing design stage, the critical decision is made in the early stage. However, in the early stage, the design information is not enough to make crucial decision. Therefore, this research suggests the predicting method on the purpose of accurate cost estimation. The parametric estimation is appropriate for the early stage, especially it has the strength of rapidity in cost estimation. This research analyzes 84 actual data of public apartment on the scale of $11{\sim}15$ stories, and then performs the correlation analysis between cost and influence factors. After eliminating the parameters which causes the problem of multicollinearity, this research derived the formula through the multi-regression analysis.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.10
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• pp.1139-1145
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• 2014

Creation of a human skeleton model and characterization of the variation in the bone shape are fundamentally important in many applications of biomechanics. In this paper, we present a parametric shape modeling method for femurs that is based on extracting the main parameter of variations of the femur shape from a 3D model database by using statistical shape analysis. For this shape analysis, principal component analysis (PCA) is used. Application of the PCA to 3D data requires bringing all the models in correspondence to each other. For this reason, anatomical landmarks are used for guiding the deformation of the template model to fit the 3D model data. After subsequent application of PCA to a set of femur models, we calculate the correlation between the dominant components of shape variability for a target population and the anatomical parameters of the femur shape. Finally, we provide tools for visualizing and creating the femur shape using the main parameter of femur shape variation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.475-481
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• 2019

The importance of performance-based design feedback is being emphasized when it comes to the potential impact that affects all the lifecycle of the building. However, the latency and disconnection of domain expert in the sector of AEC/FM remain current obstacles between design and performance feedback. It is hard to utilize performance feedback information for design exploration and support design decision making during the conceptual phase of design. Using parametric design, this paper proposes various design alternatives from a set of rules and constraints defined by algorithms for the geometric configurations of an Office Building. A Building Performance Analysis (BPA) was to developed using Autodesk® Revit® 2019 which integrates Autodesk® Green Building Studio® to predict its sufficient daylighting conditions of the LEED v4's Daylighting Autonomy (DA). The parametric-based performance feedback of this study outlines potential design improvements for further exploration in application to the early design process.

• Journal of the Korean Society for Railway
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• v.12 no.6
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• pp.989-995
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• 2009

Short-time Fourier transforms (STFT) are useful for analyzing signals with harmonics that vary with time. If the variation of the harmonics with time is smooth, such as in kinematic vibrations in vehicles, then it is possible to improve the STFT using order spectra and correlation analysis. In this paper, it is shown how correlation analysis can be performed when the speed signal is noisy or unknown and then it is shown how order spectra become simple to compute after this analysis. The results are illustrated by an analysis of axle and car body vibrations in the prototype high-speed train, HSR-350x.