• 농업과학연구
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• 제25권2호
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• pp.247-259
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• 1998

선행하중공법과 병행하여 연직배수재를 설치한 연약지반에서 초기에 신뢰성 있는 최종 침하량을 예측할 수 있는 방법을 확립하기 위하여, 실측자료를 이용한 역해석에 의해서 점증재하와 일시재하로 고려하여 Curve fitting 방법으로 역해석한 결과를 비교분석하고, 쌍곡선방법, Tan의 방법, Asaoka방법, Monden방법등으로 예측한 최종침하량과 비교하여 다음과 같은 결론을 얻었다. 1. 점증재하로 성토된 연약지반에 대해서 일시재하와 점증재하에 의한 예측 침하곡선이 일치하는 시간은 성토개시일로부터 성토기간의 약 2배 정도의 시간이 경과한 이후로 나타났다. 2 연직 드레인이 타입된 지반에 대해서 쌍곡선 방법, Tan의 방법, Asaoka방법, Monden방법, Curve fitting I, Curve fitting II(simple), 그리고 Curve fitting II(Carrillo)방법에 의하여 해석한 결과, Curve fitting II(simple) 방법을 기준으로할 때, 쌍곡선방법은 26~55%정도 과다추정되었고, Tan의 방법은 6~20%정도 과대 추정되었고, Monden방법은 Tan의 방법과 유사하게 나타났으며, Curve fitting I방법과 Asaoka방법은 최대 10%의 차이를 나타내었다. 3. 역해석에 의해서 최종침하량을 예측할 경우에 Asaoka 방법, 일시재하에 의한 Curve fitting I방법, 점증재하에 의한 Curve fitting II방법 등을 사용하는 것이 적합하다고 판단된다.

• 응용통계연구
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• 제21권2호
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• pp.275-290
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• 2008

마이크로어레이 유전자 발현 자료는 대용량이며 또한 관측 과정이 복잡하여 결측치가 빈번하게 발생된다. 본 논문에서는 관측 시점 간에 상관성을 갖는 시간경로 유전자 발현 자료에 대한 결측치 추정을 위하여 순차적 부분최소제곱(sequential partial least squares: SPLS) 회귀적합 방법을 제안한다. 이는 순차적 기법과 부분최소제곱(partial least squares: PLS) 회귀적합 방법을 결합시킨 것이다. 세 가지의 이스트(yeast) 시간경로 자료들에 대한 몇 가지 모의실험을 통하여 제안된 결측치 추정방법의 유용성을 평가한다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 춘계 학술발표회
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• pp.457-467
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• 2010

The settlement prediction is very important to preloading method for a construction site on a soft ground. At the design stage, however, it is hard to predict the settlement exactly due to limitations of the site survey. Most of the settlement prediction is performed by a regression settlement curve based on the field data during a construction. In Korea, hyperbolic method has been most commonly used to align the settlement curve with the field data, because of its simplicity and many application cases. The results from hyperbolic method, however, may be differed by data selections or data fitting methods. In this study, the analyses using hyperbolic method were performed about the field data of $\bigcirc\bigcirc$ site in Pusan. Two data fitting methods, using an axis transformation or an alternative method, were applied with the various data group. If data was used only after the ground water level being stabilized, fitting results using both methods were in good agreement with the measured data. Without the information about the ground water level, the alternative method gives better results with the field data than the method using an axis transformation.

• 센서학회지
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• 제26권4호
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• pp.259-265
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• 2017

Magnetometer calibration must be performed before the use of three-axis magnetometers to ensure the accuracy of orientation estimation. Recently, one of the most popular calibration approaches is the ellipsoid fitting technique due to its high performance in calibration. To date, in fact, performances of the existing ellipsoid fitting methods have been evaluated with full range rotation data. However, in case of the calibration of magnetometers attached to vehicles, ships, and planes, it is very difficult to collect the full range rotation data since their allowable ranges in terms of roll and pitch are limited to small. This constraint may result in serious performance degradation of some ellipsoid fitting algorithms. Therefore, to be practical, this paper proposes a weighted least square-based magnetometer calibration method that is robust in roll-pitch limited conditions. Furthermore, the proposed method is a linear approach and thus is free from the well-known initial value issue in nonlinear approaches. Experimental results show the superiority of the proposed method to other ellipsoid-fitting calibration methods.

• 한국지반공학회논문집
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• 제23권11호
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• pp.99-107
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• 2007

Hvorslev법이나 Bouwer and Rice법과 같은 선형 커브피팅법은 대수층의 현장 투수계수를 구하기 위해 실시하는 순간변위시험 혹은 순간충격시험(slug test) 결과를 효과적이고 간편하게 해석하도록 한다. 그러나, 대수층의 압축성이 클 경우, 순간변위시험의 결과가 반대수 그래프에서 선형적이지 않고 상향으로 오목한 곡선 형태를 갖게 되므로, 대수층의 압축성을 무시하는 기존의 선형 커브피팅법은 이런 경우에 그대로 적용하기 어렵다. 본 논문에서는 두 선형 커브피팅법을 부분 관통된 우물의 경우에 대하여 비교 분석하여 대부분의 경우에 Hvorslev법이 Bouwer and Rice법에 비하여 과다하게 현장 투수계수를 산정함을 보였다. 또한, 각기 다른 커브피팅 방법에 따른 순간변위시험 해석결과를 무차원 압축 매게변수(${\alpha}$)의 범위 0.001에서 1까지에 대하여 비교 분석하였다. 마지막으로, 압축성이 큰 대수층의 순간 변위시험 해석을 위하여 Chirlin의 방법을 부분 관통된 우물의 형상을 고려할 수 있도록 확장하여 수정된 선형 커브피팅법을 제시하였다. 제안된 방법의 현장 적용성을 검토하기 위해 빙적토 대수층에서 실시된 순간 변위시험 결과를 이용하여 사례분석을 하였다.

• Journal of applied mathematics & informatics
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• 제6권2호
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• pp.669-684
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• 1999

We are interested in the problem of fitting a curve to a set of points in the plane in such a way that the sum of the squares of the orthogonal distances to given data points ins minimized. In[1] the prob-lem of fitting circles and ellipses was considered and numerically solved with general purpose methods. Especially in [2] H. Spath proposed a special purpose algorithm (Spath's ODF) for parabolas y-b=$c($\chi$-a)^2$ and for rotated ones. In this paper we present another parabola fitting algorithm which is slightly different from Spath's ODF. Our algorithm is mainly based on the steepest descent provedure with the view of en-suring the convergence of the corresponding quadratic function Q(u) to a local minimum. Numerical examples are given.

• 대한조선학회논문집
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• 제46권1호
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• pp.87-95
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• 2009

The applicability of optimization techniques for hull surface fitting has been important in the ship design process. In this research, the Genetic Algorithm has been used as a searching technique for solving surface fitting problem and minimizing errors between B-spline surface and the ship's offset data. The encoded design variables are the location of the vertex points and parametric values. The sufficient accuracy in surface fitting implies not only various techniques for computer-aided design, but also the future production design.

• 한국경영과학회지
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• 제20권3호
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• pp.17-29
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• 1995

Recently, neural network models have been employed as an alternative to regression analysis for point estimation or function fitting in various field. Thus far, however, no theoretical or empirical guides seem to exist for selecting the tool which the most suitable one for a specific function-fitting problem. In this paper, we evaluate performance of three major function-fitting techniques, regression analysis and two neural network models, back-propagation and linear-Hebbian-learning neural networks. The functions to be fitted are simple linear ones of a single independent variable. The factors considered are size of noise both in dependent and independent variables, portion of outliers, and size of the data. Based on comutational results performed in this study, some guidelines are suggested to choose the best technique that can be used for a specific problem concerned.

• 한국농공학회지
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• 제42권
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• pp.68-77
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• 2000

Analyses, in which load was regarded as instant load and gradual step load, respectively, were performed with data measured on a gradually loaded field, and the results were inspected to find the effect of load conditions, and the final settlements which were predicted by Hyperbolic, Tan's, Asaoka's, and Monden's methods were compared with each other. Settlement curves in which load was regarded as instant load and gradual step load being to coincide at twice the time of duration of embankment. On the ground installed vertical drain, from the results of Hyperbolic, Tan's, Asaoka's, Monden's, Curve fitting I, and Curve fitting II (simple, carrillo) methods it was concluded that Asaoka, Curve fitting I, and Curve fitting II methods are reliable for prediction final settlement with back analysis.

• 패션비즈니스
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• 제22권3호
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• pp.122-142
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• 2018

In the virtual fitting system, the use of a 3D avatar is not a simple garment model, but it should be able to reproduce the size and shape of the customer using a fitting system. Although various virtual fitting systems have their own 3D avatar sizing systems and provide 3D avatars that match the size of the customer, there are limitations in realizing the actual body shape in actual use by the consumer. The purpose of this study is to realize a 3D avatar with excellent size and conformity for customer use. Therefore, this study aims to provide basic data for the formation of a 3D standard avatar of Korean women aged in their 20's, by comparing and analyzing the degree of the consumer user friendly system change of a body type, and the consumer's ability in selecting a consumer representative body type. Based on the survey data of 'Size Korea' conducted from 2004 to 2015 at three times, we examined the change of body shape over 10 years. Then, based on the results of 6th and 7th data, 4 factors of the concurrent body shape change of women of the consumer demographic studied were selected through the use of a factor analysis. Following this analysis, the 4 extracted factors were clustered again and finally released 7 representative body types, which were obtained based on height and weight. The size of each representative figure is derived by the use of a regression analysis, and it is used as a basic data for 3D avatar formation of the virtual fitting system.