• Title/Summary/Keyword: 회귀법

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Optimum Design of Reinforced Concrete Plane Frames Based on Section Database (데이터베이스에 기반한 RC 평면 프레임 구조물의 최적설계)

  • Kwak, Hyo-Gyoung;Kim, Ji-Eun
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.20 no.2
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    • pp.165-179
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    • 2007
  • For the purpose of optimum design of reinforced concrete structures, pre-determined section database of column and beam are constructed and arranged in order of the resisting capacity. Then, regression equations representing the relation between section number and section resisting capacity are derived. In advance, effective optimization algorithms which search optimized solution quickly using direct search method from these database are proposed. In practice, from the fact that engineers conduct member design close to capacity optimization rather than cost optimization, both capacity and cost optimization using proposed algorithms are performed, and the review for the obtained results are followed. Moreover, the investigation for the applicability and effectiveness of the Introduced design procedure is conducted through correlation study for example structures. Because of no restriction in constructing objective functions with very simple optimization processes and fast convergence, the introduced method can effectively be used in the preliminary design stage. Especially, selected solutions from database are directly applicable in practice because these sections already satisfy all the requirements in design codes and practical restrictions.

Detection and Forecast of Climate Change Signal over the Korean Peninsula (한반도 기후변화시그널 탐지 및 예측)

  • Sohn, Keon-Tae;Lee, Eun-Hye;Lee, Jeong-Hyeong
    • The Korean Journal of Applied Statistics
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    • v.21 no.4
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    • pp.705-716
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    • 2008
  • The objectives of this study are the detection and forecast of climate change signal in the annual mean of surface temperature data, which are generated by MRI/JMA CGCM over the Korean Peninsula. MRI/JMA CGCM outputs consist of control run data(experiment with no change of $CO_2$ concentration) and scenario run data($CO_2$ 1%/year increase experiment to quadrupling) during 142 years for surface temperature and precipitation. And ECMWF reanalysis data during 43 years are used as observations. All data have the same spatial structure which consists of 42 grid points. Two statistical models, the Bayesian fingerprint method and the regression model with autoregressive error(AUTOREG model), are separately applied to detect the climate change signal. The forecasts up to 2100 are generated by the estimated AUTOREG model only for detected grid points.

Comparing Accuracy of Imputation Methods for Categorical Incomplete Data (범주형 자료의 결측치 추정방법 성능 비교)

  • 신형원;손소영
    • The Korean Journal of Applied Statistics
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    • v.15 no.1
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    • pp.33-43
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    • 2002
  • Various kinds of estimation methods have been developed for imputation of categorical missing data. They include category method, logistic regression, and association rule. In this study, we propose two fusions algorithms based on both neural network and voting scheme that combine the results of individual imputation methods. A Mont-Carlo simulation is used to compare the performance of these methods. Five factors used to simulate the missing data pattern are (1) input-output function, (2) data size, (3) noise of input-output function (4) proportion of missing data, and (5) pattern of missing data. Experimental study results indicate the following: when the data size is small and missing data proportion is large, modal category method, association rule, and neural network based fusion have better performances than the other methods. However, when the data size is small and correlation between input and missing output is strong, logistic regression and neural network barred fusion algorithm appear better than the others. When data size is large with low missing data proportion, a large noise, and strong correlation between input and missing output, neural networks based fusion algorithm turns out to be the best choice.

Contribution of Hydrogeological Factors to Groundwater Recharge Ratio (수리지질학적 변수들의 지하수 함양률에 대한 기여도 평가)

  • 문상기;우남칠
    • Economic and Environmental Geology
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    • v.35 no.5
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    • pp.479-490
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    • 2002
  • The aim of this study is to evaluate the contributions of each hydrogeological factors to groundwater recharge ratios in order to determine areal estimates of recharges in entire inland area of South Korea. For this purpose, various statistical analyses and overlay techniques of GIS were conducted fur entire area and 4 river basins of South Korea. As a result, the spatial distribution of recharge, South Korea were visualized.

Departmental Trust on Departmental Development and Academic Performance and Demographic Differences in the Department affiliated with Physical Education (체육계열 학과 학생들의 학과발전과 학업성과에 대한 학과신뢰의 영향과 인구통계학적 차이)

  • Choi, Jin-Ho
    • Journal of Digital Convergence
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    • v.14 no.6
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    • pp.467-475
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    • 2016
  • This study examined the impact of departmental trust on departmental development and academic performance in the department affiliated with physical eduction. Furthermore, it investigated the differences of departmental development and departmental trust by gender and school year of the students. Data were analyzed from 313 students in the department affiliated with Physical Education from 6 institutions of a 4-year university located in Seoul, Gyeonggi-do, Incheon, and ChungChong-do. For the research questions, simple linear regression model and two-way multivariate analysis of variance were analyzed. Results indicated that departmental trust had a positive effect on departmental development. But, departmental trust statistically had no effect on academic performance. Sophomore and junior in departmental development were higher than senior. Junior in departmental trust was higher than senior. There was no statistically difference in departmental development and departmental trust by gender.

Diagnostic Performance for Detection of Hezicobacter Pyzori Infection in Gastric Biopsy Specimens with No Gold Test: Non-linear Regression Approach (위 조직 생검 시료의 Helicobacter pylori 균 검출에 사용되는 진단검사의 특성을 추정하기 위한 비선형 모형의 응용)

  • Pak, Son-Il;Kim, Doo
    • Journal of Veterinary Clinics
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    • v.20 no.1
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    • pp.7-11
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    • 2003
  • The selection of a test as a reference with no perfect sensitivity and specificity may lead to bias, yielding distortion of the diagnostic performance. This means it is inappropriate to use imperfect diagnostic tests as a reference method to identify infected patients in clinical environments. In this study, diagnostic performance of rapid urease test, polymerase chain reaction (PCR), and histology of gastric biopsy specimens for diagnosing Helicobacter pylori infection separately and in combination was estimated by using non-linear regression. Based on this approach, the sensitivity, specificity and likelihood ration positive and negative values for each test were as follows: urease test 99.9%, 99.9%, 99.9%, 99.6%, respectively; PCR 88.6%, 99.9%, 99.9%, 70.5%, respectively; histology 78.3%, 97%, 78.3%, 97%, respectively. Predictive values for positive and negative changes with varying Combination of three diagnostic tests employed in the study gives no substantial benefit for practitioners to screen infected patients, and urease test or PCR represents an appropriate single test in clinical environments.

Pulmonary Vessels Segmentation and Refinement On the Chest CT Images (흉부 CT 영상에서 폐 혈관 분할 및 정제)

  • Kim, Jung-Chul;Cho, Joon-Ho;Hwang, Hyung-Soo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.11
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    • pp.188-194
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    • 2013
  • In this paper, we proposed a new method for pulmonary vessels image segmentation and refinement from pulmonary image. Proposed method consist of following five steps. First, threshold estimation is performed by polynomial regression analysis of histogram variation rate of the pulmonary image. Second, segmentation of pulmonary vessels object is performed by density-based segmentation method based on estimated threshold in first step. Third, 2D connected component labeling method is applied to segmented pulmonary vessels. The seed point of both side diaphragms is determined by eccentricity and size of component. Fourth step is diaphragm extraction by 3D region growing method at the determined seed point. Finally, noise cancelation of pulmonary vessels image is performed by 3D connected component labeling method. The experimental result is showed accurately pulmonary vessels image segmentation, the diaphragm extraction and the noise cancelation of the pulmonary vessels image.

A Method Study on Discharge Computation of Backwater effect station by Handle of Gate of a Geumgang estuary dyke (금강하구둑 갑문조작에 의한 배수영향 지점에서의 유량산정 방법 연구)

  • Lee, Chung-Dae;Han, Hak-Young;Lim, Tae-Eun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1307-1311
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    • 2010
  • 수자원의 효율적인 관리를 위해서는 홍수량 자료뿐만 아니라 저 평수량의 자료도 매우 중요하며, 이는 최근의 가뭄 발생으로 인하여 용수공급 및 하천수질관리 문제에서 저수위 유량자료의 파악이 중요한 관심 대상이기 때문이다. 이를 위해서는 저수위에 대해 유량측정을 실시하여 유량자료를 확보해야 하며, 이와 더불어 연속적인 유량자료를 얻기 위해서는 신뢰성 있는 수위-유량관계곡선식이 필수적이다. 일반적으로 자연하천에서 수위-유량관계는 수위의 상승 및 하강에 따라 유량변화가 일정한 경향성을 가지고 변동을 하기 때문에 단일함수 관계로 설명이 가능하다. 하지만 갑문 조작에 영향을 받는 구간에서는 수위와 유량만의 단일함수 관계가 아닌 갑문의 개 폐에 따라 수위와 유량이 변동하는 특성을 가지고 있어 일반하천에 비해 수위-유량관계를 규명하는 것이 매우 어려운 문제이다. 본 연구는 금강 하구둑의 갑문조작에 의하여 배수영향을 받는 규암 수위관측소에 대하여 수위-하강고-유량관계를 이용한 유량환산방법, 수면경사를 매개변수로 추가한 다중 회귀식 개발, 자동유량측정 장치를 이용한 유속지수법, 기존 수위-유량관계곡선식을 이용한 유량환산, ADCP(Acoustic Doppler Current Profiler)를 이용한 유량측정성과에 대하여 비교 분석을 통하여 갑문조작에 의한 배수영향을 받는 지점의 안정적인 유량자료를 제공하는데 목적이 있다. 이와 같이 각 유량환산 방법에 따라 실측 유량과 환산유량 비교의 결과 수위-하강고 유량관계의 경우 평균 26.60%, 기존 수위-유량관계곡선의 경우 130.29%, 유속지수법의 경우 36.48%, 다중회귀식의 경우 24.65%의 상대오차가 발생하였다.

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Development of Prediction Model for Total Dietary Fiber Content in Brown Rice by Fourier Transform-Near Infrared Spectroscopy (FT-NIR spectroscopy를 이용한 현미의 총 식이섬유함량분석 예측모델 개발)

  • Lee, Jin-Cheol;Yoon, Yeon-Hee;Kim, Sun-Min;Pyo, Byeong-Sik;Eun, Jong-Bang
    • Korean Journal of Food Science and Technology
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    • v.38 no.2
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    • pp.165-168
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    • 2006
  • Fourier transform-near infrared spectroscopy (FT-NIRS) was evaluated for determination of total dietary fiber (TDF) content of brown rice. Enzymatic-gravimetric method was suitable to obtain reference values for calibration of NIR at 1,000-2,500 nm range. Standard error of laboratory procedure ranged 0.17 to 0.72%. Partial least square (PLS) regression was used to develop the calibration equations. Regression was performed automatically using NIRCal chemometric software. Accuracy of prediction model for TDF content was certified for regression coefficient (r), standard error of estimation (SEE) and standard error of prediction (SEP), showing 0.9780, 0.0636, and 0.0642, respectively. This prediction model can be used for determination of TDF in brown rice and would be useful for real-time analysis in food industry.

A Study on the Estimation Method of EHP of Fishing Boats Use Statistical Regression Analysis (통계적 회귀계수를 이용한 어선의 유효 마력 추정법에 관한 연구)

  • Lee, Guen-Moo;Park, Jai-Woung
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.31 no.2
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    • pp.199-209
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    • 1995
  • From the results of model tests, statistical regression analysis of EHP estimation based on hull form parameters is adopted in this study. From this result, the method for estimation of EHP at the initial design stage of fishing boats is developed. This method is applied to four standard fishing boats with chine lines and two standard fishing boats with round bottom. The EHP's are estimated and compared to experimental results. In the case of six fishing boats, the estimated EHP corresponds well and approximates well with experimental results through out all the range tested. From these results it can be concluded that this numerical method is very efficient in estimating EHP of fishing boats having chine line and round bottom. Therefore, by applying the proposed method to design of fishing boats, we can improve the resistance characteristics. Further, this method can contribute to reduction of design time and thus down the total expenses.

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