• Title/Summary/Keyword: Shape Regression

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Adjustment of Spectral Information of Different Facets in a Surface Material using Image Segmentation

  • Lee Jong Yeol
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.609-612
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    • 2004
  • Geometric shape in a surface material sometimes produces different slopes that have different illuminations. It causes some difficulties to get same classification results or to identify as an object for the different facets in a surface material. A regression method is suggested to adjust the spectral information of different facets in a surface material using image segments. The method to adjust spectral information in a building facets was very successful. The most important advantage of this method is to keep the intensity of spectral information as well as spectral response. This method can also be implemented in an adaptive way.

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Generalization and its Verification of Concrete Compressive Strength Prediction Equation (콘크리트 압축강도 예측식의 일반화 및 이들 식의 검증)

  • Choi, Joong-Cheol;Yi, Seong-Tae;Yang, Eun-Ik;Kim, Dong-Yong;Son, Suk-Ho;Mun, Byung-Suk
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.05b
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    • pp.537-540
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    • 2006
  • In previous study, the effect of specimen sizes and shapes on the compressive strength of concrete specimens was experimentally investigated based on fracture mechanics. In this study, the relationship between the cube compressive strength and the cylinder strength for representative specimen sizes was investigated by linear regression analyses. And, by reanalyzing the compressive strength prediction equations with specimen size and shape obtained in previous studies, the compressive strength prediction equations were generalized. In addition, its verification was investigated by comparing with the results obtained from other researchers.

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3D Shape Recovery using Line Fitting (Line Fitting 을 이용한 삼차원 형상복원)

  • Shim, Seong-O;Malik, Aamir Saeed;Choi, Tae-Sun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.905-906
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    • 2008
  • This paper presents a method where the best focues points are calculated using line fitting. Two datasets are selected for each pixel based on the maximum value which is calculated using Laplacian operator. Then linear regression model is used to find lines that approximate these datasets. The best fit lines are found using least squares method. After approximating the two lines, their intersection point is calculated and weights are assigned to calculate the new value for the depth map.

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Air Temperature Variation by Effect of Green Space Distribution (녹지분포에 따른 기온변화)

  • Yoon, Yong-Han
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.5 no.2
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    • pp.47-52
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    • 2002
  • In this study, in order to find out relationship of green space distribution and lower air temperature effect, observed air temperature distribution in and out green space in the cloudy. On basis of the result, we are analyzed relationship of air temperature distribution in and out green space, of green space distribution and air temperature of, lower air temperature effect and the urban in between the green space by using regression analysis. According to the result, the higher temperature zone formed around urban, and the lower temperature zone was similar to shape of green space. In case of the green space, higher temperature zone is formed around paved surface and barren ground, lower temperature zone is done forest and water area. To compare air temperature of windward and leeward around green space, the windward formed the lower temperature zone and although the wind direction is not the leeward to the green space, air temperature formed lower temperature zone to the urban in between the green space.

Development of Set-up Model for Elongation Control in Steel Skin Pass Mill (조질압연에서의 연신율제어를 위한 set-up 모델 개발)

  • 이원호
    • Transactions of Materials Processing
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    • v.10 no.2
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    • pp.130-136
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    • 2001
  • The mathematical set-up model was developed to reduce the mechanical property deviation in annealed and slightly rolled steel strip. The mechanical peculiarities of skin pass rolling process, such as high friction value and non-circular contact arc, low reduction and non-negligible entry and exit elastic zones as well as central restricted deformation zone are all taken into account. The deformation of work rolls is calculated with the influence function method and arbitrary contact arc shape is permitted. The strip deformation is modeled by slab method and the entry and exit elastic deformation zones are included. The strip restricted deformation zone near the neutral point is also considered. It was revealed that the new model has better accuracy than present regression model by statistical analysis with actual mill rolling data.

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Development of set-up model for elongation control in steel skin pass mill (강판의 연신율제어를 위한 Set-Up 모델 개발)

  • 이원호;이규택;류율리
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.317-317
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    • 2000
  • The mathematical set-up model was developed to reduce the mechanical property deviation in annealed and slightly rolled steel strip. The mechanical peculiarities of temper rolling process, such as high friction value and non-circular contact arc, Low reduction and non-negligible entry and exit elastic zones as well as central restricted deformation zone are all taken into account. The deformation of work rolls is calculated with the influence function method and arbitrary contact arc shape is permitted. The strip deformation is modeled by slab method and the entry and exit elastic deformation zones are included. The restricted deformation Bone near the neutral point is also considered. It was revealed that the new model has better accuracy than present regression model by statistical analysis with actual mill rolling data.

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Negative Binomial Varying Coefficient Partially Linear Models

  • Kim, Young-Ju
    • Communications for Statistical Applications and Methods
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    • v.19 no.6
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    • pp.809-817
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    • 2012
  • We propose a semiparametric inference for a generalized varying coefficient partially linear model(VCPLM) for negative binomial data. The VCPLM is useful to model real data in that varying coefficients are a special type of interaction between explanatory variables and partially linear models fit both parametric and nonparametric terms. The negative binomial distribution often arise in modelling count data which usually are overdispersed. The varying coefficient function estimators and regression parameters in generalized VCPLM are obtained by formulating a penalized likelihood through smoothing splines for negative binomial data when the shape parameter is known. The performance of the proposed method is then evaluated by simulations.

A FE-based Model for Predicting Roll Force in a Vertical Rolling Process (수직압연에 대한 압하력 예측 모델)

  • Yun, D.J.;Kim, Y.K.;Hwang, S.M.
    • Transactions of Materials Processing
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    • v.20 no.8
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    • pp.548-554
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    • 2011
  • A Finite Element (FE)-based model is proposed for predicting the roll force in an edger. The model is developed on the basis of the hypothetical mode of rolling and the least-squares regression analysis from the result of the FE approach. This model reflects the effect of process variables affected by the roll force, and has three dimensionless parameters, I.e., shape factor, reduction ratio and width-to-thickness ratio. The model prediction compared satisfactorily with experiment observations.

Hull form design for the fore-body of medium-sized passenger ship with gooseneck bulb

  • Yu, Jin-Won;Lee, Young-Gill
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.9 no.5
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    • pp.577-587
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    • 2017
  • The recent IMO MEPC regulation on EEDI, EEOI and increased fuel cost has worsened the financial condition of the small and medium sized passenger ferry companies, and it is situated to acquire the economic ships with a pretty high resistance performance. The purpose of this research is to develop a design method on the efficient gooseneck bulb for the middle-sized passenger ferry operated in the Far East Asian seas. The hull forms are designed by varying the gooseneck bulb parameters to find the changes on the resistance performance according to the shape of bulb. The numerical series tests are made to derive the regression equation for estimating the resistance through analyzing the data statistically. This equation is set as an objective function, and then using the optimization algorithm searches for the optimal combination of the design variables. After a hull form is designed corresponding to optimized parameters.

Static Behavior of Hollow Cantilever Beam using Multiplexed FBG Sensors (다중화된 FBG 센서를 이용한 중공 내민보의 정적 거동 분석)

  • Lee, Tae-Hee;Kang, Dong-Hoon;Chung, Won-Seok;Mok, Young-Jin
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.593-598
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    • 2009
  • This paper presents a preliminary study to monitor the lateral behavior of pile foundation using multiplexed fiber Bragg grating (FBG) sensors. In the preliminary study, an 1.7 meter long cantilever beam with the shape of square hollow box was fabricated and tested under the static loading. Four FBG sensors were multiplexed in a single optical fiber and installed into the top and bottom of the cantilever beam. The strains are directly measured from FBG sensors followed by curvature calculations based on the plane section assumption. Vertical deflections are then estimated using the regression analyses based on the geometric relationships. It has been found that excellent correlation with conventional sensing system was observed. The success of the test encourages the use of the FBG sensing system as a monitoring system for pile foundations. However, further consideration should be given in the case of the sensor malfunction for the practical purpose.

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