• Title/Summary/Keyword: regression line

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Guidance Line Extraction Algorithm using Central Region Data of Crop for Vision Camera based Autonomous Robot in Paddy Field (비전 카메라 기반의 무논환경 자율주행 로봇을 위한 중심영역 추출 정보를 이용한 주행기준선 추출 알고리즘)

  • Choi, Keun Ha;Han, Sang Kwon;Park, Kwang-Ho;Kim, Kyung-Soo;Kim, Soohyun
    • The Journal of Korea Robotics Society
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    • v.11 no.1
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    • pp.1-8
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    • 2016
  • In this paper, we propose a new algorithm of the guidance line extraction for autonomous agricultural robot based on vision camera in paddy field. It is the important process for guidance line extraction which finds the central point or area of rice row. We are trying to use the central region data of crop that the direction of rice leaves have convergence to central area of rice row in order to improve accuracy of the guidance line. The guidance line is extracted from the intersection points of extended virtual lines using the modified robust regression. The extended virtual lines are represented as the extended line from each segmented straight line created on the edges of the rice plants in the image using the Hough transform. We also have verified an accuracy of the proposed algorithm by experiments in the real wet paddy.

The Study of Muscle Fatigue Index Searching in terms of Median Frequency Analysis of EMG Signals during Isotonic Exercise (등장성운동 시 근전도 신호의 중앙주파수 분석을 통한 근피로지수 검출에 관한 연구)

  • 홍수용;이성호;윤형로;조상현
    • Journal of Biomedical Engineering Research
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    • v.24 no.3
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    • pp.175-181
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    • 2003
  • Studies of muscle fatigue have mostly been checked under isometric exercise. However EMG signals from isotonic exercise generate uncontrollable noise, so there were difficulties in gathering reliable median frequency and muscle fatigue index if frequency analysis was equally applied in isometric exercise. This study tried to compare the differences of muscle fatigue determinant variables in terms of median frequency searching methods of EMG signal, which was estimated in isotonic exercise. To accomplish this, we determined median frequency by using different FFT intervals and overlapping ration of consecutive FFT sections under the same EMG signal, and then searched for a linear regression line, and compared initial median frequency, slope, and muscle fatigue index which were variables under the linear regression line. In result of comparison, initial median frequency was more elevated as FFT exercise interval became larger. The slope of the linear regression line showed distinguishable decreasing tendency as FFT intervals were larger and overlapping sections were smaller. Significant tendency of muscle fatigue index in FFT interval was shown by high muscle fatigue index in specific FFT intervals.

Weld Formability Evaluation and Formability Estimation Model Development in Aluminum Laser Welding (알루미늄 레이저 용접에서 용접부 성형성 평가와 성형성 예측 모델 개발에 대한 연구)

  • Park, Young-Whan
    • Laser Solutions
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    • v.13 no.3
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    • pp.7-12
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    • 2010
  • In this study, laser welding of aluminum AA5182 with AA5356 filler wire was carried out and the formability of the weld joint was evaluated through Erichsen test according to laser power, welding speed and wire feed rate. Fracture was occurred in both directions, perpendicular and parallel to the weld line at 0.75 of Erichsen ratio. Second order Regression model to estimate Erichsen ratio with experimental variables was proposed and the performance of model was evaluated with F-test and average error rate.

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Real-time Aircraft Parameter Estimation using LWR

  • Song,Yongkyu;Hong, Sung-Kyung
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.141.4-141
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    • 2001
  • In this paper the Local Weighted Regression LWR technique is applied to the estimation of aircrcraft parameters. The method consists In improving the Local Weighted Regression LWR technique by adding a data Retention-and-Deletion RD strategy. The improvement comes with reduced computational effort since the two techniques can share their main computational procedures. The purpose of the study was to establish if the proposed algorithm could provide fast and reliable real-time estimations, with accuracy comparable to other well-known off-line identification schemes. The algorithm was tested using specific parameter estimation maneuvers and flight data of the NASA F/A-18 HARV. The results were compared with both the estimation obtained from ...

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A Study on the Out Flow Characteristics of Non-Point Source Pollution in the Branch River of So-yang Lake (소양호 지류하천의 비점오염원 유출특성에 관한 연구)

  • Choi, Han-Kuy;Choi, Chang-Ho;Park, Soo-Jin
    • Journal of Industrial Technology
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    • v.29 no.B
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    • pp.199-205
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    • 2009
  • This study selected Naerin Stream, Inbuk Stream and Buk Stream, branch rivers of Soyang Dam, also area of highland agriculture as test sites and measured flow and water quality, particularly eutrophication factors (BOD, COD, T-N, and T-P) in precipitation season and non precipitation season for a year, 2008. Based on the result, the study examined the change in water quality in relation to flow, and created flow discharged - pollution loads regression line by estimating pollution loads flowed from each branch river. And the study calculated annual pollution discharge loads for unit area and proposed regression equation on it by using regression analysis.

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Speed Estimation of PMSM Using Support Vector Regression (SVM Regression을 이용한 PMSM의 속도 추정)

  • Han Dong Chang;Back Woon Jae;Kim Seong Rag;Kim Han Kil;Shim Jun Hong;Park Kwang Won;Lee Suk Gyu;Park Jung Il
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.7
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    • pp.565-571
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    • 2005
  • We present a novel speed estimation of a Permanent Magnet Synchronous Motor(PMSM) based on Support Vector Regression(SVR). The proposed method can estimate wide speed range, including 0.33Hz with full load, accurately in the steady and transient states where motor parameters variations are known without parameter estimator. Moreover, the method does not need offline training previously but is trained on-line. The training starts with the PMSM operation simultaneously and estimates the speed in real time. The experimental results shows the validity and the usefulness of the proposed algorithm for the 0.4Kw PMSM DSP(TMS320VC33) drive system.

Some Remarks on the Likelihood Inference for the Ratios of Regression Coefficients in Linear Model

  • Kim, Yeong-Hwa;Yang, Wan-Yeon;Kim, M.J.;Park, C.G.
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.1
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    • pp.251-261
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    • 2004
  • The paper focuses primarily on the standard linear multiple regression model where the parameter of interest is a ratio of two regression coefficients. The general model includes the calibration model, the Fieller-Creasy problem, slope-ratio assays, parallel-line assays, and bioequivalence. We provide an orthogonal transformation (cf. Cox and Reid (1987)) of the original parameter vector. Also, we give some remarks on the difficulties associated with likelihood based confidence interval.

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Development of Deformation Predicting Model for Line Heating of Steel Plates (강판의 선상가열시 변형량 예측모델의 개발)

  • Lim, Dong-Yong;Lee, Joo-Sung
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.10a
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    • pp.121-126
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    • 2003
  • This paper is concerns with the development of the formulae to predict deformation of curved plate due to line heating. For this purpose thermal elasto-plastic analysis has been carried out for both flat and curved plate models with varying parameters which affect the result of line heating. based on the results of numerical analysis, the formulae for predicting angular deformation has been derived through the regression analysis, which. It has been seen that the present model well agrees with the numerical analysis results and can reflect the curvature effect of plate to be heated. This paper ends with some comments on this formulae.

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Empirical study of the intention of knowledge hiding and knowledge transfer -A comparative analysis of front-line workers and office workers in a public enterprise- (지식은폐의도와 지식전이의도의 영향요인에 관한 실증분석 -공기업 현장근로자와 사무실근로자의 비교분석-)

  • Kim, Nam Yeol;Jeon, Hyeon Gyu;Kim, Min Yong
    • Knowledge Management Research
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    • v.18 no.3
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    • pp.37-62
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    • 2017
  • Most of the managers know that knowledge sharing has to be precede to create knowledge which has competitive advantage of organizations. Until now the study on knowledge management placed emphasis on knowledge creation and knowledge sharing but there is few study on knowledge hiding. This study investigates the factors implicate on knowledge hiding intention and knowledge transfer intention of front-line workers and office workers and the implication on job performance of knowledge hiding intention and knowledge transfer intention. We collected sample data from 100 front-line workers and 250 office workers and verified hypotheses using Multiple Linear Regression. The result described that factors affect active and passive knowledge hiding intentions and factors affect knowledge hiding intentions of front-line workers and office workers are different.