• 제목/요약/키워드: Model calibration

검색결과 1,564건 처리시간 0.025초

Constraint Operator for the Kinematic Calibration of a Parallel Mechanism

  • Lee, Min-Ki;Kim, Tae-Sung;Park, Kun-Woo;Kwon, Sung-Ha
    • Journal of Mechanical Science and Technology
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    • 제17권1호
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    • pp.23-31
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    • 2003
  • This paper introduces a constraint operator for the kinematic calibration of a parallel mechanism. By adopting the concept of a constraint operator, the movement between two poses is constrained. When the constrained movements are satisfied, the active joint displacements are taken and inputted into the kinematic model to compute the theoretical movements. A cost function is derived by the errors between the theoretical movement and the actual movement. The parameters that minimize the cost function are estimated and substituted into the kinematic model for a kinematic calibration. A single constraint plane is employed as a mechanical fixture to constrain the movement, and three digital indicators are used as the sensing devices to determine whether the constrained movement is satisfied. This calibration system represents an effective, low cost and feasible technique for a parallel mechanism. A calibration algorithm is developed with a constraint operator and implemented on a parallel manipulator constructed for a machining center tool.

실내 정밀 매핑을 위한 회전식 스테레오 라인 카메라 시스템의 캘리브레이션 (Calibration of a Rotating Stereo Line Camera System for Indoor Precise Mapping)

  • 오소정;신진수;강정인;이임평
    • 대한원격탐사학회지
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    • 제31권2호
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    • pp.171-182
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    • 2015
  • 본 연구는 실내 정밀 매핑과 정교한 영상 기반 서비스에 활용 가능한 실내의 입체 전방위 영상을 취득하는 시스템과 이에 대한 캘리브레이션 방법을 제안한다. 제안된 시스템은 회전식 스테레오 라인 카메라 방식으로 구성되며, 안정적인 입체시와 객체점의 정밀한 결정에 적합한 입체 전방위 영상을 제공한다. 또한, 제안된 시스템의 투영모델을 기반으로 캘리브레이션을 위한 수학적 모델을 도출한다. 이를 통해 캘리브레이션을 수행하여, 실내 공간에 대해 ${\pm}16cm$ 이내의 정확도로 객체점을 추정할 수 있었다. 제안된 시스템과 캘리브레이션 방법은 실내의 정밀한 3차원 모델링에 활용될 것이다.

복합형 유역모델 STREAM의 개발(II): 모델의 시험 적용 (Development of a Hybrid Watershed Model STREAM: Test Application of the Model)

  • 조홍래;정의상;구본경
    • 한국물환경학회지
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    • 제31권5호
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    • pp.507-522
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    • 2015
  • In this study, some of the model verification results of STREAM (Spatio-Temporal River-basin Ecohydrology Analysis Model), a newly-developed hybrid watershed model, are presented for the runoff processes of nonpoint source pollution. For verification study of STREAM, the model was applied to a test watershed and a sensitivity analysis was also carried out for selected parameters. STREAM was applied to the Mankyung River Watershed to review the applicability of the model in the course of model calibration and validation against the stream flow discharge, suspended sediment discharge and some water quality items (TOC, TN, TP) measured at the watershed outlet. The model setup, simulation and data I/O modules worked as designed and both of the calibration and validation results showed good agreement between the simulated and the measured data sets: NSE over 0.7 and $R^2$ greater than 0.8. The simulation results also include the spatial distribution of runoff processes and watershed mass balance at the watershed scale. Additionally, the irrigation process of the model was examined in detail at reservoirs and paddy fields.

계기 검교정간의 보증시험 절차의 개발 (Development of Measurement Assurance Test Procedures between Calibrations)

  • 염봉진;조재균;이동화
    • 산업공학
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    • 제6권1호
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    • pp.55-65
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    • 1993
  • A nonstandard instrument used in the filed frequently becomes out-of-calibration due to environmental noise, misuse, aging, etc. A substantial amount of loss may result if such nonstandard instrument is used to check product quality and performance. Traditional periodic calibration at the calibration center is not capable of detecting out-of-calibration status while the instrument is in use, and therefore, statistical methods need to be developed to check the status of a nonstandard instrument in the field between calibrations. Developed in this paper is a unified measurement assurance model in which statistical calibration at the calibration center and measurement assurance test in the filed are combined. We developed statistical procedures to detect changes in precision and in the coefficients of the calibration equation. Futher, computational experiments are conducted to evaluate how the power of test varies with respect to the parameters involved. Based upon the computational results we suggest procedures for designing effective measurement assurance tests.

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상태변수 추정을 이용한 김발형 관성항법시스템의 교정기법에 대한 연구 (Calibration of gimballed inertial navigation systems using state estimation)

  • 김갑진;송택렬
    • 제어로봇시스템학회논문지
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    • 제4권1호
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    • pp.62-67
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    • 1998
  • Gimballed Inertial Navigation Systems(GINS) are sophisticated autonomous electro-mechanical systems which supply the position, velocity and attitude of the vehicle on which they are mounted. In order to maintain accuracy of outputs, the GINS are required to regularly calibrate senior errors. However, existing calibration methods take up a long time due to multiposition alignments needed to increase accuracy. A particular system formulation for calibration of a GINS is proposed to enhance system observability and thus to expedite calibration procedure. Performance of the proposed calibration method is compared with existing methods such as Schuler test and muliposition alignment. Simulation studies show the proposed system formulation associated with a suggested suboptimal filter is accurate as well as efficient in error identification essential to GINS calibration.

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현장 데이터를 이용한 연성포장용 피로 공용성 예측모델 검정 (Calibration of Fatigue Performance Prediction Model for Flexible Pavements Using Field Data)

  • 김낙석
    • 한국재난정보학회 논문집
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    • 제8권3호
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    • pp.234-241
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    • 2012
  • 본 연구의 주 목적은 다층 구조를 가진 아스팔트 포장체의 피로균열에 대한 공용성 예측모델을 검정하는 것이다. 그러나, 검정 인자는 목표로 하는 예측모델, 시험법 및 시험중 하중이력에 따라 차이가 있을 수 있다. 본 연구에서 수행된 다양한 현장 조사에 의하면, 연성포장의 피로공용성은 교통하중뿐만 아니라 포장체의 완성후 경과기간에 영향을 받는 것으로 나타났다. 이에 따른 각각의 교통하중과 경과기간에 대한 가중치가 본 연구에서 제시되었다. 또한, 기 발표된 피로 예측모델을 바탕으로 실내와 현장조사를 통하여 얻어진 피로균열 데이터의 상호 상관관계를 분석하여 피로 예측모델에 대한 검정 인자가 개발되었다.

근적외분광분석법을 이용한 과산화수소의 농도 측정 (Determination of Hydrogen Peroxide Concentration by Portable Near-Infrared (NIR) System)

  • 임현량;우영아;장수현;김경미;김효진
    • 약학회지
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    • 제46권5호
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    • pp.324-330
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    • 2002
  • This experiment was carried out to determine non-destructively the hydrogen peroxide concentration of 3% antiseptic hydrogen peroxide solutions by portable near-infrared (NIR) system. Hydrogen peroxide standards were prepared ranging from 0 to 25.6 w/w% and the NIR spectra of hydrogen peroxide standard solutions were collected by using a quartz cell in 1 mm pathlength. We found the variation of absorbance band due to OH vibration of hydrogen peroxide depending on the concentration around 1400 nm in the second derivatives spectra. Partial least square regression (PLSR) and multilinear regression (MLR) were explored to develop a calibration model over the spectral range 1100-1720 nm. The model using PLSR was better than that using MLR. The calibration showed good results with a standard error of prediction (SEP) of 0.16%. In order to validate the developed calibration model, routine analyses were performed using commercial antiseptic hydrogen peroxide solutions. The hydrogen peroxide values from the NIR calibration model were compared with the values from a redox titration method. The NIR routine analyses results showed good correlation with those of the redox titration method. This study showed that the rapid and non-destructive determination of hydrogen peroxide in the antiseptic solution was successfully performed by portable NIR system without very harmful solvents.

The Calibration for Stratified Randomized Response Estimators

  • Son, Chang-Kyoon;Hong, Ki-Hak;Lee, Gi-Sung;Kim, Jong-Min
    • Communications for Statistical Applications and Methods
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    • 제15권4호
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    • pp.597-603
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    • 2008
  • In this paper, we propose the calibration procedure for the valiance reduction of the stratified Warner's randomized response estimators, which suggested by Hong et al. (1994) and Kim and Warde (2004), using auxiliary information at the population level. It is shown that the proposed calibration estimators are more efficient than the ordinary Warner's estimators.

Novel Design Methodology using Automated Model Parameter Generation by Virtual Device Fabrication

  • Lee Jun-Ha;Lee Hoong-Joo
    • KIEE International Transactions on Electrophysics and Applications
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    • 제5C권1호
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    • pp.14-17
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    • 2005
  • In this paper, an automated methodology for generating model parameters considering real manufacturing processes is presented with verified results. In addition, the outcomes of applications to the next generation of flash memory devices using the parameters calibrated from the process specification decision are analyzed. The test vehicle is replaced with a well-calibrated TCAD simulation. First, the calibration methodology is introduced and tested for a flash memory device. The calibration errors are less than 5% of a full chip operation, which is acceptable to designers. The results of the calibration are then used to predict the I-V curves and the model parameters of various transistors for the design of flash devices.

Ensemble Model Output Statistics를 이용한 평창지역 다중 모델 앙상블 결합 및 보정 (A Combination and Calibration of Multi-Model Ensemble of PyeongChang Area Using Ensemble Model Output Statistics)

  • 황유선;김찬수
    • 대기
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    • 제28권3호
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    • pp.247-261
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    • 2018
  • The objective of this paper is to compare probabilistic temperature forecasts from different regional and global ensemble prediction systems over PyeongChang area. A statistical post-processing method is used to take into account combination and calibration of forecasts from different numerical prediction systems, laying greater weight on ensemble model that exhibits the best performance. Observations for temperature were obtained from the 30 stations in PyeongChang and three different ensemble forecasts derived from the European Centre for Medium-Range Weather Forecasts, Ensemble Prediction System for Global and Limited Area Ensemble Prediction System that were obtained between 1 May 2014 and 18 March 2017. Prior to applying to the post-processing methods, reliability analysis was conducted to identify the statistical consistency of ensemble forecasts and corresponding observations. Then, ensemble model output statistics and bias-corrected methods were applied to each raw ensemble model and then proposed weighted combination of ensembles. The results showed that the proposed methods provide improved performances than raw ensemble mean. In particular, multi-model forecast based on ensemble model output statistics was superior to the bias-corrected forecast in terms of deterministic prediction.