• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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• pp.2492-2494
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• 2005

This study designed on the standard calibration facility for calibration about radar type, ultra-sonic type and floating type. We reviewed calibration facilities, analysis any problems, and proposed optimal plan which uses EDM and electrical level meter.

• 분석과학
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• 제23권1호
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• pp.24-35
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• 2010

본 연구에서는 GC-PFPD와 열탈착 분석기법을 이용한 환원 황화합물(reduced sulfur compounds: RSC)에 대한 열탈착 검량방식의 시간적 재현성을 기존의 외부 검량기법에 덧붙여, 내부표준시료 기법을 연계하여 평가하고자 하였다. 이를 위하여, 4종류의 악취성 황화합물질($H_2S$, $CH_3SH$, DMS, DMDS)과 이들에 대한 내부 표준시료로 CS2를 준비하였다. 이들 표준시료는 저농도(10, 20, 50, 100 ppb)와 고농도 그룹(100, 200, 500, 1000 ppb)을 대표할 수 있게 넓은 범위로 준비하였다. 그리고 외부검량(external calibration)방식의 분석 결과를 부피고정방식(fixed standard volume: FSV)과 농도고정방식(fixed standard concentration: FSC)로 비교하였다. 또한, 2차적으로 FSV 방식의 결과에 외부 및 내부 검량기법을 동시에 적용하여 검량방식의 경시변화(안정도)를 평가하였다. 본 실험의 결과, 감도에 대한 경시변화는 FSC 방식에 비해 FSV 방식에서 작게 나타났다. 따라서 RSC 분석에서 FSV방식이 경시변화를 줄여주는데 상대적으로 효과적이라는 것을 알 수 있었다. 2차적으로 FSV 방식의 결과에 대해 외부 및 내부방식의 감도(기울기 값)를 비교하였다. 이러한 비교를 상대표준편차(RSD)값으로 평가하면, GC-PFPD-TD 시스템의 감도가 비교적 강한 경시변화를 보인다는 것을 알 수 있다. 따라서 이러한 분석기법의 시간적 재현성을 확보하기 위해서는 여러 가지 검정노력이 필요한 것으로 사료된다.

• 비파괴검사학회지
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• 제28권2호
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• pp.151-156
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• 2008

반도체나 디스플레이 제조 등 진공공정의 리크검출에는 질량분석기형(mass spectrometer type) 헬륨 리크검출기(leak detector)가 사용되고 있다. 이 기기를 이용해서 안정된 측정값을 얻기 위해서는 장치 내부에 내장된 투과형(permeation type) 표준리크(standard leak)를 이용해서 자주 spectrometer를 교정해야 한다. 본 연구에서 질량분석기형 리크검출기의 비교교정 장치의 개발과 교정방법에 대한 연구결과를 언급하였다. 따라서 이 기술을 이용하면 질량분석기형 리크검출기를 구비하고 있는 현장에서도 표준리크의 비교교정이 가능하게 된다.

• 공업화학
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• 제31권3호
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• pp.334-337
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• 2020

한국인정기구(KOLAS)는 시험 및 교정기관이 KS Q ISO/IEC 17025 요구사항에 맞추어 적절하게 운영하고 유효한 결과를 생산할 수 있도록 표준안을 제시하고 있다. 국가표준기본법(시험·검사: 시험·검사기관 인정, 교정: 국가교정제도의 확립)을 근거로 운영하고 있다. 최근, 국제시험소인정기구(ILAC)가 자격기준을 강화함에 따라 공인시험·교정기관들도 요구사항(KS Q ISO/IEC 17025:2017)에 맞추어 2020년 11월까지 전환을 완료해야 한다. 국내에서 운영되고 있는 899개 KOLAS 인정시험·검사와 교정기관이 여기에 해당된다. 여기에서는 적격성에 대한 주요 일반 요구사항을 요약하였다.

• Near Infrared Analysis
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• 제1권1호
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• pp.1-7
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• 2000

A convenient algorithm for optimizing wavelength selection in multiple linear regression (MLR) has been developed. MOP (MLP Optimization Program) has been developed to test all possible MLR calibration models in a given spectral range and finally find an optimal MLR model with external validation capability. MOP generates all calibration models from all possible combinations of wavelength, and simultaneously calculates SEC (Standard Error of Calibration) and SEV (Standard Error of Validation) by predicting samples in a validation data set. Finally, with determined SEC and SEV, it calculates another parameter called SAD (Sum of SEC, SEV, and Absolute Difference between SEC and SEV: sum(SEC+SEV+Abs(SEC-SEV)). SAD is an useful parameter to find an optimal calibration model without over-fitting by simultaneously evaluating SEC, SEV, and difference of error between calibration and validation. The calibration model corresponding to the smallest SAD value is chosen as an optimum because the errors in both calibration and validation are minimal as well as similar in scale. To evaluate the capability of MOP, the determination of benzene content in unleaded gasoline has been examined. MOP successfully found the optimal calibration model and showed the better calibration and independent prediction performance compared to conventional MLR calibration.

• 센서학회지
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• 제14권4호
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• pp.231-236
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• 2005

Calibration capability was evaluated using the reference-grade platinum resistance thermometer (PRT) in the temperature range of $-50^{\circ}C$ to $250^{\circ}C$ for the national calibration centers. The reference-grade PRT was calibrated at the several fixed points, which was composed by the freezing points of Sn, In, the melting point of Ga and the triple point of water and Hg, before and after the round-robin test (RRT) experiments. The temperature scale of reference-grade PRT was compared to the local standard PRT's using the system of the national calibration centers. $E_{n}$ values was calculated by the temperature difference between the reference-grade PRT and the local standard PRT, and the best measurement capability. Finally, the capability of the national calibration centers was evaluated by the $E_{n}$ values.

• 대한산업공학회지
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• 제19권2호
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• pp.35-41
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• 1993

Statistical calibration is a useful technique for achieving compatibility between two different measurement methods, and it usually consists of two steps : (1) estimation of the relationship between the standard and nonstandard measurements, and (2) prediction of future standard measurements using the estimated relationship and observed nonstandard measurements. A predictive multivariate errors-in-variables model is presented for the multivariate calibration problem in which the standard as well as the nonstandard measurements are subject to error. For the estimation of the relationship between the two measurements, the maximum likelihood (ML) estimation method is considered. It is shown that the direct and the inverse predictors for the future unknown standard measurement are the same under ML estimation. Based upon large-sample approximations, the mean square error of the predictor is derived.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.911-917
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• 2018

Influence of the adaptors on the calibration of $100{\mu}H$ inductance standard was studied as a function of torque, applied when tightening the standard inductor terminal with the adaptor. Two different homemade adaptors of BPO gold-plated brass (BPO-Au) and banana-copper (BN-Cu) were made for the connection between the LCR meter and the inductance standard. The measured inductance (L) of the standard inductor and the contact resistance ($R_C$) between the adaptor and the standard inductor terminal showed exponential decreases against the torque increase from $25cN{\cdot}m$ to $150cN{\cdot}m$. The measured L and the calculated equivalence series resistance ($R_S$) were dependent on the adaptor type as well as on the $R_C$. The results of the adaptor analysis imply that the BPO-Au adaptor with the lower $R_C$ is more suitable for the inductance calibration. The calculated inductance of $99.956{\mu}H$ corrected by subtraction of the adaptor inductance and the contact resistance contributions from the measured value using the BPO-Au adaptor agreed well with the certificate ($99.948{\mu}H$) of the PTB within the measurement uncertainty of $140{\mu}H/H$.

• Journal of the Korean Statistical Society
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• 제17권1호
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• pp.9-23
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• 1988

The classicla theory of statistical calibration assumes that the standard measurement is exact. From a realistic point of view, however, this assumption needs to be relaxed so that more meaningful calibration procedures may be developed. This paper presents a model which explicitly considers errors in both standard and nonstandard measurements. Under the assumption that replicated observations are available in the calibration experiment, three estimation techniques (ordinary least squares, grouping least squares, and maximum likelihood estimation) combined with two prediction methods (direct and inverse prediction) are compared in terms of the asymptotic mean square error of prediction.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
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• pp.254-262
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• 1990

A predictive functional relationship model is presented for the calibration problem in which the standard as well as the nonstandard measurements are subject to error. For the estimation of the relationship between the two measurements, the ordinary least squares and maximum likelihood estimation methods are considered, while for the prediction of unknown standard measurementswe consider direct and inverse approaches. Relative performances of those calibration procedures are compared in terms of the asymptotic mean square error of prediction.