• Proceedings of the KSME Conference
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• 2001.06e
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• pp.601-606
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• 2001

Measurement uncertainty should be evaluated according to ISO/IEC 17025. In Flow measurement area, uncertainty evaluation scheme was applied to the reference flow meter, sonic nozzle. Uncertainty was calculated by evaluating various uncertainty factors affected in flow measurement. The expanded uncertainty of the sonic nozzle was 0.21 % (confidence level of 95 %). This evaluation example will be useful in flow measurement uncertainty determination of other flow meters.

• 유체기계공업학회:학술대회논문집
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• 2002.12a
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• pp.354-359
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• 2002

The new piston prover was developed and the flow measurement uncertainty of this piston prover was evaluated according to ISO/IEC 17025. The laser interferometer was employed to measure accurately the testing time. Uncertainty was calculated with evaluation of various uncertainty factors affected in flow measurement. The expanded uncertainty(U) of the piston Over was $1.3{\times}10^{-3}$ (at the confidence level of $95\%$). This evaluation example will be useful in flow measurement uncertainty determination of other gas flow measurement system.

• 대한방사선방어학회:학술대회논문집
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• 2011.11a
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• pp.118-119
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• 2011

• Analytical Science and Technology
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• v.16 no.6
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• pp.475-482
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• 2003

Uncertainty of final measurement results considering main uncertainty sources being in dioxin analysis of a blood sample was estimated. 'The Guide to the Expression of Uncertainty in Measurement' was suggested for accomplishment of this study. After uncertainties for the 11 compounds detected in this experiment of the 17 target compounds of dioxin and furan were calculated considering the uncertainty sources of each step, uncertainty for the total dioxin concentration was estimated by combining these values. The concentration of dioxin in blood sample was expressed as $0.0746{\pm}0.0074pg$ I-TEQ/g weight or $20.68{\pm}2.04pg$ I-TEQ/g lipid, including the uncertainty values obtained in this way. The former expression indicates the conversion concentration into the sample weight and the latter one indicates the conversion concentration into the lipid weight. The quality of measured analytical results could be assured quantitatively by estimating uncertainty of measurement results and showing the range of measurand.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.4
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• pp.307-316
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• 2019

In the agricultural sector, greenhouse gas emissions vary depending on the interaction of all ecosystem changes such as soil environment, weather environment, crop growth, and anthropogenic farming activities. Agricultural sector greenhouse gas emissions resulting from many of these interactions are highly variable. Uncertainty-based evaluation that defines the interval with confidence level of greenhouse gas emission and absorption is necessary to take account of the variance characteristics of individual emissions, but research on uncertainty evaluation method is insufficient. This study aims to decide on the effect of reducing N₂O emissions from upland soils using an uncertainty-based approach. An uncertainty-based approach confirmed whether there was a difference between confidence intervals in the 5 different fertilizer treatment groups to reduce greenhouse gas emissions. Unlike the statistically significant test with three repetition averages, the uncertainty-based approach method estimated in this study is able to estimate the confidence interval considering the distribution characteristics of the emissions, such as the dispersion characteristics of individual emissions. Therefore, it is considered that the reliability of emissions can be improved by statistically testing the variance characteristics of emissions such as the uncertainty-based approach. It is hoped that the direction of the uncertainty-based approach for the effect of reducing greenhouse gas emissions in agriculture will be helpful in the future development of agricultural greenhouse gas emission reduction technology, adaptation to climate change, and further development of sustainable eco-social system.

• STIMA Bulletin
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• s.5
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• pp.24-37
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• 2006

과학기술테이터는 엄격한 평가기준에 의해 신뢰성과 정확성이 보장된 참조표준(standard reference data)값을 지닐 수 있어야 한다. 참조표준은 측정표준을 바탕으로 구하여진 결과 값을 표준화시키는 작업으로서 테잍의 생산조건, 실험환경, 측정방법, 데이터 처리 등이 검토되어 참조데이터(reference data)와 구분된다. 참조표준은 '공인된 수치데이터'로 표현되고 이는 측정결과의 신뢰도를 정량적으로 나타내는 불확도(uncertainty)로 표기된다.본고에서는 참조표준에 대한 의미를 이해하고,평가되지 않은 과학기술 데이터가 어떤 평가 과정을 거쳐 참조표준으로 분류되는지를 알아보기 위해 소재물성분야를 예로 살펴보았다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2005.11a
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• pp.405-406
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• 2005

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2008.11a
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• pp.393-394
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.783-784
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• 2010

• Proceedings of the Optical Society of Korea Conference
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• 2006.07a
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• pp.517-518
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• 2006