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Evaluation of a water phantom detector-applicator setup for independent experimental verification of <sup>106</sup>Ru ocular brachytherapy applicators. [PDF]
Dahlander S +4 more
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Redefining Standard Measurement Uncertainty
GUM визначає стандартну невизначеність вимірювання як стандартне відхилення розподілу ймовірностей, що описує невизначеність, пов’язану з оцінкою вимірюваної величини, і визначає розширену невизначеність як кратну стандартній невизначеності.
Antonio Possolo, Olha Bodnar
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Gas flow standards and their uncertainty
Metrologia, 2022Abstract We review primary and working gas flow standards that are used to calibrate gas flow meters. For each type of primary standard, we describe the principles and practical considerations of its operation and describe one example implementation.
John D Wright +3 more
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Adoption of Standards under Uncertainty [PDF]
The presence of noise in compliance times may have a critical impact on the selection of new technological standards. A technically superior standard is not necessarily viable because an arbitrarily small amount of noise may render coordination on that standard impossible. The criterion for the viability of a standard is that the sum of "support ratios"
Michael Ostrovsky, Michael Schwarz
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Uncertainty Evaluation of a Broadband Attenuation Standard
2004 Conference on Precision Electromagnetic Measurements, 2004A standard step attenuator has been developed. It comprises a build-up chain of ten steps of power ratio measurement and operates in a frequency range of 10 MHz to 18 GHz. The overall system has a dynamic range of 90 dB and an expanded uncertainty of 0.006 dB (k=2).
Joo-Gwang Lee +3 more
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Measure uncertainty in ultraviolet index standard
2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 2011This paper follows International Standards Organization (ISO) by “Guide to the Expression of Uncertainty in Measurement, GUM”. In order to measure Ultraviolet Index (UVI) standard, it is necessary in calibration or test laboratory field norm on the authentication.
null Jen-Yu Shieh +4 more
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Quantifying Model Uncertainty Using Measurement Uncertainty Standards
Volume 5: 37th Design Automation Conference, Parts A and B, 2011There is always a deviation between a model prediction and the reality that the model intends to represent. The deviation is largely caused by the model uncertainty due to ignorance, assumptions, simplification, and other sources of lack of knowledge. Quantifying model uncertainty is a vital task and requires the comparison between model prediction and
Xiaoping Du, Harsheel Shah
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