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All these data can be measured independently before composite fabrication.
This data can be measured in hourly, daily and monthly increments.
The amount of information contained in a piece of data can be measured by the effect this data has on its observer.
With structured data, almost every data field can be analyzed, missing data can be measured, and the ratio of information to data is very high.
The DNI data can be measured by pyrheliometers which are mounted on an instrument that tracks the sun or by rotating shadow band pyranometers [6].
Frequency response functions (FRF), such as mobilities, are widely used in the analysis of vibration and structure-borne sound and it is important that this FRF data can be measured accurately for all important degrees of freedom.
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Depending on the connection bandwidth available and the size of the data sets being transmitted, the duration of data transfers can be measured in days or even weeks.
The data utility can be measured by information loss metrics.
Moreover, the signal quality (constellation diagram) and data throughput can be measured for the ideal radio link.
Our existing uncertainty model shows clear evidence that the temporal component of spatially variable uncertainty of legacy topographic data sets can be measured in both of our simulations.
The concentration and rate data, C, can be measured by various methods.
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