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They rely on fuzzy systems model architecture and are able to incrementally adapt themselves during the on-line process, resolving dynamic process changes which may appear on-line over time due to long-term fluctuations (e.g., caused by dirt) and changes in the composition of the educt, often leading to severe error drifts of static models.
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To restrain the error drift, system reset is necessary.
Additionally, to avoid severe error propagation, pixel-value interpolation is used for the missing I-slices in order to provide smaller error drifting.
Finally, as the percentage of fragment quality in quality increments increases, the error drift that results due to inter-frame prediction will also increase in a linear fashion.
Inertial measuring units (IMUs) is a self-contained device and can provide long-term navigation information independently, but it has the drawback of error drift.
The process is found to be resistant to short-term error drift when operating in a controlled environment but systematic and random errors are demonstrated to be highly dependent on geometry.
where δp t) is the positional error drift after time (t) with initial value δp t0), δV t0) is the initial velocity error, b a (t0) and δ SFa (t0) are the initial accelerometer offset bias and scale factor error respectively, δb g (t0) and δ SFg (t0) are the initial gyro offset bias and scale factor error respectively.
Some of these findings might be due to laboratory error (drift in standards), but that seems unlikely.
The largest uncertainty components are caused by Abbe errors, orthogonality errors, drifts and noise.
The proposed approach can substantially reduce the errors (drifts) accumulated from the integration of acceleration signal.
However, any potential measurement errors (drifts) due to different methodologies, if any, over time would have resulted in the underestimation of the observed relationships.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com