Sentence examples for missing calibration from inspiring English sources
The missing calibration parameters m, q and γ can now be found by minimizing the error e with a least square method.
Nevertheless differences of trainers- (dentists) and trainees- (study nurses) and inter center methods could vary slightly due to missing calibration prior to the feasibility study.
We examined whether the trial-by-trial error associated with automated SRT calculation, as assessed by the difference in automatically and manually detected SRTs, was higher in infants with one or more missing calibration points (33.5 % of participants).
If a miss-calibration is observed, the extrinsic parameters are corrected by finding the transformation which maximizes the overlap between edges in the image and in the point cloud.
If the first calibration was not successful (i.e., one or more calibrations were missing or were not properly calibrated), the calibration was repeated at least two times to attain satisfactory calibration for all five locations.
BEAST allows for missing data, multiple calibration points, relaxed clock models, and increased flexibility of model parameters when compared to other dating methods (e.g., Multidivtime).
In a paper by the University of Pennsylvania [73], a timing calibration technique is presented that eliminates the need for a specialized data acquisition and can even enable retroactive calibration of datasets where the calibration is missing.
Most of the research has focused on the deduction of the missing functions, basing their calibration using flat plate test cases.
This work proposes a pre-processing strategy for the numerous cases where G variability is missing in the existing calibration database, and where effects of G and Y, the variable of interest, are not independent.
If one or more calibration points were missing after >2 attempts at recalibration, the final calibration outcome was accepted, and the experiment was started.
The calibration of the missing parameters was made by coupling the ANSYS Fluent solver with a Micro-Genetic Algorithm (μGA), developed by the authors in MATLAB.
