For migration track and speed analysis time-lapse videos were captured with a 10× objective at 2-min intervals over 68 min with 300 ms exposure time at three focal planes (15 µm apart) to generate the Z-stacks.
This was done to speed up analysis time and does not change the results.
Moreover, it is applicable on 2- as well as 3-dimensional datasets and profits from a considerably automated analysis which speeds up analysis time, and improves measurement reproducibility for less experienced operators [ 66, 67].
Therefore, this research will deduce important guidelines through the convergency speed analysis of EDAs under different computational times for designing effective EDA algorithms.
Our results showed that a horizontal presentation reduced the total analysis time, in particular for FS and for the fast cine loop speed.
The need to improve analysis times by speeding up the separation by gas chromatography without sacrificing the ability to separate/identify individual components is putting additional pressure on data processing methods.
For speed, the algorithm is implemented on Graphics Processing Unit (GPU) architecture, resulting in analysis times on the order of minutes.
The developed solution addresses both overload and critical crack growth failure modes, requires a single mean crack growth computation, allows the consideration of non-destructive inspections and significantly speeds life-time analysis.
The analysis revealed that high rotational speed, friction time and forging pressure caused high pull-out forces.
Finally, the results of a sensitivity analysis established that the maximum speed, dwell time, and headway are positively correlated with the objective.
Results of their experimental analysis concluded that tool wear is highly sensitive to cutting speed, machining time and feed.
