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Moreover, whilst [23] describe a one and two dimensional implementation of midpoint displacement, the algorithm becomes unwieldy when extended to higher dimensions.
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To approximate the retrograde flow displacements, the algorithm tracked the motion of actin bundles and fluorescence intensity fluctuations within in the actin network.
This algorithm is fast and corrects the centre-of-rotation displacement directly by incorporating this displacement into the algorithm.
Acceleration measurements of the sprung mass are used with a Kalman filter to estimate the displacements needed for the algorithm.
The displacement feedback algorithm is used to design the controller.
Thus, the global nonlinear equilibrium equations of the structure at the macroscopic level can be solved by using the general displacement control algorithm to capture the equilibrium path with multiple critical points.
By random displacement, we can determine the accuracy of the algorithm in small displacement; all moves are acceptable, but in huge cases, only the small moves are accepted.
Based on the algorithm, the displacement of spot array can be analyzed by handling image before and after the movement to calculate the ∆x,∆y, ∆θ x, and ∆θ y.
Based on this information, for the main results the algorithm total ZOI displacement was limited by a seemingly conservative upper bound of 3 m in all cases.
The algorithm for vertical displacement varied only slightly from Formula 1.
These measurements were repeated for angles from 30° to 90°. Figure 2 shows the flow chart of the algorithm for electrode-displacement imaging.
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