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In the first step, position of a point on rigid body and orientation of a rigid body on a unit sphere are described.
To maintain human-like active balance for a humanoid robot, this paper proposes a novel adaptive non-parametric foot positioning compensation approach that can modify predefined step position and step duration online with sensor feedback.
Based on these parameters, the position of the mobile station is determined in a second step (position estimation).
In Figure 1, we generated a step signal with random step position, step width, step amplitude, and the length N = 512.
The other parameters optimized were: pH and buffer concentration as well as concentration of ethanol used as organic modifier in the elution step (position B).
In the second step, based on the gain-phase error estimated in the former step, position errors can be obtained by the least squared method [17].
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Atomic steps can be rearranged artificially in a large area using lithographic technique and we are now close to achieving complete control of step positions.
The modeling step positions the virtual objects in the world coordinate system.
Each amplicon contained a number of step positions numbered from zero through the number of simulated march rounds.
Reads were joined into a contig if they derived from adjacent step positions of the same amplicon instance.
In this step position-specific scoring matrices (PSSM) are used that have been inferred from supervised learning on all words of the database (see later).
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