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In this paper, we present a framework of orientation analysis for rotated human face detection.
For the 256 QAM modulations, the values are almost stable for rotated constellations in active and no-active modes.
For rotated and/or inclined English character recognition, Hase et al. [23] used a parametric Eigen-space-based approach.
Finally, the high performance of SRHOG for rotated human bodies is demonstrated on a victim dataset which has varied backgrounds, body postures and shear changes.
It can be seen that the fairness is improved among the users for rotated beams compared to the omni-directional transmission scheme as expected.
The proposed approach follows rigorous justification of the need for rotated PRBS inputs, and is tested through computer simulations on two case studies involving a high-purity distillation column and a fluidized catalytic cracking unit.
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For the rotated targets and rotated distractors condition, no significant differences between non-blinkers and blinkers were found in latency (ps>.12) or amplitude (ps>.36) for electrode Pz using independent samples t-tests.
For the rotated QAM, the optimal rotation angles are investigated for the MIMO system according to the maximizing AMI criterion.
As such, these models would predict priming only for identically oriented (i.e., upright) prime-target pairs for short prime durations, with correspondingly smaller amounts of priming for more rotated primes, as compensation for object misorientation (whatever form that takes) could not be completed in the time available.
Following factor extraction and factor rotation, a weighted (synthetic) Q-sort is produced for each rotated factor by using a weighted averaging method to calculate the score for each statement in the factor array [ 27].
It results in a smaller area with a low axial velocity (the velocity in the x direction) for the rotated pipe case when compared with the non-rotating pipe case.
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CEO of Professional Science Editing for Scientists @ prosciediting.com