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We propose a particle swarm optimization (PSO) algorithm which can efficiently find an optimal orientation for each camera.
Our objective is to find the optimal orientation for each camera.
The controller aims at maximizing the electrical power by an optimal orientation of the structure.
We have determined the optimal orientation and position of a nanowire on the membrane.
This research focuses on the effect of rock bolt installation relative to the optimal orientation alternatives.
This hybrid film structure led to optimal orientation of the ruthenium centers for electrochemical response.
Then we can use PSO to compute the optimal orientation of the two cameras in the two periods.
In order to increase the efficiency of the model the optimal orientation could be identified with 1° accuracy.
This is expected from the lower dip angle of Fault B1, which is closer to the optimal orientation.
The multi-orientation EPIs and optimal orientation selection are proved to be effective in detecting and excluding occlusions.
Obtaining the optimal orientation is essential for guiding planners in the land subdivision process, before the lots are designed.
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