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Robust numerical algorithms and software suitable for real time execution must augment the control theory foundation.
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For k = 1.8, for instance, one waveform requires 180%% of the processing resources of a single processor for real-time execution.
We developed a custom spatial interpolation algorithm because none of these methods were tailored for real-time execution.
Experiments using phantom and clinical data sets are presented, demonstrating the effectiveness of the method for a real time execution.
It also incorporates mechanisms for fault tolerance, real time execution, and active power management.
The approximation technique utilized in SAX makes it a good candidate for real-time implementation on a smartphone as it requires less memory and execution time in comparison to raw time series.
Its low average execution time suggests that the proposed method is suitable for real-time implementation.
Using gossip for real-time task execution systems has been proposed in the papers [59, 60], but the research focuses and methods in these works are different from ours.
However, for such as size of covariance matrix, real-time execution (40 ms for 25 frames per second) as required for visual tracking is impossible without optimizations.
ARM Cortex-A15 should also reach real-time execution for such image size, once the other parts of the algorithm will be optimized.
Real-time resource provisioning and hard real-time execution needs to be ensured for seamless service provisioning.
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