Parallel implementation of the informative areas generation method in the spatial spectrum domain

Abstract

This paper proposes a parallel implementation of the image informative segments extraction method. The images are segmented in the spatial spectrum domain. The median energy in each selected segment is viewed upon as an area. For purposes of time savings, a parallel implementation of the algorithm for calculating the areas is developed. The developed approach to the parallel algorithm implementation is tested on a high performance multicore computing system. The experiments have shown that the parallel implementation of the method allows us to obtain a three-fold speedup, which is a good result.

Creating methods and algorithms of adaptive control in biotechnical complexes of corrective action on human respiratory system

“…Creating adaptive training complexes is a rather complicated theoretical problem [1,2,3]. That is due first of all to the complexity and variability of the processed signals.…”

“…In the process of breathing, the adjustable resistance in the breathing tube connected to the mouthpiece is used to measure by means of sensors the pressure in the breathing tube P(t), which is then transmitted to the monitoring and control unit through the analog signal processing unit [2].…”