This article illustrates the problem ensuring homogeneity and uniformity of nanoscale coatings obtained in vacuum by carbon vapor deposition. Carbon vapors are obtained by heating in a vacuum with one or more electron beams from a water-cooled crucible, which is covered with a molten layer of refractory metal. Due to the peculiarities of the trajectory of the movement of carbon vapors from the crucible to the substrate, a situation may arise with the formation of a "visor" type defect on the coating, which prevents the uniformity of the coating.
The article discusses the challenges of real-time data processing and analyzes various methods used to solve them, with a focus on image processing. It points out the limitations of existing methods and argues for the need to use more effective and modern technologies, proposing parallel-hierarchical networks as a promising solution. The article provides a detailed description of the structural-functional model of this type of network, which involves cyclically transforming the input data matrix using a "common part" criterion and an array evolution operator until a set of individual elements is formed. The proposed model is expected to improve real-time image recognition and can potentially be applied to other fields by using the "common part" criterion.
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