Abstract
This article describes the possibility of triangulation function use for the classification, analysis and identification of complex microsystem physical object parameters. They analyzed the existing methods and identification algorithms, their advantages and disadvantages are highlighted. The existing methods of triangulation are considered, the possibility of Delaunay triangulation is described for surfactant signal 3-D model development and analysis. They developed the algorithm to identify the state of an object using the triangulation function that takes into account the change of node coordinates and the length of the triangulation grid edges. They presented the visual UML model. The conclusions are drawn about the possibility of triangulation function use for the analysis of complex microsystem state.
Highlights
One of the priority trends of RF science and technology development [1, 2] is the implementation of micro and nanotechnologies, which will allow to proceed to the implementation of complex microsystems
The use of surface-acoustic waves makes it possible to analyze the physical state of the structural elements for complex microsystems, and increases the probability of change identification in the structure of the surface layer of the object under study
Using the signals from the sensors on surfactants and Delaunay triangulation, it was proposed to develop the 3-D model describing the changes in the physical parameters of structural elements
Summary
One of the priority trends of RF science and technology development [1, 2] is the implementation of micro and nanotechnologies, which will allow to proceed to the implementation of complex microsystems. In order to obtain a complete picture of the surface layer change, they developed the 3-D model of a physical object using the signals from the sensors on surface-acoustic waves. In order to monitor the parameters of physical objects for complex microsystems, it is necessary to search for new methods of classification, analysis and identification of signals describing the state of objects.
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