Open AccessPhysical Parameter Identification Algorithm Modeling for Complex Microsystem via Triangulation Functions
Author(s) -
E. N. Meshcheryakova
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.36.24931
Subject(s) - delaunay triangulation , triangulation , bowyer–watson algorithm , minimum weight triangulation , computer science , identification (biology) , constrained delaunay triangulation , algorithm , surface triangulation , function (biology) , artificial intelligence , mathematics , geometry , botany , evolutionary biology , biology
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.