Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/46640
Title: Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles
Authors: Bezrukova, A. G.
Vlasova, O. L.
Keywords: доклады БГУИР;biomineral mixtures;3D disperse systems;information-statistical methods;micro and nanoparticles;online optical control
Issue Date: 2021
Publisher: БГУИР
Citation: Bezrukova, A. G. Information-statistical approach to inverse optical problem solution for 3D disperse systems with nano- and micro particles / Bezrukova A. G., Vlasova O. L. // Доклады БГУИР. – 2021. – № 19(8). – С. 31–34. – DOI : http://dx.doi.org/10.35596/1729-7648-2021-19-8-31-34.
Abstract: Multiparameter analysis of simultaneous optical data for 3D disperse systems (consisted from nanoand/or microparticles of different nature) by information-statistical methods can help to estimate the share of different types of particles in mixtures. At the solution of inverse optical problem for unknown poly-component 3D DS, the comparison of measured parameters with the known ones from the set of mono-component 3D DS can help to identify the component content of the system under study. The approach was tested on the biomineral water mixtures of kaolin clay and bacterium coli bacillus with the help of the program based on the information-statistical theory. To solve the impurity optical recognition tasks, the Base of optical data for 3D DS is needed.
URI: https://libeldoc.bsuir.by/handle/123456789/46640
Appears in Collections:№ 19(8)

Files in This Item:
File Description SizeFormat 
Bezrukova_Information_statistical.pdf694.76 kBAdobe PDFView/Open
Show full item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.