On the Possibility of Designing an Advanced Sensor with Particle Sizing Using Dynamic Light Scattering Time Series Spectral Entropy and Artificial Neural Network

Autor:	Dan Chicea, Aleksandr S. Doroshkevich, Andriy Lyubchyk
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	Dynamic Light Scattering time series spectral entropy Artificial Neural Network particle sizing advanced sensor Chemical technology TP1-1185
Zdroj:	Sensors, Vol 22, Iss 10, p 3871 (2022)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s22103871
Popis:	Dynamic Light Scattering is a well-established technique used in particle sizing. An alternative procedure for Dynamic Light Scattering time series processing based on spectral entropy computation and Artificial Neural Networks is described. An error analysis of the proposed method was carried out and the results on both the simulated and on the experimental DLS time series are presented in detail. The results reveal the possibility of designing an advanced sensor capable of detecting particles with a size bigger than a threshold using this alternative for processing the DLS time series.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b9fea884f38c4d3fb23074e74a4c0006 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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