Estimation computational models of the cyber-physical systems functioning

Autor:	Nataliya D. Pankratova, Y. A. Ptukha
Jazyk:	ukrajinština
Rok vydání:	2020
Předmět:	cyber-physical systems the Internet of Things system methodology machine learning computer systems sensors Electronic computers. Computer science QA75.5-76.95
Zdroj:	Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 1 (2020)
Druh dokumentu:	article
ISSN:	2308-8893 1681-6048
DOI:	10.20535/SRIT.2308-8893.2020.1.03
Popis:	This paper reviews the use of computational models to support the functioning of cyber-physical systems (CPS) in the parallel world of the Internet of Things (IoT). Existing models, methods, techniques and their implementation in this direction are studied. The necessity of using machine learning methods due to inaccuracy, fuzziness, incompleteness of the transmitted data from sensors of physical systems is substantiated. The task is to make informed decisions in a timely manner to support the functioning of real objects of a particular cyber-physical system in real time conditions.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/590674b7eeef4e249c50ea9a81caa650 Zobrazit plný text záznamu View record in DOAJ