Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/111784
Полная запись метаданных
Поле DCЗначениеЯзык
dc.contributor.authorLiagkou, V.en
dc.contributor.authorStylios, C.en
dc.contributor.authorPappa, L.en
dc.contributor.authorPetunin, A.en
dc.date.accessioned2022-05-12T08:22:52Z-
dc.date.available2022-05-12T08:22:52Z-
dc.date.issued2021-
dc.identifier.citationChallenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence and Cybernetics / V. Liagkou, C. Stylios, L. Pappa et al. // Electronics (Switzerland). — 2021. — Vol. 10. — Iss. 16. — 2001.en
dc.identifier.issn2079-9292-
dc.identifier.otherAll Open Access, Gold3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111784-
dc.description.abstractIndustry 4.0 has risen as an integrated digital manufacturing environment, and it has created a novel research perspective that has thrust research to interdisciplinarity and exploitation of ICT advances. This work presents and discusses the main aspects of Industry 4.0 and how intelligence can be embedded in manufacturing to create the smart factory. It briefly describes the main components of Industry 4.0, and it focuses on the security challenges that the fully interconnected ecosystem of Industry 4.0 has to meet and the threats for each component. Preserving security has a crucial role in Industry 4.0, and it is vital for its existence, so the main research directions on how to ensure the confidentiality and integrity of the information shared among the Industry 4.0 components are presented. Another view is in light of the security issues that come as a result of enabling new technologies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.description.sponsorshipAcknowledgements. We thank Dawn Ernstzen, Division of Physiotherapy, Stellenbosch University, for her contextualisation work for chronic pain management in SA used in the example in this article, and Michelle Galloway for her support in finalising the submission on behalf of the author team. Funding. The authors were funded, partially or in full, by the SAGE project, a 3-year (2014 - 2017) Flagship Grant from the South African Medical Research Council. The Flagship Grant programme was not involved in the conceptualisation or conduct of this study.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPI AGen1
dc.publisherMDPI AGen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceElectronics (Switzerland)2
dc.sourceElectronics (Switzerland)en
dc.subjectARTIFICIAL INTELLIGENCEen
dc.subjectCYBER-PHYSICAL SYSTEMSen
dc.subjectCYBERSECURITYen
dc.subjectINDUSTRY 4.0en
dc.subjectINTERNET OF THINGSen
dc.subjectMECHATRONICSen
dc.subjectSECURITY THREATSen
dc.titleChallenges and Opportunities in Industry 4.0 for Mechatronics, Artificial Intelligence and Cyberneticsen
dc.typeReviewen
dc.typeinfo:eu-repo/semantics/reviewen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.rsi47027707-
dc.identifier.doi10.3390/electronics10162001-
dc.identifier.scopus85113151983-
local.contributor.employeeLiagkou, V., Department of Informatics and Telecommunications, University of Ioannina, Arta, 47150, Greece; Stylios, C., Department of Informatics and Telecommunications, University of Ioannina, Arta, 47150, Greece; Pappa, L., Department of Informatics and Telecommunications, University of Ioannina, Arta, 47150, Greece; Petunin, A., Institute of Mechanics and Machine-Building, Ural Federal University Named after First President of Russia B. N. Yeltsin, Mira Str., 19, Yekaterinburg, 620002, Russian Federationen
local.issue16-
local.volume10-
dc.identifier.wos000688997200001-
local.contributor.departmentDepartment of Informatics and Telecommunications, University of Ioannina, Arta, 47150, Greece; Institute of Mechanics and Machine-Building, Ural Federal University Named after First President of Russia B. N. Yeltsin, Mira Str., 19, Yekaterinburg, 620002, Russian Federationen
local.identifier.pure23694172-
local.description.order2001-
local.identifier.eid2-s2.0-85113151983-
local.identifier.wosWOS:000688997200001-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Файлы этого ресурса:
Файл Описание РазмерФормат 
2-s2.0-85113151983.pdf8,07 MBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.