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Authors: Štefan Kozák 1 ; Eugen Ružický 1 ; Alena Kozáková 2 ; Juraj Štefanovič 1 and Vladimir Kozák 3

Affiliations: 1 Faculty of Informatics, Pan-European University, Bratislava and Slovakia ; 2 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava and Slovakia ; 3 Institute of Informatics, Slovak Academy of Sciences, Bratislava and Slovakia

Keyword(s): ICT, Digital Factory, Industry 4.0, Cyber-physical Systems, Big Data, IoT, IIoT, Artificial Intelligence.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Communication Networking ; Data Engineering ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Health Information Systems ; Industrial Applications of Artificial Intelligence ; Integration/Interoperability ; Internet of Things ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems ; Telecommunications

Abstract: Information and communication technologies (ICT), automation, and robotics remain key sciences of the 21st century. Currently, manufacturing enterprises are facing challenges with regard to new concepts such as Internet of Things, Industrial Internet of Things, Cyber-physical Systems or Cloud-based Manufacturing. The Industrial Internet of Things (IIoT) is an emerging paradigm in today’s control industry comprising Internet-enabled cyber-physical devices with the ability to link to new interconnection technologies. Under this perspective, new industrial cyber-physical “things” can be accessible and available from remote locations; information on them can be processed and stored in distributed locations favouring cooperation and coordination to achieve high performance in real time. The paper presents the state-of-the-art in research, development and education in new information a communications technologies for advanced manufacturing based on intelligent modelling and control methods , and their applications with the focus on new trends declared in Industry 4.0. (More)

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Paper citation in several formats:
Kozák, Š.; Ružický, E.; Kozáková, A.; Štefanovič, J. and Kozák, V. (2019). ICT for Advanced Manufacturing. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4992, SciTePress, pages 682-688. DOI: 10.5220/0007768506820688

@conference{iceis19,
author={Štefan Kozák. and Eugen Ružický. and Alena Kozáková. and Juraj Štefanovič. and Vladimir Kozák.},
title={ICT for Advanced Manufacturing},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2019},
pages={682-688},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007768506820688},
isbn={978-989-758-372-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - ICT for Advanced Manufacturing
SN - 978-989-758-372-8
IS - 2184-4992
AU - Kozák, Š.
AU - Ružický, E.
AU - Kozáková, A.
AU - Štefanovič, J.
AU - Kozák, V.
PY - 2019
SP - 682
EP - 688
DO - 10.5220/0007768506820688
PB - SciTePress