Component integration manufacturing middleware for customized production
Z Luo, D Li, J Wan, S Wang, G Wang, M Cheng… - Advanced Engineering …, 2024 - Elsevier
The cyber-physical production system requires continuous effort to integrate heterogeneous
resources and code with frequent changes in components to support customized production …
resources and code with frequent changes in components to support customized production …
Cloud-Empowered Data-Centric Paradigm for Smart Manufacturing
In the manufacturing industry, there are claims about a novel system or paradigm to
overcome current data interpretation challenges. Anecdotally, these studies have not been …
overcome current data interpretation challenges. Anecdotally, these studies have not been …
QUDOS: quorum-based cloud-edge distributed DNNs for security enhanced industry 4.0
K Wallis, C Reich, B Varghese… - Proceedings of the 14th …, 2021 - dl.acm.org
Distributed machine learning algorithms that employ Deep Neural Networks (DNNs) are
widely used in Industry 4.0 applications, such as smart manufacturing. The layers of a DNN …
widely used in Industry 4.0 applications, such as smart manufacturing. The layers of a DNN …
Tracking in product delivery using portable RFID with arduine
LSP de Carvalho, JF de Lima Nascimento… - Research, Society and …, 2020 - rsdjournal.org
This study aimed to develop a device for traceability of the goods delivery process, using
radio frequency technology (RFID), which will inform the date, time and location where the …
radio frequency technology (RFID), which will inform the date, time and location where the …
[引用][C] Verteilte Datenvalidierungsnetzwerke im industriellen Umfeld
K Wallis - 2023 - Dissertation, Universität Freiburg …