Analysis of safety and security challenges and opportunities related to cyber-physical systems

AH El-Kady, S Halim, MM El-Halwagi, F Khan - Process Safety and …, 2023 - Elsevier
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …

ManuChain II: Blockchained smart contract system as the digital twin of decentralized autonomous manufacturing toward resilience in industry 5.0

J Leng, X Zhu, Z Huang, K Xu, Z Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In Industry 5.0 vision, machines are empowered with the interaction capability to
autonomously make local decisions and coordinate with each other as well as humans …

Parallel factories for smart industrial operations: From big AI models to field foundational models and scenarios engineering

J Lu, X Wang, X Cheng, J Yang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Briefing: The rapid advancement of fundamental theories and computing capacity has
brought artificial intelligence, internet of things, extended reality, and many other new …

Model-based Trustworthiness Evaluation of Autonomous Cyber-Physical Production Systems: A Systematic Mapping Study

M Zahid, A Bucaioni, F Flammini - ACM Computing Surveys, 2024 - dl.acm.org
The fourth industrial revolution, ie, Industry 4.0, is associated with Cyber-Physical Systems
(CPS), which are entities integrating hardware (eg, smart sensors and actuators connected …

Metaverses-based parallel oil fields in CPSS: A framework and methodology

X Wang, X Cheng, J Lu, O Kwan, S Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Aiming to provide a novel paradigm of oil fields, metaverses-based parallel oil fields are
proposed in this article. Compared with the existing smart/intelligent oil fields in cyber …

Intelligent fault diagnosis for large-scale rotating machines using binarized deep neural networks and random forests

H Li, G Hu, J Li, M Zhou - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
Recently, deep neural network (DNN) models work incredibly well, and edge computing has
achieved great success in real-world scenarios, such as fault diagnosis for large-scale …

VirtualClassroom: A lecturer-centered consumer-grade immersive teaching system in cyber–physical–social space

T Shen, SS Huang, D Li, Z Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Lecturers, as the guidance of the classroom, play a significant role in the teaching process.
However, the lecturers' sense of space immersion has been ignored in current virtual …

An online learning framework for sensor fault diagnosis analysis in autonomous cars

X Yan, M Sarkar, B Lartey, B Gebru… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper proposes a novel data-driven technique, namely Online Learning for sensor
Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars …

Augmented industrial data-driven modeling under the curse of dimensionality

X Jiang, X Kong, Z Ge - IEEE/CAA Journal of Automatica Sinica, 2023 - ieeexplore.ieee.org
The curse of dimensionality refers to the problem of increased sparsity and computational
complexity when dealing with high-dimensional data. In recent years, the types and …

[PDF][PDF] Analysis of safeness in a Petri net-based specification of the control part of cyber-physical systems

M Wojnakowski, R Wiśniewski… - … Journal of Applied …, 2021 - intapi.sciendo.com
The paper proposes an algorithm for safeness verification of a Petri net-based specification
of the control part of cyberphysical systems. The method involves a linear algebra technique …