Knowledge-based fault diagnosis in industrial internet of things: a survey

Y Chi, Y Dong, ZJ Wang, FR Yu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) systems connect a plethora of smart devices, such as
sensors, actuators, and controllers, to enable efficient industrial productions in manners …

Scaling data science solutions with semantics and machine learning: Bosch case

B Zhou, N Nikolov, Z Zheng, X Luo, O Savkovic… - International Semantic …, 2023 - Springer
Abstract Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented
amount of data from factory production, posing big data challenges in volume and variety. In …

[HTML][HTML] Cyber-physical-social awareness platform for comprehensive situation awareness

IB Mirza, D Georgakopoulos, A Yavari - Sensors, 2023 - mdpi.com
Cyber-physical-social computing system integrates the interactions between cyber, physical,
and social spaces by fusing information from these spaces. The result of this fusion can be …

A decentralized edge computing latency-aware task management method with high availability for IoT applications

M Bukhsh, S Abdullah, IS Bajwa - IEEE Access, 2021 - ieeexplore.ieee.org
Rapid growth of Internet of Things (IoT), and other intelligent devices, introduced different
applications which offer real-time latency features; however, it is difficult to handle the large …

[HTML][HTML] Towards a cascading reasoning framework to support responsive ambient-intelligent healthcare interventions

M De Brouwer, F Ongenae, P Bonte, F De Turck - Sensors, 2018 - mdpi.com
In hospitals and smart nursing homes, ambient-intelligent care rooms are equipped with
many sensors. They can monitor environmental and body parameters, and detect wearable …

[HTML][HTML] Research on knowledge graph-driven equipment fault diagnosis method for intelligent manufacturing

C Cai, Z Jiang, H Wu, J Wang, J Liu, L Song - The International Journal of …, 2024 - Springer
In the process of rotating machinery fault diagnosis (RMFD), the lack of feature conditions
leads to the problem of low accuracy of traditional rule-based reasoning methods FD. This …

A Comprehensive Survey on Role of Fog Computing and Need for Semantic Technology in Modern Computing Platform

RS Amshavalli, J Kalaivani - 2023 7th International Conference …, 2023 - ieeexplore.ieee.org
Fog computing can be considered as one of the trending paradigms, as it has the potential
of bringing the end devices closer to the cloud. Fog plays a vital role in bridging the gap …

GEESE: Edge computing enabled by UAVs

M Liyanage, F Dar, R Sharma, H Flores - Pervasive and Mobile Computing, 2021 - Elsevier
Pervasive applications are revolutionizing the perception that users have towards the
environment. Indeed, pervasive applications perform resource-intensive computations over …

A decentralized latency-aware task allocation and group formation approach with fault tolerance for IoT applications

M Mudassar, Y Zhai, L Liao, J Shen - IEEE Access, 2020 - ieeexplore.ieee.org
Development of internet of things (IoT) and smart devices eased life by offering numerous
applications targeting to provide real-time low latency services, but they also brought …

Distributed knowledge inference framework for intelligent fault diagnosis in IIoT systems

Y Chi, ZJ Wang, VCM Leung - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
Knowledge inference using knowledge graphs is one of the recent research trends for fault
diagnosis. As complex Industrial Internet of Things (IIoT) systems evolve to incorporate …