A5069237018- IoT and Edge/Fog Computing
- Digital Transformation in Industry
- Smart Grid Security and Resilience
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Anomaly Detection Techniques and Applications
- Internet of Things and AI
Siemens (Germany)
2018-2019
Siemens (Italy)
2018
The Industrial Internet of Things (IIoT) is becoming a reality thanks to Industry 4.0, which requires the connection as many industrial devices possible. sharing and storing huge amount data in Cloud allows implementation new analysis algorithms delivery “services” with added value. From an economical point view, several factors can decide success 4.0 services but, among others, “short latency” be one most interesting, especially market that used “real-time” concept. For these reasons, this...
One of the most interesting application data analysis to industry is real-time detection anomalies during production. Industrial IoT paradigm includes all components realize predictive systems, like anomaly ones. In this case, goal discover patterns, in a given dataset, that do not resemble "normal" behavior, identify faults, malfunctions or effects bad maintenance. The use complex neural networks implement deep learning algorithm for very common. position one main problem: kind requires...
The grow of Industry 4.0 is pushing the deployment Industrial Internet Things (IIoT) allowing many (all) industrial devices to be connected for data sharing. Based on enormous amount stored in Cloud, new analysis algorithms can run and extracted information sold as "service". Even if today applications have still a slow reaction time, it clear that "short latency services" may competitive advantage market. For this reason, paper focused evaluation communication delay due transfer from source...