Dear colleagues,

Cloud computing and cyberphysical systems (CPSs) are increasing the demand for IoT-oriented and edge computing-enabled equipment in order to feed cloud data lakes with more advanced and processed information. Electrical drives and equipment are evolving in smart sensors able to perform their primary operations and simultaneously feed extended cloud data analytics processes. In this transformation, a key role is played by signal conditioning from sensors, filtering, control algorithms, and processing methods that need to be implemented onboard (edge computing) because of real-time computing, bandwidth, etc. In fact, these algorithms perform the first stage of cloud data analytics whose aims are information extraction, model identification, predictions, etc. Finally, electrical drives and equipment with edge-computing techniques can extend their role from manufacturing elements to more powerful virtual agents/sensors in the cloud computing environment.

Therefore, the main themes promoted by this Special Issue are:

• IoT-oriented electrical drives and equipment
• Signal conditioning and parameter identification for edge computing applications
• Edge and cloud computing solutions for industry 4.0 applications (efficiency monitoring, predictive maintenance, zero-defect manufacturing, etc.)
• AI-based techniques to improve edge computing in electrical drives and equipment
• Smart and virtual sensors for IoT-embedded systems
• Quality and accuracy estimation of edge computing
• Sensor technologies and protocols for IoT systems
• Advanced strategies for big data, sensor data fusion, and data analytics
• Edge, fog, and cloud computing architectures for IoT systems
• Deep integration of data for innovative IoT applications
• Distributed data processing for IoT
• Distributed AI algorithms

Prof. Giuseppe Leonardo Cascella
Dr. Elia Brescia
Guest Editors

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