Internet of Things for Industry 4.0: Design, Challenges and Solutions - Couverture souple
Livre 34 sur 129: EAI/Springer Innovations in Communication and Computing
Synopsis
Part I - Smart sensing in Industries.- Sensor design and rapid prototyping for industrial problems.- Technology, protocols and new innovations in IIoT.- Predictive analytics for critical machines using deep learning and machine intelligence.- Smart object recognition for warehouse logistics and security.- Digital Twin creating, challenges and solutions.- Part II - Machine Intelligence and automation.- Machine Health monitoring and fool proof diagnosis.- Role of AI and bio inspired computing in decision making.- Deep learning concepts aiding Industrial applications.- Energy harvesting methodologies and experimentation of sensors and actuators.- Reliability analysis and fault tolerant architecture for IIoT and Edge Computing.- Delay tolerant system for critical machine monitoring.- Part III - Role of robotics in smart production.- Automation solution for smart development applications.- UAV, UGV solutions for warehouse logistics.- Customer interaction and feedback collection robots using deep learning.- Smart recognition system for Business predictions.- Role of RFID in industry 4.0.- Conclusion.
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