Ansari I.A., Bajaj V. (eds.) Advanced Signal Processing for Industry 4.0. Volume 1: Evolution, communication protocols, and applications in manufacturing systems

IOP Publishing Ltd, 2023. — 357 p. — ISBN 978-0-7503-5245-1.Industry 4.0 is all about making a drastic change, a revolution in the industrial production, organization, and process in years to come. Industry 4.0 combines concepts like computer vision, machine learning, artificial intelligence (AI), cloud computing, the Internet of Things (IoT), etc., in order to make production, operation, and manufacturing more efficient. Industry 4.0 uses various sensor inputs for operation and IoT for communication. These sensors and fields like data analysis, Big Data, AI, robotics, computer vision, etc., generate a large amount of data; This makes signal processing a major area of research in this revolution.
Industry 4.0 is not only about automation, it is about creating intelligent factories and production units. Industry 4.0 should not be seen just as the introduction of some gadgets into already existing industries, but as a space where the process, product, technology, and people are all intertwined. Industry 4.0 is about creating an environment where people can work with machines through seamless connectivity.
It is about creating a cyber-physical system for the manufacturing sector. The communication and the field of advanced signal processing form the heart of the inevitable fourth Industrial RevolutionPreface
1 Robotics vision for industrial automation
2 Capnography signal processing in trend with Industry 4.0 advancement
3 The future of Industry 4.0: private 5G networks
4 Applications of infrared imaging for non-destructive testing and evaluation of industrial components
5 Customer-driven healthcare through mission-focused approach in 4IR
6 The application of Industry 4.0 technologies for automated health monitoring and surveillance during pandemics and post-pandemic life
7 A novel computational intelligence approach to making efficient decisions under parametric uncertainty of practical models and its applications to Industry 4.0
8 Role of artificial intelligence in industries for advanced applications
9 Artificial intelligence based flexible manufacturing system (FMS)
10 Applications of deep learning in revolutionizing industrial sectors
11 Digitalization in family businesses—a case study in a food industry in Turkey
12 Automatic identification of finger movements for industrial robotic applications using electromyogram signals
13 Data-driven approach to design energy-efficient precoder for QoS-aware MIMO-MRCN system in context of Industry 4.0