Processor Units
7.2 Image Vision Architectures and Electronic Design
7.3 Image Segmentation and Image Clustering
7.4 Image Segmentation for Food Defect Detection
7.5 Random Forest Pixel Classification
References
14 8 Electronic and Reverse Engineering 8.1 Reverse Engineering Systems and Mechanical Precision 8.2 Working Processing and Adaptation 8.3 Reverse Engineering and Self‐Learning Automatic Working Piece Classification 8.4 Tools Supporting RE: AR and Image Processing for Size Measurement 8.5 RE in Micrometric Scale: RE Approach for Photonic Crystals 8.6 RE for the Production of Pipeline Components 8.7 RE in the Precision Manufacturing Process for Thin Film Devices 8.8 Advanced RE Processes in Industry 5.0 8.9 RE in Nanocomposite Production Processes 8.10 RE in Electronic Board Production References
15 9 Rapid Prototyping 9.1 Rapid Prototyping Tools and Microscale Electronic Systems: Methodological Approaches 9.2 Examples of Antenna and Detection System Rapid Prototyping 9.3 Principles of Mechanical Piece Rapid Prototyping and Innovative Materials 9.4 Rapid Prototyping and Artificial Intelligence Upgrade 9.5 Rapid Prototyping Oriented Toward Patent Development 9.6 Nanocomposite Artificial Skin Rapid Prototyping Process References
16 10 Scientific Research in Industry 10.1 Guidelines to Construct an Advanced Research Unit in Industry in the Electronic and Mechatronic Field 10.2 Guidelines to Formulate a Patent 10.3 Guideline to Propose Technological Advances for Public Entities and in Industry 5.0 Research Project 10.4 Innovation Process Projects: Example of a Smart Wine Factory 10.5 Guideline for Project Management References
18 Index
List of Tables
1 Chapter 1Table 1.1 Spectral ranges of infrared technology.Table 1.2 Advantages and disadvantages of network typologies.Table 1.3 Main specifications of sensors used for traceability.Table 1.4 Main specifications of sensor transmission protocols.Table 1.5 Other protocols usable in industry.Table 1.6 Classification of machine learning algorithms.Table 1.7 Possible limits of advanced technologies and technical risks.Table 1.8 Goals achievable in manufacturing industry.Table 1.9 Example of a correlation matrix for a model with five attributes (Table 1.10 Industrial sectors and advanced application fields.
2 Chapter 2Table 2.1 Functions of objects constituting a data processing workflow.Table 2.2 Algorithm performance indicators and related formulas.Table 2.3 Functions of actors of the AR system.Table 2.4 Limits of the AR system.Table 2.5 Technologies and examples of implementable logics.Table 2.6 Example of a 4M map.Table 2.7 Types of control charts.Table 2.8 Main specifications of the AR communication system.Table 2.9 Maintenance definitions.Table 2.10 Predictive actions for a polishing process.Table 2.11 Best measured main parameters for locomotive brake tests.Table 2.12 Example of advanced information platforms integrating artificial ...Table 2.13 Main specification of the telecardiology network.
3 Chapter 3Table 3.1 Risks arising from technological innovation.Table 3.2 Examples of wireless sensor protocols.Table 3.3 Main specifications of communication protocols.Table 3.4 Logic conditions and actuation of the production system illustrate...Table 3.5 Example of a dataset used for the automated classification of the ...Table 3.6 Calculated bias and weight values for each neuron of the hidden la...
4 Chapter 4Table 4.1 Application of basic sensors in industry.Table 4.2 IoT sensors in a secure working environment.Table 4.3 Requirement for intelligent load switching.Table 4.4 Electrical abnormalities.Table 4.5 Example of online configuration for a platform controlling machine...Table 4.6 Example of online configuration for a platform controlling a railw...Table 4.7 Example of online configuration for a platform controlling a road ...Table 4.8 Example of online configuration for a platform controlling a quarr...Table 4.9 Example of online configuration for a telemedicine platform.Table 4.10 Blockchain class definition.
5 Chapter
