Innovations in Mechatronics Engineering III
Springer International Publishing (Verlag)
978-3-031-61574-0 (ISBN)
This book reports on innovations and engineering achievements of industrial relevance, with a special emphasis on developments in mechatronics, control engineering and signal processing. It gathers peer-reviewed papers presented at the 3rd International Conference "Innovation in Engineering", ICIE 2024, held on June 26-28, 2024, in Povoação, São Miguel Island, Azores, Portugal. It covers advances in automated detection and monitoring systems, industrial applications of machine learning and artificial neural networks, and industrial robots, among other topics. This second volume of a three-volume set, provides engineering researchers and professionals with a timely snapshot of technologies and strategies that should help improve production efficiency, industrial sustainability, and human well-being.
Chapter 1. Industrial IoT platforms enabling Industry 4.0 digitization towards Industry 5.0.- Chapter 2. Neural network predictive model in cutting tool condition detection.- Chapter 3. Transmission Power based Congestion Control using Q-Learning algorithm in Vehicular Ad Hoc Networks (VANET).- Chapter 4. Collaborative Robot Laboratory Setup for Repeatable Force and Speed Experiments.- Chapter 5. Towards Global Sustainability: Exploratory analysis through unsupervised machine learning techniques.- Chapter 6. Structural Kinematic Analysis of a Wheelchair Mechanism Designed for Disabled Persons.- Chapter 7. Application of graph theory in designing the communication system of a robotic production cell.- Chapter 8. Machine Learning Algorithms in Scheduling Problems: An Overview and Future Paths.- Chapter 9. On the Relation Between the Smith Predictor and Algebraic Control Approach for Time Delay Systems: A Case Study.- Chapter 10. Image as a way of processing multidimensional production data for product quality prediction using deep learning.- Chapter 11. OPC-UA in Digital Twins - a performance comparative analysis.- Chapter 12. Design Improvements for an Inspection Rover.- Chapter 13. Decoding the Effect of Descriptive Statistics on Informed Decision-Making.- Chapter 14. Simulation Control of Three-Tank-System Using 2DOF Controller.- Chapter 15. Development of a Serious Game to Support Alzheimer's Patients: First Insights.- Chapter 16. E-voting platform based on blockchain.- Chapter 17. The transformation of Maintenance with the arise of Industry 4.0.- Chapter 18. Real-world comparison of predictive controllers based on internal and external description of the controlled system.- Chapter 19. The Use of Virtual Reality in Lower-Limb Robotic Rehabilitation.- Chapter 20. The contribution of Photovoltaic Systems to Sustainable Agriculture - an Analysis of Agrivoltaic Systems.- etc...
| Erscheinungsdatum | 17.07.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Mechanical Engineering |
| Zusatzinfo | X, 416 p. 236 illus., 187 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Technik ► Maschinenbau | |
| Schlagworte | Automated Process Monitoring • Automated Production Systems • Cyber-Physical Systems • Education in Industry 4.0 • Fault Detection Systems • Feature Engineering Applications • Industry 4.0 Education and Training • Inspection Robotics • Intelligent Detection Systems • Machine Learning Applications in Scheduling • Mobile Robot Control • predictive models • Smart Pneumatic Systems |
| ISBN-10 | 3-031-61574-3 / 3031615743 |
| ISBN-13 | 978-3-031-61574-0 / 9783031615740 |
| Zustand | Neuware |
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