IoT and Spacecraft Informatics
- 1st Edition - March 29, 2022
- Editors: K.L. Yung, Andrew W. H. IP, Fatos Xhafa, K.K. Tseng
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 0 5 1 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 1 0 5 2 - 9
IoT and Spacecraft Informatics provides the theory and applications of IoT systems in the design, development and operation of spacecraft. Sections present a high-level overview… Read more
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Request a sales quoteIoT and Spacecraft Informatics provides the theory and applications of IoT systems in the design, development and operation of spacecraft. Sections present a high-level overview of IoT and introduce key concepts needed to successfully design IoT solutions, key technologies, protocols, and technical building blocks that combine into complete IoT solutions. The book features the latest advances, findings and state-of-the-art in research, case studies, development and implementation of IoT technologies for spacecraft and space systems. In addition, it concentrates on different aspects and techniques to achieve automatic control of spacecraft.
This book is for researchers, PhD students, engineers and specialists in aerospace engineering as well as those in computer science, computer engineering or mechatronics.
- Presents state-of-the-art research on IoT and spacecraft technology
- Provides artificial intelligence-based solutions and robotics for space exploration applications
- Introduces new applications and case studies of IoT and spacecraft informatics
Engineers and graduates in computer science, computer engineering, or mechatronics who show interests in both of space engineering and IoT.
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of contributors
- About the editors
- Foreword
- Preface
- Acknowledgment
- Chapter 1. Artificial intelligence approach for aerospace defect detection using single-shot multibox detector network in phased array ultrasonic
- Abstract
- 1.1 Introduction
- 1.2 Literature review
- 1.3 Defect detection algorithm
- 1.4 Deployment of defect detection
- 1.5 Implementation
- 1.6 Results
- 1.7 Conclusions
- Acknowledgment
- References
- Chapter 2. Classifying asteroid spectra by data-driven machine learning model
- Abstract
- 2.1 Introduction
- 2.2 Related work
- 2.3 Neighboring discriminant component analysis: a data-driven machine learning model for asteroid spectra feature learning and classification
- 2.4 Experiments
- 2.5 Conclusion
- Acknowledgment
- Appendix A Reflectance spectra characteristics for some representative asteroids from different categories are used in this chapter
- References
- Chapter 3. Recognition of target spacecraft based on shape features
- Abstract
- 3.1 Introduction
- 3.2 Artificial bee colony algorithm
- 3.3 Species-based artificial bee colony algorithm
- 3.4 The application of species-based artificial bee colony in circle detection
- 3.5 The application of species-based artificial bee colony in multicircle detection
- 3.6 The application of species-based artificial bee colony in multitemplate matching
- 3.7 Conclusions
- References
- Chapter 4. Internet of Things, a vision of digital twins and case studies
- Abstract
- 4.1 Introduction to internet of things
- 4.2 Components of internet of things
- 4.3 Digital twin
- 4.4 Digital twin description in internet of things context
- 4.5 Multiagent system architecture
- 4.6 The mathematical construct of a typical digital twin
- 4.7 Internet of things analytics
- 4.8 Discussion
- 4.9 Conclusion
- References
- Chapter 5. Subspace tracking for time-varying direction-of-arrival estimation with sensor arrays
- Abstract
- 5.1 Introduction
- 5.2 Subspace tracking algorithms
- 5.3 Robust subspace tracking
- 5.4 Subspace-based direction-of-arrival tracking
- 5.5 Simulation results
- 5.6 Conclusions
- References
- Chapter 6. An overview of optimization and resolution methods in satellite scheduling and spacecraft operation: description, modeling, and application
- Abstract
- 6.1 Introduction
- 6.2 Satellite scheduling problems
- 6.3 Spacecraft optimization problems
- 6.4 Computational complexity resolution methods
- 6.5 Future trend of algorithms and models and solutions of satellite scheduling problem
- 6.6 Benchmarking and simulation platforms
- 6.7 Conclusions and future work
- Acknowledgments
- References
- Chapter 7. Colored Petri net modeling of the manufacturing processes of space instruments
- Abstract
- 7.1 Introduction
- 7.2 Case study
- 7.3 Fault diagnosis of Rocket engine starting process
- 7.4 Conclusion
- Acknowledgments
- References
- Chapter 8. Product performance model for product innovation, reliability and development in high-tech industries and a case study on the space instrument industry
- Abstract
- 8.1 Introduction
- 8.2 Literature review
- 8.3 Methodology
- 8.4 Methodology
- 8.5 Discussion
- 8.6 Conclusions
- Acknowledgment
- References
- Chapter 9. Monocular simultaneous localization and mapping for a space rover application
- Abstract
- 9.1 Introduction
- 9.2 Related work
- 9.3 Proposed system and algorithm
- 9.4 Experiments
- 9.5 Planetary rover application
- 9.6 Conclusions
- References
- Chapter 10. Reliability and health management of spacecraft
- Abstract
- 10.1 Introduction
- 10.2 An introduction to “health management”
- 10.3 The application of spacecraft health management—integrated vehicle health management
- 10.4 The classical structure of health management system for spacecraft
- 10.5 Benefits of Internet of Things to health management
- 10.6 Prognostics technique
- References
- Index
- No. of pages: 376
- Language: English
- Edition: 1
- Published: March 29, 2022
- Imprint: Elsevier
- Paperback ISBN: 9780128210512
- eBook ISBN: 9780128210529
KY
K.L. Yung
AI
Andrew W. H. IP
FX
Fatos Xhafa
KT