IoT and Spacecraft Informatics

IoT and Spacecraft Informatics

1st Edition - March 29, 2022

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  • Editors: K.L. Yung, Andrew Ip, Fatos Xhafa, K.K. Tseng
  • Paperback ISBN: 9780128210512
  • eBook ISBN: 9780128210529

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Description

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 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.

Key Features

  • 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

Readership

Aerospace engineering Researchers, PhD students, engineers and specialists in the field comprising space systems, computer science, communication, data science, data engineering, spacecraft engineering. Engineers and graduates in computer science, computer engineering, or mechatronics who show interests in both of space engineering and IoT

Table of Contents

  • 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

Product details

  • No. of pages: 376
  • Language: English
  • Copyright: © Elsevier 2022
  • Published: March 29, 2022
  • Imprint: Elsevier
  • Paperback ISBN: 9780128210512
  • eBook ISBN: 9780128210529

About the Editors

K.L. Yung

Prof. K. L. YUNG received the B.Sc. degree in electronic engineering, in 1975, the M.Sc. degree in DIC in automatic control systems, in 1976, and the Ph.D. degree in microprocessor applications in process control at U.K., in 1985. He became a Chartered Engineer (MIEE) in 1981. After graduation, he was with companies at U.K., such as BOC Advanced Welding Co., Ltd., the British Ever Ready Group, and the Cranfield Unit for Precision Engineering. In 1986, he returned to Hong Kong to join the Hong Kong Productivity Council as a Consultant and subsequently switched to academia to join The Hong Kong Polytechnic University, where he is currently the Chair Professor of precision engineering with the Department of Industrial and Systems Engineering. He has authored over 200 journal papers and conference publications in his research related areas. His research interests include space systems and precision motion control, aspects of computer integrated manufacturing and robotics, aerospace engineering, logistic planning and optimization, and computer vision. He has received many international awards.

Affiliations and Expertise

Professor, Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong

Andrew Ip

Prof. Andrew W. H. Ip has more than 30 years of experience in teaching, research, education, industry and consulting. He received his PhD from Loughborough University (U.K.), MBA from Brunel University (U.K.), MSc in Industrial Engineering from Cranfield University (U.K.), and LLB (Hons) from the University of Wolverhampton (U.K.). He is now Professor Emeritus of Mechanical Engineering of University of Saskatchewan, and Principal Research Fellow in the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University. He is also Honorary Fellow of the University of Warwick, Warwick Manufacturing Group. Prof. Ip and his research team was awarded “Gold Medal with the Congratulations of Jury” and “Thailand Award for Best International Invention from The National Research Council of Thailand (NRCT)” in the 43rd International Exhibition of Inventions of Geneva. And in 2013, he obtained Natural Science Award - Second Class, presented by the Ministry of Education of Mainland China. Prof. Ip has published nearly 240 papers with over 130 papers in SCI indexed journals, and also over 130 papers in conference proceedings, and has written books and invited book chapters. He is also the Editor-in-Chief of Enterprise Information Systems, Taylor and Francis publishing, and the Editor-in-Chief and Founder of International Journal of Engineering Business Management, SAGE publication and editorial member of various international journals. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and the Hong Kong Institution of Engineers (HKIE).

Affiliations and Expertise

Professor Emeritus of Mechanical Engineering, University of Saskatchewan and Principal Research Fellow, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong

Fatos Xhafa

Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). He was a Distinguished Guest Professor at Hubei University of Technology, China, for the duration of three years (2016-2019). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 55). He has been awarded teaching and research merits by the Spanish Ministry of Science and Education, by IEEE conferences and best paper awards. Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and Clarivate WoS Science Citation Index) and of International Journal of Grid and Utility Computing, (Emerging Sources Citation Index), and AE/EB Member of several indexed Int'l Journals. Prof. Xhafa is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things. His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, security and trustworthy computing and machine learning, among others. He can be reached at fatos@cs.upc.edu. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos

Affiliations and Expertise

Full Professor of Computer Science, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

K.K. Tseng

Prof. K. K. Tseng is currently an Associate Professor of Harbin Institute of Technology of mainland China, and a Shenzhen Pea-cock B-level Talent. He received the Ph.D. degree in computer information and engineering from National Chiao Tung University, Taiwan, in 2006. He has many years of research and development experience, since 2004, and has been long engaged in biometric systems and algorithms research. His current research results are published in 65 articles of which about 20 is a high-impact factor of theSCI magazine or the famous ACM/IEEE series of journals.

Affiliations and Expertise

Associate Professor, Harbin Institute of Technology, China

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