IoT and Spacecraft Informatics

Erscheinungsjahr 2022
ISBN: 978-0-12-821051-2
Verlag: William Andrew Publishing

Buch, Englisch, 376 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 590 g

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.

Zielgruppe

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.

Autoren/Hrsg.

Yung, K.L.

Xhafa, Fatos

Tseng, K.K.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie

Inhaltsverzeichnis

1. Artificial intelligence approach for aerospace defect detection using single-shot multibox detector network in phased array ultrasonic
2. Classifying asteroid spectra by data-driven machine learning model
3. Recognition of target spacecraft based on shape features
4. Internet of things, an insight to digital twins and case studies
5. Subspace tracking for time-varying direction-of-arrival estimation with sensor arrays
6. An overview of optimization and resolution methods in satellite scheduling and spacecraft operation: description, modeling, and application
7. Colored Petri net modeling of the manufacturing processes of space instruments
8. Product performance model for product innovation, reliability and development in high-tech industries and a case study on the space instrument industry
9. Monocular simultaneous localization and mapping for a space rover application
10. Reliability and health management of spacecraft

Über Autor(innen)

Xhafa, Fatos
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 [e-mail]. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos

Yung, K.L.
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.

Tseng, K.K.
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.