Smart Spaces

by Zhihan Lyu (Editor), Fatos Xhafa PhD (Editor)

Overview

Smart Spaces combines the study of working or living spaces with computing, information equipment, and multimodal sensing devices, and with natural and convenient interactive interfaces to support how people can easily obtain services from computer systems. People's work and life in smart spaces use computer systems; it is a process of uninterrupted interaction between people and the computer system. In this process, the computer is no longer just an information processing tool that passively executes explicit human operation commands but a collaborator with people to complete tasks – a partner to human beings. International research on smart spaces is quite extensive, which shows the important role of smart spaces in ubiquitous computing research. Smart Spaces covers the latest research concepts and technologies of smart spaces, providing technical personnel engaged in smart space related research and industries a more in-depth understanding of smart spaces. This book can be used as a reference for practicing the emerging discipline of Smart Spaces, and will be useful for researchers, scientists, developers, practitioners, and graduate students working in the fields of smart spaces and artificial intelligence. - Comprehensively introduces smart spaces, from basic concepts, core technologies, technical architecture, application scenarios, and other aspects - Covers the latest cutting-edge application technology of smart spaces in various fields, providing relevant practitioners with ideas to solve problems and have a deeper understanding of smart spaces - Serves as teaching material or as a reference for teachers and students of interaction design, internet of things, ubiquitous and pervasive computing, and artificial intelligence - Gives a detailed introduction to the theory of Smart Spaces and uses mathematical formulas

Product Details

ISBN-13:	9780443134630
Publisher:	Elsevier Science & Technology Books
Publication date:	03/18/2024
Series:	Intelligent Data-Centric Systems
Sold by:	Barnes & Noble
Format:	eBook
Pages:	300
File size:	68 MB
Note:	This product may take a few minutes to download.

About the Author

Zhihan Lv is a lecturer, engineer, and researcher in virtual reality, digital twins and metaverse major in mathematics and computer applied technology at the Uppsala University, Visby, Sweden. His research application fields widely range from everyday life to traditional research fields (i.e. geography and transportation, biology and chemistry, medicine and rehabilitation, industry and entertainment). Over the years, he has completed several projects successfully on pc, website, smartphone and smartglasses applications. Dr. Lv is an ACM Distinguished Speaker, IEEE Senior Member, and British Computer Society Fellow. He has published more than 270 high-quality papers in virtual reality, Internet of Things, big data and other fields, in which 43 papers were published in the top journal IEEE/ACM Transactions
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

Table of Contents

1. Smart Spaces: a Review2. An Exploration of Theory for Smart Spaces in Everyday Life: Enriching Ambient Theory for Smart Cities3. Data Fusion and Homogenization: Two key aspects for building Digital Twins of Smart Spaces4. Secured Digital-Twin Data Service for the Internet of Smart Things5. Creating environmentally conscious products and environments with smart materials6. IoT Interoperability Enhances Smart and Healthy Living7. The ecosystem of smart spaces8. Exploring the role of IoT for Sustainable Enhancement in Smart Spaces9. Machine Learning Frameworks in IoT Systems: A Survey, Case Study, and Future Research Directions10. Augmented Reality Content And Relations Of Power In Smart Spaces11. Ensuring a harmonious state of smart space in the presence of conflicting interests of its elements12. Assessment and monitoring of human emotional state and behavour in a smart space environment13. Digital Twins for Smart City14. From smart city to smart urban spaces. Prerequisites for the formation of smart urban spaces based on the participation of residents in the largest cities of Russia15. Smart and Sustainable Solutions for Thriving Tourism Destinations16. Design of a Smart Parking-Space Allocation System for Greater Energy Efficiency17. Smart cities as spaces of flows and the digital turn in architecture and urban planning: Big Data vis-à-vis environmental and social equity18. Generative Adversarial Network (GAN) Assisted Smart IoT Data Service for Disaster Damage Assessment19. Design and Development of Enhanced Algorithm for the Demarcation of Ocean Wakes from SAR Imagery of Rough Sea Condition20. A way to ensure information security of smart spaces

What People are Saying About This

From the Publisher

Summarizes the latest concepts, technologies, and applications of smart spaces, providing readers with a deeper understanding of this emerging discipline