cover

Intelligent Internet of Things

From Device to Fog and Cloud

Editors: Firouzi, Farshad, Chakrabarty, Krishnendu, Nassif, Sani (Eds.)

  • Presents an efficient method to understand the most appropriate positioning of a business against its competitors by digitally transforming into an agile and profitable business based on AI-driven IoT solutions
  • Breaks down the IoT ecosystem into smaller components, from device, to connectivity and to cloud. We will explain the intersection of these components and discuss how to decide on the right mix of technology given the constraints of each application
  • Tailored to bridge the gap between IoT and AI technologies and healthcare, this book will show readers how organizations can exploit, design, and utilize scalable AI-driven solutions to improve the levels of security, success of the services, ROI, revenue, and customer engagement
  • Discusses real case studies (e.g., from IBM Watson) and practical applications, highlighting the importance of AI and IoT in several vertical & horizontal markets
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Buy this book

eBook 59,49 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: January 28, 2020
  • ISBN 978-3-030-30367-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 103,99 €
price for Spain (gross)
  • Due: January 28, 2020
  • ISBN 978-3-030-30366-2
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.

About the authors

Farshad Firouzi is an Assistant Professor at the Electrical and Computer Engineering department of Duke University. Dr. Firouzi is a top-producing expert and technical leader with 10+ years’ experience offering strong performance in all aspects of AI/ML, Smart Data, Computer Architecture, VLSI, and IoT including R&D, consulting services, strategic planning, and technology solutions, across vertical industries, e.g., Semiconductor, Automotive, Finance, Manufacturing, Logistics, and eHealth. Dr. Firouzi authored 45+ Conference/Journal papers and served as Guest/Associate Editor of several well-known Journals (e.g., IEEE TVLSI, IEEE TCAD, Elsevier FGCS, and Elsevier MICPRO) as well as chair of 10+ international conferences/workshops on AI/IoT/eHealth, e.g., in the USA, Portugal, Greece, Czech Republic, Spain, and Germany. Dr. Firouzi received his M.S., Ph.D., and Postdoctoral degrees in Computer Engineering from University of Tehran, Karlsruhe Institute of Technology, and KU Leuven (IMEC), respectively.

Krishnendu Chakrabarty is the John Cocke Distinguished Professor and Department Chair of Electrical and Computer Engineering at Duke University. Prof. Chakrabarty has received numerous awards for his research, including the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Computer Society Technical Achievement Award, the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award, the Semiconductor Research Corporation Technical Excellence Award, and the Japan Society for the Promotion of Science (JSPS) Fellowship in the “Short Term S: Nobel Prize Level” category. His current research projects include: microfluidic biochips; testing and design-for-testability of integrated circuits and systems; hardware security; machine learning for fault diagnosis and failure prediction; neuromorphic computing systems. He holds over a dozen US patents and his research on microfluidic biochips has been licensed by Advanced Liquid Logic, Illumina, GenMark and Baebies, Inc. He is a Fellow of AAAS, a Fellow of ACM, a Fellow of IEEE, and a Golden Core Member of the IEEE Computer Society. He was a Distinguished Visitor of the IEEE Computer Society (2005-2007, 2010-2012), a Distinguished Lecturer of the IEEE Circuits and Systems Society (2006-2007, 2012-2013), and an ACM Distinguished Speaker (2008-2016). Prof. Chakrabarty served as the Editor-in-Chief of IEEE Design & Test of Computers during 2010-2012, ACM Journal on Emerging Technologies in Computing Systems during 2010-2015, and IEEE Transactions on VLSI Systems during 2015-2018. Prof. Chakrabarty received his M.S. and Ph.D. degrees in Computer Science and Engineering from the University of Michigan. 

Sani Nassif has 28 years of research and development experience at Bell Labs and IBM Research where he led teams working on various aspects of integrated circuit modeling, simulation, statistical analysis, and optimization. In 2014 he formed Radyalis, a company focused on applying engineering techniques to the discipline of cancer radiation therapy. He is a widely published and world-renowned expert on simulation, optimization, and statistics. Dr. Nassif has collaborated with key medical research institutions, including: Massachusetts General Hospital, Mayo Clinic, M.D. Anderson Cancer Research Center, and St. Jude Children’s Research Hospital, among others. He was a member of the IBM Academy, an IBM Master Inventor with 75 patents, and is an IEEE Fellow. Dr. Nassif received his M.S. and Ph.D. in Electrical Engineering from Carnegie Mellon University.

Buy this book

eBook 59,49 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: January 28, 2020
  • ISBN 978-3-030-30367-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 103,99 €
price for Spain (gross)
  • Due: January 28, 2020
  • ISBN 978-3-030-30366-2
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Internet of Things
Book Subtitle
From Device to Fog and Cloud
Editors
  • Farshad Firouzi
  • Krishnendu Chakrabarty
  • Sani Nassif
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30367-9
DOI
10.1007/978-3-030-30367-9
Hardcover ISBN
978-3-030-30366-2
Edition Number
1
Number of Pages
X, 522
Number of Illustrations
76 b/w illustrations, 262 illustrations in colour
Topics