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Smart Sensors for Industrial Internet of Things: Challenges, Solutions and Applications de Deepak Gupta

Smart Sensors for Industrial Internet of Things: Challenges, Solutions and Applications: Internet of Things

Editat de Deepak Gupta, Victor Hugo C. de Albuquerque, Ashish Khanna, Purnima Lala Mehta
en Limba Engleză Paperback – 2 feb 2022
This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security.

By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.
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Specificații

ISBN-13: 9783030526269
ISBN-10: 3030526267
Ilustrații: XVI, 306 p. 137 illus., 88 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Internet of Things

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Section 1: Industrial Internet of things (IIoT).- Introduction to Industrial Internet of things (IIoT).- IIoT Architecture.- IIoT Key Technologies .- IIoT Use Cases.- Section 2: Smart Sensors for IIoT.- How Smart? – Role of Smart Sensors in IIoT.- Challenges to IIoT Smart Sensor Manufacturing and Deployment.- Section 3: IIoT Smart.- Sensors and Business Aspects.- Smart Sensor IIoT Businesses.- Predictive Analytics with Sensor Data.- Efficient Business Predictions .- Section 4: IIoT Smart Sensors Potential and Applications.- Potential and Importance of Smart Sensors for IIoT.- Real-World Applications of Smart Sensor IIoT.- Section 5: IIoT Smart Sensor Case Studies.- Connected Vehicles – Intelligent Transport Systems.- Internet of Drones.- Precision Farming/Agriculture.- Healthcare.- Conclusion.

Notă biografică

Dr. Deepak Gupta is an eminent academician; plays versatile roles and responsibilities juggling between lectures, research, publications, consultancy, community service, PhD and post-doctorate supervision etc. With 12 years of rich expertise in teaching and two years in industry; he focuses on rational and practical learning. He has contributed massive literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning and Soft Computing. He has served as Editor-in-Chief, Guest Editor, Associate Editor in SCI and various other reputed journals. He has completed his Post-Doc from Inatel, Brazil, and Ph.D. from Dr. APJ Abdul Kalam Technical University. He has authored/Edited 33 books with National/International level publisher (Elsevier, Springer, Wiley, Katson). He has published 118 scientific research publications in reputed International Journals and Conferences including 56 SCI Indexed Journals of IEEE, Elsevier, Springer, Wiley and many more. He is the convener and organizer of ‘ICICC’ springer conference series. 

Prof. Victor Hugo C. de Albuquerque [M’17, SM’19] is a professor and senior researcher at the University of Fortaleza, UNIFOR, Brazil, and Data Science Director at the Superintendency for Research and Public Safety Strategy of Ceará State (SUPESP/CE), Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba, an MSc in Teleinformatics Engineering from the Federal University of Ceará, and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará. He is currently an Associate Professor of the Graduate Program in Applied Informatics of UNIFOR and leader of the Industrial Informatics, Electronics and Health Research Group (CNPq). He is a specialist, mainly, in IoT, Machine/Deep Learning, Patter Recognition, Robotic.

Dr. Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship,and Research & Development He received his Ph.D. degree from NationalInstitute of Technology, Kurukshetra. He has completed his M. Tech. and B.Tech. GGSIPU, Delhi. He has completed his postdoc from Internet of ThingsLab at Inatel, Brazil and University of Valladolid, Spain. He has publishedaround 45 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wileyand many more reputed Journals with cumulative impact factor of above 100. He has around100 research articles in top SCI/ Scopus journals, conferences and book chapters. He is co-author of around 20 edited and text books. His research interest includes Distributed Systems,MANET, FANET, VANET, IoT, Machine learning and many more. He is originator of BhavyaPublications and Universal Innovator Lab. Universal Innovator is actively involved in research,innovation, conferences, startup funding events and workshops. He has served the researchfield as a Keynote Speaker/ Faculty Resource Person/ Session Chair/ Reviewer/ TPC member/post-doctorate supervision. He is convener and Organizer of ICICC conference series. He iscurrently working at the Department of Computer Science and Engineering, Maharaja AgrasenInstitute of Technology, under GGSIPU, Delhi, India. He is also serving as series editor in Elsevierand De Gruyter publishing houses.

Purnima Lala Mehta received her bachelor’s degree and master’s degree in the field of Electronics and Communications Engineering (ECE) from Bharati Vidyapeeth’s College of Engineering for Women (BVCOEW), University of Pune, India, and Northcap University (formerly ITM University), Gurgaon, India respectively. She has received Doctor of Philosophy (PhD) degree, in the field of “Wireless Cellular Communications through Aerial Drones” from Aarhus University, Denmark (ranked 141 by QS World Ranking).  She has been working as an Assistant Professor since July 2012 and has around 8 years of teaching and research experience including international exposure at countries like Denmark, Germany, China, etc. Her research interests include the areas of Mobile Computing, Aerial Drone based Wireless Communications, Wireless Ad-Hoc Networks, Millimeter Wave Communications, Future Generations of Communications, and Business Modelling. She has contributed her papers in multiple peer reviewed conferences, journals and books. For her astounding research work in Springer, she has been awarded ‘Franklin Quarterly Membership’ by London Journals Press. She has been appointed as reviewer of SCI indexed journal; Wireless Personal Communications, Springer and has served as a Resource Person/Panel Speaker at a number of Research events like IEEE 5G Summits, IEEE ANTS conference, etc. She has chaired and conducted multiple sessions in peer conferences including IEEE WPMC, Portugal. 

Textul de pe ultima copertă

This book brings together the latest research in smart sensors technology and exposes the reader to myriad industrial applications that this technology has enabled. The book emphasizes several topics in the area of smart sensors in industrial real-world applications. The contributions in this book give a broader view on the usage of smart sensor devices covering a wide range of interdisciplinary areas like Intelligent Transport Systems, Healthcare, Agriculture, Drone communications and Security.

By presenting an insight into Smart Sensors for Industrial IoT, this book directs the readers to explore the utility and advancement in the smart sensors and their applications into numerous research fields. Lastly, the book aims to reach through a mass number of industry experts, researchers, scientists, engineers, and practitioners and help them guide and evolve to advance research practices.

Caracteristici

Presents the current state of smart sensors for in Industry 4.0 and Industrial Internet of Things Includes solutions to overcome the inefficient sensor technology used at early stages Discusses developing integrated sensors that supply advanced level information by estimating data sensed