Recent Advancements in ICT Infrastructure and Applications

1. Auflage 2022
ISBN: 978-981-19-2376-0
Verlag: Springer Nature Singapore

Buch, Englisch, 274 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g

Reihe: Studies in Infrastructure and Control

This book covers complete spectrum of the ICT infrastructure elements required to design, develop and deploy the ICT applications at large scale. Considering the focus of governments worldwide to develop smart cities with zero environmental footprint, the book is timely and enlightens the way forward to achieve the goal by addressing the technological aspects. In particular, the book provides an in depth discussion of the sensing infrastructure, communication protocols, computation frameworks, storage architectures, software frameworks, and data analytics. The book also presents the ICT application-related case studies in the domain of transportation, health care, energy, and disaster management, to name a few. The book is used as a reference for design, development, and large-scale deployment of ICT applications by practitioners, professionals, government officials, and engineering students.

Zielgruppe

Research

Autoren/Hrsg.

Chaturvedi, Manish

Yadav, Ramnarayan

Patel, Pankesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Wissenssoziologie, Wissenschaftssoziologie, Techniksoziologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Introduction.- Sensing 101.- FPGA-based Error Correction in MEMS Sensors: Case Study of Respiration Monitoring System.- Computation Infrastructure: Data offloading, Processing, and Privacy.- Fog Computing Infrastructure for Smart City Applications.- Distributed Storage Infrastructure: Foundations, Analytics, Tools, and Applications.- Stream Data Processing Systems with Progressive Quality Improvement.- Explainable AI for ICT: System and Software Architecture.- Security Infrastructure for Cyber Attack Targeted Networks And Services.- Case Studies: Cancelable Biometric-based Secure Systems.- Cloud-based Remote Healthcare Delivery and Its Impact on Society: A Case Study.

Über Autor(innen)

Dr. Manish Chaturvedi is currently an assistant professor of Computer Science at Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad Gujarat, India. Before joining IITRAM, he worked at Nirma University (2003-2016) and Pandit Deendayal Petroleum University (2017-2019) as an assistant professor of Computer Science. Manish has earned his PhD degree in ICT from Dhirubhai Ambani Institute of ICT (DA-IICT), India. His research interests include the design of intelligent transportation systems, embedded systems and IoT, scalable protocol design for large distributed systems, and the application of ICT for solving problems of societal importance. He has academic and research interests in the domain of distributed data structures, peer to peer content sharing, and blockchain framework. He has extensively worked on the ICT application in the domain of intelligent transportation systems. His work has been published in the reputed journals and conferences such as IEEE Transactions on Intelligent Transportation Systems, Pervasive and Mobile Computing Elsevier, ITSC, ICDCN, VTC, and COMSNETS to name a few.

Dr. Pankesh Patel is an applied research scientist and educator in the area of system and software engineering. He focuses on building software development methodologies and tools to easily develop applications in the cross section of software engineering, Internet of things, and industrial Internet of things. Currently, he is an associate professor at University of South Carolina, USA and a senior research scientist at the AI Institute, University of South Carolina, USA. He is also a Marie-Curie Fellow at SFI Confirm Center for Smart Manufacturing, Data Science Institute, NUI Galway, Ireland. Before joining this position, he was Senior Research Scientist at Fraunhofer USA—Center for Experimental Software Engineering (CESE) from August 2017 to January 2019. At Fraunhofer USA, his focus was on implementation of industrial Internet of things (IIoT) techniques and methodologies in commercial environments. He worked as Research Scientist in the Industrial Software System (ISS) group at ABB Corporate Research-India from 2014 to 2017. He obtained his PhD in Computer Science from the University of Paris VI (UPMC), France, with a “highest honors” (“Tres Honorable” in French) title. His PhD was funded by the French National Institute for Research in Computer Science and Control (INRIA), Paris, France.

Dr. Ram Narayan Yadav is currently working as Assistant Professor in the area of Computer Science and Engineering at Institute of Infrastructure Technology Research and Management (IITRAM), Ahmedabad, Gujarat, India. Before joining IITRAM, He was working as Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Information Technology (IIIT), Dharwad, India (January 2019–December 2019). He received his PhD in Computer Science and Engineering from Indian Institute of Technology (IIT) Patna, India, in 2017. During his PhD, he worked on development of the opportunistic spectrum access algorithms for cognitive radio networks. His research interests include algorithmic graph theory, approximation algorithms, distributed algorithms, spectrum assignments, and connectivity problems in computer networks. Previously, he received MTech in Information and Communications Technology (ICT) from Indian Institute of Technology (IIT), Jodhpur, in 2013. He also worked as Postdoc with Prof. Andrzej Pelc at the University of Quebec (UQO), Canada (2018–2019).