Guest Editors
Dr. Satya Prakash Yadav, G.L. Bajaj Institute of technology and Management, India.
Dr. Sanjeev Kumar Pippal, G.L. Bajaj Institute of technology and Management, India.
Dr. Krishna Kant Agarwal, ABES Institute of Technology, India.
Prof. Dimitrios A. Karras, National and Kapodistrian University of Athens, Greece.
Summary
Internet
of things is a well explored domain from both research and real time
applications, but the past few years multiple new facets of Internet of things
have emerged that have brought massive changes in the computer science research
community. A similar change has been brought by the concept of digital twins
and cognitive twins in the Internet of Things powered manufacturing and product
platforms with huge IoT brands like Siemens MindSphere backing the same.
Research and implementations in terms of both attention and funds have grown
exponentially towards the unique concept of digital and cognitive twins the
past few years, such that even federal governments is utilising it like system
operations; railways and power plants have been used in cities since Jan 1,
2019.
Aim
and objective
This
research venture aims and aspires to provide an insight into the developments,
implementations, challenges, scope and limitations of cognitive and digital
twins in the domain of Internet of things with special emphasis on case studies
on power system, over all architecture, administration, simulation and
operations by Singapore government. It also focuses on harnessing the current
research into its implications in the real business world by elucidating
research initiatives of major technology giants in corporate and research
domain like Massachusetts Institute of Technology (MIT) press, Harvard
University Press (HUP), Columbia University Press, Google, Microsoft, Facebook
and some fast developing Softwares companies.
The
scope of this research extends from latest trends in internet of things from a
pragmatic business perspective and its contingent combinational implementations
with digital and cognitive twins, which is elaborated as follows:
1.
Comprehending capabilities of internet of things
2.
Developments in Internet of Things (IoT) based organizations
3.
Elaborating multiple facets cognitive and digital twins
4.
A review of various internet of things and digital twin ventures by research
giants
5.
Applications of cognitive and digital in business enabled by Internet of Things
(IoT)
6.
Case study on federal government of Singapore’s digital twin applicatio
7.
Enabling prominent Digital twin based applications
8.
Understanding intuitive abilities of digital-cognitive twins
9.
Major frameworks and techniques implemented for Digital-Cognitive twins
10.
Elaborating challenges of Real time digital-cognitive applications
11.
Computation limitation of Digital-cognitive implementations
12.
Future of digital-cognitive enabled Internet of things (IoT)
Keywords
AI, IoT, Big Data analytics, Machine Learning, Deep Learning, Network, Cloud services, Trust management, Blockchain, 5G communication, Optical networks, Tactile internet.
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