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Industry 4.0 is used interchangeably with the fourth industrial
revolution and represents a new stage in the organization asnd
control of the industrial value chain. Cyber-physical systems form
the basis of industry 4.0 (e.g., 'smart machines'). They use modern
control systems, have embedded software systems, can be addressed
via IoT (the Internet of Things), and may use extensive data
analytics and/or articifical inteligence systems to operate
autonomously. The aim of this book is to provide detailed insights
into the state of art techniques in AI, IoT, Blockchain technology
and associated technologies which play a vital role in the
implementation of a successful project for upcoming and practicing
engineers. Owing to its multidisciplinary nature, Industry 4.0 is
not a single topic but a combination of a multitude of technologies
from different domains. Keeping this in mind the book includes the
following topics: Artificial intelligence Internet of things
Blockchain technology Digital manufacturing Robotics Cybersecurity
The book will be a comprehensive guide to academicians and
engineers who want to align with recent trends of fourth industrial
revolution.
The text provides sustainable energy solutions using smart
technologies such as artificial intelligence, blockchain
technology, and the Internet of Things. It further presents several
case studies on applications of the Internet of Things, artificial
intelligence, and blockchain technology in the field of sustainable
energy. Focuses on the integration of smart technology including
artificial intelligence and sustainable energy Covers recent
advancements in energy management techniques used in residential
and commercial energy systems Highlights the use of artificial
intelligence, machine learning, and their applications in
sustainable energy Discusses important topics such as green energy,
grid modernization, smart security in the power grid, and fault
diagnosis Presents case studies on the applications of the Internet
of Things, blockchain, and artificial intelligence in sustainable
energy The text showcases the latest advancements, and the
importance of technologies including artificial intelligence,
blockchain, and Internet of Things in achieving sustainable energy
systems. It further discusses the role of machine learning, applied
deep learning, and edge computing in renewable energy. The text
cover key concepts such as intelligent battery management system,
energy trading, green energy, grid modernization, electric
vehicles, and charging station optimization. It will serve as an
ideal reference text for senior undergraduate, graduate students,
and academic researchers in the fields including electrical
engineering, electronics and communication engineering, computer
engineering, and environmental engineering.
Provides a comprehensive review on new swarm intelligence Offers
practical implementation of PSO with MATLAB code Presents
statistical analysis techniques so that researchers can analyze
their own experiment design Discusses swarm intelligence algorithms
in social sector and oil and gas industries Covers recent findings
and the implementation techniques to Machine Learning
The text focuses on the theory, design, and implementation of the
Internet of Things (IoT), in a modern communication system. It will
be useful to senior undergraduate, graduate students, and
researchers in diverse fields domains including electrical
engineering, electronics and communications engineering, computer
engineering, and information technology. Features: Presents all the
necessary information on the Internet of Things in modern computing
Examines antenna integration challenges and constraints in the
Internet of Things devices Discusses advanced Internet of Things
networks and advanced controllers required for modern architecture
Explores security and privacy challenges for the Internet of
Things-based health care system Covers implementation of Internet
of Things security protocols such as MQTT, Advanced Message Queuing
Protocol, XMPP, and DSS The text addresses the issues and
challenges in implementing communication and security protocols for
IoT in modern computing. It further highlights the applications of
IoT in diverse areas including remote health monitoring, remote
monitoring of vehicle data and environmental characteristics,
industry 4.0, 5G communications, and Next-gen IoT networks. The
text presents case studies on IoT in modern digital computing. It
will serve as an ideal reference text for senior undergraduate,
graduate students, and academic researchers in diverse fields
domains including electrical engineering, electronics and
communications engineering, computer engineering, and information
technology.
The COVID-19 pandemic has hit the global at a colossal scale. With
worldwide reported cases of 5.34 million it has led to severe
impact on humanity. Being a highly contagious disease, it has given
global health services their most severe challenge. Various
countries are fighting to minimize the losses due to the outbreak,
however a common trait is enforcing lockdown, which has become the
main defence mechanism. Researchers are working around the clock to
find a breakthrough in the diagnostics and treatment of the
pandemic. AI technology is useful for fast drug development and
treatment. In the starting phase of COVID-19 pandemic, the medical
fraternity in China diagnosed the virus using computed tomography
(CT) and X-ray images due to the limitation of testing kits. Deep
learning neural network model have also been used for COVID-19
diagnosis. AI assisted intelligent humanoid robots can be used to
reduce the human contact and spread of COVID-19. In Italy robots
have been used for measuring blood pressure, oxygen saturation and
temperature of patients. Robots have also found applications in
disinfecting and sterilizing of public places, COVID-19 testing,
food and medicine delivery as well as entertaining patients in
hospitals and quarantine centers, thereby reducing the workload of
doctors and nurses. Prediction of the spread of virus and providing
the guidelines or prevention measures is another AI application in
COVID-19. Kaggle and GitHub are the two websites where the
real-time data of COVID-19 is aggregated. This includes confirmed
cases, active cases, cured cases and deaths in each country. This
data set can be used for predicting the active cases across
different regions of the world so that appropriate amount of health
infrastructure can be made available to these places.
This book focuses on artifi cial intelligence in the field of
digital signal processing and wireless communication. The
implementation of machine learning and deep learning in audio,
image, and video processing is presented, while adaptive signal
processing and biomedical signal processing are also explored
through DL algorithms, as well as 5G and green communication.
Finally, metaheuristic algorithms of related mathematical problems
are explored.
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