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This comprehensive handbook has become the definitive reference
work in the field of nanoscience and nanotechnology, and this 4th
edition incorporates a number of recent new developments. It
integrates nanofabrication, nanomaterials, nanodevices,
nanomechanics, nanotribology, materials science, and reliability
engineering knowledge in just one volume. Furthermore, it discusses
various nanostructures; micro/nanofabrication; micro/nanodevices
and biomicro/nanodevices, as well as scanning probe microscopy;
nanotribology and nanomechanics; molecularly thick films;
industrial applications and nanodevice reliability; societal,
environmental, health and safety issues; and nanotechnology
education. In this new edition, written by an international team of
over 140 distinguished experts and put together by an experienced
editor with a comprehensive understanding of the field, almost all
the chapters are either new or substantially revised and expanded,
with new topics of interest added. It is an essential resource for
anyone working in the rapidly evolving field of key technology,
including mechanical and electrical engineers, materials
scientists, physicists, and chemists.
Tremendous growth in healthcare treatment techniques and methods
has led to the emergence of numerous storage and communication
problems and need for security among vendors and patients. This
book brings together latest applications and state-of-the-art
developments in healthcare sector using Blockchain technology. It
explains how blockchain can enhance security, privacy,
interoperability, and data accessibility including AI with
blockchains, blockchains for medical imaging to supply chain
management, and centralized management/clearing houses alongside
DLT. Features: Includes theoretical concepts, empirical studies and
detailed overview of various aspects related to development of
healthcare applications from a reliable, trusted, and secure data
transmission perspective. Provide insights on business applications
of Blockchain, particularly in the healthcare sector. Explores how
Blockchain can solve the transparency issues in the clinical
research. Discusses AI with Blockchains, ranging from medical
imaging to supply chain management. Reviews benchmark testing of AI
with Blockchains and its impacts upon medical uses. This book aims
at researchers and graduate students in healthcare information
systems, computer and electrical engineering.
Covers the fundamentals of Machine Learning and Deep Learning in
the context of healthcare applications Discusses various data
collection approaches from various sources and how to use them in
Machine Learning/Deep Learning models Integrates several aspects of
AI-based Computational Intelligence like Machine Learning and Deep
Learning from diversified perspectives which describe recent
research trends and advanced topics in the field Explores the
current and future impacts of pandemics and risk mitigation in
healthcare with advanced analytics Emphazises feature selection as
an important step in any accurate model simulation, ML/DL methods
are used to help train the system and extract the positive solution
implicitly
Recent research has led to a deeper understanding of the nature and consequences of interactions between materials on an atomic scale. The results have resonated throughout the field of tribology. For example, new applications require detailed understanding of the tribological process on macro- and microscales and new knowledge guides the rational design of material for these applications. A two volume set, the Modern Tribology Handbook reports on the current state-of-the-field as it reflects these developments, including all industrial applications. In the Modern Tribology Handbook you will get: o A thorough review of the basic concepts of contact, friction, wear, and lubrication o Comprehensive coverage of experimental studies o The fascinating subject of molecular dynamics simulations o An exploration of both conventional and new tribological materials o Knowledge of the advantages and limitations of ceramics, diamond-like carbon and related films, and a wide range of coating composites o A section devoted to industrial components and systems Conventional tribology has become well established in the past fifty years but few handbooks that exist are dated. The rapid evolution of micro- and nanotribology will cause it to take center stage for the next decade, but much of the new information has not made it into the hands that need to use it. Extensively illustrated and well-researched, the Modern Tribology Handbook gives you comprehensive information on conventional topics and, more importantly, emphasizes all industrial applications, including the fundamentals of the emerging field of micro-and nanotribology.
Semantic web technologies (SWTs) offer the richest
machine-interpretable (rather than just machine-processable) and
explicit semantics that are being extensively used in various
domains and industries. This book provides a roadmap for semantic
web technologies (SWTs) and highlights their role in a wide range
of domains including cloud computing, Internet of Things, big data,
sensor network, and so forth. It also explores the prospects of
these technologies including different data interchange formats,
query languages, ontologies, Linked Data, and notations. The role
of SWTs in 'epidemic Covid-19', 'e-learning platforms and systems',
'block chain', 'open online courses', and 'visual analytics in
healthcare' is described as well. This book: Explores all the
critical aspects of semantic web technologies (SWTs) Discusses the
impact of SWTs on cloud computing, Internet of Things, big data,
and sensor network Offers a comprehensive examination of the
emerging research in the areas of SWTs and their related domains
Provides a template to develop a wide range of smart and
intelligent applications Includes latest applications and examples
with real data This book is aimed at researchers and graduate
students in computer science, informatics, web technology, cloud
computing, and Internet of Things.
1. This book show-cases and contextualises representative writing
in popular Indian media by journalists, academics, lawyers and
social activists on the massive yet desperate defiance of the
migrant workers to the sudden lockdown shutting all economic
activities and creating panic. 2. It nudges the reader toward a
better and more complex understanding of how the migrant crisis
panned out and how it was addressed by the media in discussing its
impact, the government's policy response and the role of the
judiciary. 3. It will be of interest to departments of Media
studies, journalism, sociology, law, public policy, labour and
economics, welfare economics, gender studies, and development
studies across the UK/US.
Integration of IoT (Internet of Things) with big data and cloud
computing has brought forward numerous advantages and challenges
such as data analytics, integration, and storage. This book
highlights these challenges and provides an integrating framework
for these technologies, illustrating the role of blockchain in all
possible facets of IoT security. Furthermore, it investigates the
security and privacy issues associated with various IoT systems
along with exploring various machine learning-based IoT security
solutions. This book brings together state-of-the-art innovations,
research activities (both in academia and in industry), and the
corresponding standardization impacts of 5G as well. Aimed at
graduate students, researchers in computer science and engineering,
communication networking, IoT, machine learning and pattern
recognition, this book Showcases the basics of both IoT and various
security paradigms supporting IoT, including Blockchain Explores
various machine learning-based IoT security solutions and
highlights the importance of IoT for industries and smart cities
Presents various competitive technologies of Blockchain, especially
concerned with IoT security Provides insights into the taxonomy of
challenges, issues, and research directions in IoT-based
applications Includes examples and illustrations to effectively
demonstrate the principles, algorithm, applications, and practices
of security in the IoT environment
The Internet has gone from an Internet of people to an Internet of
Things (IoT). This has brought forth strong levels of complexity in
handling interoperability that involves the integrating of wireless
sensor networks (WSNs) into IoT. This book offers insights into the
evolution, usage, challenges, and proposed countermeasures
associated with the integration. Focusing on the integration of
WSNs into IoT and shedding further light on the subtleties of such
integration, this book aims to highlight the encountered problems
and provide suitable solutions. It throws light on the various
types of threats that can attack both WSNs and IoT along with the
recent approaches to counter them. This book is designed to be the
first choice of reference at research and development centers,
academic institutions, university libraries, and any institution
interested in the integration of WSNs into IoT. Undergraduate and
postgraduate students, Ph.D. scholars, industry technologists,
young entrepreneurs, and researchers working in the field of
security and privacy in IoT are the primary audience of this book.
The book aims to showcase the basics of both IoT and Blockchain for
beginners as well as their integration and challenge discussions
for existing practitioner. It aims to develop understanding of the
role of blockchain in fostering security. The objective of this
book is to initiate conversations among technologists, engineers,
scientists, and clinicians to synergize their efforts in producing
low-cost, high-performance, highly efficient, deployable IoT
systems. It presents a stepwise discussion, exhaustive literature
survey, rigorous experimental analysis and discussions to
demonstrate the usage of blockchain technology for securing
communications. The book evaluates, investigate, analyze and
outline a set of security challenges that needs to be addressed in
the near future. The book is designed to be the first reference
choice at research and development centers, academic institutions,
university libraries and any institutions interested in exploring
blockchain. UG/PG students, PhD Scholars of this fields, industry
technologists, young entrepreneurs and researchers working in the
field of blockchain technology are the primary audience of this
book.
The purpose of this edited book is to present and showcase the
basic fundamentals, applications, and integration of both IoT and
Blockchain. The trend of applying Blockchain to IoT is rapidly
growing because it helps to overcome various challenges faced by
IoT, from smart manufacturing to unmanned aerial vehicles. Thise
book aims to showcase the basics of both IoT and Blockchain as well
as the integration and challenges for existing practitioners. Thise
book initiates conversations among technologists, engineers,
scientists, and clinicians to synergize their efforts in producing
low-cost, high-performance, highly efficient, deployable IoT
systems. Thise book is theory-based and is useful for engineers
from various disciplines, including industrial engineering,
computer science, electronics, telecommunications, electrical,
agricultural, and cybersecurity, along with researchers,
professionals, and students.
Highlights developments, discoveries, and practical and advanced
experiences related to responsive distributed computing and how it
can support the deployment of trajectory-based applications in
intelligent systems. Presents metamodeling with new trajectories
patterns which are very useful for intelligent transportation
systems. Examines the processing aspects of raw trajectories to
develop other types of semantic and activity-type and space-time
path type trajectories. Discusses Complex Event Processing (CEP),
Internet of Things (IoT), Internet of Vehicle (IoV), V2X
communication, Big Data Analytics, distributed processing
frameworks, and Cloud Computing. Presents a number of case studies
to demonstrate smart trajectories related to spatio-temporal events
such as traffic congestion, viral contamination, and pedestrian
accidents.
Explores different dimensions of computational intelligence
applications and illustrates its use in the solution of assorted
real world biomedical and healthcare problems Provides guidance in
developing intelligence based diagnostic systems, efficient models
and cost effective machines Provides the latest research findings,
solutions to the concerning issues and relevant theoretical
frameworks in the area of machine learning and deep learning for
healthcare systems Describes experiences and findings relating to
protocol design, prototyping, experimental evaluation, real
test-beds, and empirical characterization of security and privacy
interoperability issues in healthcare applications Explores and
illustrates the current and future impacts of pandemics and
mitigatse risk in healthcare with advanced analytics
Blockchain Technology Solutions for the Security of IoT-Based
Healthcare Systems explores the various benefits and challenges
associated with the integration of blockchain with IoT healthcare
systems, focusing on designing cognitive-embedded data technologies
to aid better decision-making, processing and analysis of large
amounts of data collected through IoT. This book series targets the
adaptation of decision-making approaches under cognitive computing
paradigms to demonstrate how the proposed procedures, as well as
big data and Internet of Things (IoT) problems can be handled in
practice. Current Internet of Things (IoT) based healthcare systems
are incapable of sharing data between platforms in an efficient
manner and holding them securely at the logical and physical level.
To this end, blockchain technology guarantees a fully autonomous
and secure ecosystem by exploiting the combined advantages of smart
contracts and global consensus. However, incorporating blockchain
technology in IoT healthcare systems is not easy. Centralized
networks in their current capacity will be incapable to meet the
data storage demands of the incoming surge of IoT based healthcare
wearables.
Integration of IoT (Internet of Things) with big data and cloud
computing has brought forward numerous advantages and challenges
such as data analytics, integration, and storage. This book
highlights these challenges and provides an integrating framework
for these technologies, illustrating the role of blockchain in all
possible facets of IoT security. Furthermore, it investigates the
security and privacy issues associated with various IoT systems
along with exploring various machine learning-based IoT security
solutions. This book brings together state-of-the-art innovations,
research activities (both in academia and in industry), and the
corresponding standardization impacts of 5G as well. Aimed at
graduate students, researchers in computer science and engineering,
communication networking, IoT, machine learning and pattern
recognition, this book Showcases the basics of both IoT and various
security paradigms supporting IoT, including Blockchain Explores
various machine learning-based IoT security solutions and
highlights the importance of IoT for industries and smart cities
Presents various competitive technologies of Blockchain, especially
concerned with IoT security Provides insights into the taxonomy of
challenges, issues, and research directions in IoT-based
applications Includes examples and illustrations to effectively
demonstrate the principles, algorithm, applications, and practices
of security in the IoT environment
Security and Privacy Issues in IoT Devices and Sensor Networks
investigates security breach issues in IoT and sensor networks,
exploring various solutions. The book follows a two-fold approach,
first focusing on the fundamentals and theory surrounding sensor
networks and IoT security. It then explores practical solutions
that can be implemented to develop security for these elements,
providing case studies to enhance understanding. Machine learning
techniques are covered, as well as other security paradigms, such
as cloud security and cryptocurrency technologies. The book
highlights how these techniques can be applied to identify attacks
and vulnerabilities, preserve privacy, and enhance data security.
This in-depth reference is ideal for industry professionals dealing
with WSN and IoT systems who want to enhance the security of these
systems. Additionally, researchers, material developers and
technology specialists dealing with the multifarious aspects of
data privacy and security enhancement will benefit from the book's
comprehensive information.
This book presents an overview of the general field of biomimetics
and biologically inspired, hierarchically structured surfaces. It
deals with various examples of biomimetics, which include surfaces
with roughness-induced super-phobicity/philicity, self-cleaning,
antifouling, low drag, low/high/reversible adhesion, drag reduction
in fluid flow, reversible adhesion, surfaces with high hardness and
mechanical toughness, vivid colors produced structurally without
color pigments, self-healing, water harvesting and purification,
and insect locomotion and stinging. The focus in the book is on the
Lotus Effect, Salvinia Effect, Rose Petal Effect,
Superoleophobic/philic Surfaces, Shark Skin and Skimmer Bird
Effect, Rice Leaf and Butterfly Wing Effect, Gecko Adhesion,
Insects Locomotion and Stinging, Self-healing Materials, Nacre,
Structural Coloration, and Nanofabrication. This is the first book
of this kind on bioinspired surfaces, and the third edition
represents a significant expansion from the previous two editions.
Wireless sensor networks have gained significant attention
industrially and academically due to their wide range of uses in
various fields. Because of their vast amount of applications,
wireless sensor networks are vulnerable to a variety of security
attacks. The protection of wireless sensor networks remains a
challenge due to their resource-constrained nature, which is why
researchers have begun applying several branches of artificial
intelligence to advance the security of these networks. Research is
needed on the development of security practices in wireless sensor
networks by using smart technologies. Deep Learning Strategies for
Security Enhancement in Wireless Sensor Networks provides emerging
research exploring the theoretical and practical advancements of
security protocols in wireless sensor networks using artificial
intelligence-based techniques. Featuring coverage on a broad range
of topics such as clustering protocols, intrusion detection, and
energy harvesting, this book is ideally designed for researchers,
developers, IT professionals, educators, policymakers,
practitioners, scientists, theorists, engineers, academicians, and
students seeking current research on integrating intelligent
techniques into sensor networks for more reliable security
practices.
This book presents an overview of arid desert conditions and
natural mechanisms for water harvesting from fog and condensation,
providing data on various bioinspired surfaces for water
collection. It discusses consumer to military and emergency
applications. It presents various designs for water harvesting
towers and projections for water collection, and describes
innovative approaches to bioinspired water desalination, water
purification and oil-water separation. Fresh water sustains human
life and is vital for health. However, water scarcity affects more
than 40% of the global population and is projected to rise,
especially in some of the world's most impoverished countries.
Additionally, water contamination is one of the most critical
environmental and natural resource concerns of the 21st century.
This book addresses these topics with a presentation of the
development of sustainable and environmentally friendly bioinspired
surfaces for water harvesting from fog and condensation, as well as
bioinspired oil-water separation techniques for removing oil
contaminants from oil-water mixtures and oil-water emulsions.
Intended for novices as well as experts in the field, the book
offers actionable insight for practitioners, solution seekers, and
the generally curious alike. It serves as an excellent accompanying
text for one-semester courses in biomimetics, water supply and
management, or environmental engineering.
Wireless sensor networks have gained significant attention
industrially and academically due to their wide range of uses in
various fields. Because of their vast amount of applications,
wireless sensor networks are vulnerable to a variety of security
attacks. The protection of wireless sensor networks remains a
challenge due to their resource-constrained nature, which is why
researchers have begun applying several branches of artificial
intelligence to advance the security of these networks. Research is
needed on the development of security practices in wireless sensor
networks by using smart technologies. Deep Learning Strategies for
Security Enhancement in Wireless Sensor Networks provides emerging
research exploring the theoretical and practical advancements of
security protocols in wireless sensor networks using artificial
intelligence-based techniques. Featuring coverage on a broad range
of topics such as clustering protocols, intrusion detection, and
energy harvesting, this book is ideally designed for researchers,
developers, IT professionals, educators, policymakers,
practitioners, scientists, theorists, engineers, academicians, and
students seeking current research on integrating intelligent
techniques into sensor networks for more reliable security
practices.
This textbook and comprehensive reference source and serves as a
timely, practical introduction to the principles of nanotribology
and nanomechanics. This 4th edition has been completely revised and
updated, concentrating on the key measurement techniques, their
applications, and theoretical modeling of interfaces. It provides
condensed knowledge of the field from the mechanics and materials
science perspectives to graduate students, research workers, and
practicing engineers.
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