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Books > Computing & IT
Vehicular networks were first developed to ensure safe driving and
to extend the Internet to the road. However, we can now see that
the ability of vehicles to engage in cyber-activity may result in
tracking and privacy violations through the interception of
messages, which are frequently exchanged on road. This book serves
as a guide for students, developers and researchers who are
interested in vehicular networks and the associated security and
privacy issues. It facilitates the understanding of the
technologies used and their various types, highlighting the
importance of privacy and security issues and the direct impact
they have on the safety of their users. It also explains various
solutions and proposals to protect location and identity privacy,
including two anonymous authentication methods that preserve
identity privacy and a total of five schemes that preserve location
privacy in the vehicular ad hoc networks and the cloud-enabled
internet of vehicles, respectively.
Developments and Applications for ECG Signal Processing: Modeling,
Segmentation, and Pattern Recognition covers reliable techniques
for ECG signal processing and their potential to significantly
increase the applicability of ECG use in diagnosis. This book
details a wide range of challenges in the processes of acquisition,
preprocessing, segmentation, mathematical modelling and pattern
recognition in ECG signals, presenting practical and robust
solutions based on digital signal processing techniques. Users will
find this to be a comprehensive resource that contributes to
research on the automatic analysis of ECG signals and extends
resources relating to rapid and accurate diagnoses, particularly
for long-term signals. Chapters cover classical and modern features
surrounding f ECG signals, ECG signal acquisition systems,
techniques for noise suppression for ECG signal processing, a
delineation of the QRS complex, mathematical modelling of T- and
P-waves, and the automatic classification of heartbeats.
Smart Cities Cybersecurity and Privacy examines the latest research
developments and their outcomes for safe, secure, and trusting
smart cities residents. Smart cities improve the quality of life of
citizens in their energy and water usage, healthcare, environmental
impact, transportation needs, and many other critical city
services. Recent advances in hardware and software, have fueled the
rapid growth and deployment of ubiquitous connectivity between a
city's physical and cyber components. This connectivity however
also opens up many security vulnerabilities that must be mitigated.
Smart Cities Cybersecurity and Privacy helps researchers,
engineers, and city planners develop adaptive, robust, scalable,
and reliable security and privacy smart city applications that can
mitigate the negative implications associated with cyber-attacks
and potential privacy invasion. It provides insights into
networking and security architectures, designs, and models for the
secure operation of smart city applications.
Data-Driven Solutions to Transportation Problems explores the
fundamental principle of analyzing different types of
transportation-related data using methodologies such as the data
fusion model, the big data mining approach, computer vision-enabled
traffic sensing data analysis, and machine learning. The book
examines the state-of-the-art in data-enabled methodologies,
technologies and applications in transportation. Readers will learn
how to solve problems relating to energy efficiency under connected
vehicle environments, urban travel behavior, trajectory data-based
travel pattern identification, public transportation analysis,
traffic signal control efficiency, optimizing traffic networks
network, and much more.
As digital technology continues to revolutionize the world,
businesses are also evolving by adopting digital technologies such
as artificial intelligence, digital marketing, and analytical
methods into their daily practices. Due to this growing adoption,
further study on the potential solutions modern technology provides
to businesses is required to successfully apply it across
industries. AI-Driven Intelligent Models for Business Excellence
explores various artificial intelligence models and methods for
business applications and considers algorithmic approaches for
business excellence across numerous fields and applications.
Covering topics such as business analysis, deep learning, machine
learning, and analytical methods, this reference work is ideal for
managers, business owners, computer scientists, industry
professionals, researchers, scholars, practitioners, academicians,
instructors, and students.
Because it continually implements entrepreneurial creativity and
innovative business models, the economic landscape is ever-changing
in today's globalized world. As consumers become more willing to
accept new strategic trends, this has led to the emergence of
disruptive technologies. Since this equipment has an insufficient
amount of information and high risks, it is necessary to assess the
potential of disruptive technologies in the commercial environment.
Impact of Disruptive Technologies on the Sharing Economy provides
emerging research exploring the theoretical and practical aspects
of disruptive technologies and knowledge-based entrepreneurial
efforts and applications within management, business, and
economics. Featuring coverage on a broad range of topics such as
consumer ethics, corporate governance, and insurance issues, this
book is ideally designed for IT specialists, IT consultants,
software developers, computer engineers, managers, executives,
managing directors, students, professors, scientists,
professionals, industry practitioners, academicians, and
researchers seeking current research on the consequences of
disruptive technologies.
Recent years have witnessed the rise of analysis of real-world
massive and complex phenomena in graphs; to efficiently solve these
large-scale graph problems, it is necessary to exploit high
performance computing (HPC), which accelerates the innovation
process for discovery and invention of new products and procedures
in network science. Creativity in Load-Balance Schemes for
Multi/Many-Core Heterogeneous Graph Computing: Emerging Research
and Opportunities is a critical scholarly resource that examines
trends, challenges, and collaborative processes in emerging fields
within complex network analysis. Featuring coverage on a broad
range of topics such as high-performance computing, big data,
network science, and accelerated network traversal, this book is
geared towards data analysts, researchers, students in information
communication technology (ICT), program developers, and academics.
Cyber-attacks are rapidly becoming one of the most prevalent issues
globally, and as they continue to escalate, it is imperative to
explore new approaches and technologies that help ensure the
security of the online community. Beyond cyber-attacks, personal
information is now routinely and exclusively housed in cloud-based
systems. The rising use of information technologies requires
stronger information security and system procedures to reduce the
risk of information breaches. Advanced Methodologies and
Technologies in System Security, Information Privacy, and Forensics
presents emerging research and methods on preventing information
breaches and further securing system networks. While highlighting
the rising concerns in information privacy and system security,
this book explores the cutting-edge methods combatting digital
risks and cyber threats. This book is an important resource for
information technology professionals, cybercrime researchers,
network analysts, government agencies, business professionals,
academicians, and practitioners seeking the most up-to-date
information and methodologies on cybercrime, digital terrorism,
network security, and information technology ethics.
Multimodal Behavioral Analysis in the Wild: Advances and Challenges
presents the state-of- the-art in behavioral signal processing
using different data modalities, with a special focus on
identifying the strengths and limitations of current technologies.
The book focuses on audio and video modalities, while also
emphasizing emerging modalities, such as accelerometer or proximity
data. It covers tasks at different levels of complexity, from low
level (speaker detection, sensorimotor links, source separation),
through middle level (conversational group detection, addresser and
addressee identification), and high level (personality and emotion
recognition), providing insights on how to exploit inter-level and
intra-level links. This is a valuable resource on the state-of-the-
art and future research challenges of multi-modal behavioral
analysis in the wild. It is suitable for researchers and graduate
students in the fields of computer vision, audio processing,
pattern recognition, machine learning and social signal processing.
Because trainees need to learn about the underlying technologies to
use automation safely and efficiently, the development of automated
aviation systems training is a growing challenge. Task analysis has
been singled out as the basis of the training, but it can be more
time-consuming than traditional development techniques. Cases on
Modern Computer Systems in Aviation is an essential reference
source that covers new information technology use in aviation
systems to streamline the cybersecurity, decision-making, planning,
and design processes within the aviation industry. Featuring
coverage on a broad range of topics such as computer systems in
aviation, artificial intelligence, software-defined networking
(SDN), air navigation systems, decision support systems (DSS), and
more, this publication is ideally designed for aviation specialists
and industry professionals, technicians, practitioners,
researchers, and academicians seeking current research on modern
modeling approaches to streamline management in aviation.
This textbook guides readers through their first steps into the
challenging world of mimicking human vision with computational
tools and techniques pertaining to the field of image processing
and analysis. While today's theoretical and applied processing and
analysis of images meet with challenging and complex problems, this
primer is confined to a much simpler, albeit critical, collection
of image-to-image transformations, including image normalisation,
enhancement, and filtering.It serves as an introduction to
beginners, a refresher for undergraduate and graduate students, as
well as engineers and computer scientists confronted with a problem
to solve in computer vision. The book covers basic image
processing/computer vision pipeline techniques, which are widely
used in today's computer vision, computer graphics, and image
processing, giving the readers enough knowledge to successfully
tackle a wide range of applied problems.
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