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Books > Computing & IT
Many processes in nature arise from the interaction of periodic
phenomena with random phenomena. The results are processes that are
not periodic, but whose statistical functions are periodic
functions of time. These processes are called cyclostationary and
are an appropriate mathematical model for signals encountered in
many fields including communications, radar, sonar, telemetry,
acoustics, mechanics, econometrics, astronomy, and biology.
Cyclostationary Processes and Time Series: Theory, Applications,
and Generalizations addresses these issues and includes the
following key features.
As the progression of the internet continues, society is finding
easier, quicker ways of simplifying their needs with the use of
technology. With the growth of lightweight devices, such as smart
phones and wearable devices, highly configured hardware is in
heightened demand in order to process the large amounts of raw data
that are acquired. Connecting these devices to fog computing can
reduce bandwidth and latency for data transmission when associated
with centralized cloud solutions and uses machine learning
algorithms to handle large amounts of raw data. The risks that
accompany this advancing technology, however, have yet to be
explored. Architecture and Security Issues in Fog Computing
Applications is a pivotal reference source that provides vital
research on the architectural complications of fog processing and
focuses on security and privacy issues in intelligent fog
applications. While highlighting topics such as machine learning,
cyber-physical systems, and security applications, this publication
explores the architecture of intelligent fog applications enabled
with machine learning. This book is ideally designed for IT
specialists, software developers, security analysts, software
engineers, academicians, students, and researchers seeking current
research on network security and wireless systems.
Handbook of Medical Image Computing and Computer Assisted
Intervention presents important advanced methods and state-of-the
art research in medical image computing and computer assisted
intervention, providing a comprehensive reference on current
technical approaches and solutions, while also offering proven
algorithms for a variety of essential medical imaging applications.
This book is written primarily for university researchers, graduate
students and professional practitioners (assuming an elementary
level of linear algebra, probability and statistics, and signal
processing) working on medical image computing and computer
assisted intervention.
Pultrusion: State-of-the-Art Process Models with Applications,
Second Edition is a detailed guide to pultrusion, providing
methodical coverage of process models and computation simulation,
governing principles and science, and key challenges to help
readers enable process optimization and scale-up. This new edition
has been revised and expanded to include the latest advances,
state-of-the-art process models, and governing principles. The main
challenges in pultrusion, such as the process induced residual
stresses, shape distortions, thermal history, species conversion,
phase changes, impregnation of the reinforcements and pulling force
are described, with related examples are provided. Moreover,
strategies for having a reliable and optimized process using
probabilistic approaches and optimization algorithms are
summarized. Another focus of this book is on the thermo-chemical
and mechanical analyses of the pultrusion process for industrial
profiles.
Machine Learning for Subsurface Characterization develops and
applies neural networks, random forests, deep learning,
unsupervised learning, Bayesian frameworks, and clustering methods
for subsurface characterization. Machine learning (ML) focusses on
developing computational methods/algorithms that learn to recognize
patterns and quantify functional relationships by processing large
data sets, also referred to as the "big data." Deep learning (DL)
is a subset of machine learning that processes "big data" to
construct numerous layers of abstraction to accomplish the learning
task. DL methods do not require the manual step of
extracting/engineering features; however, it requires us to provide
large amounts of data along with high-performance computing to
obtain reliable results in a timely manner. This reference helps
the engineers, geophysicists, and geoscientists get familiar with
data science and analytics terminology relevant to subsurface
characterization and demonstrates the use of data-driven methods
for outlier detection, geomechanical/electromagnetic
characterization, image analysis, fluid saturation estimation, and
pore-scale characterization in the subsurface.
Advances in Imaging and Electron Physics, Volume 212, merges two
long-running serials, Advances in Electronics and Electron Physics
and Advances in Optical and Electron Microscopy. The series
features extended articles on the physics of electron devices
(especially semiconductor devices), particle optics at high and low
energies, microlithography, image science, digital image
processing, electromagnetic wave propagation, electron microscopy
and the computing methods used in all these domains.
For courses in Python programming. A clear and student-friendly
introduction to the fundamentals of Python In Starting Out with
Python, 5th Edition, Tony Gaddis' accessible coverage introduces
students to the basics of programming in a high-level language.
Python, an easy-to-learn and increasingly popular object-oriented
language, allows readers to become comfortable with the
fundamentals of programming without the troublesome syntax that can
be challenging for novices. With the knowledge acquired using
Python, students gain confidence in their skills and learn to
recognize the logic behind developing high-quality programs.
Starting Out with Python discusses control structures, functions,
and lists before classes. As with all Gaddis texts, clear and
easy-to-read code listings, concise and practical real-world
examples, focused explanations, and an abundance of exercises
appear in every chapter. Updates to the 5th Edition include a new
chapter on database programming, and new coverage of GUI
programming, string processing and formatting, and turtle graphics
topics.
The internet of things (IoT) has had a major impact on academic and
industrial fields. Applying these technologies to healthcare
systems reduces medical costs while enriching the patient-centric
approach to medicine, allowing for better overall healthcare
proficiency. However, usage of IoT in healthcare is still suffering
from significant challenges with respect to the cost and accuracy
of medical sensors, non-standard IoT system architectures, assorted
wearable devices, the huge volume of generated data, and
interoperability issues. Incorporating the Internet of Things in
Healthcare Applications and Wearable Devices is an essential
publication that examines existing challenges and provides
solutions for building smart healthcare systems with the latest
IoT-enabled technology and addresses how IoT improves the
proficiency of healthcare with respect to wireless sensor networks.
While highlighting topics including mobility management, sensor
integration, and data analytics, this book is ideally designed for
computer scientists, bioinformatics analysts, doctors, nurses,
hospital executives, medical students, IT specialists, software
developers, computer engineers, industry professionals,
academicians, researchers, and students seeking current research on
how these emerging wireless technologies improve efficiency within
the healthcare domain.
Technologies in today's society are rapidly developing at a pace
that is challenging to stay up to date with. As an increasing
number of global regions are implementing smart methods and
strategies for sustainable development, they are continually
searching for modern advancements within computer science, sensor
networks, software engineering, and smart technologies. A
compilation of research is needed that displays current
applications of computing methodologies in the progression of
global cities and how smart technologies are being utilized. Sensor
Network Methodologies for Smart Applications is a collection of
innovative research on the methods of intelligent systems and
technologies and their various applications within sustainable
development practices. While highlighting topics including machine
learning, network security, and optimization algorithms, this book
is ideally designed for researchers, scientists, developers,
programmers, engineers, educators, policymakers, geographers,
planners, and students seeking current research on smart
technologies and sensor networks.
Computational Modeling in Bioengineering and Bioinformatics
promotes complementary disciplines that hold great promise for the
advancement of research and development in complex medical and
biological systems, and in the environment, public health, drug
design, and so on. It provides a common platform by bridging these
two very important and complementary disciplines into an
interactive and attractive forum. Chapters cover biomechanics and
bioimaging, biomedical decision support system, data mining,
personalized diagnoses, bio-signal processing, protein structure
prediction, tissue and cell engineering, biomedical image
processing, analysis and visualization, high performance computing
and sports bioengineering. The book's chapters are the result of
many international projects in the area of bioengineering and
bioinformatics done at the Research and Development Center for
Bioengineering BioIRC and by the Faculty of Engineering at the
University of Kragujevac, Serbia.
Distributed systems intertwine with our everyday lives. The
benefits and current shortcomings of the underpinning technologies
are experienced by a wide range of people and their smart devices.
With the rise of large-scale IoT and similar distributed systems,
cloud bursting technologies, and partial outsourcing solutions,
private entities are encouraged to increase their efficiency and
offer unparalleled availability and reliability to their users.
Applying Integration Techniques and Methods in Distributed Systems
is a critical scholarly publication that defines the current state
of distributed systems, determines further goals, and presents
architectures and service frameworks to achieve highly integrated
distributed systems and presents solutions to integration and
efficient management challenges faced by current and future
distributed systems. Highlighting topics such as multimedia,
programming languages, and smart environments, this book is ideal
for system administrators, integrators, designers, developers,
researchers, and academicians.
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Security of Networks and Services in an All-Connected World
- 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2017, Zurich, Switzerland, July 10-13, 2017, Proceedings
(Hardcover)
Daphne Tuncer, Robert Koch, Remi Badonnel
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R1,453
Discovery Miles 14 530
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Ships in 10 - 15 working days
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Updates the premier textbook for students and librarians needing to
know the landscape of current databases and how to search them.
Librarians need to know of existing databases, and they must be
able to teach search capabilities and strategies to library users.
This practical guide introduces librarians to a broad spectrum of
fee-based and freely available databases and explains how to teach
them. The updated 6th edition of this well-regarded text covers new
databases on the market as well as updates to older databases. It
also explains underlying information structures and demonstrates
how to search most effectively. It introduces readers to several
recent changes, such as the move away from metadata-based indexing
to full text indexing by vendors covering newspaper content.
Business databases receive greater emphasis. As in the previous
edition, this book takes a real-world approach, covering topics
from basic and advanced search tools to online subject databases.
Each chapter includes a thorough discussion, a recap, concrete
examples, exercises, and points to consider, making it an ideal
text for courses in database searching as well as a trustworthy
professional resource. Helps librarians and students understand the
latest developments in library databases Looks not only at textual
databases but also numerical, image, video, and social media
resources Includes changes and trends in database functionality
since the 5th edition
Internet of things (IoT) is an emerging research field that is
rapidly becoming an important part of our everyday lives including
home automation, smart buildings, smart things, and more. This is
due to cheap, efficient, and wirelessly-enabled circuit boards that
are enabling the functions of remote sensing/actuating,
decentralization, autonomy, and other essential functions.
Moreover, with the advancements in embedded artificial
intelligence, these devices are becoming more self-aware and
autonomous, hence making decisions themselves. Current research is
devoted to the understanding of how decision support systems are
integrated into industrial IoT. Decision Support Systems and
Industrial IoT in Smart Grid, Factories, and Cities presents the
internet of things and its place during the technological
revolution, which is taking place now to bring us a better,
sustainable, automated, and safer world. This book also covers the
challenges being faced such as relations and implications of IoT
with existing communication and networking technologies;
applications like practical use-case scenarios from the real world
including smart cities, buildings, and grids; and topics such as
cyber security, user privacy, data ownership, and information
handling related to IoT networks. Additionally, this book focuses
on the future applications, trends, and potential benefits of this
new discipline. This book is essential for electrical engineers,
computer engineers, researchers in IoT, security, and smart cities,
along with practitioners, researchers, academicians, and students
interested in all aspects of industrial IoT and its applications.
Artificial intelligence serves as a catalyst for transformation in
the field of education. This shift in the educational paradigm has
a profound impact on the way we live, interact with each other, and
define our values. Thus, there is a need for an earnest inquiry
into the cultural repercussions of this phenomenon that extends
beyond superficial analyses of AI-based applications in education.
Cultural and Social Implications of Artificial Intelligence in
Education addresses the need for a scholarly exploration of the
cultural and social impacts of the rapid expansion of artificial
intelligence in the field of education including potential
consequences these impacts could have on culture, social relations,
and values. The content within this publication covers such topics
as ethics, critical thinking, and augmented intelligence and is
designed for educators, academicians, administrators, researchers,
and professionals.
As technology continues to advance in today's global market,
practitioners are targeting systems with significant levels of
applicability and variance. Instrumentation is a multidisciplinary
subject that provides a wide range of usage in several professional
fields, specifically engineering. Instrumentation plays a key role
in numerous daily processes and has seen substantial advancement in
recent years. It is of utmost importance for engineering
professionals to understand the modern developments of instruments
and how they affect everyday life. Advancements in Instrumentation
and Control in Applied System Applications is a collection of
innovative research on the methods and implementations of
instrumentation in real-world practices including communication,
transportation, and biomedical systems. While highlighting topics
including smart sensor design, medical image processing, and atrial
fibrillation, this book is ideally designed for researchers,
software engineers, technologists, developers, scientists,
designers, IT professionals, academicians, and post-graduate
students seeking current research on recent developments within
instrumentation systems and their applicability in daily life.
Blockchain technology allows value exchange without the need for a
central authority and ensures trust powered by its decentralized
architecture. As such, the growing use of the internet of things
(IoT) and the rise of artificial intelligence (AI) are to be
benefited immensely by this technology that can offer devices and
applications data security, decentralization, accountability, and
reliable authentication. Bringing together blockchain technology,
AI, and IoT can allow these tools to complement the strengths and
weaknesses of the others and make systems more efficient.
Multidisciplinary Functions of Blockchain Technology in AI and IoT
Applications deliberates upon prospects of blockchain technology
using AI and IoT devices in various application domains. This book
contains a comprehensive collection of chapters on machine
learning, IoT, and AI in areas that include security issues of IoT,
farming, supply chain management, predictive analytics, and natural
languages processing. While highlighting these areas, the book is
ideally intended for IT industry professionals, students of
computer science and software engineering, computer scientists,
practitioners, stakeholders, researchers, and academicians
interested in updated and advanced research surrounding the
functions of blockchain technology in AI and IoT applications
across diverse fields of research.
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