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Books > Computing & IT > General theory of computing
Everything you know about the future is wrong. Presumptive Design:
Design Provocations for Innovation is for people "inventing" the
future: future products, services, companies, strategies and
policies. It introduces a design-research method that shortens time
to insights from months to days. Presumptive Design is a
fundamentally agile approach to identifying your audiences' key
needs. Offering rapidly crafted artifacts, your teams collaborate
with your customers to identify preferred and profitable elements
of your desired outcome. Presumptive Design focuses on your users'
problem space, informing your business strategy, your project's
early stage definition, and your innovation pipeline. Comprising
discussions of design theory with case studies and how-to's, the
book offers business leadership, management and innovators the
benefits of design thinking and user experience in the context of
early stage problem definition. Presumptive Design is an advanced
technique and quick to use: within days of reading this book, your
research and design teams can apply the approach to capture a
risk-reduced view of your future.
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Due to the scale and complexity of data sets currently being
collected in areas such as health, transportation, environmental
science, engineering, information technology, business and finance,
modern quantitative analysts are seeking improved and appropriate
computational and statistical methods to explore, model and draw
inferences from big data. This book aims to introduce suitable
approaches for such endeavours, providing applications and case
studies for the purpose of demonstration. Computational and
Statistical Methods for Analysing Big Data with Applications starts
with an overview of the era of big data. It then goes onto explain
the computational and statistical methods which have been commonly
applied in the big data revolution. For each of these methods, an
example is provided as a guide to its application. Five case
studies are presented next, focusing on computer vision with
massive training data, spatial data analysis, advanced experimental
design methods for big data, big data in clinical medicine, and
analysing data collected from mobile devices, respectively. The
book concludes with some final thoughts and suggested areas for
future research in big data.
MESH ist ein mathematisches Video ber vielfl chige Netzwerke und
ihre Rolle in der Geometrie, der Numerik und der Computergraphik.
Der unter Anwendung der neuesten Technologie vollst ndig
computergenierte Film spannt einen Bogen von der antiken
griechischen Mathematik zum Gebiet der heutigen geometrischen
Modellierung. MESH hat zahlreiche wissenschaftliche Preise weltweit
gewonnen. Die Autoren sind Konrad Polthier, ein Professor der
Mathematik, und Beau Janzen, ein professioneller Filmdirektor.
Der Film ist ein ausgezeichnetes Lehrmittel f r Kurse in
Geometrie, Visualisierung, wissenschaftlichem Rechnen und
geometrischer Modellierung an Universit ten, Zentren f r
wissenschaftliches Rechnen, kann jedoch auch an Schulen genutzt
werden.
Fog computing is quickly increasing its applications and uses to
the next level. As it continues to grow, different types of
virtualization technologies can thrust this branch of computing
further into mainstream use. The Handbook of Research on Cloud and
Fog Computing Infrastructures for Data Science is a key reference
volume on the latest research on the role of next-generation
systems and devices that are capable of self-learning and how those
devices will impact society. Featuring wide-ranging coverage across
a variety of relevant views and themes such as cognitive analytics,
data mining algorithms, and the internet of things, this
publication is ideally designed for programmers, IT professionals,
students, researchers, and engineers looking for innovative
research on software-defined cloud infrastructures and
domain-specific analytics.
From the chaos of the early DARPA, ARPANET and NSF-funded NSFNET
has emerged a globe-spanning communications facility we today call
simply "The Internet." It has become so commonplace and so taken
for granted that Wired News has decreed that writers should no
longer capitalize it. This tale is not singularly focused on the
past. It tells not only how we got here, but where we think the
Commercial Internet must go. For all its greatness, today's
Internet has serious shortcomings. Theft of personal data, identity
theft, online scams, and advertising fraud run rampant, with online
dollars diverted to organized crime. Insecure systems, poor
security practices and an attitude of secrecy and reluctance to
acknowledge failings inhibit real solutions. We propose a way
forward, a networking future that is bright, optimistic, and
secure.
Communities of Computing is the first book-length history of the
Association for Computing Machinery (ACM), founded in 1947 and with
a membership today of 100,000 worldwide. It profiles ACM's notable
SIGs, active chapters, and individual members, setting ACM's
history into a rich social and political context. The book's 12
core chapters are organized into three thematic sections. "Defining
the Discipline" examines the 1960s and 1970s when the field of
computer science was taking form at the National Science
Foundation, Stanford University, and through ACM's notable efforts
in education and curriculum standards. "Broadening the Profession"
looks outward into the wider society as ACM engaged with social and
political issues - and as members struggled with balancing a focus
on scientific issues and awareness of the wider world. Chapters
examine the social turbulence surrounding the Vietnam War, debates
about the women's movement, efforts for computing and community
education, and international issues including professionalization
and the Cold War. "Expanding Research Frontiers" profiles three
areas of research activity where ACM members and ACM itself shaped
notable advances in computing, including computer graphics,
computer security, and hypertext. Featuring insightful profiles of
notable ACM leaders, such as Edmund Berkeley, George Forsythe, Jean
Sammet, Peter Denning, and Kelly Gotlieb, and honest assessments of
controversial episodes, the volume deals with compelling and
complex issues involving ACM and computing. It is not a narrow
organizational history of ACM committees and SIGS, although much
information about them is given. All chapters are original works of
research. Many chapters draw on archival records of ACM's
headquarters, ACM SIGs, and ACM leaders. This volume makes a
permanent contribution to documenting the history of ACM and
understanding its central role in the history of computing.
Combinatorial optimization is a multidisciplinary scientific area,
lying in the interface of three major scientific domains:
mathematics, theoretical computer science and management. The three
volumes of the Combinatorial Optimization series aim to cover a
wide range of topics in this area. These topics also deal with
fundamental notions and approaches as with several classical
applications of combinatorial optimization. Concepts of
Combinatorial Optimization, is divided into three parts: - On the
complexity of combinatorial optimization problems, presenting
basics about worst-case and randomized complexity; - Classical
solution methods, presenting the two most-known methods for solving
hard combinatorial optimization problems, that are Branch-and-Bound
and Dynamic Programming; - Elements from mathematical programming,
presenting fundamentals from mathematical programming based methods
that are in the heart of Operations Research since the origins of
this field.
Smart healthcare technology improves the diagnosis and treatment of
patients, provides easy access to medical facilities and emergency
care services, and minimizes the gaps between patients and
healthcare providers. While clinical data protection remains a
major challenge, innovations such as the internet of medical things
and smart healthcare systems increase the efficiency and quality of
patient care. Healthcare technology can only become faster, more
profitable, and more flexible as additional research on its
advancements is conducted and collected. Smart Medical Data Sensing
and IoT Systems Design in Healthcare is an essential reference
source that focuses on robust and easy solutions for the delivery
of medical information from patients to doctors and explores
low-cost, high-performance, highly efficient, deployable IoT system
options in healthcare systems. Featuring research on topics such as
hospital management systems, electronic health records, and
bio-signals, this book is ideally designed for technologists,
engineers, scientists, clinicians, biomedical engineers, hospital
directors, doctors, nurses, healthcare practitioners, telemedical
agents, students, and academicians seeking coverage on the latest
technological developments in medical data analysis and
connectivity.
High-performance computing (HPC) describes the use of connected
computing units to perform complex tasks. It relies on
parallelization techniques and algorithms to synchronize these
disparate units in order to perform faster than a single processor
could, alone. Used in industries from medicine and research to
military and higher education, this method of computing allows for
users to complete complex data-intensive tasks. This field has
undergone many changes over the past decade, and will continue to
grow in popularity in the coming years. Innovative Research
Applications in Next-Generation High Performance Computing aims to
address the future challenges, advances, and applications of HPC
and related technologies. As the need for such processors
increases, so does the importance of developing new ways to
optimize the performance of these supercomputers. This timely
publication provides comprehensive information for researchers,
students in ICT, program developers, military and government
organizations, and business professionals.
Containing selected papers on the fundamentals and applications of
Complexity Science, this multi-disciplinary book presents new
approaches for resolving complex issues that cannot be resolved
using conventional mathematical or software models. Complex Systems
problems can occur in a variety of areas such as physical sciences
and engineering, the economy, the environment, humanities and
social and political sciences. Complexity Science problems, the
science of open systems consisting of large numbers of diverse
components engaged in rich interaction, can occur in a variety of
areas such as physical sciences and engineering, the economy, the
environment, humanities and social and political sciences. The
global behaviour of these systems emerges from the interaction of
constituent components and is unpredictable but not random. The key
attribute of Complex Systems is the ability to self-organise and
adapt to unpredictable changes in their environment. Renown
complexity thinkers and practitioners as well as those who are new
to the area of complexity will find interest in this book.
With the growing use of new technologies and artificial
intelligence (AI) applications, intelligent systems can be used to
manage large amounts of existing data in healthcare domains. Having
more intelligent methods for accessing data allows medical
professionals to more efficiently identify the best medical
practices and more concrete solutions for diagnosing and treating a
multitude of rare diseases. Intelligent Systems for Healthcare
Management and Delivery provides relevant and advanced
methodological, technological, and scientific approaches related to
the application of sophisticated exploitation of AI, as well as
providing insight into the technologies and intelligent
applications that have received growing attention in recent years
such as medical imaging, EMR systems, and drug development
assistance. This publication fosters a scientific debate for new
healthcare intelligent systems and sophisticated approaches for
enhanced healthcare services and is ideally designed for medical
professionals, hospital staff, rehabilitation specialists, medical
educators, and researchers.
While doctors and physicians are more than capable of detecting
diseases of the brain, the most agile human mind cannot compete
with the processing power of modern technology. Utilizing
algorithmic systems in healthcare in this way may provide a way to
treat neurological diseases before they happen. Early Detection of
Neurological Disorders Using Machine Learning Systems provides
innovative insights into implementing smart systems to detect
neurological diseases at a faster rate than by normal means. The
topics included in this book are artificial intelligence, data
analysis, and biomedical informatics. It is designed for
clinicians, doctors, neurologists, physiotherapists,
neurorehabilitation specialists, scholars, academics, and students
interested in topics centered on biomedical engineering,
bio-electronics, medical electronics, physiology, neurosciences,
life sciences, and physics.
Text analysis tools aid in extracting meaning from digital content.
As digital text becomes more and more complex, new techniques are
needed to understand conceptual structure. Concept Parsing
Algorithms (CPA) for Textual Analysis and Discovery: Emerging
Research and Opportunities provides an innovative perspective on
the application of algorithmic tools to study unstructured digital
content. Highlighting pertinent topics such as semantic tools,
semiotic systems, and pattern detection, this book is ideally
designed for researchers, academics, students, professionals, and
practitioners interested in developing a better understanding of
digital text analysis.
RPG Programming at its best! Discover A Book That Tells You What
You Should Do and How! Instead of jumping right into the
instructions, this book will provide you first with all the
necessary concepts that you need to learn in order to make the
learning process a whole lot easier. This way, you're sure not to
get lost in confusion once you get to the more complex lessons
provided in the latter chapters. Graphs and flowcharts, as well as
sample codes, are provided for a more visual approach on your
learning You will also learn the designs and forms of Parallel, and
what's more convenient than getting to know both sides! Want to
know More? Buy Now
Modern computing systems preserve all information in intricate
binary codes. The evolution of systems and technologies that aid in
this preservation process must be continually assessed to ensure
that they are keeping up with the demands of society. Formation
Methods, Models, and Hardware Implementation of Pseudorandom Number
Generators: Emerging Research and Opportunities is a crucial
scholarly resource that examines the current methodologies used in
number generator construction, and how they pertain to the overall
advancement of contemporary computer systems. Featuring coverage on
relevant topics such as cellular automata theory, inhomogeneous
cells, and sequence generators, this publication is ideal for
software engineers, computer programmers, academicians, students,
and researchers that are interested in staying abreast of
innovative trends within the computer engineering field.
Rails Programming Professional Made Easy: Expert Rails Programming
Success In A Day For Any Computer User! Want to become an expert in
rails programming but find all the technical jargon challenging?
Need a reference guide that walks you through step by step and
skips all the challenging technical intimidating data In a hurry
and need to learn fast? Want to know where to start to begin
creating your first project? Step by step details on creating all
steps of articles, data and forms! Take the correct step and hit
click download now to begin your success in learning Rails in a
single day! Purchase now!
Since its first volume in 1960, Advances in Computers has presented
detailed coverage of innovations in computer hardware, software,
theory, design, and applications. It has also provided contributors
with a medium in which they can explore their subjects in greater
depth and breadth than journal articles usually allow. As a result,
many articles have become standard references that continue to be
of significant, lasting value in this rapidly expanding field.
Due to its versatility and accessibility, individuals all around
the world routinely use various forms of technology to interact
with one another. Over the years, the design and development of
technologies and interfaces have increasingly aimed to improve the
human-computer interactive experience in unimaginable ways. The
Handbook of Research on Human-Computer Interfaces and New Modes of
Interactivity is a collection of innovative research on the methods
and applications of interactive technologies in the modern age.
Highlighting topics including digital environments, sensory
applications, and transmedia applications, this book is ideally
designed for academicians, researchers, HCI developers,
programmers, IT consultants, and media specialists seeking current
research on the design, application, and advancement of different
media technologies and interfaces that can support interaction
across a wide range of users.
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