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Books > Computing & IT > General theory of computing > Systems analysis & design
This unique text/reference provides an overview of crossbar-based
interconnection networks, offering novel perspectives on these
important components of high-performance, parallel-processor
systems. A particular focus is placed on solutions to the blocking
and scalability problems. Topics and features: introduces the
fundamental concepts in interconnection networks in multi-processor
systems, including issues of blocking, scalability, and crossbar
networks; presents a classification of interconnection networks,
and provides information on recognizing each of the networks;
examines the challenges of blocking and scalability, and analyzes
the different solutions that have been proposed; reviews a variety
of different approaches to improve fault tolerance in multistage
interconnection networks; discusses the scalable crossbar network,
which is a non-blocking interconnection network that uses
small-sized crossbar switches as switching elements. This
invaluable work will be of great benefit to students, researchers
and practitioners interested in computer networks, parallel
processing and reliability engineering. The text is also essential
reading for course modules on interconnection network design and
reliability.
This book serves not only as an introduction, but also as an
advanced text and reference source in the field of deterministic
optimal control systems governed by ordinary differential
equations. It also includes an introduction to the classical
calculus of variations.
An important feature of the book is the inclusion of a large number
of examples, in which the theory is applied to a wide variety of
economics problems. The presentation of simple models helps
illuminate pertinent qualitative and analytic points, useful when
confronted with a more complex reality. These models cover:
economic growth in both open and closed economies, exploitation of
(non-) renewable resources, pollution control, behaviour of firms,
and differential games. A great emphasis on precision pervades the
book, setting it apart from the bulk of literature in this area.
The rigorous techniques presented should help the reader avoid
errors which often recur in the application of control theory
within economics.
Most books on linear systems for undergraduates cover discrete and
continuous systems material together in a single volume. Such books
also include topics in discrete and continuous filter design, and
discrete and continuous state-space representations. However, with
this magnitude of coverage, the student typically gets a little of
both discrete and continuous linear systems but not enough of
either. Minimal coverage of discrete linear systems material is
acceptable provided that there is ample coverage of continuous
linear systems. On the other hand, minimal coverage of continuous
linear systems does no justice to either of the two areas. Under
the best of circumstances, a student needs a solid background in
both these subjects. Continuous linear systems and discrete linear
systems are broad topics and each merit a single book devoted to
the respective subject matter. The objective of this set of two
volumes is to present the needed material for each at the
undergraduate level, and present the required material using MATLAB
(R) (The MathWorks Inc.).
This book introduces a novel framework for accurately modeling the
errors in nanoscale CMOS technology and developing a smooth tool
flow at high-level design abstractions to estimate and mitigate the
effects of errors. The book presents novel techniques for
high-level fault simulation and reliability estimation as well as
architecture-level and system-level fault tolerant designs. It also
presents a survey of state-of-the-art problems and solutions,
offering insights into reliability issues in digital design and
their cross-layer countermeasures.
Systems Analysis and Design: An Object-Oriented Approach with UML,
Sixth Edition helps students develop the core skills required to
plan, design, analyze, and implement information systems. Offering
a practical hands-on approach to the subject, this textbook is
designed to keep students focused on doing SAD, rather than simply
reading about it. Each chapter describes a specific part of the SAD
process, providing clear instructions, a detailed example, and
practice exercises. Students are guided through the topics in the
same order as professional analysts working on a typical real-world
project. Now in its sixth edition, this edition has been carefully
updated to reflect current methods and practices in SAD and prepare
students for their future roles as systems analysts. Every
essential area of systems analysis and design is clearly and
thoroughly covered, from project management, to analysis and design
modeling, to construction, installation, and operations. The
textbook includes access to a range of teaching and learning
resources, and a running case study of a fictitious healthcare
company that shows students how SAD concepts are applied in
real-life scenarios.
Collected together in this book are ten state-of-the-art expository
articles on the most important topics in optimization, written by
leading experts in the field. The book therefore provides a primary
reference for those performing research in some area of
optimization or for those who have some basic knowledge of
optimization techniques but wish to learn the most up-to-date and
efficient algorithms for particular classes of problems. The first
sections of each chapter are expository and therefore accessible to
master's level graduate students. However, the chapters also
contain advanced material on current topics of interest to
researchers. For instance there are chapters which describe the
polynomial-time linear programming algorithms of Khachian and
Karmarkar and the techniques used to solve combinatorial and
integer programming problems, an order of magnitude larger than was
possible just a few years ago. Overall a comprehensive yet lively
and up-to-date discussion of the state-of-the-art in optimization
is presented in this book.
System on chips designs have evolved from fairly simple unicore,
single memory designs to complex heterogeneous multicore SoC
architectures consisting of a large number of IP blocks on the same
silicon. To meet high computational demands posed by latest
consumer electronic devices, most current systems are based on such
paradigm, which represents a real revolution in many aspects in
computing. The attraction of multicore processing for power
reduction is compelling. By splitting a set of tasks among multiple
processor cores, the operating frequency necessary for each core
can be reduced, allowing to reduce the voltage on each core.
Because dynamic power is proportional to the frequency and to the
square of the voltage, we get a big gain, even though we may have
more cores running. As more and more cores are integrated into
these designs to share the ever increasing processing load, the
main challenges lie in efficient memory hierarchy, scalable system
interconnect, new programming paradigms, and efficient integration
methodology for connecting such heterogeneous cores into a single
system capable of leveraging their individual flexibility. Current
design methods tend toward mixed HW/SW co-designs targeting
multicore systems on-chip for specific applications. To decide on
the lowest cost mix of cores, designers must iteratively map the
device's functionality to a particular HW/SW partition and target
architectures. In addition, to connect the heterogeneous cores, the
architecture requires high performance complex communication
architectures and efficient communication protocols, such as
hierarchical bus, point-to-point connection, or Network-on-Chip.
Software development also becomes far more complex due to the
difficulties in breaking a single processing task into multiple
parts that can be processed separately and then reassembled later.
This reflects the fact that certain processor jobs cannot be easily
parallelized to run concurrently on multiple processing cores and
that load balancing between processing cores - especially
heterogeneous cores - is very difficult.
Information Systems Development: Business Systems and Services:
Modeling and Development, is the collected proceedings of the 19th
International Conference on Information Systems Development held in
Prague, Czech Republic, August 25 - 27, 2010. It follows in the
tradition of previous conferences in the series in exploring the
connections between industry, research and education. These
proceedings represent ongoing reflections within the academic
community on established information systems topics and emerging
concepts, approaches and ideas. It is hoped that the papers herein
contribute towards disseminating research and improving practice.
"The Supply of ConceptS" achieves a major breakthrough in the
general theory of systems. It unfolds a theory of everything that
steps beyond Physics' theory of the same name. The author unites
all knowledge by including not only the natural but also the
philosophical and theological universes of discourse. The general
systems model presented here resembles an organizational flow chart
that represents conceptual positions within any type of system and
shows how the parts are connected hierarchically for communication
and control. Analyzing many types of systems in various branches of
learned discourse, the model demonstrates how any system type
manages to maintain itself true to type. The concepts thus
generated form a network that serves as a storehouse for the supply
of concepts in learned discourse. Partial to the use of analogies,
Irving Silverman presents his thesis in an easy-to-read style,
explaining a way of thinking that he has found useful. This book
will be of particular interest to the specialist in systems theory,
philosophy, linguistics, and the social sciences.
Irving Silverman applies his general systems model to 22 system
types and presents rationales for these analyses. He provides the
reader with a method, and a way to apply that method; a theory of
knowledge derived from the method; and a practical outlook based on
a comprehensive approach. Chapters include: Minding the Storehouse;
Standing Together; The Cognitive Contract; The Ecological Contract;
The Social Contract; The Semantic Terrain.
Applying TQM to systems engineering can reduce costs while
simultaneously improving product quality. This guide to proactive
systems engineering shows how to develop and optimize a practical
approach, while highlighting the pitfalls and potentials involved.
"The healthcare industry in the United States consumes roughly 20%
of the gross national product per year. This huge expenditure not
only represents a large portion of the country's collective
interests, but also an enormous amount of medical information.
Information intensive healthcare enterprises have unique issues
related to the collection, disbursement, and integration of various
data within the healthcare system.Information Systems and
Healthcare Enterprises provides insight on the challenges arising
from the adaptation of information systems to the healthcare
industry, including development, design, usage, adoption,
expansion, and compliance with industry regulations. Highlighting
the role of healthcare information systems in fighting healthcare
fraud and the role of information technology and vendors, this book
will be a highly valued addition to academic, medical, and health
science libraries."
The variety and abundance of qualitative characteristics of
agricultural products have been the main reasons for the
development of different types of non-destructive methods (NDTs).
Quality control of these products is one of the most important
tasks in manufacturing processes. The use of control and automation
has become more widespread, and new approaches provide
opportunities for production competition through new technologies.
Applications of Image Processing and Soft Computing Systems in
Agriculture examines applications of artificial intelligence in
agriculture and the main uses of shape analysis on agricultural
products such as relationships between form and genetics,
adaptation, product characteristics, and product sorting.
Additionally, it provides insights developed through computer
vision techniques. Highlighting such topics as deep learning,
agribusiness, and augmented reality, it is designed for
academicians, researchers, agricultural practitioners, and industry
professionals.
This book surveys the recent development of maintenance theory,
advanced maintenance techniques with shock and damage models, and
their applications in computer systems dealing with efficiency
problems. It also equips readers to handle multiple maintenance,
informs maintenance policies, and explores comparative methods for
several different kinds of maintenance. Further, it discusses shock
and damage modelling as an important failure mechanism for
reliability systems, and extensively explores the degradation
processes, failure modes, and maintenance characteristics of
modern, highly complex systems, especially for some key mechanical
systems designed for specific tasks.
The main objective of pervasive computing systems is to create
environments where computers become invisible by being seamlessly
integrated and connected into our everyday environment, where such
embedded computers can then provide inf- mation and exercise
intelligent control when needed, but without being obtrusive.
Pervasive computing and intelligent multimedia technologies are
becoming incre- ingly important to the modern way of living.
However, many of their potential applications have not yet been
fully realized. Intelligent multimedia allows dynamic selection,
composition and presentation of the most appropriate multimedia
content based on user preferences. A variety of applications of
pervasive computing and - telligent multimedia are being developed
for all walks of personal and business life. Pervasive computing
(often synonymously called ubiquitous computing, palpable computing
or ambient intelligence) is an emerging ?eld of research that
brings in revolutionary paradigms for computing models in the 21st
century. Pervasive c- puting is the trend towards increasingly
ubiquitous connected computing devices in the environment, a trend
being brought about by a convergence of advanced el- tronic - and
particularly, wireless - technologies and the Internet. Recent
advances in pervasive computers, networks, telecommunications and
information technology, along with the proliferation of multimedia
mobile devices - such as laptops, iPods, personal digital
assistants (PDAs) and cellular telephones - have further stimulated
the development of intelligent pervasive multimedia applications.
These key te-
nologiesarecreatingamultimediarevolutionthatwillhavesigni?cantimpactacross
a wide spectrum of consumer, business, healthcare and governmental
domains.
Whether you re new to systems analysis or have been there, done
that and seen it all but especially if you want to ponder the
significance of information systems analysis in the scheme of the
universe, this book is for you. The author brings a unique
perspective to the problems of computer system analysis
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