Network Management: Accounting and Performance Strategies (c) by Cisco
Press
The type of the release is: eBook
In the CHM format with ISBN: 1587051982 and Pub Date: June 30, 2007
The size of the release is: 04 disks x 2.88mb
And released on: 02/13/2008
Network Management: Accounting and Performance Strategies imparts a deep
understanding of Cisco IOS® embedded management for monitoring and
optimizing performance, together with proven best strategies for both
accounting and performance management.
Benoit Claise and Ralf Wolter begin by introducing the role of
accounting and performance management in today's large-scale data and
voice networks. They present widely accepted performance standards and
definitions, along with today's best practice methodologies for data
collection.
Next, they turn to Cisco devices and the Cisco IOS Software,
illuminating embedded management and device instrumentation features
that enable you to thoroughly characterize performance, plan network
enhancements, and anticipate potential problems and prevent them.
Network standards, technologies, and Cisco solutions covered in depth
include Simple Network Management Protocol (SNMP) and Management
Information Bases (MIB), Remote Monitoring (RMON), IP accounting,
NetFlow, BGP policy accounting, AAA Accounting, Network Based
Application Recognition (NBAR), and IP SLA (formerly known as SAA). For
each, the authors present practical examples and hands-on techniques.
The book concludes with chapter-length scenarios that walk you through
accounting and performance management for five different applications:
data network monitoring, capacity planning, billing, security, and voice
network performance.
Network Management: Accounting and Performance Strategies will be
indispensable to every professional concerned with network performance,
effectiveness, or profitability, especially NMS/OSS architects, network
and service designers, network administrators, and anyone responsible
for network accounting or billing.
http://www.amazon.com/exec/obidos/tg/detail/-/1587051982/
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Third generation book that builds on two highly successful earlier editions and the author’s
twenty years of academic and industrial experience in image processing. Reflects new trends;
document image compression and data compression standards.
From the Back Cover
Digital Image Processing has been the leading textbook in its field for more than 20 years. As
was the case with the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992 edition by
Gonzalez and Woods, the present edition was prepared with students and instructors in mind.
771e material is timely, highly readable, and illustrated with numerous examples of practical
significance. All mainstream areas of image processing are covered, including a totally revised
introduction and discussion of image fundamentals, image enhancement in the spatial and
frequency domains, restoration, color image processing, wavelets, image compression,
morphology, segmentation, and image description. Coverage concludes with a discussion of the
fundamentals of object recognition.
Although the book is completely self-contained, a Companion Website (see inside front cover)
provides additional support in the form of review material, answers to selected problems,
laboratory project suggestions. and a score of other features. A supplementary instructor’s
manual is available to instructors who have adopted the book for classroom use.
New Features
* New chapters on wavelets, image morphology, and color image processing.
* More than 500 new images and over 200 new line drawings and tables.
* A revision and update of all chapters, including topics such as segmentation by watersheds.
* Numerous new examples with processed images of higher resolution.
* A reorganization that allows the reader to get to the material on actual image processing much
sooner than before.
* Updated image compression standards and a new section on compression using wavelets.
* A more intuitive development of traditional topics such as image transforms and image
restoration.
* Updated bibliography.
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Digital Image Processing Using MATLAB
Summary:Solutions to problems in the field of digital image processing generally require
extensive experimental work involving software simulation and testing with large sets of sample
images. Although algorithm development typically is based on theoretical underpinnings, the
actual implementation of these algorithms almost always requires parameter estimation and,
frequently, algorithm revision and comparison of candidate solutions. Thus, selection of a
flexible, comprehensive, and well-documented software development environment is a key
factor that has important implications in the cost, development time, and portability of image
processing solutions. In spite of its importance, surprisingly little has been written on this aspect
of the field in the form of textbook material dealing with both theoretical principles and software
implementation of digital image processing concepts. This book was written for just this purpose.
Its main objective is to provide a foundation for implementing image processing algorithms
using modern software tools. A complementary objective was to prepare a book that is
self-contained and easily readable by individuals with a basic background in digital image
processing, mathematical analysis, and computer programming, all at a level typical of that found
in a junior/senior curriculum in a technical discipline. Rudimentary knowledge of MATLAB also
is desirable. To achieve these objectives, we felt that two key ingredients were needed. The first
was to select image processing material that is representative of material covered in a formal
course of instruction in this field. The second was to select software tools that are well supported
and documented, and which have a wide range of applications in the "real" world. To meet the
first objective, most of the theoretical concepts in the following chapters were selected from
Digital Image Processing by Gonzalez and Woods, which has been the choice introductory
textbook used by educators all over the world for over two decades. The software tools selected
are from the MATLAB Image Processing Toolbox (IPT), which similarly occupies a position of
eminence in both education and industrial applications. A basic strategy followed in the
preparation of the book was to provide a seamless integration of well-established theoretical
concepts and their implementation using state-of-the-art software tools. The book is organized
along the same lines as Digital Image Processing. In this way, the reader has easy access to a
more detailed treatment of all the image processing concepts discussed here, as well as an
up-to-date set of references for further reading. Following this approach made it possible to
present theoretical material in a succinct manner and thus we were able to maintain a focus on
the software implementation aspects of image processing problem solutions. Because it works in
the MATLAB computing environment, the Image Processing Toolbox offers some significant
advantages, not only f in the breadth of its computational tools, but also because it is supported
under most operating systems in use today. A unique feature of this book is its emphasis on
showing how to develop new code to enhance existing MATLAB and IPT functionality This is an
important feature in an area such as image processing, which, as noted earlier, is characterized
by the need for extensive algorithm development and experimental work. After an introduction
to the fundamentals of MATLAB functions and programming, the book proceeds to address the
mainstream areas of image processing. The major areas covered include intensity
transformations, linear and nonlinear spatial filtering, filtering in the frequency domain, image
restoration and registration, color image processing, wavelets, image data compression,
morphological image processing, image segmentation, region and boundary representation and
description, and object recognition. This material is complemented by numerous illustrations of
how to solve image processing problems using MATLAB and IPT functions. In cases where a
function did not exist, a new function was written and documented as part of the instructional
focus of the book. Over 60 new functions are included in the following chapters. These functions
increase the scope of IPT by approximately 35 percent and also serve the important purpose of
further illustrating how to implement new image processing software solutions. The material is
presented in textbook format, not as a software manual. Although the book is self-contained, we
have established a companion Web site (see Section 1.5) designed to provide support in a
number of areas. For students following a formal course of study or individuals embarked on a
program of self study, the site contains tutorials and reviews on background material, as well as
projects and image databases, including all images in the book. For instructors, the site contains
classroom presentation materials that include PowerPoint slides of all the images and graphics
used in the book. Individuals already familiar with image processing and IPT fundamentals will
find the site a useful place for up-to-date references, new implementation techniques, and a host
of other support material not easily found elsewhere. All purchasers of the book are eligible to
download executable files of all the new functions developed in the text. As is true of most
writing efforts of this nature, progress continues after work on the manuscript stops. For this
reason, we devoted significant effort to the selection of material that we believe is fundamental,
and whose value is likely to remain applicable in a rapidly evolving body of knowledge. We trust
that readers of the book will benefit from this effort and thus find the material timely and useful
in their work.
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Book Description
Remember when digital cameras first came on the market a few years ago? Like most people,
you probably waited to buy one, waiting to see if it was just a fad or if it was going to become a
way of life, much like PCs did in the 1980s. Well, years have gone by and digital cameras are only
getting better with time. Yet it seems like more people have digital cameras than know how to
use them. How Digital Photography Works is a digital camera and photography book that
actually tells you how it all works. Full-color, large illustrations take the guesswork out of
understanding all of the cool things your digital camera and software can do, from capturing
images to fixing mistakes. You will learn:
* How a lens works
* How exposure works
* How digital cameras transform light to become data
* How digital cameras manipulate photos
* How digital tools correct picture-taking mistakes
* How digital print-making works
* So much more
How Digital Photography Works is the only book that gives you a behind the scenes look at
digital photography, ultimately making you a better digital photographer.
About the Author
Ron White is a founder of one of the earliest PC user groups, he has been writing about
computers for 20 years, and is the author of many other books, including How Computers Work,
one of the best-selling computer books of all times. The second edition of How Computers Work
won an award for best non-fiction computer book from the Computer Press Association.
Timothy Downs is a long-time artist with Ziff Davis Publications. He currently illustrates for
PCComputing and has been illustrator for the popular How It Works stories there. He is the
original artist for the first edition of How Computers Work.
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