Author(s) : Grigorii Kabatiansky, Evgenii Krouk, Sergei Semenov
Publisher : Wiley
Year : Feb 2005
ISBN 10 : 047086754X
ISBN 13 : 9780470867549
Language : English
Pages : 288
File type : PDF
Size : 2.6 MB

Error correcting coding is often analyzed in terms of its application to the separate levels within the data network in isolation from each other. In this fresh approach, the authors consider the data network as a superchannel (a multi-layered entity) which allows error correcting coding to be evaluated as it is applied to a number of network layers as a whole. By exposing the problems of applying error correcting coding in data networks, and by discussing coding theory and its applications, this original technique shows how to correct errors in the network through joint coding at different network layers

By progressing from theory through to practical problem solving, this resource contains invaluable advice for researchers, postgraduate students, engineers and computer scientists interested in data communications and applications of coding theory.

The problem of error control coding in data networks is very wide and not yet fully defined today so the authors do not claim to provide a full solution of the problem but are hoping that this book can become a fist step to further research in the fild.

Author(s) : Scott W. Ambler
Publisher : Cambridge
Year : Mar 2004
ISBN 10 : 0521540186
ISBN 13 : 9780521540186
Language : English
Pages : 572
File type : CHM
Size : 10 MB

The Object Primer is a straightforward, easy-to-understand introduction to agile software development (ASD) using object-oriented (OO) and relational database technologies. It covers the fundamental concepts of ASD and OO and describes how to take an agile approach to requirements, analysis, and design techniques applying the techniques of the unified modeling language (UML) 2 as well as other leading-edge techniques, including agile model–driven development (AMDD) and test-driven development (TDD) approaches.

During the 1990s OO superceded the structured paradigm as the primary technology paradigm for software development. Now during the 2000s ASD is superceding traditional, prescriptive approaches to software development. While OO and ASD are often used to develop complex systems, learning them does not need to be complicated. This book is different from many other introductory books about these topics—it is written from the point of view of a real-world developer, someone who has lived through the difficulty of learning these concepts.

This book is aimed at two primary audiences—existing developers and university/college students who want to gain the fundamental skills required to succeed on modern software development projects. Throughout this book I use the term "developer" broadly: a developer is anyone involved in the development of a software application. This includes programmers, analysts, designers, business stakeholders, database administrators, support engineers, and so on. While many people would not include business stakeholders in this, my experience is that active business stakeholder involvement is often the key determinant to the success of a software project. Business stakeholders can actively participate in requirements engineering, analysis, and sometimes, in design—it is clear to me that they should be considered developers. Call me a radical.

In this book, you will find a survey of the latest software development techniques and a wealth of knowledge to get you started on the road to agile. Those new to this community will find an overview of the critical areas of the agile software movement. This book will help you become more productive. The agile principles inside will change the way that you view software development and, ultimately, the way you build software.

Author(s): Brian Noyes
Publisher: Addison Wesley
Year: Jan 2006
ISBN: 032126892X
Language: English
File type: CHM
Pages: 736
Size : 5.7 MB

Data Binding with Windows Forms 2.0 earns a gold star and a prized place in my development book library. Brian is an exceptional teacher of technology, best practices, and technique. He continues to educate at every presentation I attend; his book carries that quality to paper. I found this book to be highly informative and full of all the important steps and examples necessary to learn this technology. In this book, Brian demonstrates a firm grasp on the concepts and I really enjoy his efforts to promote best practices at every chance. Definitively a cover-to-cover read.

Data binding is the most important part of many business applicationsand one of the most difficult things to understand. Data Binding with Windows Forms 2.0 is the first book to focus on this crucial area of development. It will quickly get you up to speed on binding data sources to Windows Forms components. The book contains clear examples in C# that work with SQL Server 2000 and SQL Server 2005. Visual Basic .NET examples are available on the book's Web site.

This book is all about the what and the why of binding to data sources in a Windows Forms application built using Visual Studio 2005. The book goes into great detail in explaining the rationale behind the designer-generated code, recommends best practices, gives tips and tricks, demystifies the machine-generated code and how to extend it, and shows how to compensate for its limitations. Not only that, but this book also prepares you to unleash the power and user-friendliness of the smart client today and tomorrow. This book is your license to wizard, designed to make you the James Bond of data binding, and I think that says it all.

Hardcover: 293 pages

Publisher: Springer; 1 edition (October 1, 2007)

Language: English

ISBN-10: 0387699384

ISBN-13: 978-0387699387

File type : PDF

Size : 8,9 MB

Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.
Machine Learning for Multimedia Content Analysis introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons.
Machine Learning for Multimedia Content Analysis is designed for an academic and professional audience. Researchers will find this book an invaluable tool for applying machine learning techniques to multimedia content analysis. This volume is also suitable for practitioners in industry.

Hardcover: 410 pages
Publisher: Springer; 1 edition (August 23, 2007)
Language: English
ISBN-10: 0387719199
ISBN-13: 978-0387719191
File type : PDF
Size : 7MBtheir value in a remarkable story of success. Researchers have demonstrated the ability of these methods to solve hard combinatorial problems of practical sizes within reasonable computational time.

Highlighted in METAHEURISTICS: Progress in Complex Systems Optimization are the recent developments made in the area of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms. In addition, a series of tutorials on developing areas in Metaheuristics are presented in the volume. Giving these tutorials are some of the top researchers in Metaheuristics: Edmund Burke, Reuven Rubinstein, Eric Taillard, Gilles Pesant, Pierre Hansen, and Stefan Voß.
Applications addressed are anticipated to include production planning, machine and project scheduling, the traveling salesman and vehicle routing, packing, knapsack and location problems with layout design, portfolio selection, network-design, health care, energy and environmental planning, data mining, pattern classification and biotechnology, among others.
The aim of this book is to provide several different kinds of information: a delineation of general Metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.