Mesh Parameterization Methods And Their Applications

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Parameterizations between surface meshes and a variety of domains have numerous applications in computer graphics and geometry processing. In recent years numerous methods for parameterizing meshes have been developed, targeting diverse parameter domains and focusing on different parameterization properties. Mesh Parameterization Methods and their Applications reviews the various parameterization methods, summarizing the main ideas of each technique and focusing on the practical aspects of the methods.

It also provides examples of the results generated by many of the more popular methods. When several methods address the same parameterization problem, the survey strives to provide an objective comparison between them based on criteria such as parameterization quality, efficiency and robustness. Mesh Parameterization Methods and their Applications provides guidance to researchers and developers when assessing the suitability of different methods for various applications. The authors focus on the practical aspects of the methods available, such as time complexity and robustness. They also provide multiple examples of parameterizations generated using different methods, allowing the reader to visually evaluate and compare the results.

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SIP Handbook: Services, Technologies, and Security of Session Initiation Protocol

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Widely adopted by service providers to enable IP telephony, instant messaging, and other data services, SIP is the signaling protocol of choice for advanced multimedia communications signaling. Compiled by noted engineering experts Syed Ahson and Mohammad Ilyas, SIP Handbook: Services, Technologies, and Security of Session Initiation Protocol presents a thorough technical review of all aspects of SIP. It captures the current state of IP Multimedia Subsystem technology and provides a unique source of comprehensive reference material on this subject.

SIP Applications for Today and Tomorrow

The scope of this volume ranges from basic concepts to future perspectives. Divided into three sections, the book begins with a discussion of SIP in peer-to-peer networks and then goes on to examine advanced media integration, migration considerations, mobility management, and group conferencing, while also reviewing home networking and compliance issues.

The middle section of the book focuses on the underlying technologies of SIP. Chapters review network architecture, vertical handoffs, NAT traversals, multipoint extensions, and other areas at the forefront of research. Finally, the text examines various security vulnerabilities and provides perspectives on secure intelligent SIP services with a future outlook on a fraud detection framework in VoIP networks.

Insights from International Researchers

Authored by 65 experts from across the world, this text is sure to advance the field of knowledge in this ever-changing industry and provide further impetus for new areas of exploration. Because of the editors’ pivotal influence and their proximity to both the current market and the latest science, this work is certain to become the definitive text on this emerging technology.

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Scientific Collaboration on the Internet

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Modern science is increasingly collaborative, as signaled by rising numbers of coauthored papers, papers with international coauthors, and multi-investigator grants. Historically, scientific collaborations were carried out by scientists in the same physical location—the Manhattan Project of the 1940s, for example, involved thousands of scientists gathered on a remote plateau in Los Alamos, New Mexico.

Today, information and communication technologies allow cooperation among scientists from far-flung institutions and different disciplines. Scientific Collaboration on the Internet provides both broad and in-depth views of how new technology is enabling novel kinds of science and engineering collaboration. The book offers commentary from notable experts in the field along with case studies of large-scale collaborative projects, past and ongoing.

The projects described range from the development of a national virtual observatory for astronomical research to a National Institutes of Health funding program for major multilaboratory medical research; from the deployment of a cyberinfrastructure to connect experts in earthquake engineering to partnerships between developed and developing countries in AIDS research. The chapter authors speak frankly about the problems these projects encountered as well as the successes they achieved. The book strikes a useful balance between presenting the real stories of collaborations and developing a scientific approach to conceiving, designing, implementing, and evaluating such projects. It points to a future of scientific collaborations that build successfully on aspects from multiple disciplines.

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The elements of artificial intelligence: An introduction using LISP

The purpose of this book is to provide an up-to-date and didactically coherent introduction to the principles and programming methods of artificial intelligence. It is appropriate for an undergraduate or first-year graduate course. While it is possible for the student to get acquainted with artificial intelligence in a single quarter or semester, a sequence of two to three quarters or semesters is preferable.

The author covers most of the material in two academic quarters at the University of Washington. During the first quarter, Chapters 1 through 6 or 7 are tackled, laying a foundation of symbol manipulation,knowledge representation and inference. The second quarter takes on the more advanced topics: learning, natural language understanding, vision and the integration of AI technology into expert systems.
If programming is to be given a heavy emphasis, the material can be spread over more than two quarters; more of the problems may be assigned, and the instructor may wish to spend some time discussing various aspects of the assignments. In the final term of a two- or three-course sequence, a term project by each student, which can grow out of one of the programs provided in the text, can be very successful.
Unlike other AI texts, The Elements of Artificial Intelligence integrates the presentation of principles with actual runnable LISP illustrations. I have attempted to implement a large enough fraction of these ideas in fully-presented LISP programs to allow the student to gain enough intuition through experiment to support his/her understanding of all the principles covered…

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E-Service Intelligence (Studies in Computational Intelligence)

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vi(1) Tips: Essential vi/vim Editor Skills

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No Unix-class system administrator or user will get far without learning the basics of vi(1), the widespread visual text-mode editor. Learning it has just gotten easier with “vi(1) Tips,” the first book on vi(1) that doesn’t scare the reader with unfamiliar terminology. We designed this book to get you up to speed with vi(1) in the least possible amount of time. And yes, the skills you learn in this book can be applied to all vi(1) implementations, including vim.

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Statistics in a Nutshell: A Desktop Quick Reference

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Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that’s perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.
You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you’ll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis.

Organized into four distinct sections, Statistics in a Nutshell offers you:

Introductory material:
• Different ways to think about statistics
• Basic concepts of measurement and probability theory
• Data management for statistical analysis
• Research design and experimental design
• How to critique statistics presented by others

Basic inferential statistics:

• Basic concepts of inferential statistics
• The concept of correlation, when it is and is not an appropriate measure of association
• Dichotomous and categorical data
• The distinction between parametric and nonparametric statistics

Advanced inferential techniques:

• The General Linear Model
• Analysis of Variance (ANOVA) and MANOVA
• Multiple linear regression

Specialized techniques:

• Business and quality improvement statistics
• Medical and public health statistics
• Educational and psychological statistics

Unlike many introductory books on the subject, Statistics in a Nutshell doesn’t omit important material in an effort to dumb it down. And this book is far more practical than most college texts, which tend to over-emphasize calculation without teaching you when and how to apply different statistical tests.

With Statistics in a Nutshell, you learn how to perform most common statistical analyses, and understand statistical techniques presented in research articles. If you need to know how to use a wide range of statistical techniques without getting in over your head, this is the book you want.

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Automatic Speech Recognition on Mobile Devices and over Communication Networks

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The remarkable advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This trend is accelerating.

This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks. It covers network, distributed and embedded speech recognition systems, which are expected to co-exist in the future. It offers a wide-ranging, unified approach to the topic and its latest development, also covering the most up-to-date standards and several off-the-shelf systems.

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Self-Service in the Internet Age: Expectations and Experiences

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The Internet has emerged as a network which enables a vast range of interactions between businesses and government organizations and individuals. These interactions are classified as B2C (business to consumer), B2B (business to business) and C2C (consumer to consumer) creating ever growing forms of Internet connectedness.

This connectedness enables a vast range of self-service opportunities via the Internet. Self-Service in the Internet Age explores attitudes and behaviors to this new form of self-service provision. It focuses on how services are used and viewed by those who choose to use or not use them in a variety of contexts such as personal banking, shopping, travel, education, and health.

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Statistics for Economics, Accounting and Business Studies

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The fourth edition of Statistics for Economics, Accounting and Business Studies presents an exceptionally clear and concise introduction to a range of statistical concepts and techniques. Using actual data to illustrate the theory, this student-friendly book shows how real-life problems can be solved using statistical techniques and refreshingly explains why they are used. Throughout the text key issues are highlighted and many common statistical traps and mistakes are revealed and explained.

This is a core text for introductory courses in statistics at undergraduate and MBA level. The user friendly text is particularly suitable for economics and accounting students and will also appeal to business studies students. It requires no prior knowledge of the subject and provides students with numerous real-life examples, problems and applications.

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