"Simulation and Verification of Electronic and Biological Systems" provides a showcase for the Circuit and Multi-Domain Simulation Workshop held in San Jose, California, USA, on November 5, 2009. The nine chapters are contributed by experts in the field and provide a broad discussion of recent developments on simulation, modeling and verification of integrated circuits and biological systems.

Specific topics include large scale parallel circuit simulation, industrial practice of fast SPICE simulation, structure-preserving model order reduction of interconnects, advanced simulation techniques for oscillator networks, dynamic stability of static memories and biological systems as well as verification of analog integrated circuits.

Simulation and verification are fundamental enablers for understanding, analyzing and designing an extremely broad range of engineering and biological circuits and systems. The design of nanometer integrated electronic systems and emerging biomedical applications have stimulated the development of novel simulation and verification techniques and methodologies. "Simulation and Verification of Electronic and Biological Systems" provides a broad discussion of recent advances on simulation, modeling and verification of integrated circuits and biological systems and offers a basis for stimulating new innovations.

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Commercial systems built today are increasingly using XML technologies for storing any amount of text or data. Services and Business Computing Solutions with XML: Applications for Quality Management and Best Processes collects the latest research for academicians and practitioners that describes the use and synergy between data structure technologies. This book explores and investigates various issues of XML data and related applications summarized by Web services.

Multimedia Database Management Systems presents the issues and the techniques used in building multimedia database management systems. Chapter 1 provides an overview of multimedia databases and underlines the new requirements for these applications. Chapter 2 discusses the techniques used for storing and retrieving multimedia objects. Chapter 3 presents the techniques used for generating metadata for various media objects. Chapter 4 examines the mechanisms used for storing the index information needed for accessing different media objects. Chapter 5 analyzes the approaches for modeling media objects, both their temporal and spatial characteristics. Object-oriented approach, with some additional features, has been widely used to model multimedia information. The book discusses two systems that use object-oriented models: OVID (Object Video Information Database) and Jasmine. The models for representing temporal and spatial requirements of media objects are then studied. The book also describes authoring techniques used for specifying temporal and spatial characteristics of multimedia databases. Chapter 6 explains different types of multimedia queries, the methodologies for processing them and the language features for describing them. The features offered by query languages such as SQL/MM (Structured Query Language for Multimedia), PICQUERY+, and Video SQL are also studied. Chapter 7 deals with the communication requirements for multimedia databases. A client accessing multimedia data over computer networks needs to identify a schedule for retrieving various media objects composing the database. The book identifies possible ways for generating a retrieval schedule. Chapter 8 ties together the techniques discussed in the previous chapters by providing a simple architecture of a distributed multimedia database management system. Multimedia Database Management Systems can be used as a text for graduate students and researchers working in the area of multimedia databases. In addition, the book serves as essential reading material for computer professionals who are in (or moving to) the area of multimedia databases.

Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for business orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the seven ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of pro grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995)."

*Encourages students into the profession of media production for sports, drawing on case studies and interviews with practitioners and providing careers advice for students looking to break into the industry. *This is the first book to address motion graphics in sports production and presentation so fills a niche gap in the market which sits between media production, graphic design and advertising/sports marketing. *Combines research and practice to give a holistic overview of the area and where it is going/how students can shape it.

Game Sound Technology and Player Interaction: Concepts and Developments researches both how game sound affects a player psychologically, emotionally, and physiologically, and how this relationship itself impacts the design of computer game sound and the development of technology. This compilation also applies beyond the realm of video games to other types of immersive sound, such as soundscape design, gambling machines, emotive and fantastical sound to name a few. The application for this research is wide-ranging, interdisciplinary, and of primary importance for academics and practitioners searching for the right sounds.

As businesses, researchers, and practitioners look to devise new and innovative technologies in the realm of e-commerce, the human side in contemporary organizations remains a test in the industry. ""Utilizing and Managing Commerce and Services Online"" broadens the overall body of knowledge regarding the human aspects of electronic commerce technologies and utilization in modern organizations. ""Utilizing and Managing Commerce and Services Online"" provides comprehensive coverage and understanding of the social, cultural, organizational, and cognitive impacts of e-commerce technologies and advances in organizations around the world. E-commerce strategic management, leadership, organizational behavior, development, and employee ethical issues are only a few of the challenges presented in this all-inclusive work.

Multimedia computing has emerged in the last few years as a major area of research. Multimedia computer systems have opened a wide range of applications by combining a variety of information sources, such as voice, graphics, animation, images, audio and full-motion video. Looking at the big picture, multimedia can be viewed as the merging of three industries: computer, communications, and broadcasting industries. Research and development efforts can be divided into two areas. As the first area of research, much effort has been centered on the stand-alone multimedia workstation and associated software systems and tools, such as music composition, computer-aided education and training, and interactive video. However, the combination of multimedia computing with distributed systems offers even greater potential. New applications based on distributed multimedia systems include multimedia information systems, collaborative and video conferencing systems, on-demand multimedia services, and distance learning. Multimedia Systems and Techniques is one of two volumes published by Kluwer, both of which provide a broad introduction into this fast moving area. The book covers fundamental concepts and techniques used in multimedia systems. The topics include multimedia objects and related models, multimedia compression techniques and standards, multimedia interfaces, multimedia storage techniques, multimedia communication and networking, multimedia synchronization techniques, multimedia information systems, scheduling in multimedia systems, and video indexing and retrieval techniques. Multimedia Systems and Techniques, together with its companion volume, Multimedia Tools and Applications, is intended for anyone involved in multimedia system design and applications and can be used as a textbook for advanced courses on multimedia.

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.

In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate their new and insightful models and methods. The applications are in areas of societal interest such as the spread of infectious diseases, migration behaviour, and retail and agricultural location strategies. In addition, there is emphasis on the uses of new technologoies for the analysis of spatial data through the application of neural network concepts.

It is, indeed, widely acceptable today that nowhere is it more important to focus on the improvement of software quality than in the case of systems with requirements in the areas of safety and reliability - especially for distributed, real-time and embedded systems. Thus, much research work is under progress in these fields, since software process improvement impinges directly on achieved levels of quality, and many application experiments aim to show quantitative results demonstrating the efficacy of particular approaches. Requirements for safety and reliability - like other so-called non-functional requirements for computer-based systems - are often stated in imprecise and ambiguous terms, or not at all. Specifications focus on functional and technical aspects, with issues like safety covered only implicitly, or not addressed directly because they are felt to be obvious; unfortunately what is obvious to an end user or system user is progressively less so to others, to the extend that a software developer may not even be aware that safety is an issue. Therefore, there is a growing evidence for encouraging greater understanding of safety and reliability requirements issues, right across the spectrum from end user to software developer; not just in traditional safety-critical areas (e.g. nuclear, aerospace) but also acknowledging the need for such things as heart pacemakers and other medical and robotic systems to be highly dependable.

"R for Business Analytics" looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut downand bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics.

This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field ofexploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategizeand DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy.

The book utilizes Albert Einstein s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimovwas a better writer in spreading science than any textbook or journal author."

The latest developments in rendering, visualization, and rasterization hardware are reported in this volume, which contains revised versions of thecontributions to the Sixth Eurographics Workshop on Graphics Hardware, held in Vienna in September 1991 in conjunction with the Eurographics '91 Conference. The book has five parts and a keynote paper, "Issues and Directions for Graphics Hardware Accelerators," by Kurt Akeley. The first part of the book concerns graphics hardware design, including simulation and silicon compilers. The second part contains two papers on graphics systems. The third part focuses on volume (voxel-based) machines, describing two devices to facilitate transformations of volumes. The fourth part includes papers on rasterization systems, including character rasterization and scan-conversion of triangular faces. The papers in the last part of the book focus on rendering machines. They include a programmable rendering engine, primitive shaders, and radiosity implementation on a parallel architecture.

Modelling Survival Data in Medical Research, Fourth Edition describes the analysis of survival data, illustrated using a wide range of examples from biomedical research. Written in a non-technical style, it concentrates on how the techniques are used in practice. Starting with standard methods for summarising survival data, Cox regression and parametric modelling, the book covers many more advanced techniques, including interval-censoring, frailty modelling, competing risks, analysis of multiple events, and dependent censoring. This new edition contains chapters on Bayesian survival analysis and use of the R software. Earlier chapters have been extensively revised and expanded to add new material on several topics. These include methods for assessing the predictive ability of a model, joint models for longitudinal and survival data, and modern methods for the analysis of interval-censored survival data. Features: Presents an accessible account of a wide range of statistical methods for analysing survival data Contains practical guidance on modelling survival data from the author's many years of experience in teaching and consultancy Shows how Bayesian methods can be used to analyse survival data Includes details on how R can be used to carry out all the methods described, with guidance on the interpretation of the resulting output Contains many real data examples and additional data sets that can be used for coursework All data sets used are available in electronic format from the publisher's website Modelling Survival Data in Medical Research, Fourth Edition is an invaluable resource for statisticians in the pharmaceutical industry and biomedical research centres, research scientists and clinicians who are analysing their own data, and students following undergraduate or postgraduate courses in survival analysis.

Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.

This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions-a theory-then-application approach-where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic.

Welcome to the world of 3D architectural visualizations using the most powerful and versatile 3D software package on the planet: 3ds Max. In just the last few years, the visualization industry has arguably become the fastest-growing 3D industry, and may soon overtake all others in total number of users. Just as the use ofcomputer-aided designbecame the norm for nearly all architectural, engineering, and construction firms in the 1990s, 3D visualizations have become standard practice today.

This book takes you through the challenge of learning one of the most complex computer programs ever created, by way of easy-to-follow tutorials and instruction. It specifically focuses on those parts of the program you need to know to produce stunning architectural visualizations.

The intent is not to show you every possible way to accomplish a task, but rather some of the fastest and most efficient ways. At the end of the book, there is a guide to marketing your services, as well as 20 top tips that took the author almost 10 years to learn in a production environmentsometimes the hard way.

3ds Max is a large and complex application, but by learning just the features that apply to visualizations, you'll be learning everything you need to know to get ahead in the industry in the shortest possible amount of time.

Multiresolution methods in geometric modelling are concerned with the generation, representation, and manipulation of geometric objects at several levels of detail. Applications include fast visualization and rendering as well as coding, compression, and digital transmission of 3D geometric objects.

This book marks the culmination of the four-year EU-funded research project, Multiresolution in Geometric Modelling (MINGLE). The book contains seven survey papers, providing a detailed overview of recent advances in the various fields within multiresolution modelling, and sixteen additional research papers. Each of the seven parts of the book starts with a survey paper, followed by the associated research papers in that area. All papers were originally presented at the MINGLE 2003 workshop held at Emmanuel College, Cambridge, UK, 9-11 September 2003.

Packed with more than 350 techniques, this book delivers what you need to know-on the spot. Its concise presentation of professional techniques is suited to experienced artists whether you are: * Migrating from another visual effects application * Upgrading to Houdini 9 * Seeking a handy reference to raise your proficiency with Houdini Houdini On the Spot presents immediate solutions in an accessible format. It clearly illustrates the essential methods that pros use to get the job done efficiently and creatively. Screenshots and step-by-step instructions show you how to: * Navigate and manipulate the version 9 interface * Create procedural models that can be modified quickly and efficiently with Surface Operators (SOPs) * Use Particle Operators (POPs) to build complex simulations with speed and precision * Minimize the number of operators in your simulations with Dynamics Operators (DOPs) * Extend Houdini with customized tools to include data or scripts with Houdini Digital Assets (HDAs) * Master the version 9 rendering options including Physically Based Rendering (PBR), volume rendering and motion blur * Quickly modify timing, geometry, space and rotational values of your animations with Channel Operators (CHOPs) * Create and manipulate elements with Composite Operators (COPs); Houdini's full-blown compositor toolset * Make your own SOPs, COPs, POPs, CHOPs, and shaders with the Vector Expressions (VEX) shading language * Configure the Houdini interface with customized environments and hotkeys * Mine the treasures of the dozens of standalone applications that are bundled with Houdini