This book focuses on novel trends in software evolution research and its relations with other emerging disciplines. Mens and Demeyer, both authorities in the field of software evolution, do not restrict themselves to the evolution of source code but also address the evolution of other, equally important software artifacts. This book is the indispensable source for researchers and professionals looking for an introduction and comprehensive overview of the state-of-the-art.

Art and Technology of Entertainment Computing and Communication takes a blue sky research perspective on the field of interactive media for entertainment computing. Adrian David Cheok argues that entertainment as an end-product is useful for interactive play, however it is also a powerful tool for learning and communication and it is also a key driver for the development of information technology. This book explores the future of entertainment technologies used for communication and describes quantum step research. It will inform and inspire readers to create their own radical inventions and innovations that are not incremental, but which break through ideas and non-obvious solutions. One of the main explorations is the examination of how new forms of computer interaction can lead to radical new forms of technology and art for entertainment computing. Art and Technology of Entertainment Computing and Communication is an informative and inspirational text for students and the next generation of researchers. It s main aim is to provide information that will hopefully help change the world and society for the better, through new modes of entertainment and communication. Academics, researchers, engineers, game designers, and interaction designers, will find the content both interesting and valuable. Entertainment is the "engine" to inspire people and drive innovation in interactive digital media design. The pioneer of the field, Prof. Adrian David Cheok, takes you on an exciting tour of the future shaped by the Entertainment Technologies. Hiroshi ISHII, Muriel R. Cooper Professor of Media Arts and Sciences, MIT Media Laboratory."

Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem. Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

In order to stay competitive, modern businesses need to adopt an enterprise information system or an integrated IT platform that operates on an 'always-on' basis in order to remain resilient, continuous, operational, adaptive, and responsive in this increasingly competitive and changing business environment. ""Always-On Enterprise Information Systems for Business Continuance: Technologies for Reliable and Scalable Operations"" provides an in-depth and scientifically-based analysis of 'always-on' enterprise information systems. This advanced publication identifies methodological frameworks for designing and developing efficient systems and effective strategies for 'always-on' implementation, valuable to academicians, researchers, and practitioners.

The goal of this book is to present the most advanced research works in realistic computer generated images. It is made up of the papers presented during a Eurographics workshop that has been held in Rennes (France) on June 1990. Although realism in computer graphics has existed for many years, we have considered that two research directions can now clearly be identified. One makes use of empirical methods to efficiently create images that look real. As opposed to this approach, the other orientation makes use of physics to produce images that are exact representations of the real world (at the expense of additional processing time), hence the term photosimulation which indeed was the subject of this book. The objectives of this workshop were to assemble experts from physics and computer graphics in order to contribute to the introduction of physics-based approaches in the field of computer generated images. The fact that this workshop was the first entirely devoted to this topic was a bet and fortunately it turned out that it was a success. The contents of this book is organized in five chapters: Efficient Ray Tracing Meth ods, Theory of Global Illumination Models, Photometric Algorithms, Form-Factor Cal culations and Physics-Based Methods.

Need fast, reliable, easy-to-use solutions for using InfoPath (R) with SharePoint (R) 2013? This book delivers exactly what you're looking for: step-by-step help and guidance with the tasks you'll perform most often. You'll learn better ways to design and develop intuitive, effective form-based solutions, and then efficiently administer, secure, and troubleshoot them. The industry's most focused resource for solving business problems with SharePoint and InfoPath forms, this book provides all the answers you need-now! Steven Mann is an Enterprise Applications Engineer for Morgan Lewis and has nearly 20 years of professional experience with collaboration and business intelligence, including a decade working with SharePoint. Formerly Principal Architect for RDA Corporation, his books include InfoPath with SharePoint 2010 How-To, Microsoft SharePoint 2010 Business Intelligence Unleashed, SharePoint 2010 Field Guide, and SharePoint 2010 Managed Metadata Unleashed. Fast, Accurate, and Easy-to-Use! ? Discover powerful tips for success with InfoPath Designer 2013 ? Efficiently create SharePoint form controls, rules, and functions ? Master form page design, views, and list forms ? Submit, publish, and use data in SharePoint forms ? Streamline business processes by integrating forms into SharePoint workflows ? Design more intuitive, easier-to-use forms with InfoPath controls, functionality, and settings ? Use template parts to create reusable form components, including controls, fields, and data connections ? Leverage Visual Studio 2012 with InfoPath to build solutions and application-level add-ins ? Dynamically populate repeating tables in forms ? Elegantly track changes in SharePoint forms ? Automatically generate new InfoPath form instances ? Use SharePoint 2013 Central Administration to manage forms and Forms Services ? Automate InfoPath Form Services administration with PowerShell ? Manage form permissions to control user access and rights ? Troubleshoot form development, deployment, publishing, and form submission

For professionals who need to design, implement or manage a quality software program, this volume identifies ten major components that make up a solid program in line with ISO 9001 quality management precepts. This second edition is expanded by over 20 per cent, with updated references, text revisions and new chapters on software safety and software risk management. It seeks to provide the starting points for a standardized documentation system, and better understanding of the individual program components and how they integrate to form the whole system.

This book opens the "black box" of software sourcing by explaining how dynamic software alignment is established and how it impacts business performance outcomes. By investigating how software-sourcing modes are related to value generation in the post-implementation phase, it shows researchers and managers the impact logic of on-demand, on-premises, and in-house software on dynamic fit and process-level performance outcomes in a client organization. It describes dynamic IT alignment as the key to success in a fast-moving digital world with software-as-a-service on the rise and highlights the fact that today companies can choose between developing software in-house (make) or sourcing packaged systems in an on-premises (buy) or an on-demand (lease) mode. This book is the first to explicitly compare these sourcing arrangements with each other in terms of alignment and business performance.

After the introduction of Enterprise Information Systems (EIS) and Enterprise Resources Planning (ERP) applications to many business organizations, the functional issues such as technical problems, security threats, persistent end-user resistance, and the excessive hidden costs of these systems began coming to light. Cases on Enterprise Information Systems and Implementation Stages: Learning from the Gulf Region focuses on the Gulf region and its lead on the enterprise systems adoption which has exceeded those in many developed countries. This reference book highlights experiences implementing EIS, delivering a comprehensive multi-perspective account of EIS issues, and explores the concerns, risks, and critical success factors of EIS for a variety of organizations. It aims to be beneficial for both practitioners and academics alike.

This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modeling. The author's aim is to derive probability theory in a way that highlights the complementary nature of its formal, intuitive, and applicative aspects while illustrating how the theory is applied in a variety of settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including being conversant with limits, but otherwise, this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability, including combinatorics, expectation, random variables, and fundamental theorems. In the second half of the book, the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, matrix geometric techniques, reversibility, and networks of queues. Examples and applications are drawn from problems in computer performance modeling. Throughout, large numbers of exercises of varying degrees of difficulty will help to secure a reader's understanding of these important and fascinating subjects.

This book is the first comprehensive survey of the field of constraint databases, written by leading researchers. Constraint databases are a fairly new and active area of database research. The key idea is that constraints, such as linear or polynomial equations, are used to represent large, or even infinite, sets in a compact way. The ability to deal with infinite sets makes constraint databases particularly promising as a technology for integrating spatial and temporal data with standard relational databases. Constraint databases bring techniques from a variety of fields, such as logic and model theory, algebraic and computational geometry, as well as symbolic computation, to the design and analysis of data models and query languages.

This book presents recent developments is the field of human aspects in Ambient Intelligence. This field, and the associated workshop series, addresses multidisciplinary aspects of AmI with human-directed disciplines such as psychology, social science, neuroscience and biomedical sciences. The aim of the workshop series is to get researchers together from these human-directed disciplines or working on cross connections of AmI with these disciplines. The focus is on the use of knowledge from these disciplines in AmI applications, in order to support humans in their daily living in medical, psychological and social respects. The book plays important role to get modellers in the psychological, neurological, social or biomedical disciplines interested in AmI as a high-potential application area for their models. From the other side, the book may make researchers in Computer Science and Artificial and Ambient Intelligence more aware of the possibilities to incorporate more substantial knowledge from the psychological, neurological, social and biomedical disciplines in AmI architectures and applications.

Within 50 years computers could have capabilities rivaling that of the human brain. Effective utilization of such new technologies poses a significant challenge to the computer science community, which finds an ever increasing number of complex applications within its technological grasp. In addition to increased complexity, most, if not all, of these applications are also accompanied by an inherent increase in the consequences associated with their failure, resulting in the construction of increasingly high consequence complex systems. Systems that fall within this domain are beyond the ability to construct in a brute force manner. There are two major challenges in developing such systems: manage complexity and provide sufficient evidence that the system satisfies dependability constraints. Society is tacitly relying on the research community to solve these problems on a timetable satisfying the needs of industry. While impressive results have been obtained, the research community is still, to some extent, hamstrung by the lack of realistic case study problems against which to benchmark new techniques and approaches. The purpose of High Integrity Software is to explore a cross-section of some of the most promising areas of research in the construction of high consequence complex systems, for example, a case study involving the Bay Area Rapid Transit (BART) system. Because of its scope and complexity, the BART case study is being recognized by many in the formal methods community as one of the definitive case study problems, and as such provides a valuable insight into the challenges that must be faced in the upcoming years. High Integrity Software is suitable as a secondary text for agraduate level course, and as a reference for researchers and practitioners in industry.

Love the game? Then you'll love this Annual. It's packed with essential tips, secrets and info guaranteed to up your skill level and help you build an undefeatable crew. Read about each Legend and discover their unique personality, strengths and abilities. Get ready for action and excitement on every page!

Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines.

Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.

With the New Perspectives' critical-thinking, problem-solving approach, students will gain a comprehensive understanding of Microsoft Office Access 2010 and will learn how to take advantage of the flexibility it offers. Case-based tutorials challenge students to apply what they are learning to real-life tasks, preparing them to easily transfer skills to new situations. With New Perspectives, students understand why they're learning what they're learning and are better situated to retain skills beyond the classroom.

This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).

This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables. Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3-6 for continuous random variables and Chapters 7-9 for discrete random variables) used in APPL. The book concludes with Chapters 10-15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.

This status report features the most recent developments in the field, spanning a wide range of topical areas in the computer simulation of condensed matter/materials physics. Both established and new topics are included, ranging from the statistical mechanics of classical magnetic spin models to electronic structure calculations, quantum simulations, and simulations of soft condensed matter.

Organisational complexity is an unavoidable aspect of all businesses, even larger ones, which can hinder their ability to react to sudden or disruptive change. However, with the implementation of enterprise architecture (EA), businesses are able to provide their leaders with the resources needed to address any arising challenges. A Systemic Perspective to Managing Complexity with Enterprise Architecture highlights the current advances in utilising enterprise architecture for managing organisational complexity. By demonstrating the value and usefulness of EA, this book serves as a reference for business leaders, managers, engineers, enterprise architects, and many others interested in new research and approaches to business complexity.

Changes and additions are sprinkled throughout. Among the significant new features are: * Markov-chain simulation (Sections 1. 3, 2. 6, 3. 6, 4. 3, 5. 4. 5, and 5. 5); * gradient estimation (Sections 1. 6, 2. 5, and 4. 9); * better handling of asynchronous observations (Sections 3. 3 and 3. 6); * radically updated treatment of indirect estimation (Section 3. 3); * new section on standardized time series (Section 3. 8); * better way to generate random integers (Section 6. 7. 1) and fractions (Appendix L, program UNIFL); * thirty-seven new problems plus improvements of old problems. Helpful comments by Peter Glynn, Barry Nelson, Lee Schruben, and Pierre Trudeau stimulated several changes. Our new random integer routine extends ideas of Aarni Perko. Our new random fraction routine implements Pierre L'Ecuyer's recommended composite generator and provides seeds to produce disjoint streams. We thank Springer-Verlag and its late editor, Walter Kaufmann-Bilhler, for inviting us to update the book for its second edition. Working with them has been a pleasure. Denise St-Michel again contributed invaluable text-editing assistance. Preface to the First Edition Simulation means driving a model of a system with suitable inputs and observing the corresponding outputs. It is widely applied in engineering, in business, and in the physical and social sciences.

Games and simulations have emerged as new and effective tools for educational learning by providing interactivity and integration with online resources that are typically unavailable with traditional educational resources. Design, Utilization, and Analysis of Simulations and Game-Based Educational Worlds presents developments and evaluations of games and computer-mediated simulations in order to showcase a better understanding of the role of electronic games in multiple studies. This book is useful for researchers, practitioners, and policymakers to gain a deeper comprehension of the relationship between research and practice of electronic gaming and simulations in the educational environment.