Knowledge sharing within an organization is essential to its continued success and growth, though remaining aware of new communication technologies is a difficult task. Web Engineered Applications for Evolving Organizations: Emerging Knowledge explores integrated approaches to IT and Web engineering, offering solutions and best practices for knowledge exchange within organizations. This publication focuses on research in a number of related disciplines, including data knowledge storage and retrieval, intelligent information systems, IT education and training, and IT readiness.

Created by the Joint Photographic Experts Group (JPEG), the JPEG standard is the first color still image data compression international standard. This new guide to JPEG and its technologies offers detailed information on the new JPEG signaling conventions and the structure of JPEG compressed data.

Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process.
Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.

This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology. It presents extended versions of papers from the First Workshop on Eye Tracking and Visualization (ETVIS), which was organized as a workshop of the IEEE VIS Conference 2015. Topics include visualization and visual analytics of eye-tracking data, metrics and cognitive models, eye-tracking experiments in the context of visualization interfaces, and eye tracking in 3D and immersive environments. The extended ETVIS papers are complemented by a chapter offering an overview of visualization approaches for analyzing eye-tracking data and a chapter that discusses electrooculography (EOG) as an alternative of acquiring information about eye movements. Covering scientific visualization, information visualization, and visual analytics, this book is a valuable resource for eye-tracking researchers within the visualization community.

In just 24 lessons of one hour or less, Sams Teach Yourself Unity Game Development in 24 Hours will help you master the Unity 2021 game engine at the heart of Inside, Kerbal Space Program, Subnautica, and many other sizzling-hot games!

This book's straightforward, step-by-step approach teaches you everything from the absolute basics through sophisticated game physics, animation, and mobile device deployment techniques. Every lesson builds on what you've already learned, giving you a rocksolid foundation for real-world success.

* Step-by-step instructions carefully walk you through the most common Unity game development tasks.
• Four sample game projects illustrate the topics
• Practical, hands-on examples show you how to apply what you learn
• Quizzes and exercises help you test your knowledge and stretch your skills
• Notes and Tips point out shortcuts and solutions

Computer Science Project Work: Principles and Pragmatics is essential reading for lecturers and course designers who want to improve their handling of project work on specific courses, and deans and department heads who are interested in strategic issues and comparative practices. It explores working practices within the curriculum and provides a resource of guidelines and practical advice, including tried and tested "good ideas" and case studies of innovative practices.It looks at different approaches to key aspects of project work such as:- Allocation- Supervision- Assessment Integration with the curriculumand allows readers to "mix and match" approaches to create a system which suits their individual needs."Computer Science Project Work: Principles and Pragmatics is passionate, well-researched, and well-written...I wish I had this book from the beginning of my teaching career, and you will too."Susan Fowler, Professor of Technical Communication and Usability, Polytechnic University, Brooklyn, New York"Sally Fincher and her colleagues have assembled a cornucopia of practical advice and case studies, solidly referenced. This is the source book on using projects in computer science education."David Baume, Director of Teaching Development, Centre for Higher Education Practice, The Open University, UK"...very well-researched, it covers all the aspects, from the allocation of projects and teams, to managing the project process, assessing projects, and so on.....It will prove invaluable to all lecturers involved in teaching computing...."Professor Mike Holcombe, University of Sheffield, UK

Coding is one of the most in-demand skills in the job market. Whether you're a recent graduate or a professional, Confident Coding offers the career insights and technical knowledge you need for success. A unique combination of technical insights and fascinating career guidance, this book highlights the importance of coding, whatever your professional profile. For entrepreneurs, being able to create your own website or app can grant you valuable freedom and revolutionize your business. For aspiring developers, this book will give you the building blocks to embark on your career path. This new and improved third edition of the award-winning book gives you a step-by-step learning guide to HTML, CSS, JavaScript, Python, building iPhone and Android apps and debugging. Confident Coding is the essential guide to mastering the fundamentals of coding. About the Confident series... From coding and data science to cloud and cyber security, the Confident books are perfect for building your technical knowledge and enhancing your professional career.

This clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. Topics and features: ideal for self-study, offering many pedagogical features such as chapter-opening key topics, chapter introductions and summaries, review questions, and a glossary; places our current state of knowledge within the context of the contributions made by early civilizations, such as the ancient Babylonians, Egyptians and Greeks; examines the building blocks of mathematics, including sets, relations and functions; presents an introduction to logic, formal methods and software engineering; explains the fundamentals of number theory, and its application in cryptography; describes the basics of coding theory, language theory, and graph theory; discusses the concept of computability and decideability; includes concise coverage of calculus, probability and statistics, matrices, complex numbers and quaternions.

This book constitutes the Proceedings of the IFIP Working Conference PRO COMET'98, held 8-12 June 1998 at Shelter Island, N.Y. The conference is organized by the t'wo IFIP TC 2 Working Groups 2.2 Formal Description of Programming Concepts and 2.3 Programming Methodology. WG2.2 and WG2.3 have been organizing these conferences every four years for over twenty years. The aim of such Working Conferences organized by IFIP Working Groups is to bring together leading scientists in a given area of computer science. Participation is by invitation only. As a result, these conferences distinguish themselves from other meetings by extensive and competent technical discus sions. PROCOMET stands for Programming Concepts and Methods, indicating that the area of discussion for the conference is the formal description of pro gramming concepts and methods, their tool support, and their applications. At PROCOMET working conferences, papers are presented from this whole area, reflecting the interest of the individuals in WG2.2 and WG2.3."

1.1. What This Book is About This book is a study of * subrecursive programming systems, * efficiency/program-size trade-offs between such systems, and * how these systems can serve as tools in complexity theory. Section 1.1 states our basic themes, and Sections 1.2 and 1.3 give a general outline of the book. Our first task is to explain what subrecursive programming systems are and why they are of interest. 1.1.1. Subrecursive Programming Systems A subrecursive programming system is, roughly, a programming language for which the result of running any given program on any given input can be completely determined algorithmically. Typical examples are: 1. the Meyer-Ritchie LOOP language [MR67,DW83], a restricted assem- bly language with bounded loops as the only allowed deviation from straight-line programming; 2. multi-tape 'lUring Machines each explicitly clocked to halt within a time bound given by some polynomial in the length ofthe input (see [BH79,HB79]); 3. the set of seemingly unrestricted programs for which one can prove 1 termination on all inputs (see [Kre51,Kre58,Ros84]); and 4. finite state and pushdown automata from formal language theory (see [HU79]). lOr, more precisely, the collection of programs, p, ofsome particular general-purpose programming language (e. g., Lisp or Modula-2) for which there is a proof in some par- ticular formal system (e.g., Peano Arithmetic) that p halts on all inputs.

Software Engineering with OBJ: Algebraic Specification in Action is a comprehensive introduction to OBJ, the most widely used algebraic specification system. As a formal specification language, OBJ makes specifications and designs more precise and easier to read, as well as making maintenance easier and more accurate. OBJ differs from most other specification languages not just in having a formal semantics, but in being executable, either through symbolic execution with term rewriting, or more generally through theorem proving. One problem with specifications is that they are often wrong. OBJ can help validate specifications by executing test cases, and by proving properties. As well as providing a detailed introduction to the language and the OBJ system that implements it, Software Engineering with OBJ: Algebraic Specification in Action provides case studies by leading practitioners in the field, in areas such as computer graphics standards, hardware design, and parallel computation. The case studies demonstrate that OBJ can be used in a wide variety of ways to achieve a wide variety of practical aims in the system development process. The papers on various OBJ systems also demonstrate that the language is relatively easy to understand, implement, and use, and that it supports formal reasoning in a straightforward but powerful way. Software Engineering with OBJ: Algebraic Specification in Action will be of interest to students and teachers in the areas of data types, programming languages, semantics, theorem proving, and algebra, as well as to researchers and practitioners in software engineering.

Computational Issues in High Performance Software for Nonlinear Research brings together in one place important contributions and up-to-date research results in this important area. Computational Issues in High Performance Software for Nonlinear Research serves as an excellent reference, providing insight into some of the most important research issues in the field.

Mobile ad-hoc networks must be rapidly interoperable, customizable, and quick to adapt to the latest technological advances. Technological Advancements and Applications in Mobile Ad-Hoc Networks: Research Trends offers a current look into the latest research in the field, frameworks for development, and future directions. As mobile networks become more complex, it is vital for researchers, practitioners, and academics alike to stay abreast within the ever-burgeoning field. With a wide range of applications, theories, and use across industrial, commercial, and domestic settings, mobile ad-hoc networks are a topic of vital discussion, and this volume offers the cutting edge developments with contributions from around the world.

Written by a AAA industry expert with over twenty years of experience, this book offers comprehensive coverage of the practical skills that all successful level designers need to know. It covers everything from practical production skills to the social and soft skills required to thrive in the games industry. The book begins with a theoretical and abstract approach that sets a common language for the later hard-skill applications and practical examples. These later chapters cover a wealth of practical skills for use during the concept phase, while creating layouts, scripting, and working with AI. The book includes essential chapters on topics such as social and soft skills, world building, level design direction, production, as well as how to gain a job in the industry. This book will be of great interest to all level designers, content leads and directors looking to enhance their skillset. It will also appeal to students of level and game design looking for tips on how to break into the industry.

This book is devoted to one of the main questions of the theory of extremal prob lems, namely, to necessary and sufficient extremality conditions. It is intended mostly for mathematicians and also for all those who are interested in optimiza tion problems. The book may be useful for advanced students, post-graduated students, and researchers. The book consists of four chapters. In Chap. 1 we study the abstract minimization problem with constraints, which is often called the mathemati cal programming problem. Chapter 2 is devoted to one of the most important classes of extremal problems, the optimal control problem. In the third chapter we study one of the main objects of the calculus of variations, the integral quadratic form. In the concluding, fourth, chapter we study local properties of smooth nonlinear mappings in a neighborhood of an abnormal point. The problems which are studied in this book (of course, in addition to their extremal nature) are united by our main interest being in the study of the so called abnormal or degenerate problems. This is the main distinction of the present book from a large number of books devoted to theory of extremal problems, among which there are many excellent textbooks, and books such as, e.g., 13, 38, 59, 78, 82, 86, 101, 112, 119], to mention a few."

Algorithmic Principles of Mathematical Programming investigates the mathematical structures and principles underlying the design of efficient algorithms for optimization problems. Recent advances in algorithmic theory have shown that the traditionally separate areas of discrete optimization, linear programming, and nonlinear optimization are closely linked. This book offers a comprehensive introduction to the whole subject and leads the reader to the frontiers of current research. The prerequisites to use the book are very elementary. All the tools from numerical linear algebra and calculus are fully reviewed and developed. Rather than attempting to be encyclopedic, the book illustrates the important basic techniques with typical problems. The focus is on efficient algorithms with respect to practical usefulness. Algorithmic complexity theory is presented with the goal of helping the reader understand the concepts without having to become a theoretical specialist. Further theory is outlined and supplemented with pointers to the relevant literature.
The book is equally suited for self-study for a motivated beginner and for a comprehensive course on the principles of mathematical programming within an applied mathematics or computer science curriculum at advanced undergraduate or graduate level. The presentation of the material is such that smaller modules on discrete optimization, linear programming, and nonlinear optimization can easily be extracted separately and used for shorter specialized courses on these subjects.

What is good code? Writing good code is really a question about what the code is trying to solve. (And good code is not to be confused with patterns because not all pieces of good code are patterns.) We debate about good code because there is not just a single piece of good code, but so many good pieces of code. And each good piece of code depends on the context in which it is used.

"How to Code .NET: Tips and Tricks for Coding .NET 1.1 and .NET 2.0 Applications Effectively" provides solutions to certain problems. That is, specific problems. This book provides detailed, authoritative explanations of good .NET coding techniques. It's based on award-winning material that author -->Christian Gross--> has previously presented at conferences throughout the U.S. and Europe. What's more, the author is at the forefront of the .NET technology wave and an acknowledged expert on the subject of .NET coding style and techniques.-->Table of Contents-->Testing Your Code .NET Runtime- and Framework-Related Solutions Text-Related Solutions C# Coding Solutions

Intuitionistic type theory can be described, somewhat boldly, as a partial fulfillment of the dream of a universal language for science. This book expounds several aspects of intuitionistic type theory, such as the notion of set, reference vs. computation, assumption, and substitution. Moreover, the book includes philosophically relevant sections on the principle of compositionality, lingua characteristica, epistemology, propositional logic, intuitionism, and the law of excluded middle. Ample historical references are given throughout the book.

Over the past several years, a great deal of research has been devoted to the use of information technology by small businesses. One technological tool now used to boost company success is Web presence enhancement in alignment with business strategy. ""Effective Web Presence Solutions for Small Businesses: Strategies for Successful Implementation"" is the first book to provide small businesses with a holistic approach to implementing their Web presence through identification of Web site content that matches their business strategy. A valuable read for small business owners as well as academicians and researchers, this book connects the various issues involved in the planning and execution of successful Web sites for small businesses.

The first textbook ever to cover multi-relational data mining and inductive logic programming, this book fully explores logical and relational learning. Ideal for graduate students and researchers, it also looks at statistical relational learning.

Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments in optimization techniques for addressing several computational chemistry and biology problems. A tantalizing problem that cuts across the fields of computational chemistry, biology, medicine, engineering and applied mathematics is how proteins fold. Global and local optimization provide a systematic framework of conformational searches for the prediction of three-dimensional protein structures that represent the global minimum free energy, as well as low-energy biomolecular conformations. Each contribution in the book is essentially expository in nature, but of scholarly treatment. The topics covered include advances in local and global optimization approaches for molecular dynamics and modeling, distance geometry, protein folding, molecular structure refinement, protein and drug design, and molecular and peptide docking. Audience: The book is addressed not only to researchers in mathematical programming, but to all scientists in various disciplines who use optimization methods in solving problems in computational chemistry and biology.

Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.

Videogames and Agency explores the trend in videogames and their marketing to offer a player higher volumes, or even more distinct kinds, of player freedom. The book offers a new conceptual framework that helps us understand how this freedom to act is discussed by designers, and how that in turn reflects in their design principles. What can we learn from existing theories around agency? How do paratextual materials reflect design intention with regards to what the player can and cannot do in a videogame? How does game design shape the possibility space for player action? Through these questions and selected case studies that include AAA and independent games alike, the book presents a unique approach to studying agency that combines game design, game studies, and game developer discourse. By doing so, the book examines what discourses around player action, as well as a game's design can reveal about the nature of agency and videogame aesthetics. This book will appeal to readers specifically interested in videogames, such as game studies scholars or game designers, but also to media studies students and media and screen studies scholars less familiar with digital games.