The widespread use of high-speed networks has made the global distribution of digital media contents readily available in an instant. As a result, data hiding was created in an attempt to control the distribution of these copies by verifying or tracking the media signals picked up from copyright information, such as the author or distributor ID. Multimedia Information Hiding Technologies and Methodologies for Controlling Data presents the latest methods and research results in the emerging field of Multimedia Information Hiding (MIH). This comprehensive collection is beneficial to all researchers and engineers working globally in this field and aims to inspire new graduate-level students as they explore this promising field.

Today, e-businesses are adopting pervasive computing with passion but at the same time aware of the operational, ethical, legal, and financial risks involved in it. ""Risk Assessment and Management in Pervasive Computing: Operational, Legal, Ethical, and Financial Perspectives"" examines the implications of pervasive computing from operational, legal, and ethical perspectives so that current and future e-business managers can make responsible decisions about where, when, and how to use this technology. Containing 19 chapters from an international pool of leading experts and field practitioners, this unmatched resource will enhance the awareness of emerging and global issues in e-business risk management.

Several studies have been made to determine the effectiveness of information and communication technologies within small business enterprises, but the focus on e-readiness assessments have been very limited. ""Digital Economies: SMEs and E-Readiness"" provides valuable insights into the current state of the digital economy and the ability of SMEs to leverage information and communication technologies in overcoming their position in the global business market. This innovative collection provides vital information for developing strategic objectives and frameworks that promote economic growth, infrastructure development, capacity building, and educational training.

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren't necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one's own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:* classification using standard machinery (naive bayes; nearest neighbor; SVM)* clustering and vector quantization (largely as in PSCS)* PCA (largely as in PSCS)* variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)* linear regression (largely as in PSCS)* generalized linear models including logistic regression* model selection with Lasso, elasticnet* robustness and m-estimators* Markov chains and HMM's (largely as in PSCS)* EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they've been through that, the next one is easy* simple graphical models (in the variational inference section)* classification with neural networks, with a particular emphasis onimage classification* autoencoding with neural networks* structure learning

This volume contains papers presented at the NATO sponsored Advanced Research Workshop on "Software for Parallel Computation" held at the University of Calabria, Cosenza, Italy, from June 22 to June 26, 1992. The purpose of the workshop was to evaluate the current state-of-the-art of the software for parallel computation, identify the main factors inhibiting practical applications of parallel computers and suggest possible remedies. In particular it focused on parallel software, programming tools, and practical experience of using parallel computers for solving demanding problems. Critical issues relative to the practical use of parallel computing included: portability, reusability and debugging, parallelization of sequential programs, construction of parallel algorithms, and performance of parallel programs and systems. In addition to NATO, the principal sponsor, the following organizations provided a generous support for the workshop: CERFACS, France, C.I.R.A., Italy, C.N.R., Italy, University of Calabria, Italy, ALENIA, Italy, The Boeing Company, U.S.A., CISE, Italy, ENEL - D.S.R., Italy, Alliant Computer Systems, Bull RN Sud, Italy, Convex Computer, Digital Equipment Corporation, Rewlett Packard, Meiko Scientific, U.K., PARSYTEC Computer, Germany, TELMAT Informatique, France, Thinking Machines Corporation.

Continued progress in Speech Technology in the face of ever-increasing demands on the performance levels of applications is a challenge to the whole speech and language science community. Robust recognition and understanding of spontaneous speech in varied environments, good comprehensibility and naturalness of expressive speech synthesis are goals that cannot be achieved without a change of paradigm. This book argues for interdisciplinary communication and cooperation in problem-solving in general, and discusses the interaction between speech and language engineering and phonetics in particular. With a number of reports on innovative speech technology research as well as more theoretical discussions, it addresses the practical, scientific and sometimes the philosophical problems that stand in the way of cross-disciplinary collaboration and illuminates some of the many possible ways forward.

Audience: Researchers and professionals in speech technology and computational linguists.

Photorealistic rendering strives to generate images from computer modeled scenes with an image quality as close to real life as possible. A major issue in rendering is simulation of local and global light reflection in a scene. Both ray tracing and radiosity algorithms capture only some of the possible light reflection phenomena. Recently developed two-pass algorithms combine the ray tracing and radiosity approaches and are able to capture the whole range of light reflection. This book is a collection of papers discussing the latest developments, including a new range of improvements, in stochastic sampling strategies, radiosity form factor calculation, and parallel processing for ray tracing and radiosity. A number of papers on rendering applications in interior design, lighting design, and remote sensing conclude the volume. The contributions are revised versions of papers originally presented at the Second Eurographics Workshop on Rendering, held in Barcelona, Spain, in May 1991. The book fully reflects the state of the art in rendering and presentsa wide variety of novel techniques. It will interest researchers and students in computer graphics, as well as designers who want to apply rendering techniques for realistic simulation in lighting design, interior design, and architecture.

Researchers develop simulation models that emulate real-world situations. While these simulation models are simpler than the real situation, they are still quite complex and time consuming to develop. It is at this point that metamodeling can be used to help build a simulation study based on a complex model. A metamodel is a simpler, analytical model, auxiliary to the simulation model, which is used to better understand the more complex model, to test hypotheses about it, and provide a framework for improving the simulation study. The use of metamodels allows the researcher to work with a set of mathematical functions and analytical techniques to test simulations without the costly running and re-running of complex computer programs. In addition, metamodels have other advantages, and as a result they are being used in a variety of ways: model simplification, optimization, model interpretation, generalization to other models of similar systems, efficient sensitivity analysis, and the use of the metamodel's mathematical functions to answer questions about different variables within a simulation study.

The third volume of The Art of Hearthstone chronicles the artistic achievements that infused the Year of the Mammoth with charm, character, and beauty. Through vivid illustrations and behind-the-scenes interviews with artists and game designers, The Art of Hearthstone draws back the curtain to a massive creative undertaking, showing how a huge team came together to deliver one of Hearthstone's most impressive years ever.

Document imaging is a new discipline in applied computer science. It is building bridges between computer graphics, the world of prepress and press, and the areas of color vision and color reproduction. The focus of this book is of special relevance to people learning how to utilize and integrate such available technology as digital printing or short run color, how to make use of CIM techniques for print products, and how to evaluate related technologies that will become relevant in the next few years. This book is the first to give a comprehensive overview of document imaging, the areas involved, and how they relate. For readers with a background in computer graphics it gives insight into all problems related to putting information in print, a field only very thinly covered in textbooks on computer graphics.

Evolutionary algorithms (EAs) are becoming increasingly attractive for researchers from various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science, economics, etc. This book presents an insightful, comprehensive, and up-to-date treatment of EAs, such as genetic algorithms, differential evolution, evolution strategy, constraint optimization, multimodal optimization, multiobjective optimization, combinatorial optimization, evolvable hardware, estimation of distribution algorithms, ant colony optimization, particle swarm optimization, artificial immune systems, artificial life, genetic programming, etc.

It emphasises the initiative ideas of the algorithm, contains discussions in the contexts, and suggests further readings and possible research projects. All the methods form a pedagogical way to make EAs easy and interesting.

This textbook also introduces the applications of EAs as many as possible. At least one real-life application is introduced by the end of almost every chapter. The authors focus on the kernel part of applications, such as how to model real-life problems, how to encode and decode the individuals, how to design effective search operators according to the chromosome structures, etc.

This textbook adopts pedagogical ways of making EAs easy and interesting. Its methods include an introduction at the beginning of each chapter, emphasising the initiative, discussions in the contexts, summaries at the end of every chapter, suggested further reading, exercises, and possible research projects.

Introduction to Evolutionary Algorithms will enable students to:

establish a strong background on evolutionary algorithms;

appreciate the cutting edge of EAs;

perform their own research projects by simulating the application introduced in the book; and

apply their intuitive ideas to academic search.

This book is aimed at senior undergraduate students or first-year graduate students as a textbook or self-study material."

As this comprehensive and multi-disciplinary anthology makes clear, virtuality has a pedigree that pre-dates the computer age and modern virtual worlds, a pedigree that can be traced back to classical mythology and beyond. Equally, the concept of virtuality is not the province of one field of study alone but is the foundation and driving force of many, both theoretical and applied. Our conceptualizations and applications of virtuality are multiple, as is shown across the nine sections of the book that move from philosophy to technologies and applications before returning to philosophy again for a discussion of the utopias and dystopias of virtuality. The almost 50 essays contained within range freely across subjects that include the potential of virtuality, ethics, virtuality and self, presence and immersion, virtual emotions, image, sound and literature, computer games, AI and A-Life, Augmented Reality and Real Virtuality, law and economics, medical and military applications, religion, and cybersex. Throughout, contributors discuss differences between virtuality, reality, and actuality, in debates filtered through the lenses of the disciplines represented here, and speculate on future directions. It is not at all clear that there are differences and, if such distinctions are to be found, the boundaries between virtuality, reality, and actuality continually shift as ideas, modes of organization, and behaviors constantly flow from one to the other regardless of direction. The Handbook presents no unified definition of virtuality to comfort the reader, rather a multiplicity of questions and approaches underpinned by provocative statements that should further fuel the debates surrounding our notions of virtuality.

The recent rapid advances in wireless technologies have created a demand for high quality multimedia applications and services. These advanced multimedia applications give rise to a new set of challenges in providing Quality of Service (QoS) when delivering these services over wireless networks. The Handbook of Research on Wireless Multimedia: Quality of Service and Solutions highlights and discusses the underlying QoS issues that arise in the delivery of real-time multimedia services over wireless networks. This cutting-edge book presents state-of-the-art solutions from leading researchers active in the field to address the QoS issues for different wireless multimedia applications.

In the last decade parallel computing has been put forward as the only computational answer to the increasing computational needs arising from very large and complex fluid dynamic problems. Considerable efforts are being made to use parallel computers efficiently to solve several fluid dynamic problems originating in aerospace, climate modelling and environmental applications.

Parallel CFD Conferences are international and aim to increase discussion among researchers worldwide.

Topics covered in this particular book include typical CFD areas such as turbulence, Navier-Stokes and Euler solvers, reactive flows, with a good balance between both university and industrial applications. In addition, other applications making extensive use of CFD such as climate modelling and environmental applications are also included.

Anyone involved in the challenging field of Parallel Computational Fluid Dynamics will find this volume useful in their daily work.

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Key features: - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background.

This monograph provides, for the first time, a most comprehensive statistical account of composite sampling as an ingenious environmental sampling method to help accomplish observational economy in a variety of environmental and ecological studies. Sampling consists of selection, acquisition, and quantification of a part of the population. But often what is desirable is not affordable, and what is affordable is not adequate. How do we deal with this dilemma? Operationally, composite sampling recognizes the distinction between selection, acquisition, and quantification. In certain applications, it is a common experience that the costs of selection and acquisition are not very high, but the cost of quantification, or measurement, is substantially high. In such situations, one may select a sample sufficiently large to satisfy the requirement of representativeness and precision and then, by combining several sampling units into composites, reduce the cost of measurement to an affordable level. Thus composite sampling offers an approach to deal with the classical dilemma of desirable versus affordable sample sizes, when conventional statistical methods fail to resolve the problem. Composite sampling, at least under idealized conditions, incurs no loss of information for estimating the population means. But an important limitation to the method has been the loss of information on individual sample values, such as the extremely large value. In many of the situations where individual sample values are of interest or concern, composite sampling methods can be suitably modified to retrieve the information on individual sample values that may be lost due to compositing. In this monograph, we present statistical solutions to these and other issues that arise in the context of applications of composite sampling. Content Level Research

This is a textbook for undergraduate students of chemical and biological engineering. It is also useful for graduate students and professional engineers and numerical analysts. All reactive chemical and biological processes are highly nonlinear allowing for multiple steady states. This book addresses the bifurcation characteristics of chemical and biological processes as the general case and treats systems with a unique steady state as special cases. It uses a system approach which is the most efficient for knowledge organization and transfer. The book develops mathematical models for many commercial processes utilizing the mass, momentum, and heat-balance equations coupled to the rates of the processes that take place within the boundaries of the system. design and optimization of the chemical and biological industrial equipment and plants, such as single and batteries of CSTRs, porous and nonporous catalyst pellets and their effectiveness factors, tubular catalytic and noncatalytic reactors, fluidized bed catalytic reactors, coupled fluidized beds such as reactor-regenerator systems (industrial fluid catalytic cracking units), fluidized bed reformers for producing hydrogen or syngas, fermenters for fuel ethanol, simulation of the brain acetylcholine neurocycle, anaerobic digesters, co and countercurrent absorption columns, and many more. The book also includes verification against industrial data. The book's CD contains nearly 100 MATLAB programs which are meant to teach the readers how to solve a variety of important chemical and biological engineering problems. The algorithms include solving transcendental and algebraic equations, with and without bifurcation; as well as initial and boundary value ordinary differential equations. Said Elnashaie is Professor of Chemical and Biological Engineering at the University of British Columbia. is a Ph.D. candidate in Applied Mathematics at Auburn with a B.S. in Chemical Engineering. The active interaction of these authors has brought about this new and modern interdisciplinary book

Distrust. Division. Disparity. Is our world in disrepair? Ethics and civics have always mattered, but perhaps they matter now more than ever before. Recently, with the rise of online teaching and movements like #PlayApartTogether, games have become increasingly acknowledged as platforms for civic deliberation and value sharing. We the Gamers explores these possibilities by examining how we connect, communicate, analyze, and discover when we play games. Combining research-based perspectives and current examples, this volume shows how games can be used in ethics, civics, and social studies education to inspire learning, critical thinking, and civic change. We the Gamers introduces and explores various educational frameworks through a range of games and interactive experiences including board and card games, online games, virtual reality and augmented reality games, and digital games like Minecraft, Executive Command, Keep Talking and Nobody Explodes, Fortnite, When Rivers Were Trails, Politicraft, Quandary, and Animal Crossing: New Horizons. The book systematically evaluates the types of skills, concepts, and knowledge needed for civic and ethical engagement, and details how games can foster these skills in classrooms, remote learning environments, and other educational settings. We the Gamers also explores the obstacles to learning with games and how to overcome those obstacles by encouraging equity and inclusion, care and compassion, and fairness and justice. Featuring helpful tips and case studies, We the Gamers shows teachers the strengths and limitations of games in helping students connect with civics and ethics, and imagines how we might repair and remake our world through gaming, together.

This book promotes the experimental mathematics approach in the context of secondary mathematics curriculum by exploring mathematical models depending on parameters that were typically considered advanced in the pre-digital education era. This approach, by drawing on the power of computers to perform numerical computations and graphical constructions, stimulates formal learning of mathematics through making sense of a computational experiment. It allows one (in the spirit of Freudenthal) to bridge serious mathematical content and contemporary teaching practice. In other words, the notion of teaching experiment can be extended to include a true mathematical experiment. When used appropriately, the approach creates conditions for collateral learning (in the spirit of Dewey) to occur including the development of skills important for engineering applications of mathematics. In the context of a mathematics teacher education program, thebook addresses a call for the preparation of teachers capable of utilizing modern technology tools for the modeling-based teaching of mathematics with a focus on methods conducive to the improvement of the whole STEM education at the secondary level. By the same token, using the book's pedagogy and its mathematical content in a pre-college classroom can assist teachers in introducing students to the ideas that develop the foundation of engineering profession."