This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage. It provides reliable, concise information on the real benefits, usage and operationalization aspects of utilizing the "Trio Wave" of cloud, analytic and big data. Anyone who thinks that the game changing technology is slow paced needs to think again. This book opens readers' eyes to the fact that the dynamics of global technology and business are changing. Moreover, it argues that businesses must transform themselves in alignment with the Trio Wave if they want to survive and excel in the future. CABology focuses on the art and science of optimizing the business goals to deliver true value and benefits to the customer through cloud, analytic and big data. It offers business of all sizes a structured and comprehensive way of discovering the real benefits, usage and operationalization aspects of utilizing the Trio Wave.

This book explores the ways in which the broad range of technologies that make up the smart city infrastructure can be harnessed to incorporate more playfulness into the day-to-day activities that take place within smart cities, making them not only more efficient but also more enjoyable for the people who live and work within their confines. The book addresses various topics that will be of interest to playable cities stakeholders, including the human-computer interaction and game designer communities, computer scientists researching sensor and actuator technology in public spaces, urban designers, and (hopefully) urban policymakers. This is a follow-up to another book on Playable Cities edited by Anton Nijholt and published in 2017 in the same book series, Gaming Media and Social Effects.

This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvagar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in "big data" situations, with particular reference to genomic applications. The contributors, who are among the most prominent researchers on the theory of statistics for high dimensional inference, present new theories and methods, as well as challenging applications and computational solutions. Specific themes include, among others, variable selection and screening, penalised regression, sparsity, thresholding, low dimensional structures, computational challenges, non-convex situations, learning graphical models, sparse covariance and precision matrices, semi- and non-parametric formulations, multiple testing, classification, factor models, clustering, and preselection. Highlighting cutting-edge research and casting light on future research directions, the contributions will benefit graduate students and researchers in computational biology, statistics and the machine learning community.

An increasing amount of research is being developed in the area where technology and humans meet. The success or failure of technologies and the question whether technology helps humans to fulfill their goals or whether it hinders them is in most cases not a technical one.User Perception and Influencing Factors of Technology in Everyday Life addresses issues of human and technology interaction. The research in this work is interdisciplinary, ranging from more technical subjects such as computer science, engineering, and information systems, to non-technical descriptions of technology and human interaction from the point of view of sociology or philosophy. This book is perfect for academics, researchers, and professionals alike as it presents a set of theories that allow us to understand the interaction of technology and humans and to put it to practical use.

Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives disseminates current information on multimedia retrieval, advances the field of multimedia databases, and educates the multimedia database community. It is a critical text for professionals who are engaged in efforts to understand machine learning techniques for adaptive multimedia retrieval research, design and applications.

Understanding Software Failure Risk: Introduction. Risk Analysis and Management. Software Failure Risk. Software Failure Risk Measurement: A Methodology for Software Failure Risk Measurement. Applying the Methodology to a Commercial Loan System. Applying the Methodology to a Funds Transfer Security System. Applying the Methodology to a Payables Processing System. Software Failure Risk Management: Software Requirements and Design. Software Testing. Software Maintenance. Software Purchase. Index.

This book proposes new algorithms to ensure secured communications and prevent unauthorized data exchange in secured multimedia systems. Focusing on numerous applications' algorithms and scenarios, it offers an in-depth analysis of data hiding technologies including watermarking, cryptography, encryption, copy control, and authentication. The authors present a framework for visual data hiding technologies that resolves emerging problems of modern multimedia applications in several contexts including the medical, healthcare, education, and wireless communication networking domains. Further, it introduces several intelligent security techniques with real-time implementation. As part of its comprehensive coverage, the book discusses contemporary multimedia authentication and fingerprinting techniques, while also proposing personal authentication/recognition systems based on hand images, surveillance system security using gait recognition, face recognition under restricted constraints such as dry/wet face conditions, and three-dimensional face identification using the approach developed here. This book equips perception technology professionals with the latest technologies, techniques, and strategies for multimedia security systems, offering a valuable resource for engineers and researchers working to develop security systems.

New technologies and concepts are constantly being developed within multimedia distribution. In such an ever-evolving environment, academidans, researchers, and professionals of this discipline need access to the most current information about the concepts, issues, trends, and technologies in this emerging field. ""The Handbook of Research on Secure Multimedia Distribution"" provides the latest research on secure multimedia content distribution, embracing a wide variety of aspects and providing a scientifically and scholarly sound treatment of state-of-the-art techniques to students, researchers, and academicians interested or involved in the study, research, use, design, and development of techniques related to multimedia distribution. This title offers: 27 authoritative contributions by over 55 of the world's leading experts on secure multimedia distribution from 17 countries; comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field; more than 960 references to existing literature and research on secure multimedia distribution; a compendium of over 225 key terms with detailed definitions. This title is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It features cross-referencing of key terms, figures, and information pertinent to secure multimedia distribution and free institution-wide access to the online version with the purchase of the print publication.

This book is a selection of peer-reviewed contributions presented at the third Bayesian Young Statisticians Meeting, BAYSM 2016, Florence, Italy, June 19-21. The meeting provided a unique opportunity for young researchers, M.S. students, Ph.D. students, and postdocs dealing with Bayesian statistics to connect with the Bayesian community at large, to exchange ideas, and to network with others working in the same field. The contributions develop and apply Bayesian methods in a variety of fields, ranging from the traditional (e.g., biostatistics and reliability) to the most innovative ones (e.g., big data and networks).

This book presents selected papers from the 3rd International Workshop on Computational Engineering held in Stuttgart from October 6 to 10, 2014, bringing together innovative contributions from related fields with computer science and mathematics as an important technical basis among others. The workshop discussed the state of the art and the further evolution of numerical techniques for simulation in engineering and science. We focus on current trends in numerical simulation in science and engineering, new requirements arising from rapidly increasing parallelism in computer architectures, and novel mathematical approaches. Accordingly, the chapters of the book particularly focus on parallel algorithms and performance optimization, coupled systems, and complex applications and optimization.

Auf der Grundlage aktueller Entwicklungen der Wirtschaftsinformatik stellen die Autoren Konzepte dar, die als Richtlinie fA1/4r die kA1/4nftige Entwicklung von einem die operationalen Systeme, Data Warehouse-, Informations-, Experten- und Data Mining Systeme umfassenden Anwendungssystem dienen kAnnen.
Neben notwendigen theoretischen Aspekten wird basierend auf der umfangreichen praktischen Erfahrung der Autoren in der Anwendungsentwicklung fA1/4r Kreditinstitute ein konkreter Praxisbezug hergestellt. Die Autoren untermauern ihre Betrachtungen heutiger und kA1/4nftiger Anwendungsentwicklungen sowohl mit den theoretischen Grundlagen als auch mit dem praktischen Nutzen der Methoden. Mit konkretem Praxisbezug werden flexible operationale Systeme erlAutert und eine optimale Informationsversorgung der EntscheidungstrAger aufgezeigt. AussagefAhige Grafiken machen das Buch fA1/4r jeden Interessierten verstAndlich.

Here's the first focused discussion of issues and technology in developing networked multimedia systems. This book includes a unique explanation of color specification and its role in achieving high picture quality, high compression ratio and high information retrieval performance, plus valuable coverage of principles and techniques of multimedia information indexing and retrieval critical for future systems.

This book discusses action-oriented, concise and easy-to-communicate goals and challenges related to quality, reliability, infocomm technology and business operations. It brings together groundbreaking research in the area of software reliability, e-maintenance and big data analytics, highlighting the importance of maintaining the current growth in information technology (IT) adoption in businesses, while at the same time proposing process innovations to ensure sustainable development in the immediate future. In its thirty-seven chapters, it covers various areas of e-maintenance solutions, software architectures, patching problems in software reliability, preventive maintenance, industrial big data and reliability applications in electric power systems. The book reviews the ways in which countries currently attempt to resolve the conflicts and opportunities related to quality, reliability, IT and business operations, and proposes that internationally coordinated research plans are essential for effective and sustainable development, with research being most effective when it uses evidence-based decision-making frameworks resulting in clear management objectives, and is organized within adaptive management frameworks. Written by leading experts, the book is of interest to researchers, academicians, practitioners and policy makers alike who are working towards the common goal of making business operations more effective and sustainable.

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.

This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest developments and trends in statistical inference for students who do not have an advanced mathematical and statistical background. The topics discussed in the book are fundamental and common to many fields of statistical inference and thus serve as a point of departure for in-depth study. The book is divided into eight chapters: Chapter 1 provides an overview of topics on sufficiency and completeness, while Chapter 2 briefly discusses unbiased estimation. Chapter 3 focuses on the study of moments and maximum likelihood estimators, and Chapter 4 presents bounds for the variance. In Chapter 5, topics on consistent estimator are discussed. Chapter 6 discusses Bayes, while Chapter 7 studies some more powerful tests. Lastly, Chapter 8 examines unbiased and other tests. Senior undergraduate and graduate students in statistics and mathematics, and those who have taken an introductory course in probability, will greatly benefit from this book. Students are expected to know matrix algebra, calculus, probability and distribution theory before beginning this course. Presenting a wealth of relevant solved and unsolved problems, the book offers an excellent tool for teachers and instructors who can assign homework problems from the exercises, and students will find the solved examples hugely beneficial in solving the exercise problems.

UPDATED EDITION FEATURING VERSION 2.0 CONTENT! Dreaming of an island getaway? Now you can create the perfect island paradise in Animal Crossing: New Horizons with the Animal Crossing New Horizons Residents' Handbook. Newly updated with version 2.0 content, this essential unofficial guide contains everything you need to prepare for your new island life, including tips on how to: - build and design your dream home - gather resources and recipe cards to craft and customize tools, furniture and other decorative items - populate your island with friendly animal villagers - each with their own, often very funny, personalities - help Blathers fill your island's museum with fossils, critters and art - connect with up to 7 friends and share your personal paradise online What's more, Animal Crossing New Horizons Residents' Handbook contains plenty of inspirational landscaping and terraforming ideas, insider information and guides to characters, resources and special events. It's the perfect book to help you live your best deserted island life!

Managing multimedia semantics is a complex task because content creators and archivists describe and interpret semantics associated with the multimedia content in several ways, depending on the context and use of the information. Disciplines such as computer vision and pattern recognition, multimedia database management and modeling, and film theory and semiotics have contributed ideas, theories and techniques for Managing Multimedia Semantics. Managing Multimedia Semantics effectively ties together current approaches and future trends in managing multimedia semantics. In one comprehensive volume, this book assembles research problems, theoretical frameworks, tools and technologies required for designing multimedia information systems. Managing Multimedia Semantics is aimed at researchers and practitioners involved in designing and managing complex multimedia information systems. It also serves as a reference text for graduate students taking a course in designing multimedia information systems.

This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human-computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human-machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors' previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.

Power up your proficiency with this genius guide to popular Microsoft 365 apps Do you want to make your Microsoft 365 account a productivity behemoth? Do you want to squeeze every last bit of awesome from Word, Excel, and PowerPoint and learn a little more about Outlook, too? Microsoft 365 Portable Genius has got you covered. A seasoned tech expert and trainer, author Lisa A. Bucki shows you how to build Word documents, Excel workbooks, and PowerPoint presentations the right way, as well as how to use high-impact design techniques to make your documents pop. This book answers 11 key questions about how to make the most of Microsoft 365, providing genius tips as it leads you through the essentials. You'll learn how to: Tackle common skills like creating files, adding basic content, navigating in a file, making selections, copying and moving content, and saving files Build a new Word document by using outlining, bullets and numbering, columns, and other features for creating and enhancing content Enhance Excel workbook files by organizing data on different sheets, filling entries, creating range names, and entering powerful, accurate formulas Develop a PowerPoint presentation by choosing the right layout for each slide and adding content to placeholders, and then transform it into an on-screen show with transitions and animations Add punchy design and branding by using text formatting, themes, and graphics in your files Use lists, tables, and charts to make data easier to interpret Create, send, reply to, and organize email in Outlook, as well as add contacts Share file contents on paper or digitally Check out the Online Bonus Appendix at Wiley for more genius coverage of topics including additional Excel formula review techniques, essential Excel functions, theme colors and fonts changes, and WordArt Whether you have used Office in the past or are new to its subscription successor Microsoft 365, Microsoft 365 Portable Genius provides the expert guidance you need to work smarter in Microsoft 365.