New Books

CoverTitleYear
With the fragmented landscape of mobile device platforms, tools for creating cross-platform apps have sprung up as varied and numerous as apps themselves. Most of these tools create their own APIs and translate them into the mobile platform APIs, which works fine for some. And then there’s Xamarin.Forms, more » which creates mappings from its C# classes and controls directly to the native platform APIs and controls. With Xamarin.Forms Succinctly by Derek Jensen, you will learn how to use Xamarin.Forms to build a common code base that can be deployed to iOS, Android, and Windows Phone devices, coming as close as possible as to the mythical “write once, run everywhere.” You’ll also learn how to build UIs with some of the 40 controls included in Xamarin.Forms, and even how to access native APIs that aren’t exposed by Xamarin.Forms. « less
2017
This book investigates processes for the prototyping of user interfaces for mobile apps, and describes the development of new concepts and tools that can improve the prototype driven app development in the early stages. It presents the development and evaluation of a new requirements catalogue for prototyping more » mobile app tools that identifies the most important criteria such tools should meet at different prototype-development stages. This catalogue is not just a good point of orientation for designing new prototyping approaches, but also provides a set of metrics for a comparing the performance of alternative prototyping tools. In addition, the book discusses the development of Blended Prototyping, a new approach for prototyping user interfaces for mobile applications in the early and middle development stages, and presents the results of an evaluation of its performance, showing that it provides a tool for teamwork-oriented, creative prototyping of mobile apps in the early design stages. « less
2017
This book provides a practically-oriented introduction to high-level programming language implementation. It demystifies what goes on within a compiler and stimulates the reader's interest in compiler design, an essential aspect of computer science. Programming language analysis and translation techniques more » are used in many software application areas. A Practical Approach to Compiler Constructioncovers the fundamental principles of the subject in an accessible way. It presents the necessary background theory and shows how it can be applied to implement complete compilers. A step-by-step approach, based on a standard compiler structure is adopted, presenting up-to-date techniques and examples. Strategies and designs are described in detail to guide the reader in implementing a translator for a programming language. A simple high-level language, loosely based on C, is used to illustrate aspects of the compilation process. Code examples in C are included, together with discussion and illustration of how this code can be extended to cover the compilation of more complex languages. Examples are also given of the use of theflexandbisoncompilerconstruction tools. Lexical and syntax analysis is covered in detail together with a comprehensive coverage of semantic analysis, intermediate representations, optimisation and code generation. Introductory material on parallelisation is also included. Designed for personal study as well as for use in introductory undergraduate and postgraduate courses in compiler design, the author assumes that readers have a reasonable competence in programming in any high-level language. « less
2017
Advances in Computer Vision and Pattern Recognition
This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction. Topics and features: more » presents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning; describes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications; reviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications; discusses attempts to build a vocabulary of visual attributes; explores the connections between visual attributes and natural language; provides contributions from an international selection of world-renowned scientists, covering both theoretical aspects and practical applications. « less
2017
An Environment of Computational Intelligence
This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration more » and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike. The area itself has opened up promising new directions of fundamental and applied research and has led to interesting applications, especially those addressing the immediate need to deal with large repositories of data and building tangible, user-centric models of relationships in data. Data is the lifeblood of today’s knowledge-driven economy.Numerous data science models are oriented towards end users and along with the regular requirements for accuracy (which are present in any modeling), come the requirements for ability to process huge and varying data sets as well as robustness, interpretability, and simplicity (transparency). Computational intelligence with its underlying methodologies and tools helps address data analytics needs.The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems. « less
2017
Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming more » in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions. Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses. « less
2017
Methodologies and Applications
This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential more » new developments in the field. The continued and rapid advancement of modern technology now allows scientists to collect data of increasingly unprecedented size and complexity. Examples include epigenomic data, genomic data, proteomic data, high-resolution image data, high-frequency financial data, functional and longitudinal data, and network data. Simultaneous variable selection and estimation is one of the key statistical problems involved in analyzing such big and complex data. The purpose of this book is to stimulate research and foster interaction between researchers in the area of high-dimensional data analysis. More concretely, its goals are to: 1) highlight and expand the breadth of existing methods in big data and high-dimensional data analysis and their potential for the advancement of both the mathematical and statistical sciences; 2) identify important directions for future research in the theory of regularization methods, in algorithmic development, and in methodologies for different application areas; and 3) facilitate collaboration between theoretical and subject-specific researchers. « less
2017
As a step toward ultimate low-power computing, this book introduces normally-off computing, which involves inactive components of computer systems being aggressively powered off with the help of new non-volatile memories (NVMs). Because the energy consumption of modern information devices strongly depends more » on both hardware and software, co-design and co-optimization of hardware and software are indispensable to improve energy efficiency. The book discusses various topics including (1) details of low-power technologies including power gating, (2) characteristics of several new-generation NVMs, (3) normally-off computing architecture, (4) important technologies for implementing normally-off computing, (5) three practical implementations: healthcare, mobile information devices, and sensor network systems for smart city applications, and (6) related research and development. Bridging computing methodology and emerging memory devices, the book is designed for both hardware and software designers, engineers, and developers as comprehensive material for understanding normally-off computing. « less
2017
Featuring Excel 2016 for Windows: Microsoft Excel Training for CPAs and Accounting Professionals
The third installment in the Excel University series picks up right where Volume 2 leaves off. In the final exercise of Volume 2, we created a formula-based report that required several features and functions. In Volume 3, we build that same report without writing a single formula. We create it with more » the PivotTable feature. The first section of this volume covers PivotTable basics and concludes with a comparison between formula-based and PivotTable reports. The second section explores various report layout and design options that enable us to replace our formula-based reports with PivotTables when appropriate. In the final section, we consider the reporting process, including efficient ways to get data into our workbooks, how to prepare the data for use, and how to summarize it graphically with PivotCharts and other Excel features. Excel practice files and solutions videos are available online so you can work hands-on as you read through the content. The skills developed in this volume will help you get your work done in less time. « less
2017
Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial framework
ABOUT THIS BOOK * Delve into the undocumented features of the QGIS API * Get a set of user-friendly recipes that can automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes * This book has a complete code upgrade to QGIS 2.18 and 30 new, valuable more » recipes WHO THIS BOOK IS FOR This book is for geospatial analysts who want to learn more about automating everyday GIS tasks as well as programmers responsible for building GIS applications. The short, reusable recipes make concepts easy to understand and combine so you can build larger applications that are easy to maintain. WHAT YOU WILL LEARN * Use Python and QGIS to produce captivating GIS visualizations and build complex map layouts * Find out how to effectively use the poorly-documented and undocumented features of the QGIS Python API * Automate entire geospatial workflows by connecting Python GIS building blocks into comprehensive processes * Create, import, and edit geospatial data on disk or in-memory * Change QGIS settings programmatically to control default behavior * Automatically generate PDF map books * Build dynamic forms for field input IN DETAIL QGIS is a desktop geographic information system that facilitates data viewing, editing, and analysis. Paired with the most efficient scripting language―Python, we can write effective scripts that extend the core functionality of QGIS. Based on version QGIS « less
2017