This book is specially designed to refresh and elevate the level of understanding of the foundational background in probability and distributional theory required to be successful in a graduate-level statistics program. Advanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to the career-focused, applied education at the graduate level. In particular, it focuses on growing fields that will be of potential interest to future M.S. and Ph.D. students, as well as advanced undergraduates heading directly into the workplace: data analytics, statistics and biostatistics, and related areas.

Accelerated Testing and Validation Methods is a cross-disciplinary guide that describes testing and validation tools and techniques throughout the product development process. Alex Porter not only focuses on what information is needed but also on what tools can produce the information in a timely manner. From the information provided, engineers and managers can determine what data is needed from a test and validation program and then how to select the best, most effective methods for obtaining the data.
This book integrates testing and validation methods with a business perspective so readers can understand when, where, and how such methods can be economically justified. Testing and validation is about generating key information at the correct time so that sound business and engineering decisions can be made. Rather than simply describing various testing and validation techniques, the author offers readers guidance on how to select the best tools for a particular need, explains the appropriateness of different techniques to various situations and shows how to deploy them to ensure the desired information is accurately gathered.
* Emphasizes developing a strategy for testing and validation
* Companion website includes example spreadsheets, program source code, case studies, video clips and much more
* Teaches how to design a testing and validation program that deliver information in a timely and cost-effective manner

This handbook provides a comprehensive reference for firmware developers looking to increase their skills and productivity. It addresses each critical step of the development process in detail, including how to optimize hardware design for better firmware. Topics covered include real-time issues, interrupts and ISRs, memory management (including Flash memory), handling both digital and analog peripherals, communications interfacing, math subroutines, error handling, design tools, and troubleshooting and debugging. The companion CD-ROM includes all the code used in the design examples and a searchable ebook version of the text.
This book is not for the beginner, but rather is an in-depth, comprehensive one-volume reference that addresses all the major issues in firmware design and development, including the pertinent hardware issues.
* Included CD-Rom contains all the source code used in the design examples, so engineers can easily use it in their own designs

As today's world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

This book is considered the first extended survey on algorithms and techniques for efficient cohesive subgraph computation. With rapid development of information technology, huge volumes of graph data are accumulated. An availability of rich graph data not only brings great opportunities for realizing big values of data to serve key applications, but also brings great challenges in computation. Using a consistent terminology, the book gives an excellent introduction to the models and algorithms for the problem of cohesive subgraph computation. The materials of this book are well organized from introductory content to more advanced topics while also providing well-designed source codes for most algorithms described in the book. This is a timely book for researchers who are interested in this topic and efficient data structure design for large sparse graph processing. It is also a guideline book for new researchers to get to know the area of cohesive subgraph computation.

Through a systematic view of technologies, researchers are now finding it less complicated to examine, predict, and explain complex interactions between fields such as engineering and computer science. ""Emerging Systems Approaches in Information Technologies: Concepts, Theories, and Applications"" presents innovative research findings utilizing the incorporation of the systems approach into fields such as systems engineering, computer science, and software engineering. Containing philosophical evaluations and issues related to complexity, this publication provides academicians, practitioners, and researchers with the first resource that fully emphasizes the integration of this approach.

Originally designed for interpersonal communication, today mobile devices are capable of connecting their users to a wide variety of Internet-enabled services and applications. Multimodality in Mobile Computing and Mobile Devices: Methods for Adaptable Usability explores a variety of perspectives on multimodal user interface design, describes a variety of novel multimodal applications, and provides real-life experience reports. Containing research from leading international experts, this innovative publication presents core concepts that define multi-modal, multi-channel, and multi-device interactions and their role in mobile, pervasive, and ubiquitous computing.

The importance of semantics has been recognized in different areas of data and information management, including better access, exchange, interoperability, integration, and analysis of data. Semantics of data is about associating meaning to data, understanding what data represents, and improving the value of data. ""Ubiquitous and Pervasive Knowledge and Learning Management: Semantics, Social Networking and New Media to Their Full Potential"" presents an alternative view to ubiquitous and pervasive knowledge, architectural frameworks, and methodological issues, and introduces some of the major techniques and tools developed in the domain of ontology building, analysis, and semantic Web. ""Ubiquitous and Pervasive Knowledge and Learning Management: Semantics, Social Networking and New Media to Their Full Potential"" contributes to the revolutionary domain of semantic Web and information systems in the following aspects: vision, methodologies, tools, and applications.

The Definitive, Practical, Proven Guide to Architecting Modern Software--Fully Updated with New Content on Mobility, the Cloud, Energy Management, DevOps, Quantum Computing, and More Updated with eleven new chapters, Software Architecture in Practice, Fourth Edition, thoroughly explains what software architecture is, why it's important, and how to design, instantiate, analyze, evolve, and manage it in disciplined and effective ways. Three renowned software architects cover the entire lifecycle, presenting practical guidance, expert methods, and tested models for use in any project, no matter how complex. You'll learn how to use architecture to address accelerating growth in requirements, system size, and abstraction, and to manage emergent quality attributes as systems are dynamically combined in new ways. With insights for utilizing architecture to optimize key quality attributes--including performance, modifiability, security, availability, interoperability, testability, usability, deployability, and more--this guide explains how to manage and refine existing architectures, transform them to solve new problems, and build reusable architectures that become strategic business assets. Discover how architecture influences (and is influenced by) technical environments, project lifecycles, business profiles, and your own practices Leverage proven patterns, interfaces, and practices for optimizing quality through architecture Architect for mobility, the cloud, machine learning, and quantum computing Design for increasingly crucial attributes such as energy efficiency and safety Scale systems by discovering architecturally significant influences, using DevOps and deployment pipelines, and managing architecture debt Understand architecture's role in the organization, so you can deliver more value Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

In a digital context, trust is a multifaceted concept, including trust in application usability, trust in information security, and trust in fellow users. Mobile technologies have compounded the impact of such considerations. Trust Management in Mobile Environments: Autonomic and Usable Models explores current advances in digital and mobile computing technologies from the user perspective, evaluating trust models and autonomic trust management. From the recent history of trust in digital environments to prospective future developments, this book serves as a potent reference source for professionals, graduate and post-graduate students, researchers, and practitioners in the field of trust management.

In recent years, the development of distributed systems, in particular the Internet, has been influenced heavily by three paradigms: peer-to-peer, autonomous agents, and service orientation. Developing Advanced Web Services through P2P Computing and Autonomous Agents: Trends and Innovations establishes an understanding of autonomous peer-to-peer Web Service models and developments as well as extends growing literature on emerging technologies. This scholarly publication is an important reference for researchers and academics working in the fields of peer-to-peer computing, Web and grid services, and agent technologies.

Dig deep and master the intricacies of the common language runtime, C#, and .NET development. Led by programming expert Jeffrey Richter, a longtime consultant to the Microsoft .NET team - you'll gain pragmatic insights for building robust, reliable, and responsive apps and components.Fully updated for .NET Framework 4.5 and Visual Studio 2012Delivers a thorough grounding in the .NET Framework architecture, runtime environment, and other key topics, including asynchronous programming and the new Windows RuntimeProvides extensive code samples in Visual C# 2012Features authoritative, pragmatic guidance on difficult development concepts such as generics and threading

This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms. The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks.

Learning Maya, the world's leading 3D animation and effects package, is a challenge, especially for those who want to master Maya's versatile programming features in addition to its built-in tools.
Finally, here is a practical, step-by-step guide that shows how to use Maya to its fullest potential, beginning with the basics. Readers of Complete Maya Programming will first gain a thorough understanding of Maya's inner workings, and then learn how to customize and extend Maya with scripts and plugins that take control and productivity to new levels.
Users new to programming can apply Maya's easy scripting language MEL (Maya Embedded Language), while more advanced users can work with the C++ API (Application Progamming Interface). Both a fundamental tutorial for Maya beginners and a solid reference for experienced developers, Complete Maya Programming is every user's guide to Maya mastery.
* Provides a multitude of real-world examples illustrating applications of Maya programming.
* Demonstrates how to use MEL to control Maya, customize its interface, automate procedures, and more
* Details how to use the C++ API to modify Maya functionality and develop tools and features to meet any need
* Explains when to use MEL, when to use the C++ API, and how to use them together
* Ideal for technical directors, developers, or anyone wishing to to master Maya
* Provides a storehouse of MEL scripts and C++ source code, glossary, and list of resources, available at www.davidgould.com

Model-Driven Domain Analysis and Software Development: Architectures and Functions displays how to effectively map and respond to the real-world challenges and purposes which software must solve. The implications can be far-reaching and apply to domains such as mechatronic, embedded and high risk systems, where failure could cost human lives. It is also important for complex business systems, wherein failures could lead to huge financial losses. This book forms an essential reference for developers and researchers by providing both cases and theories to ensure a strong and suitable domain analysis to support all other efforts when creating and applying software solutions.