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Apress, a Springer Nature company, is a publisher dedicated to meeting the information needs of developers, IT professionals, and tech communities worldwide. Our high-quality, practical content helps technology professionals at all levels increase the skills they need to advance in their day-to-day work. Key topics include big data, databases, open source, web development, Java, Python, Apple & Swift, and Microsoft and .NET titles. The growing demand for open source content and open access publishing options in the tech community has led Apress to offer authors and publishing partners the option to publish open access books.

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ApressOpen books are subject to the same solid technical review and publishing processes followed by traditional Apress books.

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Browse results: Found 27

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Android Application Development for the Intel Platform

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ISBN: 9781484201015 9781484201008 Year: Pages: 520 DOI: https://doi.org/10.1007/978-1-4842-0100-8 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:52:01
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The number of Android devices running on Intel processors has increased since Intel and Google announced, in late 2011, that they would be working together to optimize future versions of Android for Intel Atom processors. Today, Intel processors can be found in Android smartphones and tablets made by some of the top manufacturers of Android devices, such as Samsung, Lenovo, and Asus. The increase in Android devices featuring Intel processors has created a demand for Android applications optimized for Intel Architecture: Android Application Development for the Intel® Platform is the perfect introduction for software engineers and mobile app developers. Through well-designed app samples, code samples and case studies, the book teaches Android application development based on the Intel platform—including for smartphones, tablets, and embedded devices—covering performance tuning, debugging and optimization. This book is jointly developed for individual learning by Intel Software College and China Shanghai JiaoTong University.

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Android on x86: An Introduction to Optimizing for Intel® Architecture

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ISBN: 9781430261308 9781430261315 Year: Pages: 380 DOI: https://doi.org/10.1007/978-1-4302-6131-5 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:17:35
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Android on x86: an Introduction to Optimizing for Intel® Architecture serves two main purposes. First, it makes the case for adapting your applications onto Intel’s x86 architecture, including discussions of the business potential, the changing landscape of the Android marketplace, and the unique challenges and opportunities that arise from x86 devices. The fundamental idea is that extending your applications to support x86 or creating new ones is not difficult, but it is imperative to know all of the technicalities. This book is dedicated to providing you with an awareness of these nuances and an understanding of how to tackle them. Second, and most importantly, this book provides a one-stop detailed resource for best practices and procedures associated with the installation issues, hardware optimization issues, software requirements, programming tasks, and performance optimizations that emerge when developers consider the x86 Android devices. Optimization discussions dive into native code, hardware acceleration, and advanced profiling of multimedia applications. The authors have collected this information so that you can use the book as a guide for the specific requirements of each application project. This book is not dedicated solely to code; instead it is filled with the information you need in order to take advantage of x86 architecture. It will guide you through installing the Android SDK for Intel Architecture, help you understand the differences and similarities between processor architectures available in Android devices, teach you to create and port applications, debug existing x86 applications, offer solutions for NDK and C++ optimizations, and introduce the Intel Hardware Accelerated Execution Manager. This book provides the most useful information to help you get the job done quickly while utilizing best practices.

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Building the Infrastructure for Cloud Security: A Solutions View

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ISBN: 9781430261452 9781430261469 Year: Pages: 244 DOI: https://doi.org/10.1007/978-1-4302-6146-9 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:09:52
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For cloud users and providers alike, security is an everyday concern, yet there are very few books covering cloud security as a main subject. This book will help address this information gap from an Information Technology solution and usage-centric view of cloud infrastructure security. The book highlights the fundamental technology components necessary to build and enable trusted clouds. Here also is an explanation of the security and compliance challenges organizations face as they migrate mission-critical applications to the cloud, and how trusted clouds, that have their integrity rooted in hardware, can address these challenges. This book provides: Use cases and solution reference architectures to enable infrastructure integrity and the creation of trusted pools leveraging Intel Trusted Execution Technology (TXT). Trusted geo-location management in the cloud, enabling workload and data location compliance and boundary control usages in the cloud. OpenStack-based reference architecture of tenant-controlled virtual machine and workload protection in the cloud. A reference design to enable secure hybrid clouds for a cloud bursting use case, providing infrastructure visibility and control to organizations.

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Computer Vision Metrics: Survey, Taxonomy, and Analysis

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ISBN: 9781430259299 9781430259305 Year: Pages: 508 DOI: https://doi.org/10.1007/978-1-4302-5930-5 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 18:24:28
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Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing ‘how-to’ source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.

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DevOps for Digital Leaders: Reignite Business with a Modern DevOps-Enabled Software Factory

Authors: --- ---
ISBN: 9781484218419 9781484218426 Year: Pages: 173 DOI: https://doi.org/10.1007/978-1-4842-1842-6 Language: English
Publisher: Apress Grant: CA Technologies
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:59:08
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Learn to design, implement, measure, and improve DevOps programs that are tailored to your organization. This concise guide assists leaders who are accountable for the rapid development of high-quality software applications. In DevOps for Digital Leaders, deep collective experience on both sides of the dev–ops divide informs the global thought leadership and penetrating insights of the authors, all three of whom are cross-portfolio DevOps leaders at CA Technologies. Aruna Ravichandran, Kieran Taylor, and Peter Waterhouse analyze the organizational benefits, costs, freedoms, and constraints of DevOps. They chart the coordinated strategy of organizational change, metrics, lean thinking, and investment that an enterprise must undertake to realize the full potential of DevOps and reach the sweet spot where accelerating code deployments drive increasing customer satisfaction, revenue, and profitability. Digital leaders are charged to bridge the dev–ops disconnect if their organizations are to survive and flourish in a business world increasingly differentiated by the degree to which dynamic application software development harmonizes with operational resilience and reliability. This short book applies the DevOps perspective to the competitive challenge, faced by every high-performance IT organization today, of integrating and automating open source, cloud, and enterprise tools, processes, and techniques across the software development life cycle from requirements to release. What You Will Learn: Remove dependencies and constraints so that parallel practices can accelerate the development of defect-free software Automate continuous delivery across the software life cycle to eliminate release bottlenecks, manual labor waste, and technical debt accumulation Generate virtualized production-style testing of applications through real-time behavioral analytics Adopt agile practices so operations teams can support developer productivity with automated feedback, streamline infrastructure monitoring, spot and resolve operations issues before they impact production, and improve customer experience Identify the DevOps metrics appropriate to your organization and integrate DevOps with your existing best practices and investment Who This Book Is For: IT leaders in large companies and government agencies who have any level of responsibility for the rapid development of high-quality software applications. The secondary readership is members of development and operations teams, security professionals, and service managers.

Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis

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ISBN: 9781430267126 9781430267133 Year: Pages: 368 DOI: https://doi.org/10.1007/978-1-4302-6713-3 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:55:04
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Digital Video Concepts, Methods, and Metrics: Quality, Compression, Performance, and Power Trade-off Analysis is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding, so that readers have sufficient understanding to choose and tune coding parameters for optimum results that would suit their particular needs for quality, compression, speed and power. The practical aspects are many: Uploading video to the Internet is only the beginning of a trend where a consumer controls video quality and speed by trading off various other factors. Open source and proprietary applications such as video e-mail, private party content generation, editing and archiving, and cloud asset management would give further control to the end-user. Digital video is frequently compressed and coded for easier storage and transmission. This process involves visual quality loss due to typical data compression techniques and requires use of high performance computing systems. A careful balance between the amount of compression, the visual quality loss and the coding speed is necessary to keep the total system cost down, while delivering a good user experience for various video applications. At the same time, power consumption optimizations are also essential to get the job done on inexpensive consumer platforms. Trade-offs can be made among these factors, and relevant considerations are particularly important in resource-constrained low power devices. To better understand the trade-offs this book discusses a comprehensive set of engineering principles, strategies, methods and metrics. It also exposes readers to approaches on how to differentiate and rank video coding solutions.

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Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Authors: ---
ISBN: 9781430259893 9781430259909 Year: Pages: 268 DOI: https://doi.org/10.1007/978-1-4302-5990-9 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 16:51:38
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Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions. Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms. Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning.

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Embedded Firmware Solutions: Development Best Practices for the Internet of Things

Authors: --- --- ---
ISBN: 9781484200711 9781484200704 Year: Pages: 224 DOI: https://doi.org/10.1007/978-1-4842-0070-4 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:29:17
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Embedded Firmware Solutions is the perfect introduction and daily-use field guide--for the thousands of firmware designers, hardware engineers, architects, managers, and developers--to Intel’s new firmware direction (including Quark coverage), showing how to integrate Intel® Architecture designs into their plans. Featuring hands-on examples and exercises using Open Source codebases, like Coreboot and EFI Development Kit (tianocore) and Chromebook, this is the first book that combines a timely and thorough overview of firmware solutions for the rapidly evolving embedded ecosystem with in-depth coverage of requirements and optimization.

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Energy Efficient Servers: Blueprints for Data Center Optimization

Authors: --- ---
ISBN: 9781430266372 9781430266389 Year: Pages: 360 DOI: https://doi.org/10.1007/978-1-4302-6638-9 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 17:48:48
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Energy Efficient Servers: Blueprints for Data Center Optimization introduces engineers and IT professionals to the power management technologies and techniques used in energy efficient servers. The book includes a deep examination of different features used in processors, memory, interconnects, I/O devices, and other platform components. It outlines the power and performance impact of these features and the role firmware and software play in initialization and control. Using examples from cloud, HPC, and enterprise environments, the book demonstrates how various power management technologies are utilized across a range of server utilization. It teaches the reader how to monitor, analyze, and optimize their environment to best suit their needs. It shares optimization techniques used by data center administrators and system optimization experts at the world’s most advanced data centers.

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Fashion Figures

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ISBN: 9781484222737 9781484222744 Year: Pages: 109 DOI: https://doi.org/10.1007/978-1-4842-2274-4 Language: English
Publisher: Apress Grant: CA Technologies
Subject: Science (General) --- Education --- Mathematics
Added to DOAB on : 2018-07-27 15:02:02
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Missy Maker is a middle school girl who loves math and fashion. She sees math in everything she does. She tries to hide this from her friends, because she thinks it’s too geeky. Missy hears that the school math club needs more members, but she’s worried about what her friends will think if she joins, and she’s already committed to joining the fashion club. After an epic internal struggle and with the support of her peers and her quirky, loving family, Missy finds that she can be both a Mathlete and a Fashionista. Missy figures out how to bring the two clubs together to help both groups win. In the process, she discovers that she can openly excel in math and science and still be popular with her peers. She also learns how her math and science skills can help her artistic endeavors. Gain an inside perspective on what it’s like when you love math and science and happen to be a girl. Fashion Figures highlights the societal and internal pressures preteen and early-teen girls often face when they excel in these subjects, and it shows strategies for overcoming barriers to being themselves and doing what they love while still fitting in socially.

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