The pillars of the bridge on the cover of this book date from the Roman Empire and they are in daily use today, an example of conventional engineering at its best. Modern commodity operating systems are examples of current system programming at its best, with bugs discovered and fixed on a weekly or monthly basis. This book addresses the question of whether it is possible to construct computer systems that are as stable as Roman designs. The authors successively introduce and explain specifications, constructions and correctness proofs of a simple MIPS processor; a simple compiler for a C dialect; an extension of the compiler handling C with inline assembly, interrupts and devices; and the virtualization layer of a small operating system kernel. A theme of the book is presenting system architecture design as a formal discipline, and in keeping with this the authors rely on mathematics for conciseness and precision of arguments to an extent common in other engineering fields. This textbook is based on the authors' teaching and practical experience, and it is appropriate for undergraduate students of electronics engineering and computer science. All chapters are supported with exercises and examples.

This textbook teaches how to design working systems at very high frequencies. It is designed to introduce computer engineers to the design of extremely high speed digital systems. Combining an intuitive, physics-based approach to electromagnetics with a focus on solving realistic problems, the author presents concepts that are essential for computer and electrical engineers today. The book emphasizes an intuitive approach to electromagnetics, and then uses this foundation to show the reader how both physical phenomena can cause signals to propagate incorrectly; and how to solve commonly encountered issues. Emphasis is placed on real problems that the author has encountered in his professional career, integrating problem-solving strategies and real signal-integrity case studies throughout the presentation. Students are challenged to think about managing complex design projects and implementing successful engineering and manufacturing processes. Each chapter includes exercises to test concepts introduced.

Learn how to implement and build a neural network with this non-technical, project-based book as your guide. As you work through the chapters, you'll build an electronics project, providing a hands-on experience in training a network. There are no prerequisites here and you won't see a single line of computer code in this book. Instead, it takes a hardware approach using very simple electronic components. You'll start off with an interesting non-technical introduction to neural networks, and then construct an electronics project. The project isn't complicated, but it illustrates how back propagation can be used to adjust connection strengths or "weights" and train a network. By the end of this book, you'll be able to take what you've learned and apply it to your own projects. If you like to tinker around with components and build circuits on a breadboard, Neural Networks for Electronics Hobbyists is the book for you. What You'll Learn Gain a practical introduction to neural networks Review techniques for training networks with electrical hardware and supervised learning Understand how parallel processing differs from standard sequential programming Who This Book Is For Anyone interest in neural networks, from electronic hobbyists looking for an interesting project to build, to a layperson with no experience. Programmers familiar with neural networks but have only implemented them using computer code will also benefit from this book.

This book is designed for students, professionals and researchers in the field of multimedia and related fields with a need to learn the basics of multimedia systems and signal processing. Emphasis is given to the analysis and processing of multimedia signals (audio, images, and video). Detailed insight into the most relevant mathematical apparatus and transformations used in multimedia signal processing is given. A unique relationship between different transformations is also included, opening new perspectives for defining novel transforms in specific applications. Special attention is dedicated to the compressive sensing area, which has a great potential to contribute to further improvement of modern multimedia systems. In addition to the theoretical concepts, various standard and more recently accepted algorithms for the reconstruction of different types of signals are considered. Additional information and details are also provided to enable a comprehensive analysis of audio and video compression algorithms. Finally, the book connects these principles to other important elements of multimedia systems, such as the analysis of optical media, digital watermarking, and telemedicine. New to this edition: Introduction of the generalization concept to consolidate the time-frequency signal analysis, wavelet transformation, and Hermite transformation Inclusion of prominent robust transformation theory used in the processing of noisy multimedia data as well as advanced multimedia data filtering approaches, including image filtering techniques for impulse noise environment Extended video compression algorithms Detailed coverage of compressive sensing in multimedia applications

Build a custom BimlExpress framework that generates dozens of SQL Server Integration Services (SSIS) packages in minutes. Use this framework to execute related SSIS packages in a single command. You will learn to configure SSIS catalog projects, manage catalog deployments, and monitor SSIS catalog execution and history. Data Integration Life Cycle Management with SSIS shows you how to bring DevOps benefits to SSIS integration projects. Practices in this book enable faster time to market, higher quality of code, and repeatable automation. Code will be created that is easier to support and maintain. The book teaches you how to more effectively manage SSIS in the enterprise environment by drawing on the art and science of modern DevOps practices. What You'll Learn Generate dozens of SSIS packages in minutes to speed your integration projects Reduce the execution of related groups of SSIS packages to a single command Successfully handle SSIS catalog deployments and their projects Monitor the execution and history of SSIS catalog projects Manage your enterprise data integration life cycle through automated tools and utilities Who This Book Is For Database professionals working with SQL Server Integration Services in enterprise environments. The book is especially useful to those readers following, or wishing to follow, DevOps practices in their use of SSIS.

Create robots and other mechanical devices with UBTECH's Jimu Robots kit. This book shows you the high potential for STEM learning with the Jimu Robots, hardware, and software. You'll design a basic and walking creation and bring to life robots of your own. As UBTECH expands their Jimu Robots into the hands of STEM learners and teachers, this book serves as its official companion, providing an introduction to the Jimu Robots wide range of capabilities. In short, The UBTECH Jimu Robots Builder's Guide will provide inspiration and innovative potential to existing users and those who are into the growing tech/maker trend of Jimu Robots. What You'll Learn Use all the latest Jimu Robot pieces and kits Apply practical instructions to build creative Jimu Robot models Improve STEM education with Jimu Robots Assemble creations that users can control via smartphone or tablet Who This Book Is For Educators, makers, tinkerers, and STEM participants

This book constitutes the proceedings of the 14th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2017, held in Hefei, China, in October 2017.The 9 full papers and 10 short papers presented in this book were carefully reviewed and selected from 88 submissions. The papers cover traditional areas of network and parallel computing including parallel applications, distributed algorithms, software environments, and distributed tools.

Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual Studio Code, Postman, and Serverless Framework. You will apply the fundamentals of serverless technology from the ground up, and come away with a greater understanding of its power and how to make it work for you. This book teaches you how to quickly and securely develop applications without the hassle of configuring and maintaining infrastructure. You will learn how to harness serverless technology to rapidly reduce production time and minimize your costs, while still having the freedom to customize your code, without hindering functionality. Upon completion, you will have the knowledge and resources to build your own serverless application hosted in AWS, Azure, or Google Cloud and will have experienced the benefits of event-driven technology for yourself. What You'll Learn Gain a deeper understanding of serverless computing and when to use it Use development tools such as Node.js, Postman, and VS code to quickly set up your serverless development environment and produce applications Apply triggers to your serverless functions that best suit the architecture for the problem the functions are solving Begin building applications across cloud providers that utilize the power of serverless technology Understand best development practices with serverless computing to maintain scalable and practical solutions Code with an agnostic approach to cloud providers to minimize provider dependency Who This Book Is For Any developer looking to expand current knowledge of serverless computing, its applications, and how to architect serverless solutions, or someone just beginning in these areas

GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent explanations that are as valuable as generalized GPU concepts. The book consists of three separate parts; it starts by explaining parallelism using CPU multi-threading in Part I. A few simple programs are used to demonstrate the concept of dividing a large task into multiple parallel sub-tasks and mapping them to CPU threads. Multiple ways of parallelizing the same task are analyzed and their pros/cons are studied in terms of both core and memory operation. Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same performance analysis is repeated. Because the core and memory structures of CPUs and GPUs are different, the results differ in interesting ways. The end goal is to make programmers aware of all the good ideas, as well as the bad ideas, so readers can apply the good ideas and avoid the bad ideas in their own programs. Part III of the book provides pointer for readers who want to expand their horizons. It provides a brief introduction to popular CUDA libraries (such as cuBLAS, cuFFT, NPP, and Thrust),the OpenCL programming language, an overview of GPU programming using other programming languages and API libraries (such as Python, OpenCV, OpenGL, and Apple's Swift and Metal,) and the deep learning library cuDNN.

Gain a deeper understanding of how Raspberry Pi works to get the results you want right in the palm of your hand. This book helps you understand the right connections and software to drive your Raspberry Pi into opening the worlds of programming, electronic experiments, system control, digital imaging, and the Internet of Things to you. You'll discover how to expand your Pi's storage for bigger programs, use its onboard connections to interface with cameras and control devices, printers and scanners. You'll also see how to share information with Windows and Apple computers and mobile devices, and use it away from AC power. You'll be able to turn any HDTV into a media player; stream and share files from desktop and mobile devices; use your Pi for image capture via camera or scanner; and more! Expanding Your Raspberry Pi is your guide to doing almost anything a bigger computer can do - if you're ready for the challenge. What You'll Learn Connect, use, and manage mass storage devices for greater versatility Link with desktop, laptop, and mobile devices using the Pi's built-in Wi-Fi and Bluetooth features Share resources from your Pi with desktop and mobile devices Capture video and still photos with your Pi Who This Book Is ForNetwork administrators: Connect Raspberry Pi devices to other devices on a wired or wireless network for media streaming, file serving, or print serving Teachers: Use Raspberry Pi to teach students how to connect different types of computers and operating systems with each other. IT workers: Use Raspberry Pi with your existing printers, scanners, webcams, and home network

Develop apps and games using the Leap Motion sensor. This book starts with a brief introduction to Leap Motion, then covers getting the Leap Motion working and setting up a Leap Motion development environment. Leap Motion for Developers also covers the life cycle of how you interact with Leap Motion and the workflow of making a complete app. You'll see how to use different programming languages for simple and steady development. The next part of the book walks through the basics of Leap Motion with Python and Java. We will then work on using Leap Motion with Unity, where we will build an app using Unity and then add different functionality to it. In the last part we cover Unreal 4, Processing, and JavaScript for Leap Motion. What You Will Learn Look at the basics of Leap Motion Develop apps for the Leap Motion sensor See how different languages work with Leap Motion Discover the future of Leap Motion Who This Book Is For Students, developers, game developers, and tech enthusiasts.

This book constitutes the refereed proceedings of the 12th International Symposium on Applied Reconfigurable Computing, ARC 2016, held in Rio de Janeiro, Brazil, in March 2016. The 20 full papers presented in this volume were carefully reviewed and selected from 47 submissions. They are organized in topical headings named: video and image processing; fault-tolerant systems; tools and architectures; signal processing; and multicore systems. In addition, the book contains 3 invited papers and 8 poster papers on funded RD running and completed projects.

This book constitutes the refereed proceedings of the 13th International Symposium on Applied Reconfigurable Computing, ARC 2017, held in Delft, The Netherlands, in April 2017. The 17 full papers and 11 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They are organized in topical sections on adaptive architectures, embedded computing and security, simulation and synthesis, design space exploration, fault tolerance, FGPA-based designs, neural neworks, and languages and estimation techniques.

This SpringerBrief investigates the performance of semi-blind independent component analysis (ICA) based equalization and carrier frequency offset estimation approaches (CFO) for a number of orthogonal frequency division multiplexing (OFDM) based wireless communication systems. It provides a comprehensive overview of the challenges of channel equalization and frequency synchronization for different wireless systems. The authors present the wireless communication channel and system models. Key existing CFO estimation methods are reviewed, along with a number of the training based and non-training based (blind) channel estimation methods. This is followed by a study of ICA and its applications to OFDM-based wireless communication systems. Later chapters provide a detailed description of recent research on semi-blind CFO estimation and ICA based equalization approaches for various wireless communication systems including multiple-input multiple-output (MIMO) OFDM and coordinated multipoint (CoMP) systems. Semi-blind CFO estimation and equalization structures provide a spectrum-efficient and high-performance solution for high speed wireless communications. This book is suitable for postgraduate students, researchers or professionals in the area of wireless communications.

Through the use of a fictional story, this book details how to build and design robots. Max, the story's main character, is part of an archaeological expedition investigating a newly discovered Mayan pyramid. During the expedition, the team encounters various problems, each solved with the help of a unique robot that Max creates using the Lego Mindstorms NXT kit. Although the book reveals possible robotic solutions and offers detailed information on how to build and program each robot, readers are encouraged to come up with their own. The book includes complete building theory information and provides worksheets for brainstorming.

Silicon-on-Insulator (SOI) technology is widely used in high-performance and low-power semiconductor devices. The SOI wafers have two layers of active silicon (Si), and normally the bottom Si layer is a mere physical structure. The idea of making intelligent pixel detectors by using the bottom Si layer as sensors for X-ray, infrared light, high-energy particles, neutrons, etc. emerged from very early days of the SOI technology. However, there have been several difficult issues with fabricating such detectors and they have not become very popular until recently. This book offers a comprehensive overview of the basic concepts and research issues of SOI radiation image detectors. It introduces basic issues to implement the SOI detector and presents how to solve these issues. It also reveals fundamental techniques, improvement of radiation tolerance, applications, and examples of the detectors. Since the SOI detector has both a thick sensing region and CMOS transistors in a monolithic die, many ideas have emerged to utilize this technology. This book is a good introduction for people who want to develop or use SOI detectors.

Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.

Leverage .NET and Sketch in your Arduino development implementation and integrate it into your .NET program. There are many Arduino models and compatible shields that can be used in Arduino boards. Integrating between an Arduino platform and .NET technology or Sketch can produce more advantages. Arduino Programming using .NET and Sketch shows readers how to do so with practical Arduino projects, such as preparing a development environment, performing sensing and actuating with external devices, implementing Windows Remote Arduino and building a simple IoT program. Use this quick reference to learn the basics of the Arduino platform for multiple models and start your Arduino programming in .NET and Sketch today. What You'll Learn: Learn the basics of the Arduino platform Prepare and set up an Arduino development environment Develop an Arduino program using .NET and Sketch Implement Windows Remote Arduino Build a simple IoT program Who This Book Is For: .NET and Sketch developers who want to learn Arduino programming.

This book constitutes the refereed proceedings of the 23rd International Colloquium on Structural Information and Communication Complexity, SIROCCO 2016, held in Helsinki, Finland in July 2016. The 25 full papers presented were carefully reviewed and selected from 50 submissions. The papers are organized around the following topics: message passing; shared memory; mobile agent; data dissemination and routing.

Pull back the curtain on making fun and innovative costumes and accessories incorporating technologies like low-cost microprocessors, sensors and programmable LEDs. Fashion tech can require skills in design, pattern-making, sewing, electronics, and maybe 3D printing. Besides the tech skills, making a good costume or accessory also requires knowledge of the intangibles of what makes a good costume. This book is a collaboration between two technologists and a veteran teacher, costumer, and choreographer. Regardless of whether you are coming at this from the theater costuming, sewing, or electronics side, the authors will help you get started with the other skills you need. More than just a book of projects (although it has those too), Practical Fashion Tech teaches why things are done a certain way to impart the authors' collective wealth of experience. Whether you need a book for a wearable tech class or you just want to get started making fantastic costumes and wearables on your own, Practical Fashion Tech will get you there. What you will learn: The fundamentals of both the sewing and the technology aspects of wearable tech for fashion How to make a memorable costume that reacts to its wearer or environment Ideas for using this book as a textbook Who this is for: Electronics enthusiasts, hipsters, costume designers, teachers, and students who want to learn how to make fashion or cosplay wearables. Cosplay fans wanting to incorporate sensors and more into their costumes.

Learn how to deploy Raspberry Pi computers in a classroom or lab situation and how to navigate the hardware and software choices you face. Deploying Raspberry Pi in the Classroom equips you with the skills and knowledge to plan and execute a deployment of Raspberry Pi computers in the classroom. Teachers and IT administrators at schools will see how to set up the hardware and software swiftly on your own or with the help of your students. Step-by-step instructions and practical examples walk you through building your Raspberry Pi workstations and your network, managing the computers and the network, and troubleshooting any problems that arise. This book offers several points to involve your students through hands-on activities. These activities are designed to benefit your beginner and older or more able students alike. Make Deploying Raspberry Pi in the Classroom a part of you instructional library today. What you will learn Put an easily-manageable computer on each desk for students to learn Internet use and essential office software skills Image, configure, and plan a classroom deployment of Raspberry Pi computers Manage your classroom Raspberry Pi computers and keeping them up and running smoothly and efficiently Who this book is for Primary audience would be teachers and IT administrators at schools or colleges. It will also appeal to administrators at social clubs or organizations that provide less formal tuition or simply provide Internet access.

Delve into the Broadcom VideoCore GPU used on the Raspberry Pi and master topics such as OpenGL ES and OpenMAX. Along the way, you'll also learn some Dispmanx, OpenVG, and GPGPU programming. The author, Jan Newmarch bumped into a need to do this kind of programming while trying to turn the RPi into a karaoke machine: with the CPU busting its gut rendering MIDI files, there was nothing left for showing images such as karaoke lyrics except for the GPU, and nothing really to tell him how to do it. Raspberry Pi GPU Audio Video Programming scratches his itch and since he had to learn a lot about RPi GPU programming, he might as well share it with you. What started as a side issue turned into a full-blown project of its own; and this stuff is hard. What You'll Learn Use Dispmanx and EGL on Raspberry Pi Work with OpenMAX and its components, state, IL Client Library, * * Buffers, and more on RPi Process images and video on RPi Handle audio on RPi Render OpenMAX to OpenGL on the RPi Play multimedia files on the RPi Use OpenVG for text processing and more Master overlays Who This Book Is For You should be comfortable with C programming and at least some concurrency and thread programming using it. This book is for experienced programmers who are new or learning about Raspberry Pi.

In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

This book constitutes the refereed proceedings of the 13th European Workshop on Computer Performance Engineering, EPEW 2016, held in Chios, Greece, in October 2016. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected from 25 submissions. The papers presented at the workshop reflect the diversity of modern performance engineering, with topics ranging from the analysis of queueing networks and stochastic processes, to performance analysis of computer systems and networks, and even modeling of human behavior.