The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.
Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details
Do you want to get started with creating your own vehicles, maps, landscapes, and tools that you can use in the game and share with the Farming Simulator community? Then this is the resource for you! With the help of Jason van Gumster, you'll get up and running on everything you need to master 3D modeling and simulation—and have fun while doing it! Inside, you'll find out how to create and edit maps, start using the material panel, customize your mods by adding texture, use the correct file-naming conventions, test your mod in single and multiplayer modes, get a grip on using Vehicle XML, and so much more.
There's no denying that Farming Simulator players love modding—and now there's a trusted, friendly resource to help you take your modding skills to the next level and get even more out of your game. Written in plain English and packed with tons of step-by-step explanations, Farming Simulator Modding For Dummies is a great way to learn the ropes of 3D modeling with the tools available to you in the game. In no time, you'll be wowing your fellow gamesters—and yourself—with custom, kick-butt mods. So what are you waiting for?Includes an easy-to-follow introduction to using the GIANTS 3D modeling tools Explains how to export models to Blender, Maya, 3DS Max, or FBX Provides tips for using the correct image format for textures Details how to use Photoshop and Audacity to create custom mods for Farming Simulator
Whether you're one of the legions of rabid fans of the popular Farming Simulator game or just someone who wants to learn the basics of 3D modeling and animation, you'll find everything you need in this handy guide.
This book is dedicated to all the machine learning and deep learning enthusiasts, data scientists, researchers, and even students who want to perform more accurate, fast machine learning operations with TensorFlow. Those with basic knowledge of programming (Python and C/C++) and math concepts who want to be introduced to the topics of machine learning will find this book useful.What You Will LearnInstall and adopt TensorFlow in your Python environment to solve mathematical problemsGet to know the basic machine and deep learning conceptsTrain and test neural networks to fit your data modelMake predictions using regression algorithmsAnalyze your data with a clustering procedureDevelop algorithms for clustering and data classificationUse GPU computing to analyze big dataIn Detail
Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.
This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.
By the end of this book, you'll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.Style and approach
Get quickly up and running with TensorFlow using this fast-paced guide. You will get to know everything that can be done with TensorFlow and we'll show you how to implement it in your environment. The examples in the book are from the core of the computation industry—something you can connect to and will find familiar.
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithms
Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.
But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.
Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.
Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype.
But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.
Each chapter will cover a different technique in a spreadsheet so you can follow along:Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.
With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned.
This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision.Learn OpenCV data types, array types, and array operationsCapture and store still and video images with HighGUITransform images to stretch, shrink, warp, remap, and repairExplore pattern recognition, including face detectionTrack objects and motion through the visual fieldReconstruct 3D images from stereo visionDiscover basic and advanced machine learning techniques in OpenCV
Microservice technologies are moving quickly. Author Sam Newman provides you with a firm grounding in the concepts while diving into current solutions for modeling, integrating, testing, deploying, and monitoring your own autonomous services. You’ll follow a fictional company throughout the book to learn how building a microservice architecture affects a single domain.Discover how microservices allow you to align your system design with your organization’s goalsLearn options for integrating a service with the rest of your systemTake an incremental approach when splitting monolithic codebasesDeploy individual microservices through continuous integrationExamine the complexities of testing and monitoring distributed servicesManage security with user-to-service and service-to-service modelsUnderstand the challenges of scaling microservice architectures
Raspberry Pi User Guide, 3rdEdition contains everything you need to know to get up and running with Raspberry Pi. This book is the go-to guide for Noobs who want to dive right in. This updated third edition covers the model B+ Raspberry Pi and its software, additional USB ports, and changes to the GPIO, including new information on Arduino and Minecraft on the Pi. You’ll find clear, step-by-step instruction for everything from software installation and configuration to customizing your Raspberry Pi with capability-expanding add-ons. Learn the basic Linux SysAdmin and flexible programming languages that allow you to make your Pi into whatever you want it to be.
The Raspberry Pi was created by the UK Non-profit Raspberry Pi Foundation to help get kids interested in programming. Affordable, portable, and utterly adorable, the Pi exceeded all expectations, introducing millions of people to programming since its creation. The Raspberry Pi User Guide, 3rd Edition helps you and your Pi get acquainted, with clear instruction in easy to understand language.Install software, configure, and connect your Raspberry Pi to other devices Master basic Linux System Admin to better understand nomenclature and conventions Write basic productivity and multimedia programs in Scratch and Python Extend capabilities with add-ons like Gertboard, Arduino, and more
The Raspberry Pi has become a full-fledged phenomenon, popular with tinkerers, hackers, experimenters, and inventors. If you want to get started but aren’t sure where to begin, Raspberry Pi User Guide, 3rd Edition contains everything you need.
Arduino is a programmable circuit board that is being used by everyone from scientists, programmers, and hardware hackers to artists, designers, hobbyists, and engineers in order to add interactivity to objects and projects and experiment with programming and electronics. This easy-to-understand book is an ideal place to start if you are interested in learning more about Arduino's vast capabilities. Featuring an array of cool projects, this Arduino beginner guide walks you through every step of each of the featured projects so that you can acquire a clear understanding of the different aspects of the Arduino board.Introduces Arduino basics to provide you with a solid foundation of understanding before you tackle your first project Features a variety of fun projects that show you how to do everything from automating your garden's watering system to constructing a keypad entry system, installing a tweeting cat flap, building a robot car, and much more Provides an easy, hands-on approach to learning more about electronics, programming, and interaction design for Makers of all ages
Arduino Projects For Dummies is your guide to turning everyday electronics and plain old projects into incredible innovations.
Get Connected! To find out more about Brock Craft and his recent Arduino creations, visit www.facebook.com/ArduinoProjectsForDummies
This new edition is an ideal resource for professional digital system designers, programmers, application developers, and system software developers. It will also be of interest to undergraduate students in Computer Science, Computer Engineering and Electrical Engineering courses in Computer Organization, Computer Design, ranging from Sophomore required courses to Senior Electives.Winner of a 2014 Texty Award from the Text and Academic Authors AssociationIncludes new examples, exercises, and material highlighting the emergence of mobile computing and the cloudCovers parallelism in depth with examples and content highlighting parallel hardware and software topics Features the Intel Core i7, ARM Cortex-A8 and NVIDIA Fermi GPU as real-world examples throughout the book Adds a new concrete example, "Going Faster," to demonstrate how understanding hardware can inspire software optimizations that improve performance by 200 timesDiscusses and highlights the "Eight Great Ideas" of computer architecture: Performance via Parallelism; Performance via Pipelining; Performance via Prediction; Design for Moore's Law; Hierarchy of Memories; Abstraction to Simplify Design; Make the Common Case Fast; and Dependability via RedundancyIncludes a full set of updated and improved exercises
Gruntwork co-founder Yevgeniy (Jim) Brikman walks you through dozens of code examples that demonstrate how to use Terraform’s simple, declarative programming language to deploy and manage infrastructure with just a few commands. Whether you’re a novice developer, aspiring DevOps engineer, or veteran sysadmin, this book will take you from Terraform basics to running a full tech stack capable of supporting a massive amount of traffic and a large team of developers.Compare Terraform to other IAC tools, such as Chef, Puppet, Ansible, and Salt StackUse Terraform to deploy server clusters, load balancers, and databasesLearn how Terraform manages the state of your infrastructure and how it impacts file layout, isolation, and lockingCreate reusable infrastructure with Terraform modulesTry out advanced Terraform syntax to implement loops, if-statements, and zero-downtime deploymentUse Terraform as a team, including best practices for writing, testing, and versioning Terraform code
With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the ARM (mobile computing devices) and x86 (cloud computing) architectures is included.
An online companion Web site provides links to a free version of the DS-5 Community Edition (a free professional quality tool chain developed by ARM), as well as additional advanced content for further study, appendices, glossary, references, and recommended reading.Covers parallelism in depth with examples and content highlighting parallel hardware and software topicsFeatures the Intel Core i7, ARM Cortex-A53, and NVIDIA Fermi GPU as real-world examples throughout the bookAdds a new concrete example, "Going Faster," to demonstrate how understanding hardware can inspire software optimizations that improve performance by 200XDiscusses and highlights the "Eight Great Ideas" of computer architecture: Performance via Parallelism; Performance via Pipelining; Performance via Prediction; Design for Moore's Law; Hierarchy of Memories; Abstraction to Simplify Design; Make the Common Case Fast; and Dependability via Redundancy.Includes a full set of updated exercises
How does the U.S. military train its soldiers for new forms of armed conflict, all within the constraints of diminished defense budgets? Increasingly, the answer is cutting-edge video game technology. Corey Mead shows us training sessions where soldiers undertake multiplayer “missions” that test combat skills, develop unit cohesion, and teach cultural awareness. He immerses himself in 3-D battle simulations so convincing that they leave his heart racing. And he shows how the military, which has shaped American education more than any other force over the last century, fuels the adoption of games as learning tools—and recruitment come-ons. Mead also details how the military uses games to prepare soldiers for their return to the home front and to treat PTSD.
Military-funded researchers were closely involved with the computing advances that led to the invention of the Internet. Now, as Mead proves, we are poised at the brink of a similar explosion in game technology. War Play reveals that many of tomorrow’s teaching tools, therapies, and entertainments can be found in today’s military.
Beginning with digital logic gates and progressing to the design of combinational and sequential circuits, this book uses these fundamental building blocks as the basis for designing an ARM processor. SystemVerilog and VHDL are integrated throughout the text in examples illustrating the methods and techniques for CAD-based circuit design. The companion website includes a chapter on I/O systems with practical examples that show how to use the Raspberry Pi computer to communicate with peripheral devices such as LCDs, Bluetooth radios, and motors.
This book will be a valuable resource for students taking a course that combines digital logic and computer architecture or students taking a two-quarter sequence in digital logic and computer organization/architecture.Covers the fundamentals of digital logic design and reinforces logic concepts through the design of an ARM microprocessor.Features side-by-side examples of the two most prominent Hardware Description Languages (HDLs)—SystemVerilog and VHDL—which illustrate and compare the ways each can be used in the design of digital systems.Includes examples throughout the text that enhance the reader’s understanding and retention of key concepts and techniques.The Companion website includes a chapter on I/O systems with practical examples that show how to use the Raspberry Pi computer to communicate with peripheral devices such as LCDs, Bluetooth radios, and motors. The Companion website also includes appendices covering practical digital design issues and C programming as well as links to CAD tools, lecture slides, laboratory projects, and solutions to exercises.
In this insightful book, three SOA experts provide a down-to-earth explanation of REST and demonstrate how you can develop simple and elegant distributed hypermedia systems by applying the Web's guiding principles to common enterprise computing problems. You'll learn techniques for implementing specific Web technologies and patterns to solve the needs of a typical company as it grows from modest beginnings to become a global enterprise.Learn basic Web techniques for application integrationUse HTTP and the Web’s infrastructure to build scalable, fault-tolerant enterprise applicationsDiscover the Create, Read, Update, Delete (CRUD) pattern for manipulating resourcesBuild RESTful services that use hypermedia to model state transitions and describe business protocolsLearn how to make Web-based solutions secure and interoperableExtend integration patterns for event-driven computing with the Atom Syndication Format and implement multi-party interactions in AtomPubUnderstand how the Semantic Web will impact systems design
If you want to do computational photography and computer vision on Apple's mobile devices, then this book is for you. No previous experience with app development or OpenCV is required. However, basic knowledge of C++ or Objective-C is recommended.What You Will LearnUse Xcode and Interface Builder to develop iOS appsObtain OpenCV's standard modules and build extra modules from sourceControl all the parameters of the iOS device's cameraCapture, save, and share photos and videosAnalyze colors, shapes, and textures in ordinary and specialized photographsBlend and compare images to create special photographic effects and augmented reality toolsDetect faces and morph facial featuresClassify coins and other objectsIn Detail
iOS Application Development with OpenCV 3 enables you to turn your smartphone camera into an advanced tool for photography and computer vision. Using the highly optimized OpenCV library, you will process high-resolution images in real time. You will locate and classify objects, and create models of their geometry. As you develop photo and augmented reality apps, you will gain a general understanding of iOS frameworks and developer tools, plus a deeper understanding of the camera and image APIs.
After completing the book's four projects, you will be a well-rounded iOS developer with valuable experience in OpenCV.Style and approach
The book is practical, creative, and precise. It shows you the steps to create and customize five projects that solve important problems for beginners in mobile app development and computer vision. Complete source code and numerous visual aids are included in each chapter. Experimentation is an important part of the book. You will use computer vision to explore the real world, and then you will refine the projects based on your findings.
3D Printing with Delta Printers contains detailed descriptions of the innovative delta design including unique hardware, software, and maintenance requirements. The book also covers tips for building your own delta printer as well as examples of common enhancements.
This book will enable you to build, configure, and enhance your delta printer. The topics covered will reveal the often-mysterious nuances of the delta design that will enable your printer to compete with the best of what your 3D printer friends can build.
Beginning with digital logic gates and progressing to the design of combinational and sequential circuits, the book uses these fundamental building blocks as the basis for the design of an actual MIPS processor. It provides practical examples of how to interface with peripherals using RS232, SPI, motor control, interrupts, wireless, and analog-to-digital conversion. SystemVerilog and VHDL are integrated throughout the text in examples illustrating the methods and techniques for CAD-based circuit design. There are also additional exercises and new examples of parallel and advanced architectures, practical I/O applications, embedded systems, and heterogeneous computing, plus a new appendix on C programming to strengthen the connection between programming and processor architecture.
This new edition will appeal to professional computer engineers and to students taking a course that combines digital logic and computer architecture.Updated based on instructor feedback with more exercises and new examples of parallel and advanced architectures, practical I/O applications, embedded systems, and heterogeneous computingPresents digital system design examples in both VHDL and SystemVerilog (updated for the second edition from Verilog), shown side-by-side to compare and contrast their strengthsIncludes a new chapter on C programming to provide necessary prerequisites and strengthen the connection between programming and processor architectureCompanion Web site includes links to Xilinx CAD tools for FPGA design, lecture slides, laboratory projects, and solutions to exercisesInstructors can also register at textbooks.elsevier.com for access to: Solutions to all exercises (PDF), Lab materials with solutions, HDL for textbook examples and exercise solutions, Lecture slides (PPT), Sample exams, Sample course syllabus, Figures from the text (JPG, PPT)
From 1991 to 1996, CyberEdge Journal covered these stories and hundreds more. CEJ was read in more than 40 countries by thousands of VR researchers, developers, vendors, and aficionados. Appreciated for its "No VR Hype" attitude, CyberEdge Journal was the publication of record for the VR industry in the 90's. Author Ben Delaney was the Publisher and Editor of CyberEdge Journal, and was one of the most respected commentators and presenters in the field, and went on to publish the industry-defining multi-year market study, The Market for Visual Simulation/Virtual Reality Systems until 2004.
Now that VR is enjoying a renaissance, it's time to understand where it came from, and avoid making the same mistakes that were made in the first golden age of VR, the 1990's. It's also a good time to remember the excitement and sense of adventure that characterized those time.
Sex, Drugs, and Tessellation describes not just some of the hot topics of VR, but also the origins, issues, and solutions that were chronicled in the pages of CyberEdge Journal. Complemented by over 100 photos and drawings, there is a surprisingly contemporary feel to these old articles. In addition, more than a dozen VR pioneers have contributed new reminiscences of their work in VR. Another treat, the book is introduced by one of the acknowledged leaders of VR research and industry, Dr. Thomas Furness, Founding Director of the world-famous Human Interface Technology Laboratory at the University of Washington.
Specialized script packages are introduced and described. Hands-on problems representative of those commonly encountered throughout the data science pipeline are provided, and we guide you in the use of Julia in solving them using published datasets. Many of these scenarios make use of existing packages and built-in functions, as we cover:
1. 1. An overview of the data science pipeline along with an example illustrating the key points, implemented in Julia
2. 2. Options for Julia IDEs
3. 3. Programming structures and functions
4. 4. Engineering tasks, such as importing, cleaning, formatting and storing data, as well as performing data preprocessing
5. 5. Data visualization and some simple yet powerful statistics for data exploration purposes
6. 6. Dimensionality reduction and feature evaluation
7. 7. Machine learning methods, ranging from unsupervised (different types of clustering) to supervised ones (decision trees, random forests, basic neural networks, regression trees, and Extreme Learning Machines)
8. 8. Graph analysis including pinpointing the connections among the various entities and how they can be mined for useful insights.Each chapter concludes with a series of questions and exercises to reinforce what you learned. The last chapter of the book will guide you in creating a data science application from scratch using Julia.
Intended for novices to the world of OpenCV and computer vision, as well as OpenCV veterans that want to learn about what's new in OpenCV 3, this book is useful as a reference for experts and a training manual for beginners, or for anybody who wants to familiarize themselves with the concepts of object classification and detection in simple and understandable terms. Basic knowledge about Python and programming concepts is required, although the book has an easy learning curve both from a theoretical and coding point of view.What You Will LearnInstall and familiarize yourself with OpenCV 3's Python APIGrasp the basics of image processing and video analysisIdentify and recognize objects in images and videosDetect and recognize faces using OpenCVTrain and use your own object classifiersLearn about machine learning concepts in a computer vision contextWork with artificial neural networks using OpenCVDevelop your own computer vision real-life applicationIn Detail
OpenCV 3 is a state-of-the-art computer vision library that allows a great variety of image and video processing operations. Some of the more spectacular and futuristic features such as face recognition or object tracking are easily achievable with OpenCV 3. Learning the basic concepts behind computer vision algorithms, models, and OpenCV's API will enable the development of all sorts of real-world applications, including security and surveillance.
Starting with basic image processing operations, the book will take you through to advanced computer vision concepts. Computer vision is a rapidly evolving science whose applications in the real world are exploding, so this book will appeal to computer vision novices as well as experts of the subject wanting to learn the brand new OpenCV 3.0.0. You will build a theoretical foundation of image processing and video analysis, and progress to the concepts of classification through machine learning, acquiring the technical know-how that will allow you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Finally, the journey will end in the world of artificial neural networks, along with the development of a hand-written digits recognition application.Style and approach
This book is a comprehensive guide to the brand new OpenCV 3 with Python to develop real-life computer vision applications.
Filled with practice questions, CompTIA Cloud Essentials Certification Study Guide (Exam CLO-001) covers what you need to know--and shows you how to prepare--for this challenging exam.100% complete coverage of all official objectives for CLO-001 Exam Readiness Checklist--you're ready for the exam when all objectives on the list are checked off Exam Watch notes call attention to information about, and potential pitfalls in, the exam Two-Minute Drills for quick review at the end of every chapter
Covers all the exam topics, including:
Characteristics of Cloud Services from a Business Perspective * Cloud Computing and Business Value * Technical Perspective/Cloud Types * Steps to Successful Adoption of Cloud Computing * Impact and Changes of Cloud Computing on IT Service Management * Risk and Consequences of Cloud Computing
Electronic content includes:Complete MasterExam practice testing engine, featuring: One practice exam Detailed answers with explanations Score Report performance assessment tool Bonus downloadable MasterExam practice exam
New features of the 2nd Edition:Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms; Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding; Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.
The only book with complete Modelica 3.3 coverage Over one hundred exercises and solutions Examines basic concepts such as cyber-physical, equation-based, object-oriented, system, model, and simulation
This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing.
This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers.New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and moreIncreased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelismTwo new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Printing in Plastic is aimed at creative people comfortable using power tools such as a table saw, circular saw, and drill press. Authors James Kelly and Patrick Hood-Daniel lead you through building a personal fabrication machine based upon a set of blueprints downloaded from their website. Example projects get you started in designing and fabricating your own parts. Bring your handyman skills, and apply patience during the build process. You too can be the proud owner of a personal fabricator—a three-dimensional printer.
Leads you through building a personal fabrication machine capable of creating small parts and objects from plastic Provides example projects to get you started on the road to designing and fabricating your own parts Provides an excellent parent/child, or small group project
Whether it's called physical computing, ubiquitous computing, or the Internet of Things, it's a hot topic in technology: how to channel your inner Steve Jobs and successfully combine hardware, embedded software, web services, electronics, and cool design to create cutting-edge devices that are fun, interactive, and practical. If you'd like to create the next must-have product, this unique book is the perfect place to start.
Both a creative and practical primer, it explores the platforms you can use to develop hardware or software, discusses design concepts that will make your products eye-catching and appealing, and shows you ways to scale up from a single prototype to mass production.Helps software engineers, web designers, product designers, and electronics engineers start designing products using the Internet-of-Things approach Explains how to combine sensors, servos, robotics, Arduino chips, and more with various networks or the Internet, to create interactive, cutting-edge devices Provides an overview of the necessary steps to take your idea from concept through production
If you'd like to design for the future, Designing the Internet of Things is a great place to start.
This book starts you off on the right foot, emphasizing small, simple game ideas and playable projects that you can actually finish. The complexity of the games increases gradually as we progress through the chapters. The chosen examples help you learn a wide variety of game development techniques. With this understanding of Unity 3D and bite-sized bits of programming, you can make your own mark on the game industry by finishing fun, simple games.
This book shows you how to build crucial game elements that you can reuse and re-skin in many different games, using the phenomenal (and free!) Unity 3D game engine. It initiates you into indie game culture by teaching you how to make your own small, simple games using Unity3D and some gentle, easy-to-understand code. It will help you turn a rudimentary keep-up game into a madcap race through hospital hallways to rush a still-beating heart to the transplant ward, program a complete 2D game using Unity's User Interface controls, put a dramatic love story spin on a simple catch game, and turn that around into a classic space shooter with spectacular explosions and "pew" sounds! By the time you're finished, you'll have learned to develop a number of important pieces to create your own games that focus in on that small, singular piece of joy that makes games fun.
This book shoots straight for the heart of fun, simple game design and keeps shooting until you have all the pieces you need to assemble your own great games.
Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers.
Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.
This book is for those who want to build powerful and inexpensive IoT projects using the ESP8266 WiFi chip, including those who are new to IoT, or those who already have experience with other platforms such as Arduino.What You Will LearnControl various devices from the cloudInteract with web services, such as Twitter or FacebookMake two ESP8266 boards communicate with each other via the cloudSend notifications to users of the ESP8266, via email, text message, or push notificationsBuild a physical device that indicates the current price of BitcoinBuild a simple home automation system that can be controlled from the cloudCreate your own cloud platform to control ESP8266 devicesIn Detail
The Internet of Things (IoT) is the network of objects such as physical things embedded with electronics, software, sensors, and connectivity, enabling data exchange. ESP8266 is a low cost WiFi microcontroller chip that has the ability to empower IoT and helps the exchange of information among various connected objects. ESP8266 consists of networkable microcontroller modules, and with this low cost chip, IoT is booming. This book will help deepen your knowledge of the ESP8266 WiFi chip platform and get you building exciting projects.
Kick-starting with an introduction to the ESP8266 chip, we will demonstrate how to build a simple LED using the ESP8266. You will then learn how to read, send, and monitor data from the cloud. Next, you'll see how to control your devices remotely from anywhere in the world. Furthermore, you'll get to know how to use the ESP8266 to interact with web services such as Twitter and Facebook. In order to make several ESP8266s interact and exchange data without the need for human intervention, you will be introduced to the concept of machine-to-machine communication.
The latter part of the book focuses more on projects, including a door lock controlled from the cloud, building a physical Bitcoin ticker, and doing wireless gardening. You'll learn how to build a cloud-based ESP8266 home automation system and a cloud-controlled ESP8266 robot. Finally, you'll discover how to build your own cloud platform to control ESP8266 devices.
With this book, you will be able to create and program Internet of Things projects using the ESP8266 WiFi chip.Style and approach
This is a step-by-step guide that provides great IOT projects with ESP8266. All the key concepts are explained details with the help of examples and demonstrations of the projects.
This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on.What You Will LearnApply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like imageDetect and track various body parts such as the face, nose, eyes, ears, and mouthStitch multiple images of a scene together to create a panoramic imageMake an object disappear from an imageIdentify different shapes, segment an image, and track an object in a live videoRecognize an object in an image and build a visual search engineReconstruct a 3D map from imagesBuild an augmented reality applicationIn Detail
Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel.
This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications.
This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples.
The book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation.Style and approach
This is a conversational-style book filled with hands-on examples that are really easy to understand. Each topic is explained very clearly and is followed by a programmatic implementation so that the concept is solidified. Each topic contributes to something bigger in the following chapters, which helps you understand how to piece things together to build something big and complex.
The book targets Linux and system administrators and professionals working in IT teams who would like to design and implement an enterprise-quality virtualized environment using Proxmox.Knowledge of networking and virtualization concepts is assumed.What You Will LearnInstall the basic Proxmox VE nodesGet to know the Proxmox Graphical User Interface (GUI)See and understand Proxmox's internal structure and mechanicsCreate and manage KVM- or LXC-based virtual machinesUnderstand advanced virtual networksLeverage the power of the built-in Proxmox firewall to provide protection at any levelConfigure high availability Proxmox nodesLearn different backup strategies and to restore a VM in the event of a disaster to ensure data safetyMonitor a Proxmox cluster and all of its components using ZabbixPlan large virtual environments for mission critical virtual environmentsWork through real-world scenarios to troubleshoot ProxmoxIn Detail
Proxmox is an open source server virtualization solution that has enterprise-class features to manage virtual machines, to be used for storage, and to virtualize both Linux and Windows application workloads.
You begin with refresher on the advanced installation features and the Proxmox GUI to familiarize yourself with the Proxmox VE hypervisor. You then move on to explore Proxmox under the hood, focusing on the storage systems used with Proxmox. Moving on, you will learn to manage KVM Virtual Machines and Linux Containers and see how networking is handled in Proxmox. You will then learn how to protect a cluster or a VM with a firewall and explore the new HA features introduced in Proxmox VE 4 along with the brand new HA simulator.
Next, you will dive deeper into the backup/restore strategy followed by learning how to properly update and upgrade a Proxmox node. Later, you will learn how to monitor a Proxmox cluster and all of its components using Zabbix. By the end of the book, you will become an expert at making Proxmox environments work in production environments with minimum downtime.Style and approach
This book walks you through every aspect of virtualization using Proxmox using a practical, scenario-based approach that features best practices and all the weaponry you need to succeed when building virtual environments with Proxmox 4.
The authors of Social Engineering Penetration Testing show you hands-on techniques they have used at RandomStorm to provide clients with valuable results that make a real difference to the security of their businesses. You will learn about the differences between social engineering pen tests lasting anywhere from a few days to several months. The book shows you how to use widely available open-source tools to conduct your pen tests, then walks you through the practical steps to improve defense measures in response to test results.Understand how to plan and execute an effective social engineering assessment Learn how to configure and use the open-source tools available for the social engineer Identify parts of an assessment that will most benefit time-critical engagements Learn how to design target scenarios, create plausible attack situations, and support various attack vectors with technology Create an assessment report, then improve defense measures in response to test results
This fully updated edition is comprised of six chapters that follow a consistent framework: explanation of the ideas in each chapter; a crosscutting issues section, which presents how the concepts covered in one chapter connect with those given in other chapters; a putting it all together section that links these concepts by discussing how they are applied in real machine; and detailed examples of misunderstandings and architectural traps commonly encountered by developers and architects. Formulas for energy, static and dynamic power, integrated circuit costs, reliability, and availability are included. The book also covers virtual machines, SRAM and DRAM technologies, and new material on Flash memory. Other topics include the exploitation of instruction-level parallelism in high-performance processors, superscalar execution, dynamic scheduling and multithreading, vector architectures, multicore processors, and warehouse-scale computers (WSCs). There are updated case studies and completely new exercises. Additional reference appendices are available online.
This book will be a valuable reference for computer architects, programmers, application developers, compiler and system software developers, computer system designers and application developers.Part of Intel's 2012 Recommended Reading List for DevelopersUpdated to cover the mobile computing revolutionEmphasizes the two most important topics in architecture today: memory hierarchy and parallelism in all its forms.Develops common themes throughout each chapter: power, performance, cost, dependability, protection, programming models, and emerging trends ("What's Next")Includes three review appendices in the printed text. Additional reference appendices are available online.Includes updated Case Studies and completely new exercises.
The Raspberry Pi has opened up a whole new world of innovation for everyone from hardware hackers and programmers to students, hobbyists, engineers, and beyond. Featuring a variety of hands-on projects, this easy-to-understand guide walks you through every step of the design process and will have you creating like a Raspberry Pi pro in no time. You’ll learn how to prepare your workspace, assemble the necessary tools, work with test equipment, and find your way around the Raspberry Pi before moving on to a series of fun, lively projects that brings some power to your plain ol’ Pi.Introduces Raspberry Pi basics and gives you a solid understanding of all the essentials you’ll need to take on your first project Includes an array of fun and useful projects that show you how to do everything from creating a magic light wand to enhancing your designs with Lego sensors, installing and writing games for the RISC OS, building a transistor tester, and more Provides an easy, hands-on approach to learning more about electronics, programming, and interaction design for Makers and innovators of all ages
Bring the power of Pi to your next cool creation with Raspberry Pi Projects For Dummies!
A comprehensive shopping guide includes the hardware and software components you need in your tool box. You will learn to use Arduino UNO, Arduino Ethernet shield, and Arduino WiFi shield.
Building Arduino PLCs shows you how to build and test a simple Arduino UNO-based 5V DC logic level PLC with Grove Base shield by connecting simple sensors and actuators. You will also learn how to build industry-grade PLCs with the help of ArduiBox.
What You'll Learn
Map Arduino PLCs into the cloud using NearBus cloud connector to control the PLC through the Internet
Use do-it-yourself light platforms such as IFTTT
Enhance your PLC by adding Relay shields for connecting heavy loads
Who This Book Is For
Engineers, designers, crafters, and makers. Basic knowledge in electronics and Arduino programming or any other programming language is recommended.
This book is perfect for developers and administrators who are familiar with Ansible and Python programming, but have no knowledge of how to customize Ansible.What You Will LearnGet a thorough understanding of Ansible modulesFind out everything about plugins that fit in the Ansible architectureGet to grips with designing modules and handling errorsWork with data structuresDistribute Ansible extensions using PyPi and Git submodulesGet to know the various distribution methods of modules and pluginsIn Detail
Ansible is an IT automation tool that lets you manage your Infrastructure as a Code. It helps you deploy your applications and manage configurations, thus making life easier. Ansible, in most ways, is self sufficient to address most of your requirements.
Ideally, standard modules, libraries, or plugins are used to automate a given IT platform. Customizing Ansible can be done by custom module and plugin development.
This book shows you how to automate most of the tasks in your IT environment, thus minimizing the need to manually perform scheduled tasks and extend your Ansible implementation by developing customized modules and plugins.
You'll begin by getting an understanding of the fundamental aspects of extending the Ansible framework, such as custom functions and reusable modules. You'll then progress to building custom plugins and extensions using the fundamental building blocks explained earlier. We'll also show you how to automate some tasks using scripts. Finally, we'll demonstrate how these extensions can be seamlessly integrated into existing Ansible installations and explain how to conduct unit testing on these extensions to ensure they work as desired.Style and approach
This book is a learning book on the fundamentals of Ansible framework and how it can be leveraged to extend it using the modules and plugins.