1. An up-to-date reference on Red Hat 8 with comparisons to Red Hat's 7 and 6 when warranted. 2. A combination of how to use and administer Linux and operating systems concepts (making this text unique to Linux textbooks) written in an easy-to-read manner. 3. Improved chapters on computer networks, regular expressions and scripting. Revised and additional examples to support the concepts in these chapters. 4. Comparisons between Red Hat Linux and other Linux distributions when such comparisons will be useful. 5. A set of ancillary material including a complete lab manual, text bank, power point notes, glossary of terms, instructor's manual and supplemental readings. The supplemental readings will allow for a smaller book while still retaining all of the important content. 6. Improved chapter reviews, added end-of-section activities, additional tables, improved figures (where possible) and "did you know" boxes inserted to provide useful facts.

Leverage Swift to practice effective and efficient test-driven development (TDD) methodology. Software testing and TDD are evergreen programming concepts-yet Swift developers haven't widely adopted them. What's needed is a clear roadmap to learn and adopt TDD in the Swift world. Over the past years, Apple has invested in XCTest and Xcode's testing infrastructure, making testing a new top priority in their ecosystem. Open-source libraries such as Quick and Nimble have also reached maturity. The tools are there. This book will show you how to wield them. TDD has much more to offer than catching bugs. With this book, you'll learn a philosophy for building software. TDD enables engineers to solve problems incrementally, writing only as much code as necessary. By decomposing big problems into small steps, you can move along at a fast pace, always making visible progress. Participate in the test-driven development journey by building a real iOS application and incorporating new concepts through each chapter. The book's concepts will emerge as you figure out ways to use tests to drive the solutions to the problems of each chapter. Through the TDD of a single application, you'll be introduced to all the staples and advanced concepts of the craft, understand the trade offs each technique offers, and review an iterative process of software development. Test-Driven Development in Swift provides the path for a highly efficient way to make amazing apps. What You'll Learn Write tests that are easy to maintain Look after an ever-growing test suite Build a testing vocabulary that can be applied outside the Swift world See how Swift programming enhances the TDD flow seen in dynamic languages Discover how compiler errors can provide the same helpful guidance as failing tests do Who This Book Is For Mid-level developers keen to write higher quality code and improve their workflows. Also, developers that have already been writing tests but feel they are not getting the most out of them.

The award-winning team of Abraham Silberschatz, Peter Galvin, and Greg Gagne gets system administrators right up to speed on all the key concepts of computer operating systems. This new edition gives them a thorough theoretical foundation that they can apply to a wide variety of systems as they progress to the next level of their computer work. It presents several new Java example programs including features in Java 7. Increased coverage is offered on user perspective, OS design, security, and distributed programming. New exercises are also provided to reinforce the concepts and enable system administrators to design with confidence.

Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Mac users using the same formulae free, non-technical approach as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualization and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will be interested in this integrated, non-mathematical introduction to quantitative data anlysis and the Minitab package.

The three-volume set CCIS 1419, CCIS 1420, and CCIS 1421 contains the extended abstracts of the posters presented during the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held virtually in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions.The posters presented in these three volumes are organized in topical sections as follows: Part I: HCI theory and methods; perceptual, cognitive and psychophisiological aspects of interaction; designing for children; designing for older people; design case studies; dimensions of user experience; information, language, culture and media. Part II: interaction methods and techniques; eye-tracking and facial expressions recognition; human-robot interaction; virtual, augmented and mixed reality; security and privacy issues in HCI; AI and machine learning in HCI. Part III: interacting and learning; interacting and playing; interacting and driving; digital wellbeing, eHealth and mHealth; interacting and shopping; HCI, safety and sustainability; HCI in the time of pandemic.

Build highly modular software in macOS that interacts deeply and intuitively with other programs. This book explores all techniques available for Inter-process communications (IPC) from high level macOS layers to deep kernel options while applying theoretical concepts into practical implementations on real world scenarios. You'll see how IPC techniques are used for exchanging data and messages among multiple threads in one or more processes, which may be running on one or more computers connected by a network or running locally. IPC methods can be divided into methods for message passing, synchronization, shared memory, and remote procedure calls (RPC). A poorly conceived IPC can even expose an entire network to over-the-network attacks. Despite the risks, processes and applications absolutely need to communicate with each other across your system and the network. You'll see how these communications facilitate information sharing, computational speedup, modularity, convenience, and privilege separation. In macOS, a program has a number of ways to communicate with other programs. These mechanisms for IPC often exist in different layers of the system. You'll examine how each has its own specific purposes, limitations, and intended scenarios. Some are more suitable than others for code written at a certain level of the system. For example, a kernel extension would not make use of Apple events. Additionally, the book reveals that different users have different rights when it comes to accessing files, changing system wide settings, and so on, depending on whether they are admin users or ordinary users. Running code with root or administrative privileges can intensify the dangers posed by security vulnerabilities. You'll learn that to elevate privileges safely, it is mandatory for the application to perform the task through a secure Helper process. What You'll Learn Expand the capabilities of your programs by sharing data within multiple applications Understand and dig deep into the world of Helper tools to create apps that need user privilege elevation Enhance the modularity of a system by allowing your applications to interact and share data with a website Who This Book Is For Software engineers and architects designing and developing secure applications for macOS and iOS who have hands-on knowledge of Swift with XCode.

Develop handy, UI/UX friendly and eye-pleasing widgets using the brand new WidgetKit. Apple's brand new widgets allow iOS users to work with their favorite apps in the home screen of their iPhone or iPad without even opening the app! Join us in this exciting journey as we explore the APIs introduced in Apple's WidgetKit framework. You'll dive into the human interface guidelines (HIG) for creating widgets and review the recommendations Apple gives to developers for developing widgets with intuitive, easy-to-learn, and consistent user interfaces. In addition, you'll take a look at some SwiftUI views that are useful not only in creating widgets for iOS apps, but also for creating iOS apps themselves. You'll put everything you learn into practical application by actually writing code and creating widgets. Get a clear view of how everything works so that you're able to incorporate widgets into your real-world projects authentically and successfully. What You'll Learn Configure widgets and make them talk to APIs using URLSession Work with timelines and event handling in widgets Fetch content from a remote server and display the data in a widget Make content dynamic both remotely and locally Who This Book Is For iOS developers working in the Apple ecosystem with a basic understanding of SwiftUI.

Designed as a self-study guide, the book describes the real-world tradeoffs encountered in building a production-quality, platform-retargetable compiler. The authors examine the implementation of lcc, a production-quality, research-oriented retargetable compiler, designed at AT&T Bell Laboratories for the ANSI C programming language. The authors' innovative approach-a "literate program" that intermingles the text with the source code-uses a line-by-line explanation of the code to demonstrate how lcc is built.

This work presents traditional methods and current techniques of incorporating the computer into closed-loop dynamic systems control, combining conventional transfer function design and state variable concepts. Digital Control Designer - an award-winning software program which permits the solution of highly complex problems - is available on the CRC Press Website at http://www.crcpress.com/product/isbn/9780824789145. This edition: supplies new coverage of the Ragazzini technique; describes digital filtering, including Butterworth prototype filters; and more.

System Integration presents the systems approach to complex problem solving and provides a powerful base for both product and process integration. This unique reference describes 27 kinds of integration work, primarily obtained through human communications. Simple computer applications-already in place in most companies-have the resources to encourage the availability and sharing of current team knowledge, which results in an intense, cooperative experience leading rapidly to sound design solutions.

Manage and control Internet-connected devices from Windows and Raspberry Pi. Master the Windows 10 IoT Core application programming interface and feature set to develop Internet of Things applications on the Raspberry Pi using your Windows and .NET programming skills. New in this edition is coverage of enterprise-level tools and features in the Windows 10 IoT Enterprise server operating system, allowing you to manage IoT solutions having large numbers of devices and to deploy applications to enterprise-grade hardware. Windows 10 for the Internet of Things presents a set of example projects covering a wide range of techniques designed specifically to jump start your own Internet of Things creativity. You'll learn everything you need to know about Windows IoT Core to develop Windows and IoT applications that run on single board computers such as the Raspberry Pi. You'll learn to develop for the Raspberry PI using native Windows and all the related programming skills that you have built up from developing desktop and mobile applications. This book provides just the help you need to get started in putting your Windows skills to use in a burgeoning new world of development for small devices that are ubiquitously connected to the Internet. What You Will Learn Know Windows 10 on the Raspberry Pi Read sensor data and control actuators Connect to and transmit data into the cloud Remotely control your devices from any Windows device Develop IOT applications under Windows using C#, C++, and Visual Basic Store your IOT data in a database for later analysis Who This Book Is For Developers and enthusiasts wanting to take their skills in Windows development and connect everyday devices to the Internet by developing for Windows 10 IoT Core. Readers learn to develop in C#, C++, and Visual Basic using Visual Studio, for deployment on devices such as the Raspberry Pi.

Whether you're designing consumer electronics, medical devices, enterprise Web apps, or new ways to check out at the supermarket, today's digitally-enabled products and services provide both great opportunities to deliver compelling user experiences and great risks of driving your customers crazy with complicated, confusing technology.

Designing successful products and services in the digital age requires a multi-disciplinary team with expertise in interaction design, visual design, industrial design, and other disciplines. It also takes the ability to come up with the big ideas that make a desirable product or service, as well as the skill and perseverance to execute on the thousand small ideas that get your design into the hands of users. It requires expertise in project management, user research, and consensus-building. This comprehensive, full-color volume addresses all of these and more with detailed how-to information, real-life examples, and exercises. Topics include assembling a design team, planning and conducting user research, analyzing your data and turning it into personas, using scenarios to drive requirements definition and design, collaborating in design meetings, evaluating and iterating your design, and documenting finished design in a way that works for engineers and stakeholders alike.

The fields of computer-assisted instruction and intelligent tutoring systems have had few vehicles for sharing ideas or programs. Different backgrounds and settings meant reading different journals and attending different conferences. The purpose of this book is to foster a mutual understanding of shared issues and contemporary approaches so as to further powerful educational applications of computing. It is unique in drawing on both the intelligent tutoring systems and computer assisted instruction communities. Each chapter provides an in-depth discussion by leaders in these fields of current work, focusing on instructional programs -- their design, use, and evaluation. The editors and authors have made extensive efforts to ensure each chapter's clarity and readability for both communities.

The fields of computer-assisted instruction and intelligent tutoring systems have had few vehicles for sharing ideas or programs. Different backgrounds and settings meant reading different journals and attending different conferences. The purpose of this book is to foster a mutual understanding of shared issues and contemporary approaches so as to further powerful educational applications of computing. It is unique in drawing on both the intelligent tutoring systems and computer assisted instruction communities.
Each chapter provides an in-depth discussion by leaders in these fields of current work, focusing on instructional programs -- their design, use, and evaluation. The editors and authors have made extensive efforts to ensure each chapter's clarity and readability for both communities.

This two-volume set constitutes the refereed proceedings of the 16th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2020, held in Shanghai, China, in October 2020.The 61 full papers and 16 short papers presented were carefully reviewed and selected from 211 submissions. The papers reflect the conference sessions as follows: Collaborative Applications for Network and E-Commerce; Optimization for Collaborate System; Cloud and Edge Computing; Artificial Intelligence; AI Application and Optimization; Classification and Recommendation; Internet of Things; Collaborative Robotics and Autonomous Systems; Smart Transportation.

Maintaining an iOS project often results in thousands of code files scattered around your folders. Did you ever wanted to reuse those files with other projects but found yourself making copies of Swift files? You are not alone! Many iOS developers struggle with this issue as well-unorganized projects, duplicated files, difficulty in testing, and long complication times. This book will show how Swift Package Manager can help you handle these problems by restructuring your project to make it efficient and straightforward. Swift Package Manager isn't magic, but you'll likely need a little guidance in using this nifty tool. You'll see how to reorganize projects smartly and efficiently, create your first Swift package, and learn what libraries are in this context. Then share your package with the rest of your projects. Next test your library's quality. And then take your library to the next level of power by including files that go beyond just code. By going over the methodology of big project organization, you will have the ability to extend your project into the future as Apple sees it. Make no mistake-the path for a modular and flexible project is not easy. With the help of Swift Package Manager, it becomes possible and worth it. What You'll Learn Create a Swift package both from the command line and from Xcode Manage Swift packages in public and private Git repositories Build test suites to test integrations between packages Who This Book Is For Senior iOS developers and team leaders who already have professional experience with Swift.

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You'll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet. Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. What You'll Learn Categorize and augment datasets Build and train large networks, including via cloud solutions Deploy complex systems to mobile devices Who This Book Is For Developers with Swift programming experience who would like to learn convolutional neural networks by example using Swift for Tensorflow as a starting point.

From Microsoft's President and one of the tech industry's wisest thinkers, a frank and thoughtful reckoning with how to balance enormous promise and existential risk as the digitization of everything accelerates.

Microsoft President Brad Smith operates by a simple core belief: when your technology changes the world, you bear a responsibility to help address the world you have helped create.

This might seem uncontroversial, but it flies in the face of a tech sector long obsessed with rapid growth and sometimes on disruption as an end in itself. While sweeping digital transformation holds great promise, we have reached an inflection point. The world has turned information technology into both a powerful tool and a formidable weapon, and new approaches are needed to manage an era defined by even more powerful inventions like artificial intelligence. Companies that create technology must accept greater responsibility for the future, and governments will need to regulate technology by moving faster and catching up with the pace of innovation.

In Tools and Weapons, Brad Smith and Carol Ann Browne bring us a captivating narrative from the cockpit of one of the world's largest and most powerful tech companies as it finds itself in the middle of some of the thorniest emerging issues of our time. These are challenges that come with no pre-existing playbook, including privacy, cybercrime and cyberwar, social media, the moral conundrums of artificial intelligence, big tech's relationship to inequality, and the challenges for democracy, far and near. While in no way a self-glorifying "Microsoft memoir," the book pulls back the curtain remarkably wide onto some of the company's most crucial recent decision points as it strives to protect the hopes technology offers against the very real threats it also presents. There are huge ramifications for communities and countries, and Brad Smith provides a thoughtful and urgent contribution to that effort.

In Tools and Weapons, Brad Smith takes us behind the scenes on some of the biggest stories to hit the tech industry in the past decade and some of the biggest threats we face. From Edward Snowden's NSA leak to the NHS WannaCry ransomware attack, this book is essential reading to understand what's happening in the world around us.

This book introduces models and methodologies that can be employed towards making the Industry 4.0 vision a reality within the process industries, and at the same time investigates the impact of uncertainties in such highly integrated settings. Advances in computing power along with the widespread availability of data have led process industries to consider a new paradigm for automated and more efficient operations. The book presents a theoretically proven optimal solution to multi-parametric linear and mixed-integer linear programs and efficient solutions to problems such as process scheduling and design under global uncertainty. It also proposes a systematic framework for the uncertainty-aware integration of planning, scheduling and control, based on the judicious coupling of reactive and proactive methods. Using these developments, the book demonstrates how the integration of different decision-making layers and their simultaneous optimisation can enhance industrial process operations and their economic resilience in the face of uncertainty.

Attention .NET developers, here is your starting point for learning how to create and publish augmented reality (AR) apps for iOS devices. This book introduces and explores iOS augmented reality mobile app development specifically for .NET developers. The continued adoption and popularity of Xamarin, a tool that allows cross-platform mobile application development, opens up many app publishing opportunities to .NET developers that were never before possible, including AR development. You will use Xamarin to target Apple's augmented reality framework, ARKit, to develop augmented reality apps in the language you prefer-C#. Begin your journey with a foundational introduction to augmented reality, ARKit, Xamarin, and .NET. You will learn how this remarkable collaboration of technologies can produce fantastic experiences, many of them never before tried by .NET developers. From there you will dive into the fundamentals and then explore various topics and AR features. Throughout your learning, proof of concepts will be demonstrated to reinforce learning. After reading this book you will have the fundamentals you need, as well as an understanding of the overarching concepts that combine them. You will come away with an understanding of the wide range of augmented reality features available for developers, including the newest features included in the latest versions of ARKit. What You Will Learn Create rich commercial and personal augmented reality mobile apps Explore the latest capabilities of ARKit Extend and customize chapter examples for building your own amazing apps Graduate from traditional 2D UI app interfaces to immersive 3D AR interfaces Who This Book Is For Developers who want to learn how to use .NET and C# to create augmented reality apps for iOS devices. It is recommended that developers have some Xamarin experience and are aware of the cross-platform options available to .NET. A paid Apple developer account is not needed to experiment with the AR code samples on your devices.

Build smart apps capable of analyzing language and performing language-specific tasks, such as script identification, tokenization, lemmatization, part-of-speech tagging, and named entity recognition. This book will get you started in the world of building literate, language understanding apps. Cutting edge ML tools from Apple like CreateML, CoreML, and TuriCreate will become natural parts of your development toolbox as you construct intelligent, text-based apps. You'll explore a wide range of text processing topics, including reprocessing text, training custom machine learning models, converting state-of-the-art NLP models to CoreML from Keras, evaluating models, and deploying models to your iOS apps. You'll develop sample apps to learn by doing. These include apps with functions for detecting spam SMS, extracting text with OCR, generating sentences with AI, categorizing the sentiment of text, developing intelligent apps that read text and answers questions, converting speech to text, detecting parts of speech, and identifying people, places, and organizations in text. Smart app development involves mainly teaching apps to learn and understand input without explicit prompts from their users. These apps understand what is in images, predict future behavior, and analyze texts. Thanks to natural language processing, iOS can auto-fix typos and Siri can understand what you're saying. With Apple's own easy-to-use tool, Create ML, they've brought accessible ML capabilities to developers. Develop Intelligent iOS Apps with Swift will show you how to easily create text classification and numerous other kinds of models. What You'll Learn Incorporate Apple tools such as CreateML and CoreML into your Swift toolbox Convert state-of-the-art NLP models to CoreML from Keras Teach your apps to predict words while users are typing with smart auto-complete Who This Book Is For Novice developers and programmers who wish to implement natural language processing in their iOS applications and those who want to learn Apple's native ML tools.

Few works are as timely and critical to the advancement of high performance computing than is this new up-to-date treatise on leading-edge directions of operating systems. It is a first-hand product of many of the leaders in this rapidly evolving field and possibly the most comprehensive. This new and important book masterfully presents the major alternative concepts driving the future of operating system design for high performance computing. In particular, it describes the major advances of monolithic operating systems such as Linux and Unix that dominate the TOP500 list. It also presents the state of the art in lightweight kernels that exhibit high efficiency and scalability at the loss of generality. Finally, this work looks forward to possibly the most promising strategy of a hybrid structure combining full service functionality with lightweight kernel operation. With this, it is likely that this new work will find its way on the shelves of almost everyone who is in any way engaged in the multi-discipline of high performance computing. (From the foreword by Thomas Sterling)