Ais ich dieses Buch im Jahre 1920 zum ersten lYIale herausgab, folgte ich vielfach geapBerten Wiinschen, die von mir fiir die Firma Siemens & Halske geschriebenen Technischen Anweisungen iiber Wechselstrom-Leistungsmessungen weitesten Kreisen in geschlossener Form zuganglich zu machen. Bei dieser Entwicklung konnten naturgemaB nur Siemens-Apparate in dem Buch be schrieben werden. Da diese jedoch nur als Ausfiihrungsbeispiele fiir den im iibrigen allgemein behandelten Stoff dienen und sich die Fabrikate anderer Firmen von den beschriebenen nicht prin zipiell, sondern nur in konstruktiven Einzelheiten unterscheiden, ist die Beschrankung auf ein Fabrikat belanglos. Diese Behand lungsweise bietet vielmehr den Vorteil, daB das ganze Gebiet an einer einheitlich durchgebildeten Reihe von MeBgeraten be sprochen werden kann und daB statt allgemeiner Angaben iiberall festliegende Zahlen gebracht werden konnen. Um den hierdurch gegebenen Gebrauchswert des Buches zu erhalten, sind auch in der zweiten und in der vorliegenden dritten Auflage als Aus fiihrungsbeispiele im allgemeinen nur Siemens-MeBgerate gebracht. Im iibrigen ist jedoch das Buch seit dem ersten Erscheinen voll standig umgearbeitet worden. In der vorliegenden drittw Auflage ist der Stoff nach allgemein giiltigen Gesichtspunkten neu aufgebaut und gegliedert worden. Hierdurch ergab sich die Moglichkeit, das Gemeinsame der ver schiedenen MeBgerate zusammenzufassen und einheitlich zu be handeIn. So wird beispielsweise erst die Bauart der verschiedenen MeBwerke der Leistungsmesser geschlossen behandelt, dann werden die Ausfiihrungsmoglichkeiten der Innenschaltung und endlich die fiir die Messungen erforderliche Berechnung der Kon stanten in allgemein geltender Form gebracht."

Get to grips with Apple's new SwiftUI framework for creating robust UIs for iOS and iPadOS using Swift programming Key Features Use SwiftUI for building dynamic apps for Apple devices from scratch Understand declarative syntax in cross-platform development and how states work within SwiftUI Learn to develop watchOS apps by reusing SwiftUI code Book DescriptionSwiftUI is the new and powerful interface toolkit that lets you design and build iOS, iPadOS, and macOS apps using declarative syntax. It is a powerful way to develop the UI elements of applications, which would normally be tightly coupled to application logic. Learn SwiftUI will get you up to speed with the framework and cross-device UI development in no time. Complete with detailed explanations and practical examples, this easy-to-follow guide will teach you the fundamentals of the SwiftUI toolkit. You'll learn how to build a powerful iOS and iPadOS application that can be reused for deployment on watchOS. As you progress, you'll delve into UI and unit testing in iOS apps, along with learning how to test your SwiftUI code for multiple devices. The book will also show you how to integrate SwiftUI features such as data binding and network requests into your current application logic. By the end of this book, you will have learned how to build a cross-device application using the SwiftUI framework and Swift programming. What you will learn Explore the fundamentals of SwiftUI and compare it with existing UI frameworks Write SwiftUI syntax and understand what should and shouldn't be included in SwiftUI's layer Add text and images to a SwiftUI view and decorate them using SwiftUI's modifiers Create basic forms, and use camera and photo library functions to add images to them Understand the core concepts of Maps in iOS apps and add a MapView in SwiftUI Design extensions within your existing apps to run them on watchOS Handle networking calls in SwiftUI to retrieve data from external sources Who this book is forThis SwiftUI book helps any mobile app developer looking to understand the fundamentals of the new SwiftUI framework along with the benefits of cross-device development. A solid understanding of iOS and macOS app development, along with some knowledge of the Swift programming language, will be beneficial. Basic programming knowledge is essential to grasp the concepts covered in the book effectively.

Plunkett's Telecommunications Industry Almanac is the only complete reference guide to the telecommunications technologies and companies that are changing the way the world communicates today. This massive reference book's market research section provides our famous trends analysis, as well as major statistical tables. You will receive an abundance of data on statistics, new telecommunications technologies, markets, the Internet, land lines, VOIP, unified communications and leading telecommunications companies. In the corporate profiles section, you'll receive vital details on the Telecommunications 500 Firms, the largest, most successful corporations in all facets of the telecommunications business on a worldwide basis, both public and private. These in-depth profiles include corporate names, addresses, phone and fax numbers, web sites, growth plans, competitive advantage, financial histories and up to 27 executive contacts by title. You will also find information regarding local exchange and long distance telephone service markets and trends, wireless and cellular telephone markets and trends, satellite telecommunications, Wi-Fi, telephone industry equipment, software and support. You'll find a complete overview, industry analysis and market research report in one superb, value-priced package.

Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key Features Build practical, real-world AI projects on Android and iOS Implement tasks such as recognizing handwritten digits, sentiment analysis, and more Explore the core functions of machine learning, deep learning, and mobile vision Book DescriptionWe're witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learn Explore the concepts and fundamentals of AI, deep learning, and neural networks Implement use cases for machine vision and natural language processing Build an ML model to predict car damage using TensorFlow Deploy TensorFlow on mobile to convert speech to text Implement GAN to recognize hand-written digits Develop end-to-end mobile applications that use AI principles Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch Who this book is forMobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.

Computing in Communication Networks: From Theory to Practice provides comprehensive details and practical implementation tactics on the novel concepts and enabling technologies at the core of the paradigm shift from store and forward (dumb) to compute and forward (intelligent) in future communication networks and systems. The book explains how to create virtualized large scale testbeds using well-established open source software, such as Mininet and Docker. It shows how and where to place disruptive techniques, such as machine learning, compressed sensing, or network coding in a newly built testbed. In addition, it presents a comprehensive overview of current standardization activities. Specific chapters explore upcoming communication networks that support verticals in transportation, industry, construction, agriculture, health care and energy grids, underlying concepts, such as network slicing and mobile edge cloud, enabling technologies, such as SDN/NFV/ ICN, disruptive innovations, such as network coding, compressed sensing and machine learning, how to build a virtualized network infrastructure testbed on one's own computer, and more.

Mobile wireless communication systems have affected every aspect of life. By providing seamless connectivity, these systems enable almost all the smart devices in the world to communicate with high speed throughput and extremely low latency. The next generation of cellular mobile communications, 5G, aims to support the tremendous growth of interconnected things/devices (i.e., internet of things [IoT]) using the current technologies and extending them to be used in higher frequencies to cope with the huge number of different devices. In addition, 5G will provide massive capacity, high throughput, lower end-to-end delay, green communication, cost reduction, and extended coverage area. Fundamental and Supportive Technologies for 5G Mobile Networks provides detailed research on technologies used in 5G, their benefits, practical designs, and recent challenges and focuses on future applications that could exploit 5G network benefits. The content within this publication examines cellular communication, data transmission, and high-speed communication. It is designed for network analysts, IT specialists, industry professionals, software engineers, researchers, academicians, students, and scientists.

Smartphone Based Medical Diagnostics provides the theoretical background and practical applications for leveraging the strengths of smartphones toward a host of different diagnostics, including, but not limited to, optical sensing, electrochemical detection, integration with other devices, data processing, data sharing and storage. The book also explores the translational, regulatory and commercialization challenges of smartphone incorporation into point-of-care medical diagnostics and food safety settings.

Skillfully navigate through the complex realm of implementing scalable, trustworthy industrial systems and architectures in a hyper-connected business world. Key Features Gain practical insight into security concepts in the Industrial Internet of Things (IIoT) architecture Demystify complex topics such as cryptography and blockchain Comprehensive references to industry standards and security frameworks when developing IIoT blueprints Book DescriptionSecuring connected industries and autonomous systems is a top concern for the Industrial Internet of Things (IIoT) community. Unlike cybersecurity, cyber-physical security is an intricate discipline that directly ties to system reliability as well as human and environmental safety. Practical Industrial Internet of Things Security enables you to develop a comprehensive understanding of the entire spectrum of securing connected industries, from the edge to the cloud. This book establishes the foundational concepts and tenets of IIoT security by presenting real-world case studies, threat models, and reference architectures. You'll work with practical tools to design risk-based security controls for industrial use cases and gain practical know-how on the multi-layered defense techniques including Identity and Access Management (IAM), endpoint security, and communication infrastructure. Stakeholders, including developers, architects, and business leaders, can gain practical insights in securing IIoT lifecycle processes, standardization, governance and assess the applicability of emerging technologies, such as blockchain, Artificial Intelligence, and Machine Learning, to design and implement resilient connected systems and harness significant industrial opportunities. What you will learn Understand the crucial concepts of a multi-layered IIoT security framework Gain insight on securing identity, access, and configuration management for large-scale IIoT deployments Secure your machine-to-machine (M2M) and machine-to-cloud (M2C) connectivity Build a concrete security program for your IIoT deployment Explore techniques from case studies on industrial IoT threat modeling and mitigation approaches Learn risk management and mitigation planning Who this book is forPractical Industrial Internet of Things Security is for the IIoT community, which includes IIoT researchers, security professionals, architects, developers, and business stakeholders. Anyone who needs to have a comprehensive understanding of the unique safety and security challenges of connected industries and practical methodologies to secure industrial assets will find this book immensely helpful. This book is uniquely designed to benefit professionals from both IT and industrial operations backgrounds.

Create Deep Learning and Reinforcement Learning apps for multiple platforms with TensorFlow Key Features Build TensorFlow-powered AI applications for mobile and embedded devices Learn modern AI topics such as computer vision, NLP, and deep reinforcement learning Get practical insights and exclusive working code not available in the TensorFlow documentation Book DescriptionAs a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You'll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips. What you will learn Classify images with transfer learning Detect objects and their locations Transform pictures with amazing art styles Understand simple speech commands Describe images in natural language Recognize drawing with Convolutional Neural Network and Long Short-Term Memory Predict stock price with Recurrent Neural Network in TensorFlow and Keras Generate and enhance images with generative adversarial networks Build AlphaZero-like mobile game app in TensorFlow and Keras Use TensorFlow Lite and Core ML on mobile Develop TensorFlow apps on Raspberry Pi that can move, see, listen, speak, and learn Who this book is forIf you're an iOS/Android developer interested in building and retraining others' TensorFlow models and running them in your mobile apps, or if you're a TensorFlow developer and want to run your new and amazing TensorFlow models on mobile devices, this book is for you. You'll also benefit from this book if you're interested in TensorFlow Lite, Core ML, or TensorFlow on Raspberry Pi.

In recent years, technology has permeated every aspect of daily life and has drastically increased accessibility and empowerment for all demographics. Smart technologies and mobile applications now have the ability to promote and protect the basic rights of children, women, and men alike. A child's right to education and mental growth or a woman's socio-economic stability and protection from physical, sexual, and emotional abuse can all be attributed to these advancements. Mobile Devices and Smart Gadgets in Human Rights provides emerging research exploring the theoretical and practical applications of technology in relation to human ethical treatment and interactions. Featuring coverage on a broad range of topics such as public safety, augmented reality, and safety apps, this book is ideally designed for researchers, students, activists, academicians, policymakers, and government officials seeking current research on the influence of portable technologies in human rights and ethics.

Urban Mobility and the Smartphone: Transportation, Travel Behavior and Public Policy provides a global synthesis of the transformation of urban mobility by the smartphone, clarifying the definitions of new concepts and objects in mobility studies, accounting for the changes in transportation and travel behavior triggered by the spread of the smartphone, and discussing the implications of these changes for policy-making and research. Urban mobility is approached here as a system of actors: the perspectives of individual behavior (including lifestyles), the supply of mobility services (including actors, business models), and public policy-making are considered. The book is based on an extensive review of the academic literature as well as systematic observation of the development of smartphone-based mobility services around the world. In addition, case studies provide practical illustrations of the ongoing transformation of mobility services influenced by the dissemination of smartphones. The book not only consolidates existing research, but also picks up on weak signals that help researchers and practitioners anticipate future changes in urban mobility systems. Key Features * Synthesizes existing research into one reference, providing researchers and policy-makers with a clear and complete understanding of the changes triggered by the spread of the smartphone. * Analyzes numerous case studies throughout developed and developing countries providing practical illustrations of the influence of the smartphone on travel behavior, transportation systems, and policy-making. * Provides insights for researchers and practitioners looking to engage with the "smart cities" and "smart mobility" discourse.

Embrace the mobile gaming revolution by creating popular iOS games with Swift 4.2 Key Features Learn to create games for iPhone and iPad with the latest Swift Programming language Understand the fundamental concepts of game development like game physics, camera action, sprites, controls, among others Build Augmented reality games using ARKit for true performance Book DescriptionSwift is the perfect choice for game development. Developers are intrigued by Swift and want to make use of new features to develop their best games yet. Packed with best practices and easy-to-use examples, this book leads you step by step through the development of your first Swift game. The book starts by introducing Swift's best features - including its new ones for game development. Using SpriteKit, you will learn how to animate sprites and textures. Along the way, you will master physics, animations, and collision effects and how to build the UI aspects of a game. You will then work on creating a 3D game using the SceneKit framework. Further, we will look at how to add monetization and integrate Game Center. With iOS 12, we see the introduction of ARKit 2.0. This new version allows us to integrate shared experiences such as multiplayer augmented reality and persistent AR that is tied to a specific location so that the same information can be replicated on all connected devices. In the next section, we will dive into creating Augmented Reality games using SpriteKit and SceneKit. Then, finally, we will see how to create a Multipeer AR project to connect two devices, and send and receive data back and forth between those devices in real time. By the end of this book, you will be able to create your own iOS games using Swift and publish them on the iOS App Store. What you will learn Deliver powerful graphics, physics, and sound in your game by using SpriteKit and SceneKit Set up a scene using the new capabilities of the scene editor and custom classes Maximize gameplay with little-known tips and strategies for fun, repeatable action Make use of animations, graphics, and particles to polish your game Understand the current mobile monetization landscape Integrate your game with Game Center Develop 2D and 3D Augmented Reality games using Apple's new ARKit framework Publish your game to the App Store Who this book is forIf you wish to create and publish iOS games using Swift, then this book is for you. No prior game development or experience with Apple ecosystem is needed.

5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks, covering issues ranging from network resilience to how Big Data analytics can used in network design optimization. The book addresses 5G optimization issues that are data driven, high dimensional and clustered. The reader will learn: 5G concepts, how they are linked and their effect on the architecture of a 5G network Models of 5G at a network level, including economic aspects of operating a network The economic implications of scale and service diversity, and the incentive for optimal design and operational strategies Network topologies from a transport to a cloud perspective Theoretic foundations for network design and network optimization Algorithms for practical design and optimization of 5G subsystems based on live network projects Efficient Bayesian methods for network analytics The trade-off and multi-objective character of QoS management and cost saving Practical traffic and resilience measurement and QoS supervision Frameworks for performance analytics and network control This book will be an invaluable resource for telecom operators and service providers, university researchers, graduate students and network planners interested in practical methods for optimizing networks for large performance improvements and cost savings. Christofer Larsson works as an independent researcher and consultant in network design traffic engineering, network performance evaluation and optimization.

The current state-of-art in securing computers and data is tantamount to an arms race between the attackers on one hand and the software developers who have to provide the updates to counteract the attacks on the other. This monograph introduces a novel technique for designing secure protocols with provable security guarantees for wireless ad-hoc networks infiltrated with adversarial nodes. It does this by developing a system-theoretical approach to secure protocol design that provides provable and comprehensive security guarantees, where any features of a protocol that reduce complexity or maximize the network throughput do not come at the expense of security. The desired approach is one of security first and performance second, which is the reverse of the current approach. This novel approach uses a game-theoretic framework that addresses the deficiencies in the defense-in-depth approach to securing complex systems. A Clean Slate Approach to Secure Wireless Networking describes in detail the theory of using this approach in both closed synchronized and unsynchronized networks. It will be of interest to all researchers and designers working on securing wireless networks.

What is at stake socially, culturally, politically, and economically when we routinely use technology to gather information about our bodies and environments? Today anyone can purchase technology that can track, quantify, and measure the body and its environment. Wearable or portable sensors detect heart rates, glucose levels, steps taken, water quality, genomes, and microbiomes, and turn them into electronic data. Is this phenomenon empowering, or a new form of social control? Who volunteers to enumerate bodily experiences, and who is forced to do so? Who interprets the resulting data? How does all this affect the relationship between medical practice and self care, between scientific and lay knowledge? Quantified examines these and other issues that arise when biosensing technologies become part of everyday life. The book offers a range of perspectives, with views from the social sciences, cultural studies, journalism, industry, and the nonprofit world. The contributors consider data, personhood, and the urge to self-quantify; legal, commercial, and medical issues, including privacy, the outsourcing of medical advice, and self-tracking as a "paraclinical" practice; and technical concerns, including interoperability, sociotechnical calibration, alternative views of data, and new space for design. Contributors Marc Boehlen, Geoffrey C. Bowker, Sophie Day, Anna de Paula Hanika, Deborah Estrin, Brittany Fiore-Gartland, Dana Greenfield, Judith Gregory, Mette Kragh-Furbo, Celia Lury, Adrian Mackenzie, Rajiv Mehta, Maggie Mort, Dawn Nafus, Gina Neff, Helen Nissenbaum, Heather Patterson, Celia Roberts, Jamie Sherman, Alex Taylor, Gary Wolf