This book investigates the intuitive application of strategic knowledge arbitrage and serendipity (SKARSE) principles by CEOs in their use of mobile electronic devices. CEOs of small to mid-sized organizations are responsible for the income, expenses, and profitability of their respective division and rely heavily on mobile devices for learning, knowledge management, and communication. This book explores the effects of mobile devices on the individual CEO, their interpersonal relationships, and culture. It will benefit students, academics, and business professionals recognize events that can add to knowledge and enhance management skills.

As technology advances, mobile devices have become more affordable and useful to countries around the world. As a result, mobile evolution has become an essential part of economic and social advancement. Mobile Technologies and Socio-Economic Development in Emerging Nations provides emerging research on the role of mobile devices as an important aspect of social and economic growth in developing countries. While highlighting topics, such as device authentication, mobile data management, and sensor services, this book explores how mobile devices have evolved to become an extremely useful tool. This book is a vital resource for academicians, researchers, students, practitioners, politicians, and professionals seeking current research on the uses, applications, and advantages of mobile services in increasing economic growth.

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.

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.

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.

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.

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.

This book highlights technology trends and challenges that trace the evolution of antenna design, starting from 3rd generation phones and moving towards the latest release of LTE-A. The authors explore how the simple monopole and whip antenna from the GSM years have evolved towards what we have today, an antenna design that is compact, multi-band in nature and caters to multiple elements on the same patch to provide high throughput connectivity. The scope of the book targets a broad range of subjects, including the microstrip antenna, PIFA antenna, and the monopole antenna to be used for different applications over three different mobile generations. Beyond that, the authors take a step into the future and look at antenna requirements for 5G communications, which already has the 5G drive in place with prominent scenarios and use-cases emerging. They examine these, and put in place the challenges that lie ahead for antenna design, particularly in mm-Wave design. The book provides a reference for practicing engineers and under/post graduate students working in this field.

Stop scrolling and start living! Build healthier relationships between you, your smartphone and all your devices, including tips to reduce social media obsession, notification anxiety and other unhealthy habits. Your smartphone is a powerful device that has fundamentally changed your life-no doubt improving it in many ways. And while you don't need to give up your smartphone completely, if your day to day is filled with endless, anxiety-inducing checking, swiping and liking, then you need this helpful, step-by-step workbook to take back control of your life. Phone addiction is similar to gambling addiction and substance abuse. Its consequences include stress, depression, insomnia, intimacy issues and more. Written by an experienced psychotherapist, couples therapist and former telecommunications industry insider, The Phone Addiction Workbook's program offers the blueprint for understanding addictive behavior and how it controls you. Weekly charts, practical tips and interactive activities help you stop unhealthy behavior and make lasting change.

Exploring Screen Culture via Apple's Mobile Devices: Life through the Looking Glass explores the role of mobile technologies in everyday life via the extended case study of Apple's mobile operating system (iOS) for the iPhone, iPad, and iPod. Via a detailed application (including numerous extended examples) of the experiences associated with Apple's iOS devices, Charles Soukup examines contemporary screen culture and how individuals navigate it via mobile technologies. Mobile devices provide a lifeline that sifts through, limits, and simplifies the complexities of rapid, vast, circulating information in postmodern culture. Particularly, simple, game-like applications with clear rules and numerical outcomes exceptionally focus, frame, and filter an overwhelming media-saturated culture. Rather than merely outlining the problems associated with a world dominated by digital screens, Exploring Screen Culture via Apple's Mobile Devices offers a means for understanding screen culture as well as viable solutions to the challenges facing contemporary social life.

This book investigates the modeling and optimization issues in mobile social networks (MSNs). Firstly, the architecture and applications of MSNs are examined. The existing works on MSNs are reviewed by specifying the critical challenges and research issues. Then, with the introduction of MSN-based social graph and information dissemination mechanisms, the analytical model for epidemic information dissemination with opportunistic Links in MSNs is discussed. In addition, optimal resource allocation is studied based on a heterogeneous architecture, which provides mobile social services with high capacity and low latency. Finally, this book summarize some open problems and future research directions in MSNs. Written for researchers and academics, this book is useful for anyone working on mobile networks, network architecture, or content delivery. It is also valuable for advanced-level students of computer science.