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Deep Learning with PyTorch Quick Start Guide: Learn to train and deploy neural network models in Python
by David JulianIntroduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key Features Clear and concise explanations Gives important insights into deep learning models Practical demonstration of key concepts Book Description PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text. By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease. What you will learn Set up the deep learning environment using the PyTorch library Learn to build a deep learning model for image classification Use a convolutional neural network for transfer learning Understand to use PyTorch for natural language processing Use a recurrent neural network to classify text Understand how to optimize PyTorch in multiprocessor and distributed environments Train, optimize, and deploy your neural networks for maximum accuracy and performance Learn to deploy production-ready models Who this book is for Developers and Data Scientist familiar with Machine Learning but new to deep learning, or existing practitioners of deep learning who would like to use PyTorch to train their deep learning models will find this book to be useful. Having knowledge of Python programming will be an added advantage, while previous exposure to PyTorch is not needed.
Deep Learning With R
by François Chollet J. J. AllaireDeep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.
Deep Learning with R
by J.J. AllaireSummaryDeep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. Continue your journey into the world of deep learning with Deep Learning with R in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/deep-learning-with-r-in-motion).Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyMachine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks.About the BookDeep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models.What's InsideDeep learning from first principlesSetting up your own deep-learning environmentImage classification and generationDeep learning for text and sequencesAbout the ReaderYou'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed.About the AuthorsFrançois Chollet is a deep-learning researcher at Google and the author of the Keras library.J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras.Table of ContentsPART 1 - FUNDAMENTALS OF DEEP LEARNINGWhat is deep learning?Before we begin: the mathematical building blocks of neural networksGetting started with neural networksFundamentals of machine learningPART 2 - DEEP LEARNING IN PRACTICEDeep learning for computer visionDeep learning for text and sequencesAdvanced deep-learning best practicesGenerative deep learningConclusions
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
by Giancarlo Zaccone Md. Rezaul KarimDelve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow v1.7.Key Features Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow v1.7 Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide Gain real-world contextualization through some deep learning problems concerning research and applicationBook DescriptionDeep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks.This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow v1.7, combined with other open source Python libraries. Throughout the book, you’ll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way.You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects.What you will learn Apply deep machine intelligence and GPU computing with TensorFlow v1.7 Access public datasets and use TensorFlow to load, process, and transform the data Discover how to use the high-level TensorFlow API to build more powerful applications Use deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applicationsWho this book is forThe book is for people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
Deep Learning with TensorFlow - Second Edition: Explore Neural Networks And Build Intelligent Systems With Python, 2nd Edition
by Giancarlo Zaccone Rezaul Karim<P><P>Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow. <P><P>Key Features <P><P>Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow <P><P>Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide <P><P>Gain real-world contextualization through some deep learning problems concerning research and application <P><P>Book Description <P><P>Deep learning is a branch of machine learning algorithms based on learning multiple levels of abstraction. Neural networks, which are at the core of deep learning, are being used in predictive analytics, computer vision, natural language processing, time series forecasting, and to perform a myriad of other complex tasks. <P><P>This book is conceived for developers, data analysts, machine learning practitioners and deep learning enthusiasts who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. <P><P>Throughout the book, you'll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, and Factorization Machines. Discover how to attain deep learning programming on GPU in a distributed way. <P><P>You'll come away with an in-depth knowledge of machine learning techniques and the skills to apply them to real-world projects. <P><P>What you will learn <P><P>Apply deep machine intelligence and GPU computing with TensorFlow <P><P>Access public datasets and use TensorFlow to load, process, and transform the data <P><P>Discover how to use the high-level TensorFlow API to build more powerful applications <P><P>Use deep learning for scalable object detection and mobile computing <P><P>Train machines quickly to learn from data by exploring reinforcement learning techniques <P><P>Explore active areas of deep learning research and applications <P><P>Who This Book Is For <P><P>The book is for people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.
Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)
by Anthony L. Caterini Dong Eui ChangThis SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks. Furthermore, the authors developed framework is both more concise and mathematically intuitive than previous representations of neural networks.This SpringerBrief is one step towards unlocking the black box of Deep Learning. The authors believe that this framework will help catalyze further discoveries regarding the mathematical properties of neural networks.This SpringerBrief is accessible not only to researchers, professionals and students working and studying in the field of deep learning, but also to those outside of the neutral network community.
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
by Maxim LapanThis practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms Keep up with the very latest industry developments, including AI-driven chatbotsBook DescriptionRecent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google’s use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘grid world’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots.What you will learn Understand the DL context of RL and implement complex DL models Learn the foundation of RL: Markov decision processes Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others Discover how to deal with discrete and continuous action spaces in various environments Defeat Atari arcade games using the value iteration method Create your own OpenAI Gym environment to train a stock trading agent Teach your agent to play Connect4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI-driven chatbotsWho this book is forSome fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL.
Defending IoT Infrastructures with the Raspberry Pi: Monitoring And Detecting Nefarious Behavior In Real Time
by Chet HosmerApply a methodology and practical solutions for monitoring the behavior of the Internet of Things (IoT), industrial control systems (ICS), and other critical network devices with the inexpensive Raspberry Pi. With this book, you will master passive monitoring and detection of aberrant behavior, and learn how to generate early indications and warning of attacks targeting IoT, ICS, and other critical network resources. Defending IoT Infrastructures with the Raspberry Pi provides techniques and scripts for the discovery of dangerous data leakage events emanating from IoT devices. Using Raspbian Linux and specialized Python scripts, the book walks through the steps necessary to monitor, detect, and respond to attacks targeting IoT devices. There are several books that cover IoT, IoT security, Raspberry Pi, and Python separately, but this book is the first of its kind to put them all together. It takes a practical approach, providing an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate. What You’ll Learn Create a secure, operational Raspberry Pi IoT sensorConfigure and train the sensor using “normal” IoT behaviorEstablish analytics for detecting aberrant activitiesGenerate real-time alerts to preempt attacksIdentify and report data-leakage events originating from IoT devicesDevelop custom Python applications for cybersecurity Who This Book Is For Cybersecurity specialists, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, software developers and engineers developing new cybersecurity defenses, incident response teams, software developers and engineers in general, and hobbyists wanting to expand the application of Raspberry Pi into both IoT and cybersecurity
The Definitive Guide to AdonisJs: Building Node. Js Applications With Javascript
by Christopher PittLearn everything you need to master the AdonisJs framework, including topics such as interacting with a database, rendering templates, writing asynchronous code, and hosting sites with SSL. Along the way, you’ll see how to build a commerce application, which lists products and allows shoppers to register and purchase those products. The site will feature a product catalog, a shopping cart, user registration and login, and profile management.The Definitive Guide to AdonisJs also covers how to create a front-end build chain, so that you can use a modern front-end framework, such as React. You’ll discover how to connect your front end to the server, so that data and transactions can be shared between the two. Finally, you’ll see how to secure and deploy the application to a virtual private server, including how to apply for and install an SSL certificate and start accepting payments.After reading and using this book, you’ll know all you need about AdonisJs. You’ll have the tools to turn that side-project you’ve been thinking about into a real money-making product. It is written by a web expert and reviewed by the AdonisJs project lead. This is the complete start-to-finish guide you’ve been waiting for. What You'll LearnSet up Node.js and AdonisJs, so that you can start building your application Create and use views and template codeImplement cooperative multitasking, in JavaScriptRepresent eventual values with AdonisJs promisesOrganize and isolate your code in controllers and decorate them with middleware, to do things like authenticationBuild queries, using the Lucid DSL, and package these database entities up into model classesValidate form data and respond with the appropriate error messagesRespond to general framework errors with custom error pagesLearn the deeper parts of sessions and cookiesUpdate the state of the user interface with WebSocketsHost AdonisJs applications in a modern hosting environmentWho This Book Is ForReaders should have a functional understanding of JavaScript.
The Definitive Guide to JSF in Java EE 8: Building Web Applications With Javaserver Faces
by Arjan Tijms Bauke ScholtzLearn and master the new features in the JSF 2.3 MVC web framework in this definitive guide written by two of the JavaServer Faces (JSF) specification leads. The authors take you through real-world examples that demonstrate how these new features are used with other APIs in Java EE 8. You’ll see the new and exciting ways JSF applications can use to communicate between a client and a server, such as using WebSockets, invoking bean methods directly from Ajax, executing client-side JavaScript when Ajax calls complete, and moreAlong the way you’ll broaden your knowledge of JSF components and web APIs best practices, and learn a great deal about the internals of JSF and the design decisions that have been made when building the JSF API. For example, you’ll see what artefacts are now CDI injectable, how CDI changed JSF internally, and what some of the caveats are when working with the CDI versions of a JSF artefact.Furthermore, you'll build an example application from scratch. After reading The Definitive Guide to JSF in Java EE 8, you'll be ready to build your own efficient and secure web applications. What You Will LearnLeverage the new features in JSF 2.3 in your existing applicationsIntegrate JSF and CDIUse the brand new Component Search Expression framework, which enables you to more easily locate components from your templateExtend the Component Search Expression framework with your own search operatorsWork with the different ways of mapping requests to JSF, make your application use extensionless URLs, and programmatically inspect which resources are present in your applicationMaster the best practices for web application development and see which are obsoleteWho This Book Is ForExisting JSF or Java developers who need to create a web UI. No prior knowledge of JSF is required, but the book does skew towards the more experienced developer. Concepts such as dependency injection and MVC are assumed to be known, as is a general knowledge about HTML, HTTP and other web standards.
The Definitive Guide to Strategic Content Marketing: Perspectives, Issues, Challenges and Solutions
by Lazar Dzamic Justin KirbyMarketers everywhere are talking about content, but not everyone is saying the same thing. Some professionals love content and believe it has revolutionized the practice of marketing. To others, it's mere hype: a new name for what marketers have always done. The Definitive Guide to Strategic Content Marketing brings together all of these diverse perspectives, structuring them around useful key topics that provide insight into the multi-faceted nature of content marketing. The editors of The Definitive Guide to Strategic Content Marketing weave different voices together to present a balanced view of content marketing, grouping the discussion around relevant subjects such as content monetization, native advertising, visuals vs video, and the challenge of measuring results. This structure allows readers to move through the book according to their interests, and cherry-pick the most useful aspects of each discussion to apply to their own marketing initiatives. Containing contributions from, and interviews with, leading academics, industry experts, thought leaders and influencers, this book is a truly unique resource.
Defying Reality: The Inside Story of the Virtual Reality Revolution
by David M. EwaltA fascinating exploration of the history, development, and future of virtual reality, a technology with world-changing potential, written by award-winning journalist and author David Ewalt, stemming from his 2015 Forbes cover story about the Oculus Rift and its creator Palmer Luckey.You’ve heard about virtual reality, seen the new gadgets, and read about how VR will be the next big thing. But you probably haven’t yet realized the extent to which this technology will change the way we live. We used to be bound to a physical reality, but new immersive computer simulations allow us to escape our homes and bodies. Suddenly anyone can see what it’s like to stand on the peak of Mount Everest. A person who can’t walk can experience a marathon from the perspective of an Olympic champion. And why stop there? Become a dragon and fly through the universe. But it’s not only about spectacle. Virtual and augmented reality will impact nearly every aspect of our lives—commerce, medicine, politics—the applications are infinite. It may sound like science fiction, but this vision of the future drives billions of dollars in business and is a top priority for such companies as Facebook, Google, and Sony. Yet little is known about the history of these technologies. In Defying Reality, David M. Ewalt traces the story from ancient amphitheaters to Cold War military laboratories, through decades of hype and failure, to a nineteen-year-old video game aficionado who made the impossible possible. Ewalt looks at how businesses are already using this tech to revolutionize the world around us, and what we can expect in the future. Writing for a mainstream audience as well as for technology enthusiasts, Ewalt offers a unique perspective on VR. With firsthand accounts and on-the-ground reporting, Defying Reality shows how virtual reality will change our work, our play, and the way we relate to one another.
Dehumanization of Warfare: Legal Implications of New Weapon Technologies
by Wolff Heintschel von Heinegg Robert Frau Tassilo SingerThis book addresses the technological evolution of modern warfare due to unmanned systems and the growing capacity for cyberwarfare. The increasing involvement of unmanned means and methods of warfare can lead to a total removal of humans from the navigation, command and decision-making processes in the control of unmanned systems, and as such away from participation in hostilities - the "dehumanization of warfare. " This raises the question of whether and how today's law is suitable for governing the dehumanization of warfare effectively. Which rules are relevant? Do interpretations of relevant rules need to be reviewed or is further and adapted regulation necessary? Moreover, ethical reasoning and computer science developments also have to be taken into account in identifying problems. Adopting an interdisciplinary approach the book focuses primarily on international humanitarian law, with related ethics and computer science aspects included in the discussion and the analysis.
Delay and Disruption Tolerant Networks: Interplanetary and Earth-Bound -- Architecture, Protocols, and Applications
by Aloizio Pereira da Silva, Scott Burleigh and Katia ObraczkaDelay- and Disruption Tolerant Networks (DTNs) are networks subject to arbitrarily long-lived disruptions in connectivity and therefore cannot guarantee end-to-end connectivity at all times. Consequently DTNs called for novel core networking protocols since most existing Internet protocols rely on the network’s ability to maintain end-to-end communication between participating nodes. This book presents the fundamental principles that underline DTNs. It explains the state-of-the-art on DTNs, their architecture, protocols, and applications. It also explores DTN’s future technological trends and applications. Its main goal is to serve as a reference for researchers and practitioners.
Delphi Cookbook,: Recipes to master Delphi for IoT integrations, cross-platform, mobile and server-side development, 3rd Edition
by Daniele Teti Daniele SpinettiQuickly learn and employ practical recipes for developing real-world, cross-platform applications using Delphi.Key FeaturesGet to grips with Delphi to build and deploy various cross-platform applicationsDesign and deploy real-world apps by implementing a single source codebaseBuild robust and optimized GUI applications with easeBook DescriptionDelphi is a cross-platform integrated development environment (IDE) that supports rapid application development on different platforms, saving you the pain of wandering amid GUI widget details or having to tackle inter-platform incompatibilities. Delphi Cookbook begins with the basics of Delphi and gets you acquainted with JSON format strings, XSLT transformations, Unicode encodings, and various types of streams. You’ll then move on to more advanced topics such as developing higher-order functions and using enumerators and run-time type information (RTTI). As you make your way through the chapters, you’ll understand Delphi RTL functions, use FireMonkey in a VCL application, and cover topics such as multithreading, using aparallel programming library and deploying Delphi on a server. You’ll take a look at the new feature of WebBroker Apache modules, join the mobile revolution with FireMonkey, and learn to build data-driven mobile user interfaces using the FireDAC database access framework. This book will also show you how to integrate your apps with Internet of Things (IoT).By the end of the book, you will have become proficient in Delphi by exploring its different aspects such as building cross-platforms and mobile applications, designing server-side programs, and integrating these programs with IoT.What you will learn Develop visually stunning applications using FireMonkeyDeploy LiveBinding effectively with the right object-oriented programming (OOP) approachCreate RESTful web services that run on Linux or Windows Build mobile apps that read data from a remote server efficientlyCall platform native API on Android and iOS for an unpublished API Manage software customization by making better use of an extended RTTIIntegrate your application with IOTWho this book is forDelphi Cookbook is for intermediate developers with a basic knowledge of Delphi who want to discover and understand all the development possibilities offered by it.
Delphi High Performance: Build Fast Delphi Applications Using Concurrency, Parallel Programming And Memory Management
by Primož Gabrijelčič<P><P>Build fast, scalable, and high performing applications with Delphi <P><P>Key Features <P><P>Build efficient and concurrent applications in Delphi with focused examples <P><P>Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications. <P><P>Delve into parallel programming and memory management to optimize your code <P><P>Book Description <P><P>Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Apple Mac OS X, Google Android, iOS, and now Linux with RAD Studio 10.2. This book will be your guide to build efficient high performance applications with Delphi. <P><P>The book begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. It will teach you how to improve your algorithms before taking you through parallel programming. You'll then explore various tools to build highly concurrent applications. <P><P>After that, you'll delve into improving the performance of your code and master cross-platform RTL improvements. Finally, we'll go through memory management with Delphi and you'll see how to leverage several external libraries to write better performing programs. <P><P>By the end of the book, you'll have the knowledge to create high performance applications with Delphi. <P><P>What you will learn <P><P>Find performance bottlenecks and easily mitigate them <P><P>Discover different approaches to fix algorithms <P><P>Understand parallel programming and work with various tools included with Delphi <P><P>Master the RTL for code optimization <P><P>Explore memory managers and their implementation <P><P>Leverage external libraries to write better performing programs <P><P>Who This Book Is For <P><P>This book is for Delphi developers who would like to build high performance applications with Delphi. Prior knowledge of Delphi is assumed.
Delphi High Performance: Build fast Delphi applications using concurrency, parallel programming and memory management
by Primoz GabrijelcicBuild fast, scalable, and high performing applications with Delphi About This Book • Build efficient and concurrent applications in Delphi with focused examples • Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications. • Delve into parallel programming and memory management to optimize your code Who This Book Is For This book is for Delphi developers who would like to build high performance applications with Delphi. Prior knowledge of Delphi is assumed. What You Will Learn • Find performance bottlenecks and easily mitigate them • Discover different approaches to fix algorithms • Understand parallel programming and work with various tools included with Delphi • Master the RTL for code optimization • Explore memory managers and their implementation • Leverage external libraries to write better performing programs In Detail Delphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Apple Mac OS X, Google Android, iOS, and now Linux with RAD Studio 10.2. This book will be your guide to build efficient high performance applications with Delphi. The book begins by explaining how to find performance bottlenecks and apply the correct algorithm to fix them. It will teach you how to improve your algorithms before taking you through parallel programming. You'll then explore various tools to build highly concurrent applications. After that, you'll delve into improving the performance of your code and master cross-platform RTL improvements. Finally, we'll go through memory management with Delphi and you'll see how to leverage several external libraries to write better performing programs. By the end of the book, you'll have the knowledge to create high performance applications with Delphi. Style and approach This book will take a step-by-step approach with focused examples to teach you how to increase the performance of applications.
Dependable IoT for Human and Industry: Modeling, Architecting, Implementation (River Publishers Series In Information Science And Technology Ser.)
by Vyacheslav Kharchenko Ah Lian Kor Andrzej RucinskiThere are numerous publications which introduce and discuss the Internet of Things (IoT). In the midst of these, this work has several unique characteristics which should change the reader’s perspective, and in particular, provide a more profound understanding of the impact of the IoT on society. Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as global issues of applications, modeling, development and implementation of dependable IoT for different human and industry domains. Technical topics discussed in the book include: Introduction in Internet of vital and trust Things Modelling and assessment techniques for dependable and secure IoT systems Architecting and development of IoT systems Implementation of IoT for smart cities and drone fleets; business and blockchain, transport and industry Training courses and education experience on Internet and Web of ThingThe book contains chapters which have their roots in the International Conference IDAACS 2017, and Workshop on Cyber Physical Systems and IoT Dependability CyberIoT-DESSERT 2017.
Dependable Software Engineering. Theories, Tools, and Applications: 4th International Symposium, Setta 2018, Beijing, China, September 4-6, 2018, Proceedings (Lecture Notes in Computer Science #10998)
by Zijiang Yang Markus Müller-Olm Xinyu FengThis book constitutes the proceedings of the Third International Symposium on Dependable Software Engineering: Theories, Tools, and Applications, SETTA 2018, held in Beijing, China, in September 2018. The 9 full papers presented together with 3 short papers were carefully reviewed and selected from 22 submissions. The purpose of SETTA is to provide an international forum for researchers and practitioners to share cutting-edge advancements and strengthen collaborations in the field of formal methods and its interoperability with software engineering for building reliable, safe, secure, and smart systems.
Deploying to OpenShift: A Guide for Busy Developers
by Graham DumpletonGet an in-depth tour of OpenShift, the container-based software deployment and management platform from Red Hat that provides a secure multi-tenant environment for the enterprise. This practical guide describes in detail how OpenShift, building on Kubernetes, enables you to automate the way you create, ship, and run applications in a containerized environment.Author Graham Dumpleton provides the knowledge you need to make the best use of the OpenShift container platform to deploy not only your cloud-native applications, but also more traditional stateful applications. Developers and administrators will learn how to run, access, and manage containers in OpenShift, including how to orchestrate them at scale. Build application container images from source and deploy them; Implement and extend application image builders; Use incremental and chained builds to accelerate build times; Automate builds by using a webhook to link OpenShift to a Git repository; Add configuration and secrets to the container as project resources; Make an application visible outside the OpenShift cluster; Manage persistent storage inside an OpenShift container; Monitor application health and manage the application lifecycle. This book is a perfect follow-up to OpenShift for Developers: A Guide for Impatient Beginners (O’Reilly).
Deployment of Rare Earth Materials in Microware Devices, RF Transmitters, and Laser Systems
by A. R. Jha Ph. D.Deployment of Rare Earth Materials in Microware Devices, RF Transmitters, and Laser Systems describes the deployment of rare earth materials that offer significant improvement in the RF performance, reliability, weight, and size of microwave devices, RF transmitters, and laser systems. RF components, microware transmitters, laser systems, and special timing devices are described, with an emphasis on improvement in the performance parameters.
Der Enterprise Transformation Cycle: Theorie, Anwendung, Praxis
by Mario A. Pfannstiel Peter F.-J. SteinhoffDas Herausgeberwerk vermittelt fundiert und praxisnah, wie Unternehmen eine Transformation und das Transformationsmanagement mit der methodischen Vorgehensweise des Enterprise Transformation Cycle (ETC) meistern können. Der ETC ist ein modulares zielgerichtetes Regelkreissystem zur systematischen Transformation von Geschäftsprozessen, Systembereichen, Industrien, Unternehmen und Branchen. Er beschreibt nicht nur die Ideengenerierung, die Veränderung und die Wertschöpfung, sondern auch die operative und strategische Vorgehensweise bei der Umsetzung von Projekten. In den einzelnen Beiträgen werden neben einer theoretischen Einführung und einem Methodenteil auch praktische Umsetzungsbeispiele verschiedener Branchen vorgestellt und Handlungsempfehlungen für Unternehmen aufgezeigt. Das Buch richtet sich an Entscheidungsträger, Führungskräfte, Praktiker, Wissenschaftler, Verbände, Personalverantwortliche und Unternehmensberater.
Der vierte Parameter, Kurtosis und die logarithmische Varianz: Mathematisches Konstrukt Und Die Anwendungen In Den Naturwissenschaften (Essentials)
by Marcus HellwigMarcus Hellwig zeigt auf, wie Asymmetrie die Natur und deren Gesetze beherrscht. Er diskutiert, dass nichts, das zu beobachten und zu messen ist, mit vollständig symmetrischen Eigenschaften erscheint. Die logarithmische Equibalancedistribution Eqbl als Variante der Eqb soll dort Abhilfe schaffen, wo die allgegenwärtige Gauß`sche Normalverteilung vom Grundsatz her nicht anwendbar ist. Im Gegensatz zur Log-Normalverteilung haben aber alle Parameterwerte Bestand und erhalten zusätzlich Parameter für Schiefe und Kurtosis. Der Autor belegt die Ausführungen anhand praktischer Beispiele für Anwender.Der Autor Dipl.-Ing. Marcus Hellwig war Projektleiter bei einem deutschen, international agierenden Ingenieurbüro und ist Autor einiger Bücher.
Descriptional Complexity of Formal Systems: 20th IFIP WG 1.02 International Conference, DCFS 2018, Halifax, NS, Canada, July 25–27, 2018, Proceedings (Lecture Notes in Computer Science #10952)
by Stavros Konstantinidis Giovanni PighizziniThis book constitutes the proceedings of the 20th International Conference on Descriptional Complexity of Formal Systems, DCFS 2018, held in Halifax, NS, Canada, in July 2018. The 19 full papers presented were carefully reviewed and selected from 24 submissions.DCFS is an annual international working conference concerning the descriptional complexity of formal systems and structures and its applications. Topics of interest are related to all aspects of descriptional complexity and much more.
The Desert War: Book 4 of the Ladybird Expert History of the Second World War (The Ladybird Expert Series #10)
by James HollandPart of the ALL-NEW LADYBIRD EXPERT SERIES.____________Why was North Africa such a key component in Britain's success over Mussolini and his Italian Army?How did they blunt Italy's actions?What challenges did they face?And what new technologies were brought to bear?When fascist dictator Mussolini declared war against Britain he was taking a huge risk . . . Italy lacked natural resources, and Britain and France's wealth.He hoped to create a new Roman Empire across the Mediterranean and into Africa. And with Hitler and the Nazi's by his side he had a great chance of doing so - but what was it that stopped him?Discover the answers and more inside James Holland's The Desert War, the thrilling and accessible account that explains what happened, who the key figures were and the tactics, triumphs and failures on both sides . . .