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The Twitter Presidency: Donald J. Trump and the Politics of White Rage (NCA Focus on Communication Studies)
by Brian L. Ott Greg DickinsonThe Twitter Presidency explores the rhetorical style of President Donald J. Trump, attending to both his general manner of speaking as well as to his preferred modality. Trump’s manner, the authors argue, reflects an aesthetics of white rage, and it is rooted in authoritarianism, narcissism, and demagoguery. His preferred modality of speaking, namely through Twitter, effectively channels and transmits the affective dimensions of white rage by taking advantage of the platform’s defining characteristics, which include simplicity, impulsivity, and incivility. There is, then, a structural homology between Trump’s general communication practices and the specific platform (Twitter) he uses to communicate with his base. This commonality between communication practices and communication platform (manner and modality) struck a powerful emotive chord with his followers, who feel aggrieved at the decentering of white masculinity. In addition to charting the defining characteristics of Trump’s discourse, The Twitter Presidency exposes how Trump’s rhetorical style threatens democratic norms, principles, and institutions.
The Twittering Machine
by Richard SeymourA brilliant probe into the political and psychological effects of our changing relationship with social mediaFormer social media executives tell us that the system is an addiction-machine. We are users, waiting for our next hit as we like, comment and share. We write to the machine as individuals, but it responds by aggregating our fantasies, desires and frailties into data, and returning them to us as a commodity experience. The Twittering Machine is an unflinching view into the calamities of digital life: the circus of online trolling, flourishing alt-right subcultures, pervasive corporate surveillance, and the virtual data mines of Facebook and Google where we spend considerable portions of our free time. In this polemical tour de force, Richard Seymour shows how the digital world is changing the ways we speak, write, and think. Through journalism, psychoanalytic reflection and insights from users, developers, security experts and others, Seymour probes the human side of the machine, asking what we&’re getting out of it, and what we&’re getting into. Social media held out the promise that we could make our own history–to what extent did we choose the nightmare that it has become?
Type-2 Fuzzy Logic in Control of Nonsmooth Systems: Theoretical Concepts And Applications (Studies in Fuzziness and Soft Computing #373)
by Oscar Castillo Luis T. AguilarThis book presents the synthesis and analysis of fuzzy controllers and its application to a class of mechanical systems. It mainly focuses on the use of type-2 fuzzy controllers to account for disturbances known as hard or nonsmooth nonlinearities. The book, which summarizes the authors’ research on type-2 fuzzy logic and control of mechanical systems, presents models, simulation and experiments towards the control of servomotors with dead-zone and Coulomb friction, and the control of both wheeled mobile robots and a biped robot. Closed-loop systems are analyzed in the framework of smooth and nonsmooth Lyapunov functions.
Ubiquitous Communications and Network Computing: Second EAI International Conference, Bangalore, India, February 8–10, 2019, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #276)
by Navin Kumar R. Venkatesha PrasadThis book constitutes the refereed proceedings of the Second International Conference on Ubiquitous Communications and Network Computing, UBICNET 2019, held in Bangalore, India, in February 2019. The 19 full papers were selected from 52 submissions and are basically arranged in different sessions on security and energy efficient computing, software defined networks, cloud computing and internet of things applications, and the advanced communication systems and networks.
Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT (Studies in Computational Intelligence #826)
by Elena G. PopkovaThis book gathers the outcomes of several scientific events that were organized and conducted by the Institute of Scientific Communications (Volgograd, Russia) and the leading universities of the Volgograd region. The contributing authors include more than 700 scholars from various cities and regions of Russia. 124 works were selected out of 3,000 papers on the preconditions of formation, transformation, and legal provision of social institutes, topics that are in high demand in connection with a core aspect of digital modernization – the Internet of Things. The book is intended for a broad target audience, including scholars of various generations and various disciplines. These include young researchers (undergraduates and postgraduates) and recognized scholars (professors and lecturers) who study the socio-economic and legal consequences of the emergence and dissemination of digital technologies, including the Internet of Things. In addition, the book will benefit all those who are interested in the development of the information society, information and telecommunication, and digital technologies. The content is divided into three logical parts, the first of which is devoted to the essence of the process of institutionalization and legal regulation of the information society. In the second part, the digital economy is analyzed in view of the spheres of the national economy. In the third, the authors study the peculiarities of state and corporate regulation, infrastructural provision and support for the security of entrepreneurship, which are currently developing on the basis of the Internet of Things.
Ultimate Performance Analysis Tool: Implementation Of Network Measures Based On Adjacency Matrices For Team Sports (SpringerBriefs in Applied Sciences and Technology)
by Fernando Manuel Martins Acácio F.P.P. Correia Frutuoso G. Silva Filipe Manuel Clemente Quoc Trong NguyenThis book introduces the ultimate performance analysis tool (uPATO) as a new software to compute social network metrics in the scope of team sports analysis. The reader will identify the algorithms to test the general properties of the team, the co-dependencies and the centrality levels of players, i.e. to evaluate the individual, sub-group, and team performance analysis. As uPATO tool implements the metrics for all options, namely for unweighted graphs, weighted graphs, unweighted digraphs and weighted digraphs, it is also useful for network analysis into other areas beyond team sports. The book assists the reader to compute the metrics and to use it in different scenarios.
The Ultimate Unofficial Encyclopedia for Minecrafters: An A–Z Guide to the Mysteries of the Deep (Encyclopedia for Minecrafters)
by Megan MillerFrom the New York Times bestselling author of Hacks for Minecrafters comes a whole new encyclopedia on the underwater world of Minecraft! What's a Red-Lipped Blenny? How can you find more buried treasure? Where do you find blue ice, and why is it valuable? For Minecraft knowledge hunters, ocean animal-lovers, and adventurers ready for the Minecraft life aquatic, this encyclopedia of the underwater world of Minecraft is a game-changing resource. Find out all you need know in this easy-to-use, A to Z, illustrated encyclopedia covering everything from anemones to underwater zombies. You&’ll learn how to: Build an aquariumActivate a conduitFind the precious Heart of the SeaUse dolphins to uncover shipwrecks and other underwater ruinsAnd more! Armed with this helpful guide to all the resources the sea has to offer, you'll be ready to fight, craft, mine, and thrive in the watery depths of Minecraft with The Ultimate Unofficial Encyclopedia for Minecrafters: Aquatic.
Ultimate Unofficial Survival Tactics for Fortnite Battle Royale: Sharpshooter Secrets For Mastering Your Arsenal (Ultimate Unofficial Survival Tactics for)
by Jason R. RichThe Ultimate Guide to Fortnite Weapon Use Strategy Power up your arsenal with Ultimate Unofficial Survival Tactics for Fortnite Battle Royale: Sharpshooter Secrets for Mastering Your Arsenal! This full-color, comprehensive guide unlocks the weapons and items offered within the game and shows you how to best use them. Inside, you’ll find in-depth strategies and techniques for achieving accurate aim, how to accomplish headshots, and how to make the best use of explosive and projectile weapons. Whether you’re on a PC, Mac, Playstation 4, Xbox One, Nintendo Switch, Apple iPhone, Apple iPad, or Android-based gaming system, you’ll learn how to utilize more than one hundred different types of weapons in order to achieve #1 Victory Royale. Learn the secrets to each weapon’s ammo type, capabilities, strengths, and weaknesses in order to use it effectively in a firefight. Additionally, you will develop a thorough understanding of the weapons, ammo types, and items available, and you will learn proven strategies for putting together the perfect personal arsenal for each phase of a match—including the End Game. • Master close-range, mid-range, and long-range combat techniques • Learn how to use weapons and items to build your skills and win battles and firefights • Know how, when, and where to find weapons and ammo • Find out how utilize loot items that serve as weapons, including Grenades, Clingers, Remote Explosive, Stink Bombs, etc. • Learn how to strategize your survival by utilizing health and shield powerups
Ultimate Unofficial Survival Tactics for Fortnite Battle Royale: Discover the Island's Best Loot (Ultimate Survival Tactics for Fortnite B)
by Jason R. RichBe first to find the best loot and battle your way to victory! Ultimate Unofficial Survival Tactics for Fortnite Battle Royale: Discover the Island’s Best Loot offers a comprehensive overview of the game, and includes strategies for survival, building, exploration, and engaging in combat that every gamer must master to ultimately achieve success. Inside, you’ll discover what’s available and how to find and acquire the many different types of weapons, ammo, loot items, and resources, and learn proven strategies for using each item in a variety of situations that’ll aid in your survival and battle victories. Whether you’re using a PC, Mac, Playstation 4, Xbox One, Nintendo Switch, Apple iPhone, Apple iPad, or Android-based mobile device, this unofficial, full-color strategy guide will introduce you to the many different items that can be found, collected, and utilized during your stay on the island. Learn to assess situations and collect the best arsenal to meet your challengesFind your key to survival by knowing when and how to use your arsenalMaster strategies for survival, building, and explorationLearn the best way to engage in combat, which every gamer must master to achieve success
Ultimate Unofficial Survival Tactics for Fortnite Battle Royale: Mastering Game Settings for Victory (Ultimate Survival Tactics for Fortnite B)
by Jason R. RichThe Essential Guide to Maximizing Your Settings in Fortnite Battle Royale! Unlock a plethora of gaming tips and strategies to achieve victory! Ultimate Unofficial Survival Tactics for Fortnite Battle Royale: Mastering Game Settings for Victory explains to readers what each customizable setting within the game is used for and helps gamers fine-tune these settings to meet their unique needs. This full-color, unofficial guide will focus on customizing the game’s options and settings when playing on a PC or Mac, console-based gaming system, and/or on a mobile device. Using easy-to-understand explanations, along with hundreds of full-color screenshots, Ultimate Unofficial Survival Tactices for Fortnite Battle Royale: Mastering Game Settings for Victory will quickly become an indispensable resource for gamers looking to enhance and fully personalize their gaming experience. Learn the best uses for the 100+ user-customizable options in the gameFine-tune the game’s settings to enhance your gaming style, experience, and strengths as a playerImprove your performance by mastering the settings that fit your game-play
UnBlock the Blockchain
by Nitin UpadhyayThis book presents a state-of-the-art overview of blockchains, a significant innovation that has already started to redesign business, social and political interactions. The technology is attracting considerable interest among researchers in industry and academia wanting to study and leverage the potential of blockchains to provide a decentralized and distributed public ledger for all the participating parties.Comprehensively discussing the current and future challenges, opportunities, applications, business models and values, the book appeals to diverse stakeholders, scholars, practitioners and business leaders interested in blockchains.
Unblocked: How Blockchains Will Change Your Business (and What to Do About It)
by Alison McCauleyRemember the dawn of the internet or the advent of mobile computing and social media? Yet another digital revolution is now underway. Like its predecessors, blockchains are about to transform the way we live, work, and play, while disrupting entrenched industries and shattering conventional business models.This practical guide takes you past the hype to show you exactly what blockchains do and how they’re poised to change our world. Author Alison McCauley explains how blockchains provide an open, distributed ledger for recording transactions in a verifiable and permanent way. You will learn how this technology provides an abundance of opportunity for those who know how to leverage blockchains to address privacy risks, hacks, data misuse, and fraud.Unblocked explains:Why ignoring this technology exposes you to competitive disruptionWhat this new technology revolution embraces—no technical background requiredHow to prepare your organization to respond to the coming shift
Uncertain Archives: Critical Keywords for Big Data
by Nanna Bonde Thylstrup Daniela Agostinho Annie Ring Catherine D'Ignazio Kristin VeelScholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability.This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.
Uncertain Optimal Control (Springer Uncertainty Research Ser.)
by Yuanguo ZhuThis book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games. The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.
Uncertain Renewal Processes (Springer Uncertainty Research)
by Kai YaoThis book explores various renewal processes in the context of probability theory, uncertainty theory and chance theory. It also covers the applications of these renewal processes in maintenance models and insurance risk models. The methods used to derive the limit of the renewal rate, the reward rate, and the availability rate are of particular interest, as they can easily be extended to the derivation of other models. Its comprehensive and systematic treatment of renewal processes, renewal reward processes and the alternating renewal process is one of the book’s major features, making it particularly valuable for readers who are interested in learning about renewal theory. Given its scope, the book will benefit researchers, engineers, and graduate students in the fields of mathematics, information science, operations research, industrial engineering, etc.
Uncertainty Data in Interval-Valued Fuzzy Set Theory: Properties, Algorithms and Applications (Studies in Fuzziness and Soft Computing #367)
by Barbara PękalaThis book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures: First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings (Lecture Notes in Computer Science #11840)
by Hayit Greenspan Ryutaro Tanno Marius Erdt Tal Arbel Christian Baumgartner Adrian Dalca Carole H. Sudre William M. Wells Klaus Drechsler Marius George Linguraru Cristina Oyarzun Laura Raj Shekhar Stefan Wesarg Miguel Ángel González BallesterThis book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
Uncertainty Modelling in Data Science (Advances in Intelligent Systems and Computing #832)
by Sébastien Destercke Thierry Denoeux María Ángeles Gil Przemyslaw Grzegorzewski Olgierd HryniewiczThis book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17–21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling, linguistic summaries, model coherence, imprecise Markov chains, and robust optimisation. These proceedings were produced using EasyChair.Over recent decades, interest in extensions and alternatives to probability and statistics has increased significantly in diverse areas, including decision-making, data mining and machine learning, and optimisation. This interest stems from the need to enrich existing models, in order to include different facets of uncertainty, like ignorance, vagueness, randomness, conflict or imprecision. Frameworks such as rough sets, fuzzy sets, fuzzy random variables, random sets, belief functions, possibility theory, imprecise probabilities, lower previsions, and desirable gambles all share this goal, but have emerged from different needs.The advances, results and tools presented in this book are important in the ubiquitous and fast-growing fields of data science, machine learning and artificial intelligence. Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions. In addition, extensions such as fuzzy sets can be explicitly designed to provide interpretable predictive models, facilitating user interaction and increasing trust.
Unconventional Computation and Natural Computation: 18th International Conference, UCNC 2019, Tokyo, Japan, June 3–7, 2019, Proceedings (Lecture Notes in Computer Science #11493)
by Shinnosuke Seki Ian McQuillanThis book constitutes the proceedings of the 18th International Conference on Unconventional Computation and Natural Computation, UCNC 2019, held in Tokyo, Japan, in June 2019.The 19 full papers presented were carefully reviewed and selected from 32 submissions. The papers cover topics such as hypercomputation; chaos and dynamical systems based computing; granular, fuzzy and rough computing; mechanical computing; cellular, evolutionary, molecular, neural, and quantum computing; membrane computing; amorphous computing, swarm intelligence; artificial immune systems; physics of computation; chemical computation; evolving hardware; the computational nature of self-assembly, developmental processes, bacterial communication, and brain processes.
Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists
by Tobias BaerAre algorithms friend or foe?The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we decide not take a bite of food that appears to have gone bad. However, inherent bias negatively affects work environments and the decision-making surrounding our communities. While the creation of algorithms and machine learning attempts to eliminate bias, they are, after all, created by human beings, and thus are susceptible to what we call algorithmic bias.In Understand, Manage, and Prevent Algorithmic Bias, author Tobias Baer helps you understand where algorithmic bias comes from, how to manage it as a business user or regulator, and how data science can prevent bias from entering statistical algorithms. Baer expertly addresses some of the 100+ varieties of natural bias such as confirmation bias, stability bias, pattern-recognition bias, and many others. Algorithmic bias mirrors—and originates in—these human tendencies. Baer dives into topics as diverse as anomaly detection, hybrid model structures, and self-improving machine learning. While most writings on algorithmic bias focus on the dangers, the core of this positive, fun book points toward a path where bias is kept at bay and even eliminated. You’ll come away with managerial techniques to develop unbiased algorithms, the ability to detect bias more quickly, and knowledge to create unbiased data. Understand, Manage, and Prevent Algorithmic Bias is an innovative, timely, and important book that belongs on your shelf. Whether you are a seasoned business executive, a data scientist, or simply an enthusiast, now is a crucial time to be educated about the impact of algorithmic bias on society and take an active role in fighting bias.What You'll LearnStudy the many sources of algorithmic bias, including cognitive biases in the real world, biased data, and statistical artifactUnderstand the risks of algorithmic biases, how to detect them, and managerial techniques to prevent or manage themAppreciate how machine learning both introduces new sources of algorithmic bias and can be a part of a solutionBe familiar with specific statistical techniques a data scientist can use to detect and overcome algorithmic biasWho This Book is ForBusiness executives of companies using algorithms in daily operations; data scientists (from students to seasoned practitioners) developing algorithms; compliance officials concerned about algorithmic bias; politicians, journalists, and philosophers thinking about algorithmic bias in terms of its impact on society and possible regulatory responses; and consumers concerned about how they might be affected by algorithmic bias
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
by Muhammad Summair Raza Usman QamarThis book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms.The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.
Understanding Azure Data Factory: Operationalizing Big Data And Advanced Analytics Solutions
by Sudhir Rawat Abhishek NarainImprove your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization's custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data movement and the connectivity capability of Azure Data Factory. You will learn about the support for hybrid data integration from disparate sources such as on-premise, cloud, or from SaaS applications. Detailed guidance is provided on how to transform data and on control flow. Demonstration of operationalizing the pipelines and ETL with SSIS is included. You will know how to leverage Azure Data Factory to run existing SSIS packages. As you advance through the book, you will wrap up by learning how to create a single pane for end-to-end monitoring, which is a key skill in building advanced analytics and big data pipelines. What You'll LearnUnderstand data integration on Azure cloudBuild and operationalize an ADF pipelineModernize a data warehouseBe aware of performance and security considerations while moving data Who This Book Is ForData engineers and big data developers. ETL (extract, transform, load) developers also will find the book useful in demonstrating various operations.
Understanding Azure Monitoring: Includes IaaS and PaaS Scenarios
by Bapi Chakraborty Shijimol Ambi KarthikeyanExplore the architectural constructs of Azure monitoring capabilities and learn various design and implementation aspects for complex use cases. This book covers the different scenarios in a modern-day multi-cloud enterprise and the tools available in Azure for monitoring and securing these environments. Understanding Azure Monitoring starts by discussing the rapid changes happening in the cloud and the challenges faced by cloud architects. You will then look at the basics of Azure monitoring and the available tools, including service level agreements (SLAs), auditing, and security. Next, you will learn how to select the best tools for monitoring, operational strategy, and integration with on-premises SIEM systems. You’ll work through some scenario-based examples to monitor the workload and respond to failures. Here, you will monitor a simple web application on Azure, a multi-region web application, and applications that include PaaS and IaaS services. Towards the end of the book, you will explore monitoring in DevOps and see why it is important to be aware of continuous changes. What You Will LearnWork with Azure IaaS and PaaS resources and monitoring and diagnostics capabilitiesDiscover how the operational landscape changes on AzureLook at cloud-only and on-premises hybrid integrationStudy architectural constructs for design and implementationWho This Book Is ForInfrastructure and solution architects who want to integrate Azure-based monitoring solutions in a cloud native or hybrid-cloud architecture.
Understanding Cisco Networking Technologies: Volume 1 Exam 200-301
by Todd LammleCovers the core elements of the CCNA certification: Understand the fundamental principles of computer networking Learn about network components, services, and infrastructure Prepare for the next steps toward Cisco certification Read BEFORE the CCNA Certification Study Guide, Volume 2 — Covers core CiscoTM network technologies Understanding Cisco Networking Technologies, Volume 1, is your first step on the path to preparing for Cisco's EXAM 200-301: Implementing and Administering Cisco Networking Technologies certification and the world of Internetworking. Cisco certification is a perfect way to enter the IT sector or advance your current IT career. Cisco Certified Network Associate (CCNA) is the associate-level certification that validates your ability to implement and administer a wide range of IT networking technologies. This book covers everything you need to know for preparing for both your CCNA studies and the future of your career. You will gain a solid foundational knowledge of networking and develop real-world network management skills. Clear, easy-to-follow chapters cover topics such as the basics of the Open Systems Interconnection (OSI) model, ethernet networking, TCP/IP, the Cisco Internetworking Operating System (IOS) and command-line interface (CLI), router configuration and management, and much more. Throughout the text, practice examples reinforce key information and what you need to know for the CCNA exam. In-depth yet highly readable, Understanding Cisco Networking Technologies is a must-have for anyone thinking of entering the IT profession, preparing for the CCNA certification, or wanting to develop a strong understanding of core Cisco networking technologies. Learn about: Open systems interconnection Ethernet networking and data encapsulation Internet Protocol and IP addressing Subnetting a network Troubleshooting IP issues Managing a Cisco internetwork Configuring network devices IP addressing and static, default and dynamic routing Wide Area Network (WAN) protocols ABOUT THE CISCO CCNA PROGRAM The Cisco Certified Network Associate (CCNA) program prepares candidates for associate-level job roles in IT technologies. The CCNA exam tests a candidate's knowledge and skills related to network fundamentals, network access, IP connectivity, IP services, security fundamentals, and automation and programmability. Visit www.cisco.com/c/en/us/training- events.html for more information.
Understanding Game Application Development: With Xamarin. Forms And Asp. Net
by Vincent Maverick S. DuranoLearn to build a simple data-driven mobile game application using the power of Xamarin.Forms, ASP.NET, the Web API, and SignalR with this short book. In it you will build a cross-platform mobile application that targets both iOS and Android, connect your app with your database using Entity Framework, and implement real-time syncing functionality using SignalR. Understanding Game Application Development starts by giving you an overview of the development tools, an installation guide, and a list of prerequisites. You will learn how to manage application flow, create your workspace, and set up your database. Next, you will see how to access data for handling CRUD operations and define the necessary API endpoints. Further, you will build a mobile application with Xamarin.Forms, both in iOS and in Android. You will also understand the deployment and testing process as well as how to build a real-time leader board using ASP.NET MVC and SignalR. Finally, you will understand how to publish your source code on GitHub from Visual Studio 2017.What You Will LearnUnderstand the basic concept and fundamentals of the technologies used for building the applicationsSet up your development environmentCreate a SQL database from scratch Implement a data access layerDefine REST service endpoints using the Web APIDeploy, test, and debug iOS and Android applicationsPush your source code to GitHubWho This Book Is For.NET developers who want to jump on mobile application development with Xamarin and learn with practical examples.