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Wiley-VCH - Computer Science
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Resource Management for On-Demand Mission-Critical Internet of Things Applications
RESOURCE MANAGEMENT FOR ON-DEMAND MISSION-CRITICAL INTERNET OF THINGS APPLICATIONS Discover an insightful and up-to-date treatment of resource management in Internet of Things technology In Resource Management for On-Demand Mission-Critical Internet of Things -Applications, an expert team of engineers delivers an insightful analytical perspective on modeling and decision support for mission-critical Internet of Things applications. The authors dissect the complex IoT ecosystem and provide a cross-layer perspective on the design and operation of IoT, especially in the context of smart and connected communities. The book offers an economic perspective on resource management in IoT systems with a particular emphasis on three main areas: spectrum management via reservation, allocation of cloud/fog resources to IoT applications, and resource provisioning to smart city service requests. It leverages theories from dynamic mechanism design, optimal control theory, and spatial point processes, providing an overview of integrated decision-making frameworks. Finally, the authors discuss future directions and relevant problems on the economics of resource management from new perspectives, like security and resilience. Readers will also enjoy the inclusion of: * A thorough introduction and overview of IoT applications in smart cities, mission critical IoT services and requirements, and key metrics and research challenges * A comprehensive exploration of the allocation of spectrum resources to mission critical IoT applications, including the massive surge of IoT and spectrum scarcity problem * Practical discussions of the provisioning of cloud/fog computing resources to IoT applications, including allocation policy * In-depth examinations of resource provisioning to spatio-temporal service requests in smart cities Perfect for engineers working on Internet of Things and cyber-physical systems, Resource Management for On-Demand Mission-Critical Internet of Things Applications is also an indispensable reference for graduate students, researchers, and professors with an interest in IoT resource management. [224 Pages, Hardcover]
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The NFT Handbook
The NFT Handbook is a detailed guide on how to create, sell and buy non-fungible tokens without the need for a technical background. Learn exactly what NFTs are, how they evolved, and why they have value. We'll delve into the different types and aspects of NFTs and discuss the different NFT marketplaces and the pros and cons of each. * Create Your Own NFTs: Step by step instructions on all aspects of NFT creation, including what types of content to use, where to source content, adding artistic design, writing the NFT's description, adding optional unlockable content and setting an optional ongoing royalty. * Mint Your NFTs: You'll learn the process of how to get your NFTs on the blockchain. * Sell Your NFTs: We'll go through the whole process including creating a collection, and the different options such as setting a price or starting an auction. * Buy NFTs: What you'll need to bid on and purchase NFTs, and how to avoid getting scammed. * You'll also get a primer on blockchain, particularly the Ethereum cryptocurrency and "gas" fees. You'll also be shown step by step how to create, secure and fund your own cryptocurrency wallet, where you'll store your NFTs and cryptocurrency. Whether you're experienced with the blockchain and crypto or a complete noob (beginner), The NFT Handbook will guide you in the process of creating, minting, selling and buying NFTs. [288 Pages, Softcover]
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Python für Ingenieure für Dummies
Lernen Sie, mithilfe von Anwendungsbeispielen aus dem Ingenieuralltag, wie Sie technische Probleme durch Python-Code repräsentieren und lösen sowie die Ergebnisse visualisieren können. [416 Pages, Softcover]
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Meine digitale Sicherheit Tipps und Tricks für Dummies
In diesem Buch wird kurz und bündig dargestellt, welche Maßnahmen zu ergreifen sind, um die private IT-Sicherheit zu erhöhen. [176 Pages, Softcover]
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Text as Data
Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how approaching text as qualitative data within a quantitative analytics framework produces more detailed, accurate, and explanatory results. * Understand the role of linguistics, machine learning, and multiple data sources in the text analytics workflow * Understand how a range of quantitative algorithms and data representations reflect contextual effects to shape meaning and understanding * Access online data and code repositories, videos, tutorials, and case studies * Learn how SAS extends quantitative algorithms to produce expanded text analytics capabilities * Redefine text in terms of data for more accurate analysis This book offers a thorough introduction to the framework and dynamics of text analytics--and the underlying principles at work--and provides an in-depth examination of the interplay between qualitative-linguistic and quantitative, data-driven aspects of data analysis. The treatment begins with a discussion on expression parsing and detection and provides insight into the core principles and practices of text parsing, theme, and topic detection. It includes advanced topics such as contextual effects in numeric and textual data manipulation, fine-tuning text meaning and disambiguation. As the first resource to leverage the power of SAS for text analytics, Text as Data is an essential resource for SAS users and data scientists in any industry or academic application. [240 Pages, Hardcover]
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