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National Cyber Summit (Lecture Notes in Networks and Systems #310)
by Kim-Kwang Raymond Choo Gilbert Peterson Tommy Morris Eric ImsandThis book presents findings from the papers accepted at the Cyber Security Education Stream and Cyber Security Technology Stream of The National Cyber Summit’s Research Track, reporting on latest advances on topics ranging from software security to cyber-attack detection and modelling to the use of machine learning in cyber security to legislation and policy to surveying of small businesses to cyber competition, and so on. Understanding the latest capabilities in cyber security ensures users and organizations are best prepared for potential negative events. This book is of interest to cyber security researchers, educators and practitioners, as well as students seeking to learn about cyber security.
National Security Issues in Science, Law, and Technology
by Thomas A. JohnsonUsing the best scientific decision-making practices, this book introduces the concept of risk management and its application in the structure of national security decisions. It examines the acquisition and utilization of all-source intelligence and addresses reaction and prevention strategies applicable to chemical, biological, and nuclear weapons; agricultural terrorism; cyberterrorism; and other potential threats to our critical infrastructure. It discusses legal issues and illustrates the dispassionate analysis of our intelligence, law enforcement, and military operations and actions. The book also considers the redirection of our national research and laboratory system to investigate weapons we have yet to confront.
National Security Research on the Internet
by William M. ArkinGuide to research on the internet on national security issues.
National Security, Personal Privacy and the Law: Surveying Electronic Surveillance and Data Acquisition (Routledge Research in Terrorism and the Law)
by Sybil SharpeThere have been significant changes in public attitudes towards surveillance in the last few years as a consequence of the Snowden disclosures and the Cambridge Analytica scandal. This book re-evaluates competing arguments between national security and personal privacy. The increased assimilation between the investigatory powers of the intelligence services and the police and revelations of unauthorised surveillance have resulted in increased demands for transparency in information gathering and for greater control of personal data. Recent legal reforms have attempted to limit the risks to freedom of association and expression associated with electronic surveillance. This book looks at the background to recent reforms and explains how courts and the legislature are attempting to effect a balance between security and personal liberty within a social contract. It asks what drives public concern when other aspects seem to be less contentious. In view of our apparent willingness to post on social media and engage in online commerce, it considers if we are truly consenting to a loss of privacy and how this reconciles with concerns about state surveillance.
National Spatial Data Infrastructure Partnership Programs: Rethinking the Focus
by National Research CouncilThe National Academies Press (NAP)--publisher for the National Academies--publishes more than 200 books a year offering the most authoritative views, definitive information, and groundbreaking recommendations on a wide range of topics in science, engineering, and health. Our books are unique in that they are authored by the nation's leading experts in every scientific field.
Native Ads
by Brian GravesBasically, what we are doing in this special method is that we send cheap traffic to simple domains we own that have sponsored ads on them. How do we get the ads on the domains? We simply park the domain with a provider that will put the ads on our domain automatically.
Native Advertising: Digitale Werbung Mit Nativen Kampagnen
by Coskun Tuna Cevahir EjderDieses Buch erklärt kompakt und auf den Punkt, was Native Advertising ist, wie diese neue Werbedisziplin funktioniert und welche Vorteile sie Werbungtreibenden bietet. Die Autoren – selber Vorreiter in dieser jungen Branche – geben einen aktuellen Überblick mit wichtigen Daten und Fakten, erklären alle nativen Werbeformate im Detail und beschreiben die Technologien sowie die durchaus kontrovers diskutierten Rollen der einzelnen Player dabei: Publisher, Advertiser und Konsumenten.Ein Praxisleitfaden für alle, die an Online-Werbung jenseits von Bannern und Rectangles interessiert sind, um ihren Produkten mit sensibel gestalteten und gut ausgesteuerten nativen Kampagnen mehr Glaubwürdigkeit und Sympathie zu verleihen.
Native Advertising: The Essential Guide
by Dale LovellNative advertising: paid-for media that looks and behaves like the content around it. It affects us all. If you own a smartphone, use social media or read content online, you will have been exposed to it - often without realizing. Influenced by digital trends such as mobile advertising, programmatic advertising, ad-blocking, fake news and artificial intelligence, native advertising is a multibillion-dollar industry. It is central to the digital success of many leading brands and companies.This comprehensive study by one of the industry's foremost authorities explores the rise of this exhilarating new channel - its impact on the digital media space, and what marketers and businesses need to know about it. This book explores the future of digital advertising and explains why its growth is inevitable, using real-life examples and interviews from marketing leaders around the world and a range of case studies including The New York Times and The Independent.Native Advertising goes beyond sponsored posts on Facebook, promoted tweets and BuzzFeed branded articles. It looks at the heart of the matter: audience, budget, content and success measurement. It is full of first-hand advice for any marketer wanting to make the most of digital innovation.
Native Docker Clustering with Swarm
by Chanwit Kaewkasi Fabrizio SoppelsaDeploy, configure, and run clusters of Docker containers with Swarm About This Book • Get to grips with Docker Swarm, one of the key components of the Docker ecosystem. • Optimize Swarm and SwarmKit features for scaling massive applications through containers. • Learn about Docker's scheduling tricks, high availability, security, and platform scalability. Who This Book Is For If you are a Linux admin or a Docker user who wants to natively manage Docker clusters, then this is the book for you. What You Will Learn • Create and manage Swarm Mode clusters of any size • Get a backstage view of the biggest Swarms ever built : Swarm2k and Swarm3k, with their 2,300 and 4,700 nodes • Discovery mechanisms and Raft • Deploy your containerized app on Swarm • Administer Swarm clusters on AWS, Azure, and DigitalOcean • Integrate Flocker volumes with Swarm • Create and manage Swarms on OpenStack Magnum In Detail Docker Swarm serves as one of the crucial components of the Docker ecosystem and offers a native solution for you to orchestrate containers. It's turning out to be one of the preferred choices for Docker clustering thanks to its recent improvements. This book covers Swarm, Swarm Mode, and SwarmKit. It gives you a guided tour on how Swarm works and how to work with Swarm. It describes how to set up local test installations and then moves to huge distributed infrastructures. You will be shown how Swarm works internally, what's new in Swarmkit, how to automate big Swarm deployments, and how to configure and operate a Swarm cluster on the public and private cloud. This book will teach you how to meet the challenge of deploying massive production-ready applications and a huge number of containers on Swarm. You'll also cover advanced topics that include volumes, scheduling, a Libnetwork deep dive, security, and platform scalability. Style and approach A comprehensive guide that covers all aspects of Docker Swarm from setup to customization.
Native Mobile Development: A Cross-Reference for iOS and Android
by Shaun Lewis Mike DunnLearn how to make mobile native app development easier. If your team frequently works with both iOS and Android—or plans to transition from one to the other—this hands-on guide shows you how to perform the most common development tasks in each platform. Want to learn how to make network connections in iOS? Or how to work with a database in Android? This book has you covered.In the book’s first part, authors Shaun Lewis and Mike Dunn from O’Reilly’s mobile engineering group provide a list of common, platform-agnostic tasks. The second part helps you create a bare-bones app in each platform, using the techniques from part one.Common file and database operationsNetwork communication with remote APIsApplication lifecycleCustom views and componentsThreading and asynchronous workUnit and integration testsConfiguring, building, and running an app on a device
NativeScript for Angular Mobile Development
by Nathanael J. Anderson Nathan WalkerLearn NativeScript to build native mobile applications with Angular, TypeScript, JavaScript About This Book • Power packed hands-on guide to help you become pro-efficient with NativeScript • Harness the power of your web development skills with JavaScript and Angular to build cross-platform mobile apps • Create highly maintainable and feature-rich apps with TypeScript and NativeScript APIs Who This Book Is For This book assumes you have a general understanding of TypeScript, have heard of NativeScript and know what it's about, and are familiar with Angular (2.0). You don't need to be an expert in any of these technologies, but having some sense of them before reading is recommended this book, which is ideal for intermediate to advanced users. What You Will Learn • Bootstrap a NativeScript for Angular app • Best practices for project organization • Style your app with CSS/SASS • Use Angular together with NativeScript to create cross-platform mobile apps • Take advantage of powerful Angular features, such as Dependency Injection, Components, Directives, Pipes, and NgModules right within your NativeScript apps •Gain insight into great project organization and best practices •Use Objective C/Swift and Java APIs directly from TypeScript •Use rich framework features and third-party plugins •Style your app with CSS/SASS •Integrate @ngrx/store + @ngrx/effects to help with state management •Test your app with Karma and Appium In Detail NativeScript is an open source framework that is built by Progress in order to build truly native mobile apps with TypeScript, JavaScript or just Angular which is an open source framework built by Google that offers declarative templates, dependency injection, and fully featured modules to build rich applications. Angular's versatile view handling architecture allows your views to be rendered as highly performant UI components native to iOS and Android mobile platforms. This decoupling of the view rendering layer in Angular combined with the power of native APIs with NativeScript have together created the powerful and exciting technology stack of NativeScript for Angular. This book focuses on the key concepts that you will need to know to build a NativeScript for Angular mobile app for iOS and Android. We'll build a fun multitrack recording studio app, touching on powerful key concepts from both technologies that you may need to know when you start building an app of your own. The structure of the book takes the reader from a void to a deployed app on both the App Store and Google Play, serving as a reference guide and valuable tips/tricks handbook. By the end of this book, you'll know majority of key concepts needed to build a successful NativeScript for Angular app. Style and approach This step-by-step advanced tutorial focuses on the key concepts you need to know to build a NativeScript for Angular mobile app for iOS and Android.
Natur filmen und fotografieren für Dummies (Für Dummies)
by Svenja Schieke Ralph SchiekeFangen Sie spannende Motive in der Natur ein – mit Ihrer Kamera Schon mit wenig Ausrüstung können Sie wunderbare Momente festhalten – nicht nur in Einzelbildern, sondern auch im Film. Wie Sie Landschaften und Tiere filmen und fotografieren, lernen Sie in diesem Buch. Svenja und Ralph Schieke zeigen Ihnen Schritt für Schritt von der Planung bis zur Veröffentlichung, wie spannende und interessante Naturfotografien und Naturfilme mit dem gewissen Etwas entstehen. Sie erfahren, wie Sie Motive finden, welche Ausrüstung Sie benötigen, was Sie bei den Aufnahmen beachten müssen und wie Sie Ihre Ergebnisse weiter bearbeiten. Sie erfahren Wie Sie auch mit Ihrem Smartphone gelungene Aufnahmen machen Warum sich die Stadt nicht verstecken muss, wenn es um Naturaufnahmen gehtWie Sie einen Film planen und in der Natur Schritt für Schritt umsetzenWo Sie Ihre Aufnahmen präsentieren können
Natural Computing for Unsupervised Learning (Unsupervised and Semi-Supervised Learning)
by Ka-Chun Wong Xiangtao LiThis book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and others. The book also includes information on the use of natural computing techniques for unsupervised learning tasks. It features several trending topics, such as big data scalability, wireless network analysis, engineering optimization, social media, and complex network analytics. It shows how these applications have triggered a number of new natural computing techniques to improve the performance of unsupervised learning methods. With this book, the readers can easily capture new advances in this area with systematic understanding of the scope in depth. Readers can rapidly explore new methods and new applications at the junction between natural computing and unsupervised learning. Includes advances on unsupervised learning using natural computing techniquesReports on topics in emerging areas such as evolutionary multi-objective unsupervised learning Features natural computing techniques such as evolutionary multi-objective algorithms and many-objective swarm intelligence algorithms
Natural Deduction, Hybrid Systems and Modal Logics
by Andrzej IndrzejczakThis book provides a detailed exposition of one of the most practical and popular methods of proving theorems in logic, called Natural Deduction. It is presented both historically and systematically. Also some combinations with other known proof methods are explored. The initial part of the book deals with Classical Logic, whereas the rest is concerned with systems for several forms of Modal Logics, one of the most important branches of modern logic, which has wide applicability.
Natural Hazard Zonation of Bihar (India) Using Geoinformatics
by Tuhin Ghosh Anirban MukhopadhyayWith increased climate variability, aggravated natural hazards in the form of extreme events are affecting the lives and livelihoods of many people. This work serves as a basis for formulating a 'preparedness plan' to ensure the effective policy formulation for planned development. Increased demand and competition with a high degree of variability have forced people to struggle in order to prosper. Good governance and innovative policy formulation are necessary to create a resilient society. This may promote a paradigm shift in the mindset on and perceptions of natural hazards and their impacts on development and growth. This new perspective will make people more concerned about minimizing the loss of life, property, and environmental damage and directly safeguard the development process. This book presents a detailed methodological approach to monitoring meteorological, hydrological, and climate change aspects to help resolve issues related to our environment, resources, and economies in the changing climate situation.
Natural Interaction with Robots, Knowbots and Smartphones
by Joseph Mariani Sophie Rosset Martine Garnier-Rizet Laurence DevillersThese proceedings presents the state-of-the-art in spoken dialog systems with applications in robotics, knowledge access and communication. It addresses specifically: 1. Dialog for interacting with smartphones; 2. Dialog for Open Domain knowledge access; 3. Dialog for robot interaction; 4. Mediated dialog (including crosslingual dialog involving Speech Translation); and,5. Dialog quality evaluation. These articles were presented at the IWSDS 2012 workshop.
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-Source LLMs (SpringerBriefs in Computer Science)
by Paulo Novais Dalila Durães Francisco S. Marcondes Adelino Gala Renata Magalhães Fernando Perez de BrittoThis book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights. The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure. Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data—qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows.
Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications
by James Pustejovsky Amber StubbsCreate your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started.Using detailed examples at every step, you’ll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project.Define a clear annotation goal before collecting your dataset (corpus)Learn tools for analyzing the linguistic content of your corpusBuild a model and specification for your annotation projectExamine the different annotation formats, from basic XML to the Linguistic Annotation FrameworkCreate a gold standard corpus that can be used to train and test ML algorithmsSelect the ML algorithms that will process your annotated dataEvaluate the test results and revise your annotation taskLearn how to use lightweight software for annotating texts and adjudicating the annotationsThis book is a perfect companion to O’Reilly’s Natural Language Processing with Python.
Natural Language Dialog Systems and Intelligent Assistants
by Gary Geunbae Lee Hong Kook Kim Minwoo Jeong Ji-Hwan KimThis book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language processing that result in the development of successful applications and addresses general issues regarding the advances in Spoken Dialog Systems with applications in robotics, knowledge access and communication. Emphasis is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and healthcare applications.
Natural Language Generation
by Ehud ReiterIn late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich history and foundational work in NLG. This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications. Drawing on decades of NLG research, the book is designed to be a valuable resource for both researchers and developers, offering insights that remain relevant far beyond the current technological landscape. Natural Language Generation focuses on data-to-text but also looks at other types of NLG including text summarization. The book takes a holistic approach to NLG, looking at requirements (what users are looking for), design, data issues, testing, evaluation, safety and ethical issues as well as technology. The holistic approach is unique to this book and is very valuable for people building real-world NLG systems, and for academics and researchers who are interested in applied NLG. The author, who previously co-authored a seminal NLG book in 2000, emphasizes high-level concepts and methodologies, ensuring the material's longevity and utility. The book is structured to balance technical depth with practical relevance, including chapters on rule-based and neural NLG approaches, user requirements, rigorous evaluation techniques, and safety considerations. Real-world applications, particularly in journalism, business intelligence, summarization, and medicine, are explored to illustrate NLG's potential and scalability. With personal anecdotes and examples from the author's experiences, this book provides a unique and engaging perspective on the evolving field of NLG, making it an indispensable guide for those looking to harness the power of language generation technologies.
Natural Language Generation in Interactive Systems
by Amanda Stent Srinivas BangaloreAn informative and comprehensive overview of the state-of-the-art in natural language generation (NLG) for interactive systems, this guide serves to introduce graduate students and new researchers to the field of natural language processing and artificial intelligence, while inspiring them with ideas for future research. Detailing the techniques and challenges of NLG for interactive applications, it focuses on the research into systems that model collaborativity and uncertainty, are capable of being scaled incrementally, and can engage with the user effectively. A range of real-world case studies is also included. The book and the accompanying website feature a comprehensive bibliography, and refer the reader to corpora, data, software and other resources for pursuing research on natural language generation and interactive systems, including dialog systems, multimodal interfaces and assistive technologies. It is an ideal resource for students and researchers in computational linguistics, natural language processing and related fields.
Natural Language Interfaces to Databases (Synthesis Lectures on Data Management)
by Dragomir Radev Yunyao Li Davood RafieiThis book presents a comprehensive overview of Natural Language Interfaces to Databases (NLIDBs), an indispensable tool in the ever-expanding realm of data-driven exploration and decision making. After first demonstrating the importance of the field using an interactive ChatGPT session, the book explores the remarkable progress and general challenges faced with real-world deployment of NLIDBs. It goes on to provide readers with a holistic understanding of the intricate anatomy, essential components, and mechanisms underlying NLIDBs and how to build them. Key concepts in representing, querying, and processing structured data as well as approaches for optimizing user queries are established for the reader before their application in NLIDBs is explored. The book discusses text to data through early relevant work on semantic parsing and meaning representation before turning to cutting-edge advancements in how NLIDBs are empowered to comprehend and interpret human languages. Various evaluation methodologies, metrics, datasets and benchmarks that play a pivotal role in assessing the effectiveness of mapping natural language queries to formal queries in a database and the overall performance of a system are explored. The book then covers data to text, where formal representations of structured data are transformed into coherent and contextually relevant human-readable narratives. It closes with an exploration of the challenges and opportunities related to interactivity and its corresponding techniques for each dimension, such as instances of conversational NLIDBs and multi-modal NLIDBs where user input is beyond natural language. This book provides a balanced mixture of theoretical insights, practical knowledge, and real-world applications that will be an invaluable resource for researchers, practitioners, and students eager to explore the fundamental concepts of NLIDBs.
Natural Language Processing Fundamentals: Build intelligent applications that can interpret the human language to deliver impactful results
by Dwight Gunning Sy Hwang Dongjun JungNatural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers, who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python - using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but is not necessary.
Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages (Innovations in Big Data and Machine Learning)
by Biswaranjan Acharya Satya Ranjan Dash Shantipriya Parida Esaú Villatoro Tello Ondřej BojarNatural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of maintaining linguistic diversity. The book goes on to present current advances and scenarios based on solutions in healthcare and low resource languages and identifies the major challenges and opportunities that will impact NLP in clinical practice and health studies.
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
by Akshay Kulkarni Adarsha Shivananda Anoosh KulkarniLeverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries and algorithms to build end-to-end NLP projects. The book starts with an overview of natural language processing (NLP) and artificial intelligence to provide a quick refresher on algorithms. Next, it covers end-to-end NLP projects beginning with traditional algorithms and projects such as customer review sentiment and emotion detection, topic modeling, and document clustering. From there, it delves into e-commerce related projects such as product categorization using the description of the product, a search engine to retrieve the relevant content, and a content-based recommendation system to enhance user experience. Moving forward, it explains how to build systems to find similar sentences using contextual embedding, summarizing huge documents using recurrent neural networks (RNN), automatic word suggestion using long short-term memory networks (LSTM), and how to build a chatbot using transfer learning. It concludes with an exploration of next-generation AI and algorithms in the research space. By the end of this book, you will have the knowledge needed to solve various business problems using NLP techniques.What You Will LearnImplement full-fledged intelligent NLP applications with PythonTranslate real-world business problem on text data with NLP techniquesLeverage machine learning and deep learning techniques to perform smart language processingGain hands-on experience implementing end-to-end search engine information retrieval, text summarization, chatbots, text generation, document clustering and product classification, and more Who This Book Is ForData scientists, machine learning engineers, and deep learning professionals looking to build natural language applications using Python