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Introduction to the Cyber Ranges (Chapman & Hall/CRC Cyber-Physical Systems)
by Bishwajeet Pandey Shabeer AhmadIntroduction to the Cyber Ranges provides a comprehensive, integrative, easy-to-comprehend overview of different aspects involved in the cybersecurity arena. It expands on various concepts like cyber situational awareness, simulation and emulation environments, and cybersecurity exercises. It also focuses on detailed analysis and the comparison of various existing cyber ranges in military, academic, and commercial sectors. It highlights every crucial aspect necessary for developing a deeper insight about the working of the cyber ranges, their architectural design, and their need in the market. It conveys how cyber ranges are complex and effective tools in dealing with advanced cyber threats and attacks. Enhancing the network defenses, resilience, and efficiency of different components of critical infrastructures is the principal objective of cyber ranges. Cyber ranges provide simulations of possible cyberattacks and training on how to thwart such attacks. They are widely used in urban enterprise sectors because they present a sturdy and secure setting for hands-on cyber skills training, advanced cybersecurity education, security testing/training, and certification. Features: A comprehensive guide to understanding the complexities involved with cyber ranges and other cybersecurity aspects Substantial theoretical knowhow on cyber ranges, their architectural design, along with case studies of existing cyber ranges in leading urban sectors like military, academic, and commercial Elucidates the defensive technologies used by various cyber ranges in enhancing the security setups of private and government organizations Information organized in an accessible format for students (in engineering, computer science, and information management), professionals, researchers, and scientists working in the fields of IT, cybersecurity, distributed systems, and computer networks
Introduction to the Development of Web Applications Using ASP .Net (Synthesis Lectures on Computer Science)
by Razvan Alexandru MezeiThis book introduces a simplified approach to web application development using the open-source ASP .Net Core MVC framework. Readers will learn to implement web applications using the following languages and frameworks: HTML, JavaScript, CSS, Bootstrap, C#, ASP .Net, and Entity Framework Core. In addition, this book addresses how to build a web application to create user accounts, store data in a database, manipulate data, and how to allow controlled access to certain parts of the application functionality. The author also covers both client-side and server-side development and the use of an object relational mapper to work with persistent data (using a database). Topics include: models, views, controllers, routing, entity framework core, identity, layouts, dependency injection and services, model binder, among others. This book: Introduces the development of web applications using the open-source ASP .Net Core MVC frameworkImplements web applications including HTML, JavaScript, CSS, Bootstrap, C#, ASP .Net, and Entity Framework CoreFeatures client-side development, server-side development, and object relational mapper software
Introduction to the History of Computing
by Gerard O'ReganTracing the story of computing from Babyloniancounting boards to smartphones, this inspiring textbook provides a conciseoverview of the key events in the history of computing, together withdiscussion exercises to stimulate deeper investigation into this fascinatingarea. Features: provides chapter introductions, summaries, key topics, and reviewquestions; includes an introduction to analogue and digital computers, and to thefoundations of computing; examines the contributions of ancient civilisationsto the field of computing; covers the first digital computers, and the earliestcommercial computers, mainframes and minicomputers; describes the earlydevelopment of the integrated circuit and the microprocessor; reviews theemergence of home computers; discusses the creation of the Internet, theinvention of the smartphone, and the rise of social media; presents a shorthistory of telecommunications, programming languages, operating systems,software engineering, artificial intelligence, and databases.
Introduction to the Semantic Web and Semantic Web Services
by null Liyang YuEven though the semantic Web is a relatively new and dynamic area of research, a whole suite of components, standards, and tools have already been developed around it. Using a concrete approach, Introduction to the Semantic Web and Semantic Web Services builds a firm foundation in the concept of the semantic Web, its principal technologies, its rea
Introduction to the Senses
by Terry R.J. BossomaierAn understanding of the senses - vision, hearing, touch, chemical and other non-human senses - is important not only for many fields of biology but also in applied areas such as human computer interaction, robotics and computer games. Using information theory as a unifying framework, this is a wide-ranging survey of sensory systems, covering all known senses. The book draws on three unifying principles to examine senses: the Nyquist sampling theorem; Shannon's information theory; and the creation of different streams of information to subserve different tasks. This framework is used to discuss the fascinating role of sensory adaptation in the context of environment and lifestyle. Providing a fundamental grounding in sensory perception, the book then demonstrates how this knowledge can be applied to the design of human-computer interfaces and virtual environments. It is an ideal resource for both graduate and undergraduate students of biology, engineering (robotics) and computer science.
Introduction to the Simulation of Dynamics Using Simulink (Chapman & Hall/CRC Computational Science)
by null Michael A. GrayDesigned for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink (R) shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no prior programming experience, it clearly explains how to transition from physical models described by mathematical equations directly to executable Simulink simulations.Teaches students how to model and explore the dynamics of systemsStep by step, the author presents the basics of building a simulation in Simulink. He begins with finite difference equations and simple discrete models, such as annual population models, to introduce the concept of state. The text then covers ordinary differential equations, numerical integration algorithms, and time-step simulation. The final chapter offers overviews of some advanced topics, including the simulation of chaotic dynamics and partial differential equations.A one-semester undergraduate course on simulationWritten in an informal, accessible style, this guide includes many diagrams and graphics as well as exercises embedded within the text. It also draws on numerous examples from the science, engineering, and technology fields. The book deepens students' understanding of simulated systems and prepares them for advanced and specialized studies in simulation.
Introduction to the Smart Court System-of-Systems Engineering Project of China
by Jianfeng Xu Fuhui Sun Qiwei ChenThis book discusses the overall development and use of smart courts from the perspective of system-of-systems engineering (SoSE) and its methodology, analyzes the relationships between the components, structures, environments, and functions of various systems, and illustrates the basic approaches to system design, specification, integration, operation and management. As the general introductory book of the China Smart Court Development Series, this book provides an overview of the development of Chinese people's courts in the application of information technology over the past two decades and outlines the key areas of exploration in the Smart Court SoSe project centered on the development practices during the 13th Five-Year Plan period. It also forecasts the future development and evolution of the smart court information system. The key topics introduced in the book, including the overall design of complex information systems, integrated interconnection networks-based system integration, judicial big data quality control and analytics services, various types of AI-enabled judicial services, quality and efficiency-oriented operation and maintenance services for large-scale information systems, etc., all came from the basic research of information science and theories, as well as the systems engineering practices of the Smart Court SoSe project. They not only reflect the latest findings on systems engineering and architecture methods in China and overseas, but also reveal many innovative approaches to SoSE methods and paradigms, which can be used for the design and continued development of smart courts at a new and higher starting point. It is believed that they can also serve as good examples and reference points for the development in IT application and complex information systems engineering in other sectors.
Introduction to the Theory of Computation (Third Edition)
by Michael SipserReaders embark on the study of a fascinating and important subject: the theory of computation. It comprises the fundamental mathematical properties of computer hardware, software, and certain applications thereof. This book is intended as an upper-level undergraduate or introductory graduate text in computer science theory. It contains a mathematical treatment of the subject, designed around theorems and proofs.
Introduction to the Theory of Programming Languages
by Jean-Jacques Lévy Gilles DowekThe design and implementation of programming languages, from Fortran and Cobol to Caml and Java, has been one of the key developments in the management of ever more complex computerized systems. Introduction to the Theory of Programming Languages gives the reader the means to discover the tools to think, design, and implement these languages. It proposes a unified vision of the different formalisms that permit definition of a programming language: small steps operational semantics, big steps operational semantics, and denotational semantics, emphasising that all seek to define a relation between three objects: a program, an input value, and an output value. These formalisms are illustrated by presenting the semantics of some typical features of programming languages: functions, recursivity, assignments, records, objects, ... showing that the study of programming languages does not consist of studying languages one after another, but is organized around the features that are present in these various languages. The study of these features leads to the development of evaluators, interpreters and compilers, and also type inference algorithms, for small languages.
Introduction to the Theory of Quantum Information Processing
by Mark Hillery János A. BergouIntroduction to the Theory of Quantum Information Processing provides the material for a one-semester graduate level course on quantum information theory and quantum computing for students who have had a one-year graduate course in quantum mechanics. Many standard subjects are treated, such as density matrices, entanglement, quantum maps, quantum cryptography, and quantum codes. Also included are discussions of quantum machines and quantum walks. In addition, the book provides detailed treatments of several underlying fundamental principles of quantum theory, such as quantum measurements, the no-cloning and no-signaling theorems, and their consequences. Problems of various levels of difficulty supplement the text, with the most challenging problems bringing the reader to the forefront of active research. This book provides a compact introduction to the fascinating and rapidly evolving interdisciplinary field of quantum information theory, and it prepares the reader for doing active research in this area.
Introduction to the Theory of Radiopolarimetric Navigation Systems (Springer Aerospace Technology)
by Kozlov A.I. Logvin A.I. Sarychev V.A. Shatrakov Y.G. Zavalishin O.I.The book highlights three types of technologies being developed for autonomous solution of navigation problems. These technologies are based on the polarization structure, ultra-broadband and the fluctuation characteristics (slow and fast) of the radiolocation signals. The book presents the problems of intrinsic thermal radio emission polarization and change in radio waves polarization when they are reflected from objects with non-linear properties.The purpose of this book is to develop the foundations for creating autonomous radionavigation systems to provide aviation with navigation systems that will substantially increase its capabilities, specifically acting where satellite technologies do not work. The book is intended for specialists involved in the development and operation of aviation-technical complexes, as well as for specialists of national aviation regulators and ICAO experts dealing with the problems of improving flight safety.
Introduction to Theory of Control in Organizations (Systems Evaluation, Prediction, and Decision-Making)
by null Vladimir N. Burkov null Mikhail Goubko null Nikolay Korgin null Dmitry NovikovIntroduction to Theory of Control in Organizations explains how methodologies from systems analysis and control theory, including game and graph theory, can be applied to improve organizational management. The theory presented extends the traditional approach to management science by introducing the optimization and game-theoretical tools required
Introduction to Time Series Modeling with Applications in R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
by Genshiro KitagawaPraise for the first edition: [This book] reflects the extensive experience and significant contributions of the author to non-linear and non-Gaussian modeling. … [It] is a valuable book, especially with its broad and accessible introduction of models in the state-space framework. –Statistics in Medicine What distinguishes this book from comparable introductory texts is the use of state-space modeling. Along with this come a number of valuable tools for recursive filtering and smoothing, including the Kalman filter, as well as non-Gaussian and sequential Monte Carlo filters. –MAA Reviews Introduction to Time Series Modeling with Applications in R, Second Edition covers numerous stationary and nonstationary time series models and tools for estimating and utilizing them. The goal of this book is to enable readers to build their own models to understand, predict and master time series. The second edition makes it possible for readers to reproduce examples in this book by using the freely available R package TSSS to perform computations for their own real-world time series problems. This book employs the state-space model as a generic tool for time series modeling and presents the Kalman filter, the non-Gaussian filter and the particle filter as convenient tools for recursive estimation for state-space models. Further, it also takes a unified approach based on the entropy maximization principle and employs various methods of parameter estimation and model selection, including the least squares method, the maximum likelihood method, recursive estimation for state-space models and model selection by AIC. Along with the standard stationary time series models, such as the AR and ARMA models, the book also introduces nonstationary time series models such as the locally stationary AR model, the trend model, the seasonal adjustment model, the time-varying coefficient AR model and nonlinear non-Gaussian state-space models. About the Author: Genshiro Kitagawa is a project professor at the University of Tokyo, the former Director-General of the Institute of Statistical Mathematics, and the former President of the Research Organization of Information and Systems.
Introduction to Topological Quantum Computation
by Jiannis K. PachosCombining physics, mathematics and computer science, topological quantum computation is a rapidly expanding research area focused on the exploration of quantum evolutions that are immune to errors. In this book, the author presents a variety of different topics developed together for the first time, forming an excellent introduction to topological quantum computation. The makings of anyonic systems, their properties and their computational power are presented in a pedagogical way. Relevant calculations are fully explained, and numerous worked examples and exercises support and aid understanding. Special emphasis is given to the motivation and physical intuition behind every mathematical concept. Demystifying difficult topics by using accessible language, this book has broad appeal and is ideal for graduate students and researchers from various disciplines who want to get into this new and exciting research field.
Introduction to Topological Quantum Matter & Quantum Computation
by Tudor D. StanescuWhat is "topological" about topological quantum states? How many types of topological quantum phases are there? What is a zero-energy Majorana mode, how can it be realized in a solid-state system, and how can it be used as a platform for topological quantum computation? What is quantum computation and what makes it different from classical computation?Addressing these and other related questions, Introduction to Topological Quantum Matter & Quantum Computation provides an introduction to and a synthesis of a fascinating and rapidly expanding research field emerging at the crossroads of condensed matter physics, mathematics, and computer science. Providing the big picture and emphasizing two major new paradigms in condensed matter physics – quantum topology and quantum information – this book is ideal for graduate students and researchers entering this field, as it allows for the fruitful transfer of ideas amongst different areas, and includes many specific examples to help the reader understand abstract and sometimes challenging concepts. It explores the topological quantum world beyond the well-known topological insulators and superconductors and unveils the deep connections with quantum computation. It addresses key principles behind the classification of topological quantum phases and relevant mathematical concepts and discusses models of interacting and noninteracting topological systems, such as the toric code and the p-wave superconductor. The book also covers the basic properties of anyons, and aspects concerning the realization of topological states in solid state structures and cold atom systems.Topological quantum computation is also presented using a broad perspective, which includes elements of classical and quantum information theory, basic concepts in the theory of computation, such as computational models and computational complexity, examples of quantum algorithms, and key ideas underlying quantum computation with anyons. This new edition has been updated throughout, with exciting new discussions on crystalline topological phases, including higher-order topological insulators; gapless topological phases, including Weyl semimetals; periodically-driven topological insulators; and a discussion of axion electrodynamics in topological materials.Key Features:· Provides an accessible introduction to this exciting, cross-disciplinary area of research.· Fully updated throughout with new content on the latest result from the field.· Authored by an authority on the subject.Tudor Stanescu is a professor of Condensed Matter Theory at West Virginia University, USA. He received a B.S. in Physics from the University of Bucharest, Romania, in 1994 and a Ph.D. in Theoretical Physics from the University of Illinois at Urbana Champaign in 2002. He was a Postdoctoral Fellow at Rutgers University and at the University of Maryland from 2003 to 2009. He joined the Department of Physics and Astronomy at West Virginia University in Fall 2009. Prof. Stanescu’s research interests encompass a variety of topics in theoretical condensed matter physics including topological insulators and superconductors, topological quantum computation, ultra-cold atom systems in optical lattices, and strongly correlated materials, such as, for example, cuprate high-temperature superconductors. His research uses a combination of analytical and numerical tools and focuses on understanding the emergence of exotic states of matter in solid state and cold atom structures, for example, topological superconducting phases that host Majorana zero modes, and on investigating the possibilities of exploiting these states as physical platforms for quantum computation.
Introduction to Tornado: Modern Web Applications with Python
by Michael Dory Allison Parrish Brendan BergWalk through the basics of Tornado, the high-performance web server known for its speed, simplicity, and scalability on projects large and small. With this hands-on guide, you’ll learn how to use Tornado’s acclaimed features by working with several example applications. You also get best practices for using Tornado in the real world.Are you interested in creating a scalable social application, real-time analytics engine, or RESTful API—all with the power and simplicity of Python? This book shows you why Tornado is fantastic choice for writing powerful applications that are simple to create, extend, and deploy.Learn how to use Tornado’s lightweight and flexible templating languageExtend templates to repurpose headers, footers, layout grids, and other contentUse persistent storage like MongoDB to store, serve, and edit dynamic contentExplore Tornado’s ability to make asynchronous web requestsSecure your application against cookie and request vulnerabilitiesAuthenticate with external services, using Tornado’s auth moduleAdopt deployment strategies that help harden your application and increase request throughput
Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
by Jindong Wang Yiqiang ChenTransfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning. This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. Most importantly, it takes a “student’s” perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area. Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several important algorithms, presenting good examples for practice.
Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems
by Shashank Mohan JainGet a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation. After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.What You Will LearnUnderstand language models and their importance in NLP and NLU (Natural Language Understanding)Master Transformer architecture through practical examplesUse the Hugging Face library in Transformer-based language modelsCreate a simple code generator in Python based on Transformer architectureWho This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)
Introduction to Ultra-Wideband Radar Systems
by James D. TaylorThis introductory reference covers the technology and concepts of ultra-wideband (UWB) radar systems. It provides up-to-date information for those who design, evaluate, analyze, or use UWB technology for any application. Since UWB technology is a developing field, the authors have stressed theory and hardware and have presented basic principles and concepts to help guide the design of UWB systems. Introduction to Ultra-Wideband Radar Systems is a comprehensive guide to the general features of UWB technology as well as a source for more detailed information.
An Introduction to Universal Artificial Intelligence (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Marcus Hutter David Quarel Elliot CattAn Introduction to Universal Artificial Intelligence provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment. First presented in Universal Algorithmic Intelligence (Hutter, 2000), UAI offers a framework in which virtually all AI problems can be formulated, and a theory of how to solve them. UAI unifies ideas from sequential decision theory, Bayesian inference, and algorithmic information theory to construct AIXI, an optimal reinforcement learning agent that learns to act optimally in unknown environments. AIXI is the theoretical gold standard for intelligent behavior.The book covers both the theoretical and practical aspects of UAI. Bayesian updating can be done efficiently with context tree weighting, and planning can be approximated by sampling with Monte Carlo tree search. It provides algorithms for the reader to implement, and experimental results to compare against. These algorithms are used to approximate AIXI. The book ends with a philosophical discussion of Artificial General Intelligence: Can super-intelligent agents even be constructed? Is it inevitable that they will be constructed, and what are the potential consequences?This text is suitable for late undergraduate students. It provides an extensive chapter to fill in the required mathematics, probability, information, and computability theory background.
An Introduction to Unreal Engine 4
by Andrew SandersThis book serves as an introduction to the level design process in Unreal Engine 4. By working with a number of different components within the Unreal Editor, readers will learn to create levels using BSPs, create custom materials, create custom Blueprints complete with events, import objects, create particle effects, create sound effects and combine them to create a complete playable game level. The book is designed to work step by step at the beginning of each chapter, then allow the reader to complete similar tasks on their own to show an understanding of the content. A companion website with project files and additional information is included.
An Introduction to Variational Calculus: Applications in Image Processing
by Hebert MontegranarioThis textbook introduces variational calculus and regularization methods for inverse problems, seamlessly blending classical concepts with contemporary computational applications, particularly in the field of image processing. The classical perspective draws upon foundational topics explored by pioneers such as Euler and Lagrange, establishing a solid theoretical groundwork. In recent decades, the advent of disciplines such as computer vision has expanded the horizons of variational calculus, showcasing its effectiveness in addressing complex problems that necessitate computational solutions. Consequently, this book places a strong emphasis on the synergy between mathematical theory, practical applications, and algorithmic development. To ensure the text is comprehensive and accessible, essential principles of functional analysis and Fourier analysis are incorporated, facilitating a deeper and more nuanced understanding of the applications presented. Covering both classic and more recent aspects of variational calculus, this book suggests that many topics of modern technology such as computer vision, robotics and especially digital image processing can be formulated in terms of variational problems.
Introduction To VBA For Excel
by Steven ChapraThis introductory text explains how to develop programs using VBA within the Microsoft Excel environment. The text does not assume any previous programming experience. The new edition has been revised to bring it up-to-date with the Office 2007 environment.
Introduction to Video and Image Processing
by Thomas B. MoeslundThis textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
Introduction to Video Game Engine Development: Learn to Design, Implement, and Use a Cross-Platform 2D Game Engine
by Victor G BruscaStart your video game development journey by learning how to build a 2D game engine from scratch. Using Java (with NetBeans as your IDE and using Java’s graphics framework) or by following along in C# (with Visual Studio as your IDE and using the MonoGame framework), you’ll cover the design and implementation of a 2D game engine in detail. Each class will be reviewed with demonstration code. You’ll gain experience using the engine by building a game from the ground up. Introduction to Video Game Engine Development reviews the design and implementation of a 2D game engine in three parts. Part 1 covers the low-level API class by class. You’ll see how to abstract lower-level functionality and design a set of classes that interact seamlessly with each other. You’ll learn how to draw objects, play sounds, render text, and more. In Part 2, you’ll review the mid-level API that is responsible for drawing the game, loading resources, and managing user input. Lastly, in Part 3, you’ll build a game from the ground up following a step-by-step process using the 2D game engine you just reviewed. On completing this book, you’ll have a solid foundation in video game engine design and implementation. You’ll also get exposure to building games from scratch, creating the solid foundation you’ll need to work with more advanced game engines, and industry tools, that require learning complex software, APIs, and IDEs. What You Will Learn Gain experience with lower-level game engine APIs and abstracting framework functionalityWrite application-level APIs: launching the game, loading resources, settings, processing input, and more Discover cross-platform APIs in the game engine projects written in both Java and C#/MonoGame Develop games with an SDK-based game engine and simplified tool chain focused on direct control of the game through codeMaster creating games by using the game engine to build a game from the ground up with only code and an IDE Who This Book Is For Those of you out there with some programming experience, moderate to advanced, who want to learn how to write video games using modern game engine designs.