Data og IT

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design of experiments, and related methods. For ease of reading, technical details are avoided as far as possible, and there is a particular emphasis on applicability, interpretation, reliability and limitations of the data-analytic methods in practice. To cover the common availability and types of data in engineering, training sets consisting of independent as well as time series data are considered. To cope with the scarceness of data in industrial problems, augmentation of training sets by additional artificial data, generated from physical models, as well as the combination of machine learning and expert knowledge of engineers are discussed.The methodological exposition is accompanied by several detailed case studies based on industrial projects covering a broad range of engineering applications from vehicle manufacturing, process engineering and design of materials to optimization of production processes based on image analysis.The focus is on fundamental ideas, applicability and the pitfalls of machine learning in industry and science, where data are often scarce. Requiring only very basic background in statistics, the book is ideal for self-study or short courses for engineering and science students.

¿ This open access book is authored by a rich mix of contributors from across the landscape of research, academia, LEAs, civil protection, and other first responders, practitioners, public and private organizations and industry to address some of the most contemporary challenges within global security domain. The authors cover topics such as protection of critical infrastructures (CI), serious and organized crime, counter (cyber) terrorism, border management, cybercrime, cybersecurity, management of disasters and crises, big data analytics, the application of AI and the legal and ethical dimensions of the implementation of cutting-edge technologies. The book benefits from research actions and lessons learned from more than 35 EU R&D projects within the security domain. The book not only addresses theoretical narratives pertinent to the subject but also identifies current challenges and emerging security threats, provides analysis of operational capability gaps, real world applied solutions, methodologies, and case studies within security domain.This is an open access book. Presents security practitioner driven technologies from practical, theoretical and legal/ethical point of view Offers R&D perspectives on strengthening security potential based on input from multidisciplinary stakeholders Addresses security topics from LEAs, Civil Protection authorities, first responders, cyber-security organizations, Critical Infrastructure operators and other stakeholders involved in societal resilience This book is open access, which means that you have free and unlimited access

This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied applications in machine learning, medicine, robotics, biology, computer vision, human biometrics, nanomanufacturing, signal processing, and image analysis, etc.The first chapter gives motivation examples, a wide range of applications, raised challenges, raised challenges, and some concerns. The second chapter gives a comprehensive exploration and step-by-step illustrations for Euclidean cases. Another dedicated chapter covers the geometric tools needed for each manifold and provides expressions and key notions for any application for manifold-valued data. All loss functions and optimization methods are given as algorithms and can be easily implemented. In particular, many popular manifolds are considered with derived and specific formulations. The same philosophy is used in all chapters and all novelties are illustrated with intuitive examples. Additionally, each chapter includes simulations and experiments on real-world problems for understanding and potential extensions for a wide range of applications.

This textbook introduces the fundamental concepts and techniques used in biometric recognition to students, practitioners, and non-experts in the field. Specifically, the book describes key methodologies used for sensing, feature extraction, and matching of commonly used biometric modalities such as fingerprint, face, iris, and voice. In addition, it presents techniques for fusion of biometric information to meet stringent accuracy requirements, also discussing various security issues and associated remedies involved in the deployment of biometric systems. Furthermore, this second edition captures the progress made in the field of biometric recognition, with highlights including: Lucid explanation of core biometric concepts (e.g., individuality and persistence), which builds a strong foundation for more in-depth study and research on biometrics A new chapter on deep neural networks that provides a primer to recent advancements in machine learning and computer vision Illustrative examples of how deep neural network models have contributed to the rapid evolution of biometrics in areas such as robust feature representation and synthetic biometric data generation A new chapter on speaker recognition, which introduces the readers to person recognition based on the human voice characteristics Presentation of emerging security threats such as deepfakes and adversarial attacks and sophisticated countermeasures such as presentation attack detection and template securityWhile this textbook has been designed for senior undergraduate students and first-year graduate students studying a course on biometrics, it is also a useful reference guide for biometric system designers, developers, and integrators.

This book explores gender debates on African social media platforms and the political, social, and cultural discourses surrounding them. It examines topics such as gender-based violence, gender in political and economic spaces, gender activism, challenges in the African LGBTQIA+ community, and gender harassment.

In this hands-on book, you'll learn in detail how to run Computational Fluid Dynamics (CFD) simulations using Ansys Fluent. Ansys Fluent is known for its power, simplicity and speed, which has helped make it a world leader in CFD software, both in academia and industry.

Mechanism Design and Analysis Using PTC Creo Mechanism 11.0 is designed to help you become familiar with Mechanism, a module of the PTC Creo Parametric software family, which supports modeling and analysis (or simulation) of mechanisms in a virtual (computer) environment.

The primary goal of AutoCAD 2025 Tutorial Second Level 3D Modeling is to introduce the aspects of computer based three dimensional modeling. This text is intended to be used as a training guide for both students and professionals.

The intent of this book is to provide the interior design student a well-rounded knowledge of Autodesk Revit tools and techniques. These skills can then be applied to enhance professional development in both academia and industry. Each book also includes access to video tutorials designed to further help you master Autodesk Revit.

This timely and innovative book presents a critical exploration of how blockchain technologies may be useful in enhancing the sustainability, viability and social responsibility of the tourism and hospitality sectors.

This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture-often termed the inflection point-in adopting generative Artificial Intelligence (AI).

An Integrated Approach to Modeling and Optimization in Engineering and Science is a technical book written with the aim to evaluate the modeling and design processes of engineering systems with an integrated approach.

The text explains the designing of metamaterials microstrip patch antennas for medical applications, photonic crystals of millimeter wave signals for 5G communications, dual-band miniaturized circular antennas for wireless networks, and ultra-thin compact flexible antennas for wearable applications.

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications.

Mohamad examines the day-to-day experience of virtual and non-tangible mobilities of young Bruneian Malay Muslim and Malaysians, as enabled by popular culture and digital media. Scholars in geography, sociology, and youth studies will find this book invaluable for its insights into cosmopolitanism and contemporary Southeast Asia.

This book develops an original theoretical framework for understanding human-technology relations. The author's approach, which he calls technoanalysis, analyzes artificial intelligence based on Freudian psychoanalysis, biosemiotics, and Latour's actor-network theory.

This book examines critical topics in Smart Cities such as true sustainability and the resilience required for all cities. It explores sustainability issues in agriculture and the role of agri-technology for a sustainable future, including a city's ability to locally produce food for its residents.

This book analyzes the Internet conceived in a broad sense. It includes three layers that require philosophical attention: (1) the technological infrastructure, (2) the Web, and (3) cloud computing, along with apps and mobile Internet.

Modern Assembly Language Programming with the ARM Processor, Second Edition is a tutorial-based book on assembly language programming using the ARM processor. It presents the concepts of assembly language programming in different ways, slowly building from simple examples towards complex programming on bare-metal embedded systems. The ARM processor was chosen as it has fewer instructions and irregular addressing rules to learn than most other architectures, allowing more time to spend on teaching assembly language programming concepts and good programming practice. Careful consideration is given to topics that students struggle to grasp, such as registers vs. memory and the relationship between pointers and addresses, recursion, and non-integral binary mathematics. A whole chapter is dedicated to structured programming principles. Concepts are illustrated and reinforced with many tested and debugged assembly and C source listings. The book also covers advanced topics such as fixed- and floating-point mathematics, optimization, and the ARM VFP and NEONTM extensions.

Learn how to easily design and implement a software system using object-oriented programming. Through hands-on activities, this book equips you with the real-world practice needed to master OOP skills that can be applied universally across any programming language.This book is dedicated to bridging the gap between theoretical concepts and practical implementation in software development using OOP. Readers will first understand the importance of OOP in handling software complexities before learning how to model real-world problems through access control, extendible object design, and object relationships. Specifically, the author discusses how to use inheritance, association, and polymorphism concepts for implementing reusable and easy-to-use complex software. More importantly, this book covers design patterns and event-driven programming for learning how to model complex interactions among various objects of the software system to implement various use cases.Unlike existing books on OOP which teach syntax and semantics through standard examples, this book leverages an immersive learning experience through a variety of real-world use cases, applications, games, and system software. While written in C++, the skills can be applied to any OOP language of the reader's preference. The book's last chapters will quickly introduce Python and Solidity languages for learning advanced technologies. By the end, novice and seasoned developers will know how to implement practical and reusable software systems with confidence.What You Will Learn Apply OOP concepts through real-time use cases: games, applications software (online shopping, reservations, etc.), system software (protocols, simulators, etc.), and modeling and implementation using C+ Design and implement reusable and extendible software with OOP Understand the importance of design patterns and learn how to use them for solving real-time issues Use event-driven programming for implementing complete interactions of complex application software, system software, and simulators Implement OOP using C++ features and discover Python and Solidity constructs for OOP

Discover the exciting new APIs introduced by Java's Project Loom. This quick guide covers all the essential concepts the Java developer needs in order to understand virtual threads, structured concurrency, and scoped values.Authors Ron Veen and David Vlijmincx clearly explain the superiority of virtual threads, introduced in Java 21, over the traditional Java threads of the past 25 years. Then they dive into how structured concurrency streamlines interactions by treating related threads as a unified unit of work, akin to the impact of structured programming on regular programming. From there, the authors explore the third Project Loom API and scoped values, clarifying their advantages over regular ThreadLocals and providing efficient usage insights. The book concludes with an exploration of common scheduling strategies.By the end of this book, you will have a solid understanding of the concepts behind Project Loom and will be able to immediately apply this knowledge to your own code .What You Will Learn Discover what virtual threads are, why they were created, and how to use them in your code Gain insight into how concurrency improves the observability of code Write your own StructuredTaskScopes tailored to your needs Understand why you should replace ThreadLocals with Scoped Values Know the different strategies for multithreaded computer programs

Unlock the full potential of Microsoft Lists, an indispensable tool within the Microsoft 365 suite for tracking and organizing information. This book is your comprehensive guide, from the fundamentals to the advanced capabilities of Microsoft Lists, and will help you improve productivity and foster collaboration. Whether yoüre making a basic to-do list or managing a complex inventory system, Lists is built for a broad spectrum of users, from beginners to professionals, catering to diverse enterprise and consumer use cases.The book provides thorough coverage of a wide array of topics, from the history of the product and initial setup to the entire set of features it offers. Insights are presented on using templates, optimizing columns, managing your lists, mastering the views, JSON features, and the various sharing and collaboration tools to utilize the product for maximum productivity. The book includes the latest features, such as commenting, Lists forms, real-time presence, and an in-depth look at the mobile experience.This guidebook is designed to transform your approach to information tracking and management. It offers practical examples, scenarios, and step-by-step instructions, complemented by rich visuals. The book is ideal for enterprises seeking to boost team productivity and also for individuals who wish to manage information with friends and family. What You Will Learn Optimize information management and manage lists like a pro, with list templates, custom columns, views, and JSON customization Boost collaboration through sharing and commenting, and by employing Microsoft's security and privacy features Maintain productivity on the go by navigating and managing lists on mobile devices, keeping your information accessible anywhere Enhance productivity by connecting Microsoft Lists with other products in the Microsoft 365 ecosystem Who This Book Is ForBusiness professionals. IT administrators, and individuals keen on leveraging Microsoft Lists within the Microsoft 365 ecosystem

Use Python to develop Rasperry Pi projects to solve common digital image processing and IoT problems. Using a free IoT server yoüll tackle fundamental topics and concepts behind theses two areas. This second edition includes new content on Artificial Intelligence and updated sensor guidance to help you better explore virtual animations, create a homemade spectrometer, and master object classification with Edge Impulse.Start by creating a system to detect movement with a PIR motion sensor and a Raspberry Pi board. Use the MQ2 gas sensor and a Raspberry Pi board as a gas leak alarm system to detect dangerous explosive and fire hazards. Then train your system to send the captured data to the remote server ThingSpeak. Yoüll also develop a weather station with your Raspberry Pi. Using the DHT11 (humidity and temperature sensor) and BMP (barometric pressure and temperature sensor) in conjunction with ThingSpeak and X, you can receive real time weather alerts from your own meterological system!Spectral sensers used with the Raspberry Pi include the AS7262 (six colors), and AS7263 (near infrared) for the construction of a filter spectrometer, sensing colored solutions, and assessing plant foliage health. Finally, expand your skills into the popular machine learning world of digital image processing using OpenCV and a Pi. Make your own object classifiers and finally manipulate an object by means of an image in movement. This skillset has many applications, ranging from recognizing people or objects, to creating your own video surveillance system.With the skills gained from Sensor Projects with Raspberry Pi, you'll be well-equipped to explore other applications in mobile development and electrical engineering as well. What You'll Learn Work with ThingSpeak to receive X alerts from your systems. Cultivate skills in processing sensor inputs that are applicable to mobile and machine learning projects. Incorporate sensors into projects to make interactive devices. Experiment with virtual scenarios and objects. Create Python and Pygame games that contain virtual scenarios and animations. Detect colored solutions and assess the plant foliage health.Who This Book Is ForHobbyists and makers working with robotics and IoT. Electronic engineers and programmers who would like to expand their familiarity with basic sensor projects.

The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16-18, 2024. The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA) Volume II: Knowledge Engineering Research and Applications (KERA) Volume III: Knowledge Management with Optimization and Security (KMOS) Volume IV: Emerging Technology Volume V: Special Tracks