Intelligent Systems
The two-volume set LNAI 13073 and 13074 constitutes the proceedings of the 10th Brazilian Conference on Intelligent Systems, BRACIS 2021, held in S瓊o Paolo, Brazil, in November-December 2021. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 192 submissions.The contributions are organized in the following topical sections: Part I: Agent and Multi-Agent Systems, Planning and Reinforcement Learning; Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization, Knowledge Representation, Logic and Fuzzy Systems; Machine Learning and Data Mining. Part II: Multidisciplinary Artificial and Computational Intelligence and Applications; Neural Networks, Deep Learning and Computer Vision; Text Mining and Natural Language Processing. Due to the COVID-2019 pandemic, BRACIS 2021 was held as a virtual event.
Advances in Visual Computing
This two-volume set of LNCS 13017 and 13018 constitutes the refereed proceedings of the 16th International Symposium on Visual Computing, ISVC 2021, which was held in October 2021. The symposium took place virtually instead due to the COVID-19 pandemic. The 48 papers presented in these volumes were carefully reviewed and selected from 135 submissions. The papers are organized into the following topical sections: Part I: deep learning; computer graphics; segmentation; visualization; applications; 3D vision; virtual reality; motion and tracking; object detection and recognition. Part II: ST: medical image analysis; pattern recognition; video analysis and event recognition; posters.
AI Approaches to the Complexity of Legal Systems XI-XII
This book includes revised selected papers from the International Workshops on AI Approaches to the Complexity of Legal Systems, AICOL-XI@JURIX2018, held in Groningen, The Netherlands, on December 12, 2018; AICOL-XII@JURIX 2020, held in Brno, Czechia, on December 9, 2020; XAILA@JURIX 2020, held in in Brno, Czechia, on December 9, 2020.*The 17 full and 4 short papers included in this volume were carefully reviewed and selected form 39 submissions. They represent a comprehensive picture of the state of the art in legal informatics. The papers are logically organized in 5 blocks: ​Knowledge Representation; Logic, rules, and reasoning; Explainable AI in Law and Ethics; Law as Web of linked Data and the Rule of Law; Data protection and Privacy Modelling and Reasoning.*Due to the Covid-19 pandemic AICOL-XII@JURIX 2020 and XAILA@JURIX 2020 were held virtually.
Microsoft Azure Fundamentals Certification and Beyond
Gain in-depth knowledge of Azure fundamentals that will make it easy for you to achieve AZ-900 certificationKey FeaturesGet fundamental knowledge of cloud concepts and the Microsoft Azure platformExplore practical exercises to gain experience of working with the Microsoft Azure platform in the real worldPrepare to achieve AZ-900 certification on the first go with the help of simplified examples covered in the bookBook DescriptionThis is the digital and cloud era, and Microsoft Azure is one of the top cloud computing platforms. It's now more important than ever to understand how the cloud functions and the different services that can be leveraged across the cloud.This book will give you a solid understanding of cloud concepts and Microsoft Azure, starting by taking you through cloud concepts in depth, then focusing on the core Azure architectural components, solutions, and management tools. Next, you will understand security concepts, defense-in-depth, and key security services such as Network Security Groups and Azure Firewall, as well as security operations tooling such as Azure Security Center and Azure Sentinel. As you progress, you will understand how identity, governance, privacy, and compliance are managed in Azure. Finally, you will get to grips with cost management, service-level agreements, and service life cycles. Throughout, the book features a number of hands-on exercises to support the concepts, services, and solutions discussed. This provides you with a glimpse of real-world scenarios, before finally concluding with practice questions for AZ-900 exam preparation.By the end of this Azure book, you will have a thorough understanding of cloud concepts and Azure fundamentals, enabling you to pass the AZ-900 certification exam easily.What you will learnExplore cloud computing with Azure cloudGain an understanding of the core Azure architectural componentsAcquire knowledge of core services and management tools on AzureGet up and running with security concepts, security operations, and protection from threatsFocus on identity, governance, privacy, and compliance featuresUnderstand Azure cost management, SLAs, and service life cyclesWho this book is forThis Azure fundamentals book is both for those with technical backgrounds and non-technical backgrounds who want to learn and explore the field of cloud computing, especially with Azure. This book will also help anyone who wants to develop a good foundation for achieving advanced Azure certifications. There is no prerequisite for this book except a willingness to learn and explore cloud concepts and Microsoft Azure.Table of ContentsIntroduction to Cloud ComputingBenefits of Cloud ComputingCore Azure Architectural ComponentsCore Azure ResourcesCore Azure SolutionsAzure Management ToolsAzure SecurityAzure Identity ServicesAzure GovernanceAzure Privacy and ComplianceAzure Cost Planning and ManagementAzure Service-Level AgreementsExam Preparation Practice Tests
Design Framework for Interactive Highlighting Techniques
Highlighting techniques are a diverse class of visual communication techniques that make users aware of salient information in a timely manner. Any visual effect can potentially be used and manipulated to create highlighting effects given the right context, which makes the design space for highlighting techniques broad and rich. Although highlighting techniques are a common and important part of user interfaces, there is a lack of understanding about how to select, apply, andcontrol their effects to achieve the best results. This monograph lays the foundations for addressing this knowledge gap and proposes a new framework. The authors review the current understanding of highlighting techniques, their effects, and prior methods of measuring those effects. They also review underlying human factors that affect how users interact with highlighting techniques. To address the knowledge gap, they present a new structured design framework - Parametric Control and Construction of Highlights (PCCH) - for describing highlighting techniques in a concise and objective way, using parameters to accurately specify highlighting technique configurations.
Swarm Intelligence and Deep Evolution
The book provides theoretical and practical knowledge about swarm intelligence and evolutionary computation. It describes the emerging trends in deep learning that involve the integration of swarm intelligence and evolutionary computation with deep learning, i.e., deep neuroevolution and deep swarms. The study reviews the research on network structures and hyperparameters in deep learning, and attracting attention as a new trend in AI. A part of the coverage of the book is based on the results of practical examples as well as various real-world applications. The future of AI, based on the ideas of swarm intelligence and evolution is also covered.The book is an introductory work for researchers. Approaches to the realization of AI and the emergence of intelligence are explained, with emphasis on evolution and learning. It is designed for beginners who do not have any knowledge of algorithms or biology, and explains the basics of neural networks and deep learning in an easy-to-understand manner. As a practical exercise in neuroevolution, the book shows how to learn to drive a racing car and a helicopter using MindRender. MindRender is an AI educational software that allows the readers to create and play with VR programs, and provides a variety of examples so that the readers will be able to create and understand AI.
Auditing Algorithms
Algorithms are ubiquitous and critical sources of information online and increasingly act as gatekeepers for users accessing or sharing information about virtually any topic. This includes information about their personal lives and those of friends and family, news and politics, entertainment, and even health and well-being. As a result, algorithmically-curated content is drawing increased attention and scrutiny from users, the media, and lawmakers alike. Studying such content poses considerable challenges as it is both dynamic and ephemeral. One strategy that has proven effective is the algorithm audit: a method of repeatedly querying an algorithm and observing its output in order to draw conclusions about the algorithm's opaque inner workings and possible external impact. In this work, the authors present an overview of the algorithm audit methodology. They include the history of audit studies in the social sciences from which this method is derived; a summary of key algorithm audits over the last two decades in a variety of domains such as health, politics, and discrimination; and a set of best practices for conducting algorithm audits today. The authors conclude by discussing the social, ethical, and political dimensions of auditing algorithms, and propose normative standards for the use of this method.
Semantic Models in Iot and Ehealth Applications
Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction.
Perspectives on Digital Humanism
This open access book aims to set an agenda for research and action in the field of Digital Humanism through short essays written by selected thinkers from a variety of disciplines, including computer science, philosophy, education, law, economics, history, anthropology, political science, and sociology. This initiative emerged from the Vienna Manifesto on Digital Humanism and the associated lecture series. Digital Humanism deals with the complex relationships between people and machines in digital times. It acknowledges the potential of information technology. At the same time, it points to societal threats such as privacy violations and ethical concerns around artificial intelligence, automation and loss of jobs, ongoing monopolization on the Web, and sovereignty. Digital Humanism aims to address these topics with a sense of urgency but with a constructive mindset. The book argues for a Digital Humanism that analyses and, most importantly, influences thecomplex interplay of technology and humankind toward a better society and life while fully respecting universal human rights. It is a call to shaping technologies in accordance with human values and needs.
Modern Deep Learning Design and Application Development
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. You'll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you'll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You'll learn notonly to understand and apply methods successfully but to think critically about it. Modern Deep Learning Design and Methods is ideal for readers looking to utilize modern, flexible, and creative deep-learning design and methods. Get ready to design and implement innovative deep-learning solutions to today's difficult problems. What You'll Learn Improve the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization.Compress deep learning models while maintaining performance. Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches. Who This Book Is For Data scientists with some familiarity with deep learning to deep learning engineers seeking structured inspiration and direction on their next project. Developers interested in harnessing modern deep learning methods to solve a variety of difficult problems.
Perspectives on Digital Humanism
This open access book aims to set an agenda for research and action in the field of Digital Humanism through short essays written by selected thinkers from a variety of disciplines, including computer science, philosophy, education, law, economics, history, anthropology, political science, and sociology. This initiative emerged from the Vienna Manifesto on Digital Humanism and the associated lecture series. Digital Humanism deals with the complex relationships between people and machines in digital times. It acknowledges the potential of information technology. At the same time, it points to societal threats such as privacy violations and ethical concerns around artificial intelligence, automation and loss of jobs, ongoing monopolization on the Web, and sovereignty. Digital Humanism aims to address these topics with a sense of urgency but with a constructive mindset. The book argues for a Digital Humanism that analyses and, most importantly, influences thecomplex interplay of technology and humankind toward a better society and life while fully respecting universal human rights. It is a call to shaping technologies in accordance with human values and needs.
Knowledge Graphs and Semantic Web
This book constitutes the thoroughly refereed proceedings of the Third Iberoamerican Conference, KGSWC 2021, held in Kingsville, Texas, USA, in November 2021.*The 22 full and 2 short papers presented were carefully reviewed and selected from 85 submissions. The papers cover topics related to software and its engineering, information systems, software creation and management, World Wide Web, web data description languages, and others.*Due to the Covid-19 pandemic the conference was held virtually.
HCI International 2021 - Late Breaking Papers
This book constitutes late breaking papers from the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held in July 2021. The conference was planned to take place in Washington DC, USA but had to change to a virtual conference mode due to the COVID-19 pandemic. A total of 5222 individuals from academia, research institutes, industry, and governmental agencies from 81 countries submitted contributions, and 1276 papers and 241 posters were included in the volumes of the proceedings that were published before the start of the conference. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of HCI, addressing major advances in knowledge and effective use of computers in a variety of application areas.
HCI International 2021 - Late Breaking Papers
This book constitutes late breaking papers from the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held in July 2021. The conference was planned to take place in Washington DC, USA but had to change to a virtual conference mode due to the COVID-19 pandemic. A total of 5222 individuals from academia, research institutes, industry, and governmental agencies from 81 countries submitted contributions, and 1276 papers and 241 posters were included in the volumes of the proceedings that were published before the start of the conference. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of HCI, addressing major advances in knowledge and effective use of computers in a variety of application areas.
Advances in Pattern Recognition and Artificial Intelligence
This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.
Get Into UX
Get Into UX book is a career advice book written to help new and experienced designers get unstuck in their pursuits to get UX jobs.The UX field has been booming for years, and as a result, a landslide of new talent has been flooding the market. All of the newcomers want to learn user experience design or research as fast as possible and get paid professional positions. However, only a fraction of them breaks into the field.On the one hand, you have young designers struggling to find jobs, and on the other hand, managers who can't find enough experienced talent. Often this is attributed to uninformed gurus, hasty bootcamps and other get-into-UX-quick schemes that overpromise, but never make anyone fully market-ready.Why do they not work? As a discipline, UX is too complex to graduate into overnight. It requires months and often years of commitment to do it justice.That doesn't mean you cannot shorten this journey.This book is a foolproof guide to correct course and help UX researchers and designers like you focus on the right things to get the job you want.Every chapter is written to give you insights and practical tools that you need to: Set yourself apart from the majority of entry and junior-level applicants by genuinely understanding what UX is and what it isn't; It's time to distil user experience design into an effective workflow that adds clarity and pulls you out of the crowd of the unsure.Set up your UX career for long term success; learn the craft that is challenging, rewarding and futureproof. This means buckling up for the long term development but starting now.Overcome the self-sabotaging actions by focusing on the right things. Have you ever wondered why some UX designers get ahead quickly, and others don't? Hint: it's rarely to do with external factors.Shorten your journey from beginner to pro by using field-proven strategies and specific tactics. You'll learn how to go from awareness to 'can do' without getting stuck.Ace your UX portfolio, resumes, and interviews by showcasing your skills in the right way and for the right audiences. We'll unpack the essentials and the small yet critical detail to get your foot in the door.About the authorVy (Vytautas) Alechnavicius is a design leader, seasoned and award-winning user experience and user research team manager, hiring manager and design educator to many. Over the past decade, Vy has been involved in UX driven projects from public services, healthcare, finance, transport, retail, and many other industries. Vy has established and grown small-to-large experience design and research teams, mentored and up-skilled the up-and-coming UX designers, and helped shape local and wider-reach design communities. On a typical day, you'll find him in his office working on the next project, most recently that's been focussed on giving back to the wider experience design community.
Reimagine Remote Working with Microsoft Teams
Get a 360-degree view of Teams as a secure collaboration tool with best practices and recommendations for using Teams efficientlyKey Features: Master and manage virtual meetings easily using TeamsUnderstand the essential security and administration aspects of Microsoft TeamsCommunicate and collaborate effectively with your colleagues using Teams and M365 apps such as Sway, Yammer, and Stream Book Description: The outbreak of the pandemic has forced the world to embrace remote working and the modern style of virtual business. However, end users may find it challenging to cope with this sudden change in working style, not aware of all the features and remote working tools available to make their life easy. Microsoft Teams is an exceptional platform, adopted by many organizations for unified communication and collaboration, and this book will help you to make the most of its capabilities.Complete with step-by-step explanations and screenshots, this book guides you through the topics that you'll find useful in your daily use of Teams. You'll learn how to manage your teams and projects with Microsoft Teams in a structured and organized way. The book provides hands-on information with a focus on the end user side to help corporate users to increase productivity and become a Microsoft Teams superuser. Finally, you'll explore the most effective ways of using the app with best practices and tips and tricks for making the most of the features available for your scenario.By the end of this Microsoft Teams book, you'll have mastered Microsoft Teams and be fully equipped as a modern collaboration end user to effectively increase your remote work productivity.What You Will Learn: Find out how to secure your documents and data with Microsoft's securityImprove your organization's productivity and engagement with Microsoft TeamsIntegrate Teams with other Office 365 apps such as SharePoint, OneNote, and OneDriveAutomate your regular tasks with easy end-user automation optionsDiscover best practices and etiquettes for using Teams efficiently and effectivelyExplore tips and tricks from expert MVP and Microsoft Certified Trainer (MCT) authorsWho this book is for: This book for anyone who wants to improve their day-to-day productivity using Microsoft Teams. Anyone with access to Office 365 apps will find this book useful irrespective of their designations. Fundamental knowledge of Microsoft Office 365 Applications is required.
Planning and Control Using Microsoft Project 365 and 2021
All scheduling software is difficult to learn for a number of reasons. None have the optimal settings when installed and templates, views and default options need to be adjusted to obtain the best possible performance. Usually the Help files do not connect the user to real life situations and do not explain the practical use of functions. Furthermore, there are many flicks and switches with obscure names that are difficult to understand or decide what they do or which are important. These issues make learning the software very difficult without a comprehensive guide written by an experienced user. Investing in a book written by Paul E Harris will address all these issues and allow you to setup the software properly and understand all the obscure functions letting you become productive more quickly and enhance your career opportunities and salary with a solid understanding of the software.Microsoft(R) Project 2021 is a minor update of Microsoft(R) Project 2019 and therefore this book covers versions 2013, 2016, 2019 2021 and 365. This book is aimed at showing project management professionals how to use the software in a project environment.This book is an update of the author's last book "Planning and Scheduling using Microsoft(R) Project 2013, 2016 and 21. It has revised workshops and incudes the new functions of Microsoft Project 2021.This publication was written so it may be used as: - A training manual, or- A self teach book, or- A user guide.The book stays focused on the information required to create and update a schedule with or without resources using Microsoft(R) Project by: - Concentrating on the core functions required to plan and control a project.- Keeping the information relevant to each topic in the appropriate chapter.- Providing a quick reference at the start of each chapter listing the chapter topics.- Providing a comprehensive index of all topics.The book is aimed at: - Project managers and schedulers who wish learn the software, however are unable to attend a training course, or require a reference book.- Project management companies in industries such as building, construction, oil & gas, software development, government and defence who wish to run their own software training courses or provide their employees a good practical guide to using the software.- Training organizations who require a training manual to run their own courses.This book is written by an experienced scheduler, who has used the software at the sharp end of projects and is not a techo. It draws on the author's practical experience in using the software in a wide variety of industries. It presents workable solutions to real day to day planning and scheduling problems and contains practical advice on how to set up the software and import data.
HCI International 2021 - Late Breaking Papers
This book constitutes late breaking papers from the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held in July 2021. The conference was planned to take place in Washington DC, USA but had to change to a virtual conference mode due to the COVID-19 pandemic. A total of 5222 individuals from academia, research institutes, industry, and governmental agencies from 81 countries submitted contributions, and 1276 papers and 241 posters were included in the volumes of the proceedings that were published before the start of the conference. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of HCI, addressing major advances in knowledge and effective use of computers in a variety of application areas.
HCI International 2021 - Late Breaking Papers
This book constitutes late breaking papers from the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held in July 2021. The conference was planned to take place in Washington DC, USA but had to change to a virtual conference mode due to the COVID-19 pandemic. A total of 5222 individuals from academia, research institutes, industry, and governmental agencies from 81 countries submitted contributions, and 1276 papers and 241 posters were included in the volumes of the proceedings that were published before the start of the conference. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The contributions thoroughly cover the entire field of HCI, addressing major advances in knowledge and effective use of computers in a variety of application areas.
HCI International 2021 - Late Breaking Posters
This two-volume ​set CCIS 1498 and CCIS 1499 contains the late breaking posters presented during the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held virtually in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The posters presented in these two volumes are organized in topical sections as follows: HCI Theory and Practice; UX Design and Research in Intelligent Environments; Interaction with Robots, Chatbots, and Agents; Virtual, Augmented, and Mixed Reality; Games and Gamification; HCI in Mobility, Transport and Aviation; ​Design for All and Assistive Technologies; Physiology, Affect and Cognition; HCI for Health and Wellbeing; HCI in Learning, Teaching, and Education; Culture and Computing; Social Computing; Design Case Studies; User Experience Studies.
Artificial Intelligence XXXVIII
This book constitutes the proceedings of the 41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2021, which was supposed to be held in Cambridge, UK, in December 2021. The conference was held virtually due to the COVID-19 pandemic.The 22 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 37 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: technical paper; machine learning; AI techniques; short technical stream papers; application papers; applications of machine learning; AI for medicine; advances in applied AI; and short application stream papers.
Why Digital Displays Cannot Replace Paper
From readability to operability, this book presents a number of experiments to analyze the characteristics of paper and digital displays in reading and writing. Why is it easy to read on paper? Why is it easy to concentrate on reading on paper? Why is it easy to think while writing or drawing on paper? This book answers these questions based on cognitive experiments on media. Paper is easy to read because it is easy to handle. If we emphasize the strengths of paper, paper is an operation media rather than a presentation media. These experiments also indicate how to develop digital media for reading and writing.This book will interest those who want to gain a scientific understanding of reading and writing on paper, those who want to work more effectively by selectively using paper and digital tools (e.g. knowledge workers and educators), and those who develop digital devices or services for reading and writing.
Smart and Sustainable Agriculture
This book constitutes the refereed proceedings of the First International Conference on Smart and Sustainable Agriculture, SSA 2021, held as a virtual event in June 2021. The 12 papers presented were thoroughly reviewed and selected from the 25 qualified submissions. The papers provide discussion on new trends in communication and networking, Internet of Things, data processing for smart agriculture, renewable-energy based devices, low-cost solutions for wide-area exploitations and developing countries, smart agriculture and urban farming, smart irrigation, application to small-size andlarge-size exploitations, application of ancestral farming to smart agriculture, waste management for agriculture 2.0, and census of regional ancestral farming.
Jenkins Administrator’s Guide
Build and manage a production Jenkins instance, complete with CI/CD pipelines using GitHub and Docker Hub, Jenkins Configuration as Code, Shared Libraries, Script Security, and optimization guidesKey Features: Set up production-grade Jenkins and CI/CD pipelines with GitHub and Docker Hub integrationsManage, protect, and upgrade a production Jenkins instance regardless of its size and the number of usersScale a Jenkins instance using advanced optimization tips, tricks, and best practices Book Description: Jenkins is a renowned name among build and release CI/CD DevOps engineers because of its usefulness in automating builds, releases, and even operations. Despite its capabilities and popularity, it's not easy to scale Jenkins in a production environment. Jenkins Administrator's Guide will not only teach you how to set up a production-grade Jenkins instance from scratch, but also cover management and scaling strategies.This book will guide you through the steps for setting up a Jenkins instance on AWS and inside a corporate firewall, while discussing design choices and configuration options, such as TLS termination points and security policies. You'll create CI/CD pipelines that are triggered through GitHub pull request events, and also understand the various Jenkinsfile syntax types to help you develop a build and release process unique to your requirements. For readers who are new to Amazon Web Services, the book has a dedicated chapter on AWS with screenshots. You'll also get to grips with Jenkins Configuration as Code, disaster recovery, upgrading plans, removing bottlenecks, and more to help you manage and scale your Jenkins instance.By the end of this book, you'll not only have a production-grade Jenkins instance with CI/CD pipelines in place, but also knowledge of best practices by industry experts.What You Will Learn: Set up a production-grade Jenkins instance on AWS and on-premisesCreate continuous integration and continuous delivery (CI/CD) pipelines triggered by GitHub pull request eventsUse Jenkins Configuration as Code to codify a Jenkins setupBackup and restore configurations and plan for disaster recoveryPlan, communicate, execute, and roll back upgrade scenariosIdentify and remove common bottlenecks in scaling JenkinsUse Shared Libraries to develop helper functions and create new DSLsWho this book is for: This book is for both new Jenkins administrators and advanced users who want to optimize and scale Jenkins. Jenkins beginners can follow the step-by-step directions, while advanced readers can join in-depth discussions on Script Security, removing bottlenecks, and other interesting topics. Build and release CI/CD DevOps engineers of all levels will also find new and useful information to help them run a production-grade Jenkins instance following industry best practices.
Artificial Life
This enthralling book alerts us to nothing less than the existence of new varieties of life. Some of these species can move and eat, see, reproduce, and die. Some behave like birds or ants. One such life form may turn out to be our best weapon in the war against AIDS. What these species have in common is that they exist inside computers, their DNA is digital, and they have come into being not through God's agency but through the efforts of a generation of scientists who seek to create life in silico. But even as it introduces us to these brilliant heretics and unravels the intricacies of their work. Artificial Life examines its subject's dizzying philosophical implications: Is a self-replicating computer program any less alive than a flu virus? Are carbon-and-water-based entities merely part of the continuum of living things? And is it possible that one day "a-life" will look back at human beings and dismiss us as an evolutionary way station -- or, worse still, a dead end?
Web App Development and Real-Time Web Analytics with Python
Learn to develop and deploy dashboards as web apps using the Python programming language, and how to integrate algorithms into web apps. Author Tshepo Chris Nokeri begins by introducing you to the basics of constructing and styling static and interactive charts and tables before exploring the basics of HTML, CSS, and Bootstrap, including an approach to building web pages with HTML. From there, he'll show you the key Python web frameworks and techniques for building web apps with them. You'll then see how to style web apps and incorporate themes, including interactive charts and tables to build dashboards, followed by a walkthrough of creating URL routes and securing web apps. You'll then progress to more advanced topics, like building machine learning algorithms and integrating them into a web app. The book concludes with a demonstration of how to deploy web apps in prevalent cloud platforms. Web App Development and Real-Time Web Analytics with Python isideal for intermediate data scientists, machine learning engineers, and web developers, who have little or no knowledge about building web apps that implement bootstrap technologies. After completing this book, you will have the knowledge necessary to create added value for your organization, as you will understand how to link front-end and back-end development, including machine learning. What You Will Learn Create interactive graphs and render static graphs into interactive ones Understand the essentials of HTML, CSS, and Bootstrap Gain insight into the key Python web frameworks, and how to develop web applications using them Develop machine learning algorithms and integrate them into web apps Secure web apps and deploy them to cloud platforms Who This Book Is For Intermediate data scientists, machine learning engineers, and web developers.
Virtual Reality and Mixed Reality
This book constitutes the refereed proceedings of the 18th International Conference on Virtual Reality and Mixed Reality, EuroXR 2021, held in Valencia, Spain, in November 2021.The 8 full and 4 short papers were carefully reviewed and selected from 31 submissions. The conference presents contributions on virtual reality, mixed reality, augmented reality, collaborative virtual environment, tangible user interface, CAD model processing, and others. The papers are organized in the blocks named: ​Perception and Cognition; Interactive Techniques; Tracking and Rendering; Use case and User study; Short papers.
HCI International 2021 - Late Breaking Posters
This two-volume ​set CCIS 1498 and CCIS 1499 contains the late breaking posters presented during the 23rd International Conference on Human-Computer Interaction, HCII 2021, which was held virtually in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. Additionally, 174 papers and 146 posters are included in the volumes of the proceedings published after the conference, as "Late Breaking Work" (papers and posters). The posters presented in these two volumes are organized in topical sections as follows: HCI Theory and Practice; UX Design and Research in Intelligent Environments; Interaction with Robots, Chatbots, and Agents; Virtual, Augmented, and Mixed Reality; Games and Gamification; HCI in Mobility, Transport and Aviation; ​Design for All and Assistive Technologies; Physiology, Affect and Cognition; HCI for Health and Wellbeing; HCI in Learning, Teaching, and Education; Culture and Computing; Social Computing; Design Case Studies; User Experience Studies.
Artificial Intelligence for Communications and Networks
This two-volume set LNICST 396 and 397 constitutes the post-conference proceedings of the Third EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 79 full papers were carefully reviewed and selected from 159 submissions. The papers are organized in topical sections on Artificial Intelligence in Wireless Communications and Satellite Communications; Artificial Intelligence in Electromagnetic Signal Processing; Artificial Intelligence Application in Wireless Caching and Computing; Artificial Intelligence Application in Computer Network.
AWS Certified DevOps Engineer - Professional Certification and Beyond
Explore the ins and outs of becoming an AWS certified DevOps professional engineer with the help of easy-to-follow practical examples and detailed explanationsKey Features: Discover how to implement and manage continuous delivery systems and methodologies on AWSExplore real-world scenarios and hands-on examples that will prepare you to take the DOP-C01 exam with confidenceLearn from enterprise DevOps scenarios to prepare fully for the AWS certification exam Book Description: The AWS Certified DevOps Engineer certification is one of the highest AWS credentials, vastly recognized in cloud computing or software development industries. This book is an extensive guide to helping you strengthen your DevOps skills as you work with your AWS workloads on a day-to-day basis.You'll begin by learning how to create and deploy a workload using the AWS code suite of tools, and then move on to adding monitoring and fault tolerance to your workload. You'll explore enterprise scenarios that'll help you to understand various AWS tools and services. This book is packed with detailed explanations of essential concepts to help you get to grips with the domains needed to pass the DevOps professional exam. As you advance, you'll delve into AWS with the help of hands-on examples and practice questions to gain a holistic understanding of the services covered in the AWS DevOps professional exam. Throughout the book, you'll find real-world scenarios that you can easily incorporate in your daily activities when working with AWS, making you a valuable asset for any organization.By the end of this AWS certification book, you'll have gained the knowledge needed to pass the AWS Certified DevOps Engineer exam, and be able to implement different techniques for delivering each service in real-world scenarios.What You Will Learn: Automate your pipelines, build phases, and deployments with AWS-native toolingDiscover how to implement logging and monitoring using AWS-native toolingGain a solid understanding of the services included in the AWS DevOps Professional examReinforce security practices on the AWS platform from an exam point of viewFind out how to automatically enforce standards and policies in AWS environmentsExplore AWS best practices and anti-patternsEnhance your core AWS skills with the help of exercises and practice testsWho this book is for: This book is for AWS developers and SysOps administrators looking to advance their careers by achieving the highly sought-after DevOps Professional certification. Basic knowledge of AWS as well as its core services (EC2, S3, and RDS) is needed. Familiarity with DevOps concepts such as source control, monitoring, and logging, not necessarily in the AWS context, will be helpful.
Azure Data Scientist Associate Certification Guide
Develop the skills you need to run machine learning workloads in Azure and pass the DP-100 exam with easeKey Features: Create end-to-end machine learning training pipelines, with or without codeTrack experiment progress using the cloud-based MLflow-compatible process of Azure ML servicesOperationalize your machine learning models by creating batch and real-time endpoints Book Description: The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate.Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters.Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio.You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production.By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam.What You Will Learn: Create a working environment for data science workloads on AzureRun data experiments using Azure Machine Learning servicesCreate training and inference pipelines using the designer or codeDiscover the best model for your dataset using Automated MLUse hyperparameter tuning to optimize trained modelsDeploy, use, and monitor models in productionInterpret the predictions of a trained modelWho this book is for: This book is for developers who want to infuse their applications with AI capabilities and data scientists looking to scale their machine learning experiments in the Azure cloud. Basic knowledge of Python is needed to follow the code samples used in the book. Some experience in training machine learning models in Python using common frameworks like scikit-learn will help you understand the content more easily.
Interviewing & Hiring Software Performance Test Professionals
Where do you find high value software performance professionals. Most people, when they think of a software performance professional, immediately think of a tester. It is worthwhile to stop and consider what is the desired outcome of your performance effort. Do you need to validate? To tune? To uncover deep architectural issues? The answer will often determine the type of individual you need to solicit on the open market: An architect, an engineer, or a tester.This book is targeted at those who need to recruit, to interview, and to objectively evaluate the capabilities of different classes of performance professionals even if you do not have a mature performance testing team that can evaluate the candidate.RecruitersInterviewersPersonnel ManagersOrganizational Contacts For Outsourced SkillsProduct OwnersThis book is for you. To enable you to accurately identify the skills you need. You will gain insight into the foundational skills shared by high value performance professionals & how to interview for these skills.This book will save you from at least one bad hire.
Soft Computing in Data Science
This book constitutes the refereed proceedings of the 6th International Conference on Soft Computing in Data Science, SCDS 2021, which was held virtually in November 2021. The 31 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on ​​AI techniques and applications; data analytics and technologies; data mining and image processing; machine & statistical learning.
Scammers Paradise
Millions of innocent internet users are bombarded daily with scam emails of all sorts originating from Nigeria and Nigerian scammers elsewhere; and a lot many have fallen victims, losing millions of dollars to these faceless scammers in the process. Internet scam, Internet fraud, advance fee fraud, email scams, dating scams, NGO scams, charity scams - whichever name you choose to call it, it is what it is. And in Nigeria it is a thriving industry clandestinely employing millions of young people. The extent and reach of this industry till this publication, has never been fully comprehended or revealed. It is only imagined, speculated upon, and largely underestimated due to the secrecy in which the scam deals are carried out as well as the code of silence - administered and enforced by voodoo priests - that guides and protects its practitioners. Hence, all the age-old questions regarding them still persist: Who exactly are these scammers? Why do they do what they do? How are they recruited? How do they operate? From where do they operate? Are they alone? Do they have godfathers in high places? Is there a governmental connection to it? Is there an unholy link with law enforcement? Is there a connivance with legitimate banks and financial institutions? What of the much talked about collusion of organized religion? Is there a philosophy to 419? How do 419ers they think? And what do they think when they think? What do they believe? How deadly are they? In fact, what exactly is 419? How did it start? Why is it so successful? Various attempts to answer these questions have been, at best a scratching of the surface, which only succeeded in raising more questions than answers. Why? For the simple fact that these works are mainly the products of professional writers, law enforcement agents, foreign investigators and white collar activists, who find it extremely difficult, as a matter of fact impossible, to penetrate the secrecy of scam deals or crack that code of silence that guides these fraudsters. The need therefore arises for an insider story, detailed, authoritative, first-hand and uncut, a tell-all, by someone who has been there, seen it all and done it. And that is exactly what you get in these pages. In this superlative revelation of a story based on real events, Lucas takes us on a guided tour of the Nigerian internet scam industry as no one had ever done before. It's a personal story. From how he entered the syndicate to his last day as a scammer. From all that he saw and all that he heard, to all the background information and analysis, as well as all the various thought provoking point of views that prevails among the scammers and also the human angle to the drama. It is tour worth taking. Come along.
Pricai 2021
This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021.The 93 full papers and 28 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc. Part II includes two thematic blocks: Natural Language Processing, followed by Neural Networks and Deep Learning.
Transforming Your Business with Aws
Expert guidance on how to use Amazon Web Services to supercharge your digital services business In Transforming Your Business with AWS: Getting the Most Out of Using AWS to Modernize and Innovate Your Digital Services, renowned international consultant and sought-after speaker Philippe Abdoulaye delivers a practical and accessible guide to using Amazon Web Services to modernize your business and the digital services you offer. This book provides you with a concrete action plan to build a team capable of creating world-class digital services and long-term competitive advantages. You'll discover what separates merely average digital service organizations from the truly outstanding, as well as how moving to the cloud will enable your business to deliver your services faster, better, and more efficiently. This book also includes: A comprehensive overview of building industry-leading digital service delivery capabilities, including discussions of the development lifecycle, best practices, and AWS-based development infrastructure Explanations of how to implement a digital business transformation strategy An exploration of key roles like DevOps Continuous Delivery, Continuous Deployment, Continuous Integration, Automation, and DevSecOps Hands-on treatments of AWS application management tools, including Elastic Beanstalk, CodeDeploy, and CodePipeline Perfect for executives, managers, and other business leaders attempting to clarify and implement their organization's digital vision and strategy, Transforming Your Business with AWS is a must-read reference that answers the "why" and, most importantly, the "how," of digital transformation with Amazon Web Services.
Pricai 2021
This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021.The 93 full papers and 28 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc. Part I includes the following topical headings: AI Foundations / Decision Theory, Applications of AI, Data Mining and Knowledge Discovery, Evolutionary Computation / Optimisation, Knowledge Representation and Reasoning.
Stereoscopic Image Quality Assessment
This book provides a comprehensive review of all aspects relating to visual quality assessment for stereoscopic images, including statistical mathematics, stereo vision and deep learning. It covers the fundamentals of stereoscopic image quality assessment (SIQA), the relevant engineering problems and research significance, and also offers an overview of the significant advances in visual quality assessment for stereoscopic images, discussing and analyzing the current state-of-the-art in SIQA algorithms, the latest challenges and research directions as well as novel models and paradigms. In addition, a large number of vivid figures and formulas help readers gain a deeper understanding of the foundation and new applications of objective stereoscopic image quality assessment technologies. Reviewing the latest advances, challenges and trends in stereoscopic image quality assessment, this book is a valuable resource for researchers, engineers and graduate students working in related fields, including imaging, displaying and image processing, especially those interested in SIQA research.
Machine Learning Control by Symbolic Regression
This book provides comprehensive coverage on a new direction in computational mathematics research: automatic search for formulas. Formulas must be sought in all areas of science and life: these are the laws of the universe, the macro and micro world, fundamental physics, engineering, weather and natural disasters forecasting; the search for new laws in economics, politics, sociology. Accumulating many years of experience in the development and application of numerical methods of symbolic regression to solving control problems, the authors offer new possibilities not only in the field of control automation, but also in the design of completely different optimal structures in many fields. For specialists in the field of control, Machine Learning Control by Symbolic Regression opens up a new promising direction of research and acquaints scientists with the methods of automatic construction of control systems.For specialists in the fieldof machine learning, the book opens up a new, much broader direction than neural networks: methods of symbolic regression. This book makes it easy to master this new area in machine learning and apply this approach everywhere neural networks are used. For mathematicians, the book opens up a new approach to the construction of numerical methods for obtaining analytical solutions to unsolvable problems; for example, numerical analytical solutions of algebraic equations, differential equations, non-trivial integrals, etc. For specialists in the field of artificial intelligence, the book offers a machine way to solve problems, framed in the form of analytical relationships.
Applied Learning Algorithms for Intelligent IoT
This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights.This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The book's detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research.
Multimodal Learning for Clinical Decision Support
This book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic.The 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.
Intelligent Robotics and Applications
The 4-volume set LNAI 13013 - 13016 constitutes the proceedings of the 14th International Conference on Intelligent Robotics and Applications, ICIRA 2021, which took place in Yantai, China, during October 22-25, 2021.The 299 papers included in these proceedings were carefully reviewed and selected from 386 submissions. They were organized in topical sections as follows: Robotics dexterous manipulation; sensors, actuators, and controllers for soft and hybrid robots; cable-driven parallel robot; human-centered wearable robotics; hybrid system modeling and human-machine interface; robot manipulation skills learning; micro_nano materials, devices, and systems for biomedical applications; actuating, sensing, control, and instrumentation for ultra-precision engineering; human-robot collaboration; robotic machining; medical robot; machine intelligence for human motion analytics; human-robot interaction for service robots; novel mechanisms, robots and applications; space robot and on-orbit service; neural learning enhanced motion planning and control for human robot interaction; medical engineering.
Artificial Intelligence Theory, Models, and Applications
This book examines the fundamentals and technologies of Artificial Intelligence (AI) and describes their tools, challenges, and issues. It also explains relevant theory as well as industrial applications in various domains, such as healthcare, economics, education, product development, agriculture, human resource management, environmental management, and marketing. The book is a boon to students, software developers, teachers, members of boards of studies, and researchers who need a reference resource on artificial intelligence and its applications and is primarily intended for use in courses offered by higher education institutions that strive to equip their graduates with Industry 4.0 skills.FEATURES: Gender disparity in the enterprises involved in the development of AI-based software development as well as solutions to eradicate such gender bias in the AI world A general framework for AI in environmental management, smart farming, e-waste management, and smart energy optimization The potential and application of AI in medical imaging as well as the challenges of AI in precision medicine AI's role in the diagnosis of various diseases, such as cancer and diabetes The role of machine learning models in product development and statistically monitoring product quality Machine learning to make robust and effective economic policy decisions Machine learning and data mining approaches to provide better video indexing mechanisms resulting in better searchable results ABOUT THE EDITORS: Prof. Dr. P. Kaliraj is Vice Chancellor at Bharathiar University, Coimbatore, India. Prof. Dr. T. Devi is Professor and Head of the Department of Computer Applications, Bharathiar University, Coimbatore, India.
Modern Approach to Artificial Intelligence
The constant and almost alarmingly rapid evolution towards a world where AI would not only be possible but also pervade is not always easy to accept or understand. The various sub fields of Artificial Intelligence along with the technological advancements that are expected in the said fields are given due importance here. This book attempts to assist those with a goal of delving into the field of AI.
Artificial Intelligence
Artificial intelligence (AI) refers to the intelligence that is demonstrated by machines. Devices that perceive the environment and act in a way that aids in the deliverance of its objectives and tasks, are called intelligent agents. Such agents execute tasks by mimicking the cognitive functions of the human brain such as learning and problem solving. Understanding human speech, intelligent routing in content delivery network, competing in strategic game systems such as chess and Go, etc. are all capabilities of artificial intelligence. The ultimate objective of AI is to achieve general intelligence. Artificial intelligence uses varied tools such as search algorithms, mathematical optimization, logic programming, Bayesian networks, etc. in order to solve the most complex problems related to computer science. This book presents the complex subject of artificial intelligence in the most comprehensible and easy to understand language. Most of the topics introduced in this book cover new techniques and the applications of AI. It is a complete source of knowledge on the present status of this important field.
Human Machine Interaction: Processes and Advances
This book consists of a set of researches focusing on various proposals centred on the human-machine interaction development process. The reader is also introduced to various forms of interaction, with a particular emphasis on physical interaction.
Machine Vision: Technology and Applications
Vision plays a significant role for human beings by permitting them to communicate with their surroundings in an effective and efficient way. The major aim of machine vision is to bestow artificial systems with enough efficiency to manage without prior predetermined conditions. For this conclusion, the computing constraints of the hosting architectures and the particulars of the tasks to be performed have to be taken into consideration, along with constant adapting and optimizing of the visual processing techniques. However, by exploiting the low cost computational power of off-the-shell computing devices, machine vision is not restricted to industrial environments, where conditions and tasks are made easy and specific, but it is now pervasive to support system solutions of everyday life difficulties.
