Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Pattern Recognition and Computer Vision
The 4-volume set LNCS 13019, 13020, 13021 and 13022 constitutes the refereed proceedings of the 4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021, held in Beijing, China, in October-November 2021. The 201 full papers presented were carefully reviewed and selected from 513 submissions. The papers have been organized in the following topical sections: Object Detection, Tracking and Recognition; Computer Vision, Theories and Applications, Multimedia Processing and Analysis; Low-level Vision and Image Processing; Biomedical Image Processing and Analysis; Machine Learning, Neural Network and Deep Learning, and New Advances in Visual Perception and Understanding.
Creo Parametric 7.0
As an experienced user in the basics of Creo Parametric 7.0, this learning guide enables you to create electromechanical cabling systems designed in Creo Parametric using the Piping and Cabling Extension. Utilizing the parametric and associative nature of Creo Parametric, an electromechanical designer can easily create realistic 3D cabling assemblies, wire lists, bill of material tables, and nail-board drawings. The Creo Parametric 7.0: Cable and Harness Design learning guide contains numerous practices to give you practical experience that will improve your job performance. This content was developed using Creo Parametric 7.0, Build 7.0.2.0. Topics CoveredCabling Process OverviewCabling TerminologyEnvironment and Configuration SetupElectromechanical Model SetupManual Designation and ParametersManual SpoolsManual Cabling FeaturesLogical Reference TechniqueRouting MethodsModifying Cabling AssembliesAdditional Routing FeaturesNetworkingCabling Assembly DeliverablesHARNESS-MFG PrerequisitesAccess to the Creo Parametric 7.0 software. The practices and files included with this guide might not be compatible with prior versions. Practice files included with this guide are compatible with the commercial version of the software, but not the student edition.It is recommended that you have completed the Creo Parametric: Introduction to Solid Modeling learning guide or have equivalent experience.
Rethinking Virtual Places
How would the humanities change if we grappled with the ways in which digital and virtual places are designed, experienced, and critiqued?In Rethinking Virtual Places, Erik Malcolm Champion draws from the fields of computational sciences and other place-related disciplines to argue for a more central role for virtual space in the humanities. For instance, recent developments in neuroscience could improve our understanding of how people experience, store, and recollect place-related encounters. Similarly, game mechanics using virtual place design might make digital environments more engaging and learning content more powerful and salient. In addition, Champion provides a brief introduction to new and emerging software and devices and explains how they help, hinder, or replace our traditional means of designing and exploring places. Perfect for humanities scholars fascinated by the potential of virtual space, Rethinking Virtual Places challenges both traditional and recent evaluation methods to address the complicated problem of understanding how people evaluate and engage with the notion of place.
Digital Transformation in a Post-Covid World
This book covers innovations, disruptions and changes that are required to adapt in a fast evolving landscape due to the extraordinary circumstances triggered by the Covid-19 pandemic.
The Power of Geometric Algebra Computing
The Power of Geometric Algebra Computing for Engineering and Quantum Computing is based on GAALOPWeb, a new user-friendly, web-based tool for the generation of optimized code for different programming languages as well as for the visualization of Geometric Algebra algorithms for a wide range of engineering applications.
2⁵ Problems for Stem Education
25 Problems for STEM Education introduces a new and emerging course for undergraduate STEM programs called Physical-Mathematical Informatics. This course corresponds with the new direction in education called STE(A)M (Science, Technology, Engineering, [Art] and Mathematics).
Metaheuristic Algorithms in Industry 4.0
Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health
This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Maximizing Tableau Server
Enhance the way you use Tableau Server's analytical tools by learning how to manage content to drive user engagementKey Features: Understand how to quickly get connected, start publishing workbooks, and adjust basic settingsNavigate the Tableau Server interface to filter and locate content, customize viewing options, and automate various tasksLearn best practices for improving the efficiency of workbooks and data sourcesBook Description: Tableau Server is a business intelligence application that provides a centralized location to store, edit, share, and collaborate on content, such as dashboards and curated data sources. This book gets you up and running with Tableau Server to help you increase end-user engagement for your published work as well as reduce or eliminate redundant tasks.You'll explore Tableau Server's structure and how to get started by connecting, publishing content, and navigating the software interface. Next, you'll learn when and how to update the settings of your content at various levels to best utilize Tableau Server's features. You'll understand how to interact with the Tableau Server interface to locate, sort, filter, manage and customize content. Later, the book shows you how to leverage other valuable features that enable you and your audience to share, download, and interact with content on Tableau Server. As you progress, you'll cover principles to increase the performance of your published content. All along, the book shows you how to navigate, interact with, and use Tableau Server with the help of engaging examples and best practices shared by recognized Tableau professionals.By the end of this Tableau book, you'll have a solid understanding of how to use Tableau Server to manage content, automate tasks, and increase end-user engagement.What You Will Learn: Get well-versed in Tableau Server's interface to quickly and easily access essential contentExplore the different types of content and navigate through the project hierarchy quicklyUnderstand how to connect, publish, manage, and modify content on Tableau ServerDiscover how to share content and collaborate with othersAutomate tedious tasks by creating custom views, alerts, subscriptions, and data refresh schedulesBuild data visualizations using Web EditUnderstand how to monitor disparate metrics on multiple dashboardsWho this book is for: This Tableau software book is for BI developers, data analysts, and everyday users who have access to Tableau Server and possess basic web navigation skills. No prior experience with Tableau Server is required.
Simulation and Synthesis in Medical Imaging
This book constitutes the refereed proceedings of the 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 14 full papers presented were carefully reviewed and selected from 18 submissions. The contributions span the following broad categories in alignment with the initial call-for-papers: methods based on generative models or adversarial learning for MRI/CT/ microscopy image synthesis, and several applications of image synthesis and simulation for data augmentation, image enhancement, or segmentation. *The workshop was held virtually.
Machine Learning in Medical Imaging
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.
Autodesk Inventor CAM 2022
The Autodesk(R) Inventor(R) CAM 2022: Milling Fundamentals guide focuses on instructing new users on how to use the Inventor CAM add-on to create milling toolpaths. The guide begins with an introduction to the overall Inventor interface and explains how to manipulate your 3D model to change its orientation and view display. Through additional hands-on, practice-intensive curriculum, you will learn the key skills and knowledge required to take the 3D model, set it up in the CAM environment, and assign the 2D and 3D milling toolpaths needed to generate the CNC code required by milling machines. Topics CoveredNavigate the Inventor software interface to locate and execute commands.Use the model orientation commands to pan, zoom, rotate, and look at a model.Assign visual styles to your models.Locate, modify, and create tools in the Tool Library.Set up machining operations using Inventor CAM.Create 2D Milling, 3D Milling and Drilling toolpaths using the Inventor CAM interface.Use the Simulation option to visualize toolpaths.Import a tool library.Create a toolpath template.Post process an Inventor CAM setup to output the CNC code required to machine a model. PrerequisitesAccess to the 2022 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide are not compatible with prior versions (e.g., 2021).As an introductory guide, Autodesk(R) Inventor(R) CAM 2022: Milling Fundamentals does not assume prior knowledge of Autodesk Inventor CAM. However, this guide will not provide instructional content on how to create 3D models using the Inventor modeling tools. Its focus is solely on generating 2D and 3D milling and drilling toolpaths once models are created. The Autodesk(R) Inventor(R) 2022: Introduction to Solid Modeling guide should be used to learn to create 3D models. It is recommended that users have prior experience with the Windows operating system, knowledge of 3D model creation/modification, and an understanding of the CNC milling process.
Autodesk Vault Workgroup 2022
The Autodesk(R) Vault Workgroup 2022: Essentials learning guide expands the Autodesk(R) Vault Basic functionality to working with document lifecycles and providing knowledge of advanced data organization.This learning guide is intended for users and CAD administrators with Autodesk Vault Basic knowledge who want to expand their skills to accommodate additional engineering workflows and data organization. This learning guide focuses on the features of Autodesk Vault Workgroup. Hands-on exercises are included to reinforce lifecycle and revision management. Users are taught how to manage lifecycles, properties, categories, and revisions. Topics CoveredIntroduction to Autodesk Vault WorkgroupLifecycle StatesRevision ManagementWorking with CategoriesManaging PropertiesAutomatic File NamingCreating ReportsCopy DesignJob ServerVault Revision Table Administration PrerequisitesAccess to the 2022 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide might not be compatible with prior versions (e.g., 2021). It is recommended that you have a good working knowledge of Autodesk CAD programs and have working knowledge of Autodesk Vault Basic features.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Intelligent Support for Computer Science Education
Intelligent Support for Computer Science Education presents the authors' research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.*The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound*The conference was held virtually.
Enterprise LMS with Adobe Captivate Prime
Learn to publish content online effectively with maximum ROI using this most definitive guide on Captivate Prime from the author of bestselling Captivate books, Damien BruyndonckxKey Features: Explore Captivate Prime to publish e-learning content such as videos, SCORM packages, and PPTs onlineDiscover best practices for creating, managing, and administering an online learning platformImplement gamification, social learning, and AI-enabled recommendation for an immersive learning experienceBook Description: Adobe Captivate Prime is an enterprise learning management system (LMS) that enables organizations to deliver, manage, and track engaging learning experiences for employees, partners, and customers. This book will help you unlock the full potential of this platform to deliver world-class learning experiences.Complete with walkthroughs, examples, and strategies to fully understand Captivate Prime, this book will set you on the path to becoming an administrator, author, or teacher and see you experiment with Captivate Prime from different perspectives. You'll gain an in-depth understanding of how the features relate to one another and to your business.After setting up the platform, you'll learn how to push learning content online and arrange it to build an online course that provides a blended learning experience. You'll be able to deploy your content to different devices and explore Captivate Prime's features for monitoring your students' progress on a daily basis. Finally, you'll see how to organize and maintain your course catalog and take the learner experience to the next level.By the end of the book, you'll be able to implement your organization's training strategy and provide engaging learning experiences while building meaningful reports to monitor their effectiveness.What You Will Learn: Configure and customize Captivate Prime LMS to fulfill your business training needsIntegrate Captivate Prime into your existing IT infrastructureManage different types of users such as employees, partners, and customers on your training platformPublish and organize your learning content to build courses, learning programs, and certificationsTrack your students' progress and manage course instances dailyOrganize your learning catalogs to meet the most demanding security and instructional requirementsWho this book is for: This book is for learning and development professionals, HR managers, corporate instructors, LMS admins, and team leaders looking to set up and manage training and development programs for employees, partners, and customers using Adobe Captivate Prime LMS. The book assumes working knowledge of operating systems and the common tools used by most L&D professionals. A beginner-level understanding of online learning platforms will be beneficial.
Ophthalmic Medical Image Analysis
This book constitutes the refereed proceedings of the 8th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September 2021.* The 20 papers presented at OMIA 2021 were carefully reviewed and selected from 31 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies. *The workshop was held virtually.
Redux Made Easy with Rematch
Discover the power of Rematch and its plugins by building a real-world application from scratchKey Features: Get to grips with the capabilities of Rematch quickly as you build applicationsLearn to use Rematch and its plugins to simplify everyday tasksTake total control of the application state and manage its scalability using RematchBook Description: Rematch is Redux best practices without the boilerplate. This book is an easy-to-read guide for anyone who wants to get started with Redux, and for those who are already using it and want to improve their codebase.Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will take you from the simplest through to the most complex layers of Rematch. You'll learn how to migrate from Redux, and write plugins to set up a fully tested store by integrating it with vanilla JavaScript, React, and React Native. You'll then build a real-world application from scratch with the power of Rematch and its plugins. As you advance, you'll see how plugins extend Rematch functionalities, understanding how they work and help to create a maintainable project. Finally, you'll analyze the future of Rematch and how the frontend ecosystem is becoming easier to use and maintain with alternatives to Redux.By the end of this book, you'll be able to have total control of the application state and use Rematch to manage its scalability with simplicity.What You Will Learn: Understand the principal concepts of Flux and ReduxFind out what the main problems are that Rematch solvesBecome familiar with the Rematch ecosystemDevelop an application using Rematch and React togetherWrite unit and integration tests to get 100% test coverage of your programs with RematchCreate a React Native app with Rematch and ExpoPersist data with redux-persist and RematchBuild a Rematch plugin from scratchWho this book is for: This book is for React and Redux users looking for better alternatives for Redux. Familiarity with JavaScript, React, and Redux will help you make the most of this book.
Excel 2019 Project Book
Designed as a project and case-oriented approach to learning Excel, the emphasis of this book is on learning by doing. The book presents a series of progressively reinforcing problem sets, which allow the exploration of real-life business problems. First, the background, theory, formulas, and calculations arediscussed, followed by the design of Excel spreadsheets, which support the creation of effective spreadsheets for these applications. Finally, the proper solution and other related aspects are discussed, forming a cohesive set of practical application problems. FEATURES: Provides 30 projects, several How-to Guides, and Application Types to learn Excel skills using problems, applications, and case studies featuring practical business problemsExplores formulas and functions, financial functions, cell addressing, conditional functions, lookup functions, graphs, sorting, and filtering, amortization tables, future values of an investment, weighted averages, cash flows, payroll calculations, break even analysis, economic order quantity, spreadsheet databases, and moreInstructor resources available with four Excel video tutorials and images from the text.
Enterprise Integration with Azure Logic Apps
Learn how to create sophisticated and reliable Logic Apps with improved UXKey Features: Become an Azure Master and create data flows within a matter of minutesPerform transfers using Logic Apps with prompt resultsCreate powerful Logic Apps by enhancing your systems to improve user experienceBook Description: Logic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results.You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code.By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience.What You Will Learn: Understand how to use blades, overview pages, and subscription pagesDiscover how to create a Microsoft account to manage your tenantUse a Visual Studio subscription with Azure to manage your Logic AppsFind out how to manage the cloud by analyzing runs, executions, and costsCreate resource groups to zone your enterprise environmentsSupport a development life cycle from sandbox through to productionWho this book is for: If you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.
Image and Graphics
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
Image and Graphics
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
Image and Graphics
This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.
Computer Vision Systems
This book constitutes the refereed proceedings of the 13th International Conference on Computer Vision Systems, ICVS 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 20 papers presented were carefully reviewed and selected from 29 submissions. cover a broad spectrum of issues falling under the wider scope of computer vision in real-world applications, including among others, vision systems for robotics, autonomous vehicles, agriculture and medicine. In this volume, the papers are organized into the sections: attention systems; classification and detection; semantic interpretation; video and motion analysis; computer vision systems in agriculture.
Advances in Photometric 3D-Reconstruction
1. A Comprehensive Introduction to Photometric 3D-Reconstruction.- 2. Perspective Shape from Shading an Exposition on Recent Works with New Experiments.- 3. RGBD-Fusion: Depth Refinement for Diffuse and Specular Objects.- 4. Non-Rigid Structure from Motion and Shading.- 5. On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting.- 6. Recent Progress in Shape from Polarization.- 7. Estimating Facial Aging using Light Scattering Photometry.
A Fast Track to Online Learning
Many books will be written about the latent effects COVID-19 and the response the pandemic will have on our community. Some of the impacts were immediate and obvious, like the forced move to distance learning, and the struggles, schools and families experienced. The most important factor is that school administrators must recognize that teachers and students need more than equipment and internet access. Fast Track to Online Learning describes, in detail, how schools and school districts must adopt a process for the development of advanced curriculum. Curriculum that focuses on critical thinking and leverages the technology to work in distance- and hybrid-learning models - what the author calls Tier 4 Curriculum (T4c).
A Fast Track to Online Learning
Many books will be written about the latent effects COVID-19 and the response the pandemic will have on our community. Some of the impacts were immediate and obvious, like the forced move to distance learning, and the struggles, schools and families experienced. The most important factor is that school administrators must recognize that teachers and students need more than equipment and internet access. Fast Track to Online Learning describes, in detail, how schools and school districts must adopt a process for the development of advanced curriculum. Curriculum that focuses on critical thinking and leverages the technology to work in distance- and hybrid-learning models - what the author calls Tier 4 Curriculum (T4c).
Information Technology Essentials Volume 2
This book is the second in a series of books I designed to help beginners get started with information technology. In the first book, I covered some of the entry-level concepts that computer science students must master. In this volume, you will learn your first programming language, C#.Do you want to learn C# but don't know where to start? Are other beginner's C# books not really for beginners? This guide assumes nothing and will teach you from absolute scratch.The C# programming language from Microsoft is one of the most popular programming languages in the world. Hop on board and learn how to code in C#.The Beginner's Guide to C# is designed for true beginners to get started with this powerful programming language. No prior programming experience is required to read and take full advantage of this book.Readers will need access to a PC to install .NET Core (free download) to run the labs in this book. The guide will also present readers to some affordable cloud-based options that will allow for cloud-based software development.Starting from the very beginning, The Beginner's Guide to C# will present the reader with an elementary sample program. Once the code in the sample program is explained and reviewed, it will then proceed to add elements that illustrate basic language constructs step-by-step. This process will continue until the demonstration program is fully developed.This book will review essential language elements such as: LoopsIf StatementsCase StatementsC# Data TypesMethodsObject-Oriented Programmingand much more.As a final project, the guide will take the reader through the process of building a complete program that integrates all of the concepts in the book.By completing the labs and projects in the The Beginner's Guide to C#, the reader will acquire a basic knowledge of the C# programming language and be able to write code.Buy your copy now and start coding!
Mastercam 2022 for SolidWorks Black Book
The Mastercam 2022 for SolidWorks Black Book is the 3rd edition of our series on Mastercam for SolidWorks. With lots of additions and thorough review, we present a book to help professionals as well as learners in creating some of the most complex NC toolpaths. The book follows a step by step methodology. In this book, we have tried to give real-world examples with real challenges in designing. We have tried to reduce the gap between university use of Mastercam and industrial use of Mastercam. In this edition of book, we have included many new topics of Mastercam 2022 for SolidWorks like Unified Toolpaths, Toolpath Preview, Port Expert, and so on. There are about 25 topics newly added or thoroughly updated in this edition. The book covers almost all the information required by a learner to master Mastercam for SolidWorks. The book starts with basics of machining and ends at advanced topics like Multiaxis Machining Toolpaths. Some of the salient features of this book are: In-Depth explanation of conceptsEvery new topic of this book starts with the explanation of the basic concepts. In this way, the user becomes capable of relating the things with real world.Topics CoveredEvery chapter starts with a list of topics being covered in that chapter. In this way, the user can easy find the topic of his/her interest easily.Instruction through illustrationThe instructions to perform any action are provided by maximum number of illustrations so that the user can perform the actions discussed in the book easily and effectively. There are about 700 small and large illustrations that make the learning process effective.Tutorial point of viewAt the end of concept's explanation, the tutorial make the understanding of users firm and long lasting. Almost each chapter of the book has tutorials that are real world projects. Moreover most of the tools in this book are discussed in the form of tutorials.ProjectProjects and exercises are provided to students for practicing.NewIf anything is added or enhanced in this edition which is not available in the previous editions, then it is displayed with symbol in table of content. For FacultyIf you are a faculty member, then you can ask for video tutorials on any of the topic, exercise, tutorial, or concept. Instructor resources are available for the book which contains answers to self-assessment, Models with Machining setup create, model files of examples discussed in book, and Lesson plan for the book.
3D Imaging, Analysis and Applications
This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops. Overall, the book covers three main areas: ● 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation; ● 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and ● 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants. 3D computer vision is a rapidly advancing area in computer science. There are many real-world applications that demand high-performance 3D imaging and analysis and, as a result, many new techniques and commercial products have been developed. However, many challenges remain on how to analyse the captured data in a way that is sufficiently fast, robust and accurate for the application. Such challenges include metrology, semantic segmentation, classification and recognition. Thus, 3D imaging, analysis and their applications remain a highly-active research field that will continue to attract intensive attention from the research community with the ultimate goal of fully automating the 3D data capture, analysis and inference pipeline.
A Simple Guide to Technology and Analytics
A Simple Guide to Technology and Analytics is a ready reference book for those times when you don't really understand the technology and analytics being talked about.
C16 Machine Language for the Absolute Beginner
First published in 1985, this easy-to-follow guide to the Commodore C16 gives users a crash course introduction to programming in machine code, the best way for aspiring game and utility creators to get the most out of their personal computer. Though the C16 was nowhere near as successful as the much-loved Commodore 64, it still gained many fans, particularly in the European market. Powered by the 7501 (or, in some models, 8501) CPU, the selling point of the machine was its cheap price - US$99 at launch - making it a highly affordable option for families at the time.As the original publisher Melbourne House wrote: *****Compiled exclusively for Commodore 16 users, Commodore 16 Machine Language for the Absolute Beginner offers complete instructions in 7501 machine language - the 7501 CPU is part of the 6502 family and is at the heart of the Commodore 16.If you are frustrated by the limitations of BASIC and want to write faster, more powerful, space-saving programs or subroutines, then this book is for you.Even with no previous understanding of computer languages, the easy-to-understand 'no jargon' format of this book will enable you to discover the power of the Commodore 16's own language. Each chapter includes specific examples of machine language applications which can be demonstrated and used on your own Commodore 16.A full explanation of TEDMON is included, so you can start writing your own machine language programs straight away.Commodore 16 Machine Language for the Absolute Beginner takes you, in logical steps, through a course in machine language programming. This book gives you everything you need to write machine language programs on your Commodore 16.*****Acorn Books is proud to present its Retro Reproductions series, a collection of classic computing works from the 80s and 90s given a new lease of life in the 21st century. From standards of programming reference no self-respecting microcomputer coder would be without, to obscure works unavailable for many years, these modern re-prints are perfect for any connoisseur of retro computing.
Settlement Management in SAP S/4HANA-Condition Contract Settlement
This book is for all users who now, or in the future, want to map rebate processes in SAP S/4HANA and get a practical understanding of contract settlement. Decision-makers and IT managers will also be able to quickly see the possible uses of SAP S/4HANA for Condition Contract Settlement (CCS/CCM) as a sub-function of settlement management. Since SAP ERP 6.0 EHP6, the components Agency Business (LO-AB) and Compensation Management (LO-GT-CHB) have been combined in this holistic application. Subsequent Settlement and SD Bonus have also been replaced by the new tool in SAP S/4HANA.Using typical application scenarios, this book explains not only traditional supplier and customer rebate agreements but also a variety of other settlement scenarios, including fee settlement and commission settlement, chargeback and bonus buys. Readers will also learn about other interesting functionalities such as cross-partner contracts, calculation variants in pricing, and reversing incorrect settlements. This practical guide is supplemented by information on data control reports and helpful tips on integration into accounting.Customer rebates, supplier rebates, commission settlement All settlement scenarios in one moduleExample process-Sales Commissions for External Agents2nd edition with new functionalities in Release 1909
Quaternions for Computer Graphics
If you have ever wondered what quaternions are - then look no further, John Vince will show you how simple and useful they are. This 2nd edition has been completely revised and includes extra detail on the invention of quaternions, a complete review of the text and equations, all figures are in colour, extra worked examples, an expanded index, and a bibliography arranged for each chapter. Quaternions for Computer Graphics includes chapters on number sets and algebra, imaginary and complex numbers, the complex plane, rotation transforms, and a comprehensive description of quaternions in the context of rotation. The book will appeal to students of computer graphics, computer science and mathematics, as well as programmers, researchers, academics and professional practitioners interested in learning about quaternions. John Vince explains in an easy-to-understand language, with the aid of useful figures, how quaternions emerged, gave birth to modern vector analysis, disappeared, and reemerged to be adopted by the flight simulation industry and computer graphics. This book will give you the confidence to use quaternions within your every-day mathematics, and explore more advanced texts.
Enterprise DevOps for Architects
An architect's guide to designing, implementing, and integrating DevOps in the enterpriseKey Features: Design a DevOps architecture that is aligned with the overall enterprise architectureDesign systems that are ready for AIOps and make the move toward NoOpsArchitect and implement DevSecOps pipelines, securing the DevOps enterpriseBook Description: Digital transformation is the new paradigm in enterprises, but the big question remains: is the enterprise ready for transformation using native technology embedded in Agile/DevOps? With this book, you'll see how to design, implement, and integrate DevOps in the enterprise architecture while keeping the Ops team on board and remaining resilient. The focus of the book is not to introduce the hundreds of different tools that are available for implementing DevOps, but instead to show you how to create a successful DevOps architecture.This book provides an architectural overview of DevOps, AIOps, and DevSecOps - the three domains that drive and accelerate digital transformation. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this DevOps book will help you to successfully integrate DevOps into enterprise architecture. You'll learn what AIOps is and what value it can bring to an enterprise. Lastly, you will learn how to integrate security principles such as zero-trust and industry security frameworks into DevOps with DevSecOps.By the end of this DevOps book, you'll be able to develop robust DevOps architectures, know which toolsets you can use for your DevOps implementation, and have a deeper understanding of next-level DevOps by implementing Site Reliability Engineering (SRE).What You Will Learn: Create DevOps architecture and integrate it with the enterprise architectureDiscover how DevOps can add value to the quality of IT deliveryExplore strategies to scale DevOps for an enterpriseArchitect SRE for an enterprise as next-level DevOpsUnderstand AIOps and what value it can bring to an enterpriseCreate your AIOps architecture and integrate it into DevOpsCreate your DevSecOps architecture and integrate it with the existing DevOps setupApply zero-trust principles and industry security frameworks to DevOpsWho this book is for: This book is for enterprise architects and consultants who want to design DevOps systems for the enterprise. It provides an architectural overview of DevOps, AIOps, and DevSecOps. If you're looking to learn about the implementation of various tools within the DevOps toolchain in detail, this book is not for you.
Autodesk Civil 3D 2022
Note: This learning guide is the first of a two-part series, with each guide sold separately.The Autodesk(R) Civil 3D(R) 2022: Fundamentals guide is designed for Civil Engineers and Surveyors who want to take advantage of the Autodesk(R) Civil 3D(R) software's interactive, dynamic design functionality. The Autodesk Civil 3D software permits the rapid development of alternatives through its model-based design tools. You will learn techniques enabling you to organize project data, work with points, create and analyze surfaces, model road corridors, create parcel layouts, perform grading and volume calculation tasks, and lay out pipe networks. Topics CoveredLearn the Autodesk Civil 3D 2022 user interface.Create and edit parcels and print parcel reports.Create points and point groups and work with survey figures.Create and manage styles and label styles.Create, edit, view, and analyze surfaces.Create and edit alignments.Create data shortcuts.Create a Civil 3D template drawing.Create sites, profiles, and cross-sections.Create assemblies, corridors, and intersections.Create grading solutions.Create gravity fed and pressure pipe networks.Perform quantity takeoff and volume calculations.Use plan production tools to create plan and profile sheets. PrerequisitesAccess to the 2022.0 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide might not be compatible with prior versions (e.g., 2021). Experience with AutoCAD(R) or AutoCAD-based products and a sound understanding and knowledge of civil engineering terminology.
Autodesk Civil 3D 2022
Note: This learning guide is the second of a two-part series, with each guide sold separately.The Autodesk(R) Civil 3D(R) 2022: Fundamentals guide is designed for Civil Engineers and Surveyors who want to take advantage of the Autodesk(R) Civil 3D(R) software's interactive, dynamic design functionality. The Autodesk Civil 3D software permits the rapid development of alternatives through its model-based design tools. You will learn techniques enabling you to organize project data, work with points, create and analyze surfaces, model road corridors, create parcel layouts, perform grading and volume calculation tasks, and lay out pipe networks. Topics CoveredLearn the Autodesk Civil 3D 2022 user interface.Create and edit parcels and print parcel reports.Create points and point groups and work with survey figures.Create and manage styles and label styles.Create, edit, view, and analyze surfaces.Create and edit alignments.Create data shortcuts.Create a Civil 3D template drawing.Create sites, profiles, and cross-sections.Create assemblies, corridors, and intersections.Create grading solutions.Create gravity fed and pressure pipe networks.Perform quantity takeoff and volume calculations.Use plan production tools to create plan and profile sheets. PrerequisitesAccess to the 2022.0 version of the software, to ensure compatibility with this guide. Future software updates that are released by Autodesk may include changes that are not reflected in this guide. The practices and files included with this guide might not be compatible with prior versions (e.g., 2021). Experience with AutoCAD(R) or AutoCAD-based products and a sound understanding and knowledge of civil engineering terminology.
Material Valuation and the Material Ledger in SAP S/4HANA
The methods used for inventory valuation have been transformed with SAP S/4HANA. The material ledger is now integrated with the Universal Journal and is the sole means for valuing materials. This book covers how valuation is managed in up to three different currencies, in parallel, without requiring the actual costing functionality. Learn how the material ledger interacts with the Universal Journal and how to configure the currencies used for parallel valuation. Investigate various valuation approaches and see how legal, group, and profit center valuation views can be used to help understand company profitability. Be guided through the configuration steps that enable these multiple valuation approaches. For those who are using or intending to use actual costing, learn how the actual cost is determined and the steps required to set this up to achieve maximum benefit. Find out how the actual costing run works and how alternative valuation runs can be used to provide additional information about inventory values. Review the optional business functions FIN_CO_COGM for parallel valuation of cost of goods manufactured, and LOG_MM_SIT for intercompany stock-in-transit and actual costing to see how they can be used for additional analysis of inventory. Investigate the different forms of balance sheet valuation and how they interact with the material ledger.Valuation in parallel currencies, with and without transfer pricingDefining currencies and using them with the material ledgerValuation using standard cost, moving average cost, and actual costBalance sheet valuation methods
AutoCAD 2022 3D-Konstruktionen
Hans-J. Engelke AutoDesk AutoCAD 2022 3D-Konstruktion 3D-CAD oder dreidimensionale computergest羹tzte Konstruktion ist eine Technologie f羹r Konstruktion und Entwicklung, bei der das manuelle Zeichnen durch einen automatisierten Prozess ersetzt wird. Dabei werden Objekte dreidimensional aufgebaut. Bei der 3D-Modellierung mit AutoCAD werden geometrische Objekte in dreidimensionaler Form aufgebaut und gespeichert. Dadurch erlauben diese einerseits eine realit瓣tsnahe Darstellung und bessere r瓣umliche Vorstellung des K繹rpers, andererseits lassen sich durch die dreidimensionalen Darstellungen wie Schnitt- und Ansichtsdarstellungen, technische Zeichnungen automatisieren. Anhand der 3D-Volumenmodelle kann sehr schnell die Draufsicht, Seitenansicht, Schnittdarstellung und Details generiert werden. Auch isometrische Ansichten sind einfach zu erstellen. Ein weiterer Vorteil hierdurch ist die automatische Aktualisierung der Ansichten im Falle einer ?nderung am Volumenmodell. Die Zeichnungen m羹ssen also nachtr瓣glich nicht von Hand ge瓣ndert werden. Die AutoCAD-Volumenmodelle k繹nnen in der Fertigung zur Programmierung verwendet werden. Mit den generierten CAD Daten k繹nnen CNC-Programme, 3D-Druck oder Virtual Reality gesteuert werden. Im ersten Kapitel wird die geschichtliche Entwicklung der Technik von mir beleuchtet, denn es war schon immer mein Ansatz, dass ohne das Wissen um die Geschichte, keine Entwicklung in die Zukunft geben kann, au?erdem nimmt dieser Einstieg die starre Struktur eines reinen Lernbuches. F羹r interessierte K瓣ufer dieses Buches biete ich die M繹glichkeit, eine DVD mit der farbigen PDF-Ausgabe dieses Buches, inklusive der Supportkapitel, allen erstellten Bauteildaten in 7 Kapiteln und den 5 Supportkapitel, gegen Vorlage der Kaufbest瓣tigung, beim Autor zu bestellen, hierzu sehen Sie bitte das Kapitel 8 an. Leserkreis: Absolventen an Meister-, Techniker- und Fachhochschulen. Im CAD-Umfeld f羹r Lehrer im beruflichen Einsatz, der Weiterbildung und Umschulung, Aus
AutoCAD 2022 2D-Konstruktionen
Hans-J. Engelke AutoDesk AutoCAD 2022 2D-Konstruktionen Eine technische Zeichnung ist ein Kommunikationsmittel, das zum eindeutigen Informationsaustausch in unterschiedlichen Anwendungsbereichen dient. Deshalb ist das Ableiten von 2D-Zeichnungen im Zeitalter der 3D-CAD-Technik immer noch ein wichtiger Schritt. Bei der Erstellung einer Zeichnung ist immer zu beachten, dass sp瓣ter s瓣mtliche Funktionen und Eigenschaften des 3D-Modells erkennbar und eindeutig sind. Dementsprechend kann die normgerechte Zeichnungserstellung eine zeitaufw瓣ndige und m羹hsame Arbeit sein. Dies gilt vor allem f羹r komplexe Geometrien oder Baugruppen. Dennoch ist die korrekte und gewissenhaft erstellte Zeichnung unerl瓣sslich, da in der Zeichnung nicht enthaltene Eigenschaften des Produktes unter Umst瓣nden nicht realisiert werden, bereits eine nicht korrekt eingetragene Passung oder eine fehlende Oberfl瓣chenangabe kann die gesamte Entwicklungsarbeit zunichtemachen, da die Maschine sp瓣ter gar nicht oder nur eingeschr瓣nkt funktioniert. Die Bedeutung der technischen Zeichnungen geht allerdings zur羹ck, mit der fortschreitenden Entwicklung der CAD-Systeme lassen sich immer mehr fertigungstechnische Angaben am 3D-Modell anbinden. Dieses Buch zu AutoCAD 2022 hat deshalb ein zweidimensionales Schwerpunktthema zu autodidaktischem Erlernen, es wendet sich an Einsteiger die ihre ersten Schritte mit AutoCAD 2022 gehen wollen oder m羹ssen. Programmschritte, Anpassungen und Befehlsfunktionen werden ausf羹hrlich Schritt f羹r Schritt dargestellt und mit erl瓣uternden Bildfolgen unterst羹tzt. Im Besonderen soll hier auf die Verwendung des Buches im Unterricht, in den Jahrgangsstufen 8 bis 10, zur Berufs- und Studienorientierung in diesen Jahrgangstufen hingewiesen werden. F羹r interessierte K瓣ufer dieses Buches biete ich die M繹glichkeit, eine DVD mit der farbigen PDF-Ausgabe dieses Buches, allen erstellten Bauteildaten in 8 Kapiteln und den Supportkapitel 9 bis 12, gegen Vorlage der Kaufbest瓣tigung, zu beim Autor zu
Software Architecture Patterns for Serverless Systems
A professional's guide to solving complex problems while designing modern softwareKey Features: Learn best practices for designing enterprise-grade software systemsUnderstand the importance of building reliable, maintainable, and scalable systemsBecome a professional software architect by learning the most effective software design patterns and architectural conceptsBook Description: As businesses are undergoing a digital transformation to keep up with competition, it is now more important than ever for IT professionals to design systems to keep up with the rate of change while maintaining stability.This book takes you through the architectural patterns that power enterprise-grade software systems and the key architectural elements that enable change such as events, autonomous services, and micro frontends, along with demonstrating how to implement and operate anti-fragile systems. You'll divide up a system and define boundaries so that teams can work autonomously and accelerate the pace of innovation. The book also covers low-level event and data patterns that support the entire architecture, while getting you up and running with the different autonomous service design patterns. As you progress, you'll focus on best practices for security, reliability, testability, observability, and performance. Finally, the book combines all that you've learned, explaining the methodologies of continuous experimentation, deployment, and delivery before providing you with some final thoughts on how to start making progress.By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change so that you can deliver value at the pace needed by your business.What You Will Learn: Explore architectural patterns to create anti-fragile systems that thrive with changeFocus on DevOps practices that empower self-sufficient, full-stack teamsBuild enterprise-scale serverless systemsApply microservices principles to the frontendDiscover how SOLID principles apply to software and database architectureCreate event stream processors that power the event sourcing and CQRS patternDeploy a multi-regional system, including regional health checks, latency-based routing, and replicationExplore the Strangler pattern for migrating legacy systemsWho this book is for: This book is for software architects and aspiring software architects who want to learn about different patterns and best practices to design better software. Intermediate-level experience in software development and design is required. Beginner-level knowledge of the cloud will also help you get the most out of this software design book.
