Author: ASCENT - Center for Technical Knowledge
Publisher:
ISBN: 9781956032369
Category :
Languages : en
Pages :
Book Description
Autodesk Inventor 2022: Working with 3D Annotations & Model-Based Definition (Mixed Units)
Author: ASCENT - Center for Technical Knowledge
Publisher:
ISBN: 9781956032369
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781956032369
Category :
Languages : en
Pages :
Book Description
Autodesk Inventor 2019: Working with 3D Annotations and Model-Based Definition (Mixed Units)
Author: ASCENT - Center for Technical Knowledge
Publisher: ASCENT - Center for Technical Knowledge
ISBN:
Category : Design
Languages : en
Pages : 160
Book Description
Autodesk® Inventor® 2019: Working with 3D Annotations & Model-Based Definition teaches experienced Autodesk Inventor users how to create 3D annotations to support the visual presentation of annotations in 3D PDF format and a Model-based Definition (MBD) workflow. The geometry designed in a 3D CAD modeling environment is created perfectly. During the manufacturing stage, it is not possible to achieve the same perfection. Variations in size, feature location, and orientation are unavoidable. This learning guide instructs how to use the tools in Autodesk Inventor 2018 to create 3D annotations that communicate dimensional and GD&T data, hold/thread notes, surface texture requirements, and informational text-based annotations; all of which aim to improve manufacturing accuracy. Additionally, this learning guide explains how you can share your 3D annotated models as 3D PDFs, as STEP files for use by other software applications, or in 2D drawing views. Topics Covered: Creating dimensional annotations.Creating hole/thread note annotations.Creating surface texture annotations.Creating text-based annotations to a model to communicate additional modeling information.Creating tolerance features to a model.Using the Tolerance Advisor to review informational messages and warnings on the tolerance features in a model.Creating a general profile note annotation. Prerequisites:Access to the 2019 version of the software. The practices and files included with this guide might not be compatible with prior versions.Knowledge of GD&T required. The international GD&T standard, ASME Y14.5M-2009, governs how annotations should be added to clearly describe the model’s intent. This learning guide assumes that you know how the model is to be annotated and aims to only explain how they are added using the Autodesk Inventor software.Students should have completed the Autodesk® Inventor® 2019: Introduction to Solid Modeling learning guide or have an equivalent understanding of the Autodesk Inventor user interface and working environments.
Publisher: ASCENT - Center for Technical Knowledge
ISBN:
Category : Design
Languages : en
Pages : 160
Book Description
Autodesk® Inventor® 2019: Working with 3D Annotations & Model-Based Definition teaches experienced Autodesk Inventor users how to create 3D annotations to support the visual presentation of annotations in 3D PDF format and a Model-based Definition (MBD) workflow. The geometry designed in a 3D CAD modeling environment is created perfectly. During the manufacturing stage, it is not possible to achieve the same perfection. Variations in size, feature location, and orientation are unavoidable. This learning guide instructs how to use the tools in Autodesk Inventor 2018 to create 3D annotations that communicate dimensional and GD&T data, hold/thread notes, surface texture requirements, and informational text-based annotations; all of which aim to improve manufacturing accuracy. Additionally, this learning guide explains how you can share your 3D annotated models as 3D PDFs, as STEP files for use by other software applications, or in 2D drawing views. Topics Covered: Creating dimensional annotations.Creating hole/thread note annotations.Creating surface texture annotations.Creating text-based annotations to a model to communicate additional modeling information.Creating tolerance features to a model.Using the Tolerance Advisor to review informational messages and warnings on the tolerance features in a model.Creating a general profile note annotation. Prerequisites:Access to the 2019 version of the software. The practices and files included with this guide might not be compatible with prior versions.Knowledge of GD&T required. The international GD&T standard, ASME Y14.5M-2009, governs how annotations should be added to clearly describe the model’s intent. This learning guide assumes that you know how the model is to be annotated and aims to only explain how they are added using the Autodesk Inventor software.Students should have completed the Autodesk® Inventor® 2019: Introduction to Solid Modeling learning guide or have an equivalent understanding of the Autodesk Inventor user interface and working environments.
Autodesk Inventor 2024 Working with 3D Annotations & Model-Based Definition (Mixed Units)
Author: ASCENT - Center for Technical Knowledge
Publisher:
ISBN: 9781959504719
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9781959504719
Category :
Languages : en
Pages : 0
Book Description
Autodesk Inventor 2023: Working with 3D Annotations and Model-Based Definition (Mixed Units)
Author: ASCENT - Center for Technical Knowledge
Publisher:
ISBN: 9781959504191
Category :
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9781959504191
Category :
Languages : en
Pages : 0
Book Description
Strengthening Forensic Science in the United States
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309142393
Category : Law
Languages : en
Pages : 348
Book Description
Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.
Publisher: National Academies Press
ISBN: 0309142393
Category : Law
Languages : en
Pages : 348
Book Description
Scores of talented and dedicated people serve the forensic science community, performing vitally important work. However, they are often constrained by lack of adequate resources, sound policies, and national support. It is clear that change and advancements, both systematic and scientific, are needed in a number of forensic science disciplines to ensure the reliability of work, establish enforceable standards, and promote best practices with consistent application. Strengthening Forensic Science in the United States: A Path Forward provides a detailed plan for addressing these needs and suggests the creation of a new government entity, the National Institute of Forensic Science, to establish and enforce standards within the forensic science community. The benefits of improving and regulating the forensic science disciplines are clear: assisting law enforcement officials, enhancing homeland security, and reducing the risk of wrongful conviction and exoneration. Strengthening Forensic Science in the United States gives a full account of what is needed to advance the forensic science disciplines, including upgrading of systems and organizational structures, better training, widespread adoption of uniform and enforceable best practices, and mandatory certification and accreditation programs. While this book provides an essential call-to-action for congress and policy makers, it also serves as a vital tool for law enforcement agencies, criminal prosecutors and attorneys, and forensic science educators.
AutoCAD For Dummies
Author: Bill Fane
Publisher: John Wiley & Sons
ISBN: 1119580080
Category : Computers
Languages : en
Pages : 546
Book Description
Simple steps for creating AutoCAD drawings AutoCAD is the ubiquitous tool used by engineers, architects, designers, and urban planners to put their ideas on paper. It takes some AutoCAD know-how to go from a brilliant idea to a drawing that properly explains how brilliant your idea is. AutoCAD For Dummies helps you de-mystify the handy software and put the tools in AutoCAD to use. Written by an experienced AutoCAD engineer and mechanical design instructor, it assumes no previous computer-aided drafting experience as it walks you through the basics of starting projects and drawing straight lines all the way up through 3D modeling. Conquer the first steps in creating an AutoCAD project Tackle drawing basics including straight lines and curves Add advanced skills including 3D drawing and modeling Set up a project and move into 3D It's true that AutoCAD is tough, but with the friendly instruction in this hands-on guide, you'll find everything you need to start creating marvelous models—without losing your cool.
Publisher: John Wiley & Sons
ISBN: 1119580080
Category : Computers
Languages : en
Pages : 546
Book Description
Simple steps for creating AutoCAD drawings AutoCAD is the ubiquitous tool used by engineers, architects, designers, and urban planners to put their ideas on paper. It takes some AutoCAD know-how to go from a brilliant idea to a drawing that properly explains how brilliant your idea is. AutoCAD For Dummies helps you de-mystify the handy software and put the tools in AutoCAD to use. Written by an experienced AutoCAD engineer and mechanical design instructor, it assumes no previous computer-aided drafting experience as it walks you through the basics of starting projects and drawing straight lines all the way up through 3D modeling. Conquer the first steps in creating an AutoCAD project Tackle drawing basics including straight lines and curves Add advanced skills including 3D drawing and modeling Set up a project and move into 3D It's true that AutoCAD is tough, but with the friendly instruction in this hands-on guide, you'll find everything you need to start creating marvelous models—without losing your cool.
Introduction to Information Retrieval
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Mastering Autodesk Inventor 2014 and Autodesk Inventor LT 2014
Author: Curtis Waguespack
Publisher: John Wiley & Sons
ISBN: 1118758285
Category : Computers
Languages : en
Pages : 1032
Book Description
An Autodesk Official Press guide to the powerful mechanical design software Autodesk Inventor has been used to design everything from cars and airplanes to appliances and furniture. This comprehensive guide to Inventor and Inventor LT features real-world workflows and work environments, and is packed with practical tutorials that focus on teaching Inventor tips, tricks, and techniques. Additionally, you can download datasets to jump in and practice on any exercise. This reference and tutorial explains key interface conventions, capabilities, tools, and techniques, including design concepts and application, parts design, assemblies and subassemblies, weldment design, and the use of Design Accelerators and Design Calculators. There's also detailed coverage of design tactics for large assemblies, effective model design for various industries, strategies for effective data and asset sharing, using 2D and 3D data from other CAD systems, and improving designs by incorporating engineering principles. Uses real-world sample projects so you can quickly grasp the interface, tools, and processes Features detailed documentation on everything from project set up to simple animations and documentation for exploded views, sheet metal flat patterns, plastic part design, and more Covers crucial productivity-boosting tools, iLogic, data exchange, the Frame Generator, Inventor Studio visualization tools, dynamic simulation and stress analysis features, and routed systems features Downloadable datasets let you jump into the step-by-step tutorials anywhere Mastering Autodesk Inventor and Autodesk Inventor LT is the essential, comprehensive training guide for this powerful software.
Publisher: John Wiley & Sons
ISBN: 1118758285
Category : Computers
Languages : en
Pages : 1032
Book Description
An Autodesk Official Press guide to the powerful mechanical design software Autodesk Inventor has been used to design everything from cars and airplanes to appliances and furniture. This comprehensive guide to Inventor and Inventor LT features real-world workflows and work environments, and is packed with practical tutorials that focus on teaching Inventor tips, tricks, and techniques. Additionally, you can download datasets to jump in and practice on any exercise. This reference and tutorial explains key interface conventions, capabilities, tools, and techniques, including design concepts and application, parts design, assemblies and subassemblies, weldment design, and the use of Design Accelerators and Design Calculators. There's also detailed coverage of design tactics for large assemblies, effective model design for various industries, strategies for effective data and asset sharing, using 2D and 3D data from other CAD systems, and improving designs by incorporating engineering principles. Uses real-world sample projects so you can quickly grasp the interface, tools, and processes Features detailed documentation on everything from project set up to simple animations and documentation for exploded views, sheet metal flat patterns, plastic part design, and more Covers crucial productivity-boosting tools, iLogic, data exchange, the Frame Generator, Inventor Studio visualization tools, dynamic simulation and stress analysis features, and routed systems features Downloadable datasets let you jump into the step-by-step tutorials anywhere Mastering Autodesk Inventor and Autodesk Inventor LT is the essential, comprehensive training guide for this powerful software.
Deep Learning with Python
Author: Francois Chollet
Publisher: Simon and Schuster
ISBN: 1638352046
Category : Computers
Languages : en
Pages : 597
Book Description
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
Publisher: Simon and Schuster
ISBN: 1638352046
Category : Computers
Languages : en
Pages : 597
Book Description
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
Introduction to AutoCAD 2020
Author: Paul F. Richard
Publisher: Macromedia Press
ISBN: 0135576873
Category : Computers
Languages : en
Pages : 1823
Book Description
Introduction to AutoCAD 2020 addresses advances in technology and introduces students to 2-dimensional drawing skills and commands using the 2020 release of AutoCAD. Straightforward explanations focus on actual drawing procedures, and illustrations show what to expect on the computer screen. It continuously builds on concepts covered in previous chapters, contains exercises combined with in-text notes, and offers examples that provide the “how and why” of AutoCAD fundamentals. Projects are included at the end of each chapter and provide hands-on experience creating various types of mechanical, architectural, civil, and electrical drawings. This text is appropriate for introductory and intermediate AutoCAD courses. Introduces AutoCAD, drafting skills, editing techniques, working with complex objects, annotating drawings, outputting your work, advanced drawing and construction methods, and collaborating with others on the web. Pedagogy reinforces learning objectives throughout, with chapter objectives; key term definitions; command grids that concisely offer multiple ways of achieving task at hand; and discipline icons that identify the field of study throughout. “New” version icons highlight new software features quickly. Hands-on exercises appear throughout the text to reinforce learning, and end-of-chapter projects require students to demonstrate a full understanding of the concepts presented in the chapter. Introduction to AutoCAD 2020 provides students with the tools they need to develop drafting skills with AutoCAD.
Publisher: Macromedia Press
ISBN: 0135576873
Category : Computers
Languages : en
Pages : 1823
Book Description
Introduction to AutoCAD 2020 addresses advances in technology and introduces students to 2-dimensional drawing skills and commands using the 2020 release of AutoCAD. Straightforward explanations focus on actual drawing procedures, and illustrations show what to expect on the computer screen. It continuously builds on concepts covered in previous chapters, contains exercises combined with in-text notes, and offers examples that provide the “how and why” of AutoCAD fundamentals. Projects are included at the end of each chapter and provide hands-on experience creating various types of mechanical, architectural, civil, and electrical drawings. This text is appropriate for introductory and intermediate AutoCAD courses. Introduces AutoCAD, drafting skills, editing techniques, working with complex objects, annotating drawings, outputting your work, advanced drawing and construction methods, and collaborating with others on the web. Pedagogy reinforces learning objectives throughout, with chapter objectives; key term definitions; command grids that concisely offer multiple ways of achieving task at hand; and discipline icons that identify the field of study throughout. “New” version icons highlight new software features quickly. Hands-on exercises appear throughout the text to reinforce learning, and end-of-chapter projects require students to demonstrate a full understanding of the concepts presented in the chapter. Introduction to AutoCAD 2020 provides students with the tools they need to develop drafting skills with AutoCAD.