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"Mechanical drawing Data processing."
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SketchUp for dummies
\"A clear-cut guide for using SketchUp that will have you ready for anything from redesigning your house to planning your next invention.\" --Back cover.
Computational fluid-structure interaction
by
Bazilevs, Yuri
,
Tezduyar, Tayfun E
,
Takizawa, Kenji
in
Data processing
,
Drafting & Mechanical Drawing
,
Fluid-structure interaction
2013,2012
\"Computational Fluid-Structure Interaction is a complete, self-contained reference that takes the reader from the fundamentals of computational fluid and solid mechanics all the way to the state-of-the-art in CFSI research\"--
Mastering Autodesk Revit MEP 2016
by
Whitbread, Simon, 1962- author
in
Autodesk Revit.
,
Architectural drawing Computer-aided design.
,
Buildings Mechanical equipment Design and construction Data processing.
2015
The ultimate reference and tutorial to harness the power of Revit MEP, this Autodesk Official Press book will help you develop your expertise with Revit MEP's core concepts and functionality.
New trends on digitisation of complex engineering drawings
by
Elyan, Eyad
,
Moreno-García, Carlos Francisco
,
Jayne, Chrisina
in
Algorithms
,
Artificial Intelligence
,
Artificial neural networks
2019
Engineering drawings are commonly used across different industries such as oil and gas, mechanical engineering and others. Digitising these drawings is becoming increasingly important. This is mainly due to the legacy of drawings and documents that may provide rich source of information for industries. Analysing these drawings often requires applying a set of digital image processing methods to detect and classify symbols and other components. Despite the recent significant advances in image processing, and in particular in deep neural networks, automatic analysis and processing of these engineering drawings is still far from being complete. This paper presents a general framework for complex engineering drawing digitisation. A thorough and critical review of relevant literature, methods and algorithms in machine learning and machine vision is presented. Real-life industrial scenario on how to contextualise the digitised information from specific type of these drawings, namely piping and instrumentation diagrams, is discussed in details. A discussion of how new trends on machine vision such as deep learning could be applied to this domain is presented with conclusions and suggestions for future research directions.
Journal Article
Advances in computational dynamics of particles, materials and structures
2012
Computational methods for the modeling and simulation of the dynamic response and behavior of particles, materials and structural systems have had a profound influence on science, engineering and technology.
Fine-Scale Eddies Detected by SWOT in the Kuroshio Extension
2024
Conventional altimetry has greatly advanced our understanding of mesoscale eddies but falls short in studying fine-scale eddies (<150 km). The newly launched Surface Water and Ocean Topography (SWOT) altimeter, however, with its unprecedented high-resolution capabilities, offers new opportunities to observe these fine-scale eddies. In this study, we use SWOT data to explore these previously elusive fine-scale eddies in the Kuroshio Extension. During SWOT’s fast sampling phase from 29 May 2023 to 10 July 2023, we identified an average of 4.5 fine-scale eddies within each 120 km wide swath. Cyclonic eddies, which are slightly more frequent than the anticyclonic ones (ratio of 1.16), have a similar mean radius of 23.4 km. However, cyclonic eddies exhibit higher amplitudes, averaging 3.5 cm compared to 2.8 cm for anticyclonic eddies. In contrast to the mesoscale eddies detected by conventional altimeters, the fine-scale eddies revealed by SWOT are characterized by smaller sizes and weaker amplitudes. This study offers a preliminary view of fine-scale eddy characteristics from space, highlighting SWOT’s potential to advance our understanding of these dynamic processes. Nonetheless, it also emphasizes the necessity for comprehensive analysis to fully exploit the satellite’s capabilities in monitoring and interpreting complex eddy behaviors.
Journal Article
AutoCAD® 2021 Beginning and Intermediate
2020
This book is the most comprehensive book you will find on AutoCAD 2021 - 2D Drafting. Covering all of the 2D concepts, it uses both metric and imperial units to illustrate the myriad drawing and editing tools for this popular application. Use the companion disc to set up drawing exercises and projects and see all of the book's figures in color. This book includes over 100 exercises or \"mini-workshops,\" that complete small projects from concept through actual plotting. Solving all of the workshops will simulate the creation of three projects (architectural and mechanical) from beginning to end, without overlooking any of the basic commands and functions in AutoCAD 2021.
Mastering Autodesk® Revit® MEP 2011
2010
Master all the core concepts and functionality of Revit MEPRevit MEP has finally come into its own, and this perfectly paced reference covers all the core concepts and functionality of this fast-growing mechanical, electrical, and plumbing software. The authors collate all their years of experience to develop this exhaustive tutorial that shows you how to design using a versatile model.You'll discover tips, tricks, and real-world exercises that only authors who use the software daily in a professional environment can know and explain.Explores the basics of the interface, how to create and use project templates, how to generate schedules that show quantities, materials, design dependencies, and moreExamines the mechanical side of Revit MEP, including chapters on creating logical air, water, and fire protection systems and evaluating building loadsDelves into how to best generate and model content, including solid modeling, creating symbols, using parameters, creating equipment, and moreFeaturing real-world sidebars, hands-on tutorials, and a supporting Web site, this reference allows you to jump into any tutorial and compare your finished work to the pros.