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ISIGHT Brochure
ISIGHT AUTOMATE DESIGN EXPLORATION AND OPTIMIZATION ISIGHT INDUSTRY CHALLENGES In today’s computer-aided product development and manufacturing environment, designers and engineers are using a wide range of KEY BENEFITS software tools to design and simulate their products. Often, the • Reduce time and costs parameters and results from one software package are required as • Improve product reliability inputs to another package, and the manual process of entering the required data can reduce efficiency, slow product development, and • Gain competitive advantage introduce errors in modeling and simulation assumptions. SIMULIA’s Isight Solution Isight provides designers, engineers, and researchers with an open system for integrating design and simulation models—created with various CAD, CAE, and other software applications—to automate the execution of hundreds or thousands of simulations. Isight allows users to save time and improve their products by optimizing them against performance or cost metrics through statistical methods, such as Design of Experiments (DOE) or Design for Six Sigma. Isight combines cross-disciplinary models and applications together in a simulation process flow, automates their execution, explores the resulting design space, and identifies the optimal design Isight parameters based on required constraints. Isight’s ability to manipulate and map parametric data between process steps and automate multiple simulations greatly improves efficiency, reduces manual errors, and accelerates the evaluation of product design alternatives. Open Component Framework Isight provides a standard library of components— including Excel™, Word™, CATIA V5™, Dymola™, MATLAB®, COM, Text I/O applications, Java and Python Scripting, and databases—for integrating and running a model or simulation. These components form the building blocks of simulation process flows. -
Achieving Safe DICOM Software in Medical Devices
Master Thesis in Software Engineering & Management REPORT NO. 2009:003 ISSN: 1651-4769 Achieving Safe DICOM Software in Medical Devices Kevin Debruyn IT University of Göteborg Chalmers University of Technology and University of Gothenburg Göteborg, Sweden 2009 Student Kevin Debruyn (820717-2795) Contact Information Phone: +46 73 7418420 / Email: [email protected] Course Supervisor Karin Wagner Course Coordinator Kari Wahll Start and End Date 21 st of February 2008 to 30 th of March 2009 Size 30 Credits Subject Achieving Safe DICOM Software in Medical Devices Overview The present document constitutes the project report that introduces, develops and presents the results of the thesis carried out by a master student of the IT University in Göteborg, Software Engineering & Management during Spring 2008 through Spring 2009 at Micropos Medical AB . Summary This paper reports on an investigation on how to produce a reliable software component to extract critical information from DICOM files. The component shall manipulate safety-critical medical information, i.e. patient demographics and data specific to radiotherapy treatments including radiation target volumes and doses intensity. Handling such sensitive data can potentially lead to medical errors, and threaten the health of patients. Hence, guaranteeing reliability and safety is an essential part of the development process. Solutions for developing the component from scratch or reusing all or parts of existing systems and libraries will be evaluated and compared. The resulting component will be tested to verify that it satisfies its reliability requirements. Subsequently, the component is to be integrated within an innovating radiotherapy positioning system developed by a Swedish start-up, Micropos . -
Gou, Zaiyong, Ph.D
Order Number 9411950 Scientific visualization and exploratory data analysis of a large spatial flow dataset Gou, Zaiyong, Ph.D. The Ohio State University, 1993 U M I 300 N. Zeeb Rd. Ann Arbor, MI 48106 SCIENTIFIC VISUALIZATION AND EXPLORATORY DATA ANALYSIS OF A LARGE SPATIAL FLOW DATASET DISSERTATION Presented in Partial Fulfillment of the Requirement for the Degree of Doctor of Philosophy in the Graduate School of The Ohio Stale University By Zaiyong Gou, B.S., M.A. $ * + $ * The Ohio State University 1993 Dissertation Committee: Approved by Duane F. Marble Morton E. O’Kelly 7 Duane F. Marble Randy W. Jackson Department of Geography DEDICATION To My Parents ACKNOWLEDGEMENT Of my thirteen years of being a geographer, the last four years under the supervision of Prof. Duane F. Marble at The Ohio State University has been the most exciting and most memorable. His wisdom and profound academic insight showed me what geography as an extraordinarily difficult discipline should be and could be. He is always the person who stands very high and sees very far, exploring the most challenging frontiers of geography relentlessly. As my academic adviser, his unfailing encouragement, guidance, patience and professional courtesy have always been my inspiration to work more creatively and more enthusiastically. He leads us to a high intellectual plateau and offers us the unlimited freedom to face the challenges and to pursue academic excellence. I am always grateful for the paths and opportunities you have pointed out to me. My gratitude also goes to Prof. Edward J. Taaffe, Prof. Morton E. O’Kelly and Prof. -
Dassault Systèmes Annual Report 2018 1 General
NOUSWE 2018 SOMMESARE Financial report THERELÀ CONTENTS General 2 Person Responsible 3 15Presentation of the Group 5 Corporate governance 167 1.1 Profile of Dassault Systèmes 6 5.1 The Board’s Corporate Governance Report 168 1.2 Financial Summary: A Long History 5.2 Internal Control Procedures and Risk Management 203 of Sustainable Growth 7 5.3 Transactions in Dassault Systèmes shares 1.3 History 9 by the Management of the Company 207 1.4 Group Organization 14 5.4 Statutory Auditors 210 1.5 Business Activities 15 5.5 Declarations regarding the administrative Bodies 1.6 Research and development 29 and Senior Management 210 1.7 Risk factors 31 Information about Social, societal and environmental 6 Dassault Systèmes SE, the share capital 2 responsibility 39 and the ownership structure 211 6.1 Information about Dassault Systèmes SE 212 2.1 Social responsibility 41 6.2 Information about the Share Capital 216 2.2 Societal responsibility 48 6.3 Information about the Shareholders 219 2.3 Environmental Responsibility 53 6.4 Stock Market Information 224 2.4 Business Ethics and Vigilance Plan 58 2.5 Reporting methodology 61 2.6 Independent Verifier’s Report on Consolidated Non- General Meeting 225 financial Statement Presented in the Management 7 Report 64 7.1 Presentation of the resolutions proposed by the 2.7 Statutory Auditors’ Attestation on the information Board of Directors to the General Meeting on relating to the Dassault Systèmes SE’s total amount May 23, 2019 226 paid for sponsorship 67 7.2 Text of the draft resolutions proposed by the -
Simulia Community News
SIMULIA COMMUNITY NEWS #08 October 2014 THE POWER OF THE PORTFOLIO COVER STORY SIMULATION HELPS UPGRADE LONDON TUNNELS in this Issue October 2014 3 Welcome Letter Scott Berkey, Chief Executive Officer, SIMULIA 4 Portfolio Update Latest SIMULIA Portfolio Releases Deliver Powerful, Advanced Simulation Functionality to Users 8 Strategy Overview DR. SAUER How to Stay at the Top of Your Game in the Fast-Evolving 10 World of Simulation 10 Cover Story Dr. Sauer and Partners Helps Upgrade London Underground Station 13 News SIMPACK Joins the Dassault Systèmes Family 14 Case Study Stadler Rail Simulates Train Safety with FEA 17 Alliances Topology and Shape Optimization Using the Tosca-Ansa Environment 18 Case Study Fine-tuning the Anatomy of Car-Seat Comfort STADLER 20 Academic Update 14 Oil & Gas Subsurface Innovation with Multiphysics Simulations 22 Tips & Tricks Optimization Module Within Abaqus/CAE Contributors: Dr. Alois Starlinger (Stadler Rail), Dr. Alexander Siefert (Wölfel Group), Jeremy Brown and Randi Jean Walters (Stanford University), Parker Group On the Cover: Ali Nasekhian, Dr. techn., M.Sc. Senior Tunnel Engineer, Dr. Sauer and Partners Cover photo by Roger Brown Photography WÖLFEL 18 SIMULIA Community News is published by Dassault Systèmes Simulia Corp., Rising Sun Mills, 166 Valley Street, Providence, RI 02909-2499, Tel. +1 401 276 4400, Fax. +1 401 276 4408, [email protected], www.3ds.com/simulia Editor: Tad Clarke Associate Editor: Kristina Hines Graphic Designer: Todd Sabelli ©2014 Dassault Systèmes. All rights reserved. 3DEXPERIENCE, the Compass icon and the 3DS logo, CATIA, SOLIDWORKS, ENOVIA, DELMIA, SIMULIA, GEOVIA, EXALEAD, 3D VIA, BIOVIA, NETVIBES, and 3DXCITE are commercial trademarks or registered trademarks of Dassault Systèmes or its subsidiaries in the U.S. -
Experimentální Porovnání Knihoven Na Detekci Emocí Pomocí Webkamery
MASARYKOVA UNIVERZITA FAKULTA INFORMATIKY Û¡¢£¤¥¦§¨ª«¬Æ°±²³´µ·¸¹º»¼½¾¿Ý Experimentální porovnání knihoven na detekci emocí pomocí webkamery DIPLOMOVÁ PRÁCE Bc. Milan Záleský Brno, podzim 2015 Prohlášení Prohlašuji, že tato diplomová práce je mým p ˚uvodnímautorským dílem, které jsem vypracoval samostatnˇe.Všechny zdroje, prameny a literaturu, které jsem pˇrivypracování používal nebo z nich ˇcerpal,v práci ˇrádnˇecituji s uvedením úplného odkazu na pˇríslušnýzdroj. Bc. Milan Záleský Vedoucí práce: RNDr. Zdenek Eichler i Klíˇcováslova OpenCV, facial expression analysis, webcam, experiment, emotion, detekce emocí, experimentální porovnání ii Podˇekování DˇekujiRNDr. Zdenku Eichlerovi, vedoucímu mé práce, za výteˇcnémento- rování, ochotu pomoci i optimistický pˇrístup, který v pr ˚ubˇehumého psaní projevil. Dˇekujisvým pˇrátel˚uma rodinˇeza opakované vyjádˇrenípodpory. V neposlední ˇradˇetaké dˇekujivšem úˇcastník˚umexperimentu, bez jejichž pˇrispˇeníbych porovnání nemohl uskuteˇcnit. iii Obsah 1 Úvod ...................................1 2 Rozpoznávání emocí ..........................2 2.1 Co je to emoce? . .2 2.2 Posouzení emocí . .3 2.3 Využití informaˇcníchtechnologií k rozpoznávání emocí . .3 2.3.1 Facial Action Coding System . .5 2.3.2 Computer vision . .6 2.3.3 OpenCV . 11 2.3.4 FaceTales . 13 3 Metoda výbˇeruknihoven pro rozpoznávání emocí ........ 15 3.1 Kritéria užšího výbˇeru . 15 3.2 Instalace knihoven . 17 3.3 Charakteristika knihoven zvolených pro srovnání . 20 3.3.1 CLMtrackr . 20 3.3.2 EmotionRecognition . 22 3.3.3 InSight SDK . 24 3.3.4 Vzájemné porovnání aplikací urˇcenýchpro experiment 25 4 Návrh experimentu ........................... 27 4.1 Pˇrípravaexperimentálního porovnání knihoven . 28 4.2 Promˇennéexperimentu . 29 4.2.1 Nezávislé promˇenné. 29 4.2.2 Závislé promˇenné . 29 4.2.3 Sledované promˇenné . 30 4.2.4 Vnˇejšípromˇenné . -
Makerbot in the Classroom
COMPILED BY MAKERBOT EDUCATION Copyright © 2015 by MakerBot® www.makerbot.com All rights reserved. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the publisher, except in the case of brief quotations embodied in critical reviews and certain other noncommercial uses permitted by copyright law. The information in this document concerning non-MakerBot products or services was obtained from the suppliers of those products or services or from their published announcements. Specific questions on the capabilities of non-MakerBot products and services should be addressed to the suppliers of those products and services. ISBN: 978-1-4951-6175-9 Printed in the United States of America First Edition 10 9 8 7 6 5 4 3 2 1 Compiled by MakerBot Education MakerBot Publishing • Brooklyn, NY TABLE OF CONTENTS 06 INTRODUCTION TO 3D PRINTING IN THE CLASSROOM 08 LESSON 1: INTRODUCTION TO 3D PRINTING 11 MakerBot Stories: Education 12 MakerBot Stories: Medical 13 MakerBot Stories: Business 14 MakerBot Stories: Post-Processing 15 MakerBot Stories: Design 16 LESSON 2: USING A 3D PRINTER 24 LESSON 3: PREPARING FILES FOR PRINTING 35 THREE WAYS TO MAKE 36 WAYS TO DOWNLOAD 40 WAYS TO SCAN 46 WAYS TO DESIGN 51 PROJECTS AND DESIGN SOFTWARE 52 PROJECT: PRIMITIVE MODELING WITH TINKERCAD 53 Make Your Own Country 55 Explore: Modeling with Tinkercad 59 Investigate: Geography and Climates 60 Create: -
Developing Downhole Oil and Gas Drilling Products Faster with Simuliaworks
DEVELOPING DOWNHOLE OIL AND GAS DRILLING PRODUCTS FASTER WITH SIMULIAWORKS By adding SIMULIAworks to its SOLIDWORKS product development implementation, InFocus Energy Services has acquired the simulation power and efficiency that it needs to consistently develop innovative, effective downhole products for the oil and gas industry more quickly and affordably. Challenge: launching a new 3DEXPERIENCE® simulation solution that Leverage high-end, nonlinear structural incorporated the SIMULIA® Abaqus solver, we signed up for simulation technology to reduce reliance on the Lighthouse Program so we could start using the new costly, time-consuming physical testing and SIMULIAworks immediately. As soon as we got our hands on develop innovative downhole drilling products it, we started testing it and benchmarking it against known test results.” more quickly and cost-effectively. SIMULATING TRICKY, COMPLEX CONTACT ACCURATELY Solution: Add SIMULIAworks to its SOLIDWORKS InFocus first utilized SIMULIAworks on the bearing section implementation to conduct nonlinear structural of the company’s RE|FLEX Premium HP/HT Drilling Motor. The motor’s bearing section is a proprietary design that was and complex contact analyses in the cloud developed to convert extreme loading parameters, including to advance and accelerate new product torque of over 30,000 foot-pounds, into efficient drilling action. development. The company’s initial concept design of the drive system, which utilized traditional ball bearings, resulted in failure during Results: testing when the load crushed the bearings and the faces that • Saved tens of thousands of dollars in testing costs load the bearings. SIMULIAworks predicted the failure—with • Cut months of time and extra labor from accurate correlation to actual test results—and helped the development process company develop a better, more innovative design. -
Simulation Lifecycle Management Manage & Secure Simulation Intellectual Property 3DS.COM/SIMULIA SIMULIA SLM
Simulation Lifecycle Management Manage & Secure Simulation Intellectual Property 3DS.COM/SIMULIA SIMULIA SLM Industry Challenges In the manufacturing industry, design analysis technology and related methods are being used to create innovative and reliable products while reducing time and costs. However, even those companies gaining significant benefits from simulation will admit that they often fail to capture their simulation processes or Capture best practices manage the results in a manner that allows effective knowledge reuse or decision-making traceability. Reuse intellectual property SIMULIA Solutions Improve process quality SIMULIA Simulation Lifecycle Management (SLM) solutions simplify the capture and deployment of approved simulation methods and best practices, providing guidance and improved confidence in the use of simulation results for collaborative decision making. Users can improve product quality with fully traceable simulation history and associated data. SLM also accelerates product development by providing timely access to the right information through secure storage, search and retrieval with distinct functionality dedicated specifically to simulation scenarios and data. rt po up P S ro n c io e s s i s c e M D a n a g e m Collaboration e n t D a ta M an agement Improve your simulation data and process quality The SIMULIA SLM solution portfolio, includes Scenario Definition, Live Simulation Review, Isight, and the SIMULIA Execution Engine. Scenario Definition enables methods developers to create workflow-specific simulation templates incorporating their company’s best practices while using the simulation tools of their choosing. These templates can then be deployed to a wide range of users ensuring adherence to standard practices in order to improve repeatability, reliability and confidence in simulations. -
Dust3d Documentation Release 1.0.0-Rc.1
dust3d Documentation Release 1.0.0-rc.1 Jeremyi HU Aug 10, 2021 Contents: 1 Getting Started 1 1.1 Download and Install Dust3D......................................1 1.2 Dust3D Interface Overview.......................................2 1.3 Menu Bar.................................................3 1.4 Parts Tree Panel.............................................7 1.5 Script Panel................................................ 10 1.6 Dust3D Shortcuts & Hotkey Guide................................... 11 1.7 Dust3D Script Reference......................................... 12 2 Dust3D Modeling Examples 23 2.1 Modeling Ant using Dust3D....................................... 23 2.2 Make a 3D model from scratch using Dust3D.............................. 26 2.3 Modeling Camel using Dust3D..................................... 26 2.4 Modeling Horse using Dust3D...................................... 27 3 For Developers 29 3.1 Building Dust3D............................................. 29 3.2 Write a 3D modeling software from scratch............................... 32 4 Indices and tables 41 i ii CHAPTER 1 Getting Started 1.1 Download and Install Dust3D • For Windows (64 Bit): https://github.com/huxingyi/dust3d/releases/download/1.0.0-rc.6/dust3d-1.0.0-rc.6.zip No need to install, unzip and run the exe. • For Windows (32 Bit): https://github.com/huxingyi/dust3d/releases/download/1.0.0-rc.6/dust3d-1.0.0-rc.6-x86.zip No need to install, unzip and run the exe. • For Mac OS X: https://github.com/huxingyi/dust3d/releases/download/1.0.0-rc.6/dust3d-1.0.0-rc.6.dmg If “The following disk images couldn’t be opened” popped up, that means the downloaded file was broken, please retry. If “can’t be opened because its integrity cannot be verified” popped up, please follow ni_kush’s answer in this reddit post. -
3D Computer Graphics Compiled By: H
animation Charge-coupled device Charts on SO(3) chemistry chirality chromatic aberration chrominance Cinema 4D cinematography CinePaint Circle circumference ClanLib Class of the Titans clean room design Clifford algebra Clip Mapping Clipping (computer graphics) Clipping_(computer_graphics) Cocoa (API) CODE V collinear collision detection color color buffer comic book Comm. ACM Command & Conquer: Tiberian series Commutative operation Compact disc Comparison of Direct3D and OpenGL compiler Compiz complement (set theory) complex analysis complex number complex polygon Component Object Model composite pattern compositing Compression artifacts computationReverse computational Catmull-Clark fluid dynamics computational geometry subdivision Computational_geometry computed surface axial tomography Cel-shaded Computed tomography computer animation Computer Aided Design computerCg andprogramming video games Computer animation computer cluster computer display computer file computer game computer games computer generated image computer graphics Computer hardware Computer History Museum Computer keyboard Computer mouse computer program Computer programming computer science computer software computer storage Computer-aided design Computer-aided design#Capabilities computer-aided manufacturing computer-generated imagery concave cone (solid)language Cone tracing Conjugacy_class#Conjugacy_as_group_action Clipmap COLLADA consortium constraints Comparison Constructive solid geometry of continuous Direct3D function contrast ratioand conversion OpenGL between -
2020 Universal Registration Document
2020 2018/2019/2020 Universal Registration Document CONTENTS General 2 Person Responsible 3 1 Presentation of the Company 5 4 Financial statements 105 2020 Performance and Strategy 6 4.1 Consolidated Financial Statements 106 1.1 Key data 8 4.2 Parent company financial statements 153 1.2 Profile of Dassault Systèmes & Our Purpose 10 4.3 Legal and Arbitration Proceedings 184 1.3 History and Development of the Company 13 1.4 Business Activities 18 Corporate governance 185 1.5 Research and development 31 5 1.6 Company Organization 34 5.1 The Board’s Corporate Governance Report 186 1.7 Financial Summary: five-year historical information 36 5.2 Internal Control Procedures and Risk Management 229 1.8 Extra-financial performance 38 5.3 Transactions in Dassault Systèmes shares by the 1.9 Risk Factors 39 Management of Dassault Systèmes 233 5.4 Information on the Statutory Auditors 237 5.5 Declarations regarding the administrative Social, societal and environmental and management bodies 237 2 responsibility 47 2.1 Sustainability Governance 49 Information about 2.2 Social, societal and environmental risks 49 6 Dassault Systèmes SE, the share capital 2.3 Social responsibility 50 and the ownership structure 239 2.4 Societal responsibility 56 6.1 Information about Dassault Systèmes SE 240 2.5 Environmental responsibility 61 6.2 Information about the Share Capital 244 2.6 Business Ethics and Vigilance Plan 67 6.3 Information about the Shareholders 247 2.7 Environmental, Social and Governance metrics 74 6.4 Stock Market Information 253 2.8 Reporting Methodology