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Advances in Visualization and Optimization Techniques for Multidisciplinary Research

Trends in Modelling and Simulations for Engineering Applications

  • Dean Vucinic
  • Fabiana Rodrigues Leta
  • Sheeja Janardhanan

Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. D. Kumar, S. B. Alam, Dean Vučinić, C. Lacor
    Pages 63-93
  3. Marko Valčić, Jasna Prpić-Oršić, Dean Vučinić
    Pages 123-158
  4. Anna Suñol, Dean Vučinić
    Pages 159-198
  5. Ana Bilandžić, Zvonimir Kaprocki
    Pages 199-235
  6. Andrey Aksenov, Sergey Zhluktov, Wojciech Zietak, Ross Cotton, Dean Vučinić
    Pages 237-263
  7. Felipe de Oliveira Baldner, Pedro Bastos Costa, Juliana Freitas Santos Gomes, Fabiana Rodrigues Leta
    Pages 265-281

About this book

Introduction

This volume presents several multidisciplinary approaches to the visual representation of data acquired from experiments. As an expansion of these approaches, it is also possible to include data examination generated by mathematical-physical modeling. Imaging Systems encompass any subject related to digital images, from fundamental requirements for a correct image acquisition to computational algorithms that make it possible to obtain relevant information for image analysis.

In this context, the book presents selected contributions of a special session at the Conference on Advanced Computational Engineering and Experimenting (ACE-X) 2016. 

Keywords

visualization of phenomena imaging systems visual representation of data Geometry reconstruction Real-Time Visualization Digital Immage Correlation 3D Segmentation ACE-X 2016

Editors and affiliations

  • Dean Vucinic
    • 1
  • Fabiana Rodrigues Leta
    • 2
  • Sheeja Janardhanan
    • 3
  1. 1.Vesalius College (VeCo)Vrije Universiteit Brussel (VUB)BrusselsBelgium
  2. 2.Mechanical Engineering DepartmentUniversidade Federal FluminenseNiterói—Rio de JaneiroBrazil
  3. 3.Department of Mechanical EngineeringSCMS School of Engineering and TechnologyKarukutty, ErnakulamIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-9806-3
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-13-9805-6
  • Online ISBN 978-981-13-9806-3
  • Series Print ISSN 2195-4356
  • Series Online ISSN 2195-4364
  • Buy this book on publisher's site
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