Title: | Data visualization and evaluation for industry 4.0 using an interactive k-means algorithm |
Authors: | Meiller, Dieter Niewiera, Florian |
Citation: | WSCG 2016: poster papers proceedings: 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 33-36. |
Issue Date: | 2016 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2016/!!_CSRN-2603.pdf http://hdl.handle.net/11025/29588 |
ISBN: | 978-80-86943-59-6 |
ISSN: | 2464-4617 |
Keywords: | průmysl 4.0;inteligence rojů;vizualizace rojů;interaktivní k-prostředky;optimalizace částicových rojů;velká data;vizualizace informací;vizuální analýza;strojové učení |
Keywords in different language: | industry 4.0;swarm intelligence;swarm visualization;interactive k-means;particle swarm optimization;big data;information visualization;visual analytics;machine learning |
Abstract: | The project ISAC@OTH-AW will focus on developing an innovative expert system for data visualization and optimization to produce better manufacturing processes. A mandatory part of the project is the appropriation of industry 4.0 technology benefits, like efficiency, quality and time to market rate, for SMEs (Small and Medium Enterprises). |
Rights: | © Václav Skala - Union Agency |
Appears in Collections: | WSCG 2016: Poster Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Meiller.pdf | Plný text | 558,5 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29588
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