Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Perspectives on Industrial Optimization based on Big Data Technology and Soft Computing through Image Coding Linköping University Electronic Press Conference Proceedings
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Title:
Perspectives on Industrial Optimization based on Big Data Technology and Soft Computing through Image Coding
Author:
Yukinori Suzuki: Information and Electronic Engineering, Muroran Institute of Technology, Japan
DOI:
10.3384/ecp171421019
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
150
Pages:
1019-1025
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Industrial systems are being rapidly innovated due to recent information technology of IoT and fruitful results of arti?cial intelligence. We discuss roles of big data technologies and soft computing to optimize industrial systems and to design robust systems through image coding. We show a code book (CB) design for vector quantization (VQ) to discuss roles of soft computing and big data technology. The CBs were designed by conventional clustering algorithms. However, these conventional algorithms cannot provide CBs that encode and/or decode images with high image quality and low bits rate. We show a perspectives to overcome this problem to integrate big data technology and soft computing.

Keywords: industrial optimization, big data, soft computing, image coding

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Yukinori Suzuki
Title:
Perspectives on Industrial Optimization based on Big Data Technology and Soft Computing through Image Coding
DOI:
http://dx.doi.org/10.3384/ecp171421019
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Yukinori Suzuki
Title:
Perspectives on Industrial Optimization based on Big Data Technology and Soft Computing through Image Coding
DOI:
https://doi.org10.3384/ecp171421019
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Last updated: 2019-10-02