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Paper Abstract and Keywords
Presentation 2019-09-05 12:50
[Poster Presentation] A Study of QoE Estimation method by Machine Learning
Hiroto Kurosawa, Takuya Shindo, Takefumi Hiraguri (NIT)
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, machine learning such as deep learning has attracted attention. Various applications have been proposed and studied in the wireless communication field. Therefore, in the objective communication quality estimation, we consider a method that uses evaluation parameters specific to wireless communication such as propagation error, interference, transmission, throughput, packet loss, etc. for machine learning. In this paper, we focus especially on weight adjustment of neural networks. Conventionally, error back-propagation method etc. are used to adjust this weight, but the performance when using stochastic optimization method is confirmed. Success-History based Adaptive DE (SHADE) was used as the optimization method. The purpose is to control the QoE index so that it always obtains a high value by using the QoE objective evaluation index of video distribution as the evaluation index.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep Learning / Differential Evolution / QoE / Machine Learning / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee CQ  
Conference Date 2019-09-04 - 2019-09-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Inter-University Seminar House 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 3rd Communication Quality Student Workshop 
Paper Information
Registration To CQ 
Conference Code 2019-09-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of QoE Estimation method by Machine Learning 
Sub Title (in English)  
Keyword(1) Deep Learning  
Keyword(2) Differential Evolution  
Keyword(3) QoE  
Keyword(4) Machine Learning  
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1st Author's Name Hiroto Kurosawa  
1st Author's Affiliation Nippon Institute of Technology (NIT)
2nd Author's Name Takuya Shindo  
2nd Author's Affiliation Nippon Institute of Technology (NIT)
3rd Author's Name Takefumi Hiraguri  
3rd Author's Affiliation Nippon Institute of Technology (NIT)
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Speaker
Date Time 2019-09-05 12:50:00 
Presentation Time 60 
Registration for CQ 
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