On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder

On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder

An on-line machine learning approach integrating the genetic algorithm (GA) and jitter measurements is proposed to learn the write strategy for the infrared diode of ultra-speed CD-RW recorders. The recording performance differs significantly for the CD-RW discs recorded for the first, second, or th...

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Bibliographic Details
Main Authors: Leehter Yao, June-Kai Huang
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
infrared diode
write strategy
phase change media
CD-RW recorder
jitters
genetic algorithm
dynamic parameter encoding
Online Access:http://www.mdpi.com/1424-8220/18/7/2070
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spelling doaj-1641e7c24cf34e0ea3e576f1fc6e25ab2020-11-25T00:57:19ZengMDPI AGSensors1424-82202018-06-01187207010.3390/s18072070s18072070On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical RecorderLeehter Yao0June-Kai Huang1Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, TaiwanTrend Rise Technology, Taichung 40842, TaiwanAn on-line machine learning approach integrating the genetic algorithm (GA) and jitter measurements is proposed to learn the write strategy for the infrared diode of ultra-speed CD-RW recorders. The recording performance differs significantly for the CD-RW discs recorded for the first, second, or third time above. It is difficult to learn one set of write strategy parameters for the infrared diode of ultra-speed CD-RW recorder that satisfies the recording specifications for three different types of discs. The GA is applied to the on-line learning of write strategy. However, the convergence of GA stagnates at the final stage of the learning process due to the fact that the write strategy parameters learned by the GA need to satisfy the recording specifications for discs recorded for the first time, second time and third time within one recording trial. To overcome this difficulty, a scheme called dynamic parameter encoding is proposed. This scheme improves the GA convergence and explores the search space much better than the conventional GA.http://www.mdpi.com/1424-8220/18/7/2070infrared diodewrite strategyphase change mediaCD-RW recorderjittersgenetic algorithmdynamic parameter encoding
collection DOAJ
language English
format Article
sources DOAJ
author Leehter Yao
June-Kai Huang
spellingShingle Leehter Yao
June-Kai Huang
On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder
Sensors
infrared diode
write strategy
phase change media
CD-RW recorder
jitters
genetic algorithm
dynamic parameter encoding
author_facet Leehter Yao
June-Kai Huang
author_sort Leehter Yao
title On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder
title_short On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder
title_full On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder
title_fullStr On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder
title_full_unstemmed On-Line Learning of Write Strategy for Ultra-Speed CD-RW Optical Recorder
title_sort on-line learning of write strategy for ultra-speed cd-rw optical recorder
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2018-06-01
description An on-line machine learning approach integrating the genetic algorithm (GA) and jitter measurements is proposed to learn the write strategy for the infrared diode of ultra-speed CD-RW recorders. The recording performance differs significantly for the CD-RW discs recorded for the first, second, or third time above. It is difficult to learn one set of write strategy parameters for the infrared diode of ultra-speed CD-RW recorder that satisfies the recording specifications for three different types of discs. The GA is applied to the on-line learning of write strategy. However, the convergence of GA stagnates at the final stage of the learning process due to the fact that the write strategy parameters learned by the GA need to satisfy the recording specifications for discs recorded for the first time, second time and third time within one recording trial. To overcome this difficulty, a scheme called dynamic parameter encoding is proposed. This scheme improves the GA convergence and explores the search space much better than the conventional GA.
topic infrared diode
write strategy
phase change media
CD-RW recorder
jitters
genetic algorithm
dynamic parameter encoding
url http://www.mdpi.com/1424-8220/18/7/2070
work_keys_str_mv AT leehteryao onlinelearningofwritestrategyforultraspeedcdrwopticalrecorder
AT junekaihuang onlinelearningofwritestrategyforultraspeedcdrwopticalrecorder
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