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Paper Abstract and Keywords
Presentation 2021-01-21 12:50
Work element estimation based on work sound in warehouse
Koki Nozaki, Toshimasa Aso, Hisayuki Kurokawa (Tokyo Univ. of Marine Science and Technology) ICM2020-35 LOIS2020-23
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes work element estimation based on work sound and its performance evaluation.The proposal method classifies packing work into walking, handling a vinyl package, handling paper cushioning material, cutting a cardboard box, and the other. Proposal method calculates the degree of similarity on basis of work sound for a few seconds gotten by a smart watch. Results show that the accuracy rate is approximately 83% and the average error rate is approximately 4%. Therefore, this proposal method is useful for work element estimation.
Keyword (in Japanese) (See Japanese page) 
(in English) warehouse work / work measurement / work sound / smart watch / smartphone / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 324, LOIS2020-23, pp. 5-9, Jan. 2021.
Paper # LOIS2020-23 
Date of Issue 2021-01-14 (ICM, LOIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ICM2020-35 LOIS2020-23

Conference Information
Committee ICM LOIS  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc. 
Paper Information
Registration To LOIS 
Conference Code 2021-01-ICM-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Work element estimation based on work sound in warehouse 
Sub Title (in English)  
Keyword(1) warehouse work  
Keyword(2) work measurement  
Keyword(3) work sound  
Keyword(4) smart watch  
Keyword(5) smartphone  
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1st Author's Name Koki Nozaki  
1st Author's Affiliation Tokyo University of Marine Science and Technology (Tokyo Univ. of Marine Science and Technology)
2nd Author's Name Toshimasa Aso  
2nd Author's Affiliation Tokyo University of Marine Science and Technology (Tokyo Univ. of Marine Science and Technology)
3rd Author's Name Hisayuki Kurokawa  
3rd Author's Affiliation Tokyo University of Marine Science and Technology (Tokyo Univ. of Marine Science and Technology)
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Speaker Author-1 
Date Time 2021-01-21 12:50:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # ICM2020-35, LOIS2020-23 
Volume (vol) vol.120 
Number (no) no.323(ICM), no.324(LOIS) 
Page pp.5-9 
#Pages
Date of Issue 2021-01-14 (ICM, LOIS) 


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