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Paper Abstract and Keywords
Presentation 2024-01-25 16:10
[Poster Presentation] A Study on Estimating Hamming Weight of CRC with Machine Learning
Taichi Emi, Han Nay Aung, Yasuhiro Yamasaki, Hiroyuki Ohsaki (Kwansei Gakuin Uni.) IA2023-66
Abstract (in Japanese) (See Japanese page) 
(in English) To enhance the reliability of distributed systems composed of multiple
nodes, ensuring reliable message communication between nodes is
crucial. Cyclic Redundancy Check (CRC) is widely employed as a
mechanism to detect message corruption transmitted between
nodes. Achieving a high-reliability system necessitates a precise
understanding of CRC's error detection capabilities. The error
detection capability of CRC is determined by the Hamming weight HW(L,
n), which represents the number of codewords with Hamming distance
n in messages of length L. However, accurately determining HW(L,
n) for large values of message length L and error bit number n is
challenging due to computational complexity. For instance,
experimental measurement of Hamming weight requires examining {}_L
C_n possibilities, and for certain values of message length L and
error bit number n, exhaustive examination becomes impractical. To
accurately comprehend CRC's error detection capability, it is
essential to estimate HW(L, n) for large values of message length
L and error bit number n. This paper, therefore, investigates the
possibility of estimating unknown HW(L, n) for message lengths L
and error bit numbers n using known HW(L, n) as training data.
Keyword (in Japanese) (See Japanese page) 
(in English) CRC / Machine learning / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 372, IA2023-66, pp. 46-46, Jan. 2024.
Paper # IA2023-66 
Date of Issue 2024-01-18 (IA) 
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 IA2023-66

Conference Information
Committee IA  
Conference Date 2024-01-25 - 2024-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Kwansei Gakuin Univiversity, Marunouchi Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sensor Network, IoT, M2M, etc., and IA2023 - Workshop on Internet Architecture and Applications 2023 
Paper Information
Registration To IA 
Conference Code 2024-01-IA 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Estimating Hamming Weight of CRC with Machine Learning 
Sub Title (in English)  
Keyword(1) CRC  
Keyword(2) Machine learning  
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1st Author's Name Taichi Emi  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Uni.)
2nd Author's Name Han Nay Aung  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Uni.)
3rd Author's Name Yasuhiro Yamasaki  
3rd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Uni.)
4th Author's Name Hiroyuki Ohsaki  
4th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Uni.)
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Speaker Author-1 
Date Time 2024-01-25 16:10:00 
Presentation Time 30 minutes 
Registration for IA 
Paper # IA2023-66 
Volume (vol) vol.123 
Number (no) no.372 
Page p.46 
#Pages 1 
Date of Issue 2024-01-18 (IA) 

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