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Paper Abstract and Keywords
Presentation 2019-01-23 11:00
Performance Evaluation of Chaotic Random Numbers Using Integer Logistic Map by NIST Test
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Kantaro Fujiwara (UT), Tohru Ikeguchi (TUS) NLP2018-100
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we generated pseudorandom numbers using chaotic dynamics and investigated its performance as pseudorandom numbers with post-processing by the XOR operation. Then we analyzed whether the quality of the pseudorandom numbers post-processed by the XOR operation is improved or not. In this study, the pseudorandom number generator is an integer logistic map which reduces numerical errors. First, we converted time series data obtained from the integer logistic map to binary random numbers by setting a threshold value. When we generate chaotic random numbers, we varied the numerical precision. Then, using the NIST test, we evaluated the quality of pseudorandom numbers which is post-processed by the XOR operation. As the results, if numerical precision is high enough, the quality of the pseudorandom numbers did not change by the XOR operation. On the other hand, if numerical precision is insufficient, we found that the quality of the pseudorandom numbers declined by the XOR operation.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaotic random number / Integer logistic map / Numerical precision / XOR operation / NIST SP 800-22 / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 413, NLP2018-100, pp. 23-28, Jan. 2019.
Paper # NLP2018-100 
Date of Issue 2019-01-16 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee NLP NC  
Conference Date 2019-01-23 - 2019-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) The Centennial Hall, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General Implementation of Neuro Computing, Analysis and Modeling of Human Science, etc. 
Paper Information
Registration To NLP 
Conference Code 2019-01-NLP-NC 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of Chaotic Random Numbers Using Integer Logistic Map by NIST Test 
Sub Title (in English)  
Keyword(1) Chaotic random number  
Keyword(2) Integer logistic map  
Keyword(3) Numerical precision  
Keyword(4) XOR operation  
Keyword(5) NIST SP 800-22  
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1st Author's Name Shiki Kanamaru  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Yutaka Shimada  
2nd Author's Affiliation Saitama University (Saitama Univ.)
3rd Author's Name Kantaro Fujiwara  
3rd Author's Affiliation International Research Center for Neurointelligence, The University of Tokyo (UT)
4th Author's Name Tohru Ikeguchi  
4th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2019-01-23 11:00:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2018-100 
Volume (vol) vol.118 
Number (no) no.413 
Page pp.23-28 
#Pages
Date of Issue 2019-01-16 (NLP) 


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