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| Presentation | 2022-11-24 15:50 Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures Taiga Manabe, Katsumi Tateno (KIT), Osamu Nakamura (UT)  NLP2022-65 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Volatile organic compounds (VOCs) are useful substances in industry, but the effects of exposure to VOCs through inhalation on the human body are problematic. Because the toxicity of VOCs varies from substance to substance, it is necessary to measure the concentration of each VOC on site in real time in order to determine the inhalation risk to workers. Nakamura and Tateno proposed a quantitative analysis of mixed VOCs using a three-layer feedforward spiking neural network with two semiconductor sensors with different characteristics as inputs. However, that sensor system only considered specific sensor responses. Therefore, in this study, we examined the effect of different response characteristics of semiconductor sensor arrays on the quantitative analysis of the proposed SNN. As a result, we revealed the effect of different sensitivity characteristics of the sensors in the proposed SNN on the quantitative analysis of VOC concentrations. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spiking neural network / Volatile organic compounds / Sensor arrays / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 280, NLP2022-65, pp. 36-41, Nov. 2022. | |
| Paper # | NLP2022-65 | |
| Date of Issue | 2022-11-17 (NLP) | |
| 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 | NLP2022-65 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2022-11-24 - 2022-11-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2022-11-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation of the range in application of a neural network with spike timing in quantitative analysis of two gas mixtures |
| Sub Title (in English) | |
| Keyword(1) | Spiking neural network |
| Keyword(2) | Volatile organic compounds |
| Keyword(3) | Sensor arrays |
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| 1st Author's Name | Taiga Manabe |
| 1st Author's Affiliation | Kyushu Institute of Technology (KIT) |
| 2nd Author's Name | Katsumi Tateno |
| 2nd Author's Affiliation | Kyushu Institute of Technology (KIT) |
| 3rd Author's Name | Osamu Nakamura |
| 3rd Author's Affiliation | University of Tsukuba (UT) |
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| Speaker | Author-1 |
| Date Time | 2022-11-24 15:50:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2022-65 |
| Volume (vol) | vol.122 |
| Number (no) | no.280 |
| Page | pp.36-41 |
| #Pages | 6 |
| Date of Issue | 2022-11-17 (NLP) |
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