| Presentation | 2021-03-05 A Study on Anomalous Signal Detection Using Convolutional Neural Network for ELF Band Electromagnetic Wave Hideo Kohatsu, Akitoshi Itai, Ichi Takumi, Hiroshi Yasukawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The electromagnetic (EM) wave radiated from the earth's crust is known as an important information to understand the precursor phenomena of great earth quakes. We record the EM wave in extremely low frequency (ELF) band. However, the recorded data includes various noises from the thunder radiation in near field and tropics, artificial radiation. The detection of anomalous signal related to the precursor of earthquake is important task. The neural network based approach is proposed to detect anomalous signal from ELF EM wave. However, the EM wave which includes missing values is not used to train the conventional neural network. In this paper, we propose the anomalous signal detection using CNN and waveform of electromagnetic wave. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ELF band Electromagnetic Wave / Anomalous Signal Detection / CNN / Image |
| Paper # | SIS2020-51 |
| Date of Issue | 2021-02-25 (SIS) |
| Conference Information | |
| Committee | SIS |
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| Conference Date | 2021/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Soft Computing, etc. |
| Chair | Noriaki Suetake(Yamaguchi Univ.) |
| Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) |
| Secretary | Tomoaki Kimura(Kindai Univ.) / Naoto Sasaoka(National Inst. of Tech., Ube College) |
| Assistant | Yukihiro Bandoh(NTT) / Soh Yoshida(Kansai Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Anomalous Signal Detection Using Convolutional Neural Network for ELF Band Electromagnetic Wave |
| Sub Title (in English) | |
| Keyword(1) | ELF band Electromagnetic Wave |
| Keyword(2) | Anomalous Signal Detection |
| Keyword(3) | CNN |
| Keyword(4) | Image |
| 1st Author's Name | Hideo Kohatsu |
| 1st Author's Affiliation | Chubu University(Chubu Univ.) |
| 2nd Author's Name | Akitoshi Itai |
| 2nd Author's Affiliation | Chubu University(Chubu Univ.) |
| 3rd Author's Name | Ichi Takumi |
| 3rd Author's Affiliation | Nagoya Institute of Technology(Nagoya Institute of Tech.) |
| 4th Author's Name | Hiroshi Yasukawa |
| 4th Author's Affiliation | Aichi Prefectural University(Aichi Prefectural Univ.) |
| Date | 2021-03-05 |
| Paper # | SIS2020-51 |
| Volume (vol) | vol.120 |
| Number (no) | SIS-415 |
| Page | pp.pp.88-93(SIS), |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (SIS) |