| Presentation | 2011-03-04 Performance of Anomalous Signal Detection with HMM Approach in Electromagnetic Wave Observation Using Moving Window Yoshinao ITO, Akitoshi ITAI, Hiroshi YASUKAWA, Ichi TAKUMI, Masayasu HATA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is known that the detection of an anomalous signal radiated from the earth's crust is useful for predicting the precursor of the earthquakes. We observed the electromagnetic (EM) wave using the Extremely Low Frequency band. Various methods for detection of an anomalous signal have been proposed. Those methods have some problems. We proposed the anomalous signal detection based on HMM using the amplitude density distribution of an EM wave, which does not contain an anomalous signal. The input signals are calculated from the observed EM wave. An amplitude density distribution calculated from the image of an EM wave is employed as the input of HMM. In this paper, we evaluate the accuracy of an anomalous signal detection by using a temporal change of log likelihood calculated from EM wave data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | electromagnetic wave / Hidden Markov Model / extremely low frequency band / amplitude density distribution / log likelihood / signal detection |
| Paper # | SIS2010-67 |
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| Conference Information | |
| Committee | SIS |
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| Conference Date | 2011/2/24(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance of Anomalous Signal Detection with HMM Approach in Electromagnetic Wave Observation Using Moving Window |
| Sub Title (in English) | |
| Keyword(1) | electromagnetic wave |
| Keyword(2) | Hidden Markov Model |
| Keyword(3) | extremely low frequency band |
| Keyword(4) | amplitude density distribution |
| Keyword(5) | log likelihood |
| Keyword(6) | signal detection |
| 1st Author's Name | Yoshinao ITO |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, Aichi Prefectural University() |
| 2nd Author's Name | Akitoshi ITAI |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, Aichi Prefectural University |
| 3rd Author's Name | Hiroshi YASUKAWA |
| 3rd Author's Affiliation | Graduate School of Information Science and Technology, Aichi Prefectural University |
| 4th Author's Name | Ichi TAKUMI |
| 4th Author's Affiliation | Nagoya Institute of Technology |
| 5th Author's Name | Masayasu HATA |
| 5th Author's Affiliation | Collage of Engineering, Chubu University |
| Date | 2011-03-04 |
| Paper # | SIS2010-67 |
| Volume (vol) | vol.110 |
| Number (no) | 445 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |