Computation harvesting from nature dynamics for predicting wind speed and direction.
Natural phenomena generate complex dynamics because of nonlinear interactions among their components. The dynamics can be exploited as a kind of computational resource. For example, in the framework of natural computation, various natural phenomena such as quantum mechanics and cellular dynamics are...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0295649 |
| _version_ | 1797322369914634240 |
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| author | Takumi Aita Hiroyasu Ando Yuichi Katori |
| author_facet | Takumi Aita Hiroyasu Ando Yuichi Katori |
| author_sort | Takumi Aita |
| collection | DOAJ |
| description | Natural phenomena generate complex dynamics because of nonlinear interactions among their components. The dynamics can be exploited as a kind of computational resource. For example, in the framework of natural computation, various natural phenomena such as quantum mechanics and cellular dynamics are used to realize general purpose calculations or logical operations. In recent years, simple collection of such nature dynamics has become possible in a sensor-rich society. For example, images of plant movement that have been captured indirectly by a surveillance camera can be regarded as sensor outputs reflecting the state of the wind striking the plant. Herein, based on ideas of physical reservoir computing, we present a methodology for wind speed and direction estimation from naturally occurring sensors in movies. Then we demonstrate its effectiveness through experimentation. Specifically using the proposed methodology, we investigate the computational capability of the nature dynamics, revealing its high robustness and generalization performance for computation. |
| first_indexed | 2024-03-08T05:12:18Z |
| format | Article |
| id | doaj.art-95a4ec77ae974bb995632b187995d98f |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-08T05:12:18Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-95a4ec77ae974bb995632b187995d98f2024-02-07T05:31:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-011812e029564910.1371/journal.pone.0295649Computation harvesting from nature dynamics for predicting wind speed and direction.Takumi AitaHiroyasu AndoYuichi KatoriNatural phenomena generate complex dynamics because of nonlinear interactions among their components. The dynamics can be exploited as a kind of computational resource. For example, in the framework of natural computation, various natural phenomena such as quantum mechanics and cellular dynamics are used to realize general purpose calculations or logical operations. In recent years, simple collection of such nature dynamics has become possible in a sensor-rich society. For example, images of plant movement that have been captured indirectly by a surveillance camera can be regarded as sensor outputs reflecting the state of the wind striking the plant. Herein, based on ideas of physical reservoir computing, we present a methodology for wind speed and direction estimation from naturally occurring sensors in movies. Then we demonstrate its effectiveness through experimentation. Specifically using the proposed methodology, we investigate the computational capability of the nature dynamics, revealing its high robustness and generalization performance for computation.https://doi.org/10.1371/journal.pone.0295649 |
| spellingShingle | Takumi Aita Hiroyasu Ando Yuichi Katori Computation harvesting from nature dynamics for predicting wind speed and direction. PLoS ONE |
| title | Computation harvesting from nature dynamics for predicting wind speed and direction. |
| title_full | Computation harvesting from nature dynamics for predicting wind speed and direction. |
| title_fullStr | Computation harvesting from nature dynamics for predicting wind speed and direction. |
| title_full_unstemmed | Computation harvesting from nature dynamics for predicting wind speed and direction. |
| title_short | Computation harvesting from nature dynamics for predicting wind speed and direction. |
| title_sort | computation harvesting from nature dynamics for predicting wind speed and direction |
| url | https://doi.org/10.1371/journal.pone.0295649 |
| work_keys_str_mv | AT takumiaita computationharvestingfromnaturedynamicsforpredictingwindspeedanddirection AT hiroyasuando computationharvestingfromnaturedynamicsforpredictingwindspeedanddirection AT yuichikatori computationharvestingfromnaturedynamicsforpredictingwindspeedanddirection |