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Title:
制御装置
Document Type and Number:
Japanese Patent JP7451946
Kind Code:
B2
Abstract:
A controller includes: a noise reduction processing unit that acquires a sensor signal, which is based on an output from a sensor that detects time-series data and includes a noise, and that reduces the noise included in the sensor signal on the basis of a recurrent neural network trained so as to learn a correspondence relationship between a first signal including the noise corresponding to the sensor signal and a second signal indicating the first signal from which the noise has been removed; and a control processing unit that controls an actuator on the basis of an output from the noise reduction processing unit.

Inventors:
Akito Yamamoto
Application Number:
JP2019202587A
Publication Date:
March 19, 2024
Filing Date:
November 07, 2019
Export Citation:
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Assignee:
Aisin Co., Ltd.
International Classes:
G05B13/02; B60G17/018; G05B11/36
Domestic Patent References:
JP2019135120A
Foreign References:
WO2019087500A1
Other References:
Alireza Ghods, Diane J. Cook,Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model,2019 KDD workshop on Applied data science in Healthcare,米国,Cornell University,2019年07月12日,https://arxiv.org/pdf/1907.05597.pdf
Attorney, Agent or Firm:
Sakai International Patent Office