Title:
DEVICE-INVARIANT, FREQUENCY-DOMAIN SIGNAL PROCESSING WITH MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2022/177357
Kind Code:
A1
Abstract:
Device-invariant, frequency-domain signal processing with machine learning includes retrieving with a host device a device-specific alien dataset corresponding to an alien device. The device-specific alien dataset is retrieved from a remote data storage device communicatively coupled with the host device. A plurality of frequency-domain features are extracted from the device-specific alien dataset and a machine learning model is trained using the plurality of frequency-domain features. The host device extracts frequency-domain features from signals generated by sensors operatively coupled with the host device. Real-time frequency bin adaptation of the frequency-domain features extracted by the host device is performed. Based on the frequency-domain features extracted by the host device, as adapted, an inference is performed using the machine learning model.
Inventors:
AHMED MOHSIN YUSUF (US)
ZHU LI (US)
VATANPARVAR KOROSH (US)
RAHMAN MD MAHBUBUR (US)
AHMED TOUSIF (US)
KUANG JILONG (US)
GAO JUN (US)
ZHU LI (US)
VATANPARVAR KOROSH (US)
RAHMAN MD MAHBUBUR (US)
AHMED TOUSIF (US)
KUANG JILONG (US)
GAO JUN (US)
Application Number:
PCT/KR2022/002438
Publication Date:
August 25, 2022
Filing Date:
February 18, 2022
Export Citation:
Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06N20/00
Foreign References:
| US20180217585A1 | 2018-08-02 | |||
| US20210000360A1 | 2021-01-07 | |||
| US20200174149A1 | 2020-06-04 | |||
| US20190365332A1 | 2019-12-05 |
Other References:
LI XUDONG, ZHENG JIANHUA, LI MINGTAO, MA WENZHEN, HU YANG: "Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis", SENSORS, vol. 21, no. 2, 1 January 2021 (2021-01-01), pages 1 - 26, XP055959317, DOI: 10.3390/s21020450
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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