Invention Grant
- Patent Title: Ultra-high sensitive target signal detection method based on noise analysis using deep learning based anomaly detection and system using the same
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Application No.: US17120914Application Date: 2020-12-14
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Publication No.: US12210977B2Publication Date: 2025-01-28
- Inventor: Hee-Tae Jung , Jihan Kim , Youhan Lee , Soo-Yeon Cho , Hohyung Kang
- Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Applicant Address: KR Daejeon
- Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: KR Daejeon
- Agency: HULTQUIST, PLLC
- Agent Steven J. Hultquist
- Priority: KR10-2019-0167641 20191216
- Main IPC: G06N3/045
- IPC: G06N3/045 ; G06N3/088

Abstract:
Disclosed are an ultra-high sensitivity target signal detection method based on analysis of a noise signal of a sensor using deep learning based anomaly detection and a system using the same. More particularly, disclosed are a method and apparatus for receiving a noise signal from a sensor and inputting data to an artificial neural network trained with a normal noise signal to determine whether or not a target signal is present. The target signal detection method is capable of detecting a target signal having a very low concentration that can be detected by a conventional sensor, whereby the target signal detection method is useful in developing an ultra-high sensitivity sensor.
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