公开(公告)号：US12210977B2

公开(公告)日：2025-01-28

申请号：US17120914

申请日：2020-12-14

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hee-Tae Jung ,  Jihan Kim ,  Youhan Lee ,  Soo-Yeon Cho ,  Hohyung Kang

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.

公开(公告)号：US20210216877A1

公开(公告)日：2021-07-15

申请号：US17120914

申请日：2020-12-14

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Hee-Tae Jung ,  Jihan Kim ,  Youhan Lee ,  Soo-Yeon Cho ,  Hohyung Kang

IPC: G06N3/08 ,  G06N3/04

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.