MI 센서기반의 금속탐지를 위한 RNN 알고리즘 설계에 관한연구
A Study on the RNN Algorithm for Metal Detection Based on MI Sensor
- 한국산업기술융합학회(구. 산업기술교육훈련학회)
- 산업기술연구논문지
- 산업기술연구논문지 제26권 2호
- : KCI등재후보
- 2021.06
- 103 - 111 (9 pages)
This paper is a study of metal detection methods using multiple MI sensors using deep learning. The MI sensor is a sensor that measures the impedance change of an atypical wire by the electrical conduction and transmittance of a detector. Simple principles, small power consumption, and compact manufacturing are possible. This is a field-available sensor that requires limited weight and power, such as a mobile environment. However, sensors are generally weak in strength due to the nature of sensors that detect changes in magnetic fields. This paper compares and analyzes the detection performance with the depth of each network for location detection via RNN on 16-channel raw data extracted from sensors in a self-impedance manner.
Ⅰ. 서 론
Ⅱ. 관련연구
Ⅲ. 네트워크
Ⅳ. 실험결과
Ⅴ. 결 론