Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Underwater Object Recognition Independent of Translation using Ultrasonic Sensor Fabricated with 3-3 type Piezoelectric Composites

3-3형 복합압전체 초음파센서의 수중 물체 변위에 무관한 물체인식 특성

  • 조현철 (경북전문대학 전자과) ;
  • 이기성 (홍익대학교 전자전기공학부)
  • Published : 2001.07.18
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Abstract

In this study, The underwater object recognition using ultrasonic sensor fabricated with porous PZT-Polymer 3-3 type composites and invariant moment vector and SOFM(Self Organizing Feature Map) neural networks are presented. The recognition rates for the training data and the testing data were 98% and 94%, respectively.

Keywords