다공질 압전 소자로 제작한 초음파 트랜스듀서의 물체복원

Object Recognition of Ultrasonic Transducer fabricated with Porous Piezoelectric Cewramics

  • 조현철 (경북전문대학 전자과) ;
  • 이수호 (영월공업전문대 전기과) ;
  • 박정학 (동아대학교 전기공학과) ;
  • 최헌일 (동아대학교 전기공학과) ;
  • 사공건 (동아대학교 전기공학과)
  • Cho, Hyun-Chul (Dept. of Electronic Eng., Kyung Pook Junior College) ;
  • Lee, Su-Ho (Dept. of Electrical Eng., Young Wol Technical Junior College) ;
  • Park, Jung-Hak (Dept. of Electrical Eng., Dong-A Univ.) ;
  • Choi, Heon-Il (Dept. of Electrical Eng., Dong-A Univ.) ;
  • SaGong, Geon (Dept. of Electrical Eng., Dong-A Univ.)
  • 발행 : 1996.07.22

초록

In this study, Object restoration of ultrasonic transducer fabricated with porous piezoelectric ceramics using Modified SCL(Simple Competitive Learning) neural networks are presented. Using the acquired object data $16{\times}16$ pixels, Modified SCL neural networks using the $16{\times}16$ low resolution image was used for object restoration of $32{\times}32$ high resolution image. The experimental results show that the ultrasonic transducer fabricated with porous piezoelectric ceramics could be applied for sonar system.

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