3-D underwater object restoration using ultrasonic transducer fabricated with PZT-polymer 3-3 type composite and neural network

Author

Cho, Hyun-Chul ; Park, Jung-Hak ; Lee, Su-Ho ; Sa-Gong, Geon

Author_Institution

Kyungpook Jnr. Coll., Yoongju, South Korea

Volume

2

fYear

1997

fDate

25 -30 May 1997

Firstpage

1087

Abstract

In this study, the characteristics of a transducer fabricated with porous PZT-polymer composites with 3-3 connectivity are investigated and 3D underwater object restoration using the self-made ultrasonic transducer and modified SCL (Simple Competitive Learning) neural network is presented. The self-made transducer satisfied requirements of ultrasonic transducers in water, and a modified SCL neural network using the acquired object data 16×16 low-resolution image was used for underwater object restoration of 32×32 high-resolution image. The experimental results have shown that the ultrasonic transducer fabricated with porous PZT-polymer composites with 3-3 connectivity could be applied in a sonar system

Keywords

filled polymers; lead compounds; learning (artificial intelligence); neural nets; object detection; particle reinforced composites; piezoceramics; piezoelectric transducers; sonar; ultrasonic transducers; 3D underwater object restoration; PZT; PZT-polymer 3-3 type composite; PbZrO3TiO3; acquired object data; neural network; self-made ultrasonic transducer; simple competitive learning; sonar system; Acoustic measurements; Ceramics; Charge coupled devices; Educational institutions; Image resolution; Image restoration; Impedance; Neural networks; Sonar; Ultrasonic transducers;

fLanguage

English

Publisher

ieee

Conference_Titel

Properties and Applications of Dielectric Materials, 1997., Proceedings of the 5th International Conference on

Conference_Location

Seoul

Print_ISBN

0-7803-2651-2

Type

conf

DOI

10.1109/ICPADM.1997.616636

Filename

616636