Target Detectability Assessment through Ultrasonic Scattering Analysis of Diverse Target Structures
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报告开始:2026年07月31日 14:40(Asia/Kolkata)

报告时间:15min

所在会场:[S6] Artificial Intelligence Use Cases [S6-6] Artificial Intelligence Use Cases

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摘要
Accurate target detectability is a key requirement for ultrasonic sensing applications such as industrial inspection, structural health monitoring, underwater exploration and autonomous navigation. Material composition, geometry, surface features and ultrasonic scattering behavior play a significant role in target detectability. This paper presents a comprehensive framework for the target detectability assessment based on the ultrasonic scattering analysis of various target structures. The approach considered is an ultrasonic transmitter-receiver system to investigate the reflected and scattered echo signals from targets made of metal, plastic, wood and composite materials. Signal preprocessing techniques such as filtering, amplification and time-of-flight estimation are used to improve the quality of the echo, and then features are extracted to evaluate the scattering characteristics and target detectability. Experimental validation in a controlled laboratory environment was performed with multiple target structures at different distances. The proposed framework achieved a target detection accuracy of 98.2%, precision of 97.8%, recall of 97.5% and F1-score of 97.6%, and an average signal to noise ratio (SNR) enhancement of 14.8 dB. Moreover, the system achieved a detection probability of 98.6% with an average time-of-flight estimation error of less than 1.9%. The experimental results verify that the proposed ultrasonic scattering analysis can provide reliable target characterization, enhanced detectability and improved measurement accuracy, which makes it suitable for advanced ultrasonic sensing and non-destructive evaluation applications
关键词
Ultrasonic Scattering, Target Detectability, Time-of-Flight, Echo Signal Analysis, Signal Processing, Non-Destructive Testing, Ultrasonic Sensing, Target Characterization, Signal-to-Noise Ratio, Structural Inspection.
报告人
vijayalakshmi chintamaneni
Associate professor associate professor MALLA REDDY ENGINEERING COLLEGE FOR WOMEN HYDERABAD

Anjani Dasari
student MALLA REDDY ENGINEERING COLLEGE FOR WOMEN

Saritha Kommavarapu
student MALLA REDDY ENGINEERING COLLEGE FOR WOMEN

Swapna B
student Student at MALLA REDDY ENGINEERING COLLEGE FOR WOMEN

稿件作者
vijayalakshmi chintamaneni associate professor MALLA REDDY ENGINEERING COLLEGE FOR WOMEN HYDERABAD
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重要日期
  • 会议日期

    07月30日

    2026

    08月01日

    2026

  • 07月28日 2026

    初稿截稿日期

  • 08月03日 2026

    注册截止日期

主办单位
The United Societies of Science
承办单位
Kongunadu College of Engineering and Technology
协办单位
IEEE Section
IEEE Madras Section
历届会议
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