This thesis is part of the activities of the Digital Instrumentation Department (DIN) in Non-Destructive Testing (NDT), and aims to design a new, fast and advanced 3D ultrasound imaging method using matrix arrays. The aim will be to produce three-dimensional ultrasound images of the internal volume of a structure that may contain defects (e.g. cracks),...

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The rise of machine learning models for processing sensor data has led to the development of Edge-AI, which aims to perform these data processing tasks locally, directly at the sensor level. This approach reduces the amount of data transmitted and eases the load on centralized computing centers, providing a solution to decrease the overall energy...

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In the context of industrial digitalization and real-time monitoring, accessing 3D fields (velocity, viscosity, turbulence, concentration, etc.) in real time can be crucial, as local sensor networks are sometimes insufficient to provide a comprehensive view of the systemapos;s dynamics. This PhD project aims to investigate a methodology for the real-time reconstruction of fields within an...

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This thesis focuses on the transmission of power and data through metal walls using acoustic waves. Ultimately, this technology will be used to power, read and control systems located in areas enclosed in metal, such as pressure vessels, ship hulls and submarines. Because electromagnetic waves are absorbed by metal, acoustic waves are needed to communicate...

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This PhD project lies within the field of Non-Destructive Testing (NDT), which encompasses a range of techniques used to detect defects in structures (cables, materials, components) without causing any damage. Diagnostics rely on physical measurements (e.g., reflectometry, ultrasound), whose interpretation requires solving inverse problems, which are often ill-posed. Classical approaches based on iterative algorithms are...

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