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Your search keyword '"Pandarese, Giuseppe"' showing total 15 results
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15 results on '"Pandarese, Giuseppe"'

6. Integration of Non-Destructive Inspection (NDI) systems for Zero-Defect Manufacturing in the Industry 4.0 era

Author

Medici, Vittoria, primary, Martarelli, Milena, additional, Paone, Nicola, additional, Pandarese, Giuseppe, additional, van de Kamp, Wilhelm, additional, Verhoef, Bart, additional, Sipsas, Konstantinos, additional, Broechler, Raimund, additional, Besada, Lara Barja, additional, Alexopoulos, Kosmas, additional, and Nikolakis, Nikolaos, additional

Published
2023
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11. Optimization of the thermochromic glazing design for curtain wall buildings based on experimental measurements and dynamic simulation

Author

Arnesano Marco, Pandarese Giuseppe, Martarelli Milena, Naspi Federica, Gurunatha Karga L., Sol Christian, Ramirez Francisco V., Parkin Ivan P., Papakonstantinou Ioannis, and Revel Gian Marco

Subjects
Optimization, Energy simulation, Glazed facade, Curtain wall, Optical properties measurements, Thermochromic material
Abstract

Thermochromic (TC) glazing could provide a significant reduction of energy consumption in curtain wall buildings.

Published
2021

15. Stationary Wavelet Transform denoising in Pulsed Thermography: influence of camera resolution on defect detection

Author

Revel, Gian Marco, Chiariotti, Paolo, Copertaro, Edoardo, and Pandarese, Giuseppe

Subjects
Active Thermography, High-resolution Cameras, Wavelet Denoising, Aerospace & aeronautics engineering [C01] [Engineering, computing & technology], Ingénierie aérospatiale [C01] [Ingénierie, informatique & technologie]
Abstract

Denoising filters are widely used in image enhancement. However, they might induce severe blurring effects the lower is the resolution of the original image. When applied to a thermal image in Non-Destructive Testing (NDT), blurring could entail wrong estimation of defect boundaries and an overall reduction in defect detection performances. This contribution discusses the application of a wavelet-based denoising technique to a thermographic sequence obtained from a Pulsed Thermography testing, when using a high- resolution 1024x768 FPA infrared camera. Influence of denoising approach on data post- processed by Principal Component Analysis is discussed. Results indicate marked enhancement in defect detection, especially when compared to those obtained with a standard-resolution 320x240 FPA infrared camera.

Published
2015

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