1,691 research outputs found
Una acropoli moderna. Campus universitario a Las Palmas de Gran Canaria, 1988-1991
No full textSaggio sulla lettura del progetto della Università di Las Palmas de Gran Canaria, in numero curato da Raffaella Neri e Luca Monica. Elaborazione di un saggio presentato a convegno sull'architettura di G. Polesello organizzato da Raffaella Neri e Luca Monica
Il carteggio dei Procuratori delle mura della città di Firenze (1526-1527). Storia di un recupero archivistico
No full textRelaxed fault detection and isolation: An application to a nonlinear case study
No full textGiven a number of possibly concurrent faults (and disturbances) that may affect a nonlinear dynamic system, it may not be possible to solve the standard fault detection and isolation (FDI) problem, i.e., to detect and isolate each single fault from all other, possibly concurrent faults and disturbances, due to the violation of the available necessary conditions of geometric nature. Motivated by a robotic application where this negative situation structurally occurs, we propose some relaxed formulations of the FDI problem and show how necessary and sufficient conditions for their solution can be derived from those available for standard FDI. The design of a hybrid residual generator follows directly from the fulfillment of the corresponding solvability conditions. In the considered nonlinear case study, a robotic system affected by possible actuator and/or force sensor faults, we detail the application of these results and present experimental tests for validation. © 2005 Elsevier Ltd. All rights reserved
sj-xlsx-2-vet-10.1177_03009858231162209 – Supplemental material for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature
No full textSupplemental material, sj-xlsx-2-vet-10.1177_03009858231162209 for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature by Luca Licenziato, Lucia Minoli, Ugo Ala, Laura Marconato, Antonella Fanelli, Diana Giannuzzi, Raffaella De Maria, Selina Iussich, Giulia Orlando, Francesco Bertoni and Luca Aresu in Veterinary Pathology</p
sj-pdf-6-vet-10.1177_03009858231162209 – Supplemental material for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature
No full textSupplemental material, sj-pdf-6-vet-10.1177_03009858231162209 for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature by Luca Licenziato, Lucia Minoli, Ugo Ala, Laura Marconato, Antonella Fanelli, Diana Giannuzzi, Raffaella De Maria, Selina Iussich, Giulia Orlando, Francesco Bertoni and Luca Aresu in Veterinary Pathology</p
sj-xlsx-3-vet-10.1177_03009858231162209 – Supplemental material for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature
No full textSupplemental material, sj-xlsx-3-vet-10.1177_03009858231162209 for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature by Luca Licenziato, Lucia Minoli, Ugo Ala, Laura Marconato, Antonella Fanelli, Diana Giannuzzi, Raffaella De Maria, Selina Iussich, Giulia Orlando, Francesco Bertoni and Luca Aresu in Veterinary Pathology</p
sj-xlsx-1-vet-10.1177_03009858231162209 – Supplemental material for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature
No full textSupplemental material, sj-xlsx-1-vet-10.1177_03009858231162209 for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature by Luca Licenziato, Lucia Minoli, Ugo Ala, Laura Marconato, Antonella Fanelli, Diana Giannuzzi, Raffaella De Maria, Selina Iussich, Giulia Orlando, Francesco Bertoni and Luca Aresu in Veterinary Pathology</p
sj-xlsx-4-vet-10.1177_03009858231162209 – Supplemental material for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature
No full textSupplemental material, sj-xlsx-4-vet-10.1177_03009858231162209 for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature by Luca Licenziato, Lucia Minoli, Ugo Ala, Laura Marconato, Antonella Fanelli, Diana Giannuzzi, Raffaella De Maria, Selina Iussich, Giulia Orlando, Francesco Bertoni and Luca Aresu in Veterinary Pathology</p
sj-xlsx-5-vet-10.1177_03009858231162209 – Supplemental material for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature
No full textSupplemental material, sj-xlsx-5-vet-10.1177_03009858231162209 for Predicting outcome in dogs with diffuse large B-cell lymphoma with a novel immune landscape signature by Luca Licenziato, Lucia Minoli, Ugo Ala, Laura Marconato, Antonella Fanelli, Diana Giannuzzi, Raffaella De Maria, Selina Iussich, Giulia Orlando, Francesco Bertoni and Luca Aresu in Veterinary Pathology</p
A pilot study using flying spot laser thermography and signal reconstruction
No full textActive thermography (AT) has emerged as a critical non-destructive testing and evaluation (NDT&E) technique
for identifying subsurface defects in diverse industrial materials. Despite its widespread application, AT faces
challenges such as inadequate heat input, noisy thermal signals, and non-uniform heating, which can obscure de-
fect detection. This study introduces an enhanced approach leveraging flying spot laser thermography combined
with advanced signal processing techniques to address these challenges. A meticulously designed calibration
block, embedded with 180 spherical and rectangular notch defects of varying depths and dimensions, was fab-
ricated using 3D printing to serve as the experimental model. The laser-induced thermal data were acquired at
three distinct scanning speeds and underwent temporal alignment to synchronize heating events across all pixels.
Principal Component Analysis (PCA) and Independent Component Analysis (ICA) were subsequently applied to
the aligned datasets to extract and isolate defect-related thermal signatures. PCA effectively reduced data di-
mensionality and highlighted major thermal diffusion patterns associated with significant defects, particularly
notched anomalies. However, its sensitivity diminished for smaller or deeper defects. In contrast, ICA provided
a more refined separation of thermal signals, enhancing defect visualization and contrast, especially at slower
scanning speeds where higher heat input improved thermal differentiation. Notably, ICA demonstrated superior
performance in isolating notched defects compared to spherical ones due to pronounced thermal gradients. The
findings underscore the potential of combining flying spot thermography with PCA and ICA to enhance defect
detection and characterization in NDT&E applications. Future work will focus on optimizing scanning parame-
ters through simulation models and integrating machine learning algorithms to further improve the detection of
smaller and shallower defects, thereby advancing the precision and efficacy of thermal analysis technique
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