We address the problem of localizing point sources in 3D from boundary measurements of a wave field. Recently, we proposed the sensing principle which allows extracting volumetric samples of the unknown source distribution from the boundary measurements. The extracted samples allow a non-iterative reconstruction algorithm that can recover the parameters of the source distribution projected on a...

As standard ASTM E2611 reveals, the normal incidence sound transmission loss measured on a small sample in an acoustic tube is not only property of material but also strongly dependent boundary conditions (generally unknown) and way mounted. This article proposes experimental method to control effects lateral tube. The main objective deduce properties “client element” (material sample) from glo...

Experimental results show that voids inside additive manufactured (i.e. 3D printed) materials are unavoidable. As such samples often post-printing annealed, it is thus of interest to understand how affect boundary migration. In this work, phase field simulations recrystallization carried out for systems containing and typical inhomogeneous microstructures. The simulation the significantly shape...

In this paper we analyze two-dimensional wavelet reconstructions from Fourier samples within the framework of generalized sampling. For this, we consider both separable compactly-supported wavelets and boundary wavelets. We prove that the number of samples that must be acquired to ensure a stable and accurate reconstruction scales linearly with the number of reconstructing wavelet functions. We...

To visualize the grain boundary role on the shape memory property of Cu-Zn-A1 alloy, we have followed the austenitic structure evolution, of crystals submitted to a training treatment, by synchrotron X-ray topography in white beam. Single crystals, tricrystals and polycrystalline samples have been studied. The comparison of results shows that in polycrystalline samples large, non recoverable st...

In this paper we consider the problem of estimating the state, and identifying parameters of a diffusion process, when the only available information is the crossing times of a boundary. By using a partial differential equation approach related with the computation of boundary–crossing probabilities, we derive finite dimensional reconstructors (filters) for the state and Feynman Kac type functi...

We have studied quantization and confinement effects in nanostructured superconductors. Three different types of nanostructured samples were investigated: individual structures (line, loop, dot), 1-dimensional (1D) clusters of loops and 2D clusters of antidots, and finally large lattices of antidots. Hereby, a crossover from individual elementary ”plaquettes”, via clusters, to huge arrays of th...

The possible application of boosted neural network to particle classification in high energy physics is discussed. A two-dimensional toy model, where the boundary between signal and background is irregular but not overlapping, is constructed to show how boosting technique works with neural network. It is found that boosted neural network not only decreases the error rate of classification signi...

Phases having compositional fields narrower than about 1 at.% and appearing as lines in binary phase diagrams often are assumed to have properties independent of composition. That such an assumption can be seriously in error is illustrated by recent measurements on pairs of samples prepared to have compositions at opposing phase boundaries. Two microscopic properties, lattice locations of highl...

. Void swelling and radiation-induced segregation have been measured in 304 stainless steel. Samples were irradiated in the outer regions of the EBR-11reactor where displacement rates of 2.OX10-8and 6.6 xl 0-8dpds are comparable to those in pressurized water reactor components. Samples were inadiated at temperatures from 371-390°C to total doses of up to 20 dpa. Void swelling reached a maximum ...