Abstract: A system for estimating both thickness and wear state of refractory material of a metallurgical furnace, including at least one processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material of the furnace using known state and thickness data correlated with the best fitting simulated spectrum.

Abstract: Disclosed is a method for identifying multiple skulls and different subjects, using (i) a 3D model of each skull and (ii) one or more clear photos of the face of each candidate subject, wherein the method comprises the steps of: detecting craniometric points on the 3D skull models; estimating the thickness and direction of the soft facial tissue; detecting cephalometric landmarks in the face photos; and filtering on the basis of morphometric consistencies between the skull and the face, craniofacial superimposition in multiple photos, and decision making.

Abstract: A system for estimating both thickness and wear state of refractory material (1) of a metallurgical furnace (12), including at least on processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material (1) of the furnace (12) using known state and thickness data correlated with the best fitting simulated