Abstract: A method, computer program and associated apparatuses for metrology. The method includes determining a reconstruction recipe describing at least nominal values for use in a reconstruction of a parameterization describing a target. The method includes obtaining first measurement data relating to measurements of a plurality of targets on at least one substrate, the measurement data relating to one or more acquisition settings and performing an optimization by minimizing a cost function which minimizes differences between the first measurement data and simulated measurement data based on a reconstructed parameterization for each of the plurality of targets. A constraint on the cost function is imposed based on a hierarchical prior. Also disclosed is a hybrid model method comprising obtaining a coarse model operable to provide simulated coarse data; and training a data driven model to correct the simulated coarse data so as to determine simulated data for use in reconstruction.

Abstract: A method, computer program and associated apparatuses for metrology. The method includes determining a reconstruction recipe describing at least nominal values for use in a reconstruction of a parameterization describing a target. The method includes obtaining first measurement data relating to measurements of a plurality of targets on at least one substrate, the measurement data relating to one or more acquisition settings and performing an optimization by minimizing a cost function which minimizes differences between the first measurement data and simulated measurement data based on a reconstructed parameterization for each of the plurality of targets. A constraint on the cost function is imposed based on a hierarchical prior. Also disclosed is a hybrid model method comprising obtaining a coarse model operable to provide simulated coarse data; and training a data driven model to correct the simulated coarse data so as to determine simulated data for use in reconstruction.

Abstract: A method, computer program and associated apparatuses for metrology. The method includes determining a reconstruction recipe describing at least nominal values for use in a reconstruction of a parameterization describing a target. The method includes obtaining first measurement data relating to measurements of a plurality of targets on at least one substrate, the measurement data relating to one or more acquisition settings and performing an optimization by minimizing a cost function which minimizes differences between the first measurement data and simulated measurement data based on a reconstructed parameterization for each of the plurality of targets. A constraint on the cost function is imposed based on a hierarchical prior. Also disclosed is a hybrid model method comprising obtaining a coarse model operable to provide simulated coarse data; and training a data driven model to correct the simulated coarse data so as to determine simulated data for use in reconstruction.

Abstract: Methods and apparatuses for determining a property of a structure fabricated on a substrate, by: determining a measured characteristic from pixels of a measured pupil image of the structure, the measured characteristic having less information than the measured pupil image; generating an initial simulated characteristic corresponding to the measured characteristic and based on a candidate model of the structure; comparing the measured characteristic to the simulated characteristic in an iterative method until a difference therebetween is less than a coarse threshold; generating an initial simulated pupil image based on the coarse model as the candidate model; comparing at least a portion of the measured pupil image to at least a portion of the simulated pupil image in an iterative method until a difference therebetween is less than a fine threshold.

Abstract: Systems, methods and media are provided for optimizing similar item recommendations in a semi-structured environment. In one embodiment a system includes at least one processor and a memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising, at least identifying a seed item; retrieving a subset of recommended items relevant to the seed item; and ranking the subset of recommended items based on an item conversion probability, wherein the ranking of the subset of recommended items is based on a machine learning technique, and wherein a binary or multi-class label is used as training input to the machine learning technique.

Abstract: Systems and methods are involved with but are not limited to: a freestandable container including one or more wall portions extending at least in part from said perimeter of said one or more floor portions to bound an interior space; said one or more perforated piping portions extending through said interior space and coupled to one or more passageways through one or more of said wall portions; and a plurality of members coupled to said one or more floor portions and extending from said one or more floor portions to distance said one or more exterior surface portions of said one or more floor portions from a horizontally oriented surface when said plurality of members are in contact therewith. In addition to the foregoing, other method aspects are described in the claims, drawings, and text forming a part of the present disclosure.

Abstract: A driver for driving an LED uses PWM in a sequence of the periods. The driver has a modulo counter, that is reset after each period. The driver has a first adder for combining the count value with a quantity indicative of a shift of the LED's control pulse relative to the start of the period; a second adder for combining the count value with a width quantity indicative of a width of the control pulse; and a logic gate receiving the MSBs at the outputs of the adders and supplying the control pulse.

Abstract: Image processing system for displaying information relating to the amplitude of displacements of wall regions of a deformable 3-D object under study, comprising acquisition means to acquire an image sequence of the simplified 3D object wall; and processing means to process the image data for defining region(s) of interest on the simplified 3D object wall, and computing the maximal amplitudes of displacement of said region(s) of interest over a period of time; constructing two 2D simplified representations (bull's eye representations) of the 3D simplified object wall with projection of the region(s) of interest in respective segments of said 2D simplified representations, respectively denoted by 2D simplified amplitude and phase representations; and further comprising display means to display color coded indications of the maximal amplitudes of displacements of the region(s) of interest over a period of time in the respective segments of the 2D simplified amplitude representation; and the display of color code

Abstract: A driver for driving an LED uses PWM in a sequence of the periods. The driver has a modulo counter, that is reset after each period. The driver has a first adder for combining the count value with a quantity indicative of a shift of the LED's control pulse relative to the start of the period; a second adder for combining the count value with a width quantity indicative of a width of the control pulse; and a logic gate receiving the MSBs at the outputs of the adders and supplying the control pulse.

Abstract: An image processing method for processing a sequence of images of a distortable 3-D Object, each image being registered at a corresponding image instant within the interval of time of the sequence having steps to construct and display an image of said 3-D Object represented with regions, each region showing a quantified indication relating to its maximal contraction or relaxation within said interval of time. Each region of the constructed and displayed image is attributed a respective color of a color coded scale that is function of the calculated quantified indication relating to the maximum of contraction or relaxation of said region. The quantified indications may be the instant when a face or region has had its maximum of contraction or relaxation; or the phase value corresponding to said maximum; or the delay to attain said maximum.

Abstract: A computer system for a rebate processing tool is provided. The computer system has a platform, at least one input device, and a central processing unit in communication with the platform and the at least one input device. The central processing unit is configured to receive, at a computer, a claim for one or more rebate programs and determine, by the computer, whether the claim satisfies one or more predetermined conditions. The central processing unit is also configured to approve the claim upon satisfaction of the predetermined conditions. The central processing unit is further configured to review the claim when at least one of the predetermined conditions is not satisfied.

Abstract: A medical ultrasound viewing system for processing a sequence of three-dimensional (3-D) ultrasound images far performing a quantitative estimation of a flow through a body organ comprising means for performing steps of acquiring a sequence of 3D color flow images, of said flow; assessing the flow velocity values in the 3D images, constructing isovelocity surfaces (6) by segmentation of the flow velocity values; computing the volume (Vol) delimited by the isovelocity surfaces; and using the flow velocity value (V) and the volume (Vol) computed from a segmented surface for computing the surface of an orifice (3) of the organ through which the flow propagates.

Abstract: Image processing method for displaying an image sequence of a deformable 3-D object with indications of the object wall motions comprising steps of acquiring image data of an image sequence, segmenting the 3-D object in the images of the sequence for locating the wall of the 3-D object, and coloring voxels or parts of the wall in function of their displacement with respect to the wall of the 3-D object in one image of the sequence chosen as a reference. Color images of the 3-D object with color coded voxels or parts of the wall are displayed in a sequence for the user to estimate the object wall motion. This method is used in medical examination apparatus for studying ultrasound images of organs whose walls have motion.

Abstract: Image processing system for displaying information relating to the amplitude of displacements of wall regions of a deformable 3-D object under study, comprising acquisition means to acquire an image sequence of the simplified 3D object wall; and processing means to process the image data for defining region(s) of interest on the simplified 3D object wall, and computing the maximal amplitudes of displacement of said region(s) of interest over a period of time; constructing two 2D simplified representations (bull's eye representations) of the 3D simplified object wall with projection of the region(s) of interest in respective segments of said 2D simplified representations, respectively denoted by 2D simplified amplitude and phase representations; and further comprising display means to display color coded indications of the maximal amplitudes of displacements of the region(s) of interest over a period of time in the respective segments of the 2D simplified amplitude representation; and the display of color code

Abstract: The invention relates to a viewing system having means for processing a sequence of three-dimensional (3-D) ultrasound images for performing a quantitative estimation of a flow in a body organ. In particular, the invention relates to a medical viewing system and to an image processing method for performing an automatic quantitative estimation of the blood flow through the heart values, and/or of the regurgitant jet, from a sequence of 3-D color flow images. The invention particularly finds an application in the field of medical imaging in cardiology using ultrasound medical apparatus and/or viewing systems.

Abstract: An image processing method for processing a sequence of images of a distortable 3-D Object, each image being registered at a corresponding image instant within the interval of time of the sequence having steps to construct and display an image of said 3-D Object represented with regions, each region showing a quantified indication relating to its maximal contraction or relaxation within said interval of time. Each region of the constructed and displayed image is attributed a respective color of a color coded scale that is function of the calculated quantified indication relating to the maximum of contraction or relaxation of said region. The quantified indications may be the instant when a face or region has had its maximum of contraction or relaxation; or the phase value corresponding to said maximum; or the delay to attain said maximum.

Abstract: Image processing method for displaying an image sequence of a deformable 3-D object with indications of the object wall motions comprising steps of acquiring image data of an image sequence, segmenting the 3-D object in the images of the sequence for locating the wall of the 3-D object, and coloring voxels or parts of the wall in function of their displacement with respect to the wall of the 3-D object in one image of the sequence chosen as a reference. Color images of the 3-D object with color coded voxels or parts of the wall are displayed in a sequence for the user to estimate the object wall motion. This method is used in medical examination apparatus for studying ultrasound images of organs whose walls have motion.