53 results about "Mesh generator" patented technology

The present invention provides a continuously tunable external cavity laser (ECL) with a compact form factor and precise tuning to a selected center wavelength of a selected wavelength grid. The ECL may thus be utilized in telecom applications to generate the center wavelengths for any channel on the ITU or other optical grid. The ECL does not require a closed loop feedback. A novel tuning mechanism is disclosed which provides for electrical or mechanical tuning to a known position or electrical parameter, e.g., voltage, current or capacitance, with the required precision in the selected center wavelength arising as a result of a novel arrangement of a grid generator and a channel selector. The grid generator exhibits first pass bands which correspond to the spacing between individual channels of the selected wavelength grid and a finesse which suppresses side band modes of the laser. The channel selector exhibits second pass bands that are wider than the first pass bands. In an embodiment of the invention the second pass bands have a periodicity substantially corresponding with the separation between the shortest wavelength channel and the longest wavelength channel of the selected wavelength grid and a finesse which suppresses channels adjacent to the selected channel. The broad second pass bands of the channel selector reduce the sensitivity of the ECL to tuning variations about the selected channel, thus avoiding the requirement of a closed loop feedback system to control the channel selector.

A system and method of developing better-designed medical devices, particularly cardiovascular stents and endovascular grafts. The system comprises a geometry generator, a mesh generator, a stress / strain / deformation analyzer, and a visualization tool. In one embodiment, the geometry generator receives three-dimensional volumetric data of an anatomical feature and generates a geometric model. The mesh generator then receives such geometric model of an anatomical feature or an in vitro model and a geometric model of a candidate medical device. In another embodiment, the mesh generator only receives a geometric model of the candidate medical device. Using the geometric model(s) received, the mesh generator creates or generates a mesh or a finite element model. The stress / strain / deformation analyzer then receives the mesh, and the material models and loads of that mesh. Using analysis, preferably non-linear analysis, the stress / strain / deformation analyzer determines the predicted stresses, strains, and deformations on the candidate medical device. Such stresses, strains, and deformations may optionally be simulated visually using a visualization tool.

An SBR encoder includes a filter bank that receives an input signal, a time / frequency grid generator that controls a number of bits of various parameters, a parameter calculator that calculates various parameters, a parameter coding unit that encodes the parameters, a multiplexer that multiplexes encoded data, an upper-limit number-of-bit storage unit that stores an upper limit of the number of bit of encoded data of high-frequency component finally generated in a high-pass encoding process, and a number-of-bit controller. The number-of-bit controller controls the high-pass encoding process by preferentially encoding a parameter having a large influence to sound quality and not encoding a parameter having a small influence to the sound quality relative to a plurality of parameters, so that the number of bits of the encoded data of high-frequency component finally generated in the high-pass encoding process becomes equal to or less than the upper limit to be stored in the upper-limit number-of-bit storage unit.

The invention discloses a character recognition method based on deep learning. The method includes the construction phase of a spatial transform layer and the construction and training phase of a deep convolutional neural network. The spatial transform layer consists of three parts: a positioning network receives a feature map as an input, enables the feature map to pass through a series of hidden layers, and then outputs a parameter of spatial transform, wherein the parameter is to be used for the feature map; a grid generator generates sampling grids by using the parameter generated in the first part; and a sampler takes the feature map and the sampling grids as inputs, samples the feature map at grid points, and finally obtains an output feature map result. The spatial transform layer can be differentiated. By the spatial transform layer, image data can be spatially processed in the network so that the network can learn the invariance of the space distortion and avoid the need for manually generating a large number of deformed samples in traditional convolutional network training. In addition, by building deeper volumes and neural networks, a better recognition effect is realized on a large variety of Chinese characters.

A relative navigation system projects a grid into space from a grid generator and an object, such as an unmanned aerial vehicle, may use the projected grid to aid in the landing of the object. Methods of adjusting the projected grid including stabilizing the projected grid and orienting the grid generator relative to the earth.

A highly accurate and robust cubic cell mesh generator “Cubegen” capable of a trillion plus cell meshes on a single processor 4-Gigabyte main memory workstation has been developed. The cells are generated in Yee format for the Finite Difference Time Domain method. Three key techniques were employed to achieve this capability: a highly efficient data storage ray tracing method, a highly accurate ray-facet intersection test, and a novel exact arithmetic tie-breaking algorithm for rays intersecting facet edges and vertices.

A method and system of automatically generating information in a grid structure on a display screen. In one embodiment, the present invention is directed to displaying and editing microcontroller chip configuration information. The method involves reading a data file describing a configurable sub-system of the microcontroller, identifying the configurable parameters of the sub-system and constructing a two dimensional display for displaying the values of variables associated with those parameters. The two dimensional display (“display grid”) may contain a row for each parameter, a column for the name of the parameter, and a cell in each row for each variable associated with that parameter. The cells associated with variables can be restricted to accept values chosen from a set enumerated in the data file describing the configurable sub-system. The data file contains all information necessary for generating the grid display, including its width, length, data label information, cell data and data values that can be assigned to cells. A grid generator reads the data file and automatically generates the display grid based on the embedded data definitions.

A computer-implemented method and apparatus of 3D modeling accesses product data of a consumer good product. The product data includes 2D image data of the subject consumer good product and shape information of the subject consumer good product. An extractor extracts the shape information from the product data, including a 3D shape class of the subject consumer good product, and derives a detailed 3D shape graph. The detailed 3D shape graph represents an orthographically correct 3D outline shape of the subject consumer good product. As a function of the determined 3D shape class, a mesh generator generates a 3D mesh of the subject consumer good product from the detailed 3D shape graph. An image mapper projects images onto the 3D mesh, the images being of the subject consumer good product and from the 2D image data. A 3D model of the subject consumer good product results and is configured for interactive display on web pages and in other user-interactive environments.

It is one object of the present invention to form a conventional mesh as a sample in order to efficiently generate a high-quality mesh for a predetermined shape model. A mesh generation system 10 for generating a mesh used for finite element analysis comprises: a mesh characteristic extraction unit 11 for receiving a conventional mesh and extracting a characteristic therefrom; and a mesh generator 13 for receiving a target shape model for mesh generation, and for generating a mesh for the shape model based on the characteristic of the conventional mesh extracted by the mesh characteristic extraction unit 11.

Apparatus and method of predicting performance of a semiconductor manufacturing process and device, which reduces simulation resources to predict the performance distribution in the wafer and manufacturing method of a semiconductor device are disclosed. According to one aspect, it is provided a performance prediction apparatus comprising a uniform mesh data generator generating uniform mesh data by dividing a wafer using a uniform mesh to predict an in-plane characteristics distribution of performance in a series of process steps, a non-uniform mesh generator generating a non-uniform mesh by combining element meshes based on the uniform mesh data and predetermined threshold, a common mesh generator generating a common mesh by superimposing the non-uniform meshes and selecting a minimum mesh by region, a common mesh data generator generating common mesh data by representing the performance using the common mesh, and a predicting section predicting a comprehensive performance after processing the series of processes.

A DELTAZ calculator calculates difference between an inversion layer capacitance by a classical theory and an inversion layer capacitance by a quantum theory, calculates DELTAZ which is a thickness of a semiconductor substrate equivalent to the difference in inversion layer capacitance. A discretization mesh generator generates a Delaunay discretization mesh for a structure of the semiconductor device to be evaluated. An electrical parameter calculator calculates electrical parameters of the semiconductor device under constraint that a charge density of channel conductivity type of the semiconductor device is set to zero at discretization mesh points of the discretization mesh on an interface between an insulating film and the semiconductor substrate and at discretization mesh points of the discretization mesh in the semiconductor substrate which are located within a distance less than the stored DELTAZ from the interface between the insulating film and the semiconductor substrate.

A relative navigation system and methods of intrusion detection for such a relative navigation system where the method includes repeatedly projecting from a grid generator a set of lines defining a grid into three dimensional space to define a field bounded by the grid and encoded with grid data configured to identify predetermined points on the grid and determining a presence of an intruding object within the field.

System and methods for providing situational awareness information to an aircrew of an aircraft including projecting into space, from a grid generator at the landing zone, a set of lines defining a relative navigation grid and encoded with grid data and configured to identify predetermined points on the relative navigation grid that provide situational awareness, detecting, with a detector module on the aircraft, a location of the aircraft within the grid and generating and displaying situational awareness information based on detected location.

The present invention discloses a system for analyzing and simulating the die swell and the flow profile in polymer melt extrusion through a die, said system typically comprising a mesh generator adapted to generate a computational mesh; a pre-processor adapted to obtain die parameters, boundary conditions, polymer melt parameters including rheological characterization and constitutive equations and to generate an input file; a simulator adapted to receive the input file from the pre-processor and process the input data to simulate die swell; a mesh corrector means adapted to analyze the die swell obtained from said simulator and to correct the motion of the computational mesh and polymer melt to converge the die swell; a post-processor means adapted to visualize the die swell and flow profiles for the polymer melt; and a database means adapted to store the die swell corresponding to the die, mesh and polymer melt parameters.

A hexahedral mesh generator for an analysis model generation target includes an existing analysis model database that stores shape data of existing analysis models before and after shape decomposition, a shape decomposition part extracting module that compares the shapes existing analysis models before and after the shape decomposition, a shape comparison module that compares each shape decomposition part with the analysis model generation target and checks whether the shape decomposition part coincides with at least part of the analysis model generation target, a coinciding shape decomposition part display / selection module that displays coinciding shape decomposition parts and outputs shape decomposition parts selected by the user, a shape decomposition module that decomposes the shape of the analysis model generation target in the same way as the outputted shape decomposition parts, and a hexahedral mesh generating module that generates the hexahedral mesh for the analysis model generation target after undergoing the shape decomposition.

Water surface and other effects are efficiently simulated to provide real time or near real time imaging on low-capacity computer graphics computation platforms. Water and other surfaces are modeled using multiple independent layers can be dynamically adjusted in response to real time events. The number of layers used in a given area can be adjusted to reduce computational loading as needed. Different algorithms can be employed on different layers to give different effects. The multiple layer modeling is preferably converted to polygons using an adaptive polygon mesh generator based on camera location and direction in the 3D world to provide automatic level of detailing and generating a minimal number of polygons. The visual effects of water droplets and other coatings on see-through surfaces can be modeled and provided using indirect texturing.

A face image adjusting system comprises a control memory and an image input device, a grid generator, a measurer, a converter and a synthesizer respectively connected with the control memory. The image input device is used for videoing an initial full face image and a side face image, and used for uploading the images to the control memory for storage; the grid generator employs the initial full face image to generate an initial full face grid structure, and employs the side face image to generate a side face grid structure. The measurer measures the face characteristic values on the initial full face grid structure and the side face grid structure, sends the face characteristic values to the control memory for storage, and determines a symmetric line so as to divide the initial full face grid structure into two symmetric initial half-face structures. The converter employs the initial half-face structure and the side face grid structure to form a first half-face grid structure; the synthesizer maps the first half-face grid structure by using the symmetric line as a reference line so as to form a second half-face grid structure, thereby creating a first full-face grid structure.

A method of neural network operations by using a grid generator is provided for converting modes according to classes of areas to satisfy level 4 of autonomous vehicles. The method includes steps of: (a) a computing device instructing a pair detector to acquire information on locations and classes of pairs for testing by detecting the pairs for testing; (b) the computing device instructing the grid generator to generate section information by referring to the information on the locations of the pairs for testing; (c) the computing device instructing a neural network to determine parameters for testing by referring to parameters for training which have been learned by using information on pairs for training; and (d) the computing device instructing the neural network to apply the neural network operations to a test image by using each of the parameters for testing to thereby generate one or more neural network outputs.

A sensor system having multiple sensors and having a grid generator projecting into space a relative navigation grid and a method of utilizing multiple airborne sensors operably coupled to an aircraft and coordinating the sensor outputs from the airborne sensors based on the determined spatial position of the multiple sensors and a method for utilizing multiple airborne sensors.

An arrangement is disclosed for generating a coarse level mesh representing a surface, from a finer level mesh surface representation. The arrangement includes an indicator value generator and a coarse level mesh generator. The indicator value generator, for respective ones of the points in the finer level mesh surface representation, evaluates an indicator function, the value indicating whether a subdivision-inverse filter methodology or a least-squares optimization methodology is to be used to determine a position for the corresponding point in the coarse level mesh representation. The coarse level mesh generator determines, for each of the points that is to be provided in the coarse level mesh representation, a position in response to the position of the corresponding point in the finer level mesh representation, in accordance with the one of the subdivision-inverse filter methodology and least-squares optimization methodology indicated by the indicator value generated by the indicator value generator.

A system and method for radio network planning comprises a grid generator and a Monte Carlo analysis module. The Monte Carlo analysis module comprises a snapshot generation module which draws, for each snapshot and for each pixel, a statistical realisation from a distribution function relating to slow fading, and a snapshot evaluation module which establishes radio network parameters. The Monte Carlo analysis module further comprises a sub-snapshot generation module which generates at least one sub-snapshot for each evaluated snapshot result, and a sub-snapshot evaluation module (14) for evaluating HSDPA performance parameters based on the sub-snapshot. The sub-snapshot evaluation module (14) comprises a scheduler module (16) which is arranged for scheduling a HSDPA user according to a scheduling scheme.

An apparatus and method for natural hand processing for virtual reality. For example, one embodiment of an apparatus comprises: graphics processing circuitry to render left and right scenes responsive to a virtual reality application, the left and right scenes to be displayed on left and right displays, respectively, of a virtual reality device; and a natural hand processing pipeline to project a representation of a user's hands into the left and right scenes to allow the user to interact with one or more objects in the scenes, the natural hand processing pipeline comprising: a depth / mask data smoothing and reconstruction module to receive noisy depth and mask data associated with images of the user's hands and to enhance the noisy depth data and mask data to generate enhanced depth and mask data; a hand mesh generator to generate a hand mesh using the enhanced depth and mask data; and a mesh data projector to project the hand mesh into the left and right scenes.