PROCESSING A TESSELATION
    32.
    发明公开

    公开(公告)号:US20230290064A1

    公开(公告)日:2023-09-14

    申请号:US18169529

    申请日:2023-02-15

    CPC classification number: G06T17/20

    Abstract: The disclosure relates to a computer-implemented method for tessellation processing. The tessellation forms a surface representation of a real-world 3D object. The method comprises providing a constrained tetrahedral Delaunay mesh comprising the tessellation. The mesh is conformal and comprises one or more sets of tetrahedrons, each set representing a gap between portions of the tessellation, each gap having a size lower than a predefined threshold. The method further comprises determining a set of one or more tetrahedra faces of the mesh to be added to the tessellation, includes minimizing an objective function that includes a term penalizing surface creation by face addition to the tessellation. The minimization is under the constraint that a given set of tetrahedra faces of the Delaunay mesh is to be added to the tessellation. The given set of tetrahedra faces includes, for each gap of one or more gaps, the tetrahedra faces meshing the gap.

    Critical Points for Test Data Preprocessing
    34.
    发明公开

    公开(公告)号:US20230237207A1

    公开(公告)日:2023-07-27

    申请号:US17580695

    申请日:2022-01-21

    Abstract: A computer-implemented method includes receiving, in computer memory, a first test data set that comprises results of a real-world test of a material, where the first test data set comprises a plurality of test data points. The method further includes identifying one or more critical points among the test data points in the first test data set and processing the first test data set with a computer processor to produce a second test data set with differing (e.g., fewer) test data points than the first test data set, wherein the second test data set includes all the test data points that were identified as critical points in the first test data set and at least some other data points.

    OPTIMIZING SPARQL QUERIES IN A DISTRIBUTED GRAPH DATABASE

    公开(公告)号:US20230195725A1

    公开(公告)日:2023-06-22

    申请号:US18067848

    申请日:2022-12-19

    CPC classification number: G06F16/24537 G06F16/9024 G06F16/24565

    Abstract: A computer-implemented method for generating by a query engine a graph of operators for a SPARQL query over an RDF graph. The method includes obtaining a graph of operators executable by the query engine, the graph comprising a plurality of basic operators, at least two of said operators being of a first type each configured to find RDF triples of the RDF graph that match a respective basic graph pattern. The method further comprises identifying a group of operators among the at least two basic operators of the graph which are of the first type. The respective basic graph patterns of the group of operators have same subject and/or predicate and/or object and the identified group of operators is replaced in the graph by an equivalent operator configured to find RDF triples of the RDF graph that match the respective basic graph patterns of the group of operators.

    MULTI-RENDER USER INTERFACE
    36.
    发明公开

    公开(公告)号:US20230185425A1

    公开(公告)日:2023-06-15

    申请号:US18080401

    申请日:2022-12-13

    Abstract: A computer-implemented method for rendering at least two visualization modes of a 3D model. The method comprises rendering the 3D model in a main view according to a first visualization mode. The method further comprises splitting the main view in at least two split views. Each split view corresponding to one visualization mode of a plurality of visualization modes. The method further comprises, for each split view, determining a rendering area of the 3D model associated to the current split view. The method further comprises rendering the 3D model in each split view according to its corresponding visualization mode and determined rendering area. This constitutes an improved method for rendering various visualization modes of a 3D model simultaneously.

    Smart Phrase Generator to Instruct Digital Manikin Action

    公开(公告)号:US20230169225A1

    公开(公告)日:2023-06-01

    申请号:US17456933

    申请日:2021-11-30

    CPC classification number: G06F30/20 G06F11/3457 G06F9/4881

    Abstract: Embodiments determine manikin posture for simulations of real-world environments. An embodiment automatically generates a phrase by performing a hierarchical analysis using data regarding the real-world environment. According to an embodiment, the generated phrase describes a task, to be simulated, performed by a manikin in an environment. In turn, one or more posture engine inputs are determined based on the generated phrase. The posture for the manikin in a simulation of the manikin performing the task in the environment is then automatically determined based on the determined one or more posture engine inputs.

    MODELLING OPERATIONS ON FUNCTIONAL STRUCTURES

    公开(公告)号:US20230162093A1

    公开(公告)日:2023-05-25

    申请号:US18147671

    申请日:2022-12-28

    CPC classification number: G06N20/00 G06F16/22 G06F30/10

    Abstract: The disclosure notably relates to a computer-implemented method for teaching a generative autoencoder. The generative autoencoder is configured to generate functional structures. A functional structure is a data structure representing a mechanical assembly of rigid parts and which includes a tree. Each leaf node represents a shape and positioning of a respective rigid part and a force exerted on the respective rigid part. Each non-leaf node with several children represents a mechanical link between sub-assemblies. Each sub-assembly is represented by a respective one of the several children. Each non-leaf node with a single child represents a duplication of the sub-assembly represented by the single child. The method includes obtaining a dataset including functional structures. The method further comprises teaching the generative autoencoder on the dataset. This constitutes an improved method for teaching a generative autoencoder configured for generating functional structures.

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