ASSESSING VEHICLE NOISE
    4.
    发明公开

    公开(公告)号:US20240270410A1

    公开(公告)日:2024-08-15

    申请号:US18167956

    申请日:2023-02-13

    CPC classification number: B64F5/60 G08G5/0034 G08G5/0047

    Abstract: Embodiments assess vehicle noise. One such embodiment defines a computer-based model of a vehicle and automatically determines aerodynamic performance and propulsion performance of the vehicle based on the defined computer-based model. Responsively, a flight-dynamics simulation of the vehicle is performed using the determined aerodynamic performance and propulsion performance. Performing the flight-dynamics simulation produces flight status data. The flight status data is automatically down-sampled to generate a reduced dataset. A high-fidelity flow simulation of the vehicle is performed using the reduced dataset. Performing the high-fidelity flow simulation determines in-flight aerodynamic and aeroacoustic performance of the vehicle. In turn, based on the determined in-flight aerodynamic and aeroacoustic performance, noise physical characteristics of the vehicle are determined and an indication of the determined noise physical characteristics is stored in computer memory.

    Virtualized cable modeling for manufacturing resource simulation

    公开(公告)号:US11886174B2

    公开(公告)日:2024-01-30

    申请号:US16944859

    申请日:2020-07-31

    Inventor: Uday Pathre

    Abstract: Embodiments simulate a manufacturing resource including a cable by creating a polyline model of the cable that includes a collection of points. For each point, there is an associated point mass and zero mass sphere, and an assigned elasticity and torsional stiffness between the point and adjacent points. Position and orientation of a start point and an end point of the points is defined based upon position in three dimensional (3D) space of a manufacturing resource. In turn, a simulation of the cable for a time step is performed by computing forces on each point using: (i) the associated point mass, (ii) the associated zero mass sphere, (iii) the assigned elasticity and torsional stiffness between the point and adjacent points, and (iv) the defined position and orientation of the start point and end point. Performing the simulation determines position in 3D space of each point based on the computed forces.

    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.

    BIOLOGICAL SEQUENCE FINGERPRINTS
    10.
    发明申请

    公开(公告)号:US20190130064A1

    公开(公告)日:2019-05-02

    申请号:US15796679

    申请日:2017-10-27

    Abstract: In accordance with one embodiment of the invention, features of biological sequences are represented in a fingerprint that includes a bitset, and may also include counts, strings or continuous values, for the features. The fingerprint can be used with machine learning and statistical methods. This is especially advantageous for, though not limited to, drug discovery processes. The method permits Structure-Activity Relationship (SAR) and Quantitative Structure-Activity Relationship (QSAR) studies to be performed with biological sequences.

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