DESIGN AID DEVICE, DESIGN AID METHOD, AND DESIGN AID PROGRAM

    公开(公告)号:US20240211663A1

    公开(公告)日:2024-06-27

    申请号:US18556900

    申请日:2022-04-20

    Inventor: Kyohei HANAOKA

    CPC classification number: G06F30/27 G06F2111/06

    Abstract: A design aid device according to an embodiment includes a data acquisition unit configured to acquire performance data including a design parameter group and an observation value of a feature item, a model construction unit configured to construct a predictive model predicting an observation value as a probability distribution, etc., a sampling unit configured to sample a predetermined number of points of objective variable groups using each predictive model, an evaluation value calculation unit configured to convert a vector whose elements are values of respective objective variables into a scalar, thereby calculating an evaluation value of at each sampling point, an acquisition function evaluation unit configured to output an acquisition function evaluation value based on a distribution of the evaluation value at each sampling point, and a design parameter group acquisition unit configured to acquire a design parameter group by optimization of the acquisition function evaluation value.

    Automated network-on-chip design
    86.
    发明授权

    公开(公告)号:US11544441B2

    公开(公告)日:2023-01-03

    申请号:US16274173

    申请日:2019-02-12

    Inventor: Wolfgang Fink

    Abstract: Various examples are provided related to automated chip design, such as a pareto-optimization framework for automated network-on-chip design. In one example, a method for network-on-chip (NoC) design includes determining network performance for a defined NoC configuration comprising a plurality of n routers interconnected through a plurality of intermediate links; comparing the network performance of the defined NoC configuration to at least one performance objective; and determining, in response to the comparison, a revised NoC configuration based upon iterative optimization of the at least one performance objective through adjustment of link allocation between the plurality of n routers. In another example, a method comprises determining a revised NoC configuration based upon iterative optimization of at least one performance objective through adjustment of a first number of routers to obtain a second number of routers and through adjustment of link allocation between the second number of routers.

    Designing objects using lattice structure optimization

    公开(公告)号:US11501029B2

    公开(公告)日:2022-11-15

    申请号:US16727862

    申请日:2019-12-26

    Applicant: AUTODESK, INC.

    Abstract: A design engine for designing an object using structural analysis. The design engine generates a lattice structure for the object comprising a plurality of nodes and a plurality of lines connecting the nodes. The lattice structure is optimized to remove one or more lines using structural analysis based on at least one load-related design requirement. Several design options are provided for generating and optimizing the lattice structure. The design engine then generates a 3D model of the object by thickening each line of the lattice structure into a pipe volume. The thickness of each pipe is determined using structural analysis based on the at least one load-related design requirement. The 3D model represents the volume of the object and is exportable to a fabrication device.

    Parametric equivalent magnetic network modeling method for multi objective optimization of permanent magnet motor

    公开(公告)号:US11373023B2

    公开(公告)日:2022-06-28

    申请号:US17414964

    申请日:2020-06-24

    Abstract: A parametric equivalent magnetic network modeling method for multi-objective optimization of permanent magnet motor is provided. Firstly, the disordered region and the regular region of the magnetic flux lines in the motor are divided, and the dynamic mesh model of the disordered region and the magnetic circuit model of the ordered region is constructed. Then, the dynamic mesh model and the magnetic circuit model are connected, and the parametric equivalent magnetic network model of the motor is established. The nonlinear matrix is used to solve the equations, and the magnetic potential of each node is solved to obtain the torque characteristics of the motor. Then, the variable sensitivity analyses of the average torque and torque ripple are carried out by using the parametric equivalent magnetic network model, and the response surface models of the average torque and torque ripple are established by selecting the high sensitivity variables.

    Forecasting national crop yield during the growing season

    公开(公告)号:US11275197B2

    公开(公告)日:2022-03-15

    申请号:US16791918

    申请日:2020-02-14

    Inventor: Ying Xu Lijuan Xu

    Abstract: A method for determining national crop yields during the growing season is provided. In an embodiment, a server computer system receives agricultural data records for a particular year that represent covariate data values related to plants at a specific geo-location at a specific time. The system aggregates the records to create geo-specific time series for a geo-location over a specified time. The system creates aggregated time series from a subset of the geo-specific time series. The system selects a representative feature from the aggregated time series and creates a covariate matrix for each specific geographic area in computer memory. The system determines a specific state crop yield for a specific year using linear regression to calculate the specific state crop yield from the covariate matrix. The system determines a national crop yield for the specific year using the sum of the state crop yields for the specific year nationally adjusted.

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