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    PHYSICS-AWARE AUTOMATIC SPATIAL PLANNING FOR SUBTRACTIVE AND HYBRID MANUFACTURING
    61.
    发明申请
    PHYSICS-AWARE AUTOMATIC SPATIAL PLANNING FOR SUBTRACTIVE AND HYBRID MANUFACTURING 有权

    公开(公告)号：US20230071648A1

    公开(公告)日：2023-03-09

    申请号：US17445639

    申请日：2021-08-23

    Applicant: PALO ALTO RESEARCH CENTER INCORPORATED

    Inventor： Amirmassoud MIRZENDEHDEL ,  Morad BEHANDISH ,  Saigopal NELATURI

    IPC: G05B19/4099

    Abstract: A method includes receiving a representation of a near-net shape including a 3D part and a support volume. The method also includes calculating a measure of inaccessibility of the support volume by at least one subtractive tool assembly. The method also includes calculating a measure of change in a physical quantity of interest with respect to a change in the near-net shape. The method also includes constructing a physics-aware inaccessibility measure based at least partially upon the measure of inaccessibility, the measure of change, or both. The method also includes creating a plan to remove at least a portion of the support volume using the at least one subtractive tool assembly based at least partially upon the physics-aware inaccessibility measure.

    BUILDING ENVIRONMENTAL SENSOR METHOD AND SYSTEM FOR COLLECTING DATA FROM SAME
    64.
    发明申请
    BUILDING ENVIRONMENTAL SENSOR METHOD AND SYSTEM FOR COLLECTING DATA FROM SAME 有权

    公开(公告)号：US20230054574A1

    公开(公告)日：2023-02-23

    申请号：US17404151

    申请日：2021-08-17

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Eric Allan Bier ,  Alejandro E. Brito ,  Shantanu Rane ,  Paloma Juanita Fautley

    IPC: H04W76/19 ,  H04W76/15 ,  H04W84/18 ,  H04W4/80

    Abstract: A building environmental sensor includes a sensing element for collecting measurements of environmental parameters such as temperature, humidity, light, sound or the absence or presence of gas. The sensor will: (a) detect that a data collection device is within a communication range of the sensor; (b) generate a data stream that includes the data that the sensor collected; (c) transmit the data stream to the first data collection device; (d) determine that a communication link between the sensor and the first data collection device was lost before the first data stream was fully transmitted; (e) detect that a second data collection device is within the communication range of the sensor; (f) generate a second data stream that includes the remaining data; and (g) transmit the second data stream to the second data collection device.

    METHOD AND SYSTEM FOR LEARNING AN ENSEMBLE OF NEURAL NETWORK KERNEL CLASSIFIERS BASED ON PARTITIONS OF THE TRAINING DATA
    66.
    发明申请
    METHOD AND SYSTEM FOR LEARNING AN ENSEMBLE OF NEURAL NETWORK KERNEL CLASSIFIERS BASED ON PARTITIONS OF THE TRAINING DATA 有权

    公开(公告)号：US20230047478A1

    公开(公告)日：2023-02-16

    申请号：US17400016

    申请日：2021-08-11

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Alejandro E. Brito ,  Bashir Sadeghi ,  Shantanu Rane

    IPC: G06N3/08 ,  G06N3/04 ,  G06N20/10 ,  G06N20/20 ,  G06K9/62

    Abstract: A method and system are provided which facilitate construction of an ensemble of neural network kernel classifiers. The system divides a training set into partitions. The system trains, based on the training set, a first neural network encoder to output a first set of features, and trains, based on each respective partition of the training set, a second neural network encoder to output a second set of features. The system generates, for each respective partition, based on the first and second set of features, kernel models which output a third set of features. The system classifies, by a classification model, the training set based on the third set of features. The generated kernel models for each respective partition and the classification model comprise the ensemble of neural network kernel classifiers. The system predicts a result for a testing data object based on the ensemble of neural network kernel classifiers.

    METHOD AND SYSTEM FOR REPRESENTATION-AGNOSTIC COMPOSITION OF HYBRID MANUFACTURING SERVICES
    68.
    发明申请
    METHOD AND SYSTEM FOR REPRESENTATION-AGNOSTIC COMPOSITION OF HYBRID MANUFACTURING SERVICES 有权

    公开(公告)号：US20230041509A1

    公开(公告)日：2023-02-09

    申请号：US17397499

    申请日：2021-08-09

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Morad Behandish ,  Saigopal Nelaturi

    IPC: G05B19/418

    Abstract: Two or more computational services are defined that each represent a respective different manufacturing capability used to partially create a target part model. A common space shared among the computational services is defined to reference the target part model and manufacturing primitives corresponding to each capability. The computational services are queried to construct a logical representation of the planning space based on intersections among the primitives. One or more process plans are formed using the different manufacturing capabilities to manufacture the part.

    LUMPED-PARAMETER ESTIMATION AND UNCERTAINTY QUANTIFICATION FOR SURROGATE MODELING OF PHYSICAL SYSTEMS
    70.
    发明申请
    LUMPED-PARAMETER ESTIMATION AND UNCERTAINTY QUANTIFICATION FOR SURROGATE MODELING OF PHYSICAL SYSTEMS 有权

    公开(公告)号：US20230022751A1

    公开(公告)日：2023-01-26

    申请号：US17382834

    申请日：2021-07-22

    Applicant: Palo Alto Research Center Incorporated

    Inventor： Randi Wang ,  Saman Mostafavi ,  Morad Behandish

    IPC: G06F30/20

    Abstract: Methods and systems for modeling physical systems may use a hybrid approach for surrogate modeling that incorporates both modeling based on physical principles and fitting to data. For example, a method for developing a reduced-order models (ROM) of a physical system may comprise: defining a quantity of interest (QoI) for the physical system; defining a lumped-parameter surrogate (LPS) of the physical system based on physical principles; deriving a topology from the LPS; deriving a governing equation of the ROM from the topology, wherein the governing equation has unknown parameters; collecting data about the QoI of the physical system; and fitting the governing equation based on the data to derive values for the unknown parameters and yield the ROM, wherein the ROM approximates the QoI.

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