公开(公告)号：US11125655B2

公开(公告)日：2021-09-21

申请号：US16985512

申请日：2020-08-05

Applicant: SAS Institute Inc.

Inventor： Ryan Adam Lekivetz ,  Joseph Albert Morgan ,  Bradley Allen Jones ,  Caleb Bridges King

IPC: G01M99/00

Abstract: A computing device receives a request for a design of an experiment. The device generates a data representation of a matrix Y that defines a supersaturated design for the design of the experiment. The generating the data representation is by: generating a data representation of a matrix X according to an obtained design; computing an indication of correlation between effects of factors of a matrix Y; and generating, based on the indication of correlation, the data representation of the matrix Y that is the transposition of the matrix X or is the transposition of a matrix X*. The matrix X* is a first subset of the matrix X such that the transposition of the matrix X* represents a same number of factors as the transposition of the matrix X. The device outputs a setting for each test condition of the supersaturated design for the experiment.

公开(公告)号：US20190325095A1

公开(公告)日：2019-10-24

申请号：US16154332

申请日：2018-10-08

Applicant: SAS Institute Inc.

Inventor： Ryan Adam Lekivetz ,  Joseph Albert Morgan ,  Bradley Allen Jones

IPC: G06F17/50 ,  G06F17/16 ,  G06T17/00 ,  G06N3/02 ,  G06F15/18

Abstract: A computing device generates representative points, each representing a potential design point for a design space. The computing device determines for the design space primary clusters, a categorical factor, and at least two levels for the categorical factor. The computing device, for each of the primary clusters, selects a design point from each sub-cluster of the respective primary cluster. The computing device, for each of the primary clusters, allocates the at least two levels of the categorical factor, such that a level of the at least two levels is allocated to each selected design point in the respective primary cluster. The computing device modifies an initial sub-design that represents the selected design points allocated a given level of the categorical factor by increasing separation between design points allocated a same level of the categorical factor. The computing device outputs to an output device a modified design for the design space.

公开(公告)号：US10386271B1

公开(公告)日：2019-08-20

申请号：US16240182

申请日：2019-01-04

Applicant: SAS Institute Inc.

Inventor： Caleb Bridges King ,  Joseph Albert Morgan ,  Ryan Adam Lekivetz

IPC: G01M99/00 ,  G06F3/0484

Abstract: The computing device receives information representing a design of an experiment. The design of the experiment comprises a plurality of test cases. Each element of a test case of the design is a test condition for testing one of factors for the experiment. The computing device generates a graphical representation based on the information. The graphical representation comprises a plurality of axes for respective ones of factors used in a fractal sequence. Each of the plurality of axes has two endpoints comprising a first endpoint that corresponds to a first level of a respective factor, and a second endpoint that corresponds to a second level of the respective factor. The computing device plots, on the graphical representation, data corresponding to one or more test cases of the plurality of test cases. The computing device displays an interactive graphical user interface comprising the graphical representation with the plotted data.

公开(公告)号：US20180060466A1

公开(公告)日：2018-03-01

申请号：US15690705

申请日：2017-08-30

Applicant: SAS Institute Inc.

Inventor： Joseph Albert Morgan ,  Bradley Allen Jones ,  Ryan Adam Lekivetz

IPC: G06F17/50

CPC classification number: G06F17/5009 ,  G06F3/0482 ,  G06F17/2795 ,  G06F2217/04 ,  G06F2217/14 ,  G06F2217/16 ,  G06T11/206

Abstract: An apparatus may include a processor caused to: receive indications of first and second experiment designs to be compared; for each factor of the model of the first experiment design, identify a matching factor of the model of the second experiment design based on factor type, wherein the factor type is selected from the group consisting of a categorical factor and a continuous factor; for each categorical factor of the model of the first experiment design, identify a matching factor of the model of the second experiment design additionally based on quantity of levels of each factor; for each term of the model of the first experiment design, identify a matching term of the model of the second experiment design based on an order of each term; and present, on a display, the identified matches between the terms and between the responses of the first and second experiment designs.

公开(公告)号：US11216603B2

公开(公告)日：2022-01-04

申请号：US17144278

申请日：2021-01-08

Applicant: SAS Institute Inc.

Inventor： Joseph Albert Morgan ,  Ryan Adam Lekivetz ,  Bradley Allen Jones ,  Caleb Bridges King

IPC: G06F30/20 ,  G06F30/12 ,  G06F30/23 ,  G06F30/17 ,  G06F111/04 ,  G06F111/16 ,  G06F3/0484 ,  G06F11/20

Abstract: A computing system receives a request for a computer-generated design of an experiment. A design space is defined by candidate inputs for each factor of the experiment. The system receives a disallowed combination indication indicating a user-defined disallowed combination for the design space. The disallowed combination constrains a first set of values from a first set of candidate inputs from being assigned to the first factor if the second factor is assigned one of a second set of values from a second set of candidate inputs. The system determines additional constraint(s) on computer generation of the design. The system evaluates if a user-defined model can be generated according to the disallowed combination and the constraint(s). The system generates a computer suggested modification of the user-defined model such that the design can be generated according to the computer suggested modification.

公开(公告)号：US11194940B2

公开(公告)日：2021-12-07

申请号：US17144420

申请日：2021-01-08

Applicant: SAS Institute Inc.

Inventor： Joseph Albert Morgan ,  Yeng Saanchi ,  Laura Carmen Lancaster ,  Christopher Michael Gotwalt ,  Caleb Bridges King ,  Ryan Adam Lekivetz

IPC: G06F30/20 ,  G06F30/12 ,  G06F30/23 ,  G06F30/17 ,  G06F111/04 ,  G06F111/16 ,  G06F3/0484

Abstract: A computing system determines a design space for designing a design system. The computing system receives a request to identify input(s) that will provide a response of the design system that advances a user-defined goal for the design system. The computing system, responsive to the request to identify input(s), generates a design for the design space that provides design cases for generating the response of the design system and obtains responses of the design system generated for multiple design cases of the design for the design system. The computing system selects at least one design case based on obtained responses of the design system for the multiple design cases, and based on the at least one design case, outputs an indication of suggested input(s) for the design system. The suggested input(s) advances the user-defined goal for the design system and is not disallowed according to disallowed combination(s).

公开(公告)号：US10902162B2

公开(公告)日：2021-01-26

申请号：US15690886

申请日：2017-08-30

Applicant: SAS Institute Inc.

Inventor： Joseph Albert Morgan ,  Bradley Allen Jones ,  Ryan Adam Lekivetz

IPC: G06F30/20 ,  G06F30/333 ,  G06F111/02 ,  G06F111/10 ,  G06F40/247 ,  G06F3/0482 ,  G06T11/20

Abstract: An apparatus may include a processor caused to: receive indications of selection of an experiment design for regression analysis, of a type of distribution for a simulation of random data in the regression analysis, and of selection of a number of iterations of the simulation of random data; generate executable instructions in a pre-selected programming language to be executable by the processor to perform the regression analysis with the selected number of iterations of simulation of random data and with the selected type of distribution; generate a human readable form of a portion of the first executable instructions that includes the coefficients and terms in mathematical notation, and that specifies the selected number of iterations and the selected type of distribution for the simulation of random data; and present, on a display communicatively coupled to the processor, the human readable form of the portion of the first executable instructions.

公开(公告)号：US11346751B1

公开(公告)日：2022-05-31

申请号：US17388519

申请日：2021-07-29

Applicant: SAS Institute Inc.

Inventor： Caleb Bridges King ,  Joseph Albert Morgan ,  Ryan Adam Lekivetz ,  Bradley Allen Jones

IPC: G01M99/00 ,  G06N5/04

Abstract: A computing system receives a request for computer-generated likelihood(s) for candidate evaluations of an industrial product set according to a measurement system analysis (MSA). The MSA comprises tests for evaluating, according to a measurement standard, the industrial product set. The request indicates a metric set representing metric(s) each quantifying an estimate of contribution to variation in evaluating the industrial product set according to the MSA. The system generates a design comprising a respective input set for each test of the MSA. The respective input set comprises setting(s) for conducting a test of the MSA. The design is designed to isolate candidate sources for contributing to the variation in evaluating the industrial product set according to the MSA. The system (e.g., prior to the MSA) outputs, based on the metric set and the design, the computer-generated likelihood(s) for the candidate evaluations of the industrial product set according to the MSA.

公开(公告)号：US20210326501A1

公开(公告)日：2021-10-21

申请号：US17365083

申请日：2021-07-01

Applicant: SAS Institute Inc.

Inventor： Ryan Adam Lekivetz ,  Joseph Albert Morgan ,  Caleb Bridges King ,  Bradley Allen Jones

IPC: G06F30/20 ,  G06N3/08

Abstract: A computing system receives a request to generate computer-generated data for an experiment. The computer-generated data comprises generated inputs defining setting(s) for a plurality of factors for a design of the experiment. The generated inputs are generated to be representative of a respective design space of different design spaces for the design of the experiment. The system receives first characteristic(s) for specifying generation of the computer-generated data associated with a first design space. The system receives second characteristic(s) for specifying generation of the computer-generated data associated with a second design space. The system, responsive to the request, generates a design suite that comprises the computer-generated data that represents, in a first set of design cases of the design suite, settings constrained by the first design space, and represents, in a second set of design cases of the design suite, settings constrained by the second design space.

公开(公告)号：US11087033B1

公开(公告)日：2021-08-10

申请号：US17153731

申请日：2021-01-20

Applicant: SAS Institute Inc.

Inventor： Ryan Adam Lekivetz ,  Bradley Allen Jones ,  Joseph Albert Morgan ,  Caleb Bridges King

IPC: G06F30/12 ,  G06F17/18 ,  G06F30/27 ,  G06F111/20

Abstract: A computing system generates a subset of design cases of candidate design cases. The system indexes, in the subset, data elements. The system generates a design of an experiment by, for each respective data element, determining a status indicating whether the respective data element corresponds to an uncontrolled factor or a controlled factor. When the status indicates the uncontrolled factor, the system determines if substituting a respective set of specified options of a respective candidate design case comprising the respective data element with a different set of specified options of the candidate design cases improves a criterion measure according to a design criterion. When the status indicates the controlled factor, the system determines if changing an assigned option of the respective data element improves the criterion measure. The system updates the criterion measure with an updated criterion measure according to a change of the subset based on generating the design.