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    Endpoint detection in manufacturing process by near infrared spectroscopy and machine learning techniques
    11.
    发明授权
    Endpoint detection in manufacturing process by near infrared spectroscopy and machine learning techniques 有权

    公开(公告)号：US10984334B2

    公开(公告)日：2021-04-20

    申请号：US15586678

    申请日：2017-05-04

    Applicant: Viavi Solutions Inc.

    Inventor： Changmeng Hsiung ,  Peng Zou ,  Lan Sun

    IPC: G06N5/04 ,  G06N20/00 ,  G06N20/10

    Abstract: A device may receive training spectral data associated with a manufacturing process that transitions from an unsteady state to a steady state. The device may generate, based on the training spectral data, a plurality of iterations of a support vector machine (SVM) classification model. The device may determine, based on the plurality of iterations of the SVM classification model, a plurality of predicted transition times associated with the manufacturing process. A predicted transition time, of the plurality of predicted transition times, may identify a time, during the manufacturing process, that a corresponding iteration of the SVM classification model predicts that the manufacturing process transitioned from the unsteady state to the steady state. The device may generate, based on the plurality of predicted transition times, a final SVM classification model associated with determining whether the manufacturing process has reached the steady state.

    Spectroscopic classification of conformance with dietary restrictions
    12.
    发明授权
    Spectroscopic classification of conformance with dietary restrictions 有权

    公开(公告)号：US10852285B2

    公开(公告)日：2020-12-01

    申请号：US16587260

    申请日：2019-09-30

    Applicant: VIAVI Solutions Inc.

    Inventor： Nada A. O'Brien ,  Changmeng Hsiung

    IPC: G06F11/30 ,  G01N33/12 ,  G06K9/68 ,  G06K9/62 ,  G01N21/27

    Abstract: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

    Focusing linear model correction and linear model correction for multivariate calibration model maintenance
    15.
    发明授权
    Focusing linear model correction and linear model correction for multivariate calibration model maintenance 有权

    公开(公告)号：US10969331B2

    公开(公告)日：2021-04-06

    申请号：US16032978

    申请日：2018-07-11

    Applicant: VIAVI Solutions Inc.

    Inventor： Lan Sun ,  Changmeng Hsiung

    IPC: G01N21/27 ,  G06F17/18

    Abstract: A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

    Spectroscopic classification of conformance with dietary restrictions
    17.
    发明授权
    Spectroscopic classification of conformance with dietary restrictions 有权

    公开(公告)号：US10444213B2

    公开(公告)日：2019-10-15

    申请号：US15401669

    申请日：2017-01-09

    Applicant: Viavi Solutions Inc.

    Inventor： Nada A. O'Brien ,  Changmeng Hsiung

    IPC: G06F11/30 ,  G01N33/12 ,  G01N21/27 ,  G06K9/62 ,  G06K9/68

    Abstract: A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

    Identification using spectroscopy
    18.
    发明授权
    Identification using spectroscopy 有权

    公开(公告)号：US10309894B2

    公开(公告)日：2019-06-04

    申请号：US15247554

    申请日：2016-08-25

    Applicant: Viavi Solutions Inc.

    Inventor： Changmeng Hsiung ,  Christopher G. Pederson ,  Peng Zou ,  Lan Sun

    IPC: G01N33/48 ,  G01N33/50 ,  G01N21/31 ,  G06N20/00 ,  G06F19/00 ,  G06N7/00

    Abstract: A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

    Reduced false positive identification for spectroscopic quantification
    20.
    发明授权
    Reduced false positive identification for spectroscopic quantification 有权

    公开(公告)号：US11775616B2

    公开(公告)日：2023-10-03

    申请号：US17301234

    申请日：2021-03-30

    Applicant: VIAVI Solutions Inc.

    Inventor： Changmeng Hsiung

    IPC: G01N21/27 ,  G06F18/2411 ,  G06F18/2433 ,  G01N21/25 ,  G01N21/359 ,  G01N21/17

    CPC classification number: G06F18/2411 ,  G01N21/255 ,  G01N21/27 ,  G06F18/2433 ,  G01N21/359 ,  G01N2021/1748 ,  G01N2201/129 ,  G06F2218/12

    Abstract: A device may receive information identifying results of a spectroscopic measurement performed on an unknown sample. The device may determine a decision boundary for a quantification model based on a configurable parameter, such that a first plurality of training set samples of the quantification model is within the decision boundary and a second plurality of training set samples of the quantification model is not within the decision boundary. The device may determine a distance metric for the spectroscopic measurement performed on the unknown sample relative to the decision boundary. The device may determine a plurality of distance metrics for the second plurality of training set samples of the quantification model relative to the decision boundary. The device may provide information indicating whether the spectroscopic measurement performed on the unknown sample corresponds to the quantification model.

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