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11.发明申请公开(公告)号：US20180322399A1
公开(公告)日：2018-11-08
申请号：US15586678
申请日：2017-05-04
Applicant: Viavi Solutions Inc.
Inventor： Changmeng HSIUNG , Peng Zou , Lan Sun
CPC classification number: G06N5/04 , G06N99/005
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.
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公开(公告)号：US20170303846A1
公开(公告)日：2017-10-26
申请号：US15135110
申请日：2016-04-21
Applicant: Viavi Solutions, Inc.
Inventor： Nada A. O'BRIEN , Curtis R. HRUSKA , Marc K. VON GUNTEN , Christopher G. PEDERSON , Changmeng HSIUNG
IPC: A61B5/00 , G01N33/02 , G01N21/27 , G06F3/0484 , A61B5/0205 , A61B5/11 , A61B5/145 , G06F19/00 , A61B5/053 , A61B5/021 , A61B5/024
CPC classification number: A61B5/486 , A61B5/0075 , A61B5/0205 , A61B5/021 , A61B5/02438 , A61B5/0531 , A61B5/1118 , A61B5/14532 , A61B5/4266 , A61B5/4866 , A61B5/6801 , A61B5/7278 , A61B5/746 , A61B5/747 , A61B2562/0219 , G01N21/27 , G01N33/02 , G06F3/04842 , G06F19/00 , G16H20/30 , G16H20/60 , G16H40/63 , G16H40/67 , G16H50/20
Abstract: A device may receive, from a plurality of sensors, sensor data relating to a user. The device may include a plurality of types of sensors including a spectrometer and one or more of an accelerometer, a heart rate sensor, a blood pressure sensor, a blood sugar sensor, a perspiration sensor, a skin conductivity sensor, or an imaging sensor. The device may process the sensor data, from the plurality of types of sensors, relating to the user to determine a health condition of the user. The device may provide, via a user interface, information identifying the health condition of the user based on processing the sensor data, from the plurality of types of sensors, relating to the user.
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13.发明公开公开(公告)号：US20230160812A1
公开(公告)日：2023-05-25
申请号：US18151632
申请日：2023-01-09
Applicant: VIAVI Solutions Inc.
Inventor： Lan SUN , Changmeng HSIUNG
CPC classification number: G01N21/274 , G06F17/18 , G01N2201/12753 , G01N2201/12769 , G01N2201/12784
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.
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14.发明申请公开(公告)号：US20210224672A1
公开(公告)日：2021-07-22
申请号：US17301427
申请日：2021-04-02
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Peng ZOU , Lan SUN
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.
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15.发明申请公开(公告)号：US20210208059A1
公开(公告)日：2021-07-08
申请号：US17249572
申请日：2021-03-05
Applicant: VIAVI Solutions Inc
Inventor： Lan SUN , Changmeng HSIUNG
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.
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Patent Agency Ranking
公开(公告)号：US20210072212A1
公开(公告)日：2021-03-11
申请号：US16949871
申请日：2020-11-18
Applicant: VIAVI Solutions Inc.
Inventor： Nada A. O'BRIEN , Changmeng HSIUNG
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.
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公开(公告)号：US20200025739A1
公开(公告)日：2020-01-23
申请号：US16587260
申请日：2019-09-30
Applicant: VIAVI Solutions Inc.
Inventor： Nada A. O'BRIEN , Changmeng HSIUNG
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.
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18.发明申请公开(公告)号：US20200018691A1
公开(公告)日：2020-01-16
申请号：US16032978
申请日：2018-07-11
Applicant: VIAVI Solutions Inc.
Inventor： Lan SUN , Changmeng HSIUNG
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.
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公开(公告)号：US20190236333A1
公开(公告)日：2019-08-01
申请号：US16130732
申请日：2018-09-13
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Christopher G. PEDERSON , Marc K. VON GUNTEN , Lan SUN
Abstract: A device may receive information identifying results of a set of spectroscopic measurements of a training set of known samples and a validation set of known samples. The device may generate a classification model based on the information identifying the results of the set of spectroscopic measurements, wherein the classification model includes at least one class relating to a material of interest for a spectroscopic determination, and wherein the classification model includes a no-match class relating to at least one of at least one material that is not of interest or a baseline spectroscopic measurement. The device may receive information identifying a particular result of a particular spectroscopic measurement of an unknown sample. The device may determine whether the unknown sample is included in the no-match class using the classification model. The device may provide output indicating whether the unknown sample is included in the no-match class.
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公开(公告)号：US20180031421A1
公开(公告)日：2018-02-01
申请号：US15614110
申请日：2017-06-05
Applicant: Viavi Solutions Inc.
Inventor： Changmeng HSIUNG , Lan SUN , Christopher G. PEDERSON
CPC classification number: G01J3/28 , G01J3/027 , G01J3/0297 , G01J2003/2866 , G01J2003/2873 , G01N21/274 , G01N2201/127 , G06F17/50
Abstract: A device may obtain a master calibration set, associated with a master calibration model of a master instrument, that includes spectra, associated with a set of samples, generated by the master instrument. The device may identify a selected set of master calibrants based on the master calibration set. The device may obtain a selected set of target calibrants that includes spectra, associated with the subset of the set of samples, generated by the target instrument. The device may create a transfer set based on the selected set of master calibrants and the selected set of target calibrants. The device may create a target calibration set, corresponding to the master calibration set, based on the transfer set. The device may generate, using an optimization technique associated with the transfer set and a support vector regression modeling technique, a transferred calibration model, for the target instrument, based on the target calibration set.
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