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公开(公告)号：US20200003679A1
公开(公告)日：2020-01-02
申请号：US16448914
申请日：2019-06-21
Applicant: VIAVI Solutions Inc.
Inventor： Chang Meng HSIUNG , Lan SUN
Abstract: A device may receive a master data set for a first spectroscopic model; receive a target data set for a target population associated with the first spectroscopic model to update the first spectroscopic model; generate a training data set that includes the master data set and first data from the target data set; generate a validation data set that includes second data from the target data set and not the master data set; generate, using cross-validation and using the training data set and the validation data set, a second spectroscopic model that is an update of the first spectroscopic model; and provide the second spectroscopic model.
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公开(公告)号：US20240068869A1
公开(公告)日：2024-02-29
申请号：US18503220
申请日：2023-11-07
Applicant: VIAVI Solutions Inc.
Inventor： Chang Meng HSIUNG , Lan SUN , Michael KLIMEK
IPC: G01J3/02
CPC classification number: G01J3/0275 , G01J2003/2833
Abstract: In some implementations, a device may identify, based on spectroscopic data, a pseudo steady state end point indicating an end of a pseudo steady state associated with the blending process. The device may identify a reference block and a test block from the spectroscopic data based on the pseudo steady state end point. The device may generate a raw detection signal associated with the reference block and a raw detection signal associated with the test block. The device may generate a statistical detection signal based on the raw detection signal associated with the reference block and the raw detection signal associated with the test block. The device may determine whether the blending process has reached a steady state based on the statistical detection signal.
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23.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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公开(公告)号：US20220409076A1
公开(公告)日：2022-12-29
申请号：US17823083
申请日：2022-08-30
Applicant: VIAVI Solutions Inc.
Inventor： Chang Meng HSIUNG , Lan SUN , Marc K. VON GUNTEN
IPC: A61B5/024
Abstract: A device may determine end-of-phase information for a plurality of wavelength channels of photoplethysmography (PPG) data. The device may calculate a set of baseline correction points for each wavelength channel of the plurality of wavelength channels. The set of baseline correction points may be calculated based on end-of-phase information for a wavelength channel of the plurality of wavelength channels and PPG data associated with the wavelength channel. The device may perform a baseline correction for each wavelength channel of the plurality of wavelength channels. A baseline correction may be performed for the wavelength channel based on the set of baseline correction points associated with the wavelength channel and the PPG data associated with the wavelength channel. The device may generate a baseline corrected heartbeat profile using a principal component analysis of a result of baseline correcting each wavelength channel of the plurality of wavelength channels.
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公开(公告)号：US20220248994A1
公开(公告)日：2022-08-11
申请号：US17661306
申请日：2022-04-29
Applicant: VIAVI Solutions Inc.
Inventor： Lan SUN , Chang Meng HSIUNG , Babs SOLLER
IPC: A61B5/1455 , A61B5/024
Abstract: A device may identify a peak timestamp and a trough timestamp based on a first principal component of photoplethysmography (PPG) data associated with a plurality of wavelength channels. The device may generate a peak absorption spectrum based on the peak timestamp and the PPG data, and may generate a trough absorption spectrum based on the trough timestamp and the PPG data. The device may determine a measured arterial blood spectrum based on the peak absorption spectrum and the trough absorption spectrum. The device may fit the arterial blood spectrum model to the measured arterial blood spectrum to determine a set of values, each value in the set of values corresponding to a variable in a set of variables. The device may calculate an arterial oxygen saturation value based on one or more values of the set of values.
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Patent Agency Ranking
26.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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27.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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28.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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