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公开(公告)号：US20210151165A1
公开(公告)日：2021-05-20
申请号：US17248488
申请日：2021-01-27
Applicant: VIAVI Solutions, Inc.
Inventor： Nada A. O'BRIEN , Curtis R. HRUSKA , Marc K. VON GUNTEN , Christopher G. PEDERSON , Changmeng HSIUNG
IPC: G16H20/30 , G16H40/63 , G16H50/20 , G16H40/67 , G16H20/60 , A61B5/00 , A61B5/0205 , A61B5/11 , A61B5/145 , G01N21/27 , G01N33/02 , G06F3/0484
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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公开(公告)号：US20200018648A1
公开(公告)日：2020-01-16
申请号：US16582538
申请日：2019-09-25
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Lan SUN , Christopher G. PEDERSON
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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公开(公告)号：US20190234866A1
公开(公告)日：2019-08-01
申请号：US16034901
申请日：2018-07-13
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG
CPC classification number: G01N21/255 , G01N21/27 , G01N21/359 , G01N2021/1748 , G01N2201/129 , G06K9/00536 , G06K9/6269 , G06K9/6284
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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公开(公告)号：US20180059084A1
公开(公告)日：2018-03-01
申请号：US15401669
申请日：2017-01-09
Applicant: Viavi Solutions Inc.
Inventor： Nada A. O'BRIEN , Changmeng HSIUNG
CPC classification number: G01N33/12 , G01N21/27 , G06K9/6228 , G06K9/6269 , G06K9/6807
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：US20230288322A1
公开(公告)日：2023-09-14
申请号：US18321140
申请日：2023-05-22
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Christopher G. PEDERSON , Peng ZOU , Lan SUN
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.
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Patent Agency Ranking
公开(公告)号：US20210034838A1
公开(公告)日：2021-02-04
申请号：US17072437
申请日：2020-10-16
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Christopher G. PEDERSON , Marc K. VON GUNTEN , Lan SUN
IPC: G06K9/00 , G06K9/20 , G06K9/62 , G16C20/70 , G01N21/35 , G01N21/359 , G16C20/20 , G06N20/00 , G01J3/10 , G01N21/25
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：US20250125031A1
公开(公告)日：2025-04-17
申请号：US18928371
申请日：2024-10-28
Applicant: VIAVI Solutions Inc.
Inventor： Nada A. O'BRIEN , Curtis R. HRUSKA , Marc K. VON GUNTEN , Christopher G. PEDERSON , Changmeng HSIUNG
IPC: G16H20/30 , A61B5/00 , A61B5/0205 , A61B5/021 , A61B5/024 , A61B5/0531 , A61B5/11 , A61B5/145 , G01N21/27 , G01N33/02 , G06F3/04842 , 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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公开(公告)号：US20210219857A1
公开(公告)日：2021-07-22
申请号：US17301521
申请日：2021-04-06
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Lan SUN
Abstract: A device may obtain raw heartbeat data associated with a plurality of wavelength channels. The device may generate, based on a feature vector transformation, a plurality of feature vectors, each corresponding to a respective one of the plurality of wavelength channels. The device may identify a set of selected feature vectors, from the plurality of feature vectors, based on a plurality of squares of correlation coefficients, each associated with a respective pair of the plurality of feature vectors. The device may generate, based on a principal component analysis, an average feature vector of the set of selected feature vectors. The device may determine initial heartbeat cycle data based on the average feature vector. The device may correct heartbeat cycle gaps in the initial heartbeat cycle data in order to determine final heartbeat cycle data.
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公开(公告)号：US20210215597A1
公开(公告)日：2021-07-15
申请号：US17301234
申请日：2021-03-30
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG
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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公开(公告)号：US20200178819A1
公开(公告)日：2020-06-11
申请号：US16210740
申请日：2018-12-05
Applicant: VIAVI Solutions Inc.
Inventor： Changmeng HSIUNG , Lan SUN
Abstract: A device may obtain raw heartbeat data associated with a plurality of wavelength channels. The device may generate, based on a feature vector transformation, a plurality of feature vectors, each corresponding to a respective one of the plurality of wavelength channels. The device may identify a set of selected feature vectors, from the plurality of feature vectors, based on a plurality of squares of correlation coefficients, each associated with a respective pair of the plurality of feature vectors. The device may generate, based on a principal component analysis, an average feature vector of the set of selected feature vectors. The device may determine initial heartbeat cycle data based on the average feature vector. The device may correct heartbeat cycle gaps in the initial heartbeat cycle data in order to determine final heartbeat cycle data.
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