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公开(公告)号：US20240127078A1
公开(公告)日：2024-04-18
申请号：US17247518
申请日：2019-07-02
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Mojtaba Kadkhodaie Elyaderani , Golshan Golnari , Saber Taghvaeeyan , Robert W. Shannon , Roger W. Barton , Deepti Pachauri
Abstract: Systems and methods for transferring learning in sensor devices. Historical time-series measurement samples of one or more parameters associated with a biological function being monitored by the sensor device are received and assigned to clusters. Feature data extracted from the historical time-series measurement samples are used to generate cluster-specific source-domain classifiers for each cluster. Unlabeled time-series measurement samples of the one or more parameters associated with the biological function are received. A cluster-identifier is assigned to each unlabeled target-domain sample, the cluster-identifier including information identifying a cluster-specific source-domain classifier associated with the unlabeled target-domain sample. Labeled time-series measurement samples of the one or more parameters associated with the biological function are received, feature data is extracted from the labeled samples and cluster-specific target-domain classifiers are generated for each cluster based on the source-domain classifiers and the feature data extracted from the labeled samples.
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公开(公告)号：US10410346B2
公开(公告)日：2019-09-10
申请号：US15448978
申请日：2017-03-03
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Evan J. Ribnick , Ravishankar Sivalingam , Aya Eid , Theresa M. Meyer , Golshan Golnari , Anthony J. Sabelli
IPC: G06K9/00 , G06T7/00 , G06F17/50 , A61C9/00 , A61C19/04 , G06T7/11 , G06T13/20 , G06T15/08 , G06T19/20 , A61B5/00 , A61C7/00
Abstract: A method for detecting tooth wear using digital 3D models of teeth taken at different times. The digital 3D models of teeth are segmented to identify individual teeth within the digital 3D model. The segmentation includes performing a first segmentation method that over segments at least some of the teeth within the model and a second segmentation method that classifies points within the model as being either on an interior of a tooth or on a boundary between teeth. The results of the first and second segmentation methods are combined to generate segmented digital 3D models. The segmented digital 3D models of teeth are compared to detect tooth wear by determining differences between the segmented models, where the differences relate to the same tooth to detect wear on the tooth over time.
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公开(公告)号：US11847661B2
公开(公告)日：2023-12-19
申请号：US16766118
申请日：2018-11-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nicholas A. Asendorf , Jennifer F. Schumacher , Robert D. Lorentz , James B. Snyder , Golshan Golnari , Muhammad Jamal Afridi
IPC: G06Q30/00 , G06Q30/018 , G06T7/73 , G06F16/55 , G06F16/53 , G06N20/00 , G06F16/56 , G06N5/04 , G06T7/00 , G06F18/24 , G06F18/214 , G06V10/764 , G06V10/44 , G06V10/50 , G06V10/46
CPC classification number: G06Q30/0185 , G06F16/53 , G06F16/55 , G06F16/56 , G06F18/214 , G06F18/24 , G06N5/04 , G06N20/00 , G06T7/0004 , G06T7/73 , G06V10/449 , G06V10/50 , G06V10/764 , G06T2200/24 , G06T2207/30108 , G06V10/467
Abstract: Systems and methods for authenticating material samples are provided. Digital images of the samples are processed to extract computer-vision features, which are used to train a classification algorithm along with location and optional time information. The extracted features/information of a test sample are evaluated by the trained classification algorithm to identify the test sample. The results of the evaluation are used to track and locate counterfeits or authentic products.
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公开(公告)号：US20220243943A1
公开(公告)日：2022-08-04
申请号：US17605393
申请日：2020-04-22
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Saber Taghvaeeyan , Robert W. Shannon , Deepti Pachauri , Brian L. Linzie , Golshan Golnari , Mojtaba Kadkhodaie Elyaderani , Nicolas A. Echeverri
IPC: F24F11/39 , F24F11/58 , F24F11/63 , G05B19/042
Abstract: Systems and methods for monitoring the condition of an air filter installed in an HVAC system and for monitoring the condition of the HVAC system. The monitoring system includes a processing unit configured to receive data representative of at least a first temporal parameter of the HVAC system. The processing unit can process the data to obtain an indication of the condition of the air filter and can also process the data to obtain an indication of the condition of the HVAC system.
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公开(公告)号：US11002630B2
公开(公告)日：2021-05-11
申请号：US16327161
申请日：2017-08-18
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Jennifer F. Schumacher , Saber Taghaeeyan , Ronald D. Jesme , Andrew P. Bonifas , Nicholas G. Amell , Brock A. Hable , Golshan Golnari
Abstract: Systems and methods are provided for determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for optimally determining sensor coverage in a fluid network, which are based on a model of the fluid network represented by a directed graph.
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Patent Agency Ranking
公开(公告)号：US11816946B2
公开(公告)日：2023-11-14
申请号：US17247773
申请日：2019-06-26
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nicholas A. Asendorf , Jennifer F. Schumacher , Muhammad Jamal Afridi , Himanshu Nayar , Golshan Golnari
IPC: G07D7/206 , G06T7/00 , G06F18/22 , G06F18/214 , G06F18/2135 , G06F18/2411 , G06V10/82
CPC classification number: G07D7/206 , G06F18/214 , G06F18/2135 , G06F18/22 , G06F18/2411 , G06T7/0002 , G06V10/82 , G06T2200/24 , G06T2207/20081 , G06T2207/20084
Abstract: Systems and methods for detecting/identifying novel material samples are provided. A test sample image is processed with a trained transformation function to obtain a transformed matrix. A measure of similarity of the test image based on the transformed matrix is compared to a threshold to determine whether the test sample is novel to a batch of material samples that are provided to train the transformation function.
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公开(公告)号：US20210327041A1
公开(公告)日：2021-10-21
申请号：US17247773
申请日：2019-06-26
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Nicholas A. Asendorf , Jennifer F. Schumacher , Muhammad Jamal Afridi , Himanshu Nayar , Golshan Golnari
Abstract: Systems and methods for detecting/identifying novel material samples are provided. A test sample image is processed with a trained transformation function to obtain a transformed matrix. A measure of similarity of the test image based on the transformed matrix is compared to a threshold to determine whether the test sample is novel to a batch of material samples that are provided to train the transformation function.
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公开(公告)号：US11143685B2
公开(公告)日：2021-10-12
申请号：US16647539
申请日：2018-10-31
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Golshan Golnari , Saber Taghvaeeyan , Jennifer F. Schumacher
IPC: G01R31/08
Abstract: The present subject matter enables early or real-time detection of anomalies in electric networks. In various applications, the system detects anomalies, such as electricity theft, electricity surge, etc. It solves the difficult-to-detect problems in an electrical network, where anomalies like electricity theft or electrical surge may not be found until it has raised numerous concerns or complaints, or has created a significant impact on infrastructure functionality, service quality, or cost. In addition, the present subject matter decreases the requirement for large number of sensors and provides more cost effective and scalable solutions. The present subject matter provides a method for determining where a detected anomaly is occurring within an electrical network. Variations of the present subject matter include anomaly identification systems for addressing anomalies in large networks. Various applications of the present subject matter provide guidance or effective placement of sensors in the electrical network.
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公开(公告)号：US20190114374A1
公开(公告)日：2019-04-18
申请号：US16217094
申请日：2018-12-12
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Evan J. Ribnick , Ravishankar Sivalingam , Shannon D. Scott , Golshan Golnari , Aya Eid
Abstract: Methods for aligning a digital 3D model of teeth represented by a 3D mesh to a desired orientation within a 3D coordinate system. The method includes receiving the 3D mesh in random alignment and changing an orientation of the 3D mesh to align the digital 3D model of teeth with a desired axis in the 3D coordinate system. The methods can also detect a gum line in the digital 3D model to remove the gingiva from the model.
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公开(公告)号：US20170178327A1
公开(公告)日：2017-06-22
申请号：US15448978
申请日：2017-03-03
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Guruprasad Somasundaram , Evan J. Ribnick , Ravishankar Sivalingam , Aya Eid , Theresa M. Meyer , Golshan Golnari , Anthony J. Sabelli
CPC classification number: G06T7/0016 , A61B5/0088 , A61B5/4547 , A61C7/002 , A61C9/0053 , A61C19/04 , G06F17/50 , G06K9/00362 , G06K2209/055 , G06T7/11 , G06T13/20 , G06T15/08 , G06T19/20 , G06T2200/04 , G06T2207/30036 , G06T2210/41
Abstract: A method for detecting tooth wear using digital 3D models of teeth taken at different times. The digital 3D models of teeth are segmented to identify individual teeth within the digital 3D model. The segmentation includes performing a first segmentation method that over segments at least some of the teeth within the model and a second segmentation method that classifies points within the model as being either on an interior of a tooth or on a boundary between teeth. The results of the first and second segmentation methods are combined to generate segmented digital 3D models. The segmented digital 3D models of teeth are compared to detect tooth wear by determining differences between the segmented models, where the differences relate to the same tooth to detect wear on the tooth over time.
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