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公开(公告)号：US11200352B2
公开(公告)日：2021-12-14
申请号：US16328767
申请日：2017-07-31
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Jennifer F. Schumacher , Saber Taghvaeeyan , Ronald D. Jesme , Andrew P. Bonifas , Nicholas G. Amell , Brock A. Hable , Golshan Golnari
IPC: G06F30/13 , G06F30/18 , G06F16/901 , G06F113/14
Abstract: Systems and methods are provided for optimally determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for 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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公开(公告)号：US20210267488A1
公开(公告)日：2021-09-02
申请号：US17252415
申请日：2019-07-01
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Saber Taghvaeeyan , Golshan Golnari , Mojtaba Kadkhodaie Elyaderani , Robert W. Shannon , Roger W. Barton , Deepti Pachauri
Abstract: Systems and methods for detecting the quality of signals captured by a sensor device monitoring a biological function. Sensor data associated with the sensor device is received, the sensor data representing time-series measurement samples of one or more parameters associated with the biological function, the sensor data including usable and unusable samples of the time-series measurements. Data representing two or more features of samples of the time-series measurements is extracted and filtered to reduce outliers in the extracted data based on an expected outlier ratio. A machine learning algorithm is then trained to identify events based on the filtered extracted data.
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公开(公告)号：US10713396B2
公开(公告)日：2020-07-14
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：US10192003B2
公开(公告)日：2019-01-29
申请号：US14479692
申请日：2014-09-08
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：US09626462B2
公开(公告)日：2017-04-18
申请号：US14321318
申请日：2014-07-01
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 , 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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Patent Agency Ranking
公开(公告)号：US12023149B2
公开(公告)日：2024-07-02
申请号：US17252415
申请日：2019-07-01
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor： Saber Taghvaeeyan , Golshan Golnari , Mojtaba Kadkhodaie Elyaderani , Robert W. Shannon , Roger W. Barton , Deepti Pachauri
CPC classification number: A61B5/113 , A61B5/7225 , A61B5/7267 , A61B5/7282
Abstract: Systems and methods for detecting the quality of signals captured by a sensor device monitoring a biological function. Sensor data associated with the sensor device is received, the sensor data representing time-series measurement samples of one or more parameters associated with the biological function, the sensor data including usable and unusable samples of the time-series measurements. Data representing two or more features of samples of the time-series measurements is extracted and filtered to reduce outliers in the extracted data based on an expected outlier ratio. A machine learning algorithm is then trained to identify events based on the filtered extracted data.
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公开(公告)号：US11250177B2
公开(公告)日：2022-02-15
申请号：US16328179
申请日：2017-07-31
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
IPC: G06F30/13 , G06Q50/06 , G06F30/18 , F15B19/00 , G06F30/20 , G06F16/901 , E03B11/02 , G01M3/28 , G01N21/94 , G01N33/00
Abstract: Systems and methods are provided for optimally determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for 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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公开(公告)号：US20200256910A1
公开(公告)日：2020-08-13
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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19.发明申请公开(公告)号：US20190236219A1
公开(公告)日：2019-08-01
申请号：US16328179
申请日：2017-07-31
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
IPC: G06F17/50 , G06F16/901
CPC classification number: G06F17/5004 , G06F16/9024 , G06Q50/06
Abstract: Systems and methods are provided for optimally determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for 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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20.发明申请公开(公告)号：US20190228116A1
公开(公告)日：2019-07-25
申请号：US16328767
申请日：2017-07-31
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
IPC: G06F17/50 , G06F16/901
Abstract: Systems and methods are provided for optimally determining sensor or infrastructure placement in a fluid network, for determining an anomaly of interest in the fluid network, and for 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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