Jennifer L Schumacher

US Patent:

20210327041, Oct 21, 2021

Filed:

Jun 26, 2019

Appl. No.:

17/247773

Inventors:

- St. Paul MN, US
Jennifer F. Schumacher - Woodbury MN, US
Muhammad Jamal Afridi - Woodbury MN, US
Himanshu Nayar - St. Paul MN, US
Golshan Golnari - Maple Grove MN, US

International Classification:

G06T 7/00
G06K 9/62
G06K 9/46
G06N 3/02
G06N 20/10

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.

US Patent:

20210293736, Sep 23, 2021

Filed:

Jun 9, 2021

Appl. No.:

17/303867

Inventors:

- St. Paul MN, US
Christopher R. Yungers - Saint Paul MN, US
Jennifer F. Schumacher - Woodbury MN, US

International Classification:

G01N 27/20
G01N 33/38

Abstract:

The disclosure describes techniques for detecting a crack or defect in a material. The technique may include applying an electrical signal to a first electrode pair electrically coupled to the material. The technique also may include, while applying the electrical signal to the first electrode pair, determining a measured voltage between a second, different electrode pair. At least one electrode of the second, different electrode pair is electrically coupled to the material. The technique may further include determining a corrected measured voltage by suppressing a thermally induced voltage from the measured voltage and determining whether the material includes a crack or other defect based on the corrected measured voltage.

US Patent:

20210208094, Jul 8, 2021

Filed:

Mar 24, 2021

Appl. No.:

17/301082

Inventors:

- St. Paul MN, US
Christopher R. Yungers - Saint Paul MN, US
Eric M. Chinnock - Chanhassen MN, US
Jennifer F. Schumacher - Woodbury MN, US

International Classification:

G01N 27/20
G01N 27/04

Abstract:

A technique may include applying a first electrical signal to a first pair of drive electrodes, and, while applying the first electrical signal to the first pair of drive electrodes, determining a first measured voltage using a first measurement electrode. The technique further may include applying a second electrical signal to a second pair of drive electrodes, and, while applying the second electrical signal to the second pair of drive electrodes, determining a second measured voltage using a second, different measurement electrode. The first pair of drive electrodes, the second pair of drive electrodes, the first measurement electrode, and the second, different measurement electrode may from a set of N electrodes electrically coupled to the material. The technique also may include determining whether the material includes a crack or other defect based on a comparison between the first measured voltage and the second measured voltage.

US Patent:

20210104142, Apr 8, 2021

Filed:

Mar 29, 2018

Appl. No.:

16/603256

Inventors:

- Tel Aviv, IL
Nicholas Andrew ASENDORF - St. Paul MN, US
Deepti PACHAURI - St. Paul MN, US
Gautam SINGH - St, Paul MN, US
Guruprasad SOMASUNDARAM - Minneapolis MN, US
Jennifer Frances SCHUMACHER - Woodbury MN, US
Nitsan BEN-GAL NGUYEN - St. Paul MN, US
Robert W. SHANNON - Roseville MN, US
Saber TAGHVAE EVAN - St, Paul MN, US
Arash SANGARI - St. Paul MN, US
Himanshu NAYAR - St. Paul MN, US
Mojtaba Kadkhodaie ELYADERANI - St, Paul MN, US
James Bevan SNYDER - St, Paul MN, US
James William HOWARD - St. Paul MN, US
David Solomon SEGAL - St. Paul MN, US

International Classification:

G08B 21/02

Abstract:

Example techniques of this disclosure are directed determining one or more values that represent a monitoring attribute for one or more body-worn tracking devices (BWTDs). In some instances, the techniques include determining a compliance metric that represents a level of compliance for at least one offender. That is, the compliance metric may be a quantitative value that represents whether a user wearing BWTD is complying with established rules or desired behaviors.

US Patent:

20210104143, Apr 8, 2021

Filed:

Mar 29, 2018

Appl. No.:

16/603258

Inventors:

- Tel Aviv, IL
Deepti PACHAURI - St. Paul MN, US
Guru prasad SOM AS U N DA RAM - Minneapolis MI, US
Jennifer Frances SCHUMACHER - Woodbury MN, US
Nitsan BEN-GAL NGUYEN - St. Paul MN, US
Robert W. SHANNON - Roseville MN, US
Saber TAGHVAE EVAN - St, Paul MN, US
Arash SANGARI - St. Paul MN, US
Himanshu NAYAR - St. Paul MN, US
Mojtaba Kad khodaie ELYADERANI - St, Paul MN, US
James Sevan SNYDER - St, Paul MN, US
James William HOWARD - St, Paul MN, US
David SEGAL - St. Paul MN, US

International Classification:

G08B 21/02
G06T 11/00
G08B 7/06

Abstract:

In an example, a system comprises at least one body-worn tracking device (BWTD) configured to transmit location data that indicates a location of the BWTD and a computing system configured to communicate with the at least one BWTD. The computing system is configured to receive the location data from the at least one BWTD, determine, based on a set of weighted filters associated with at least one monitoring attribute, at least one gradient value corresponding to the location data, where the at least one gradient value represents a level of the at least one monitoring attribute, and perform at least one operation based on the at least one gradient value.

US Patent:

20210085221, Mar 25, 2021

Filed:

Dec 8, 2020

Appl. No.:

17/247343

Inventors:

- St. Paul MN, US
James W. Howard - Circle Pines MN, US
Richard J. Moore - Maplewood MN, US
Jennifer F. Schumacher - Woodbury MN, US
Brian J. Stankiewicz - Mahtomedi MN, US

International Classification:

A61B 5/11
A61B 5/00

Abstract:

A device for recognizing activity of an object. The device comprises a housing configured to be attached to the object and a processing unit disposed in the housing comprising a processor and a movement sensor. The movement sensor measures a signal related to movement of the object during a time window. The processor assigns at least one preliminary activity label to the time window based on at least one numerical descriptor computed from the signal. The processor then determines whether to perform additional analysis dependent upon at least the preliminary activity label. The processor then assigns a final activity label to the time window.

US Patent:

20200364513, Nov 19, 2020

Filed:

Nov 15, 2018

Appl. No.:

16/766118

Inventors:

- St. Paul MN, US
Jennifer F. Schumacher - Woodbury MN, US
Robert D. Lorentz - North Oaks MN, US
James B. Snyder - Minneapolis MN, US
Golshan Golnari - Maple Grove MN, US
Muhammad Jamal Afridi - Woodbury MN, US

International Classification:

G06K 9/62
G06T 7/73
G06K 9/46
G06T 7/00
G06F 16/55
G06F 16/56
G06F 16/53
G06N 20/00
G06N 5/04

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.

US Patent:

20200256910, Aug 13, 2020

Filed:

Oct 31, 2018

Appl. No.:

16/647539

Inventors:

- St Paul MN, US
Jennifer F. Schumacher - Woodbury MN, US

International Classification:

G01R 31/08

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.