Stephanie H Yang

US Patent:

8425683, Apr 23, 2013

Filed:

Mar 8, 2010

Appl. No.:

12/719350

Inventors:

Eric Yang - Closter NJ, US
Marion Recane - Cypress TX, US
Stephanie H. Yang - Closter NJ, US

Assignee:

Acoustic Systems, Inc. - Houston TX
Acoustic Systems, Inc. - Nanuet NY

International Classification:

B08B 3/12
B08B 9/04

US Classification:

134 1, 134 8, 134 42

Abstract:

A method for tracking a scraper within a pipeline has the steps of moving the scraper along a path in the pipeline such that the scraper produces an acoustic signal, sensing the acoustic signal as produced by the scraper by at least a pair of acoustic sensors positioned in spaced relation along the pipeline, time-stamping the sensed acoustic signal, and calculating a location of the scraper based on the time-stamped acoustic signal. The acoustic signal can be a transient pressure wave produced by the movement of the scraper or a pressure signal produced by a mechanism positioned on the scraper.

US Patent:

20110093220, Apr 21, 2011

Filed:

Apr 15, 2010

Appl. No.:

12/760974

Inventors:

Eric Yang - Closter NJ, US
Marion Recane - Cypress TX, US
Stephanie H. Yang - Closter NJ, US

Assignee:

ACOUSTIC SYSTEMS,Inc. - Houston TX
ACOUSTIC SYSTEMS, Inc. - Nanuel NY

International Classification:

G01M 3/24

US Classification:

702 51

Abstract:

A system for detecting and locating leaks includes a pipeline, strain sensors positioned on the external surface of the pipeline, acoustic pressure sensors positioned at intervals along the pipeline, local processors connected to the strain sensors and acoustic pressure sensors, and a central processor connected to the local processors. The strain sensors measure a strain on the external surface of the pipeline indicative of changes in the pressure of the fluid within the pipeline. The acoustic pressure sensors sense acoustic signals within the pipline. Sensed acoustic pressure signals and sensed strain measurements are compared to each other and to stored profiles to detect and locate leaks.

US Patent:

20130276250, Oct 24, 2013

Filed:

Apr 1, 2013

Appl. No.:

13/854457

Inventors:

Eric Yang - Closter NJ, US
Marion Recane - Cypress TX, US
Stephanie H. Yang - Closter NJ, US

Assignee:

ACOUSTIC SYSTEMS, Inc. - Nanuet NY
ACOUSTIC SYSTEMS, Inc. - Houston TX

International Classification:

F16L 55/48

US Classification:

15104063

Abstract:

A tracking system for use with a pipeline includes a scraper having signal generation capability for generating acoustic signals, a plurality of acoustic pressure sensors positioned at intervals along the path traveled by the scraper, and a plurality of local processors positioned at intervals along the path traveled by the scraper. Each of the local processors is m communication with a respective acoustic pressure sensor. A central processor is in communication with the local processors and determines the location of the scraper using time-stamped acoustic signals received by the pressure sensors and a speed of sound, in a fluid within the pipeline.

US Patent:

20130279296, Oct 24, 2013

Filed:

Apr 5, 2013

Appl. No.:

13/857569

Inventors:

Eric Yang - Closter NJ, US
Marion Recane - Cypress TX, US
Stephanie H. Yang - Closter NJ, US

Assignee:

ACOUSTIC SYSTEMS, Inc. - Nanuet NY
ACOUSTIC SYSTEMS, Inc. - Houston TX

International Classification:

G01S 3/80
F16L 55/48

US Classification:

367118

Abstract:

A tracking system for use with a pipeline includes a scraper having signal generation capability for generating acoustic signals, a plurality of acoustic pressure sensors positioned at intervals along the path traveled by the scraper, and a plurality of local processors positioned at intervals along the path traveled by the scraper. Each of the local processors is in communication with a respective acoustic pressure sensor. A central processor is in communication with the local processors and determines the location of the scraper using time-stamped acoustic signals received by the pressure sensors and a speed of sound in a fluid within the pipeline.

US Patent:

20190287121, Sep 19, 2019

Filed:

Mar 19, 2019

Appl. No.:

16/357749

Inventors:

- New York NY, US
Stephanie Yang - New York NY, US
Enrique Cruz - New York NY, US

International Classification:

G06Q 30/02
H04W 4/021
H04W 4/33
G06F 17/18
G06N 20/00

Abstract:

Examples of the present disclosure describe systems and methods for visit detection. More particularly, the described systems and methods relate to improving venue coverage distribution as applied to visit detection models. In aspects, the visit detection system/model of a mobile device may predict that a user is visiting a supervenue based on a set of venue visit probabilities. The visit probability for the supervenue may be redistributed among the subvenues of the supervenue to create a subvenue visit probability distribution. Based on the probability redistribution, the visit detection system/model may predict speculatively that the user is visiting (or has checked into) a particular subvenue. Examples of the present disclosure further described an importance reweighting process may be used to correct the bias in data sets used to train/configure the visit detection system/model.

US Patent:

20180080793, Mar 22, 2018

Filed:

Aug 29, 2017

Appl. No.:

15/689683

Inventors:

- New York NY, US
Enrique Cruz - New York NY, US
Aaron Mitchell - New York NY, US
Stephanie Yang - New York NY, US

Assignee:

Foursquare Labs, Inc. - New York NY

International Classification:

G01C 21/36
G06F 17/30
H04W 4/04
G06N 7/00

Abstract:

Examples of the present disclosure describe systems and methods for venue detection. In aspects, a mobile device comprising a set of sensors may collect and store sensor data from in response to a detected movement event or user interaction data. The sensor data may be used to generate a set of candidate venues corresponding to the location of the mobile device. The candidate venues may be provided to a venue detection system. The venue detection system may process the candidate venues to generate a set of features. The set of features may be applied to, and/or used to generate, one or more probabilistic models. The probabilistic models may generate confidence metrics for each of the candidate venues. In some aspects, the top ‘N’ venues may be selected from the set. The top ‘N’ venues may then be presented to the user and/or used to effect one or more actions.