Yu Zhang

Address:

3339 S Racine Ave, Chicago, IL 60608

Phone:

4153353892

VIN:

1G2ZF58B574269904

Make:

PONTIAC

Model:

G6

Year:

2007

US Patent:

20210053009, Feb 25, 2021

Filed:

Aug 21, 2019

Appl. No.:

16/546460

Inventors:

- Allentown PA, US
ELIZABETH M. D'ADDIO - FOGELSVILLE PA, US
JEFFREY RAYMOND HUFTON - FOGELSVILLE PA, US
YU ZHANG - OREFIELD PA, US

Assignee:

Air Products and Chemicals, Inc. - Allentown PA

International Classification:

B01D 53/04
B01D 53/047

Abstract:

Pressure swing adsorption process for reducing fluctuations in the flow rate of tail gas from the adsorption unit and reducing fluctuations in the stoichiometric oxidant flow rate required to completely combust the tail gas in a reformer furnace. Constant flow rate and constant fuel property can be obtained by intelligent mixing designs.

US Patent:

20180018543, Jan 18, 2018

Filed:

Aug 9, 2017

Appl. No.:

15/672856

Inventors:

- University Park PA, US
Yu Zhang - Chicago IL, US
Stephen Wistar - Lemont PA, US
Michael A. Steinberg - State College PA, US
Jia Li - State College PA, US

International Classification:

G06K 9/66
G01W 1/00
G06T 7/20
G06K 9/46
G06K 9/00

Abstract:

Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

US Patent:

20160104059, Apr 14, 2016

Filed:

Oct 9, 2015

Appl. No.:

14/879758

Inventors:

- University Park PA, US
Yu Zhang - Chicago IL, US
Stephen Wistar - Lemont PA, US
Michael A. Steinberg - State College PA, US
Jia Li - State College PA, US

International Classification:

G06K 9/66
G06K 9/46
G06T 7/20
G06K 9/00

Abstract:

Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.