Yue Wang

US Patent:

6467469, Oct 22, 2002

Filed:

Jan 31, 2001

Appl. No.:

09/773040

Inventors:

Chang Yang - West Bloomfield MI
Gregory R. White - Columbus IN
Robert S. Henrich - Columbus IN
Yue Yun Wang - Columbus IN
John M. Janssen - Nashville IN
Ray C. Hatton - Columbus IN

Assignee:

Cummins, Inc. - Columbus IN

International Classification:

F02M 2507

US Classification:

12356821, 12356816

Abstract:

An EGR valve position control system includes an EGR valve manager responsive to an EGR valve command to drive an EGR valve actuator. The EGR valve manager is operable to schedule control gains as a function of valve actuation direction to provide for faster response during valve closing events. Valve closing events are also staged such that a large valve position step is followed by a steady ramp to the valve closed position to thereby prevent damage to the valve and/or valve seat. The EGR valve manager further includes a prioritized switching feature for strategically switching between closed and open loop control modes, and a forward gain adjustment feature responsive to battery voltage to maintain constant system DC gain under changing battery voltage conditions.

US Patent:

20220318221, Oct 6, 2022

Filed:

Jun 23, 2022

Appl. No.:

17/847902

Inventors:

- Redmond WA, US
Jie SONG - Ann Arbor MI, US
Yue WANG - Bellevue WA, US
Surajit CHAUDHURI - Kirkland WA, US
Vishal Kumar Seshagirirao ANIL - Redmond WA, US
Yaron Y. GOLAND - Seattle WA, US
Gaurav MALHOTRA - Bothell WA, US
Blake LASSITER - Seattle WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06F 16/22
G06F 16/23

Abstract:

Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.