Hui M Lin

US Patent:

7555499, Jun 30, 2009

Filed:

Sep 23, 2004

Appl. No.:

10/950023

Inventors:

Vipul Manubhai Shah - Foster City CA, US
John Mark Beresniewicz - San Mateo CA, US
Nauman Ahmed Chaudhry - New Orleans LA, US
Kyle Hailey - San Francisco CA, US
Hui Lin - Sunnyvale CA, US
Hsiao-te Su - Milpitas CA, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 7/00
G06F 17/00
G06F 12/00
G06F 17/30
G06F 11/00

US Classification:

707103R, 707101, 707202, 714 1, 714 2, 714 15, 714 25, 714 38, 714 39, 714 42, 714 43, 714 47, 714 48, 714 56

Abstract:

A method and apparatus for diagnosing database performance problems using a plurality of wait classes is provided. A set of statistical data that describes current activity within a database system is periodically retrieved. The set of statistical data may include information about the current activity of each user session connected to the database system. Thereafter, a set of cumulative statistical data that describes activity in the database system over a period of time is updated to reflect the retrieved set of statistical data. The set of cumulative statistical data includes statistics associated with each of a plurality of wait classes. A graphical user interface that displays the set of cumulative statistical data may be presented to a user. The graphical user interface allows the user to quickly ascertain the nature of the database performance problems by providing a view of the set of cumulative statistical data.

US Patent:

20130238336, Sep 12, 2013

Filed:

Dec 26, 2012

Appl. No.:

13/726954

Inventors:

Francoise Beaufays - Mountain View CA, US
Brian Strope - Palo Alto CA, US
Hui Lin - Seattle WA, US
Jui-Ting Huang - Fremont CA, US

International Classification:

G10L 15/00

US Classification:

704255

Abstract:

Speech recognition systems may perform the following operations: receiving audio; recognizing the audio using language models for different languages to produce recognition candidates for the audio, where the recognition candidates are associated with corresponding recognition scores; identifying a candidate language for the audio; selecting a recognition candidate based on the recognition scores and the candidate language; and outputting data corresponding to the selected recognition candidate as a recognized version of the audio.