Christopher W Moody

US Patent:

7954007, May 31, 2011

Filed:

Oct 23, 2006

Appl. No.:

11/551961

Inventors:

Henry G. McMillan - Raleigh NC, US
Christopher C. Moody - Durham NC, US
Challis L. Purrington - Raleigh NC, US
Terry L. Sawyers - Raleigh NC, US
Michael L. Scollard - Raleigh NC, US
Richard P. Southers - Durham NC, US
Troy S. Voytko - Apex NC, US
Christopher C. West - Raleigh NC, US
Christopher L. Wood - Austin TX, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 11/00

US Classification:

714 31

Abstract:

The present invention is directed to the detection of faulty CPU heat sink coupling during system power-up. A method in accordance with an embodiment of the present invention includes: monitoring a slope of a CPU temperature rise from initial system power-up; determining if the slope of the CPU temperature rise exceeds an expected value; and in the case that the slope of the CPU temperature rise exceeds the expected value, indicating an existence of a possible fault (PFA) related to a heat sink coupled to the CPU.

US Patent:

20180285355, Oct 4, 2018

Filed:

Mar 29, 2017

Appl. No.:

15/472430

Inventors:

- Franklin TN, US
Sean Daniel Reisz - Tucker GA, US
Matthew McCawley - Marietta GA, US
Christopher Wavil Moody - Rockmart GA, US
Dimuthu A. Wijetilleke - Atlanta GA, US

Assignee:

Experian Health, Inc. - Franklin TN

International Classification:

G06F 17/30

Abstract:

A request for a most reliable demographic fields data for a selected demographic field associated with an entity may be received at an entity matching system. A plurality of records associated with the entity may be received at the entity matching system. Each of the plurality of records may include at least one demographic field. A demographic field corresponding to the selected demographic field may be identified from the at least one demographic field for each of the plurality of records. A reliability score may be determined for the corresponding demographic field for each of the plurality of records. The corresponding demographic field with the highest reliability score may be determined as the most reliable demographic fields data.