David George Kuhn

US Patent:

20040133131, Jul 8, 2004

Filed:

Jan 3, 2003

Appl. No.:

10/336062

Inventors:

David Kuhn - Cave Creek AZ, US
Daniel Kohn - Cave Creek AZ, US

International Classification:

A61B005/103

US Classification:

600/593000

Abstract:

A system and method of determining a physiological state of a ruminant animal by monitoring the pH and temperature of the animal's stomach. A battery-less, single unit sensor and transmitter is placed within the rumen or reticulum of the animal. pH and temperature measurements are taken and transmitted along with the animal identification code to a wireless receiver. The physiological state of the animal is determined using the mathematically analyzed pH and temperatures.

US Patent:

20140280239, Sep 18, 2014

Filed:

Aug 8, 2013

Appl. No.:

13/962103

Inventors:

- Cary NC, US
David Lee Kuhn - Cave Creek AZ, US
Edward Lew Rowe - Apex NC, US
John Michael Kichak - Raleigh NC, US
Karcsi Fritz Lehr - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 17/30

US Classification:

707749

Abstract:

A method of determining a similarity between records in a data set is provided. Data organized into a plurality of records is received. First characters associated with a field and a first record of the plurality of records are selected. The selected first characters are subdivided into a first sliding series of a defined number of characters. Second characters associated with the field and a second record of the plurality of records are selected. The selected second characters are subdivided into a second sliding series of the defined number of characters. A similarity score between the first sliding series and the second sliding series is calculated. Whether or not the first sliding series and the second sliding series are similar is determined based on the calculated similarity score.

US Patent:

20140280343, Sep 18, 2014

Filed:

Sep 3, 2013

Appl. No.:

14/016689

Inventors:

- Cary NC, US
David Lee Kuhn - Cave Creek AZ, US
Edward Lew Rowe - Apex NC, US
John Michael Kichak - Raleigh NC, US
Karcsi Fritz Lehr - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 17/30

US Classification:

707780

Abstract:

A method of determining a similarity between records in a data set is provided. Data organized into a plurality of records is received. First characters associated with a field and a first record of the plurality of records are selected. The selected first characters are encoded and subdivided into a first sliding series of a defined number of characters. Second characters associated with the field and a second record of the plurality of records are selected. The selected second characters are encoded and subdivided into a second sliding series of the defined number of characters. Whether or not the first sliding series and the second sliding series are similar is determined by comparing the encoded and subdivided first characters to the encoded and subdivided second characters using a fuzzy matching algorithm.