Christopher T Rogers

US Patent:

6956527, Oct 18, 2005

Filed:

Jun 24, 2002

Appl. No.:

10/178871

Inventors:

Christopher B. Rogers - Beaverton OR, US
Stephen R. Wood - Beaverton OR, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G01S003/02

US Classification:

342458

Abstract:

A wireless network having wireless network access devices may determine the location of newly added wireless network access devices.

US Patent:

7346358, Mar 18, 2008

Filed:

Jun 24, 2002

Appl. No.:

10/179941

Inventors:

Stephen R. Wood - Beaverton OR, US
Christopher B. Rogers - Beaverton OR, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

H04Q 7/20

US Classification:

4554561, 455403, 370328

Abstract:

A network may determine the location of network nodes and tracked assets and make location-based decisions.

US Patent:

7573847, Aug 11, 2009

Filed:

Jun 27, 2005

Appl. No.:

11/167979

Inventors:

Christopher B. Rogers - Beaverton OR, US
Jeffrey Schiffer - Palo Alto CA, US
Alan E. Waltho - San Jose CA, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

H04Q 7/00

US Classification:

370329

Abstract:

A system, apparatus, method and article to distribute media information are described. The apparatus may include a transceiver to receive digital information representing media information. The apparatus may further include a processor to couple to the transceiver, the processor to select a modulation technique based on a receiver type and an ultra-high frequency channel using a cognitive algorithm. The transceiver may transmit the media information over the channel using the modulation technique. Other embodiments are described and claimed.

US Patent:

20030235164, Dec 25, 2003

Filed:

Jun 24, 2002

Appl. No.:

10/178880

Inventors:

Christopher Rogers - Beaverton OR, US
Stephen Wood - Beaverton OR, US

Assignee:

Intel Corporation

International Classification:

H04Q007/00
H04Q007/24

US Classification:

370/331000, 370/338000

Abstract:

A network may determine the location of network nodes, create coverage maps, and perform predictive transitions between network access points.

US Patent:

20190355204, Nov 21, 2019

Filed:

May 20, 2019

Appl. No.:

16/417466

Inventors:

- Phoenix AZ, US
Ivy Fern Gilio - Phoenix AZ, US
Biju Kamal Kamaleswaran - Phoenix AZ, US
Christopher Thomas Rogers - Phoenix AZ, US
Kimberly Ann Siddall - Phoenix AZ, US
Sherri Lynne Zendri - Phoenix AZ, US
James M. Stipe - Phoenix AZ, US
Raynie Hosto - Phoenix AZ, US

Assignee:

State of Arizona, Arizona Lottery - Phoenix AZ

International Classification:

G07F 17/32
G06Q 20/28

Abstract:

There is provided a system and method for an alternative and improved game of chance, and an infrastructure to allow customer-originated purchases of games of chance and recordation and authentication of a bearer instrument. In one embodiment, this invention provides the ability to purchase pre-selected randomly generated numbers for games in any common customer areas or checkout lines at authorized retailers. Enhanced gaming options such as parlay and multi-game options are also provided.

US Patent:

20180005135, Jan 4, 2018

Filed:

Jul 1, 2016

Appl. No.:

15/200478

Inventors:

- Santa Clara CA, US
Christopher Boyd Rogers - Beaverton OR, US

International Classification:

G06N 99/00
G06N 5/04
G06F 1/16

Abstract:

System and techniques for an embedded sensor model are described herein. A message that includes a model identifier field, a performance label, a sensor set, and a first user identification field containing a user identification is obtained. A set of feedback packages is obtained. A feedback package includes a value and indicates the user identification. Feedback package values are aggregated to create a weight for the user identification. A training set is applied to a model to create a new model. This includes modifying model training with respect to the sensor set based on the performance label and the weight. The new model may then be transmitted to a user device. The new model providing a sensor classifier for a sensor monitoring user activity.