JARVIS A. WYATT - GREENWOOD VILLAGE CO, US RAOUL C. JOHNSON - COLORADO SPRINGS CO, US NICHOLIS V. BUFMACK - COLORADO SPRINGS CO, US
Assignee:
AMAZING TECHNOLOGIES, LLC - COLORADO SPRINGS CO
International Classification:
H04W 4/12 G10L 15/26 H04M 1/00
US Classification:
455466, 704235, 4555501, 704E15043
Abstract:
A method, system, and computer program product for hands-free messaging in a mobile computing device. A message from a local user is captured and converted to an outgoing text message by a speech recognition module. The outgoing text message is altered to conform with the boundary conditions of short message service (SMS), including a limitation on message length. SMS lingo is also substituted into the outgoing text message. After being verified by the local user, the outgoing text message is sent to a remote user of a mobile computering device. Incoming messages are also received from remote users.
- San Jose CA, US Raoul Christopher Johnson - San Jose CA, US David Tolpin - Ashdod, IL
International Classification:
G06F 11/00 G06F 11/34 G06F 11/30
Abstract:
Computer system drift can occur when a computer system or a cluster of computer systems deviates from ideal and/or desired behavior. In a server farm, for example, many different machines may be identically configured to work in conjunction with each other to provide an electronic service (serving web pages, processing electronic payment transactions, etc.). Over time, however, one or more of these systems may drift from previous behavior. Early drift detection can be important, especially in large enterprises, to avoiding costly downtime. Changes in a computer's configuration files, network connections, and/or executable processes can indicate ongoing drift, but collecting this information at scale can be difficult. By using certain hashing and min-Hash techniques, however, drift detection can be streamlined and accomplished for large scale operations. Velocity of drift may also be tracked using a decay function.