Patents by Inventor Fernando Amat Gil

Fernando Amat Gil has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system for evaluating media-playing sets
    Patent number: 7647326
    Abstract: An exemplary method and system for evaluating media-playing sets evaluates the likelihood of a selected performance condition occurring in a subject set including based on source data automatically collected from a sample group of the sets, systematic analysis of this data to form a decision tree model revealing prescribed values for characteristic input parameters that are determined to best relate to the condition, and automated comparison of the respective parameter values of the subject set to these prescribed values in order to screen each subject set for the likelihood of the condition occurring within a specified timeframe, which screening can be repeated for different conditions and timeframes using different decision tree models.
    Type: Grant
    Filed: January 29, 2007
    Date of Patent: January 12, 2010
    Assignee: Sharp Laboratories of America, Inc.
    Inventors: Vishnu Kumar Shivaji-Rao, Fernando Amat Gil
  • User intent prediction
    Publication number: 20080228685
    Abstract: In a process comprising a sequence of elections, a future election intended by a user is predicted from a frequent sequence of elections by the user and a frequent sequence of elections by a plurality of other users of the process or device.
    Type: Application
    Filed: March 13, 2007
    Publication date: September 18, 2008
    Inventors: Vishnu Kumar Shivaji-Rao, Fernando Amat Gil
  • Method and system for evaluating media-playing sets
    Publication number: 20080183705
    Abstract: An exemplary method and system for evaluating media-playing sets evaluates the likelihood of a selected performance condition occurring in a subject set including based on source data automatically collected from a sample group of the sets, systematic analysis of this data to form a decision tree model revealing prescribed values for characteristic input parameters that are determined to best relate to the condition, and automated comparison of the respective parameter values of the subject set to these prescribed values in order to screen each subject set for the likelihood of the condition occurring within a specified timeframe, which screening can be repeated for different conditions and timeframes using different decision tree models.
    Type: Application
    Filed: January 29, 2007
    Publication date: July 31, 2008
    Inventors: Vishnu Kumar Shivaji-Rao, Fernando Amat Gil