Patents by Inventor Will Baylor SNIPES

Will Baylor SNIPES 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).

  • System and method for effort estimation
    Patent number: 12061460
    Abstract: A method (600) for configuring one or more components of a process plant includes receiving (602) a change request (226) and receiving (604) a system dependency graph (228) corresponding to the process plant. The method (600) further includes selecting (606) a subset of components (230) among the plurality of components based on configuration of the process plant and identifying (608) a subset of nodes (232) among the plurality of nodes by traversing a path in the system dependent graph (228). The method (600) also includes computing (610) an impact parameter (234) value based on a traversed path and computing (612) a plurality of change parameter values (236) based on the traversed path. The method (600) further includes determining (614) an effort estimate (210) based on the impact parameter (234) value and the plurality of change parameter values (236) using a machine learning technique.
    Type: Grant
    Filed: October 23, 2019
    Date of Patent: August 13, 2024
    Assignee: ABB Schweiz AG
    Inventors: Raoul Jetley, Will Baylor Snipes, Srini Ramaswamy
  • SYSTEM AND METHOD FOR EFFORT ESTIMATION
    Publication number: 20220066423
    Abstract: A method (600) for configuring one or more components of a process plant includes receiving (602) a change request (226) and receiving (604) a system dependency graph (228) corresponding to the process plant. The method (600) further includes selecting (606) a subset of components (230) among the plurality of components based on configuration of the process plant and identifying (608) a subset of nodes (232) among the plurality of nodes by traversing a path in the system dependent graph (228). The method (600) also includes computing (610) an impact parameter (234) value based on a traversed path and computing (612) a plurality of change parameter values (236) based on the traversed path. The method (600) further includes determining (614) an effort estimate (210) based on the impact parameter (234) value and the plurality of change parameter values (236) using a machine learning technique.
    Type: Application
    Filed: October 23, 2019
    Publication date: March 3, 2022
    Inventors: Raoul JETLEY, Will Baylor SNIPES, Srini RAMASWAMY