Patents by Inventor Keith E. Crowe

Keith E. Crowe 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).

  • Patent number: 8014983
    Abstract: Computer-implemented systems and methods for processing time series data that is indicative of a data generation activity occurring over a period of time. A model specification hierarchical data structure is used for storing characteristics that define a time series model. A fitted model hierarchical data structure stores characteristics that define a fitted time series model. The characteristics of the fitted time series model are defined through an application of the time series model to the time series data.
    Type: Grant
    Filed: June 22, 2010
    Date of Patent: September 6, 2011
    Assignee: SAS Institute Inc.
    Inventors: Keith E. Crowe, Michael J. Leonard
  • Patent number: 8010324
    Abstract: Computer-implemented systems and methods for processing time series data that is indicative of a data generation activity occurring over a period of time. A model specification hierarchical data structure is used for storing characteristics that define a time series model. A fitted model hierarchical data structure stores characteristics that define a fitted time series model. The characteristics of the fitted time series model are defined through an application of the time series model to the time series data.
    Type: Grant
    Filed: May 9, 2006
    Date of Patent: August 30, 2011
    Assignee: SAS Institute Inc.
    Inventors: Keith E. Crowe, Michael J. Leonard
  • Publication number: 20100257133
    Abstract: Computer-implemented systems and methods for processing time series data that is indicative of a data generation activity occurring over a period of time. A model specification hierarchical data structure is used for storing characteristics that define a time series model. A fitted model hierarchical data structure stores characteristics that define a fitted time series model. The characteristics of the fitted time series model are defined through an application of the time series model to the time series data.
    Type: Application
    Filed: June 22, 2010
    Publication date: October 7, 2010
    Inventors: Keith E. Crowe, Michael J. Leonard
  • Patent number: 7301434
    Abstract: A motor protector (10) is shown having an elongated generally cup-shaped metallic housing (12) formed by a top wall (12a) and a side wall (12b) extending down from the perimeter of the top walls, the free end of which is welded to a header (14). The side and top wall have a rounded junction (12c) and a calibration rill (12e) is formed in the top wall from one end of the housing and through the rounded junction. An elongated thermostatic disc (16) is mounted in the housing and has a movable electrical contact (20) mounted at one end to be movable into and out of engagement with a stationary electrical contact (34) that is in turn mounted on a heater (26). A ceramic insulator plate (32) is interposed between the heater and the header.
    Type: Grant
    Filed: May 12, 2006
    Date of Patent: November 27, 2007
    Assignee: Sensata Technologies, Inc.
    Inventors: Michelle Pisuk, Brian Leary, Savithri Subramanyam, Keith E. Crowe, Sameer Masurkar
  • Patent number: 7251589
    Abstract: Computer-implemented systems and methods for performing forecast scoring based upon time series data that is indicative of a data generation activity occurring over a period of time. One or more data stores store historical data and future data. The historical data includes historical exogenous inputs. The future data includes future exogenous inputs. A dynamic statistical model receives the historical data and future data that are stored in the one or more data stores. The dynamic statistical model is to provide forecast scoring based upon the historical exogenous inputs and the future exogenous inputs. An optimizer having an objective function iteratively varies the future data, so that forecasts associated with the varying future data values are generated by the dynamic statistical model for evaluation by the objective function.
    Type: Grant
    Filed: May 9, 2006
    Date of Patent: July 31, 2007
    Assignee: SAS Institute Inc.
    Inventors: Keith E. Crowe, Rajesh S. Selukar, Michael J. Leonard
  • Patent number: 7023201
    Abstract: A magnetic position sensor has a stator (16?, 36, 52) formed of magnetic material and a pair of magnets (14a, 14b; 34a, 34b; 54a, 54b; 64a, 64b) rotatably mounted about the stator and movable between opposite angular extremities and spaced from the stator by a primary cylindrical air gap (5). A secondary air gap (4) is formed in a stationary member at a location at which the magnetic field varies with the angular position of the magnets. A first Hall Effect sensor (18) is disposed in the secondary air gap to measure the magnetic field there-across as an indication of the angular position of the magnets. A second reference sensor (22) is provided to detect the magnetic decay of the magnets. The second sensor can be a Hall Effect sensor disposed at a location at which the magnetic field is relatively constant, independent of the angular position of the magnets. The reference sensor output can be used as a diagnostic indicator or as a correction for the first sensor output.
    Type: Grant
    Filed: December 15, 2003
    Date of Patent: April 4, 2006
    Assignee: Texas Instruments Incorporated
    Inventors: Dale R. Sogge, Yoshihiko Mikawa, Masashi Matsutomo, Keith E. Crowe