Patents by Inventor Mark K. Murphy

Mark K. Murphy 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).

  • Publication number: 20240125641
    Abstract: A method is provided for monitoring optical cable for disturbance events by providing dual monitoring systems where optical signals are received from at least one optical fiber of the cable which are modified by disturbance events. Two separate and distinct algorithms are applied to the received optical signals to generate first and second outputs related to the disturbance event where in a control system information from the first and second outputs is used to determine if an alarm should be issued. The monitoring systems can use a single DAS system and operate on the same data independently preferably using one algorithm which uses ZONE processes to obtain data about different zones in the fiber. Alternatively two DAS systems can be used, one DAS system and one ZONE system or two ZONE systems. In all cases weather data can be used to assist the two algorithms in determining the presence of false alarms.
    Type: Application
    Filed: October 14, 2022
    Publication date: April 18, 2024
    Inventors: Cary R. Murphy, Daniel M. Goertzen, Mark K. Bridges
  • Publication number: 20240125671
    Abstract: A method is provided for monitoring optical cable for disturbance events by providing dual monitoring systems where optical signals are received from at least one optical fiber of the cable which are modified by disturbance events. Two separate and distinct algorithms are applied to the received optical signals to generate first and second outputs related to the disturbance event where in a control system information from the first and second outputs is used to determine if an alarm should be issued. The monitoring systems can use a single DAS system and operate on the same data independently preferably using one algorithm which uses ZONE processes to obtain data about different zones in the fiber. Alternatively two DAS systems can be used, one DAS system and one ZONE system or two ZONE systems. In all cases weather data can be used to assist the two algorithms in determining the presence of false alarms.
    Type: Application
    Filed: October 14, 2022
    Publication date: April 18, 2024
    Inventors: Cary R. Murphy, Daniel M. Goertzen, Mark K. Bridges
  • Publication number: 20240127684
    Abstract: A method is provided for monitoring optical cable for disturbance events by providing dual monitoring systems where optical signals are received from at least one optical fiber of the cable which are modified by disturbance events. Two separate and distinct algorithms are applied to the received optical signals to generate first and second outputs related to the disturbance event where in a control system information from the first and second outputs is used to determine if an alarm should be issued. The monitoring systems can use a single DAS system and operate on the same data independently preferably using one algorithm which uses ZONE processes to obtain data about different zones in the fiber. Alternatively two DAS systems can be used, one DAS system and one ZONE system or two ZONE systems. In all cases weather data can be used to assist the two algorithms in determining the presence of false alarms.
    Type: Application
    Filed: October 14, 2022
    Publication date: April 18, 2024
    Inventors: Cary R. Murphy, Daniel M. Goertzen, Mark K. Bridges
  • Publication number: 20240096185
    Abstract: An optical fiber is monitored for an intrusion event where reflected optical signals are divided into streams each associated with a respective location on the optical fiber. Blocks of the streams are selected each containing a plurality of streams and the streams are collated, for example by averaging, to create a single stream to which an algorithm is applied to create coefficients which are compared with a threshold value to generate an output indicative of disturbance of the fiber by an intrusion event. Each block representative of a length of the fiber is thus treated as a zone and the detection algorithm is applied to each. This creates a DAS system that does not require unique tuning as each zone is independently monitored.
    Type: Application
    Filed: September 16, 2022
    Publication date: March 21, 2024
    Inventors: Cary R. Murphy, Daniel M Goertzen, Mark K Bridges, Joseph Giovannini
  • Patent number: 8861864
    Abstract: In a particular embodiment, a method includes applying a first feature detector to a portion of an image to detect a first set of features. The first set of features is used to locate a region of interest, and a boundary corresponding to the region of interest is determined. The method also includes displaying the boundary at a display. In response to receiving user input to accept the displayed boundary, a second feature detector is applied to an area of the image encapsulated by the boundary.
    Type: Grant
    Filed: August 12, 2010
    Date of Patent: October 14, 2014
    Assignee: QUALCOMM Incorporated
    Inventors: John Hong, Onur C. Hamsici, Jose R. dos Santos, Joseph Huang, Chong U. Lee, Yuriy Reznik, Mark K. Murphy, Devender A. Yamakawa
  • Publication number: 20110222774
    Abstract: In a particular embodiment, a method includes applying a first feature detector to a portion of an image to detect a first set of features. The first set of features is used to locate a region of interest, and a boundary corresponding to the region of interest is determined. The method also includes displaying the boundary at a display. In response to receiving user input to accept the displayed boundary, a second feature detector is applied to an area of the image encapsulated by the boundary.
    Type: Application
    Filed: August 12, 2010
    Publication date: September 15, 2011
    Applicant: QUALCOMM Incorporated
    Inventors: John Hong, Onur C. Hamsici, Jose R. dos Santos, Joseph J. Huang, Chong U. Lee, Yuriy Reznik, Mark K. Murphy, Devender A. Yamakawa