Patents by Inventor Alaster MEEHAN

Alaster MEEHAN 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: 11710390
    Abstract: A computer-implemented event statistic generation method for intrusion detection comprises processing a plurality of return signals from a coherent optical time domain reflectometer into time domain signals for each of a plurality of sensor bins, the plurality of return signals corresponding to a plurality of stimulation pulses injected into an optical sensor fiber during a time period.
    Type: Grant
    Filed: June 3, 2022
    Date of Patent: July 25, 2023
    Assignee: AVA RISK GROUP LIMITED
    Inventors: Seedahmed Mahmoud, Alaster Meehan, Brian Bourke
  • Publication number: 20220309888
    Abstract: A computer-implemented event statistic generation method for intrusion detection comprises processing a plurality of return signals from a coherent optical time domain reflectometer into time domain signals for each of a plurality of sensor bins, the plurality of return signals corresponding to a plurality of stimulation pulses injected into an optical sensor fiber during a time period.
    Type: Application
    Filed: June 3, 2022
    Publication date: September 29, 2022
    Inventors: Seedahmed MAHMOUD, Alaster MEEHAN, Brian BOURKE
  • Patent number: 11373493
    Abstract: A computer-implemented event statistic generation for intrusion detection comprises processing a plurality of return signals from a coherent optical time-domain reflectometer into time-domain signals for each of a plurality of sensor bins, the plurality of return signals corresponding to a plurality of stimulation pulses injected into an optical sensor fiber during a time period. For each sensor bin, transforming the respective time-domain signal into a corresponding frequency-domain signal, calculating, from the respective frequency-domain signal, a first signal power area of a first frequency band expected to contain system noise and a second signal power area of a second frequency band expected to contain any energy related to at least a first event; and generating an event statistic proportional to the ratio of the second signal power area to the first signal power area at least in part by dividing the second signal power area by the first signal power area.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: June 28, 2022
    Assignee: AVA RISK GROUP LIMITED
    Inventors: Seedahmed Mahmoud, Alaster Meehan, Brian Bourke
  • Publication number: 20210027589
    Abstract: A computer-implemented event statistic generation for intrusion detection comprises processing a plurality of return signals from a coherent optical time-domain reflectometer into time-domain signals for each of a plurality of sensor bins, the plurality of return signals corresponding to a plurality of stimulation pulses injected into an optical sensor fiber during a time period. For each sensor bin, transforming the respective time-domain signal into a corresponding frequency-domain signal, calculating, from the respective frequency-domain signal, a first signal power area of a first frequency band expected to contain system noise and a second signal power area of a second frequency band expected to contain any energy related to at least a first event; and generating an event statistic proportional to the ratio of the second signal power area to the first signal power area at least in part by dividing the second signal power area by the first signal power area.
    Type: Application
    Filed: April 5, 2019
    Publication date: January 28, 2021
    Inventors: Seedahmed MAHMOUD, Alaster MEEHAN, Brian BOURKE