Patents by Inventor Laura MACLEAN

Laura MACLEAN 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: 10274620
    Abstract: A system for predicting occurrence of earthquakes greater than magnitude 4.5 within 24-48 hours includes a plurality of sensor stations in communication with a data center. The sensor stations collect data from three induction magnetometers, two ion detectors (positive and negative), a geophone, and temperature and humidity sensors. Infrared data for the area around the station is also collected and evaluated at the data center. Other sensors may be deployed to detect, identify, and eliminate signals that are attributed to noise. Noise sources may include solar storms, lightning, vehicles, electric trains, and other local machinery or man-made sources. Using the captured data, the data center applies signal-processing algorithms to identify patterns in the collected data that match known data patterns which have immediately preceded earthquakes.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: April 30, 2019
    Assignee: STELLAR SOLUTIONS, INC.
    Inventors: Thomas Bleier, Karl Kappler, John Doering, Laura MacLean, Dan Schneider, James Lemon, Dan Coughlin
  • Publication number: 20180275295
    Abstract: A system for predicting occurrence of earthquakes greater than magnitude 4.5 within 24-48 hours includes a plurality of sensor stations in communication with a data center. The sensor stations collect data from three induction magnetometers, two ion detectors (positive and negative), a geophone, and temperature and humidity sensors. Infrared data for the area around the station is also collected and evaluated at the data center. Other sensors may be deployed to detect, identify, and eliminate signals that are attributed to noise. Noise sources may include solar storms, lightning, vehicles, electric trains, and other local machinery or man-made sources. Using the captured data, the data center applies signal-processing algorithms to identify patterns in the collected data that match known data patterns which have immediately preceded earthquakes.
    Type: Application
    Filed: March 22, 2017
    Publication date: September 27, 2018
    Applicant: STELLAR SOLUTIONS, INC.
    Inventors: Thomas BLEIER, Karl KAPPLER, John DOERING, Laura MACLEAN, Dan SCHNEIDER, James LEMON, Dan COUGHLIN
  • Patent number: D901024
    Type: Grant
    Filed: April 9, 2019
    Date of Patent: November 3, 2020
    Inventors: Laura Maclean, Thomas Forsyth