Patents by Inventor Nicholas Heller

Nicholas Heller 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).

  • Airport noise classification method and system
    Patent number: 11593610
    Abstract: An aircraft noise monitoring system uses a set of geographically distributed noise sensors to receive data corresponding to events captured by the noise sensors. Each event corresponds to noise that exceeds a threshold level. For each event, the system will receive a classification of the event as an aircraft noise event or a non-aircraft noise event. It will then use the data corresponding to the events and the received classifications to train a convolutional neural network (CNN) in a classification process. After training, when the system receives a new noise event, it will use the CNN to classify the new noise event as an aircraft noise event or a non-aircraft noise event, and it will generate an output indicating whether the new noise event is an aircraft noise event or a non-aircraft noise event.
    Type: Grant
    Filed: April 17, 2019
    Date of Patent: February 28, 2023
    Assignee: METROPOLITAN AIRPORTS COMMISSION
    Inventors: Derek Anderson, Matthew Baker, Nicholas Heller, Bradley Juffer
  • AIRPORT NOISE CLASSIFICATION METHOD AND SYSTEM
    Publication number: 20190332916
    Abstract: An aircraft noise monitoring system uses a set of geographically distributed noise sensors to receive data corresponding to events captured by the noise sensors. Each event corresponds to noise that exceeds a threshold level. For each event, the system will receive a classification of the event as an aircraft noise event or a non-aircraft noise event. It will then use the data corresponding to the events and the received classifications to train a convolutional neural network (CNN) in a classification process. After training, when the system receives a new noise event, it will use the CNN to classify the new noise event as an aircraft noise event or a non-aircraft noise event, and it will generate an output indicating whether the new noise event is an aircraft noise event or a non-aircraft noise event.
    Type: Application
    Filed: April 17, 2019
    Publication date: October 31, 2019
    Inventors: Derek Anderson, Matthew Baker, Nicholas Heller, Bradley Juffer