Patents by Inventor Daniel Spira

Daniel Spira 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: 20230415885
    Abstract: An electric vertical takeoff and landing aircraft including a teetering propulsor assembly is provided. Teetering propulsor assembly may include a propeller that includes a hub and blades. Hub of propeller may be mechanically connected to a teeter mechanism of propulsor assembly that may be configured to allow the propeller to pivot about a teeter axis relative to the electric aircraft. Thus, teeter mechanism allows for a rotational axis of propeller to move during teetering of propeller. Teeter mechanism may include one or more springs that reduce teetering or prevent teetering of the propulsor at certain rotational speeds of propeller.
    Type: Application
    Filed: April 6, 2023
    Publication date: December 28, 2023
    Applicant: BETA AIR, LLC
    Inventors: Daniel Spira, Kyle Brookes, David Churchill, Mark Page
  • Patent number: 11643196
    Abstract: An electric vertical takeoff and landing aircraft including a teetering propulsor assembly is provided. Teetering propulsor assembly may include a propeller that includes a hub and blades. Hub of propeller may be mechanically connected to a teeter mechanism of propulsor assembly that may be configured to allow the propeller to pivot about a teeter axis relative to the electric aircraft. Thus, teeter mechanism allows for a rotational axis of propeller to move during teetering of propeller. Teeter mechanism may include one or more springs that reduce teetering or prevent teetering of the propulsor at certain rotational speeds of propeller.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: May 9, 2023
    Assignee: BETA AIR, LLC
    Inventors: Daniel Spira, Kyle Brookes, David Churchill, Mark Page
  • Publication number: 20220335850
    Abstract: In an embodiment, the disclosed technologies receive flight simulation data from a flight simulator computer, input the flight simulation data into a machine learning time-series classifier to identify a plurality of maneuvers from the flight simulation data, evaluate a plurality of performance metrics associated with the identified maneuvers to evaluate a pilot's proficiency of the plurality of maneuvers. In one aspect of the embodiment, the performance metrics associated with the identified maneuvers are used to evaluate a plurality of competency indicators measuring a pilot's aviation competency.
    Type: Application
    Filed: April 16, 2021
    Publication date: October 20, 2022
    Inventors: Mikhail Klassen, Daniel Spira, Aaron Maxwell, José Miguel Alves, Karim Abou-Khalil
  • Patent number: 9760660
    Abstract: A method of developing a mathematical model of dynamics of a vehicle for use in a computer-controlled simulation, comprising: selecting a coefficient of a state-space model mathematically modelling the dynamics of the vehicle, the selected coefficient having a value for a predetermined state of the vehicle; and varying, a parameter of a physically-based computerized model mathematically modelling the dynamics of the vehicle, the parameter related to at least one of physical characteristics of the vehicle and phenomena influencing the dynamics of the vehicle, to improve the accuracy of the physically-based model via computer-implemented numerical optimization, the computer-implemented numerical optimization targeting the coefficient of the state-space model such that the difference between a value predicted by the physically-based model and the value of the coefficient of the state-space model for the predetermined vehicle state is within a predetermined range.
    Type: Grant
    Filed: October 9, 2012
    Date of Patent: September 12, 2017
    Assignee: CAE Inc.
    Inventors: Daniel Spira, Vincent Myrand-Lapierre, Olivier Soucy
  • Publication number: 20140207429
    Abstract: A method of developing a mathematical model of dynamics of a vehicle for use in a computer-controlled simulation, comprising: selecting a coefficient of a state-space model mathematically modelling the dynamics of the vehicle, the selected coefficient having a value for a predetermined state of the vehicle; and varying, a parameter of a physically-based computerized model mathematically modelling the dynamics of the vehicle, the parameter related to at least one of physical characteristics of the vehicle and phenomena influencing the dynamics of the vehicle, to improve the accuracy of the physically-based model via computer-implemented numerical optimization, the computer-implemented numerical optimization targeting the coefficient of the state-space model such that the difference between a value predicted by the physically-based model and the value of the coefficient of the state-space model for the predetermined vehicle state is within a predetermined range.
    Type: Application
    Filed: October 9, 2012
    Publication date: July 24, 2014
    Applicant: CAE INC.
    Inventors: Daniel Spira, Vincent Myrand-Lapierre, Olivier Soucy