Abstract: There is provided a computer-implemented method for remotely pointing to a region of interest within a simulation environment, the process comprising the steps of: receiving coordinates of at least one point selected within a given image of at least a portion of the simulation environment, the given image being displayed on a display unit; identifying a region of interest within the simulation environment based on the received coordinates of the at least one point; and providing control signals to a projector to visually distinguish the region of interest within the simulation environment.

Abstract: There is described a method and a system for training a user to score a vehicle maneuver: vehicle parameters are generated, using one of a machine learning model and a rule-based model, based on a target grade and a vehicle maneuver, the target grade being indicative of a given performance level of a pilot performing the vehicle maneuver, the vehicle parameters representing parameters of the vehicle during the vehicle maneuver, the vehicle parameters enabling evaluating a performance of the pilot during the vehicle maneuver. The vehicle parameters are provided for display providing the vehicle parameters for display, a subjective grade indicative of an estimated performance level of the pilot during the vehicle maneuver is received, and the target grade is provided for display to the user on the display device, thereby allowing the user to compare the subjective grade to the target grade.

Abstract: A method and apparatus for creating a deteriorated video feed from actions of a user. The apparatus receives a video feed from one or more cameras, within an enclosed area comprising one or more tangible instruments of a system on which the user performs the actions, wherein the video feed provides images related to the actions performed by the user interacting with the system through the one or more tangible instruments. The apparatus captures one or more visual-perception inhibitors affecting the user, wherein the one or more visual-perception inhibitors affect the user while performing the actions in the system. The apparatus comprises a video processing module for deteriorating the video feed by selectively modifying images from the video feed into a deteriorated video feed considering the captured one or more visual-perception inhibitors.

Abstract: A method for generating a digital filter for adjusting a brightness of a screen, the method being executed by a processor, the method comprising: receiving a captured image of a screen on which a reference image is projected by a projector, the captured image being captured by a camera; applying a spatial frequency filter to the captured image, thereby obtaining a spatially filtered image; determining a projector-space compensation filter based on the spatially filtered image, the projector-space compensation filter being configured for adjusting a brightness of the acquired image; and outputting the projector-space compensation filter.

Abstract: There is provided a method for generating sound within a predetermined environment, the method comprising: concurrently emitting within the predetermined environment: a pure sinusoidal audio signal from a first location; and a noisy sinusoidal audio signal from a second location, wherein: the first location and the second location are distinct; the pure sinusoidal audio signal and the noisy sinusoidal audio signal have a same frequency; and within the predetermined environment, the pure sinusoidal audio signal emitted from the first location has a first amplitude that is equal to or greater than a second amplitude of any other signal having said frequency and concurrently emitted from at least one of the first location and the second location.

Abstract: A multi-agent computerized simulation system for training a user to operate a vehicle comprises an interactive computerized simulation station having tangible instrumentation enabling the user to control a simulated vehicle in a multi-agent simulation, a memory storing simulation data for the multi-agent simulation, and a processor configured to execute the multi-agent simulation. The simulation provides a simulated traffic controller having a traffic controller artificial intelligence that interacts verbally with the user to coordinate movement of the simulated vehicle. The simulation also provides one or more simulated external vehicles that simulate one or more external vehicles whose movement is scripted deterministically in the simulation. Alternatively, each simulated external vehicle is operated by an autonomous agent having AI controlling the simulated external vehicle by making observations and decisions and by reacting to verbal instructions received by the simulated traffic controller.

Abstract: A display system defining an expected position for a user with respect to a screen having first and second segments positioned so as to never simultaneously fall at least partially within a targeted field of view when the user is at the expected position, the system comprising: an image generator paired with a first projector covering the first segment and a second projector covering the second segment, the image generator being configured to generate a first image to be projected on the first segment and a second image to be projected on the second segment; a first module for determining that the first segment falls at least partially within the targeted field of view; and a second module for controlling hardware resources of the image generator to prioritize the generation of the first image when the first segment falls at least partially within the targeted field of view.

Abstract: Adaptors for positioning a force gauge relative to a control interface in a flight simulator or aircraft are disclosed where the control interface is moveable in at least one of a back-and-forth direction and a side-to-side direction. In some embodiments the adaptor comprises a housing positionable adjacent the control interface where the housing comprises a first surface configured to snugly receive a predetermined surface of the control interface and a second surface comprising a first housing connector configured for connection to the gauge connector such that pressure is exertable on the control interface by the force gauge in a first direction of measurement aligned with one of the back-and-forth direction and the side-to-side direction.

Abstract: An apparatus for use in a training simulator includes: a cabin; a hoist rope; a boom mounted to an upper portion of the cabin for supporting an upper portion of the hoist rope; an actuator arm mounted to a lower portion of the cabin for supporting a lower portion of the hoist rope; and a controller for controlling the actuator arm, the controller being operative to adjust a position of a second end of the actuator arm within an arm coverage area, thereby to adjust a bottom position of the hoist rope. An actuator arm and a method are also described.

Abstract: A method for providing remote visibility into a simulation environment, comprising: establishing over a secure public network a connection between a first videoconferencing client running on a first computer and a second videoconferencing client running on a second computer; receiving at the first computer a first live camera feed encompassing a first portion of the simulation environment over a secure private network, the second computer being located outside of the secure private network; displaying within a viewer the first live camera feed and a simulation control interface, a representation of a second portion of the simulation environment and/or a second live camera feed encompassing a third portion of the simulation environment; and granting the second videoconferencing client visual access to the viewer application through the first videoconferencing client.

Abstract: A method for determining an attenuation of a wind caused by a simulated obstacle and experienced by a simulated vehicle in a simulation, comprising: receiving a wind direction and an initial speed for a simulated wind; generating a line of sight vector having a source position, a given direction and a given length, the given direction being one of opposite to the wind direction and identical to the wind direction; determining a distance between the simulated obstacle and the simulated vehicle using the line of sight vector, the distance being at most equal to the given length of the line of sight vector; determining a wind attenuation gain using the distance between the simulated obstacle and the simulated vehicle; determining an actual speed for the simulated wind using the initial speed of the simulated wind and the gain for the wind attenuation; and outputting the actual speed.

Abstract: There is provided a computer-implemented method for remotely pointing to a region of interest within a simulation environment, the process comprising the steps of: receiving coordinates of at least one point selected within a given image of at least a portion of the simulation environment, the given image being displayed on a display unit; identifying a region of interest within the simulation environment based on the received coordinates of the at least one point; and providing control signals to a projector to visually distinguish the region of interest within the simulation environment.

Abstract: A federated machine learning system for training students comprises a first adaptive training system having a first artificial intelligence module for adapting individualized training to a first group of students and for developing a first learning model based on a first set of learning performance metrics. A second adaptive training system provides individualized training to a second group of students and has a data property extraction module for extracting statistical properties from a second set of learning performance metrics for the second group of students. A data simulator module generates simulated performance metrics using extracted statistical properties from the second set of learning performance metrics to thereby generate a second learning model. A federation computing device receives first and second model weights for the first and second learning models and generates or refines a federated model based on the first and second model weights.

Abstract: A method for providing remote visibility into a simulation environment, comprising: establishing over a secure public network a connection between a first videoconferencing client running on a first computer and a second videoconferencing client running on a second computer; receiving at the first computer a first live camera feed encompassing a first portion of the simulation environment over a secure private network, the second computer being located outside of the secure private network; displaying within a viewer the first live camera feed and a simulation control interface, a representation of a second portion of the simulation environment and/or a second live camera feed encompassing a third portion of the simulation environment; and granting the second videoconferencing client visual access to the viewer application through the first videoconferencing client.

Abstract: There is described a method and a system for training a user to score a vehicle maneuver: vehicle parameters are generated, using one of a machine learning model and a rule-based model, based on a target grade and a vehicle maneuver, the target grade being indicative of a given performance level of a pilot performing the vehicle maneuver, the vehicle parameters representing parameters of the vehicle during the vehicle maneuver, the vehicle parameters enabling evaluating a performance of the pilot during the vehicle maneuver. The vehicle parameters are provided for display providing the vehicle parameters for display, a subjective grade indicative of an estimated performance level of the pilot during the vehicle maneuver is received, and the target grade is provided for display to the user on the display device, thereby allowing the user to compare the subjective grade to the target grade.

Abstract: A federated machine learning system for training students comprises a first adaptive training system having a first artificial intelligence module for adapting individualized training to a first group of students and for developing a first learning model based on a first set of learning performance metrics. A second adaptive training system provides individualized training to a second group of students and has a data property extraction module for extracting statistical properties from a second set of learning performance metrics for the second group of students. A data simulator module generates simulated performance metrics using extracted statistical properties from the second set of learning performance metrics to thereby generate a second learning model. A federation computing device receives first and second model weights for the first and second learning models and generates or refines a federated model based on the first and second model weights.

Abstract: A system for training a student to operate an actual machine includes an electronic learning module and a simulation system for simulating operation of the actual machine. An adaptive learning artificial intelligence (ALAI) module receives student performance data to adapt training of the student. The student performance data includes instructor-graded performance results of the student based on the student operating the actual machine, simulation performance results for the student operating a simulated machine in a simulation system that simulates operation of an actual machine and electronic learning content results from an electronic learning module that delivers electronic learning content to a student computing device used by the student.