Abstract: In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.

Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for rotorcraft track and balance. The method may include capturing one or more images of at least one rotating blades of a rotorcraft and analyzing the one or more images of the at least one rotating blades to determine blade information. Additionally, the method may include determining a location of the at least one rotating blades in the one or more images based on the blade information and calculating blade position information based on the determined location of the at least one rotating blade and a parameter of a user device capturing the one or more images. Additionally, the method may include displaying the blade position information to the user device and displaying instructions on one or more adjustments to the at least one rotating blades of the rotorcraft based on the blade position information.

Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for rotorcraft track and balance. The method may include capturing one or more images of at least one rotating blades of a rotorcraft and analyzing the one or more images of the at least one rotating blades to determine blade information. Additionally, the method may include determining a location of the at least one rotating blades in the one or more images based on the blade information and calculating blade position information based on the determined location of the at least one rotating blade and a parameter of a user device capturing the one or more images. Additionally, the method may include displaying the blade position information to the user device and displaying instructions on one or more adjustments to the at least one rotating blades of the rotorcraft based on the blade position information.

Abstract: Methods, systems, and aircraft systems providing visual affordances for human-machine interfaces are described. The system includes a controller architecture coupled to touch screen device. The controller architecture receives a configuration file (config file) for a control element, parses it to identify a force functionality component and force threshold therein. The controller renders the control element on a graphical user interface (GUI) on the touch screen device using a visual representation of the force functionality component of the control element in accordance with a selected format scheme. The controller modifies the visual representation of the control element as a function of a pressure of a user's touch on the control element on the GUI, also in accordance with the selected format scheme.

Abstract: In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.

Abstract: In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.

Abstract: Methods and systems for classifying a subject's cognitive state are provided. The method receives and stores sensor signals comprising a first sensor signal (SS_1) from a first sensor configured to sense a first aspect of the subject, and a second sensor signal (SS_2) from a second sensor configured to sense a second aspect of the subject. The validity of SS_1 and SS_2 are determined using a binary signal validity methodology and a weighted signal validity methodology. SS_1 and SS_2 are analyzed to identify patterns therein, and the patterns are defined as either an objective marker or a subjective marker. A subject profile is referenced and updated through multiple iterations. The subject's cognitive state is subsequently classified based on both adjusted subjective and objective markers.

Abstract: In some examples, a system includes a weather radar device configured to transmit radar signals, receive first reflected radar signals at a first time, and receive second reflected radar signals at a second time. In some examples, the system also includes processing circuitry configured to determine a first magnitude of reflectivity based on the first reflected radar signals and determine a second magnitude of reflectivity based on the second reflected radar signals. In some examples, the processing circuitry is also configured to determine a temporal variance in reflectivity magnitudes based on determining a difference in reflectivity between the first magnitude and the second magnitude. In some examples, the processing circuitry is further configured to determine a presence of ice crystals based on the first magnitude of reflectivity, the second magnitude of reflectivity, and the temporal variance in reflectivity magnitudes.