Abstract: Disclosed are methods, systems, and one or more computer-readable mediums for providing, by an integrated flight deck (IFD) networked computing system, data acquisition for generating a plurality of inflight operation insights, the IFD networked computing system comprising: a presentation platform, a plurality of framework components, a software development kit (SDK) framework, and one or more user interface libraries configured to develop a plurality of applications from the presentation platform and add one or more additional SDKs and/or libraries to the presentation platform; aggregating, by an orchestrator of the SDK framework, a plurality of data sources to fuse data from the plurality of data sources and create a data packet comprising real-time flight data; generating, the plurality of inflight operation insights by analyzing a plurality of key performance indicators of the created data packet; and assessing a flight parameter based on the generated inflight operation insights.

Abstract: Techniques for aircraft communication are described. In an aspect, aviation data in a first format is parsed to identify a type of aviation data, where the aviation data includes at least one of textual content and non-textual content. The aviation data is transformed from the first format to a second format compatible to be transmitted over an Aircraft Communications Addressing and Reporting System (ACARS) network in correspondence to the identified type of the aviation data, where the transforming of the aviation data based on the identified type includes invoking graphical libraries to transform non-textual content into a format compatible with the ACARS network. Further, the transformed aviation data is transmitted to at least one destination over the ACARS network. In another aspect, receiving and processing ACARS messages by transforming them into a format suitable for rendering at a destination are provided, where the message includes textual and non-textual content.

Abstract: Embodiments of the present disclosure relate to systems and methods for motion stabilized touch control with adaptive power management. A motion stabilization model is used to generate reference data comprising stabilized positions for touch points associated with a touch screen device, based on motion data from inertial measurement units. Touch zones are adjusted according to these stabilized positions through computer-executable instructions. The system monitors device activity using motion data and identifies computational resources to be allocated based on the activity state. Touch detection models are updated using these resources to learn the stabilized positions. Additionally, the system adjusts the refresh rate of the touch screen device in response to user interactions and recalibrates the dimensions of touch zones based on the adjusted refresh rate, thereby enhancing responsiveness and power efficiency.

Abstract: Systems, apparatuses, methods, and computer program products are provided herein. For example, a method may include access aviation specification data. In some embodiments, the method may include training a generative machine learning model using aviation specification data. In some embodiments, the method may include generating synthetic aviation data using the generative machine learning model. In some embodiments, the method may include training one or more global positioning system (GPS) spoofing detection machine learning models using the synthetic aviation data and historical aviation operations data. In some embodiments, the method may include deploying a first GPS spoofing detection machine learning model of the one or more GPS spoofing detection machine learning models to an edge-based device.

Abstract: Disclosed are methods and systems for bi-directional communication between one or more vehicles and a cloud based computing system. For instance, a method may include processing, by a first digital twin of the cloud based computing system, a first request received from and/or sent to a gateway unit associated with a first vehicle, the request comprising data related to one or more vehicle operations; validating, by an avionics data processing service (ADPS) in communication with the gateway unit, the first request against an operational parameter corresponding to the one or more vehicle operations; upon validating the first request, matching, by the ADPS, the operational parameter with a flight operation; and upon matching the operational parameter with the flight operation, inserting, by the ADPS, a modified flight operation into the flight management system of the vehicle.

Abstract: Embodiments of the present disclosure provide techniques for motion stabilized touch control. Reference data comprising one or more stabilized positions for one or more touch points corresponding to one or more touch zones associated with a touch screen device may be generated using a motion stabilization model. One or more touch zones may be adjusted based on the stabilized positions by transmitting-computer executable-instructions configured to cause the one or more touch zones to be aligned with the one or more stabilized positions. One or more touch detection models associated with the touch screen device may be updated by tuning the one or more touch detection models to learn the stabilized positions. One or more dimensions of the one or more touch zones may be recalibrated by adjusting a size of at least one of the one or more touch zones.

Abstract: A computing device is configured to obtain information for an application. The computing device is further configured to generate, using a machine learning model and based on the usage information, at least one intent score. The computing device is further configured to determine, based on the at least one intent score, one or more navigation settings for the application, wherein the one or more navigation settings indicate a particular page that the application should open upon launching of the application. The computing device is further configured to cause, upon launching of the application, the application to open the particular page.

Abstract: Disclosed are methods, systems, and one or more computer-readable mediums for receiving, at an edge device from an external server, a rules database comprising a set of rules; receiving, by the edge device, first data from at least one device; processing, by the edge device, the received first data by comparing the received data to each rule among the set of rules; identifying a first triggering event in response to detecting a match between the received data and a rule of the rules database; and outputting an alert corresponding to the first triggering event.

Abstract: A system and method in an aircraft for providing enhanced services is provided. In one example, the method includes: setting up triggering logic to identify a beginning point and ending point for collecting a set of avionics system data during a flight; and systematically retrieving information for use by the triggering logic to identify the beginning point and the ending point. When the beginning point is reached, the method includes systematically repeating: retrieving the set of avionics systems data; and sending, to an off-board application, data from the set of avionics system data that has changed state from prior data sent to the off-board application. When the ending point is reached, the method includes cease sending data from the set of avionics system data to the off-board application.

Abstract: Embodiments of the present disclosure provide techniques for providing secure communication for connected systems. The techniques may include receiving a communication session indication associated with a first connected system; authenticating the first connected system based on IAM policy; encrypting a message to generate an encrypted message based on a post quantum cryptography public key associated with the first connected system; and causing transmitting of the encrypted message to a second connected system.

Abstract: Techniques for generating flight path recommendations for an aircraft. In operation, an alternative flight path indication for generating a flight path recommendation may be received. Upon receiving the alternative flight path indication, avionics data for the aircraft, contextual flight operations data for the aircraft, and flight operation modelled data associated with a plurality of flight paths corresponding to the current flight operation of the aircraft are obtained. The avionics data, the contextual flight operation data, and the flight operation modelled data are then combined to generate a fused aviation data set. The fused aviation data set is then analyzed using a flight path recommendation model to generate a flight path recommendation. The flight path recommendation is then applied to the current flight operation of the aircraft.

Abstract: Embodiments of the present disclosure provide techniques for generating emissions impact-optimized optimized paths. The techniques may include identifying input data set for a target vehicle operation, the input data set; determining using a machine learning optimization model, an emissions impact-optimized path based on the input data set and historical emissions impact data associated with a plurality of historical vehicle operations; evaluating the emissions impact-optimized path, based on one or more validation engines, to generate an evaluation output; and determining a validated emissions impact-optimized path for the target vehicle operation based on the emissions impact-optimized path and the evaluation output.

Abstract: Embodiments of the present disclosure provide techniques for generating validated operational efficiency reports. The techniques may include receiving operational data associated with at least one vehicle operation; generating, based on the operational data and using a machine learning efficiency framework, one or more initial operational efficiency reports comprising one or more efficiency-based modification parameters configured for adjusting one or more operational parameters associated with a subsequent vehicle operation; generating one or more validated efficiency reports based on the one or more initial operational efficiency reports and using one or more simulation engines; and initiating performance of one or more prediction-based actions based on the validated efficiency reports.

Abstract: A system for an aircraft configured to: provide one or more of the sensed aircraft characteristics to a flight planning tool for processing by one or more features of the flight planning tool; receive a recommended flight setting from the flight planning tool based on the processing by the flight planning tool; compare a current flight setting as determined based on the one or more sensed aircraft characteristics from the plurality of sensors with the received recommended flight setting; determine a potential operational efficiency based on the comparison between the received recommended flight setting and the current flight setting; and provide the potential operational efficiency to a user based on an identity of the user.

Abstract: Disclosed are methods, systems, and one or more computer-readable mediums for receiving, at an edge device from an external server, a rules database comprising a set of rules; receiving, by the edge device, first data from at least one device; processing, by the edge device, the received first data by comparing the received data to each rule among the set of rules; identifying a first triggering event in response to detecting a match between the received data and a rule of the rules database; and outputting an alert corresponding to the first triggering event.

Abstract: Disclosed are methods, systems, and one or more computer-readable mediums for performing, by one or more processors located off-board a vehicle, operations including receiving, by the fog based application framework before transit of the vehicle, vehicle operation data from a cloud based database of a cloud based computing system; receiving, by the fog based application framework before and/or in real-time during transit of the vehicle, edge-based vehicle data from one or more edge computing devices of the vehicle; and generating, by the fog based application framework during transit of the vehicle, a plurality of vehicle operation insights based on the vehicle operation data and the edge-based vehicle data.

Abstract: A system for an aircraft configured to: provide one or more of the sensed aircraft characteristics to a flight planning tool for processing by one or more features of the flight planning tool; receive a recommended flight setting from the flight planning tool based on the processing by the flight planning tool; compare a current flight setting as determined based on the one or more sensed aircraft characteristics from the plurality of sensors with the received recommended flight setting; determine a potential operational efficiency based on the comparison between the received recommended flight setting and the current flight setting; and provide the potential operational efficiency to a user based on an identity of the user.

Abstract: Embodiments of the present disclosure provide techniques for adaptive tuning of motion stabilization models using artificial intelligence. A motion stabilization model for use with a device may be identified. Context data associated with a device may be identified. Metadata comprising one or more model parameters for the motion stabilization model may be identified. Model adjustment data may be generated based on the context data and the metadata by applying the context data and the metadata to a machine learning tuning model. The model adjustment data may be applied to the motion stabilization model to tune the motion stabilization model. The motion stabilization model may be configured to facilitate motion stabilization to account for screen motion of the display of the device and eye motion of a user relative to each other in a vehicle.