Abstract: Systems and methods for a situation aware edge analytics framework for communication systems. In certain embodiments, a method includes receiving an analytical model from an external server at a mobile edge node. Further, the method includes acquiring situation information for the mobile edge node from at least one component on the mobile edge node. Moreover, the method includes providing the situation information to the analytical model executing on the mobile edge node. Also, identifying a change in one or more communication link states based on an output of the analytical model. Additionally, transmitting the output of the analytical model to the external server. The method also includes receiving an additional analytical model from the external server by the mobile edge node, where the additional analytical model is based on the output of the analytical model.

Abstract: Disclosed are methods, systems, and computer-readable medium for context-specific granular access to flight management system (FMS) SaaS using adaptive IAM. For instance, the method may include receiving, at one of a plurality of application programing interface (API) endpoints of a flight management system (FMS) software as a service (SaaS), a request from a client; determining whether the request is authorized; in response to determining the request is authorized, analyzing the request to determine a context of the request and determine whether the request includes an intent; transmitting a message to a particular functionality of the FMS SaaS based on the context and the intent; determining whether the client is associated with a subscription type; filtering a data stream from the FMS SaaS in accordance with the subscription type and the context; generating a response based on the filtered data stream; and transmitting the response to the client.

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: A video management system may send time-stamped metadata corresponding to a video stream across a communication path having a limited bandwidth. Time-stamped metadata for a first reference video frame which identifies objects in the reference frame may be generated, and sent across the communication path. Time-stamped metadata for each of a plurality of first delta video frames following the first reference video frame may be generated, the time-stamped metadata for each of the plurality of first delta video frames may identify changes in detected objects relative to the objects identified in the time-stamped metadata for the first reference video frame. The time-stamped metadata for each of the plurality of first delta video frames may be sent across the communication path.

Abstract: Systems and methods for creating a story board with forensic video analysis on a video repository are provided. Some methods can include storing a plurality of video data streams in a data repository, storing asynchronous streams of metadata of each of the plurality of video data streams in the data repository, identifying a first object captured by at least one of the plurality of video data streams, using the asynchronous streams of metadata to identify correlations or interactions between the first object and a plurality of other objects over time, and replicating a story of the first object.

Abstract: A video management system (VMS) may search for one or more events in a plurality of video streams captured and stored at a plurality of remote sites. The VMS may generate time-stamped metadata for each video stream captured at the remote site. The time-stamped metadata for each video stream may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. Each of the plurality of remote sites may send the time-stamped metadata to a central hub, wherein the time-stamped metadata may be stored in a data lake, and a user may enter a query into a video query engine, wherein the video query engine may be operatively coupled to the central hub.

Abstract: Systems and methods for a situation aware edge analytics framework for communication systems. In certain embodiments, a method includes receiving an analytical model from an external server at a mobile edge node. Further, the method includes acquiring situation information for the mobile edge node from at least one component on the mobile edge node. Moreover, the method includes providing the situation information to the analytical model executing on the mobile edge node. Also, identifying a change in one or more communication link states based on an output of the analytical model. Additionally, transmitting the output of the analytical model to the external server. The method also includes receiving an additional analytical model from the external server by the mobile edge node, where the additional analytical model is based on the output of the analytical model.

Abstract: A video management system may send time-stamped metadata corresponding to a video stream across a communication path having a limited bandwidth. Time-stamped metadata for a first reference video frame which identifies objects in the reference frame may be generated, and sent across the communication path. Time-stamped metadata for each of a plurality of first delta video frames following the first reference video frame may be generated, the time-stamped metadata for each of the plurality of first delta video frames may identify changes in detected objects relative to the objects identified in the time-stamped metadata for the first reference video frame. The time-stamped metadata for each of the plurality of first delta video frames may be sent across the communication path.

Abstract: A video management system (VMS) may search for one or more objects and/or events in one or more video streams, and may receive time-stamped metadata that may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. A user may enter a query into a video query engine, wherein the video query engine includes one or more cognitive models. The VMS may apply the search query to the time-stamped metadata via the video query engine to search for one or more objects and/or events in the one or more video streams that match the search query, and returning a search result to the user.

Abstract: A video management system (VMS) may search for one or more events in a plurality of video streams captured and stored at a plurality of remote sites. The VMS may generate time-stamped metadata for each video stream captured at the remote site. The time-stamped metadata for each video stream may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. Each of the plurality of remote sites may send the time-stamped metadata to a central hub, wherein the time-stamped metadata may be stored in a data lake, and a user may enter a query into a video query engine, wherein the video query engine may be operatively coupled to the central hub.

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: Techniques are provided for detecting an intrusion event in a network. At a gateway device in the network, performance parameters of the gateway device are monitored. Steady-state operations are defined based on expected performance of the device parameters. The steady-state operations are compared to the monitored device performance and other context parameters. A hybrid network intrusion detection technique is activated to determine a presence of the intrusion event for known and unknown attacks.

Abstract: A video management system (VMS) may search for one or more objects and/or events in one or more video streams, and may receive time-stamped metadata that may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. A user may enter a query into a video query engine, wherein the video query engine includes one or more cognitive models. The VMS may apply the search query to the time-stamped metadata via the video query engine to search for one or more objects and/or events in the one or more video streams that match the search query, and returning a search result to the user.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a contextual transformation of an analytical model for an industrial internet of things (IIoT) edge node. For instance, the method may include receiving the analytical model from a cloud service; obtaining local data of the IIoT edge node; analyzing the local data to determine a situational context of the IIoT edge node; determining whether to transform the analytical model based on a fit between the analytical model and the situational context; and in response to determining to transform the analytical model, transforming the analytical model based on the situational context to derive a transformed analytical model.

Abstract: Computer-implemented methods for configuring an Industrial Internet of Things (IIoT) edge node in an IIoT network to perform one or more functions, comprising: performing a situation analysis to determine a required change in one or more of an analytical model, a runtime component, and a functional block of the IIoT edge node based on a change in the one or more functions; and automatically provisioning a new or updated functional module to the IIoT edge node, based on the situation analysis, the new or updated functional module including one or more components, wherein each component includes at least one of a rules set, a complex domain expression with respect to a process industry, an analytical model, and a protocol decoder.

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 non-transitory computer-readable medium for cognitive services for a FMS SaaS platform. For instance, the method may include obtaining training data; training reinforcement learning model(s) using the obtained training data; in response to receiving a request for cognitive services from a user device, analyzing a query of the request for cognitive services using at least one reinforcement learning model of the trained reinforcement learning model(s); determining intent, entity(s), emotion, and/or context of the query based on an output of the at least one reinforcement learning model to form a cognitive services request; applying a second at least one reinforcement learning model of the trained reinforcement learning model(s) to the cognitive services request to determine one or more services to invoke; and transmitting a result to the user device based on an output of the one of more invoked services.

Abstract: Disclosed are methods, systems, and computer-readable medium for context-specific granular access to flight management system (FMS) SaaS using adaptive IAM. For instance, the method may include receiving, at one of a plurality of application programing interface (API) endpoints of a flight management system (FMS) software as a service (SaaS), a request from a client; determining whether the request is authorized; in response to determining the request is authorized, analyzing the request to determine a context of the request and determine whether the request includes an intent; transmitting a message to a particular functionality of the FMS SaaS based on the context and the intent; determining whether the client is associated with a subscription type; filtering a data stream from the FMS SaaS in accordance with the subscription type and the context; generating a response based on the filtered data stream; and transmitting the response to the client.