Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for fault injection and ensuring failsafe FMS SaaS platforms. For instance, the method may include observing a behavior of a platform; building a hypothesis about a steady state behavior based on the observing the behavior of the platform; determining whether a request for fault injection has been received; in response to receiving the request for the fault injection, performing the fault injection; observing a response of the platform to the fault injection; determining whether the fault injection is at an end; and in response to determining that the fault injection is at the end, collect and analyze data of observed response(s).

Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for fleet based aircraft flight planning using real-time intelligence. For example, a system may include a simulation engine configured to calculate flight modification parameters associated with an aircraft based on real-time flight data of the aircraft, real-time weather data along a flight path of the aircraft, and real-time planning data of the aircraft, and then transmit the flight modification parameters to a flight management system (FMS) of the aircraft.

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 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: 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: 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: 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: 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: 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: 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: Systems and methods are disclosed for executing a conversational interface for autonomous assembly and configuration of an Industrial Internet of Things (IIoT) gateway.

Abstract: Computer-implemented methods for configuring an Industrial Internet of Things (IIoT) edge node in an IIoT network to perform one or more functions, including: 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: Systems and methods are disclosed for executing a conversational interface for autonomous assembly and configuration of an Industrial Internet of Things (IIoT) gateway.

Abstract: Described herein are systems and methods for presenting building information. In overview, the technologies described herein provide relationships between Building Information Modeling (BIM) data (which includes building schematics defined in terms of standardized three dimensional models) and Building Management System (BMS) data (which includes data indicative of the operation of building components such as HVAC components and the like). Some embodiments use relationships between these forms of data thereby to assist technicians in identifying the physical location of particular pieces of equipment, for example in the context of performing inspections and/or maintenance. In some cases this includes the provision of 2D and/or 3D maps to portable devices, these maps including the location of equipment defined both in BIM and BMS data. In some cases, augmented reality technology is applied thereby to provide richer access to positional information.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for fleet based aircraft flight planning using real-time intelligence. For example, a system may include a simulation engine configured to calculate flight modification parameters associated with an aircraft based on real-time flight data of the aircraft, real-time weather data along a flight path of the aircraft, and real-time planning data of the aircraft, and then transmit the flight modification parameters to a flight management system (FMS) of the aircraft.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for providing application programming interface (API) mashups. For instance, the method may include hosting a plurality of certified FMS micro-services associated with a plurality of FMS APIs; hosting an API mashup generator to perform an API mashup process and an API mashup recommendation process, the API mashup process generating combinations of APIs that include one or more APIs from the plurality of FMS APIs, other avionics APIs, and/or third party APIs; and hosting a service mesh to process a user request from a user device for the API mashup recommendation process or an invoke micro-service process.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for fault injection and ensuring failsafe FMS SaaS platforms. For instance, the method may include observing a behavior of a platform; building a hypothesis about a steady state behavior based on the observing the behavior of the platform; determining whether a request for fault injection has been received; in response to receiving the request for the fault injection, performing the fault injection; observing a response of the platform to the fault injection; determining whether the fault injection is at an end; and in response to determining that the fault injection is at the end, collect and analyze data of observed response(s).

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.