A fuel movement simulator system includes a virtual reality (VR) system configured to generate a virtual refuel floor environment; and a fuel movement simulator assembly configured to provide a physical interface to the virtual refuel floor environment, the fuel movement simulator assembly including a replica mast, a replica control console connected to the replica mast, and a support structure configured to support the replica mast and replica control console.

A fuel movement simulator system includes a virtual reality (VR) system configured to generate a virtual refuel floor environment; and a fuel movement simulator assembly configured to provide a physical interface to the virtual refuel floor environment, the fuel movement simulator assembly including a replica mast, a replica control console connected to the replica mast, and a support structure configured to support the replica mast and replica control console.

A computer-implemented method and a smart-learning and knowledge retrieval system (SLKRS) are provided for imparting adaptive and personalized e-learning based on continually artificially learned unique characteristics of a knowledge seeker. The SLKRS ingests data in multiple formats from multiple sources, merges the data into a knowledge base based on computed strengths of terms in the sources, and assimilates the merged data to generate experiences. In response to a query received from the knowledge seeker, the SLKRS retrieves and sends in an immersive format one of the generated experiences or an experience created based on an artificially intelligent understanding of the received query. The SLKRS receives feedback from the knowledge seeker and computes a score based on the feedback and the query to artificially learn unique characteristics of the knowledge seeker. The SLKRS generates interventions and improved experiences for the knowledge seeker based on the computed score.

Examples are disclosed that relate to methods and systems for classifying the possession or control of a target asset. One example provides a system comprising one or more computing devices having processors and associated memories storing instructions executable by the processors. The instructions are executable to conduct a simulation or observation of an in-field event comprising a plurality of actors controlling a plurality of in-field assets. The system is further configured to monitor telemetry data from each of the in-field assets. In addition, tagging data is received from an in-field asset under the control of a member of the friendly group. A training data set is generated including the telemetry data and the tagging data, and an artificial intelligence model is trained to predict whether a run-time target asset is in the possession or control of the friendly or the unfriendly actor, or lost, based on run-time telemetry data.

An apparatus, system, and method according to which a user is trained in flange and gasket assembly. A simulator models placing a gasket in between a pair of flanges and inserting a plurality of bolts into the pair of flanges. The user simulates tightening one or more of the plurality of bolts, in accordance with a particular tightening pattern, in order to create a proper seal, although the user may tighten the bolt in any order. The simulator provides simulated stress values for each bolt in the plurality of bolts to guide the user in proper flange and gasket assembly. The simulated stress values are based on an empirical, mathematical model and take into account elastic interactions between bolts. The assembly training ends when the user completes the tightening pattern or makes an irreversible error. The user is then provided with a score.

An apparatus, system, and method according to which a user is trained in flange and gasket assembly. A simulator models placing a gasket in between a pair of flanges and inserting a plurality of bolts into the pair of flanges. The user simulates tightening one or more of the plurality of bolts, in accordance with a particular tightening pattern, in order to create a proper seal, although the user may tighten the bolt in any order. The simulator provides simulated stress values for each bolt in the plurality of bolts to guide the user in proper flange and gasket assembly. The simulated stress values are based on an empirical, mathematical model and take into account elastic interactions between bolts. The assembly training ends when the user completes the tightening pattern or makes an irreversible error. The user is then provided with a score.

Techniques are provided for creating a virtual environment that can be used for virtual trainings. The virtual environment is configured so that the environment can be viewed using a head-mounted display. A computer system can receive a learning objective from a client and the computer system can present the client with a series of question strings about the objective. Based on answer strings received from the client, the computer system can add skill frameworks, interactive frameworks, positional information, and timing information to fields in a training plan table. The computer system can receive visual content from the client or retrieve visual content from a visual content database. Using the training plan table, interactive frameworks can be added to visual content to produce a virtual environment.

Techniques are provided for creating a virtual environment that can be used for virtual trainings. The virtual environment is configured so that the environment can be viewed using a head-mounted display. A computer system can receive a learning objective from a client and the computer system can present the client with a series of question strings about the objective. Based on answer strings received from the client, the computer system can add skill frameworks, interactive frameworks, positional information, and timing information to fields in a training plan table. The computer system can receive visual content from the client or retrieve visual content from a visual content database. Using the training plan table, interactive frameworks can be added to visual content to produce a virtual environment.

A live virtual constructive (LVC) gateway system is configured to transparently separate, merge, and route data traffic between operator systems, live tactical Line Replaceable Unit (LRU) systems, and simulated tactical LRU systems. The LVC gateway is configured to receive LRU commands from an operator system, parse, the commands, and reconstruct the commands suitable for transmission to live or simulated tactical LRU systems. The LVC gateway is also configured to receive live and simulated status and target data from live tactical LRU and simulated tactical LRU systems, respectively, and merge the data for transmission to an operator system.

Apparatuses, systems, and interfaces and methods implementing them, wherein apparatuses, systems, and interfaces are configured to assist or aide a user experiencing an adverse breathing event to reestablish a normal or healthy breathing rhythm or pattern quickly and efficiently via simulated breathing rhythms or patterns including audio recordings or simulations, visual recordings or simulations, audiovisual recordings or simulations, or avatar recordings or simulations.