Provided is a method of providing a user-optimized laboratory environment. The method includes receiving user location information and user experiment information from a user terminal, receiving location information of laboratory equipment and internal environment information of a laboratory from a plurality of sensors, providing experiment guide information to a user on the basis of the user location information, the user experiment information, the location information of the laboratory equipment, and the internal environment information of the laboratory, and controlling the laboratory equipment on the basis of the user location information, the user experiment information, the location information of the laboratory equipment, and the internal environment information of the laboratory.

Provided is a method of providing a user-optimized laboratory environment. The method includes receiving user location information and user experiment information from a user terminal, receiving location information of laboratory equipment and internal environment information of a laboratory from a plurality of sensors, providing experiment guide information to a user on the basis of the user location information, the user experiment information, the location information of the laboratory equipment, and the internal environment information of the laboratory, and controlling the laboratory equipment on the basis of the user location information, the user experiment information, the location information of the laboratory equipment, and the internal environment information of the laboratory.

A terminal images first and second images respectively indicating facial images of a user before and after makeup, acquires information on a type or region of the makeup performed by the user, and transmits the first and second images and the information on the type or region of the makeup in association with each other to a server. The server deduces a makeup color of the makeup performed by the user based on the first and second images and the information on the type or region of the makeup performed by the user, and extracts at least one similar makeup item having the makeup color based on information on the makeup color and a makeup item database, and transmits information on at least one similar makeup item to the terminal. A terminal displays information on at least one similar makeup item transmitted from the server to a display unit.

A terminal images first and second images respectively indicating facial images of a user before and after makeup, acquires information on a type or region of the makeup performed by the user, and transmits the first and second images and the information on the type or region of the makeup in association with each other to a server. The server deduces a makeup color of the makeup performed by the user based on the first and second images and the information on the type or region of the makeup performed by the user, and extracts at least one similar makeup item having the makeup color based on information on the makeup color and a makeup item database, and transmits information on at least one similar makeup item to the terminal. A terminal displays information on at least one similar makeup item transmitted from the server to a display unit.

A computer-implemented method includes receiving, via an airborne network and by a computing device associated with a live-force aircraft in a training environment, simulated data representing simulated attributes of an adversary aircraft, wherein the simulated data is packet based; and executing, by the computing device, one or more operations based on receiving the simulated data for creating a training simulation for the live-force aircraft, wherein the training simulation includes the adversary aircraft with the simulated attributes.

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 example weld training system includes: a display device; a processor; and a machine readable storage device comprising machine readable instructions which cause the processor to: collect, from welding-type equipment during a welding-type operation, data describing the operation; collect, from a set of one or more cameras, images depicting one or more of: a) a posture of the operator or a technique of the operator during the welding-type operation; or b) a welding torch used in the welding-type operation; synchronize the collected data and the collected images; identify an anomaly associated with the data; display the collected and images together in a synchronized manner on the display device such that the processor updates the display device to display corresponding synchronized data and images when a portion of the operation is selected for viewing, the displaying comprising displaying an indicator of the anomaly in at least one of the data or images.

An example weld training system includes: a display device; a processor; and a machine readable storage device comprising machine readable instructions which cause the processor to: collect, from welding-type equipment during a welding-type operation, data describing the operation; collect, from a set of one or more cameras, images depicting one or more of: a) a posture of the operator or a technique of the operator during the welding-type operation; or b) a welding torch used in the welding-type operation; synchronize the collected data and the collected images; identify an anomaly associated with the data; display the collected and images together in a synchronized manner on the display device such that the processor updates the display device to display corresponding synchronized data and images when a portion of the operation is selected for viewing, the displaying comprising displaying an indicator of the anomaly in at least one of the data or images.

An example weld training system includes: a weld training device configured to perform a simulated welding procedure on a simulated weld joint; a work surface comprising the simulated weld joint; a sensing device configured to track weld training device location information during the simulated welding procedure; a visual interface configured to display results of the simulated welding procedure based on the weld training device location information; and an enclosure comprising an interior volume configured to house within its interior the visual interface, the work surface, and the sensing device.

An example weld training system includes: a weld training device configured to perform a simulated welding procedure on a simulated weld joint; a work surface comprising the simulated weld joint; a sensing device configured to track weld training device location information during the simulated welding procedure; a visual interface configured to display results of the simulated welding procedure based on the weld training device location information; and an enclosure comprising an interior volume configured to house within its interior the visual interface, the work surface, and the sensing device.