Abstract: Disclosed herein are examples of an electronic device comprising processor circuitry, wherein the processor circuitry is configured to obtain meeting data, predict, based on the meeting data and a meeting model, an issue parameter indicative of an issue associated with a meeting, determine, using the meeting model and the issue parameter, an action parameter indicative of an action to address the issue, and provide, based on the action parameter, a resolution output to at least partially resolve the issue.

Abstract: A server device is configured to provide a combined environment and includes processor circuitry configured to determine first parameters indicative of a first location, generate first environment data indicative of the first location, determine second parameters indicative of a second location, and associate the second parameters with the first environment data for providing combined environment data, and output the combined environment data.

Abstract: A control system in a delivery system performs a method of controlling unmanned aerial vehicles, UAVs, which are organized in a group or swarm to perform one or more missions to deliver and/or pick up goods. The method includes obtaining drag data indicative of air resistance for one or more UAVs in the group, determining, as a function of the drag data, a respective relative position of at least the one or more UAVs within the group, and controlling at least the one or more UAVs to attain the respective relative position. Such adjustment in the relative position of one or more UAVs enables improved energy efficiency and may be made to reduce energy consumption, increase reach or decrease travel time of at least one UAV in the group.

Abstract: A scheduling device performs a method of scheduling transports by a fleet of unmanned aerial vehicles, UAVs, to enable improved utilization of the fleet. The method includes computing, for the fleet, aggregated cost data, ACM, that associates utilization cost with distributed sub-regions within a geographic region, the utilization cost of a respective sub-region representing an estimated cost for directing at least one of the UAVs to the respective sub-region. The method further includes receiving a query indicative of one or more potential locations for pick-up or delivery of a payload, determining, based on the ACM, a transportation price for at least one potential location, and presenting the transportation price for the at least one potential location. The scheduling device thereby provides an interactive ordering system that enables utilization of the fleet to be automatically optimized by swarm intelligence.

Abstract: A control system in a delivery system performs a method to deliver a payload by an unmanned aerial vehicle, UAV, without requiring presence of the recipient even if the payload comprises sensitive or vulnerable goods. The method comprises obtaining a designated location for delivery of the payload, obtaining at least one payload vulnerability index for the payload, and obtaining a pick-up time indicative of a time point when the payload is expected to be retrieved by the recipient. The method further comprises selecting a final delivery area at or near the designated location as a function of the at least one payload vulnerability index and the pick-up time, and operating the UAV to deliver the payload to the final delivery area.

Abstract: A method for integrating a replacement device in a cluster of devices includes, by the replacement device, requesting a contextual data structure from a first device of the cluster of devices and/or at least one outside device; obtaining based on the received contextual data structure, contextual data indicative of an environmental context of the replacement device; and providing the contextual data to at least one device of the cluster and/or the outside device(s). The at least one device and/or outside device(s) determining whether the contextual data meets a context criterion of a stored contextual data indicative of contextual data of a replaced device. If so, the replacement device receives from one or more of the first device, the at least one device, or the outside device(s), state data indicative of a known state of the replaced device, and updating the replacement device with the state data.

Abstract: A coordinator electronic device includes a memory circuitry, a processor circuitry, and an interface circuitry. The processor circuitry is configured to obtain sensor data from a first sensor device. The processor circuitry is configured to provide to the first sensor device, based on the sensor data obtained, a first configuration parameter indicative of scheduling of reporting from the first sensor device.

Abstract: A system performs a control method to launch an unmanned aerial vehicle, UAV. The control method includes calculating a selected altitude, relative to a reference level, for launching the UAV, operating a lifting arrangement to vertically elevate the UAV to the selected altitude, and causing the UAV to be launched from the selected altitude. Elevating the UAV may improve the performance of the UAV in terms of range, power consumption, ability to carry payload, transit time to destination, etc. The selected altitude may be calculated as a function of parameter data representing any of the UAV, the lifting arrangement, or surrounding conditions. An apparatus is further provided to determine an optimal location of the system in relation to a plurality of destinations of UAVs to be elevated by the system.

Abstract: A device determines the positioning of objects in a scene by implementing a robust and deterministic method. The device obtains object detection data (ODD) which identifies the objects and locations of reference points of the objects in views of the scene. The obtained ODD is processed to identify a first image object of a first view as a mirror reflection of a real object. A virtual view associated with a virtual camera position is created, including the ODD associated with the first image object of the first view. The ODD associated with the first image object is removed from the first view. Based on the ODD associated with at least said virtual view and a further view of the one or more views, a position of said first image object is computed.

Abstract: An electronic device includes a memory circuitry, an interface circuitry, a sensor circuitry, and a processor circuitry having a predictor circuitry configured to operate according to a prediction model. The processor circuitry is configured to obtain sensor data. The processor circuitry is configured to determine, based on the sensor data, using the predictor circuitry, a predicted time parameter indicative of a prediction of a time slot to initiate an establishment of a network with one or more other electronic devices. The processor circuitry is configured to initiate the establishment of the network with the one or more other electronic devices according to the predicted time parameter.

Abstract: A server device is configured to provide a combined environment and includes processor circuitry configured to determine first parameters indicative of a first location, generate first environment data indicative of the first location, determine second parameters indicative of a second location, and associate the second parameters with the first environment data for providing combined environment data, and output the combined environment data.

Abstract: A method for monitoring a primary variable is carried out in a device having access to a set of sensors. The method includes the steps of receiving, from a network service, a series of forecasted values for the primary variable, each forecasted value being associated with one of a series of future time points; for at least one of the future time points, predicting a value for the primary variable using data of at least one secondary variable captured by a subset of the set of sensors, comparing the predicted value to the forecasted value associated with the future time point, and switching to a different subset of the set of sensors, if the predicted value deviates from the forecasted value with more than a specified threshold value.

Abstract: An electronic device configured to monitor an object. The electronic device is configured to generate a first area indicative of a person, generate a second area indicative of an object, determine, based on the first area and the second area, an interaction parameter indicative of an interaction between the person and the object, determine, based on the interaction parameter, a status indicator of the object, generate a maintenance indicator based on the status indicator, and output the maintenance indicator.

Abstract: The present disclosure provides a method, performed in a wireless device, for enabling controlled communication of non-real time data while the wireless device is registered with a radio network node for communicating real-time data. The method comprises receiving a network data indicator indicative of one or more suitable data transfer occasions to communicate the non-real time data over the radio network node. The method comprises determining based on the network data indicator whether any non-real time data is to be communicated in the one or more data transfer occasions. The method comprises, upon determining that non-real time data is to be communicated, communicating non-real time data over the radio network node to an external node at the one or more data transfer occasions.

Abstract: A method, a device, and a non-transitory storage medium having instructions to receive a request to begin an adaptive streaming session; receive, in response to receiving the request, context information, wherein the context information pertains to a link state between the device and another device that provides a streaming media; calculate, based on the context information, values for dynamic parameters pertaining to the adaptive streaming session, wherein the dynamic parameters pertain to buffer management and codec selection; and provide, based on the values for the dynamic parameters, the streaming media to a user.

Abstract: Methods and apparatus are provided for controlling a session of an application executed by a User Equipment (UE), using an Edge Computing (EC) management entity configured to manage EC servers comprising computer resources. The EC management entity obtains server information including mobility information related to a first movable EC server. A connection between the UE and the first movable EC server is managed based on the received mobility information.

Abstract: A device determines the positioning of objects in a scene by implementing a robust and deterministic method. The device obtains object detection data (ODD) which identifies the objects and locations of reference points of the objects in views of the scene. The obtained ODD is processed to identify a first image object of a first view as a mirror reflection of a real object. A virtual view associated with a virtual camera position is created, including the ODD associated with the first image object of the first view. The ODD associated with the first image object is removed from the first view. Based on the ODD associated with at least said virtual view and a further view of the one or more views, a position of said first image object is computed.

Abstract: A control system in a delivery system performs a method to deliver a payload by an unmanned aerial vehicle, UAV, without requiring presence of the recipient even if the payload comprises sensitive or vulnerable goods. The method comprises obtaining a designated location for delivery of the payload, obtaining at least one payload vulnerability index for the payload, and obtaining a pick-up time indicative of a time point when the payload is expected to be retrieved by the recipient. The method further comprises selecting a final delivery area at or near the designated location as a function of the at least one payload vulnerability index and the pick-up time, and operating the UAV to deliver the payload to the final delivery area.

Abstract: An electronic device includes a memory circuitry, an interface circuitry, a sensor circuitry, and a processor circuitry having a predictor circuitry configured to operate according to a prediction model. The processor circuitry is configured to obtain sensor data. The processor circuitry is configured to determine, based on the sensor data, using the predictor circuitry, a predicted time parameter indicative of a prediction of a time slot to initiate an establishment of a network with one or more other electronic devices. The processor circuitry is configured to initiate the establishment of the network with the one or more other electronic devices according to the predicted time parameter.

Abstract: A system performs a control method to launch an unmanned aerial vehicle, UAV. The control method includes calculating a selected altitude, relative to a reference level, for launching the UAV, operating a lifting arrangement to vertically elevate the UAV to the selected altitude, and causing the UAV to be launched from the selected altitude. Elevating the UAV may improve the performance of the UAV in terms of range, power consumption, ability to carry payload, transit time to destination, etc. The selected altitude may be calculated as a function of parameter data representing any of the UAV, the lifting arrangement, or surrounding conditions. An apparatus is further provided to determine an optimal location of the system in relation to a plurality of destinations of UAVs to be elevated by the system.