There are disclosed devices, methods, and systems for electronic communication enhanced with visual indicators of metadata. Metadata is received from a plurality of disparate sources, the metadata reflective of at least one of location, social connectedness, biomechanics, mood, and health and wellness states of an individual with whom a user is engaging in electronic communication. A visual representation of the metadata is generated, the visual representation including a plurality of visual indicators of the states. A user interface for electronic communication with the individual is presented, the user interface including the visual representation of the metadata. While the user is engaging in electronic communication with the individual, updated metadata from at least one of the disparate sources is received, and the user interface is updated to reflect the updated metadata.

A user terminal positioning method is used in an edge cloud server, and includes: receiving satellite positioning information sent by a user terminal; determining a location service area in which the user terminal is located; on the basis of the location service area, acquiring a differential correction model corresponding to the location service area from a public cloud server; using the satellite positioning information and the differential correction model to implement location calculation to obtain location information of the user terminal; and sending the location information to the user terminal.

An apparatus, method and computer program is described including: detecting a tracking tag in proximity of a user device (the tracking tag not being pre-associated with the user device); responsive to the detection (and while the tracking tag remains in proximity of the user device): identifying one or more contextual parameters associated with the tracking tag; and responsive to determining that the identified one or more contextual parameters meet a predetermined criterion or criteria, issuing or causing issuance of an alert to the user device and/or to the tracking tag.

This application provide a MEC-based positioning method, a device, and a wireless communication system. The method includes: A first network element receives first positioning request information for requesting to position a terminal, and the first positioning request information carries identification information of the terminal. The first network element determines, based on the first positioning request information, a positioning functional entity for positioning the terminal, where the positioning functional entity is a positioning server. The first network element obtains second positioning request information based on the first positioning request information, and sends the second positioning request information to the positioning server. After receiving the second positioning request information, the positioning server sends measurement request information to the terminal via a user plane, to request the terminal to report measurement data. Then, the positioning server positions the terminal based on the measurement data reported by the terminal via the user plane.

Pairing of multiple devices is initiated using a computer in an artificial intelligence (AI) ecosystem. A command is received at a computer to perform a user activity at a location which includes pairing a user device to a selectable device at the location. The context of the command is analyzed including a historical corpus regarding previous pairings and connection preferences. A device at the location is selected based on the analysis and the determining of the user activity. Pairing is automatically initiated for the user device to the selected device at the location based on the analysis of the context of the command. The automatic initiation includes adjusting settings on the user device based on the analysis of the context of the command. The user device is automatically paired to the selected device at the location to perform the user activity.

Pairing of multiple devices is initiated using a computer in an artificial intelligence (AI) ecosystem. A command is received at a computer to perform a user activity at a location which includes pairing a user device to a selectable device at the location. The context of the command is analyzed including a historical corpus regarding previous pairings and connection preferences. A device at the location is selected based on the analysis and the determining of the user activity. Pairing is automatically initiated for the user device to the selected device at the location based on the analysis of the context of the command. The automatic initiation includes adjusting settings on the user device based on the analysis of the context of the command. The user device is automatically paired to the selected device at the location to perform the user activity.

A sensor node system for mapping hydraulic fractures may include a localization system that identifies location information of the sensor node device with respect to an area of interest in a rock formation. The location information may include various magnetization parameters indicative of various signal strengths surrounding the sensor node device. The sensor node device may include a transceiver that exchanges signals with a base station and at least one other sensor node device. The transceiver establishes a communication link between the base station and the sensor node device. The transceiver may monitor at least one other communication link between the at least one other sensor node device and the base station. The sensor node device may include a processor that identifies distance information based on the location information and a predetermined number of signals associated to the various signal strengths surrounding the sensor node device.

A sensor node system for mapping hydraulic fractures may include a localization system that identifies location information of the sensor node device with respect to an area of interest in a rock formation. The location information may include various magnetization parameters indicative of various signal strengths surrounding the sensor node device. The sensor node device may include a transceiver that exchanges signals with a base station and at least one other sensor node device. The transceiver establishes a communication link between the base station and the sensor node device. The transceiver may monitor at least one other communication link between the at least one other sensor node device and the base station. The sensor node device may include a processor that identifies distance information based on the location information and a predetermined number of signals associated to the various signal strengths surrounding the sensor node device.

Aspects of the subject disclosure may include, for example, identifying a first position of a first user, identifying a first context associated with the first user, determining, based on the first position and the first context, at least a first action that is recommended to be taken, and providing at least one output that provides an indication of the at least a first action. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, identifying a first position of a first user, identifying a first context associated with the first user, determining, based on the first position and the first context, at least a first action that is recommended to be taken, and providing at least one output that provides an indication of the at least a first action. Other embodiments are disclosed.