Systems and methods for an On-Demand Autonomy (ODA) service. The system includes a set of functional modules enabled for ODA service activities disposed in a follower vehicle (Fv) in communication with an ODA server that includes a user request module configured to receive request information from the Fv from the ODA server, and to process and communicate the request information to the schedule module; the schedule module configured to coordinate an arrival time information with the ODA server for pickup of the Fv based on the request information, and communicate the arrival time information to the schedule execution module; the schedule execution module configured to direct the Fv to a pickup point based on the arrival time information, and communicate the pickup point to the indication module; and the indication module configured to provide alerts to vehicles in the vicinity of the pickup of the Fv via the ODA service.

An example operation includes one or more of collecting, by the transport, data from a device associated with an occupant containing an amount of movement of the device and an amount of time elapsed during the movement, and determining an injury level of the occupant based on the data after a collision.

The present disclosure describes clinical workflows, methods, and systems used to perform an indirect to direct subjective refraction to a patient with a mobile smartphone application that works as a encrypted remote administration tool in any portable electronic device and interconnect both systems via by 4G, 5G, 6G, or Wifi. According to various embodiments, an eye doctor may utilize a remote administration tool (RAT) or (RAS) remote access software application on a portable electronic device (PED) (smartphone, tablet, or laptop) to view and control the main control base (MCB) anywhere in the world to interconnect both systems. The eye doctor can perform an on-demand live subjective vision refraction via RAT technology. Furthermore, the eye doctor can control the (MCB) that can control, exam chair, digital phoropter, vision chart software, robotic phoropter arm, exam chair height, exam room lights, and near robotic chart arm anywhere in the world.

Methods, apparatus, systems, and computer-readable media are provided for tailoring composite graphical assistant interfaces for interacting with multiple different connected devices. The composite graphical assistant interfaces can be generated proactively and/or in response to a user providing a request for an automated assistant to cause a connected device to perform a particular function. In response to the automated assistant receiving the request, the automated assistant can identify other connected devices, and other functions capable of being performed by the other connected devices. The other functions can then be mapped to various graphical control elements in order to provide a composite graphical assistant interface from which the user can interact with different connected devices. Each graphical control element can be arranged to reflect how each connected device is operating simultaneous to the presentation of the composite graphical assistant interface.

Methods, apparatus, systems, and computer-readable media are provided for tailoring composite graphical assistant interfaces for interacting with multiple different connected devices. The composite graphical assistant interfaces can be generated proactively and/or in response to a user providing a request for an automated assistant to cause a connected device to perform a particular function. In response to the automated assistant receiving the request, the automated assistant can identify other connected devices, and other functions capable of being performed by the other connected devices. The other functions can then be mapped to various graphical control elements in order to provide a composite graphical assistant interface from which the user can interact with different connected devices. Each graphical control element can be arranged to reflect how each connected device is operating simultaneous to the presentation of the composite graphical assistant interface.

A method for enabling a secure communication with a target device over a network includes: opening an unsecured OPC UA Endpoint by an OPC UA Server that runs on the target device; connecting to the OPC UA Server over the network by an OPC UA Client running on a first device, and requesting the initial device certificate; receiving the initial device certificate by unsecured communication over the network; validating, by the first device, the initial device certificate; establishing, by the first device, a device certificate; encrypting, by the first device, at least the device certificate; sending the encrypted data over the network; decrypting, by the target device, the encrypted data using an initial device private key associated with the initial device certificate to obtain at least the device certificate; storing the device certificate on the target device; and opening a secured OPC UA Endpoint by the OPC UA Server.

A road-side network node for operating in a cell-supported radio communications network is provided. The road-side network node comprises a processor, a memory, a radio module, and an antenna. The road-side network node is configured to: determine or receive a gap information indicating a transmission gap period on a sidelink radio channel; and transmit an energy signature via the sidelink radio channel within the transmission gap period.

A method and control unit for configuring an add-on interface of a vehicle are presented. The vehicle comprises at least one vehicle internal system, at least one add-on system, the add-on system being arranged in the vehicle after the vehicle is produced by a manufacturer, and at least one internal communication unit arranged for communication with at least one vehicle external communication unit. The method comprises: receiving, using the at least one internal communication unit, configuration information related to at least one sensor of the vehicle from the at least one vehicle external communication unit; and configuring, based on the configuration information, how at least one sensor signal S.sub.sensor from the at least one sensor is to be processed by an add-on interface, the add-on interface being arranged in the vehicle as an interface between the at least one vehicle internal system and the at least one add-on system.

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.

The present disclosure describes various embodiments of systems, apparatuses, and methods for large-scale processing of weather-related data. For one such system, the system comprises a database of weather-related data providing from a plurality of weather monitoring stations and a plurality of interconnected processors for coordinating a data processing job for processing a set of input weather-related data from the database. Accordingly, the input data comprises sensor data from an array of weather monitoring stations positioned on an open shoreline during a hydrodynamic event, weather model data for the hydrodynamic event, and at least one of air-craft reconnaissance data or satellite reconnaissance data regarding the hydrodynamic event, wherein the plurality of interconnected processors are configured to assimilate the input data and generate, using machine learning, an improved weather prediction model for the hydrodynamic event. Other systems, apparatuses, and methods are also provided.