The present disclosure provides a connection method, an electronic device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the technical fields of internet of vehicles and intelligent transportation. The method includes: when it is determined that a connection between a terminal and a vehicle fails, obtaining identification information of the vehicle and log information of the terminal; sending the identification information and the log information to a server, and receiving at least one connection solution that is issued by the server and matches the identification information and the log information; and controlling, according to the at least one connection solution, the terminal to connect with the vehicle.

The present disclosure provides a connection method, an electronic device, and a storage medium, which relate to the technical field of artificial intelligence and, in particular, to the technical fields of internet of vehicles and intelligent transportation. The method includes: when it is determined that a connection between a terminal and a vehicle fails, obtaining identification information of the vehicle and log information of the terminal; sending the identification information and the log information to a server, and receiving at least one connection solution that is issued by the server and matches the identification information and the log information; and controlling, according to the at least one connection solution, the terminal to connect with the vehicle.

In a cable network, embodiments detect and remediate a non-responsive customer premise equipment (CPE) device in a customer's premise with minimal or no interaction with a customer. Embodiments may detect and remediate a non-responsive CPE device without rebooting the non-responsive CPE device or the associated cable modem. Embodiments include troubleshooting a data link layer (e.g., Open System Interconnection (OSI) layer 2, or media access control (MAC) layer) and a network layer (e.g., OSI layer 3, or Internet layer) between a service operator network and the non-responsive CPE device. Embodiments include a guided integration and a proactive integration method, computer program product, and system to reduce and/or eliminate the need for a customer service representative to reboot a cable modem, and/or for a customer to reboot a non-responsive CPE device resulting in a fast and less disruptive service experience for the customer.

In a cable network, embodiments detect and remediate a non-responsive customer premise equipment (CPE) device in a customer's premise with minimal or no interaction with a customer. Embodiments may detect and remediate a non-responsive CPE device without rebooting the non-responsive CPE device or the associated cable modem. Embodiments include troubleshooting a data link layer (e.g., Open System Interconnection (OSI) layer 2, or media access control (MAC) layer) and a network layer (e.g., OSI layer 3, or Internet layer) between a service operator network and the non-responsive CPE device. Embodiments include a guided integration and a proactive integration method, computer program product, and system to reduce and/or eliminate the need for a customer service representative to reboot a cable modem, and/or for a customer to reboot a non-responsive CPE device resulting in a fast and less disruptive service experience for the customer.

The invention relates to a method for detecting a multimedia communication problem. In one aspect, this is implemented by an execution entity, in a processing phase. A message(s) is received that belongs to at least one stream to be monitored relating to at least one media stream. A correspondence between the received message(s) and rule(s) associated with a stream(s) to be monitored is verified. If verified an error detection massage is sent to a checking entity separate from the execution entity, via a rule management entity.

The invention relates to a method for detecting a multimedia communication problem. In one aspect, this is implemented by an execution entity, in a processing phase. A message(s) is received that belongs to at least one stream to be monitored relating to at least one media stream. A correspondence between the received message(s) and rule(s) associated with a stream(s) to be monitored is verified. If verified an error detection massage is sent to a checking entity separate from the execution entity, via a rule management entity.

A method for invoking a teleoperated driving session for a transportation vehicle equipped with an automated driving function, hereinafter called teleoperated driving session, wherein the transportation vehicle is equipped with a number of environment detection sensors and a communication module for communicating to a control center computer. The method includes determining a quality of service prediction for the communication between the transportation vehicle and the control center computer for the time when the teleoperated driving session is invoked, and selecting the class of data to be exchanged with the control center computer during the teleoperated driving session based on the QoS prediction. The method includes selecting the control category for the teleoperated driving session based on at least the available end-to-end latency presented in the QoS prediction and starting the teleoperated driving session with the selected control category and selected data class to be exchanged with the control center computer.

A method for invoking a teleoperated driving session for a transportation vehicle equipped with an automated driving function, hereinafter called teleoperated driving session, wherein the transportation vehicle is equipped with a number of environment detection sensors and a communication module for communicating to a control center computer. The method includes determining a quality of service prediction for the communication between the transportation vehicle and the control center computer for the time when the teleoperated driving session is invoked, and selecting the class of data to be exchanged with the control center computer during the teleoperated driving session based on the QoS prediction. The method includes selecting the control category for the teleoperated driving session based on at least the available end-to-end latency presented in the QoS prediction and starting the teleoperated driving session with the selected control category and selected data class to be exchanged with the control center computer.

The invention relates cloud based IoT network monitoring and validation to enable optimal network selection and connectivity for IoT sensors. The present invention relates to a system to measure the signal quality directly from the network module of IoT sensors. It comprises of an application programming interface (API) 105, a Network detection dongle 103, communication network 110, server 115, network modules of network operators and IoT sensors 120, to be deployed or installed. The invention also relates to a method for determination of signal strength from network module of IoT sensors, wherein the API 105 is configured to run network detection software to determine and validate an optimal location for IoT sensor/device installation or deployment based on the highest signal strength.

Systems, methods, and non-transitory computer-readable storage media are provided for predicting the likelihood or probability of a subscriber of a service to cancel or not renew a subscription. A method, according to one implementation, includes a step of receiving data pertaining to aspects of a service that is provided by a service provider to a subscriber in accordance with a subscription. The data may include one or more impact factors each having a positive, neutral, or negative influence on the likelihood of subscriber churn. The method also includes a step of using the one or more impact factors to predict the likelihood that the subscriber will cancel the subscription.