5 results about "Service provider interface" patented technology

An application initiates a communications session with an emergency services agency. The application determines an emergency contact services interface with an association to a first destination address corresponding to a first country in which the user device last initialized the application. The application determines, based on location data, whether the user device has entered a second country, and reprograms, in response to determination of entry into the second country, the emergency contact services interface with an association to a second destination address of an emergency services agency of the second country. Responsive to detecting selection of the emergency contact services interface, a data communication session is established with the emergency services agency of the second country, the data communication session sharing at least audio and auxiliary information with the emergency services agency of the second country.

Network address migration using a destination compute instance to update network configuration information in a cloud environment is disclosed. A network interface either using a private address within a subnet corresponding to the created network interface or using a floating address outside of the subnet corresponding to the created network interface is created. A first node of the HA pair with a service provider interface. The first node is an active data server of the HA pair, and the second node is a backup node of the HA pair. Requests are serviced the first node using the created network interface. Upon failure of the first node, the second node performs a failover, wherein if the first node was utilizing a floating address, the second node registers the second node with the service provider interface by adding an address of the second node to the route table.

The invention provides an address resolution system and an address resolution method, and the system comprises an address standardization module which is used for carrying out the standardization verification of the input address information at a client address filling stage; the historical coordinate library is used for recording coordinate data used in a historical delivery process and associating corresponding original address information; the city classification module is used for grading cities and providing differentiated processing strategies for address resolution; the similarity scoring module is used for performing semantic similarity scoring by comparing attribute differences of the original address and the resolution address in multiple dimensions; the coordinate analysis engine is used for preferentially querying a historical coordinate library to obtain existing coordinates; calling a map service provider interface to obtain coordinates when there is no historical record; carrying out city grade and street integrity verification on the returned coordinates; executing multi-coordinate distance calculation; automatically judging the availability of coordinates according to a semantic similarity scoring result; and performing intelligent delivery planning according to a semantic similarity scoring result.

An application initiates a communications session with an emergency services agency. The application determines an emergency contact services interface with an association to a first destination address corresponding to a first country in which the user device last initialized the application. The application determines, based on location data, whether the user device has entered a second country, and reprograms, in response to determination of entry into the second country, the emergency contact services interface with an association to a second destination address of an emergency services agency of the second country. Responsive to detecting selection of the emergency contact services interface, a data communication session is established with the emergency services agency of the second country, the data communication session sharing at least audio and auxiliary information with the emergency services agency of the second country.

The application discloses a hub AI travel small assistant working method based on multi-modal fusion and MaaS cooperation, which comprises the following steps: 1, collecting the demand of a user through a man-machine interaction interface, understanding the intention of the user through a natural language processing (NLP) module, and using a service arrangement engine to disassemble the demand of the user into several sub-services; 2, collecting the individual preference of the user according to all the sub-services; 3, automatically calling internal algorithm modules and external service provider interfaces in logical order; 4, using an AI large model to perform fusion analysis on multi-dimensional data obtained by using the internal algorithm modules and the external service provider interfaces, calculating the comprehensive utility of each travel scheme in real time, and performing sorting and recommendation; the sorting and recommendation is a recommended travel service mode combined with the individual preference; 5, realizing the corresponding sub-service through the external service provider interface. The application solves the fundamental contradiction between service fragmentation and demand diversification.