Abstract: A screen icon operating method includes collecting user sliding operation information. The sliding operation information includes a first location, a sliding speed, pressing duration before sliding, or a sliding direction The first location is an initial location of a user sliding operation. When the first location is not located on an icon, when the sliding speed is less than a sliding speed threshold, moving icons on a display page by columns or by rows in the sliding direction, or when the first location is located on the icon, the method determines that the pressing duration is greater than or equal to a first duration threshold and less than or equal to a second duration threshold, and moves column icons or row icons in the sliding direction.

Abstract: A service processing method includes determining a first computing power resource for executing an offline task, determining N edge servers which execute the offline task and on which cloud applications are running based on idle computing power resources of the N edge servers being greater than the first computing power resource, and scheduling the offline task to the N edge servers in a distributed mode while ensuring normal operation of the cloud applications, so that each edge server in the N edge servers executes the offline task using the idle computing power resource of the edge server.

Abstract: A method for allocating edge computing resources is performed by a computer device, the method including: obtaining computing power resource information occupied by a target application at an edge computing node and a current operating frequency of the edge computing node during operation of the target application; determining expected demand computing power resource information of the target application for the edge computing node within a target time period according to a number of newly added service objects, offline service objects, and scenario switching service objects during the target time period; and determining a target operating frequency of the edge computing node within the target time period according to the current operating frequency, the occupied computing power resource information, and the expected demand computing power resource information.

Abstract: Please replace the following substitute abstract for the abstract currently on file: A remote fault monitoring system for an electric valve includes: an MCU, a hydrogen sulfide sensor, a hydrogen sensor, a pull-press sensor and an actuating mechanism; the pull-press sensor is connected with an A/D conversion interface of the MCU by a signal amplifier, the hydrogen sulfide sensor and the hydrogen sensor are connected with the A/D conversion interface of the MCU by respective signal transmitters, and a D/A conversion interface of the MCU is connected with an opening-degree control port of the actuating mechanism by a voltage-to-current transmitter. An opening in-place signal and a closing in-place signal of the actuating mechanism are connected with a GPIO input interface of the MCU, and a GPIO output interface of the MCU is connected with an opening control port and a closing control port of the actuating mechanism by actuating mechanism relays.

Abstract: A remote fault monitoring system for an electric valve includes: an MCU, a hydrogen sulfide sensor, a hydrogen sensor, a pull-press sensor and an actuating mechanism; the pull-press sensor is connected with an A/D conversion interface of the MCU by a signal amplifier, the hydrogen sulfide sensor and the hydrogen sensor are connected with the A/D conversion interface of the MCU by respective signal transmitters, and a D/A conversion interface of the MCU is connected with an opening-degree control port of the actuating mechanism by a voltage-to-current transmitter. An opening in-place signal and a closing in-place signal of the actuating mechanism are connected with a GPIO input interface of the MCU, and a GPIO output interface of the MCU is connected with an opening control port and a closing control port of the actuating mechanism by actuating mechanism relays.

Abstract: The present disclosure provides a method and apparatus for processing three dimensional graphic data, a device, a storage medium and a product, relating to a field of artificial intelligence, in particular to a field of autonomous driving. The specific implementation is: receiving a data compression request for a target graphic element in a three dimensional electronic map, and obtaining at least one vertex data corresponding to the target graphic element; extracting a global coordinate matrix with a shared attribute in the at least one vertex data; extracting local coordinate data with a private attribute respectively corresponding to the at least one vertex data; and sending, in response to a graphic drawing request for the target graphic element, the global coordinate matrix and the local coordinate data respectively corresponding to the at least one vertex data to a graphic display device.

Abstract: A game data processing method includes: receiving a game login request from a terminal device, obtaining network communication status information between the terminal device and an edge computing node, and determining an undetermined edge computing node from the edge computing node according to the network communication status information and a game identifier, determining a target edge computing node for the terminal device from the undetermined edge computing node through the login geographical position information, obtaining object game attribute information of a game object corresponding to a game object identifier, object attribute information of the game object, and a game type of a target game corresponding to the game identifier, and determining target position information of the game login request in a queuing consumption queue according to login network type information, the object game attribute information, the object attribute information, and the game type.

Abstract: A computer device displays at least one virtual scene entrance. The at least one virtual scene entrance corresponds to at least one scene progress of a target virtual scene. The at least one scene progress is determined based on historical interaction behavior of a target object in at least one virtual scene. The computer device transmits a loading request to a first server in response to a trigger operation on a first virtual scene entrance in the at least one virtual scene entrance. The loading request is used for instructing the first server to run the target virtual scene based on a first scene progress corresponding to the first virtual scene entrance. The computer device receives, from the first server, a scene picture of the target virtual scene. The computer device displays the scene picture in response to receiving the scene picture.

Abstract: A service processing method, performed by a cloud application management server, includes: upon receiving an allocation request from a target terminal, acquiring N pieces of selection reference information corresponding to a pending edge server and related to the target terminal and running reference information, the pending edge server being one of P edge servers connected to the cloud application management server; upon determining that the pending edge server meets a requirement of providing a running service of a target cloud application for the target terminal, determining a connection reference score corresponding to the pending edge server; storing the connection reference score and identification information about the pending edge server into a candidate set; and transmitting the candidate set to the target terminal.