Abstract: In a neural network training method, a training device trains a neural network model based on a second training data set to obtain a target neural network model. The neural network model includes an expert network layer, which includes a first expert network of a first service field. The training device determines an initial weight of the first expert network based on a first word vector matrix, and obtains the first word vector matrix through training based on a first training data set of the first service field.

Abstract: This application discloses an access control method, an electronic device, and a system, so as to run different instances when a callee provides services for different callers, and keep isolation between memory data of the different instances. This resolves a problem that memory data of each caller is abused, misused, or leaked, and ensures data security.

Abstract: An AC-DC power converter has a power factor correction stage that receives grid power and produces DC bus power. A DC-DC converter stage receives the DC bus power and produces a DC output power. Energy storage is provided by a larger capacitance value first capacitor and a smaller capacitance value second capacitor coupled in series across the DC bus power with a switching device coupled in parallel with the smaller second capacitor. During converter start-up, the switching device is turned off and inrush current is controlled by transferring energy from the second capacitor to the first capacitor. During operation the switching device is turned on and the first capacitor provides energy storage for the DC bus power. When grid power is disconnected, hold-up time is extended by turning the switching device off and transferring energy from the first capacitor to the second capacitor.

Abstract: A method for an access point to schedule obtaining frames from stations connected thereto is provided. Real-time applications provide frames and frame due dates to the stations. The frames and their due dates are stored in respective buffers of the stations. Each station identifies the earliest due date of all its buffered frames and provides the earliest due date to the access point. The access point orders the due dates and schedules the stations according to the order of the due dates. The access point then communicates with the stations according to the schedule and obtains the frames. A WLAN system implementing the method is also provided.

Abstract: A projection display method and an electronic device provide a source end device configured to project for display a first display interface of a first application onto a first window of a target device and to synchronously project for display on a second window of the target device a second display interface of a second application. When the source end device detects a call event, the source end device may provide a call interface for the call event and, upon the occurrence of predetermined conditions, terminate display of the call interface of the call event and optionally display a preset image to block display of all or part of the call interface.

Abstract: This application provides a method and an apparatus for sending feedback information and a method and an apparatus for receiving feedback information, to reduce resource waste in a data retransmission process.

Abstract: Example methods and apparatus for transmitting ACK/NACK information for data are disclosed. One method includes sending a data packet from a base station to a user equipment. A control signaling is transmitted from the base station to the user equipment and is used to indicate a subframe to be used by the user equipment to send ACK/NACK information corresponding to the data packet.

Abstract: This application provides a method for training a neural network model and an apparatus. The method includes: obtaining annotation data that is of a service and that is generated by a terminal device in a specified period; training a second neural network model by using the annotation data that is of the service and that is generated in the specified period, to obtain a trained second neural network model; and updating a first neural network model based on the trained second neural network model. In the method, training is performed based on the annotation data generated by the terminal device, so that in an updated first neural network model compared with a universal model, an inference result has a higher confidence level, and a personalized requirement of a user can be better met.

Abstract: A user terminal, a debugging device, and a data backup method are provided. The user terminal includes a storage component, an I/O controller, a main controller, a first CC controller, a first MUX, a second MUX, a third MUX, and a first interface. The first CC controller is connected to each of the first interface and a first signal selection input end of the first MUX; a first signal input end of the first MUX is connected to the I/O controller, a second signal input end of the first MUX is connected to the main controller, and a first signal output end of the first MUX is connected to the first interface; the main controller is connected to each of a second signal selection input end of the second MUX and a third signal selection input end of the third MUX.

Abstract: A method of video coding, wherein the method comprises inter-prediction processing of a first block, wherein the inter-prediction processing comprises subpixel interpolation filtering of samples of a reference block; intra-prediction processing of a second block, wherein the intra-prediction processing comprises subpixel interpolation filtering of reference samples; wherein the method further comprises selecting interpolation filter coefficients for the subpixel interpolation filtering based on a subpixel offset between integer reference sample positions and fractional reference samples' positions, wherein for the same subpixel offsets the same interpolation filter coefficients are selected for intra-prediction processing and inter-prediction processing.

Abstract: Embodiments of this application provide a cross-chain transaction method and apparatus. The cross-chain transaction method includes determining, by a first node, that a first transaction status of a first transaction is a first status, the first status indicating that consensus verification on the transaction succeeded, the first node maintaining a first blockchain and the first transaction belonging to the first blockchain. The method includes obtaining, by the first node, a second transaction status of a second transaction, a second node maintaining a second blockchain and the second transaction belonging to the second blockchain. The method includes modifying, by the first node, target data, the modifying being based on first transaction data of the first transaction when the second transaction status of the second transaction is the first status, the target data comprising data in a state machine of the first node, the target data being related to the first transaction.

Abstract: The present disclosure relates to user plane information reporting methods and apparatus. In one example method, a session management network element obtains parameter information, and initiates establishment of a dedicated tunnel between a first communications apparatus and a second communications apparatus, where the parameter information indicates the first communications apparatus to report user plane information when a reporting condition is met. The session management network element sends a first rule to the first communications apparatus, where the first rule indicates the first communications apparatus to send a packet to the second communications apparatus through the dedicated tunnel when the reporting condition is met.

Abstract: The disclosure relates to technology for determining vehicle environment interaction metrics and/or passenger behavioral metrics for autonomous vehicles in a driving environment. A group of one or more autonomous vehicles independently determine a VEI score for a target vehicle within a predefined vicinity of the group of one or more vehicles. A target vehicle may determine a VPB score based on passengers within the target vehicle. VEI scores and/or VPB scores determined for a target vehicle may be used by the target vehicle to reinforce and/or correct driving actions of the target vehicle.

Abstract: A fault detection method includes: obtaining a video quality parameter of a monitored video stream, where the video quality parameter is determined according to a packet loss recovery method of the monitored video stream, the video quality parameter includes an effective packet loss factor, and the effective packet loss factor is used to indicate effectiveness of network packet loss recovery performed by using the packet loss recovery method of the monitored video stream; and performing fault detection based on the video quality parameter of the monitored video stream.

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 discontinuous reception apparatus for a terminal, where discontinuous reception includes a sleep period and an active period that are of the terminal and that are indicated by a network. The apparatus includes: a receiving circuit configured to receive motion state information of the terminal, where the motion state information is used to indicate a motion state of the terminal; and a first processing circuit configured to determine, based on the motion state of the terminal, duration for waking up the terminal in advance, and enable the terminal to enter the active period in advance by the duration before the sleep period indicated by the network ends. The apparatus is configured to enter, based on a change in the motion state of the terminal or a change in received signal quality, the active period in advance before the sleep period indicated by the network ends.

Abstract: There is provided methods and processors for executing Forward Error Correction (FEC) coding. The method includes acquiring a stream of real data symbols from a communication medium. The stream of real data symbols being arranged in a real matrix. The method includes generating virtual data symbols being arranged in a virtual matrix. The generating includes applying an interleaver map onto the matrix such that (i) at most c number of virtual data symbols in a given virtual row of the virtual matrix are copies of (ii) real data symbols associated with a same real row of the real matrix, c being a positive integer higher than 1. The method includes decoding codewords formed by the virtual matrix and the matrix.

Abstract: Methods and systems for gesture-based control of a device are described. A virtual gesture-space is determined in a received input frame. The virtual gesture-space is associated with a primary user from a ranked user list of users. The received input frame is processed in only the virtual gesture-space, to detect and track a hand. Using a hand bounding box generated by detecting and tracking the hand, gesture classification is performed to determine a gesture input associated with the hand. A command input associated with the determined gesture input is processed. The device may be a smart television, a smart phone, a tablet, etc.