Abstract: This application provides a method for constructing a blockchain network based on an interior gateway protocol (IGP). A new IGP packet used to transmit a blockchain task is provided by extending the IGP. When receiving the new IGP packet, a network device can participate in execution of the blockchain task by using its idle computing power. The computing power of the network device is better utilized to construct the blockchain network, avoiding a waste of idle computing power of the network device.

Abstract: An electrical connector assembly includes an electrical connector and a metal shielding shell. The electrical connector includes an insulating body and a number of conductive terminals. The insulating body includes a slot. Each conductive terminal includes an elastic abutting portion for abutting against the circuit board. The metal shielding shell includes a receiving cavity for receiving a mating connector. When the mating connector is inserted into the receiving cavity and has not yet made contact with the conductive terminals of the electrical connector, a better shielding effect can be achieved. Besides, by electrically connecting the conductive terminals and the circuit board in a mutually abutting manner, the requirement on the complexity of the circuit board manufacturing process is reduced.

Abstract: A method and an apparatus for pressure detection, an active pen, a touch control chip and an electrode device are provided, configured to detect a pressure of the active pen on a screen. The active pen includes a pressure sensor, a wireless communication module and a tip electrode, and the pressure sensor is configured to detect the pressure generated by the active pen. The method includes: determining a second pressure level corresponding to the pressure, according to a detection signal corresponding to a first driving signal output by the tip electrode, when a pressure signal of a first pressure level corresponding to the pressure sent by the wireless communication module is not received; and displaying handwriting of the active pen, by the screen, according to the second pressure level. The method can reduce time delay of a response of a first writing of the active pen.

Abstract: An image display method includes displaying, by a terminal, a first image on a display at a first screen refresh rate, where an output frame rate of the first image is a first frame rate, and displaying, by the terminal, a second image on the display after detecting that a preset condition is met. A noise parameter is superimposed on a part of the second image, the part on which the noise parameter is superimposed is displayed at a second screen refresh rate, and an output frame rate of the part is a second frame rate. The second image includes a plurality of frames of noise-added sub-images. The second frame rate is higher than the first frame rate, and the second screen refresh rate is higher than the first screen refresh rate.

Abstract: A gas detecting module is disclosed. A gas-inlet concave and a gas-outlet concave are formed on a sidewall of a base. A gas-inlet-groove region and a gas-outlet-groove region are formed on a surface of the base. The gas-inlet concave is in communication with a gas-inlet groove of the gas-inlet-groove region, and the gas-outlet concave is in communication a gas-outlet groove of the gas-outlet-groove region. The gas-inlet-groove region and the gas-outlet-groove region are covered by a thin film to achieve the effectiveness of laterally inhaling and discharging out gas relative to the gas detecting module.

Abstract: Provided is an optical module assembly device, including: a fixing member for fixing an optical member to be assembled, a power supply component for supplying power to the optical member to be assembled, and an alignment mechanism for placing a lens to be assembled at the specified position; a beam splitting prism with an in-light surface close to the optical member to be assembled, a first image acquisition device close to a first out-light surface of the beam splitting prism and coaxial with the first out-light surface, and a second image acquisition device close to a second out-light surface of the beam splitting prism and coaxial with the second out-light surface; and a controller configured to control the alignment mechanism to adjust a position of the lens to be assembled according to the images captured by the first image acquisition device and the second image acquisition device.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, and a system for changing an association relationship between an MCPTT user and an MCPTT group. A method for changing an association relationship between an MCPTT user and an MCPTT group is performed by a first network element device, including: receiving an association change request sent by first UE, where the association change request includes request information, the request information is used to indicate that a first MCPTT user requests to change an association relationship between a second MCPTT user and a first MCPTT group, and the first MCPTT user is an MCPTT user using the first UE; and setting the association relationship between the second MCPTT user and the first MCPTT group according to the association change request.

Abstract: The present application provides a convolution calculation method, a convolution calculation apparatus, a terminal device, and a computer readable storage medium. The method includes: inputting an image to be processed into a deep learning model, and obtaining a to-be-blocked convolution group and a target size of a block from all convolution layers of the deep learning model; blocking all input channel data of a first to-be-blocked convolution layer in said convolution group according to the target size, a size of each block being the target size; obtaining an output result of said convolution group according to all blocks of all input channel data of said first convolution layer; inputting the output result of said convolution group to a specified network of the deep learning model. Sizes of blocks of the to-be-blocked convolution layer and bandwidth consumption can be adjusted to adapt to frequently updating and upgrading the deep learning model.

Abstract: A video coding or decoding method includes using history-based motion vector prediction (HMVP) for conversion between multiple video blocks including a current block of video and a bitstream representation of the multiple video blocks such that for a uni-predicted block that for which a single reference picture is used for motion compensation, refraining from updating a look-up table for HMVP candidates for the uni-predicted block. The video coding or decoding method further includes performing the conversion using look-up tables for the multiple video blocks.

Abstract: A method and an apparatus for processing a low-latency service flow, where the method includes that a first forwarding device obtains a low latency identifier corresponding to a first service flow, and obtains a second data packet based on the first data packet and the low latency identifier after determining that a received first data packet belongs to the first service flow, where the second data packet includes the first data packet and the low latency identifier, the low latency identifier instructing a forwarding device that receives the first service flow to forward the first service flow in a low-latency forwarding mode, and the low-latency forwarding mode is a mode in which fast forwarding of the first service flow is implemented under dynamic control, and the first forwarding device sends the second data packet to a second forwarding device in the low-latency forwarding mode.

Abstract: A product defect detection method and apparatus, an electronic device, and a storage medium are provided. A method includes: acquiring a multi-channel image of a target product; inputting the multi-channel image to a defect detection model, wherein the defect detection model includes a plurality of convolutional branches, a merging module and a convolutional headbranch; performing feature extraction on each channel in the multi-channel image by using the plurality of convolutional branches, to obtain a plurality of first characteristic information; merging the plurality of first characteristic information by using the merging module, to obtain second characteristic information; performing feature extraction on the second characteristic information by using the convolutional headbranch, to obtain third characteristic information to be output by the defect detection model; and determining defect information of the target product based on the third characteristic information.

Abstract: A full-screen optical component, applied to an electronic device comprising a display screen, comprising a backlight module, an active light sensor including a sensor and a light emitter, and a dimmer. The display screen and the active light sensor are located on two opposite sides of the backlight module. The backlight module includes a first prism film and a second prism film stacked on the first prism film. The first prism film includes several first prisms. The second prism film includes several second prisms. The first prism includes a first in-light surface, and the second prism includes a second in-light surface. A display surface of the display screen, the first in-light surface, and the second in-light surface are disposed in parallel. The dimmer is configured to direct light emitted by the light emitter to the first in-light surface at an incident angle that is inclined relative to a vertical direction.

Abstract: Disclosed is a method for converting image data. The method includes: acquiring image data of a target image, wherein the image data includes first pixel values of m pixels in the target image, each of the first pixel values includes a first color value of at least one color channel, the first color value being within a target color value interval of the at least one color channel; dividing the target color value interval into n color value partitions; determining a color value partition where the first color value falls from the n color value partitions; and converting the first color value into a second color value according to a position of the first color value in the color value partition, the number of bits occupied by the second color value being less than the number of bits occupied by the first color value.