Abstract: A Belief Propagation (BP) equalization method and apparatus, a communication device and a storage medium are disclosed. The method may include: splitting a received signal Yc, a channel estimation Hc and a symbol estimation Xc into real parts and imaginary parts to obtain a received signal matrix Y, a channel estimation matrix H and a symbol estimation matrix X (S101); performing orthogonal triangular (QR) decomposition on the channel estimation matrix H to obtain an equivalent received signal Ybp, an equivalent channel R and a noise power ?2 (S102); and performing iteration based on the equivalent received signal Ybp, the equivalent channel R and the noise power ?2 to obtain a position probability of per stream symbol (S103).

Abstract: The present disclosure discloses a denoising method and a system for preserving amplitude variation with offset (AVO) features of pre-stack seismic data. The method includes: acquiring seismic wave data at at least one receiving point through a seismic signal acquisition device, and storing the seismic wave data in a memory; in response to ending of an acquisition operation of the seismic signal with the seismic signal acquisition device, determining, based on the seismic wave data in the memory, pre-denoising angle gather data through a processing device; and obtaining and outputting a denoised angle gather signal through inputting the pre-denoising angle gather data to a denoising device and performing denoising processing on the pre-denoising angle gather data based on the denoising device.

Abstract: This disclosure provides a method and a system for detecting and recognizing a target object in a real-time video. The method includes: determining whether a target object recognition result RX-1 of a previous frame of image of a current frame of image is the same as a target object recognition result RX-2 of a previous frame of image of the previous frame of image; performing target object position detection in the current frame of image by using a first-stage neural network to obtain a position range CX of a target object in the current frame of image when the two recognition results RX-1 and RX-2 are different; or determining a position range CX of a target object in the current frame of image according to a position range CX-1 of the target object in the previous frame of image when the two recognition results RX-1 and RX-2 are the same; and performing target object recognition in the current frame of image according to the position range CX by using a second-stage neural network.

Abstract: This disclosure provides a method and a system for detecting and recognizing a target object in a real-time video. The method includes: determining whether a target object recognition result RX-1 of a previous frame of image of a current frame of image is the same as a target object recognition result RX-2 of a previous frame of image of the previous frame of image; performing target object position detection in the current frame of image by using a first-stage neural network to obtain a position range CX of a target object in the current frame of image when the two recognition results RX-1 and RX-2 are different; or determining a position range CX of a target object in the current frame of image according to a position range CX-1 of the target object in the previous frame of image when the two recognition results RX-1 and RX-2 are the same; and performing target object recognition in the current frame of image according to the position range CX by using a second-stage neural network.

Abstract: An image data processing method is provided. In the method, a first image data set that includes image data arranged according to a first data format is acquired. The first data format has a first number of dimensions. Interleaving and rearrangement are performed on the image data in the first image data set based on a convolution operation to obtain a second image data set. The image data in the second image data set is arranged according to a second data format. The second data format has a second number of dimensions. The second number of dimensions of the second data format is less than first number of dimensions of the first data format. A target output result is generated based on the convolution operation performed on the second image data set and a second weight data set. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: A method for performing a conference communication by an intelligent is disclosed. The method includes sending, via a conference link to a conference server, an access request specifying a mapping character string and an identifier of an operating system running in the intelligent terminal; receiving a protocol string from the conference server generated according to the mapping character string and the identifier in the access request, the protocol string comprising a conference attendance credential; automatically initiating an instant message (IM) client in the operating system according to the protocol string; and sending an IM user identifier associated with the intelligent terminal and the conference attendance credential to the conference server to add the IM user identifier to a temporary IM user group corresponding to the conference attendance credential and establishing an Internet channel for the temporary IM user group to perform the conference communication via the IM client.

Abstract: The disclosure relates to method and apparatus for operating image data. The method includes: reading matrix data from the image data based on a matrix size, M rows and N columns, of an image operator (220); calculating column data in the matrix data with a single calculation instruction corresponding to the image operator, to obtain an intermediate calculation result (240); multiplexing and rearranging the intermediate calculation result into N rows of cached data (260); calculating matrix elements of a target column in the N rows of cached data with the single calculation instruction, to obtain a calculation result of the matrix data under the single calculation instruction (280); and outputting the calculation result as an image processing result of the matrix data by the image operator (300).

Abstract: This application relates to an image processing method and apparatus, a storage medium, and a computer device. The method includes obtaining acquired image frames; identifying, in each obtained image frame, a target area and a reference area that are obtained through image semantic segmentation; detecting, when a location relationship between the target area and the reference area in an obtained first image frame meets an action start condition and a location relationship between the target area and the reference area in an obtained second image frame meets an action end condition, an action to trigger adding an additional element, the second image frame being acquired after the first image frame; obtaining the additional element when the triggering action is detected; and adding the additional element to image frames acquired after the second image frame.

Abstract: A method for recognizing object nodes in an image includes: performing image detection on an original image, to determine a target image region that comprises a target image object, the original image being a two-dimensional image; performing image cropping on the original image according to the target image region, to obtain a subimage comprising the target image object; and performing node recognition on the subimage based on a preset node recognition model, to obtain image position information of each node of the target image object in the original image.

Abstract: A method for performing a conference communication by an intelligent terminal running an operating system is disclosed.

Abstract: A method and an apparatus for data calculation in a neural network model, and an image processing method and apparatus. The method for data calculation includes: reading weight data shared by a group of data processing of a data processing layer in a neural network model, into a GroupShared variable of a thread group of a graphics processing unit (GPU), dividing input data of the data processing layer based on the number of threads in the thread group, reading, for each group of input data, weight data corresponding to the group of input data for a data processing in the group of data processing from the GroupShared variable, and performing, by each thread in the thread group, the data processing by using a group of read input data and weight data corresponding to the group of input data, to obtain a calculation result corresponding to the group of input data.

Abstract: A conferencing communication method is disclosed, including: sending a protocol string to an intelligent terminal, so that the intelligent terminal invokes a corresponding instant messaging client according to the protocol string; receiving an instant messaging user identifier that has logged in and that is sent by the instant messaging client and an attendance credential included in the protocol string; adding the instant messaging user identifier to an instant messaging user group corresponding to the attendance credential; and establishing an Internet channel that is based on the instant messaging user group to the instant messaging client, the Internet channel being used for transmitting communication data of a member in the instant messaging user group.

Abstract: This disclosure provides a method and a system for detecting and recognizing a target object in a real-time video. The method includes: determining whether a target object recognition result RX-1 of a previous frame of image of a current frame of image is the same as a target object recognition result RX-2 of a previous frame of image of the previous frame of image; performing target object position detection in the current frame of image by using a first-stage neural network to obtain a position range CX of a target object in the current frame of image when the two recognition results RX-1 and RX-2 are different; or determining a position range CX of a target object in the current frame of image according to a position range CX-1 of the target object in the previous frame of image when the two recognition results RX-1 and RX-2 are the same; and performing target object recognition in the current frame of image according to the position range CX by using a second-stage neural network.

Abstract: This application relates to an image processing method and apparatus, a storage medium, and a computer device. The method includes obtaining acquired image frames; identifying, in each obtained image frame, a target area and a reference area that are obtained through image semantic segmentation; detecting, when a location relationship between the target area and the reference area in an obtained first image frame meets an action start condition and a location relationship between the target area and the reference area in an obtained second image frame meets an action end condition, an action to trigger adding an additional element, the second image frame being acquired after the first image frame; obtaining the additional element when the triggering action is detected; and adding the additional element to image frames acquired after the second image frame.

Abstract: A method for recognizing object nodes in an image includes: performing image detection on an original image, to determine a target image region that comprises a target image object, the original image being a two-dimensional image; performing image cropping on the original image according to the target image region, to obtain a subimage comprising the target image object; and performing node recognition on the subimage based on a preset node recognition model, to obtain image position information of each node of the target image object in the original image.

Abstract: Provided is a grid-connected inverter safety detection device applied in a photovoltaic inverter system and including voltage detection circuit, a filter circuit, a comparison circuit and a controller. The voltage detection circuit is configured to detect a voltage between the point N and the ground, or a voltage between the first terminal for any phase of the three-phase power grid and the ground. The filter circuit is configured to filter out an alternating current component of the voltage detected by the voltage detection circuit and to retain an direct current component of the voltage. The comparison circuit is configured to compare the direct current component of the voltage with a preset voltage value and transmit a comparison result to the controller. The controller is configured to determine, according to the comparison result, whether an alternating current side at the output terminal of the inverter has normal insulation.

Abstract: A conferencing communication method is disclosed, including: sending a protocol string to an intelligent terminal, so that the intelligent terminal invokes a corresponding instant messaging client according to the protocol string; receiving an instant messaging user identifier that has logged in and that is sent by the instant messaging client and an attendance credential included in the protocol string; adding the instant messaging user identifier to an instant messaging user group corresponding to the attendance credential; and establishing an Internet channel that is based on the instant messaging user group to the instant messaging client, the Internet channel being used for transmitting communication data of a member in the instant messaging user group.

Abstract: A three-level photovoltaic inverter pulse width modulation method and a three-level photovoltaic inverter pulse width modulator. The method includes: when it is detected that potential safety hazards exist in a three-level photovoltaic inverter, switching the pulse width modulation mode of the three-level photovoltaic inverter into a 13-vector space vector pulse width modulation mode, to solve the fault or abnormal problems in the three-level photovoltaic inverter such as midpoint potential offset or excessively large common mode leakage current formed when the ground stray capacitance of a photovoltaic assembly is large, wherein according to the 13-vector SVPWM mode, 12 short vectors in 27 on-off state vectors of the three-level photovoltaic inverter are abandoned, and only six long vectors, six middle vectors and three zero vectors are reserved.

Abstract: Provided is a grid-connected inverter safety detection device applied in a photovoltaic inverter system and including voltage detection circuit, a filter circuit, a comparison circuit and a controller. The voltage detection circuit is configured to detect a voltage between the point N and the ground, or a voltage between the first terminal for any phase of the three-phase power grid and the ground. The filter circuit is configured to filter out an alternating current component of the voltage detected by the voltage detection circuit and to retain an direct current component of the voltage. The comparison circuit is configured to compare the direct current component of the voltage with a preset voltage value and transmit a comparison result to the controller. The controller is configured to determine, according to the comparison result, whether an alternating current side at the output terminal of the inverter has normal insulation.

Abstract: A system for protecting a grid-connected photovoltaic inverter may include a detection device, a photovoltaic panel, an inverter, a transformer and an inverter controller. An output terminal of the photovoltaic panel is connected to an input terminal of the inverter, the inverter inverts a direct current into an alternating current and transmits it to the transformer a secondary side of the transformer is connected to an output terminal of the inverter, and a primary side is connected to a power grid. The primary side of the transformer is star-connected, and a neutral point is grounded. The detection device is connected between the primary side and the power grid, and is configured to detect whether a single-phase open-circuit fault occurs at the primary side and transmit a fault signal to the inverter controller. The inverter controller is configured to control the inverter to stop according to the fault signal.