5results about How to "Implement decoding" patented technology

The invention discloses an electric vehicle charging load prediction method, system and device and a storage medium, and relates to the technical field of electric power, and the method comprises the steps: generating graph structure charging load data based on multi-station charging load data; based on the graph structure charging load data, executing a graph convolutional network-gating time convolutional network adopting an adaptive adjacency matrix, and generating hidden layer representation containing spatial adjacency information; the hidden layer representation and the external features are spliced and input to a time domain fusion Transform, and an electric vehicle charging load prediction result is output; according to the method, the spatial correlation extraction and time-dependent modeling of the charging load are realized by constructing the graph convolutional network-gating time convolutional network based on the adaptive adjacency matrix and the time domain fusion Transform model, and the precision and interpretability of multi-station load prediction are improved in combination with variable selection and an interpretable multi-head attention mechanism.

The present application belongs to the field of defect detection, in particular to a pipe network weld flaw detection defect recognition method and system, comprising: acquiring a pipe network weld initial radiographic image, extracting a global feature atlas through a first deep convolution network, and decoding to generate a defect prediction confidence map; extracting a weld key geometric structure, and constructing a geometric prior weight map; applying Bayesian variational inference to the network, statistically dispersing the results of multiple random forward propagation, representing cognitive uncertainty and generating an uncertainty map; pixel-level weighted fusion of the confidence map, the uncertainty map and the geometric prior weight map to obtain a probability heat map, based on which a composite sampling guide vector field is constructed, sampling points are arranged along the vector field, and a multi-angle scanning imaging system is controlled to collect high-resolution local projection data; three-dimensional reconstruction of the projection data to obtain local features, fusion of the local features and global features through a cross-attention module to generate an enhanced defect representation, and output of the class, three-dimensional spatial position and size of the weld defect.

A programmable 3D beam shaping device based on beamlet printing technology, comprising a laser source, the laser source emits initial laser, the initial laser adjusts the polarization state through a rotatable half-wave plate, and then is separated into orthogonal s component beam and p component beam through a first polarization beam splitter prism; the p component beam is expanded and then enters a Dammann grating to generate a diffraction beam containing several diffraction orders; the diffraction beam passes through a second polarization beam splitter prism, a quarter-wave plate and a first focusing element in turn, introduces focal shift by a multi-stage phase plate array, adjusts the angle and position offset of the sub-group of the sub-beam array beam by a spatial light modulator to generate a working beam, the working beam returns to the second polarization beam splitter prism from the original light path and is emitted into a working area by a second focusing element, generating a three-dimensional light field; the device can accurately control the three-dimensional irradiance distribution in the processing area, thereby realizing multi-level and depth-adjustable energy deposition, and significantly improving the quality, efficiency and consistency of processing.

The application discloses a real-time video playing method in QT environment, which comprises the following steps: S1, creating a compiling environment; S2, making a transmission service rule; S3, initializing ffmpeg stream pulling and decoding resources; S4, creating a stream pulling main thread; S5, decoding a data packet object obtained by stream pulling; S6, converting a decoded image frame; S7, obtaining the converted image frame and displaying in real time; and S8, releasing decoding channel resources. The application adopts a soft decoding method, effectively reduces decoding time, simultaneously adopts an RTSP video transmission protocol to obtain a video stream, effectively reduces playing delay, and guarantees video playing fluency.

This invention belongs to the interdisciplinary field of neuroscience, sensory science and technology and food science. It provides a method for objectively quantifying taste perception using electroencephalography. The invention aims to separate and decode the neural dynamics of the brain in processing taste stimuli of different intensities, and to objectively evaluate and classify them based on individual differences in innate taste sensitivity.