7results about How to "Preserve accuracy" patented technology

The invention discloses a dual-state six-channel polarization multiplexing metasurface design method based on a phase change material. The method comprises the following steps: designing a structural unit based on the phase change material; a double-state six-channel polarization multiplexing metasurface is constructed by using the designed structural unit; the geometric structures and the orientation angles of the structural units are optimized by adopting a screening algorithm, and the optimized double-state six-channel polarization multiplexing metasurface can record six kinds of irrelevant phase information into the same double-state six-channel polarization multiplexing metasurface. The method is based on the metasurface Jones matrix regulation and control theory, comprehensively utilizes the geometric phase and the transmission / resonance phase of the structural unit, is suitable for most types of metasurface unit structures, has wide applicability, can be applied to the fields of metasurface optical encryption, multifunctional wavefront regulation and control and the like, and has important practical value.

This application relates to the field of wind power predictive control technology, and discloses a method and apparatus for optimizing the wake of a wind power cluster based on model predictive control. The method includes: collecting the operating state variables and meteorological environment information of each wind turbine in the entire wind farm; inputting the operating state variables and meteorological environment information into a comprehensive prediction model; and outputting the future wake of each wind turbine in the entire wind farm. N p The power generation sequence at each time point; construct the objective function and constraints, and combine them with future... N p The power generation sequence at each moment determines the future power output of each wind turbine. N p The sequence of yaw angles at each moment; based on the future N p The value of the first moment in the yaw angle sequence controls the wind turbine to perform yaw actions, and forms a rolling closed-loop control according to the rolling time-domain optimization mechanism. In this way, the accuracy of the physical mechanism is preserved, while also possessing the nonlinear fitting capability of deep learning, which can improve the accuracy of overall power prediction and take into account both high-precision physical field description and fast response of cluster control.

The invention relates to the technical field of communication. The invention provides a live broadcast method and device based on a private video transmission protocol, and the method comprises the steps: receiving a live broadcast request from a client, and initiating a pull stream request according to a terminal mark in the live broadcast request; based on the established data stream transmission channel, pulling protocol video data stream data from the corresponding terminal; the streaming media pushes the private protocol video data stream to the protocol conversion service; and sending the generated video stream address as a back-to-source address to a distribution service to generate a CDN playing address, auditing the live broadcast content based on the generated CDN playing address, and selecting the live broadcast content passing the content auditing by a user through various client applications to watch. According to the invention, the private protocol video data stream is pushed to the protocol conversion service, the video data stream converted by the private protocol can be obtained, the occupied broadband is small, the video data stream is not influenced by the network environment, and the playing fluency is further improved.

This application relates to the field of computer vision technology, and provides a video editing method, apparatus, electronic device, and storage medium. The method includes: performing a first inverse denoising process on a first original noise latent variable at the current time step based on original video prompts to obtain a second original noise latent variable, and using the second original noise latent variable as the first original noise latent variable for the next time step; performing a second inverse denoising process on a first target noise latent variable at the current time step based on target video prompts to obtain a second target noise latent variable; and obtaining a third target noise latent variable based on the background data region of the second original noise latent variable and the second target noise latent variable, and using the third target noise latent variable as the first target noise latent variable for the next time step. The video editing method, apparatus, electronic device, and storage medium provided by this application can perform video editing tasks efficiently and at low cost.

The invention relates to the field of video coding, and discloses a fast adaptive loop filtering algorithm based on class merging, which comprises the following steps of: dividing image brightness components into a plurality of filtering classes; based on the rate distortion optimization cost, gradually reducing the number of categories by adopting a staged strategy of coarse screening and fine merging, merging from an initial category to a preset target category, further merging until only one category is left, and recording the merging process; the filter coefficient is updated for the category after each time of merging, matrix calculation is simplified through linearization cost estimation, and the number of iterations is reduced; further selecting an optimal filter set based on a rate distortion optimization cost traversal merging process; in the filtering parameter output stage, the combined filtering categories and the corresponding filter coefficients are packaged into a self-adaptive parameter set, and application of a decoding end is facilitated. According to the algorithm, on the premise that the image quality is kept, the coding efficiency is remarkably improved, and the algorithm is suitable for video coding application scenes with high requirements for real-time performance.

The invention relates to the technical field of smart homework, in particular to a test paper information input method applied to dot-matrix pen smart homework, and the method comprises the steps: carrying out the question segmentation and question structured labeling based on an electronic format test paper, determining a test paper structured analysis result, and then, storing the test paper structured analysis result into a database; based on the test paper structured analysis result and the test paper in the electronic format, question analysis and information input are carried out, online test paper is obtained, and the content of the online test paper is consistent with that of the test paper in the electronic format. And then, based on the test paper structured analysis result and the code laying format, carrying out code laying processing on the test paper in the electronic format to obtain a code laying test paper on which a dot matrix pattern is laid. According to the method, question segmentation and question structured labeling of the electronic-format test paper are realized through an automatic means, question analysis and information input are automatically performed based on segmentation and question structured labeling results, and the online test paper is automatically generated, so that time consumption and error risks caused by manual input are avoided, and the efficiency is improved. Rapid and accurate input of test paper information is realized.

The application provides a multi-dimensional identity recognition method and device, electronic equipment and program product, and relates to the technical field of artificial intelligence. The method comprises the following steps: collecting video stream data containing a to-be-recognized object, extracting multi-dimensional feature information of the to-be-recognized object based on a first target image in the video stream data, recognizing the identity of the to-be-recognized object according to face information, if the recognition fails, performing target tracking on the to-be-recognized object based on a second target image before the first target image in the video stream data to determine whether a third target image containing the identity recognition result of the to-be-recognized object exists in the second target image, and if not, recognizing the identity of the to-be-recognized object according to body key point information. Through face recognition, target tracking and identity recognition based on body key points, the high accuracy of face recognition is retained, and when face recognition fails, identity recognition can be accurately performed based on body key points, so that the balance between the high accuracy and the easy failure of face recognition is achieved.