17results about How to "Avoid double counting" patented technology

This invention relates to the field of vehicle design technology and discloses a method and apparatus for determining the display area of ​​a combination instrument cluster. The method includes: acquiring first simulated data of the steering wheel, second simulated data of the user's eye ellipse, and third simulated data of the combination instrument cluster display surface; determining a central field of view region based on the first simulated data, the third simulated data, and simulated data of the central eye point; translating the central field of view region based on the simulated data of the central eye point, at least one simulated data of an extreme eye point, and the third simulated data to obtain at least one extreme field of view region corresponding to each of the at least one extreme eye point simulated data; and determining the display area of ​​the combination instrument cluster based on the central field of view region and the at least one extreme field of view region. Applying the technical solution of this invention can meet the vision requirements of users of different body types, making the design position of the combination instrument cluster universally applicable.

The application provides a three-dimensional part retrieval method based on graph similarity search, relates to the field of computer graphics, and solves the technical problem that the prior art cannot fully utilize the geometry and design semantic information of CAD, and it is difficult to capture and display the topological relationship, resulting in low retrieval efficiency. The method comprises the following steps: obtaining part three-dimensional data of a computer-aided design (CAD) model, and constructing a training data set; constructing an edge-face connection graph based on the part three-dimensional data; calculating a graph edit distance (GED) matrix of all edge-face connection graphs in the training data set as a supervision signal; training a ranking model based on the GED matrix, mapping the edge-face connection graph to a hidden space, and constructing a part vector database according to the output graph-level embedding vector; the ranking model is constructed based on a graph attention network; inputting a CAD part to be queried into the trained ranking model to obtain a feature vector, performing nearest neighbor search in the part vector database, and returning a similar part result.

This invention discloses a multi-task operation ticket continuous printing system and method. The system includes: a status management module for centrally maintaining and managing the status of tasks, steps, and page numbers during the printing process; a dynamic layout calculation module for real-time measurement and pagination decisions on the operation ticket content, including a paginator unit to determine whether drawing is allowed based on the real-time remaining space on the page; and a structured drawing module for executing page drawing based on the layout calculation results, with its drawing cycle following a "measurement, decision, execution" process and synchronously updating the status. The method, based on the above system, forms a closed-loop control process through four steps: initializing the printing status, performing dynamic layout calculation, performing structured page drawing, and updating the printing status, which is executed cyclically until all tasks are completed. This invention achieves accurate dynamic content adaptation, intelligent pagination, globally continuous page numbers, and unified format output for multi-task, multi-step operation tickets, solving the problems of chaotic layout and difficult status management in existing technologies. The system architecture is clear and easy to maintain and expand.

Embodiments of the present application relate to a kind of processing method and system for lane line identification based on image, the method comprises: receiving first image;According to preset image size, the size of first image is adjusted to obtain corresponding second image;Second image is input into preset lane line prediction model to carry out lane line instance and attribute identification processing to obtain corresponding third image.Through the end-to-end lane line prediction model provided in the present application, the identification efficiency can be improved, and system algorithm power resource is saved.

This application relates to the field of natural language processing, and more particularly to a method for ultra-long context tensor parallel incremental attention and differential compression transmission. It employs a multi-level precision sliding window attention mechanism, dynamically allocating precision levels such as fp16 / int8 / int4 based on the distance between the window and the current computation position, and the information entropy of the window content. A tensor parallel incremental attention engine enables cross-GPU / node incremental attention computation and asynchronous All-Reduce synchronization, improving computational efficiency. Semantic differential compression transmission technology is used, transmitting only the differential data based on similarity detection, significantly reducing cross-node transmission overhead. Combined with an extreme performance optimization and security control strategy, a balance between performance and security is achieved through hardware monitoring and dynamic power consumption / frequency adjustment. This invention can significantly reduce memory usage and transmission overhead in ultra-long context processing, improve computational efficiency and hardware utilization, enhance the understanding ability of large models for long texts, adapt to heterogeneous hardware environments, and is suitable for large model inference and training scenarios.

This invention discloses a method and system for collaborative optimization of task scheduling and data caching, belonging to the fields of edge computing and mobile network technology. The method includes: constructing an edge computing environment through multiple edge servers, cloud servers, and a data cache; performing service chain-aware matching on arriving tasks within the edge computing environment to reuse computation results; scheduling tasks using a particle swarm optimization algorithm; obtaining a task scheduling scheme based on a comprehensive fitness function and task scheduling; executing the task scheduling scheme to obtain intermediate result data items; evaluating the value of the intermediate result data items using a multi-dimensional evaluation model to obtain a value evaluation result; updating the content of the data cache based on a genetic algorithm and the value evaluation result; and achieving collaborative optimization between repeated task scheduling and data caching. This invention achieves effective processing of tasks combining multiple services through a service chain-aware matching mechanism and establishes a bidirectional feedback collaborative optimization mechanism for task scheduling and data caching.

The application discloses a mobile device path planning method and an electronic device. The mobile device path planning method comprises the following steps: constructing a fitness function of mobile device path planning; initializing a particle swarm population, and a particle position is used for encoding a candidate path composed of multiple intermediate path point coordinates; performing multiple iterations of optimization, in each iteration, after each velocity and position update is completed, performing a dimension-by-dimension optimization operation on the entire population, the dimension-by-dimension optimization operation searches the path point coordinates of the candidate path encoded by all particle positions in the population dimension by dimension, and optimizes the corresponding path point coordinates in the global optimal position; after the iterations are completed, determining an optimal path based on the path encoded by the global optimal position. The application overcomes the defect that the effective local feature is lost due to simple elimination of low fitness particles in the existing PSO algorithm; meanwhile, repeated calculation of full path evaluation is avoided, and the real-time performance and high efficiency of algorithm operation are ensured while the optimization precision is effectively improved.

This invention relates to the field of quantum computer technology, specifically to a quantum state transmission method, apparatus, and quantum computer. This application achieves the merging and transmission of global gates by using the target transmission bit and associated global gates as transmission queue parameters for the selected global gates. This reduces the number of quantum state transmissions and effectively improves the computational efficiency of distributed quantum circuits. Secondly, when the selected global gate is a determined associated global gate, the global gate in the next execution sequence of the determined associated global gate in the quantum circuit is selected as the chosen global gate according to the execution timing of the quantum circuit. By eliminating determined associated global gates, the redundant computation of searching for and merging global gates is avoided, reducing the amount of computational result data and thus reducing the storage space occupied by the data.

This invention discloses a message processing method and related apparatus, relating to the field of message processing. When the current message cache is not full, the main thread receives live messages and submits them to a HandlerThread for asynchronous parsing to obtain different message types. Corresponding caching strategies are then applied, retrieving image cache data from the ImageSpan cache and text cache data from the plain text cache, assembling them into a complete live message, and inserting it into a RecycleView queue for message aggregation caching. The complete live message is then inserted into a scrolling control in the RecycleView list for display. Based on a preset scrolling strategy, the complete live message is directly scrolled and displayed using a SpannableString cache. This invention utilizes HandlerThread for asynchronous message processing, a three-layer caching mechanism to optimize performance, and strategy parsing to decouple rendering logic, ensuring the main thread maintains a high frame rate.

This invention provides a GIS-based urban building and land planning analysis method and system, relating to the field of urban planning and land management information technology. It includes a spatial data version management module for acquiring the GIS spatial dataset and business attribute dataset required for urban building and land planning analysis. This GIS-based urban building and land planning analysis method and system establishes a unified coordinate reference between the GIS spatial dataset and the business attribute dataset, and introduces a data version management mechanism combining baseline and incremental versions. Upon receiving data update events, it performs difference comparisons based on spatial object identifiers to generate accurate change sets. Combined with the analysis dependency graph, it performs incremental recalculation only on the affected analysis subgraphs, achieving rapid updating and traceable management of urban building and land planning analysis results. This avoids repeated calculations of the entire dataset, improving the real-time performance and computational efficiency of planning analysis.

The embodiment of the present application provides a kind of image format conversion method, device and video processing equipment.The method comprises the steps of: obtaining the image to be converted;Determine a plurality of pixel blocks and a plurality of encoding modes based on the image to be converted, wherein the plurality of encoding modes correspond to a plurality of mode index values;According to the luminance component deviation value of the pixel block under the plurality of encoding modes respectively, determine the target encoding mode of the pixel block, wherein the target encoding mode is one of the plurality of encoding modes;Based on the target encoding mode, a plurality of chrominance components of the pixel block are encoded to obtain a plurality of chrominance component output values of the pixel block;According to the target encoding mode, determine the target mode index value from the plurality of mode index values;Based on the target mode index value, a plurality of luminance components and the plurality of chrominance component output values, obtain target data and output.

This invention belongs to the technical field of 3D modeling for engineering construction. It discloses a method and system for modeling bulldozer operation maps in mining areas based on 5D Gaussian geometry. The method includes: S1 acquiring RGB images and depth data of the earthmoving operation area using an RGB-D camera; applying a contrast enhancement algorithm to the RGB data and vibration compensation to the depth data; and performing semantic recognition of the category of each pixel location; S2 back-projecting the depth data to generate a 3D point cloud; constructing 3D Gaussian units at the sampling points of the point cloud; and converting them into 5D Gaussian implicit units covering spatial, temporal, and semantic dimensions after fusing semantic category and timestamp information; generating a 3D implicit base map; S3 filtering the 5D Gaussian implicit units; and projecting to obtain a 2D rendered image. This invention provides 3D visualization support for bulldozer operation in mining areas, is applicable to scenarios such as mining, and solves modeling problems such as weak texture in earthmoving and equipment vibration interference.

This application discloses a method, apparatus, electronic device, medium, and product for visualizing node paths. The method includes: acquiring time node data and configuration parameters; generating a serpentine layout path based on the time node data and configuration parameters; creating an off-screen canvas and a main canvas based on the configuration parameters; drawing static elements on the off-screen canvas according to the serpentine layout path to obtain a static cache bitmap; calculating the global animation progress and segmented progress values ​​based on the system's current timestamp; and overlaying and drawing the static cache bitmap, global animation progress, and segmented progress values ​​on the main canvas to obtain and output animation frames. This method can solve the problems of low rendering performance and interactive stuttering caused by repeated drawing and reordering triggered by an increase in the number of nodes.

This invention relates to the field of optical communication technology and discloses a multi-channel active thermal compensation method for optical modules based on a dynamic thermal coupling matrix. This method solves the problems of lag and mutual interference in multi-channel performance compensation, as well as poor wavelength stability in optical modules. The invention utilizes a dynamic thermal coupling matrix to accurately predict inter-channel thermal shocks and implements preemptive three-level compensation, thereby significantly suppressing wavelength shift overshoot. Through a least-squares dynamic correction mechanism, the thermal coupling matrix can track thermal characteristic drift caused by long-term operation in real time, extending the effective lifespan of the optical module. The bit error rate is significantly reduced, and the inter-channel crosstalk suppression ratio is greatly improved, ensuring the integrity and reliability of high-speed data communication. Real-time optimization measures, such as accelerating matrix operations with hardware floating-point units and using a pre-lookup table for compensation coefficients, shorten the overall time consumption of a single compensation process.

The present disclosure provides a model training method, a rendering image generation method and a device thereof. The method comprises: obtaining a target training sample; the target training sample comprises: an initial reference image, initial noise corresponding to each view angle in N view angles, and M initial material channel images determined based on an initial material of an initial three-dimensional model in each view angle in N view angles; performing fusion processing on the M initial material channel images in each view angle and the initial noise corresponding to each view angle to obtain an initial noisy image of each view angle; inputting the initial reference image and the initial noisy image of each view angle into a to-be-trained generative model to obtain M estimated material channel images in each view angle and estimated noise corresponding to each view angle; obtaining a target loss value based on the estimated material channel image and / or the estimated noise; and performing model training on the to-be-trained generative model using the target loss value to obtain a target generative model.

The present application relates to green ball diameter online detection technical field, especially to a kind of green ball diameter determination method, device, electronic equipment and storage medium, the present application method first obtains first image;Then the edge extraction operator is extracted to the edge in the first image, and according to the multiple first edges obtained by extraction, multiple second edges are obtained;Then through the way of center positioning, multiple first green balls are identified from the multiple second edges, and the first diameter of each first green ball is extracted;Finally, the multiple first green ball diameters are counted, and green ball diameter distribution statistical data are obtained, the present application obtains the image of green ball in ball disc by snapshot, then the edge of green ball is extracted by edge extraction method, finally, according to the above green ball diameter, statistical data are generated, therefore, the present application is more reliable, realizes online statistical green ball diameter distribution, and reflects the production process quality of green ball from data.

The application relates to a semantic segmentation and stereo matching method and framework based on multi-task joint learning, which comprises the following steps: acquiring stereo image pair information, wherein the stereo image pair information comprises a left image and a right image; based on the left image and the right image, shared features are extracted by using a joint encoder, and a preliminary disparity map is obtained by calculating a disparity; based on the shared features, the preliminary disparity map is updated by updating the disparity, so that a refined disparity map is obtained, wherein the refined disparity map is a stereo matching result; the shared features are converted to a semantic space, and feature fusion is performed with the refined disparity map, so that fused features are obtained; and based on a densely connected skip connection decoder, the fused features are decoded, so that a semantic segmentation result is obtained. Compared with the prior art, the application has the advantages of improving real-time performance, low data requirement and the like.