12results about How to "Improve division efficiency" patented technology

The invention discloses a VVC coding unit rapid division method and system based on image frequency domain characteristics, and the method comprises the steps: employing a first image frequency domain characteristic, a first classification label and a first weight to train a group of binary classifiers based on a lightweight gradient lifting model, and obtaining a group of initial binary classifiers; performing feature selection through the group of initial binary classifiers, and training the group of initial binary classifiers by adopting the selected features to obtain a group of dimensionality reduction binary classifiers; performing parameter adjustment on the group of dimensionality reduction dichotomous classifiers to reduce the scale of the group of dimensionality reduction dichotomous classifiers to obtain a group of division decision classifiers; initializing online sample data, and deciding the division mode in each division decision classifier according to the online sample data to obtain a group of target division modes; and quickly partitioning the VVC coding unit according to a group of target partitioning modes. According to the invention, the division efficiency and decision accuracy of the coding units are improved, the video quality and code rate are ensured, and the coding time is shortened.

The invention discloses an automatic dividing method, device and equipment for rotation irrigation groups and a medium. The method comprises the following steps: acquiring an initial system pipe network diagram of a pump room system, irrigation community information and pump room head information, and marking the initial system pipe network diagram according to the irrigation community information to obtain a target system pipe network diagram; determining the planned irrigation amount of each irrigation cell in the target system pipe network diagram according to the irrigation cell information; according to the target system pipe network diagram, the irrigation community information, the pump room head information and the planned irrigation amount of each irrigation community, generating an initial rotation irrigation group division result; and detecting the plurality of irrigation indexes according to the initial rotation irrigation group division result, and obtaining a target rotation irrigation group division result according to a detection result. By the adoption of the technical scheme, rotation irrigation groups can be reasonably divided according to the current situation of a constructed irrigation project, the pipe network operation efficiency is improved, and pressure and flow balance of all levels of pipe networks under an existing pump room system is guaranteed.

The embodiment of the invention provides a terrain division method and device in a game scene, electronic equipment and a storage medium, and relates to the technical field of games.The method comprises the steps that in the terrain division process of the game scene, point parameters corresponding to all scene points in the game scene can be obtained; and then terrain division is performed on the game scene according to the point parameters to obtain the terrain area corresponding to the game scene, so that the division difficulty of the user can be effectively reduced by obtaining the point parameters and based on an automatic processing flow, and meanwhile, based on the automatic processing flow, the division efficiency can be effectively improved, and the division accuracy is ensured.

The present invention is a sub-channel division method for a channel with a spiral rod bundle. The present invention relates to the technical field of heat exchanger design. The present invention establishes a three-dimensional geometric model of a sub-channel of a spiral rod bundle, determines the calculation domain; determines the diameter of the circumscribed circle of the spiral structure element; numbers the circumscribed cylinder of the spiral structure element; and numbers the sub-channels between each adjacent cylinder. The input parameters are the coordinates of the points of the spiral rod and the radius of the channel around the rod, and all experimental or simulation data in the channel are screened and classified. The present invention establishes a detailed and accurate sub-channel division method for a spiral rod bundle, which is used to calculate and analyze the thermal-hydraulic characteristics in the sub-channel of the spiral rod bundle and the thermal-hydraulic calculations in the core formed.

The invention discloses a glauconite-containing sandstone reservoir fluid identification method, device and equipment and a medium. The method comprises the following steps: determining the porosity of a target glauconite-containing sandstone reservoir, and determining the reservoir type of the target glauconite-containing sandstone reservoir according to the porosity; if the reservoir type is a reservoir, characteristic parameters of a target glauconite-containing sandstone reservoir are obtained, the porosity and the characteristic parameters are input into an identification model, a fluid identification value of the target glauconite-containing sandstone reservoir is obtained, and the fluid type of the fluid of the glauconite-containing sandstone reservoir is determined according to the fluid identification value. The fluid types are divided according to the oil content of the reservoir. According to the technical scheme, the fluid identification value is accurately obtained through the constructed identification model, so that the fluid type of the glauconite-containing sandstone reservoir fluid is accurately determined according to the fluid identification value, the problem that the implementation cost is high when the reservoir fluid type is determined is solved, the fluid type division efficiency is improved, and the method is suitable for mass production. And a basis is provided for further research and explanation.

The invention discloses a geometric model mesh generation method and device based on machine learning, a medium and equipment, and belongs to the technical field of artificial intelligence of computer programs. The method comprises the following steps: acquiring a geometric model of a to-be-divided grid; performing preprocessing to obtain a preprocessed geometric model of the to-be-divided grid; and inputting the geometric model to the grid division prediction model obtained through machine learning, and performing grid division on the geometric model to be subjected to grid division by the grid division prediction model obtained through machine learning to obtain a grid division result of the geometric model. The device, the medium and the equipment can be used for realizing the method. The dividing efficiency is improved, and the labor cost is reduced; a grid division strategy is automatically adjusted, and a high-quality grid is generated; according to the method, the grid division result is ensured to be highly consistent with an actual model, errors and distortion possibly occurring in a traditional method are avoided, a reliable basis is provided for subsequent finite element analysis or other numerical calculation, and the accuracy and credibility of a simulation result are improved.

The invention relates to the technical field of simulation design of tires, in particular to a method and system for quickly dividing complex pattern grids of a tire and a computer software product. The method comprises the following steps: carrying out grid division on a plane graph of a tire pattern, and dividing a pattern region into quadrilateral or triangular units; drawing contour curves according to the tire tread contour, wherein the contour curves comprise a tread curve, a pattern groove bottom curve and a pattern bottom curve; generating nodes and unit information of the planar graph, and projecting the planar nodes to the tread curve to construct three-dimensional node coordinates; projecting tread nodes to the interior of the pattern, and generating internal nodes by using intersection points of node normal lines and profile curves; and finally, a three-dimensional unit structure is generated, so that three-dimensional grid division is formed. Compared with a traditional method, the method does not depend on three-dimensional modeling, the grid division efficiency can be remarkably improved, the calculation cost can be reduced, and the method is suitable for accurate simulation analysis of complex tire patterns.

The invention discloses a flame region division method and device and a storage medium. Acquiring a plurality of flame images to be processed; determining a flame region and an air smoke region in the flame image to be processed by adopting an image segmentation algorithm; determining a center line of the flame image to be processed, and extracting an RGB value on the center line of the flame area and a gray value on the center line of the air smoke area; the flame area is divided into a discontinuous flame area and a continuous flame area according to the RGB value, and the air smoke area is divided into an air area and a smoke area according to the gray value. According to the embodiment of the invention, the flame region and the air smoke region in the flame image to be processed are determined by adopting the image segmentation algorithm, and the flame region is divided according to the RGB value and the gray value, so that manual checking and manual flame region division are not needed, the flame division duration can be effectively shortened, and the flame region division efficiency can be effectively improved.

This application relates to a near-field scanning method, apparatus, computer device, storage medium, and program product. For each grid point to be divided in a two-dimensional uniform network of an electronic device under test (EDT), the offset between the grid point to be divided and a preset starting grid point of the two-dimensional uniform network is determined. Based on a preset exponential function, a first exponential function value is determined, with each parameter within a parameter range corresponding to a target threshold as the exponent. A first ratio between the offset and each first exponential function value is determined, and the parameter corresponding to the largest integer first ratio is determined as the target parameter. The grid points to be divided are then divided into a set according to the target parameter and the target threshold. Based on the set obtained after dividing each grid point, a near-field scan of the EDT is performed. The embodiments of this application employ an equivalence class partitioning method to divide the grid points, allowing multiple grid points to be divided to be processed in parallel, thus improving the efficiency of grid point partitioning.

The invention provides a finite element model generation method, device and equipment of a vehicle body and a medium, and relates to the technical field of vehicle body analogue simulation, the method comprises the steps that a plate girder model of a three-dimensional structure of the vehicle body is acquired, and the plate girder model comprises respective geometrical shape information of a plurality of vehicle body faces of the vehicle body under a three-dimensional coordinate system; according to respective geometrical shape information of a plurality of preset vehicle body surfaces of the vehicle body, the positions of the plurality of preset vehicle body surfaces are changed under a two-dimensional coordinate system, a vehicle body splicing surface is obtained, the vehicle body splicing surface comprises a plurality of splicing sub-surfaces, and the outline of the splicing sub-surfaces is the same as the outline of the preset vehicle body surfaces corresponding to the splicing sub-surfaces; performing grid division on the vehicle body splicing surface to obtain respective finite element grids of a plurality of preset vehicle body surfaces; and generating a finite element model of the vehicle body according to the geometrical shape information of other vehicle body surfaces and the respective finite element grids of the predetermined vehicle body surfaces, the other vehicle body surfaces including the vehicle body surfaces except the predetermined vehicle body surface in the plurality of vehicle body surfaces.

The invention provides an urban gas logic pipeline division method and device, a medium and equipment. The method comprises the following steps: acquiring an urban gas physical pipeline distribution map based on a geographic information system; providing a node selection page to enable a user to select a starting point and an ending point on the urban gas physical pipeline distribution map on the node selection page; taking a physical pipeline communicated between the starting point and the ending point selected by the user as a logic main line; acquiring a preset urban gas logic pipeline division rule; automatically generating a logic branch line connected with the logic main line according to the urban gas logic pipeline division rule and each equipment node on the physical pipeline corresponding to the logic main line in the urban gas physical pipeline distribution diagram; and according to the logic main line and each logic branch line connected with the logic main line, constructing the logic pipeline network of the urban gas. According to the invention, the accuracy and efficiency of logic pipeline division can be improved, and the labor cost is saved.

The present invention relates to an efficient graph partitioning method, device and equipment for large-scale graphs. According to the purpose of graph partitioning and in combination with the power law of large-scale graphs, mirror vertices are created for high-degree vertices on each computing node. After the high-degree vertices in the large-scale graph are marked, the high-degree vertices and the edges connected to the high-degree vertices are temporarily removed. Then, the remaining vertices and edges in the large-scale graph are first partitioned to each computing node to improve the partitioning efficiency. Then, the high-degree vertex-low-degree vertex edges are allocated to the computing nodes where the low-degree vertices are located. Then, the high-degree vertex-high-degree vertex edges are allocated to the computing nodes with fewer stored edges to balance the number of edges actually stored in each computing node. Finally, the high-degree vertices are allocated to the computing nodes with fewer stored vertices to balance the number of vertices actually stored in each computing node, thereby greatly reducing the partitioning time overhead and improving the partitioning quality, thereby achieving improved computing performance for processing large-scale graphs.