16 results about "Computer Grid" patented technology

The invention provides a remote sensing monitoring multi-scale space grid index construction method and device, and belongs to the technical field of remote sensing monitoring, and the method comprises the steps: dividing uniform basic grids based on the geographic boundary of a monitoring region; calculating a service importance score fusing the supervision priority, the geographic complexity and the historical change frequency for each basic grid; according to the score, a preset threshold value and a dynamic decision, refinement, maintenance or aggregation operation is executed on the basic grid, and a service-adaptive multi-scale grid structure is formed; unified codes based on a Z-order curve are generated for all the grids; establishing association mapping between the water conservancy business object and the grid and determining a main grid; and finally outputting a spatial grid index fusing geometry, coding, hierarchy, attribute and association relationship. According to the method, the AI interpretation efficiency of the mass remote sensing data can be remarkably improved, the allocation of computing resources is optimized, and the accuracy of monitoring and early warning is improved through deep fusion with business rules such as river and lake supervision.

A method and system provide for extracting an isosurface. A set of three-dimensional (3D) asymmetric sampling grids are created based on a sampling resolution and a region of interest. The set of grids cover a 3D scalar field and are tiles made up of tetrahedrons. The 3D scalar field is evaluated based on the set of 3D asymmetric sampling grids to generate a value for each tile, convert the values to cells, and assign an index to each cell. For each cell, the index is utilized to identify, in a lookup table, an enumerated tetrahedron. For each identified enumerated tetrahedron that contains an isosurface crossing, an isosurface connection is estimated between new points of edges of the identified tetrahedron. A mesh is created to connect the new points and utilized as the extracted isosurface.

To secure an objective quality of a grid operation.SOLUTION: A method for managing a grid computing includes: a registration step of registering a main user and the address of the main user; an authentication step of determining whether a driver is the main user on the basis of input information from a sensor installed in a vehicle 10; and an operation step in which the vehicle starts the operation of a grid computing by an operation resource on the condition that approval information was received from the outside showing that the main user approved start of processing the grid computing when the driver who was driving the vehicle in the last drive is determined to be a person who is not the main user.SELECTED DRAWING: Figure 6

To reduce the complexity of inquiries while keeping the objective quality of an operation resource.SOLUTION: The method for managing a grid computing includes: a registration step of registering a registration user and a registration device in a user table; an authentication step of authenticating a driver on the basis of detection information of a sensor; and a management user setting step of setting a registration user who is driving a vehicle to be a management user. The method may include a changing step of changing the management user to another registration user by a registration device owned by the management user.SELECTED DRAWING: Figure 6

To manage grid computing processing in consideration of charges for electricity consumed by a computing device of a vehicle to execute calculation, thereby suppressing electric power rate in executing calculation of grid computing.SOLUTION: A management server 50 manages grid computing processing that causes computing devices 105 mounted on a plurality of vehicles 10 to process job data D1 provided from a client server 30. A control unit 505 of the management server calculates charges for electricity to be used for calculation of the job data on the basis of power consumption per unit computational complexity of each computing device 105, selects one or more computing devices in ascending order of the calculated charges for electricity, allocates the computing devices to the job data, and executes grid computing processing.SELECTED DRAWING: Figure 12

The invention discloses a neutron transport unstructured grid calculation result three-dimensional visualization system and method, and the system comprises a reading module which is used for reading the original data of the unstructured grid calculation result; the data preprocessing module is used for carrying out data partitioning on the original data, establishing a thread pool and executing multi-thread analysis in parallel to obtain analysis data; the data merging module is used for performing data merging on the analysis data to obtain complete unstructured grid calculation result analysis data; the data structure construction module is used for constructing a data structure according to the unstructured grid calculation result analysis data to obtain grid optimization data; the color mapping module is used for performing color mapping on the grid optimization data; and the rendering module is used for rendering the model passing through the color mapping module to obtain a three-dimensional visualization result of the neutron transport unstructured grid calculation result. The technical problems that in the prior art, the visualization rendering efficiency of an unstructured grid calculation result is low, and the model precision is low are solved.

Various implementations relate to methods, systems, and non-transitory computer-readable media for autoregressive shape generation. In some implementations, a computer-implemented method includes obtaining an input mesh corresponding to a three-dimensional (3D) object. The computer-implemented method further includes partitioning the input mesh into a plurality of 3D cells. Each of the plurality of 3D cells may correspond to a respective root node of a plurality of root nodes of a tree structure. The computer-implemented method further includes, for each of the plurality of 3D cells, generating a respective first variable-length latent value that is a function of a surface complexity of a shape located in a corresponding 3D cell.

A CPU parallel parametric level set topology optimization method for arbitrarily shaped CAD models belongs to the field of high-performance design technology. It solves the problems of the split between CAD and CAE, poor and time-consuming mesh generation, and low efficiency of large-scale mesh calculations. The topology optimization parallel computing design framework of the present invention significantly improves the efficiency and accuracy of topology optimization of complex structures by introducing parametric level set methods, parallel finite element analysis technology, and seamless integration with CAD models, and has broad engineering application prospects. It not only solves many problems of traditional topology optimization methods, but also provides an efficient and practical optimization design tool for the engineering design field. It can significantly improve the efficiency and accuracy of topology optimization when processing complex CAD models, and solves the problems of insufficient communication between CAD and CAE, poor mesh generation quality, low calculation efficiency, etc. in the existing technology, and has broad engineering application prospects.

The invention discloses a three-dimensional role frameless attitude migration method based on a point cloud. The method comprises the following steps: extracting global attitude features from a source attitude point cloud through an attitude style encoder; modulating network normalization layer parameters of the adaptive attitude fusion module by using global attitude features, fusing the attitude point cloud of the target T and the global attitude features, and predicting initial rotation and displacement; and calculating a self-attention score by using the target T attitude grid through an attention-based deformation module, performing fine adjustment on the initial rotation and displacement to obtain a migrated target attitude point cloud, and generating a target role attitude grid after attitude migration together with the target T attitude grid. According to the method, migration can be completed only by the source attitude point cloud and the target T attitude grid without depending on a skeleton, a skin weight, a source T attitude grid or a same topological structure. The method does not depend on additional label information in training and reasoning stages, can realize high-fidelity attitude migration for various stylized three-dimensional roles, and has relatively strong generalization ability and practicability.

The invention provides a track point cloud efficient extraction method and device, and the method comprises the steps: obtaining track point clouds, carrying out the meshing of the track point clouds according to a first size, extracting all the grids of the point clouds containing a track part through employing a neighborhood constraint method, and obtaining a plurality of first candidate grids; screening the track point clouds by using a ground filtering algorithm, and then gridding the track point clouds according to a first size to obtain a plurality of second candidate grids; calculating seed points in each first candidate grid and each second candidate grid; gridding the seed points according to a second size to obtain a plurality of feature grids, and then performing linear fitting on the seed points in each feature grid to obtain a plurality of corresponding seed line segments; and fitting the seed line segments in all the grids to obtain a track line, and then extracting a track point cloud according to the track line. According to the invention, the problems of limited generalization ability and insufficient segmentation precision caused by manual setting of a large number of parameters and related features in point cloud segmentation in the prior art are solved.

A new and improved technique for computerized processing of data for exploration and production of hydrocarbons and reservoir simulations that includes a multi-channel quality of service (QoS) in a group of high performance computing (HPC) clusters (which may collectively be referred to as a "data processing system"). The data processing system may be logically segregated into several logical subclusters and may have several publisher nodes, controlled by a master scheduler, serving several groups of processor nodes (the subscriber nodes) that execute different processing applications independently of each other. Multiple datawriters (DW) may send data through multiple channels of compute nodes, whenever there is a free master node. The multi-channels are established and take place as part of the multi-channel quality of service (QoS) settings.

The application discloses a layout optimization method and system for high-clean workshop pipeline space, relates to the technical field of computer intelligent construction, and comprises the following steps: acquiring a three-dimensional model of a building structure, equipment layout and attribute information of pipelines in a workshop; dividing pipeline arrangement areas into grids according to column grids and process equipment layout, calculating a position convenience index, a structure influence index and an equipment correlation index for each grid, fusing to obtain a comprehensive space importance index, and distributing a function area attribute code according to the comprehensive space importance index; constructing a multi-objective optimization function with pipeline comprehensive cost, pipeline conflict degree and secondary joint pipe space as targets; constructing a pipeline system into a graph structure, solving the multi-objective optimization function by using a graph neural network, and generating a preliminary layout scheme; and outputting a final layout after collision detection and local adjustment. The application realizes automatic and intelligent layout optimization of high-clean workshop pipeline space, and can improve space utilization and reduce construction cost.

Embodiments of the present application disclose a kind of data distributed grid processing method, device, equipment and medium. Among them, the method comprises: the data to be processed is split into atomic operation queue and parameter queue;The time overhead of each atomic operation in atomic operation queue is calculated by time trial calculator;According to the time overhead of each atomic operation, and the processing capacity of distributed grid computing node, each atomic operation in atomic operation queue is distributed based on dependency relationship;The processing result of distributed grid computing node is obtained, and the distributed grid processing result is obtained based on the merging of dependency relationship.This technical solution, by splitting the data to be processed, can adapt to the acceleration scheme of grid technology, by calculating the time overhead of atomic operation and the processing capacity of distributed grid computing node, atomic operation can be reasonably distributed, to achieve the effect of greatly improving system real-time.

The application discloses a pose determination method and device, and relates to the technical field of mobile robots. A specific embodiment of the method comprises the following steps: dividing a reference point cloud into a plurality of grids; calculating the mean value and the covariance matrix of the reference point cloud in the normal distribution in the grid; performing eigenvalue decomposition on the covariance matrix to obtain the eigenvalue of the grid; transforming the target point cloud based on the current pose to obtain the grid in which the target point cloud is located; determining an effective grid in the grid in which the target point cloud is located according to the eigenvalue of the grid; and calculating the value of the target function according to the mean value, the covariance matrix and the target point cloud in the effective grid. When a preset termination condition is met, the current pose is determined as the target pose; otherwise, the current pose is updated based on the value of the target function, and the transformation of the target point cloud based on the current pose is performed. The embodiment can reduce the calculation amount and improve the positioning accuracy.

The invention discloses a POI data space gathering deviation identification method, system and device and a storage medium, and the method comprises the steps: obtaining POI data of a target category in a target area, and preprocessing the POI data of the target category, the target category comprising a target large category and a target small category; dividing the spatial region into regular grids according to the target region and the target large-class POI data; calculating the total number of target large-class POIs and the number of target small-class POIs of each grid according to the POI data of the target class and the divided grids; carrying out discreteness test under a grid scale, selecting a corresponding model for training according to a result, calculating a standardized residual error of a target subclass POI of each grid, and quantifying a gathering deviation of the number of the target subclass POIs; and determining a salient region of the target subclass POI space gathering deviation by optimizing the saliency of the hotspot analysis test residual error. According to the method, the interference of the overall scale on local hotspot judgment can be eliminated, and accurate recognition of the real space aggregation deviation of the POI data is realized.

The invention provides switching equipment, an online computing method thereof and a multiprocessor system, and belongs to the technical field of communication. The switching equipment comprises a switching network and N ports which are mutually connected through the switching network, the N ports are used for connecting M computing nodes; each port comprises a first node and a second node; each first node is used for identifying a destination port belonging to a communication domain identifier according to the communication domain identifier carried in the on-network computing request when receiving each on-network computing request, and broadcasting the on-network computing request to a second node in each destination port; receiving response data returned by the second node in each destination port, and performing on-network calculation to obtain a calculation result; and each second node is used for sending the received online computing request to the corresponding computing node and sending response data returned by the computing node to the first node at the source end. The application can improve the utilization rate of the computing node and the network bandwidth.