9 results about "Recursive partitioning" patented technology

This invention discloses a sparse method and related equipment for quadrant amplitude mapping arrays. The method, through recursive partitioning and a deterministic amplitude mapping mechanism, eliminates the randomness of traditional probabilistic methods, ensuring the uniqueness and stability of the output layout under the same input conditions, thereby significantly improving the repeatability and engineering reliability of the design results. The method in this embodiment achieves high-precision matching between amplitude distribution and cell position through sparse cell allocation based on recursive quadrant partitioning, significantly reducing sidelobe levels while lowering the standard deviation of performance fluctuations. Furthermore, the method in this embodiment is independent of specific array geometry and naturally supports rectangular, circular, and irregular arrays with internal obstacles through its recursive processing mechanism, demonstrating excellent versatility and flexibility, and can be widely applied in the field of data processing technology.

The application relates to an automatic recursive partitioning method and device for a non-structure grid field special language, and the method proposes an automatic recursive partitioning and data conflict resolution software architecture scheme for a shared memory multi-core CPU platform in a non-structure grid field special language and a converter framework, a grid topology and an indirect access mode are uniformly described at a DSL level, a task dependency structure for conflict resolution is automatically constructed, and a global renumbering and data rearrangement mechanism is combined, so that the parallel efficiency, data locality and performance portability of the non-structure grid application on the multi-core CPU platform are improved under the premise of ensuring numerical correctness, and the application development and maintenance cost is reduced.

This application relates to the field of metal processing technology, and more particularly to an intelligent monitoring method and system for the processing and manufacturing of parts. The method includes: acquiring sample data points of sample metal parts; determining a partitioning priority value for the dataset composed of multiple sample data points from different sample metal parts, using processing parameter combinations to jointly partition the dataset; recursively partitioning the dataset using the partitioning priority value of the processing parameter combinations, and constructing a decision tree based on the recursive partitioning results; the decision tree is used to output defect causes of defect information; acquiring defect information of the metal parts to be inspected and multiple processing parameters from the production stage, and inputting the defect information of the metal parts to be inspected and the multiple processing parameters into the decision tree to obtain the defect causes of the metal parts to be inspected, so as to output monitoring information using the defect causes. Through the above technical solution, the processing of metal parts can be monitored.

This application provides a three-dimensional extended global grid partitioning method and system based on a spatial octree, relating to the field of global grid partitioning. The method includes: constructing a basic spatial structure with consistent latitude and longitude spans for the Earth; recursively partitioning the Earth along the longitude and latitude dimensions to construct a multi-level grid structure; performing extended mapping processing on the altitude domain to construct a unified three-dimensional spatial representation system of longitude, latitude, and altitude; and simultaneously performing bisection recursive partitioning of the three-dimensional spatial units to construct a three-dimensional grid system adapted to the spatial octree structure; further, using a bitwise interpolation encoding method to fuse and encode the longitude, latitude, and altitude indices to obtain the grid code of the three-dimensional grid unit, and establishing parent-child mapping relationships between different levels of grids to obtain the global grid partitioning result. This application, used in the global grid partitioning process, solves the technical problem of existing technologies struggling to achieve spatially coordinated and unified expression in global grid partitioning.

A method of video processing includes, for a conversion between a current block in a video region of a video and a coded representation of the video, determining that a partitioning of the current block into a plurality of transform units is allowed based on a characteristic of the current block. Signaling of the partitioning is omitted in the coded representation. The method further includes performing the conversion based on the determining.

The application discloses an enterprise upstream and downstream cooperative risk control prediction method and system facing supply chain data, relates to the technical field of supply chain financial risk management, and comprises the following steps: extracting a payment time deviation value between enterprises to construct a payment behavior sequence, calculating supply chain cooperative credit rating based on fluctuation amplitude and historical default records, and identifying a risk source enterprise; a recursive partition time window is adopted to extract a periodic index and a mutation index of the payment behavior, and a payment behavior portrait is constructed; correlation enterprises are identified through phase overlap of the payment behavior track, and a risk transmission sequence is formed; based on the evolution law of the payment behavior portrait and the risk transmission sequence, a risk trigger node is predicted, and a risk prevention and control scheme containing a credit limit control instruction and a behavior monitoring strategy is generated. The application can effectively identify a supply chain risk source, predict a risk transmission path, and improve the supply chain financial risk control capability.

This application discloses a video data processing method, apparatus, device, and storage medium, applicable to scenarios such as cloud gaming in cloud technology. The method includes: obtaining a target recursive partitioning strategy for a unit to be encoded in a target video frame, and encoding parameters for the unit to be encoded; partitioning the unit to be encoded according to the target recursive partitioning strategy to obtain N first sub-units to be encoded; obtaining the encoding parameters corresponding to each of the N first sub-units to be encoded, and determining the parameter relationship between the encoding parameters of the unit to be encoded and the encoding parameters corresponding to the N first sub-units to be encoded; if the parameter relationship indicates that the unit to be encoded does not meet the conditions for further partitioning, then pausing the further partitioning of the unit to be encoded, and determining the target partitioning result of the unit to be encoded based on the first sub-units to be encoded and the unit to be encoded. This application reduces the complexity of the video data encoding process and improves the encoding efficiency of video data.

The invention relates to the field of water supply system optimization, in particular to a water supply network intelligent grading and partitioning method based on multi-source data fusion. The invention provides a multi-source data fusion-based intelligent grading and partitioning method for a water supply pipe network, which comprises the following steps of: inputting pipe network topological data, flow pressure data and user water consumption historical data, and constructing a pipe network diagram G; according to the data input into the pipe network diagram G, calculating topological characteristics, hydraulic characteristics and user characteristics of each node in the pipe network diagram G, and calculating comprehensive similarity measurement between every two nodes; performing multi-constraint spectral clustering processing on all nodes, and outputting a first-level partition; and performing hierarchical recursive partitioning on the first-level partition, and outputting a second-level partition. Through multi-dimensional data fusion and constraint optimization, the partition reasonability is improved, the first-level partition and the second-level partition are finally output by preprocessing each group of data, the manual partition process is reduced, and the partition division accuracy is improved.

This application belongs to the field of computer-aided medical technology and discloses an adaptive hierarchical medical knowledge graph community construction method, device, and medium. The method first calculates the normalized evidence support of the medical knowledge graph triples; then, it constructs a collaborative initial edge weight matrix by combining the graph topology, entity semantic similarity, and evidence support; next, it adaptively calculates the initial resolution based on the graph size and density, and performs coarse partitioning to obtain a set of entity topic communities; for large communities, it removes outliers to obtain robust semantic centers, and performs secondary partitioning correction based on consistency to update edge weights; it calculates the maximum similarity between small communities and the centers of large communities and performs adsorption or containment processing; finally, it employs a strategy of increasing resolution with hierarchy to perform top-down recursive partitioning. This invention effectively suppresses the interference of clinical literature extraction noise and weak evidence on the community, ultimately generating a high-quality hierarchical community structure that can be used for medical consultation, clinical decision-making, and medical retrieval.