6results about How to "Reduce search complexity" patented technology

The invention discloses an underwater AUV (Autonomous Underwater Vehicle) service caching and switch state switching method based on a D3QN (Digital 3QN). The method comprises the following steps: firstly, for an ocean network formed by a water surface buoy node and an AUV, establishing an AUV service cache state and dormancy / activation state coupling control model; then, through consistent binding of a target switch state and a service cache write-in action, dormancy isolation constraint and a dormancy cache freezing rule, a feasible action mask meeting cache capacity constraint and anti-repeated write-in constraint is constructed; the method comprises the following steps of: firstly, constructing a comprehensive cost function according to cache update time overhead, write-in energy consumption, switch state switching cost and invalid activation penalty, and finally, solving in a legal action subspace by using D3QN, and outputting an AUV service cache and switch state switching control strategy. According to the invention, AUV service cache updating and switch state switching under the dynamic load can be effectively realized, and underwater network energy consumption and service cache updating delay are reduced.

This invention relates to the field of remote sensing image processing technology, and particularly to a hyperspectral band selection method based on multi-feature enhancement. The method involves spatial max pooling of the original hyperspectral data to obtain information representation data for the corresponding bands; filtering the original hyperspectral data using a mask constructed from the information representation data set to obtain a preliminary hyperspectral data set; dividing the preliminary hyperspectral data set and extracting multi-dimensional features from the preliminary hyperspectral data of each band; calculating the relative proximity of the corresponding bands based on the multi-dimensional features of each preliminary hyperspectral data set, and constructing an initial candidate band set by selecting the bands with the highest relative proximity; filtering the bands in the initial candidate band set; and finding the optimal band set from the resulting simplified band set. This invention significantly improves the feature representation capability of band subsets, achieving a significant improvement in computational efficiency while maintaining high classification accuracy.

This application discloses a method and system for segmenting multilayer coupled transmission lines. The method includes: acquiring geometric data of each layer of transmission lines to construct a planar geometric object, and establishing an index structure for spatial query by layer; obtaining a set of candidate transmission lines located within the spatial query range corresponding to the target transmission line through the index structure; judging the geometric relationship of the candidate transmission line set and selecting a set of coupled transmission lines that meet the preset coupling conditions with the target transmission line; randomly selecting one transmission line from the set of coupled transmission lines as the reference transmission line, and projecting the remaining transmission lines in the set of coupled transmission lines along the direction of the reference transmission line to obtain a set of projection line segments with the same direction; finding at least one interval with an overlapping projection relationship in the set of projection line segments to form a co-projection interval group; and mapping the co-projection interval group back to the corresponding target transmission line to perform coupled segmentation processing on the transmission line.

The invention discloses a security control method for realizing large model computing power center data gridding, and relates to the technical field of data security, and the method comprises the steps: firstly determining computing power center data, obtaining a sensitivity index, an access frequency and a data size of the computing power center data, generating an optimal total number of blocks, and carrying out the blocking processing of the data, thereby obtaining a data block sequence; analyzing pre-stored physical location hash values and logic partitions of the data blocks, constructing quantized grid coordinates and carrying out gridding storage; meanwhile, the cross-region access frequency is monitored in real time, and a fusing mechanism is triggered to interrupt access if the cross-region access frequency exceeds the limit; and after fusing, adding offset to the quantized grid coordinates of the related data block sequence, regenerating and storing, and clearing the data block at the original storage position to ensure the safe storage and access control of the large model computing power center data.

The application provides a database query optimization method and system based on large model enhancement, and belongs to the technical field of database management systems. The application deeply embeds a large model into key processes of database query optimization, including SQL rewriting, cardinality estimation, cost estimation and execution plan enumeration, so as to improve the understanding and optimization ability of an optimizer for complex SQL. Through deep analysis of SQL semantics, large-scale statistical pattern recognition and pruning of a complex plan search space, the application significantly improves the quality of a query plan, reduces cardinality estimation errors, reduces a plan search space and improves the overall execution performance of a database. The application can be applied to any relational database system and has universality and high practical value.

The invention relates to the technical field of three-dimensional point cloud compression and video coding, in particular to a VVC intra-frame prediction fast mode decision-making method suitable for V-PCC, and the method comprises the steps: constructing model input; extracting content features and boundary features input by the model, and splicing to obtain shared features; performing intra-frame mode type prediction on the shared features, performing secondary prediction according to a prediction type judgment result, and outputting candidate modes; the encoder performs final encoding decision according to the candidate mode; according to the intra-frame mode searching method and device, the intra-frame angle prediction, the matrix intra-frame prediction and the enabling prediction of the intra-frame sub-partition tool are jointly decided in the intra-frame prediction stage, and the candidate mode which is more likely to appear is pushed to the encoder according to the prediction probability, so that the intra-frame mode searching complexity is reduced, the coding efficiency is improved, and the coding time is shortened.