3 results about "Numeric data" patented technology

The application relates to the technical field of index creation, and provides an index creation method based on thumbnail comparison of numeric data in Opengauss, which comprises the following steps: judging whether the column of the data to be created is of the numeric type, setting an optimization mark for thumbnail comparison in the tuple in a target table according to the judgment result; scanning the tuples in the target table one by one, saving the value of the index column of the tuple according to the optimization mark of the tuple; sorting the tuples in step S2 through a thumbnail comparison algorithm; and inserting the tuples sorted in step S3 into a btree index. According to the index creation method based on thumbnail comparison of numeric data in Opengauss of the exemplary embodiment of the application, the single int data direct comparison is optimized from the character array comparison mode in the prior art, the comparison algorithm performance is improved, the number of CPU operation times is reduced, the time consumption of the numeric data type index creation is greatly reduced, the original algorithm overhead in the prior art is reduced, and the index creation efficiency is improved.

A processor comprises a memory to store numeric data in bit plane format and circuitry coupled to the memory to perform matrix operations on the stored data using adders. The bit plane format allows dynamic variations in bit sizes of values. A system includes a memory to store numeric data in bit plane format, a processor coupled to the memory, and a matrix multiplication module to perform matrix multiplication using adders. A method involves storing numeric data in bit plane format, retrieving the stored data, and performing matrix operations using adders. The processor, system, and method enable faster processing and reduced memory consumption compared to consecutive aligned bit sequences.

This invention discloses an AI-based method and system for collecting price information in the textile industry. The method includes the following steps: S1, Image Repair and Cleaning: Processing the tabular price quote images from textile factories, retaining only the table area; S2, Table Cropping: Cropping the repaired image according to the table format, dividing it into multiple smallest sub-table images without table sub-tables; S3, Sub-table OCR Recognition: Extracting the row, column, and header names of the sub-tables, as well as corresponding text and / or numeric data, and returning sub-table data containing complete structured information; S4, Header Row to Column Conversion: Extracting the header row information and converting it into column information to generate a uniformly formatted intermediate table; S5, Multi-Table Concatenation and Integration: Concatenating and integrating multiple intermediate tables into a single large table with a unified format. Compared with existing technologies, this invention eliminates the need for manual secondary processing, significantly reducing the cost of price information collection and significantly improving the efficiency, accuracy, and timeliness of data collection.