6results about How to "Data quality relief" patented technology

This invention belongs to the field of integrated circuit design technology, specifically relating to a method for optimizing integrated circuit design data. This method first constructs a "tool-layer-semantic" data acquisition architecture, integrating multi-channel parallel acquisition units to collect heterogeneous data from multiple sources. Compliance pre-verification is performed through hardware logic circuits and a verification rule base, extracting key data identifiers. A three-level incremental compression strategy based on key data priority, combined with an intelligent index integrating multi-dimensional indexes, is used for compression and storage. The stored data undergoes multi-dimensional optimization, including semantic deduplication, priority optimization, format conversion, and source quality backtracking, forming a unified format optimized semantic. Through an interactive interface, it is adapted and interacted with electronic design automation tools. After consistency verification and performance testing feedback loops, the final design data and full-process traceability information are obtained and stored. This invention achieves unified management, efficient compression, intelligent optimization, and full-process traceability of design data.

This application relates to the field of artificial intelligence, and particularly to methods, apparatus, media, electronic devices, and computer program products for generating programming languages ​​from clinical Data Verification (DVP) forms. By automatically reading clinical DVP forms and generating corresponding program code, this application significantly reduces the time and cost of manual programming. This not only improves the efficiency of data validation but also reduces data quality issues caused by human error. Furthermore, this application ensures comprehensive and accurate validation of clinical trial data. This comprehensive validation mechanism improves data quality and reliability, providing strong support for the smooth progress of clinical research.

The invention provides a motion image acquisition rotary table, a motion image acquisition device and a control method, the motion image acquisition rotary table is provided with a plurality of position coding hole sites and a whole circle coding hole site, the plurality of position coding hole sites are uniformly arranged, the plurality of position coding hole sites form a circle, the circle is parallel to the plane of the rotary table, and the whole circle coding hole site is parallel to the plane of the rotary table. And the circle center of the circumference is positioned on a rotating shaft of the motion image acquisition turntable. By using the motion image acquisition rotary table, the image acquisition position can accurately correspond to the image data.

The invention provides a network attack prediction method and device, equipment and a storage medium, relates to the technical field of network security, and is used for improving the accuracy and timeliness of network attack prediction. The method comprises the steps of obtaining real-time monitoring data reported by network monitoring equipment, generating an aggregation data set of different time dimensions based on the data volume of the real-time monitoring data, generating attack prediction data based on the aggregation data set, and performing network attack prediction based on the attack prediction data through a target network prediction model. The target network prediction model is obtained by training in an optimization following mode based on attack training data.

The invention relates to a heating surface aging grade evaluation method based on feature migration. The heated surface aging grade evaluation method based on feature migration comprises the following steps: S10, setting a sample assembly; s20, respectively placing the plurality of sample assemblies in equipment to be detected; s30, obtaining a sample data set; s40, respectively obtaining first sample data and first in-service data at the moment; s50, obtaining a correction value; and S60, correcting the sample data set through the correction value to obtain a corrected data set. The heated surface aging grade evaluation method based on feature migration has the advantage of being convenient to evaluate.

The invention discloses a sectional type PMLSM stroke self-detection method, relates to the technical field of PMLSM stroke detection, and solves the technical problems of low reliability, high cost, insufficient precision and robustness and the like in a complex environment in the prior art. The method comprises the following steps: acquiring electromagnetic data of the permanent magnet synchronous linear motor during operation; building a finite element model of the permanent magnet synchronous linear motor based on finite element simulation software; sampling point marking is carried out on a running orbit of the permanent magnet synchronous linear motor rotor in the finite element model to obtain position point data; calculating electromagnetic data corresponding to a sampling point in each piece of position point data through a finite element simulation algorithm, and training an artificial intelligence model based on the position point data and the corresponding electromagnetic data to obtain a rotor position recognition model; identifying the electromagnetic data acquired in real time based on a rotor position identification model to obtain an identification result; and whether early warning needs to be carried out is judged based on the identification result. The technical problem is solved.