5 results about "Pooling data" patented technology

The invention discloses a technical trade measure data automatic sharing method and system based on artificial intelligence, and belongs to the technical field of data sharing, and the method comprises the steps: a control center receives a technical trade measure new version data entry signal, carries out the judgment of a target data sharing reliability decision pool, and carries out the data sharing; if the judgment result of the target data sharing reliability decision pool is a secondary judgment pool, re-judgment of the target data sharing reliability decision pool is carried out, and if the re-judgment result of the target data sharing reliability decision pool is an experimental sharing pool, the formal sharing qualification of the target data is confirmed, and the automatic sharing process of the target data is executed. The method can guarantee the safety and stability of data sharing, accurately judges the actual application value of the data through experimental sharing and sharing value scoring analysis, ensures that the data entering a wide sharing link can provide an accurate basis, continuously monitors the data of the observation pool, reasonably cleans invalid data, improves the data management efficiency, and is suitable for popularization and application. And the accuracy, reliability and practicability of data sharing are improved.

A data anonymization pipeline system for managing holding and pooling data is disclosed. The data anonymization pipeline system transforms personal data at a source and then stores the transformed data in a safe environment. Furthermore, a re-identification risk assessment is performed before providing access to a user to fetch the de-identified data for secondary purposes.

The invention discloses a video frame efficient interception control method and device and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining and analyzing video data according to a resource locator and an initial interaction instruction, and obtaining metadata and a key frame list; positioning a nearest key frame from the metadata and the key frame list through a specified target time point to obtain a data fragment corresponding to the nearest key frame; after continuous frame data are obtained through decoding in the webpage working thread according to the data fragments, the continuous frame data are stored in the developed cache pool, and current frame data are obtained; storing a pre-loading frame predicted according to the user behavior into a cache pool, and generating cache pool data in combination with current frame data and a cache pool rule; and after determining target frame data in the cache pool data based on a user request, processing the target frame data through a canvas image drawing method, and outputting a rendered target video frame. The problem of low efficiency is solved, and the video editing speed is improved.

The invention provides a railway point cloud-oriented active learning weak supervision semantic segmentation method and system, and the method comprises the steps: obtaining a training data set of a semantic segmentation network model, and initializing the training data set into marked pool data and unmarked pool data; constructing a semantic segmentation network model; performing iterative training on the semantic segmentation network model by using the marked pool data based on an active learning strategy, updating the marked pool data by using the unmarked pool data based on a cyclic output difference and an information entropy theory in the training process, and outputting the trained semantic segmentation network model; and inputting a to-be-processed railway scene point cloud to the trained semantic segmentation network model, and outputting a railway point cloud semantic segmentation result.

The application relates to the technical field of data processing, and discloses a data abstract method and system based on deviation degree analysis and a fault diagnosis method, which comprises the following steps: S1. After a target algorithm, to-be-abstracted test data, the minimum register unit stored data bit number and the operation logic involved in the to-be-tested step in the target algorithm are acquired, the allocation weight corresponding to the data stored in each minimum register unit is obtained; S2. The to-be-abstracted test data is split into a plurality of groups in units of the data bit number of the minimum register unit, and each group of data is subjected to class average pooling processing according to a preset precision requirement; after each group of data is subjected to the class average pooling processing, an average pooling data is obtained; S3. The data abstract result corresponding to the to-be-abstracted test data after the to-be-tested step is obtained. The application solves the problem that the prior art cannot be used to represent high-bit-width operation results, and has the characteristics of significantly reducing the bit width of data.