6 results about "Similarity analysis" patented technology

A method may include obtaining well data regarding a geological region of interest. The method may further include obtaining a geological process model for the geological region of interest. The method may further include determining a simulation region of the geological process model based on a template size and a simulation grid. The method may further include determining a simulation path through the simulation region. The method may further include determining a geological event associated with a predetermined geological facies based on the well data. The method may further include determining a replicate event based on the geological event, a similarity analysis, and using the simulation path. The method may further include assigning the predetermined geological facies to a cell location of the replicate event in the simulation region. The method may further include updating the geological process model to produce an updated geological process model.

Embodiments are directed to a computer-implemented method of analyzing a land region that has been decomposed into a plurality of regular or irregular sub-regions. The computer-implemented method includes applying, using a processor system, a feature extraction process that extracts a set of sub-region environmental descriptors for each of the plurality of sub-regions. The processor system applies a similarity analysis to the set of sub-region environmental descriptors to generate groups of the plurality of sub-regions. The processor system creates a plurality of group-based graphs by encoding each of the groups into a corresponding group-based graph. A spatio-temporal neural network is used to train a model based at least in part on the plurality of group-based graphs.

This invention discloses a comprehensive optimization management method and system for enterprise science and technology innovation data, relating to the field of data optimization management technology. The method includes technology segment identification and innovation analysis. First, in the technology segment identification stage, target science and technology innovation materials are collected and converted into standardized text. Through core technology identification, technology application identification, and similarity analysis, effective segments, practical segments, and unknown segments are accurately divided. In the innovation analysis stage, based on effective and practical segments, the SVM classification model is used to identify science and technology innovation types and summarize them into target science and technology innovation material groups. Combining historical science and technology innovation data, the comprehensive difference of numerical parameters and the difference in non-numerical features of each material within the group are calculated to obtain a breakthrough index. Then, combined with the feasibility of existing technologies, a priority index is calculated to generate innovation optimization schemes ranked by priority. This invention improves the efficiency of science and technology innovation resource allocation and the accuracy of innovation decision-making.

The application discloses a coastal ecological region identification method based on remote sensing images, relates to the technical field of coastal ecological region identification, and comprises the following steps: collecting remote sensing images of a coastal region which are not blocked by clouds in a whole year, performing image preprocessing on the remote sensing images to obtain preprocessed images; identifying the supratidal zone, the intertidal zone and the subtidal zone of the coastal region through the preprocessed images; analyzing the change characteristic lines of different pixel points based on the time sequence of the remote sensing images, grouping the pixel points based on the change characteristic lines, and obtaining different initial regions; performing similarity analysis on the initial regions, merging similar initial regions, and finally obtaining the coastal ecological region; and the application is used to solve the problem that the existing coastal ecological region identification technology cannot accurately identify the intertidal zone and the coastal ecological region in the intertidal zone, thereby failing to accurately divide the ecological region of the coastline.

This invention discloses a method for modeling the average failure rate of aircraft equipment for maintainability design, belonging to the field of aircraft maintainability design and reliability engineering technology. The method includes: S1, object definition and data standardization; S2, similarity analysis and equivalent sample generation; S3, construction of the average failure rate a priori probability model; and S4, Bayesian posterior update and dynamic output. This method for modeling the average failure rate of aircraft equipment for maintainability design constructs a set of equipment difference features, quantifies the comprehensive difference between the target equipment and reference equipment of mature aircraft models, and combines a credibility discount factor to form a scientific information transfer weight. It transforms the historical failure information of the reference equipment into the equivalent failure sample size and equivalent sample exposure of the target equipment. This overcomes the limitation of insufficient measured data for new aircraft models and avoids systematic bias caused by simply applying data from similar aircraft models, allowing the massive historical data of mature aircraft models to be reliably utilized by new aircraft models.

This invention belongs to the fields of mechanical automation and machine vision recognition technology. It discloses a stability heating test system and method for automated test tube extraction and boundary recognition. The system includes a mechanical motion and gripping unit, a heating and temperature control unit, a machine vision recognition unit, and a central control unit. It enables automatic placement and retrieval of test tubes between the placement and heating positions, precise control of the test temperature and over-temperature protection, and automatic recognition of the endpoint of test paper color change based on machine vision. The method achieves intelligent determination and alarm of the color change endpoint through image acquisition and processing, multi-test tube positioning, test paper area extraction, and color similarity analysis based on HSV color space and Mahalanobis distance. This invention solves the problems of low efficiency, large subjective error, and high safety risks in traditional manual operation, realizing full automation, digitalization, and unmanned operation of the stability heating test process, and improving the accuracy and repeatability of test results.