8 results about "Correspondence analysis" patented technology

The present application relates to the technical field of computer vision and video analysis, in particular to a video stream intelligent analysis method and system in a smart fire monitoring platform; the method comprises: acquiring multiple monitoring video streams of the same target monitoring scene, identifying combustible components and fixed reference objects, and constructing a component reference linking table; generating directional migration edges based on the component migration relationship between the combustible components, establishing an ignition migration three-dimensional network; establishing a fixed reference object time-sharing blanking table for the blanking state data of the fixed reference objects in consecutive time slices, determining a target reference object, establishing a component blanking succession table, generating a sequential correspondence relationship and calculating a migration consistency value and a blanking succession consistency value; generating a target fire condition judgment result based on the foregoing results and outputting the result to the smart fire monitoring platform. The present application realizes the structured identification, sequential correspondence analysis and unified fire condition judgment of the fire condition evolution process in multiple monitoring video streams.

This invention relates to the field of electro-digital data processing technology, specifically to a method and system for monitoring the dispersion state of mesoporous carbon electrode slurry based on data fusion. The method includes: performing Granger causality tests on time-series monitoring data to identify target sensor pairs and their causal directions, determining the causal and consequential sensors; performing multi-scale decomposition; performing cross-scale correspondence analysis to determine the cross-scale correspondence layer; setting a prediction window and verifying cross-scale response during real-time monitoring; and calculating the dispersion state index of the mesoporous carbon electrode slurry. This invention establishes a causal correlation and transfer parameter model between monitoring data at the micro-particle scale and macro-flow behavior scale of mesoporous carbon electrode slurry through the coupling of Granger causality tests and multi-scale decomposition, enabling the dispersion state assessment to reflect cross-scale dynamic evolution rather than local information at a single scale.

A device and a method that can be used to perform a correspondence analysis in image data in a particularly low-noise and efficient manner. The device and method include selecting image patches from individual images and generating a plurality of one-dimensional signals using even and odd convolution kernels in the spatial window in each case, and processing differences between the convolution results in a non-linear manner and accumulating these differences to form a correspondence function and evaluating this function.

The application provides an interventional operation robot system for transcutaneous atrial septal defect occlusion, and relates to the technical field of atrial septal defect occlusion interventional operation. The interventional operation robot system is configured to: acquire historical occluder selection data, perform correspondence analysis based on balloon expansion diameter measurement data, and form occluder selection feature data; acquire balloon expansion diameter real-time measurement data, and perform extraction analysis of effective expansion diameter measurement data to form real-time expansion diameter measurement data; perform occluder selection analysis according to the real-time expansion diameter measurement data and the occluder selection feature data, and determine a target occluder; acquire real-time shunt image data, perform shunt effect analysis, and form occlusion effect analysis result data. The interventional operation robot system improves the success rate of the operation by reasonably selecting the occluder through the operation robot, and effectively guarantees and realizes the further operation effect of the interventional operation.

This invention discloses an auxiliary robot construction method and system for boulders masonry in water conservancy projects, relating to the field of data processing technology. The method includes the following steps: acquiring the morphological data of the boulders to be laid and the data of the existing masonry structure, and analyzing to obtain the initial placement position; performing position correspondence analysis based on the initial placement position and the current masonry structure to obtain a centroid offset parameter set; combining the data of the existing masonry structure to perform inter-layer attitude influence analysis, obtaining an inter-layer attitude influence parameter set, and performing cumulative analysis along the extension direction of the current masonry layer to obtain the cumulative change value of inter-layer attitude; determining inter-layer stability based on the cumulative change value of inter-layer attitude; if the inter-layer is stable, the initial placement position is used as the final placement position; otherwise, the initial placement position is corrected to obtain the final placement position, which is then sent to the auxiliary robot. This invention can reduce the risk of masonry tilting caused by the cumulative offset of irregular boulders' inter-layer attitude.

The application provides a public cloud product recommendation method, device, equipment, medium and computer program, and relates to the technical field of computers, which comprises obtaining first information and second information; performing feature matching and data analysis according to the first information and the second information to obtain third information; constructing a cloud product prediction mathematical model according to the second information, and taking the third information as an input value of the cloud product prediction mathematical model to predict fourth information; performing comprehensive evaluation processing according to the fourth information to obtain fifth information, wherein the fifth information comprises at least one cloud product combination package and a corresponding analysis result; obtaining feedback information according to a package selected by a user in the fifth information and an actual use condition, and optimizing the cloud product prediction model according to the feedback information. According to the application, a recommendation system based on machine learning is used, cloud resource products suitable for a user are matched according to a demand portrait of the user, and more accurate and diversified cloud product recommendation is provided for the user.

This invention provides a method and system for call center dialogue sentiment analysis that integrates speech and text, belonging to the field of speech signal processing technology. The method includes: acquiring speech signals and corresponding transcribed text from the call center; extracting tone, speech rate, intensity, and pause sentiment features from the speech signals; simultaneously performing deep language analysis on the transcribed text to extract context-dependent semantic sentiment features; conducting cross-modal correlation analysis on the speech and semantic sentiment features; and generating temporal correction coefficients for feature alignment by constructing a correspondence analysis framework between feature sequences. This invention integrates linguistic sentiment information from speech and text, enabling more accurate and comprehensive identification of sentiment in call center dialogues, providing a reliable sentiment analysis basis for improving customer satisfaction and efficiently handling customer requests.

The present disclosure provides a method for diagnosing structural in-service performance based on high dam risk mode and failure path. The method includes: constructing a high dam risk incident case database and extracting risk feature parameters; applying multi-scale hierarchical adaptive correspondence analysis, and resolving the problem of imbalance feature weights through feature weight calculation, hierarchical weighting of risk modes, establishment of physical similarity indices, and structural difference compensation, generating a weighted similar-project ranking list; constructing a time-series adaptive network model with multiple failure modes coupled to address the imperfect time-series evolution mechanism of failure paths, and outputting a time-series failure path prediction model; combining the similar-project ranking list and the time-series failure path prediction model to conduct engineering analogy analysis and generate a high dam safety status assessment report.