10results about How to "Troubleshoot technical issues with poor accuracy" patented technology

The invention discloses a full-amount navigation path generation method and device, a vehicle and a storage medium, and relates to the technical field of automatic driving. The method comprises the steps that driving track data and first path data corresponding to a target journey are acquired, the driving track data are used for determining a vehicle driving track corresponding to the target journey in a manual driving mode, and the first path data comprise navigation data corresponding to a full navigation path of the target journey; the full navigation path is planned according to the starting position and the ending position of the target travel; performing matching analysis on the driving track data and the first path data to obtain a matching result; performing data clipping on the driving track data and the first path data according to a matching result to obtain a target clipping result; and generating a target navigation path based on the target clipping result. The technical problem that the navigation path generation accuracy is poor due to the fact that a navigation path generation method provided in the related technology is difficult to adapt to personalized driving is solved.

This application discloses a method, apparatus, and computer program product for processing outbound call services. Relating to the field of artificial intelligence, the method includes: executing an outbound call task to a user; processing the target service according to a preset service processing procedure; collecting the user's voice signal during the target service processing; extracting voice features and voice content from the voice signal; determining the current service processing node corresponding to the voice content in the preset service processing procedure; determining the service path map corresponding to the preset service processing procedure; determining a path deviation index value based on the current service processing node and the service path map; inputting the voice features into a target model to obtain the user's behavior recognition result; determining a risk index value for the user interrupting the target service based on the behavior recognition result and the path deviation index value; and adjusting the preset service processing procedure according to the risk index value. This application solves the problem of poor accuracy in recognizing user intent in outbound call services in related technologies.

The present application relates to the technical field of component detection, in particular to a rapid detection system for respiratory tract sputum components of severe patients based on mass spectrometry. The system can realize the following steps through the cooperation between multiple modules: obtaining a target mass spectrum corresponding to a respiratory tract sputum sample of a patient to be detected, and identifying a target characteristic peak and its corresponding isotope peak cluster in the target mass spectrum; determining a pathogen compliance index, protein flooding possibility and isotope peak distribution rationality corresponding to each target characteristic peak; screening protein flooding characteristic peaks from all target characteristic peaks; segmenting target pathogen peaks from the protein flooding characteristic peaks, and detecting respiratory tract sputum components according to the target characteristic peaks and the segmented target pathogen peaks. The present application realizes the segmentation of protein flooding characteristic peaks by analyzing the protein flooding condition in the characteristic peaks, thereby facilitating the identification of the flooded pathogen, and further improving the accuracy of respiratory tract sputum component detection.

The present application discloses a method, device, electronic device and storage medium for processing three-dimensional point clouds, and relates to the fields of computer vision and three-dimensional data processing. The method includes: obtaining three-dimensional point cloud data and a first target point selected in a three-dimensional coordinate system; projecting the three-dimensional point cloud data into two-dimensional point cloud data and the first target point into a second target point in two-dimensional form according to the coordinate axis of the three-dimensional coordinate system; taking the point in the two-dimensional point cloud data that is closest to the second target point as the third target point; taking the point corresponding to the third target point in the three-dimensional point cloud data as the key point that has a mapping relationship with the first target point. The present application solves the technical problem that the prior art cannot ensure that the point selected by the user is a real point in the point cloud data, resulting in poor accuracy when processing the point cloud data based on the selected point.

The present disclosure discloses a merchant recommendation method, device, electronic device and readable storage medium. The method includes: obtaining click sequence information of a target user; obtaining the recommendation score of each candidate merchant through a preset recommendation model according to the click sequence information; obtaining the target recommended merchant of the target user based on the recommendation score of the candidate merchant and pushing it to the target user; wherein the recommendation model is a combined model obtained by jointly training a double-layer recurrent neural network model and a deep neural network model. This solves the technical problem of poor accuracy of existing recommendation methods. The beneficial effect of improving the accuracy of recommended merchants is achieved.

This invention relates to the field of image analysis technology, specifically to an intelligent segmentation system for necrotic areas of diabetic foot wounds. This system, through the cooperation of multiple modules, can achieve the following steps: acquiring an RGB image of the foot wound corresponding to the target patient and performing Lab conversion; identifying the foot wound region; determining the grayscale feature value corresponding to each pixel in the foot wound region, thereby determining the texture color feature value corresponding to each pixel in the foot wound region; clustering the pixels in the foot wound region according to the texture color feature values; performing edge light penetration analysis on pixels within suspected necrotic tissue clusters, and filtering out the target necrotic wound region from the suspected necrotic tissue clusters. This invention, by analyzing RGB images of foot wounds, achieves the identification of necrotic wound regions and improves the accuracy of necrotic wound region segmentation.

The application discloses an eight-station parallel resistance calibration method and device based on a high-precision resistance network, and relates to the technical field of intelligent sensors.The application comprises the following steps: acquiring resistance range configuration information of each handheld digital multimeter, determining standard resistance values corresponding to each range, and placing the multimeters in eight calibration stations; synchronously outputting the standard resistance values corresponding to each station to each calibration station through a high-precision resistance network; reading resistance measurement values displayed by each multimeter through an image sensor; determining error correction coefficients corresponding to each station through data expansion and comprehensive evaluation according to historical calibration data, correcting the resistance measurement values of each station, comparing the corrected measurement values with the corresponding standard resistance values, and determining resistance calibration results of each multimeter according to the comparison results.The application solves the technical problems that the existing resistance calibration method for handheld digital multimeters relies on manual operation, which leads to low efficiency, and each station cannot be synchronously and parallelly calibrated, which leads to poor accuracy of the calibration results.

The present application provides a remote control interaction method, electronic device and storage medium based on voice recognition, the method comprising: when a first voice is received from a first object within a preset range, performing a first analysis on the first voice; when it is determined according to the first analysis result that there are at least two first objects within the preset range, and both are natural persons, performing a second analysis on the first voice to obtain a second analysis result; when at least two ages of at least two first objects are determined according to the second analysis result, determining a target preset time range corresponding to the first time; determining the target control priority of at least two first objects according to the target preset time range and at least two ages; performing a remote control interaction operation on a target audio-visual device according to the target control priority. The technical problem of poor accuracy of remote control interaction in a multi-user environment in the related art is solved, and the technical effect of improving the accuracy of remote control interaction in a multi-user environment is achieved.

The invention relates to the technical field of data processing, in particular to a fault tracing method, device and equipment based on an iron making process and a medium, and the method comprises the steps that when a product abnormal signal is received, the abnormal type is determined based on the product abnormal signal, and abnormal information is determined according to the abnormal type, and the abnormal information comprises abnormal equipment and an abnormal process; obtaining first equipment function information of the abnormal equipment and second equipment function information corresponding to all second equipment, wherein the second equipment is non-abnormal equipment; determining associated second equipment associated with the abnormal equipment based on the first equipment function information and second equipment function information corresponding to all the second equipment; obtaining association degrees corresponding to the abnormal process and all the associated second devices, and determining a target associated second device based on all the association degrees; and determining the abnormal equipment and all target associated second equipment as fault source equipment. According to the invention, the accuracy of the traceability result can be effectively improved.

The present invention relates to the technical field of image feature extraction, and in particular to a method for extracting the processing contour of an OSB board based on image feature extraction, the method comprising: using strong edges and weak edges obtained by edge detection of an acquired target OSB board image as initial edges; performing curvature change analysis processing on each initial edge; performing edge distribution difference analysis processing on the areas on both sides of each initial edge; determining the target contour index corresponding to each initial edge according to the curvature change index and edge distribution difference index corresponding to each initial edge; screening out strong contour edges; and adaptively connecting strong contour edges and target weak edges according to the target connection probability between all determined strong contour edges and all adjacent target weak edges to obtain a target edge contour set. The present invention realizes the extraction of the processing contour of OSB board through image feature extraction, and improves the accuracy of extracting the processing contour of the OSB board image.