13results about How to "Low resolution accuracy" patented technology

The application discloses a data processing method and device, a storage medium and an electronic device. It relates to the technical field of medical treatment. The method comprises the following steps: a tibia three-dimensional model is constructed, and a plurality of target steel nail three-dimensional models are obtained; a plurality of second medical images are obtained, and a plurality of target steel nail first two-dimensional pixel point sets and a tibia second two-dimensional pixel point set are obtained according to the plurality of second medical images; target space conversion parameters of the plurality of target steel nails in the tibia coordinates are obtained by calculation according to the target steel nail first two-dimensional pixel point sets, the tibia second two-dimensional pixel point set, the tibia three-dimensional model and the steel nail three-dimensional models; a guide plate model is obtained according to the target space conversion parameters, and a target space posture of a tibia osteotomy plane is obtained according to the guide plate model. Through the application, the technical problem that the space posture of the tibia osteotomy plane is relatively low in accuracy because the space posture of the tibia osteotomy plane is determined by relying on artificial experience is solved.

The application relates to an image display method and device, an AR display system and an electronic device, and is applied to an AR display system, the AR display system comprising a diffractive optical waveguide. The image display method comprises the following steps: acquiring an image to be displayed; inputting the image to be displayed into a pre-trained image conversion model to output a target compensation image; wherein the image conversion model is generated according to at least a projection inverse function; the projection inverse function is used to indicate an image mapping relationship between the image to be displayed and the target compensation image, and the image mapping relationship is at least associated with the diffractive optical waveguide; and generating an image display result based on the target compensation image. Through the application, the problem of low accuracy of image display is solved, and a display optimization method of a high-precision AR display system is realized.

This application relates to an image detection method, apparatus, system, and electronic device. The image detection method includes: acquiring a white light image and a NBI image of an image to be detected; performing feature extraction processing on the white light image and the NBI image respectively to obtain color depth features of the white light image and texture depth features of the NBI image; performing depth feature fusion processing based on the color depth features and the texture depth features to obtain fused depth features; performing image quality detection processing based on the fused depth features; and generating a target image detection result for the image to be detected. This application solves the problem of low accuracy in image detection and achieves an accurate and efficient image detection method.

This application provides an image positioning correction method, apparatus, storage medium, and electronic device. The method includes: acquiring an image to be positioned; selecting a calibration image corresponding to the image to be positioned from a preset set of calibration images to obtain a target calibration image, and identifying a set of calibration points in the image to be positioned; updating the homography matrix based on the set of calibration points in the image to be positioned and the set of calibration points in the target calibration image; correcting the pixel coordinates of each pixel in the image to be positioned according to the updated homography matrix; and positioning the image to be positioned according to the corrected pixel coordinates of each pixel to obtain the geographic coordinates corresponding to the image to be positioned. This application solves the problem of poor positioning accuracy by updating the homography matrix, thereby reducing the error in geographic coordinate mapping.

This invention relates to the field of data analysis technology, and discloses a method, device, electronic device, and storage medium for analyzing human squatting behavior on a toilet. The method includes: performing a Fast Fourier Transform on millimeter-wave radar echo signals to obtain a range-Doppler image; extracting the posture point cloud features and range-Doppler features of the human target in the range-Doppler image; performing height analysis on the human target based on the posture point cloud features to obtain sitting height thresholds and standing height thresholds, and identifying candidate sitting and standing behaviors; and performing probability discrimination of squatting behavior on the human target based on the candidate sitting and standing behaviors, posture point cloud features, and range-Doppler features to obtain the squatting behavior recognition result. By implementing signal processing, feature extraction, height analysis, and squatting behavior discrimination of millimeter-wave radar signals, this invention can improve the accuracy of human squatting behavior analysis while ensuring the privacy of human behavior analysis.

This application discloses a method, system, device, and storage medium for predicting the immunogenicity of neoantigens. The method includes: acquiring tumor mutation data and synthesizing candidate peptides; constructing a training set with HLA typing and immune tags; extracting and fusing multi-omics feature vectors covering dimensions such as binding affinity, complex stability, presentation probability, expression level, mutation frequency, and clonal abundance; training the model using random balanced forest and XGBoost ensemble learning to obtain an immunogenicity prediction model; outputting immunogenicity probability scores for the peptides to be predicted and prioritizing them accordingly to generate a neoantigen list. This application significantly improves the accuracy and screening efficiency of neoantigen immunogenicity prediction by fusing multi-omics features and integrating the immunogenicity prediction model.

This application provides a method and system for predicting peak vibration of open-pit bench blasting, relating to the field of engineering blasting safety technology. The method, after acquiring monitoring data, constructs a multi-parameter formula for predicting the maximum peak velocity of blasting vibration through dimensional analysis. Then, based on the velocity prediction formula, Bayesian theory is used to obtain the optimal prediction model for peak blasting vibration, which is then used to predict the peak blasting vibration. This method introduces Bayesian theory into the field of blasting vibration prediction, achieving a correction of the blasting vibration prediction model that balances data fitting and anti-interference capabilities from both physical and statistical perspectives. This method improves the accuracy of peak vibration prediction, provides a reliable basis for controlling blasting vibration, and solves the problem of low accuracy in peak vibration prediction.

This utility model provides a non-limiting cyclic fixture for battery testing, belonging to the field of new energy batteries. The fixture includes a battery under test, an upper pressure plate, a lower pressure plate, a slide rod, a spring, and a pressure sensor. The battery under test is clamped between the upper and lower pressure plates. The pressure sensor is located on the side of the upper pressure plate away from the battery under test. A mounting hole is provided on the lower pressure plate. One end of the slide rod is fixedly connected to the upper pressure plate, and the other end passes through the mounting hole. The lower pressure plate is slidably mounted on the slide rod. The spring is sleeved on the slide rod and located on the side of the lower pressure plate away from the battery under test. Using the non-limiting cyclic fixture for battery testing provided by this utility model can solve the problem of low accuracy in test results in the prior art.

This invention relates to the field of molecular diagnostics, disclosing a gene composition, kit, and its application for the early diagnosis of papillary renal cell carcinoma (pRCC). It provides a non-invasive and highly accurate diagnostic biomarker for pRCC, achieving a sensitivity, specificity, and accuracy of 86.05%, 90.51%, and 88.79%, respectively, demonstrating excellent clinical diagnostic performance and effectively addressing the problem of low accuracy in pRCC diagnosis. This invention also provides a kit for the combined detection of DNA methylation levels of the ZNF154, OXR1, TMEM178A, and LINE1 genes, which is simple to operate and has stable performance.

The application provides a Tor encrypted traffic classification method based on BiLSTM, and specifically comprises the following steps: S1, pre-processing a data set; S2, improving a GSK algorithm in parallel strategy to obtain a PGSK algorithm; S3, improving the PGSK algorithm in compact strategy to obtain a PCGSK algorithm; S4, performing parameter optimization on the maximum iteration number, initial learning rate and hidden layer of the BiLSTM by using the PCGSK algorithm; S5, introducing an attention mechanism to the optimized BiLSTM to strengthen the proportion of important features; and S6, classifying a Tor data set by using a PCGSK-BiLSTM. The technical scheme of the application overcomes the problem of low classification accuracy of the Tor encrypted traffic classification method in the prior art.

This disclosure relates to the field of face recognition technology, providing a method and apparatus for face recognition with occlusion. The method includes: constructing an occlusion perception network using a global average pooling layer, a fully connected layer, and an activation layer; constructing a right branch network using the occlusion perception network, a scale network, and a Transformer module; constructing a left branch network using an attention mechanism module and a scale network; constructing a peri-ocular attention network using the right and left branch networks; inserting the peri-ocular attention network after the second, third, and fourth stage networks of the residual network model, respectively, to obtain a face recognition model; training the face recognition model; and performing face recognition using the trained face recognition model. By employing the above techniques, the problem of low accuracy in recognizing occluded images using traditional face recognition models in the prior art is addressed.