13results about How to "Improve scoring accuracy" patented technology

The invention discloses a sow body condition comprehensive scoring method based on data layer fusion, and belongs to a detection method. The method comprises the following steps: S1, image acquisition and data acquisition; s2, fusing the RGB image and the depth image into a point cloud; s3, fusing the original point cloud and the fused point cloud; s4, fusing the fused point cloud and the one-dimensional data; s5, establishing and training a sow body condition scoring model; s6, scoring the body conditions of the sows. According to the method, data layer fusion of one-dimensional data, two-dimensional images and three-dimensional images is completed through a data fusion method, a CIW method is provided, the method aims at improving the attention degree of a model on minority classes (long tail parts) and maintaining the recognition capacity on majority classes, and RGB images comprise the color, contour and texture features of pig bodies; pig body characteristics of a single laser point visual angle are collected by the depth camera; the laser radar collects pig body characteristics of the visual angles of a plurality of distributed laser points; the three types of different image features complement each other, and meanwhile, different varieties, tire numbers and production stages are considered, so that the scoring method has wide applicability.

The application discloses a bronchoscope supply-demand dynamic matching method based on multi-source data fusion, comprising: collecting multi-source heterogeneous data and performing fusion processing to obtain a device feature matrix, a demand feature matrix and an environment feature vector; determining a score calculation strategy according to a comparison result of a historical matching data accumulation amount and a preset threshold, determining a device availability score and a demand urgency score based on the device feature matrix and the demand feature matrix according to the score calculation strategy; constructing a device queue and a demand queue, attaching an initial scene label to each demand and performing identification, and outputting a standardized scene type; outputting an optimal matching scheme through a reinforcement learning intelligent agent based on the device queue, the demand queue, the standardized scene type and the environment feature vector; performing intelligent scheduling based on the optimal matching scheme, updating the queue based on external real-time events, and if both queues are non-empty at the same time, obtaining a new optimal matching scheme, otherwise, keeping a waiting state. The application can improve matching efficiency and accuracy.

The invention discloses an automatic scoring system for SPARCC and SPARCC SSS scoring of ankylosing spondylitis, and belongs to the technical field of medical informatization, and the system comprises an image collection and processing module which is responsible for receiving and preprocessing an MRI image of a patient, including image denoising and enhanced comparison, and providing high-quality image data for subsequent scoring analysis; the feature extraction module is used for automatically extracting features related to the SPARCC score and the SPARCCSSS score from the processed image based on a preset algorithm, such as a bone marrow edema region and a subchondral sclerosis degree; and the score calculation module is used for automatically calculating and generating a score result according to the extracted features and the standards of SPARCC scores and SPARCCSSS scores. The score calculation comprises comprehensive consideration of multiple dimensions such as an accumulation range, edema intensity, edema depth and the like; and the result display and report generation module is used for displaying the scoring result to a doctor in an intuitive manner. According to the automatic scoring system for the SPARCC and SPARCC SSS scoring of the ankylosing spondylitis, rapid judgment and automatic scoring can be realized.

Embodiments of this application disclose a scoring method and a related apparatus, to score reply content of a user, so as to accurately assess an employee. The method in embodiments of this application includes: obtaining reply content of a user to a target question; extracting M groups of candidate assessment points from the reply content based on M target assessment points, where the M target assessment points are obtained based on a target answer to the target question, each group of candidate assessment points includes N candidate assessment points and corresponds to one target assessment point, each candidate assessment point includes a plurality of consecutive characters in the reply content, and both M and N are positive integers; and obtaining a score of the reply content based on the M groups of candidate assessment points and the M target assessment points.

The invention discloses a femoral head necrosis scoring system and method based on a CT image, and belongs to the technical field of image processing. By collecting preoperative hip joint CT data of a femoral neck fracture patient, through preprocessing operations of unifying resolution, calibrating an area of interest and the like, and in combination with multiple data enhancement means, sample diversity is improved; the method comprises the following steps: firstly, extracting a plurality of images, then converting the images into sagittal plane views, axial plane views and coronal plane views, fusing features, extracting multi-scale spatial features based on Video Swin Transformer, outputting continuous risk scores between 0 and 1, and finally training the model by adopting a corresponding loss function and an optimizer until convergence; according to the femoral head necrosis scoring system and method based on the CT image, the problems that a traditional method subjectively depends on experience and lacks quantitative indexes are solved, the scoring accuracy and efficiency are improved, and an objective basis is provided for clinical risk assessment.

The invention relates to the technical field of software intelligent evaluation, in particular to an intelligent evaluation method and system for WPS operation questions. According to the scheme, firstly, the target document of the answering interface is obtained, the target document is the answering document of the examinee, then, the answering information of the examinee in the target document is extracted, each index point in the answering information is evaluated according to the preset scoring index point information, then, the corresponding evaluation results are output respectively, and finally, the evaluation results are output. According to the evaluation result, the corresponding index points are scored, a score corresponding to each index point is obtained, and the scores are displayed at the corresponding positions of the answer interface, so that intelligent evaluation of the WPS operation questions is completed. By the adoption of the scheme, answering and evaluation can be carried out synchronously, a WPS document submitted by an examinee does not need to be independently opened subsequently for analysis and evaluation, the scoring accuracy can be improved, the evaluation efficiency can be improved, and the investment of labor cost is effectively reduced.

The embodiment of the utility model provides a coal mine power supply intelligent centralized control system simulation practical operation platform, the coal mine power supply intelligent centralized control system simulation practical operation platform comprises a display terminal, an operation table, an air duct assembly and a controller, the display terminal comprises a display and a rack, the display is connected with the rack, the rack is provided with a tool placing rack, and the operation table is connected with the controller. A first sensor is arranged on the tool placing frame, the operation table comprises a first feed switch, a first dual-power switch, a second feed switch and a first electromagnetic switch which are arranged in sequence, the first feed switch, the second feed switch and the first electromagnetic switch are each provided with an isolation switch, and each isolation switch has an opening position and a closing position; the opening position and the closing position are respectively provided with a second sensor, and the second sensors are used for detecting the position of the isolation switch. The coal mine power supply intelligent centralized control system simulation practical operation platform of the embodiment of the utility model has the advantages of high training efficiency and the like.

The invention provides a spoken language evaluation model training method, a spoken language evaluation method, equipment and a medium, and relates to the technical field of natural language processing, the method comprises the following steps: updating parameters of a pre-training language model in a first spoken language evaluation model to obtain a second spoken language evaluation model; constructing a third spoken language evaluation model according to the second spoken language evaluation model and the initialized multi-scale acoustic adaptation module; freezing parameters to be frozen in the third spoken language evaluation model, and updating parameters of an initialized multi-scale acoustic adaptation module in the third spoken language evaluation model to obtain a fourth spoken language evaluation model; and training the fourth spoken language evaluation model to obtain a target spoken language evaluation model for carrying out spoken language score prediction according to the multi-scale acoustic features and the text features. According to the spoken language evaluation method and device, spoken language evaluation is performed by fusing the multi-scale acoustic features and the text features, the objectivity and distinction degree of spoken language evaluation results are improved, and then the spoken language scoring accuracy is improved.

This application discloses an AI-based secure grading system and method based on scoring points, belonging to the field of computer-aided education technology. The system includes: a question bank data interface module, which organizes question bank data hierarchically, labels each scoring point with a preset score, and associates the data with exam type identifiers; a scoring rule configuration layer, which maintains independent scoring meta-rules for each exam type; a scoring prompt word construction module, which establishes a cross-layer index association from the question bank layer to the configuration layer through exam type identifiers, loads scoring meta-rules, and assembles them into structured prompt words; a concurrent scheduling and secure call module, including semaphore rate limiting, exponential backoff retry, and concurrent scheduling; a post-processing score clamping module, which sequentially executes scoring point-level and total score clamping, followed by automatic filtering at multiple confidence levels, without requiring manual intervention throughout the process; and a scoring output module, which outputs the grading results after security verification. This application adapts to the scoring logic of different exams through cross-layer index association, combined with multi-level security clamping and fully automatic confidence filtering, to achieve universal AI-based secure grading.

The invention relates to the technical field of driving test, and discloses a method and a device for monitoring a commission behavior of an examiner based on vehicle-road cloud integration, and the method comprises the steps: collecting a first movement parameter of a target object in a target region in a driving test scene and a second movement parameter of a driving test vehicle driven by the examiner; according to the first movement parameter and the second movement parameter, analyzing a driving test behavior of the test person for the target object; and when the driving test behavior of the examinee is a non-commission behavior, the second movement parameter of the examinee is transmitted to a roadside edge system to trigger the roadside edge system to deduct points from the examinee according to the second movement parameter, and the roadside edge system is realized based on a vehicle-road cloud integrated architecture. Visibly, the implementation of the invention can integrate the rail vehicle and the road cloud, and is beneficial to improving the monitoring accuracy and efficiency of the commission behavior of the examinee in the driving test, thereby being beneficial to improving the scoring accuracy of the examinee, and further being beneficial to the fairness and consistency of the driving test result.

This application provides a speech recognition method, speech recognition device, electronic device, and storage medium, belonging to the field of financial technology. The method includes: acquiring target speech data; extracting acoustic features from the target speech data to obtain target acoustic features; decoding the target speech data based on a decoding model to obtain a target word graph; the target word graph includes word nodes and a speech feature sequence, the speech feature sequence including at least two speech words; constructing multiple candidate sentence paths based on the word nodes and speech feature sequence; initially scoring the speech words of each candidate sentence path to obtain a preliminary word score; correcting the preliminary word score based on the target acoustic features to obtain a target word score; filtering the candidate sentence paths according to the target word score to obtain a target sentence path, and concatenating the speech words of the target sentence path to obtain target sentence data. This application can improve the accuracy of speech recognition.

The present invention relates to the field of autonomous driving technology, and discloses a lane line correlation degree determination method, device, equipment and storage medium, which are used to improve the scoring accuracy of the correlated lane lines between every two frames of lane line detection image data when there is an offset distance between lane lines in different frames and they are relatively misaligned. The lane line correlation degree determination method comprises: acquiring multiple frames of lane line detection image data, each frame of lane line detection image data includes multiple detected lane lines; performing lane line discrete point correlation processing on the multiple frames of lane line detection image data to obtain multiple lane line correlation degree scores between every two frames of lane line detection image data; and determining the correlated lane lines between every two frames of lane line detection image data according to the multiple lane line correlation degree scores.

The invention relates to the technical field of information, in particular to an application scoring method and system, computer equipment and a readable storage medium. The application scoring method comprises the following steps: acquiring application information, wherein the application information comprises a configured category label; obtaining all rule instances associated with the category label; executing each rule instance to determine application score information corresponding to each rule instance; and determining target scoring information based on all the application scoring information. The scoring accuracy of the application can be effectively improved, and the labor cost can be effectively reduced.