13results about How to "Objective assessment" patented technology

This application discloses a method and related equipment for evaluating the smoothness of in-vehicle infotainment systems, relating to the field of vehicle testing technology. The method includes: acquiring a recorded video stream of the in-vehicle interaction process of a target vehicle; parsing and processing the recorded video stream to obtain temporal data of the visual features of the in-vehicle infotainment system during the interaction process; determining quantitative information on the smoothness of the target in-vehicle infotainment system based on the temporal data of the visual features; and generating a smoothness score characterizing the smoothness of the in-vehicle infotainment system based on touch response latency, animation frame dropping features, and stuttering features. This application, by parsing and extracting temporal data of the visual features from the recorded video stream of the in-vehicle interaction process, quantifying touch response latency, animation frame dropping features, and stuttering features, and generating a unified smoothness score, can achieve an objective, detailed, and comprehensive evaluation of the smoothness of the in-vehicle infotainment system.

This invention relates to a system for identifying and assessing valvular motion abnormalities in fetal echocardiography, specifically in the field of echocardiography imaging. The system first robustly extracts the valvular central skeleton from a single frame of ultrasound image, overcoming image noise interference. Then, it constructs a physically constrained curve model to simulate the valvular tissue's mechanical properties and precisely tracks its motion trajectory in the image sequence through spatiotemporal optimization. Finally, the system isolates the overall cardiac motion, quantifies the valve's own opening and closing deformation, interleaflet motion synchronicity, and local tissue strain rate, thereby achieving early, objective, and quantitative accurate assessment of fetal valvular motion dysfunction and assisting in clinical diagnosis.

The application discloses a salt-underground seismic image quality evaluation method and device, equipment and a storage medium. The salt-underground seismic image quality evaluation method comprises the following steps: acquiring a salt-underground seismic image to be evaluated, and uniformly setting at least two quality detection points in the salt-underground seismic image; determining a linear quality score relationship between an expert score result of a quality detection point and an optimal image attribute based on the expert score result of the quality detection point and an attribute value of the optimal image attribute corresponding to the quality detection point; and determining a predicted expert score result of the quality detection point based on the linear quality score relationship, and performing quality grade evaluation on the salt-underground seismic image to be evaluated. Through the technical solution, objective, rapid and accurate evaluation of a large amount of seismic images is realized.

This application provides a learning status assessment method, system, and device based on big data analytics, relating to the field of big data analytics. The method includes: collecting multi-source learning behavior data of students to construct individual knowledge graphs; collecting students' resting physiological signals to construct a physiological signal database; using the individual knowledge graphs as federated nodes and combining them with the physiological signal database to construct a group knowledge graph federation; constructing a teaching progress timeline based on knowledge points and calculating the progress offset between the student's current learning progress and the class's teaching progress; comprehensively evaluating the individual knowledge graphs, the group knowledge graph federation, and the progress offset to obtain a multi-dimensional comprehensive evaluation report; and using a multi-objective optimization algorithm to generate personalized learning plans and push them to students. This solves the technical problems of one-sided, subjective, and inaccurate learning status assessment results caused by a single evaluation dimension and neglect of the dynamic influence of class teaching progress.

The application discloses a measurement method of a brain load positive effect threshold based on a beta high-frequency band time specificity, and is characterized in that a plurality of test tasks of different brain load grades are set from low to high, and original electroencephalogram data of a person to be measured under different brain load grades are collected; the original electroencephalogram data are preprocessed, average band power index values of the person to be measured in a beta high-frequency band under different brain load grades are calculated according to the preprocessed electroencephalogram data; and the minimum time segment serial number of a statistical significant difference between double conditions of different brain load grades is calculated t i and a time segment serial number difference between adjacent brain load grades Adjt i , obtaining Adjt i a brain load grade corresponding to the minimum time i , i *is the brain load positive effect grade threshold of the person to be measured; and the method has the advantages that the beta high-frequency band time specificity change in electroencephalogram signal data is analyzed, and the brain load positive effect threshold of the person to be measured is objectively and accurately evaluated.

This utility model discloses a precise testing device for the compressive strength of packaging boxes, relating to the field of testing technology. The device includes a testing base plate, a support frame fixedly connected to the top of the base plate, a pressure sensor mounted on the top of the base plate, and a testing limiting structure located on the base plate. The limiting structure includes a mounting frame, a lifting plate, a drive motor, and a threaded rod. The mounting frame is fixedly connected to one side of the base plate, and a sliding groove is formed on the side of the mounting frame closest to the base plate. The drive motor is fixedly mounted on the top of the mounting frame. Through the cooperation of the mounting frame, the lifting plate, and the limiting plate, the consistency of the compression height can be ensured. Regardless of the height of the packaging box being tested, it can be conducted under the same testing conditions. This provides good lateral comparability for multiple sets of test data, enabling a more scientific and objective assessment of the packaging box quality.

The present application relates to the technical field of energy planning utilization, and particularly relates to a comprehensive energy system capacity planning optimization method for a zero-carbon park, the present application obtains an output power curve and a consumption power curve, divides a plurality of explicit time periods on the output power curve and the consumption power curve respectively, calculates explicit characteristic coefficients of the explicit time periods according to performance parameters of the explicit time periods, screens first profit and loss fluctuation time periods and second profit and loss fluctuation time periods according to analysis results of the output power curve and the consumption power curve under a first division ratio matching mechanism and a second division ratio matching mechanism, determines profit and loss fluctuation characteristic aggregation time periods, and determines an optimized calling mode of an energy storage end device in each profit and loss fluctuation characteristic aggregation time period, thereby, a complex energy supply and demand relationship is captured according to a multi-matching mechanism, and energy storage optimization calling is combined with physical constraints such as device capacity and geographical distribution, so that the overall performance of the energy system is improved.

This application provides a method for evaluating the effectiveness of physical education teaching based on Bayesian networks, including: calculating the interaction density and intensity distribution of classroom activities per unit time for behavioral feature sequences, extracting key feature indicators, and performing data dimensionality reduction; aligning the dimensionality-reduced classroom behavioral features with standardized physical fitness scores to construct the initial structure of the Bayesian network and determine the relationships between nodes; if there is a lag effect, introducing a time delay factor to adjust the conditional probability distribution in the Bayesian network and capturing the cumulative impact of classroom behavior on physical fitness test results; considering individual differences, calculating individual response coefficients based on students' historical physical fitness test results and classroom behavior data to correct the conditional probability distribution in the Bayesian network; and based on the constructed Bayesian network, inputting real-time classroom behavioral feature data to calculate the probability quantification value of teaching effectiveness and generate teaching effectiveness evaluation results.

The application discloses a driver behavior quick recognition method, which comprises the following steps: sending a to-be-recognized image to a PS end; processing the to-be-recognized image by the PS end using a trained recognition network and combining prior frame information of the trained recognition network, and sending a convolution processing task or a pooling processing task encountered currently to a PL end to assist the PL end in processing during the processing; executing the processing task sent by the PS end by the PL end and sending a calculation result obtained by the PL end to the PS end; continuing the processing by the PS end according to the calculation result, continuously sending a convolution processing task or a pooling processing task newly encountered to the PL end to assist the PL end in processing, and obtaining a three-dimensional processing result of the to-be-recognized image by the PS end; and performing non-maximum suppression processing on the three-dimensional processing result after decoding processing to obtain a recognition result of the to-be-recognized image. The application has the advantages of fast recognition speed, easy deployment, wide application range and low power consumption.

The invention relates to the technical field of intelligent medical treatment, in particular to an artificial intelligence-based acupoint stimulation system, which is characterized in that strain values generated by contact between acupoint electrodes and skin are acquired through a data extraction module, each acupoint electrode is controlled to be in a pre-output state through a stimulated evaluation module, and stimulated acupoints are screened in the pre-output state; the stimulated condition is judged through an intelligent analysis module according to the analysis result of the stimulated performance; and judging whether the first stimulation parameter is qualified or not based on the stimulated condition through a positioning adjustment module, or determining a second output parameter. Furthermore, a dynamic parameter adjustment mechanism is generated based on human physiological signals and muscle response characteristics, and the precision and intelligence of the acupoint stimulation process are improved according to physiological association among different acupoints in a multi-acupoint collaborative stimulation scene.

The invention relates to a fetal cardiac ultrasound valve motion anomaly recognition and function evaluation system, in particular to the field of cardiac ultrasound image.According to the scheme, firstly, a valve center line skeleton is extracted from a single-frame ultrasound image in a robust mode, and image noise interference is overcome; then, a physically constrained curve model is constructed to simulate mechanical properties of valve tissues, the movement track of the valve tissues is accurately tracked through space-time optimization in an image sequence, and finally, the scheme is used for stripping the overall movement of the heart, quantifying the opening and closing deformation of the valve, the movement synchronism between valve leaflets and the strain rate of local tissues. Therefore, early-stage, objective and quantitative accurate evaluation of fetal heart valve movement function abnormity is realized, and clinical diagnosis is assisted.

The present application relates to the technical field of test algorithm, and particularly relates to an image test method, product, method and storage medium, comprising: obtaining an expected layout image by screenshot; obtaining baseline pixel data and baseline feature value on the expected layout image as a baseline comparison object; obtaining a command of test software, and obtaining a real-time layout image by screenshot after the command is executed; obtaining real-time pixel data and real-time feature value of the real-time layout image; judging the consistency of the real-time layout image and the expected layout image by comparing the real-time pixel data with the baseline pixel data and / or the real-time feature value with the baseline feature value; and if the comparison result shows consistency, the test is passed. The method provided by the present application can solve the technical problem of poor consistency between an expected image and an image after software development in the current development and test software process.

The application discloses a serum biomarker for detecting transportation stress and application thereof, and the stress biomarker comprises C00141, C00127 and C00072. The application verifies that the three metabolites can be used as a serum biomarker combination for detecting rainbow trout transportation stress through non-targeted metabolomics combined with targeted metabolomics. The stress state of the rainbow trout can be evaluated in time and objectively, so that transportation conditions are optimized, anti-stress measures are taken, and loss caused by transportation stress is reduced.