15results about How to "Effective assessment" patented technology

The invention discloses a plastic stress whitening evaluation method, which belongs to the technical field of high polymer materials, and comprises the following steps: carrying out a tensile test on a to-be-tested sample, and constructing the relationship between the deformation quantity and the whitening state of the sample through a specific data acquisition and processing means; therefore, the whitening critical deformation quantity and the whitening deformation degree of the sample can be effectively evaluated.

The invention is suitable for the technical field of deep learning, and provides a nucleic acid aptamer generation and screening method and device, electronic equipment and a program product. The method comprises the following steps: inputting a target protein into a protein structure encoder, and extracting a first protein feature of the target protein; inputting the guiding condition and the guiding intensity coefficient into a condition diffusion model to generate at least one candidate nucleic acid aptamer; inputting each candidate nucleic acid aptamer into a nucleic acid encoder, and extracting a first nucleic acid sequence feature of each candidate nucleic acid aptamer; inputting each first nucleic acid sequence feature and the first protein feature into a semantic space alignment module, and calculating a prediction score of each candidate nucleic acid aptamer; adding each candidate nucleic acid aptamer and the predicted score thereof into a nucleic acid candidate pool; and determining the candidate nucleic acid aptamer with the highest predicted score in the nucleic acid candidate pool as the nucleic acid aptamer with the optimal binding capacity with the target protein. According to the invention, efficient generation and screening of the high-affinity nucleic acid aptamer can be realized.

The invention discloses a power electronic transformer micro-grid multi-objective optimization method and device, a medium and a product, and relates to the technical field of micro-grid operation and control. The objective function at least comprises a comprehensive objective function of an operation cost objective function, a micro-grid power loss objective function and a micro-grid voltage stability objective function; determining a global historical optimal position of a particle swarm through an improved particle swarm optimization algorithm; and the control parameters corresponding to the finally obtained global historical optimal position are applied to the actual control of the power electronic transformer micro-grid, so that the multi-target optimization of the operation cost, the power loss and the voltage stability of the micro-grid can be realized, and the multi-target collaborative optimization of the operation of the micro-grid can be realized. The global search capability and search efficiency of the optimization process are improved, and the economy, the energy efficiency level and the stability of micro-grid operation are comprehensively improved.

This invention relates to a multimodal orbital classification and recognition method, terminal, and medium based on edge AI. The method, applied to a mobile terminal, includes the following steps: acquiring a two-dimensional color image of a face to be recognized; performing region segmentation on the two-dimensional color image of the face to obtain a color image of the orbital region; acquiring three-dimensional face data corresponding to the two-dimensional color image of the face; obtaining a face depth image based on the three-dimensional face data; performing region segmentation on the face depth image to obtain a depth image of the orbital region; and using the color image of the orbital region and the depth image of the orbital region as input to a lightweight multimodal recognition model to obtain the classification result. Compared with existing technologies, this invention has advantages such as high reliability and small scale.

The invention discloses a method for judging weak vital signs based on an infrared geminate transistor illumination technology, and relates to the technical field of vital sign detection, the method is applied to a detection device which can be worn on a remains finger without heart rate and body temperature and without touching vital signs, and the weak vital signs are judged on the basis of an optical signal after interaction of infrared light and finger biological tissue. The method realizes discrimination of weak vital signs and automatically triggers alarm when weak life states such as false death are identified, and comprises the following steps: collecting and decomposing a mixed optical signal to obtain direct current and alternating current components; screening a preliminary effective signal segment based on the time domain stability of the alternating-current component signal, and calculating a microcirculation physiological coupling coefficient of the preliminary effective signal segment to discriminate a target signal segment; calculating a normalized cross-correlation function peak value of the alternating-current component signals in the target signal segment as cross-correlation peak value intensity, and calculating a steady-state volume index according to the average value of the direct-current component signals; and when the cross-correlation peak intensity and the steady-state volume index both meet a preset threshold condition, determining that weak vital signs exist.

This invention discloses an image data processing method and apparatus. The method involves acquiring an initial lesion image and at least one preoperative lesion image; determining a first mask image corresponding to the initial lesion image and a second mask image corresponding to the at least one preoperative lesion image; determining a first subtraction image and a second subtraction image based on the initial lesion image and the at least one preoperative lesion image; determining a first topological feature and a second topological feature based on the first and second subtraction images; determining target features corresponding to the lesion site based on the first subtraction image, the second subtraction image, the first topological feature, and the second topological feature; and inputting the target features into a pre-trained classification model to determine the judgment result corresponding to the lesion site. This method solves the technical problems of low efficiency and low accuracy when evaluating the disease information of patients based on image data, and improves the efficiency and accuracy of disease assessment.

The application relates to the field of digital music instruments, and particularly to a display method of playing fingering and an intelligent music instrument. The method comprises the following steps: acquiring a plurality of groups of motion capture results, each group of motion capture results comprising hand posture data and key movement data, and the motion capture results being associated with corresponding third time stamps; generating a plurality of groups of hand playing images according to the plurality of groups of hand posture data; generating a plurality of groups of key pressing images according to the plurality of groups of key movement data; superimposing the plurality of groups of hand playing images and the plurality of groups of key pressing images based on the third time stamps to generate continuous playing animation, and the playing angle of the playing animation comprises a first angle and a second angle; playing the playing animation by using the first angle, monitoring missing data of a plurality of hand feature points in the playing animation of the first angle, and updating the playing angle to the second angle according to the missing data. While maintaining the clear presentation of key information, seamless and natural angle conversion is realized, and the visual experience is effectively improved.

The present application relates to the technical field of propeller hydrodynamic measurement method, and particularly relates to a propeller lateral excitation force measurement method, which converts the dynamic force signal measured by a sensor in a rotating coordinate system XOY into a propeller lateral excitation force signal in a fixed coordinate system X1OY1 in the form of equal-phase resampling, and can effectively evaluate the propeller lateral line spectrum excitation force. The main steps include test system calibration, signal synchronous acquisition, equal-phase resampling, coordinate transformation and Fourier transformation. The method has clear design process, clear operation and great engineering practical value.

The invention discloses application of electrochemical active bacteria sensitive to benzene series pollutants in detection of water quality biotoxicity, and belongs to the technical field of water quality biotoxicity detection.The water quality biotoxicity of toxic pollutants is measured according to the electric signal inhibition rate of bacteria liquid of the electrochemical active bacteria; the toxic pollutants are benzene series pollutants; the electrochemical active bacteria are toxobacter, specifically, the toxobacter pacificus. The method provided by the invention is relatively simple and convenient in overall operation, can quickly obtain a detection result under the condition of reasonably controlling time and conditions, can timely and effectively evaluate the biotoxicity condition of the water body polluted by the benzene series pollutants, provides a powerful basis for environmental protection, water resource management and related pollution abatement decisions, and has a wide application prospect. And the method has relatively high practicability and application prospects.

The application discloses a patient motion function rehabilitation prediction method and system, a terminal and a storage medium. The method comprises the following steps: acquiring an electroencephalogram signal and an electromyogram signal of a patient, preprocessing the electroencephalogram signal and the electromyogram signal to obtain a target electroencephalogram signal and a target electromyogram signal, analyzing the target electroencephalogram signal and the target electromyogram signal to obtain a brain-muscle coupling result, and extracting features from the target electroencephalogram signal and the target electromyogram signal to obtain a first time-frequency feature and a second time-frequency feature; inputting the brain-muscle coupling result, the first time-frequency feature and the second time-frequency feature into a trained rehabilitation evaluation prediction model, and outputting a target motion function rehabilitation evaluation prediction result. The application proposes a method for modeling the relationship between the electroencephalogram signal and the electromyogram signal of a stroke patient and the human motion function of the patient in a long time sequence, thereby effectively evaluating and predicting the evolution of the human motion function rehabilitation of the patient in the time sequence, and improving the accuracy of the human motion function prediction.

The application discloses a kind of power battery factory safety intelligent fast detection evaluation system and method, the system includes detection evaluation device and man-machine interactive terminal, detection evaluation device is portable and includes battery communication module, temperature acquisition module, central processing unit, energy storage power supply module, wireless communication module and portable machine box, battery communication module, central processing unit, energy storage power supply module and wireless communication module are all arranged in portable machine box, battery communication module, temperature acquisition module, energy storage power supply module and wireless communication module connect central processing unit, one end of battery communication cable is led to outside portable machine box, and central processing unit is connected with man-machine interactive terminal and enterprise manufacturing database by wireless communication module.This application is portable, without connecting a variety of equipment and external power supply, simplify operation time, suitable for large-area storage and other no power supply condition place, also provides an evaluation method that whether battery exists hidden danger is intelligently and effectively evaluated.

The invention relates to the field of lower limb motion function evaluation, and particularly discloses a lower limb motion function evaluation method and system for symmetrical gaits of a stroke patient. The lower limb motion function assessment method is designed for solving the problem of subjectivity of motion function assessment of a stroke patient. The method comprises the following steps that S101, lower limb surface electromyogram signals of a subject in the target task movement process are collected; step S102, preprocessing the electromyographic signals; s103, extracting time domain features, symmetry features and muscle collaborative quantitative features of the preprocessed surface electromyogram signals, and constructing a feature fusion data set; step S104, building a lower limb motion function evaluation model by using a lightweight gradient lifting mechanism; and S105, classifying the pathology and normal motion modes of the subject according to the evaluation model, outputting motion function scores, and quantifying the contribution of the characteristics through a summer-Part explanation method.

This application relates to the field of otolaryngology technology, specifically a method and system for predicting the risk of papillary thyroid carcinoma. By combining multiple sets of clinical indicators and multiple imaging feature data, this application can effectively assess and predict the risk of papillary thyroid carcinoma. The scoring data provides a more intuitive determination of the severity of papillary thyroid carcinoma, thereby enabling the differentiation between atypical subacute thyroiditis and papillary thyroid carcinoma. Compared to existing technologies, the discrimination results of the embodiments in this application are more accurate.

This invention discloses a method for real-time ship load calculation, relating to ship load calculation technology. It involves obtaining the ship's average draft from its periphery using a three-point detection method; determining the ship's center of buoyancy; and obtaining the average draft of the ship's trim based on the trigonometric relationship between the center of buoyancy and the midships; applying a weighted correction to the average draft of the ship to obtain the average draft; determining an interpolation interval based on the average draft; and calculating the ship's load capacity using linear interpolation. This invention provides highly accurate ship weight measurement; it enables real-time acquisition of ship load capacity, timely and effective assessment of ship energy efficiency, and has a wide range of applications.

The invention belongs to the technical field of helicopter rotor blade front edge wrapping sheet sand prevention, and particularly relates to a helicopter rotor blade front edge wrapping sheet and a coating sand corrosion resistance test method. An adopted sand blasting machine is a device for jetting fine particles (also called sand grains) at a high speed through a spray gun opening by using air with pressure. The assessment target of the sand erosion impact resistance test of the helicopter rotor blade front edge wrapping piece and the coating is reasonably determined according to the accurately calculated parameters such as the time of the helicopter exposed in the sand dust environment, the air sand content, the blade airfoil swept area, the diameter of a blasting gun opening of a sand blasting machine, the unit time spraying weight and the like. In the test, the influence of heat accumulation on the test result is avoided, and an intermittent discrete impact test method is reasonably adopted. And the performance of the helicopter rotor blade front edge wrapping sheet and the coating can be effectively assessed.