76 results about "Ability testing" patented technology

The invention discloses a big language model evaluation method and device, equipment, a storage medium and a program product, and aims at evaluating a big language model in the aspect of subjective questions and answers by using an evaluation mode capable of automatically calculating a quantitative evaluation index, and improving the evaluation efficiency during capability testing. At least one of consistency evaluation of model questions and model answers and consistency evaluation of model answers and reference answers can be realized, and targeted automatic evaluation of the model is realized according to the similarity between the model answers and the model questions and the similarity between the model answers and the reference answers. The manual workload and error interference caused by manual subjective evaluation are reduced, and the evaluation efficiency and accuracy are improved.

The invention discloses a perception and communication detection platform and method in a complex weak communication environment. According to the detection platform, a high-simulation multi-physical field coupling test environment is constructed by integrating a weak illumination perception mechanism and capability test module, an anti-interference communication mechanism and capability test module, a complex environment detection mechanism and capability test module, a data acquisition and analysis system, a multi-scene coupling controller and a full-experiment-area weak electromagnetic shielding case. The adaptive test efficiency of the unmanned system in weak illumination, strong interference and complex terrain environments is remarkably improved, the method can be widely applied to the fields of underground exploration, emergency rescue and intelligent inspection, and the field test cost and risk are reduced.

The invention relates to the technical field of balance ability testing and health management, and discloses a multi-mode active and passive combined balance ability testing method which comprises the following steps: acquiring basic physiological data and dynamic mechanical data of a tester through a sensor, and executing a sensory comprehensive test, a passive test and an adaptability test; calculating a balance score according to the gravity center trajectory data of the sensory comprehensive test, generating a passivity score based on the active force response time and angular momentum data of the passivity test, and generating an adaptability score according to the swing energy data of the adaptability test; and integrating the balance score, the passivity score and the adaptability score, and generating a multi-dimensional balance capability evaluation report through comprehensive weight calculation. According to the method, the problem of insufficient multi-dimensional evaluation in the existing method can be effectively solved, and a more comprehensive, accurate and personalized balance capability test result is provided.

The invention discloses a student ability detection platform for education and teaching, belongs to the technical field of low-pressure casting machines, and aims to solve the problem that the existing student ability test cannot perform personalized accurate test according to the actual mastering condition of each chapter unit of a student. Through the test question bank storage module, by means of subject unit classification, knowledge point labeling association and question type difficulty management and control, a rich question type and difficulty system is combined, a teacher can conveniently and accurately select questions and form test papers, the purpose of providing scientific and reasonable test content for teaching is achieved, the historical data storage module keeps comprehensive score data and performs deep analysis, and the test efficiency is improved. The test question extraction module defines a state space, an action space and a reward function based on a reinforcement learning algorithm and according to historical answer data of students, and continuously optimizes a test question selection strategy, so that test questions closely meet actual demands of the students, and the effect of accurately detecting knowledge mastering conditions of each chapter unit of the students is achieved. And education and teaching quality improvement is effectively promoted.

The invention discloses a value recognition data enhancement method based on a large language model, which comprises the following steps: generating text data corresponding to a Schwartz value theory through role playing prompt and chain thinking prompt by utilizing the large language model; performing quality evaluation on the generated text data by using a large language model to obtain high-quality text data; combining the high-quality text data with an existing data set to obtain a new training set; training the BERT model based on the new training set; and performing a generalization ability test on the trained BERT model by using the test set, and outputting a value recognition result. According to the method, the Schwartz value theory is used as the support of the value framework theory for generation and evaluation, so that the generated data can be closely combined with the specific human value, and the performance of the model in the human value identification task is improved.

The invention belongs to the technical field of visual training, and particularly relates to a multi-dimensional visual training feedback method for improving binocular fusion visual and stereoscopic visual functions, and the method comprises the following steps: carrying out medical baseline detection, generating an initial ability portrait through visual function evaluation and cognitive ability testing, matching training difficulty parameters, and generating a personalized scheme; multi-modal game training is carried out, training types comprise gamification training, animation scene training and offline family task training, and the training difficulty is dynamically adjusted; a tutor performs remote one-to-one guidance, and dynamically adjusts a training scheme according to a change report by tracking the training progress in real time; and the system performs multi-dimensional effect evaluation and self-optimizes a difficulty prediction algorithm. According to the method, the problems of dull training and passive participation, scheme stiffness and execution deviation, single stimulation and cognitive load, scene limitation and continuous interruption are solved.

The invention relates to the technical field of education, and discloses a method for multi-dimensional ability assessment and training of teenagers and children, comprising the following steps: S1, data collection and preliminary assessment: collecting basic information of age, gender, past academic records and health conditions of the teenagers and children, and constructing a data file; according to age, a professional evaluation scale and test questions are used to carry out primary evaluation on multi-dimensional ability of cognition, memory, attention, learning difficulty and reading disorder, data are recorded, and standardized cognitive ability test questions are used to inspect cognitive level of children. According to the method and the system for multi-dimensional ability evaluation and training of the teenagers and children, basic information such as ages, genders, previous academic records and health conditions of the teenagers and children is comprehensively collected, professional evaluation scales and standardized cognitive ability test questions are applied, and the abilities such as cognition, memory and attention of the children are primarily evaluated from multiple dimensions.

The invention relates to the technical field of vehicle testing, in particular to a high-integration novel driving unit testing method, electronic equipment and a storage medium. The capability test system comprises a measurement module, a control module, a fixed support, a road load simulation platform arranged on the fixed support, a wheel load dynamic loading mechanism and an electrical system, and the method comprises the following steps: determining control parameters, simulation parameters, loading parameters and electrical parameters according to current test requirements, respectively controlling the road load simulation platform, the wheel load dynamic loading mechanism and the electrical system to be in corresponding states, sending control parameters to the to-be-tested high-integration novel driving unit, and measuring current test parameters of the to-be-tested high-integration novel driving unit; and obtaining a function test result and / or a performance test result of the to-be-tested high-integration novel driving unit. Therefore, the problems of high cost, high danger coefficient, long period and the like of the existing test method are solved.

The present invention relates to the field of data processing technology, and discloses a method and device for intelligently generating a music learning strategy, the method comprising: performing a music ability test on a target user according to user information, obtaining a music ability parameter of the target user, generating a music learning strategy for the target user according to the user information and the music ability parameter, obtaining a node learning result of each music learning node of the target user in the music learning strategy, and determining a music learning score of the target user according to each node learning result, optimizing and updating the music learning strategy according to the music learning score, and obtaining a target music learning strategy corresponding to the target user. It can be seen that the implementation of the present invention can formulate a corresponding music learning strategy for a user based on user information, can reduce the user's music learning cost, reduce the difficulty of music learning, and thus improve the user's efficiency in music learning and enhance the user's experience.

The invention discloses a robot system and method for teaching and training, and relates to the technical field of artificial intelligence education, and the system comprises a data initialization information collection module which is used for enabling a student to contact a robot for the first time, inputting a learning ability test result, hobbies and interests, and basic information of knowledge mastering degree self-evaluation by means of a multi-mode interaction interface of the robot, the basic information of the students is collected through the initialized information acquisition module, and the learning ability of the students is scientifically evaluated by means of the personalized learning planning module and the comprehensive characteristic index construction formula of the students, so that personalized learning paths are customized for the students, the pertinence and efficiency of learning are improved, and the learning ability of the students is improved. Meanwhile, the project type learning guiding module evaluates according to the project difficulty adaptation degree, it is ensured that the project difficulty is matched with the ability of the student, and the learning effect is further improved.

The present invention relates to a method for cognitive ability testing and a testing system using the same. According to the method and testing system of the present invention, a cognitive ability test related to prefrontal lobe activity can be performed very effectively and with high reliability, and the test results may be utilized to provide information for the diagnosis of diseases that cause cognitive ability decline.

The utility model relates to the technical field of glass testing equipment, and discloses a display glass chemical resistance testing device which comprises a base and further comprises first limiting rods and second limiting rods, a plurality of sets of limiting grooves are formed in the bottom of the base, mounting holes are formed in the limiting grooves, the first limiting rods are arranged in the mounting holes in rows, and the second limiting rods are arranged in the mounting holes in rows. The second limiting rods are arranged in the mounting holes in rows, the first limiting rods and the second limiting rods are arranged in the mounting holes in the same row in a staggered mode, and limiting blocks matched with the limiting grooves are arranged at the bottoms of the first limiting rods and the bottoms of the second limiting rods. The limiting rod can be conveniently installed, a sample can be conveniently inserted, and the testing effect and the testing efficiency are effectively improved.

The application discloses a perspective conversion and meta-cognition ability testing method and platform, the method comprises the following steps: in a space array with a three-dimensional sphere as a carrier, based on a determined perspective conversion condition, rotating and transforming the self orientation of a subject, generating and presenting a space array containing the new self orientation of the subject; based on the newly generated space array, determining a test position while shielding the display of the original five objects; collecting the judgment result of the subject on whether the object to be judged after the self orientation is rotated is located at the test position, and the confidence score submitted by the subject for the judgment result through a 7-point Likert scale; for the judgment result and the confidence score submitted by the subject under different perspective conversion conditions in the perspective conversion task, the test result of the subject is obtained. In the form of a perspective conversion task, the measurement of the meta-cognition monitoring ability related to the perspective conversion of an individual is completed through the completion of a behavior task and data collection.

The application discloses an ASD child gaze detection method and device, and a hand-eye coordination ability test equipment and method. The gaze detection method comprises the following steps: constructing and training a gaze detection model; collecting video data containing the face of an ASD child and inputting the video data into the trained gaze detection model to determine whether the ASD child gazes at a target; the gaze detection model comprises a spatial feature extraction module, which extracts spatial features of the video data frame by frame and outputs low-level detail features and high-level semantic features; a time feature enhancement module, which enhances the time features of the low-level detail features and the high-level semantic features output by each frame; and a gaze detection result generation module, which uses an SSD detection framework to output an eye detection frame of a current frame, and then uses a memory enhancement process to gather key information from long-term frames and short-term frames to enhance the eye detection frame of the current frame, so as to obtain the position of the eye detection frame of the current frame and a gaze contact classification result. In the test of the application, the tester does not need to wear and participate in calibration of any equipment.

The present invention discloses a standing human balance ability test method and test device, which relates to the technical field related to data processing. The method includes: clustering adolescent groups according to morphological features to determine multiple target groups and multiple group center features; determining a first associated motion set; obtaining a first motion qualified indicator set of the first associated motion set; determining a first adaptation test scalar based on the constraint of satisfying the first motion qualified indicator set; sequentially analyzing and obtaining multiple adaptation test scalar sets, integrating and generating multiple adaptation test evaluation tables, and evaluating balance ability. The method solves the technical problem that the existing standing balance ability test often directly conducts static evaluation based on fixed indicators, does not consider individual feature differences and the impact on life, and thus leads to poor accuracy, reliability and practicality of the evaluation results, and achieves the technical effect of improving the accuracy, reliability and practicality of the balance ability test results.

The present invention provides an intelligent agent social ability testing system and development method, including: a three-dimensional modeling dynamic function building subsystem, which uses three-dimensional modeling and Unreal Engine to obtain static city scenes and develop digital city dynamic functions to build a three-dimensional digital city; a social network interaction model subsystem, which builds a memory-inductive interaction intelligent agent in the digital city and a social network model; an intelligent agent access acceleration training subsystem, which selects an embodied character, connects to the digital city, and simultaneously starts an interpersonal trust algorithm expert model, and accelerates the interaction training speed of the memory-inductive interaction intelligent agent and the intelligent agent to be tested; an embodied observation training output subsystem, which synchronizes observation data to the intelligent agent to be tested and the interpersonal trust algorithm expert model, scores the feedback content of the intelligent agent to be tested, and outputs an intelligent agent social ability test report.

The invention provides a cleaning capacity test piece and a cleaning capacity test method, and relates to the technical field of photomask processing. The cleaning capacity test piece comprises a test piece body, the surface of the test piece body is divided into a pattern area, a plurality of first patterns are arranged in the pattern area, the pattern types of the first patterns are the same, and any two first patterns are different in line width and / or length-width ratio. The cleaning capability test piece is applied to photomask cleaning test evaluation, the first patterns with different line widths and / or length-width ratios are designed in the pattern area of the cleaning capability test piece, and the cleaning capability of the same cleaning condition on the first patterns with different line widths and / or different length-width ratios can be obtained through one-time test. And it is determined that the cleaning condition can guarantee the integrity of the first patterns, and the evaluation process of the whole photomask cleaning test is shortened. In addition, a preferable cleaning condition combination of the cleaning capacity and the graph integrity can be quickly found, cleaning is evaluated in time, a window is made through cleaning, and time is saved and efficiency is high.

This invention provides a device and method for testing the current withstand capability of a spring probe, comprising: a base; a supporting mechanism including a probe stage and a temperature control component for heating or cooling the probe under test; and a testing mechanism including a driving component and a conductive component. The driving component includes a driver and a pressure sensor. One conductive component is fixed on the base, and the driver is positioned along the length of the probe under test on one side of the probe stage, with its power output end facing the probe stage. The pressure sensor is connected to the driver and another conductive component on both sides, and the pressure sensor provides feedback on the spring force of the probe under test. Compared with conventional testing techniques, this application offers strong controllability, good versatility, a reasonable structure, and convenient operation. It can solve the defects of insufficient accuracy in probe current withstand capability assessment and the existence of blind spots in internal component monitoring, achieving direct and accurate assessment of the probe's current withstand capability.

The application discloses a high-speed conductivity testing method and system based on deep learning, and relates to the technical field of proppant conductivity testing. The application automatically lays a proppant sample in a conductivity chamber, obtains an initial microstructure image of the sample in an unloaded stress state, measures an initial conductivity, and establishes a first image performance calibration point. The application applies a program-controlled complex stress path to the conductivity chamber. The application realizes microstructure dynamic transparency, directly quantifies the proppant crushing, embedding and pore evolution process under the action of stress by means of real-time image acquisition and deep learning segmentation, and clearly defines the physical mechanism of conductivity decay. The application improves the intelligent level of the testing process, adaptively adjusts the loading strategy and data acquisition frequency through dynamic stress regulation and edge computing feedback, greatly shortens the testing cycle and improves the data effectiveness. The application improves the performance evaluation accuracy, adopts multi-modal data fusion and time series neural network modeling, and realizes accurate prediction of the conductivity.

The invention relates to an interface characteristic test system of a comprehensive equipment box for a multifunctional rod, which comprises an auxiliary test unit, a test unit, a data unit and interface equipment EUT, and is characterized in that the auxiliary test unit, the test unit and the data unit are connected with the interface equipment EUT; the auxiliary test unit and the test unit are connected with the data unit. According to the invention, the interface characteristic test, including interface output level test, interface loading capability test, interface signal level establishment capability test and interface receiving sensitivity test, is completed in a test room, and multiple interface performance tests can be completed through one-time wiring, so that high efficiency and safety are realized.

The invention provides a method and a device for testing the climbing ability of a highway tunnel horizontal rail robot, and aims to solve the problems that the friction coefficient is reduced and theoretical calculation and actual working conditions are disjointed due to rail pollutants in a tunnel, the height of a rail is adjusted through step-by-step decreasing, and a critical climbing angle is judged in combination with a laser sensor; parameters such as a rolling friction coefficient and an air resistance coefficient are introduced to evaluate the gradeability, and the defect that a traditional test method neglects environmental influence is overcome. The device adopts the design of an inverted T-shaped base bracket and a modular track, and a graded counterweight superposition test is added, so that the wide-angle working condition coverage range is expanded. According to the invention, an accurate evaluation basis is provided for tunnel robot design, and the accuracy of a robot climbing test is improved.

1. The name of the design product: bottle visual inspection equipment. 2. The use of the design product: for bottle code reader decoding ability test in high speed state, and visual software detection ability test. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The utility model discloses a device for testing the anti-biting capability of a wire rod. The device comprises a base, a fixing assembly for limiting the wire rod, and an upper occlusion assembly and a lower occlusion assembly which are oppositely arranged, the lower occlusion assembly is arranged on the fixing assembly; the fixing assembly is connected with the base in a position adjustable mode so that the upper meshing assembly and the lower meshing assembly can be arranged in a staggered mode or coaxially arranged in the horizontal direction. A detection space for a wire rod to pass through is formed between the upper occlusion assembly and the lower occlusion assembly; in the vertical direction, the upper occlusion assembly and the lower occlusion assembly can get close to each other or get away from each other so as to change the height of the detection space. According to the utility model, by adjusting the occlusion force, the occlusion duration, the occlusion times and the occlusion position, the anti-occlusion capability of the wire rod is fully detected, and the accuracy and the reliability of a detection result are improved.

The invention relates to the technical field of education assistance, and particularly discloses a Chinese application ability testing system and method.The system comprises an item setting module, a question setting module, an answering module and a scoring module; the item setting module is used for setting testing items, difficulty levels, rating of the testing items and rating standards; the question setting module is used for acquiring a target occupation of the student, generating an occupation initial test question in an application scene of the target occupation, and setting the difficulty of the initial test question to be middle; the answering module is used for acquiring the answering content of the students to the occupational first test questions in real time, and the scoring module is used for acquiring the answered content, performing rating and setting the difficulty of the occupational second test questions according to the current rating result; the question setting module is also used for generating occupational secondary test questions corresponding to the difficulty; the scoring module is further used for calculating a total score according to the rating of all the test questions. By adopting the technical scheme of the invention, the Chinese application ability of the student can be detected in a targeted manner before the student leaves the campus.

The application relates to the technical field of animal learning ability testing, in particular to a ring-shaped runway for detecting the space learning and memory ability of small animals, which comprises a ring-shaped bottom plate, an inner baffle is arranged on one side of the inner ring of the ring-shaped bottom plate, an outer baffle is arranged on one side of the outer ring of the ring-shaped bottom plate, an experimental area for placing experimental objects is arranged on the ring-shaped bottom plate, and a water drinking area for water drinking of research objects is arranged on the ring-shaped bottom plate. The application has the beneficial effect that in the behavioral study of animal space memory, the application can reduce the information interference suffered by the research objects and can truly reflect the space memory of the research objects under normal conditions.

A test and evaluation method for a virtual character, the method comprising: performing a battle capability test on a plurality of non-player virtual characters, so as to obtain initial evaluation results for the non-player virtual characters; on the basis of the initial evaluation results for the non-player virtual characters and preset evaluation results for player virtual characters, performing a battle capability test on the non-player virtual characters and the player virtual characters, so as to obtain a first battle result; and on the basis of the first battle result, updating the initial evaluation results and the preset evaluation results, so as to obtain target evaluation results for the non-player virtual characters and target evaluation results for the player virtual characters. A battle capability test performed on non-player virtual characters and a battle capability test performed on the non-player virtual characters and player virtual characters are performed by means of offline evaluation and online evaluation, such that skill levels of the non-player virtual characters and the player virtual characters can be accurately and objectively evaluated.

The invention discloses an intelligent robot three-dimensional space recognition capability testing device, which comprises a testing table, simulation body assemblies and a control device, and is characterized in that the simulation body assemblies can be arranged at any position of the testing table in a split or combined matching manner according to requirements, and can move on the testing table; the test bench can drive the simulation body assembly to lift and rotate so as to form a three-dimensional test space model, and the control device can control the moving, lifting and rotating states of the test bench and the simulation body assembly, so that the simulation body assembly forms three-dimensional test space models in various forms on the test bench. Various three-dimensional environment spaces in real life are effectively simulated, so that a good testing environment is formed, comprehensive testing of the three-dimensional space recognition capability of the intelligent robot is realized, and the accuracy of a testing result is improved.

1. The name of the design product: separate visual testing device. 2. The use of the design product: for code reader high-speed decoding ability test and visual detection algorithm ability test. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention relates to the technical field of artificial intelligence, in particular to a basketball confrontation ability testing method and system based on artificial intelligence, and the method comprises the following steps: on the basis of collected data of wearable equipment, carrying out the real-time monitoring of physiological activity data of basketball players, optimizing the integrity and accessibility of information, and generating a physiological data set of the players; according to the method, physiological data of basketball players are monitored in real time, information integrity and continuity are optimized, accuracy and timeliness of evaluation results are improved, muscle activities are continuously monitored, scientificity of strength evaluation is improved, heart rate and blood oxygen changes of the basketball players are analyzed, comprehensiveness of endurance evaluation is enhanced, and the basketball players are more intelligent. A basketball confrontation scene is simulated in combination with historical data, the evaluation practicability is improved, the training pertinence is improved, the basketball confrontation ability of athletes is evaluated by adopting a dynamic time bending algorithm, and powerful data support is provided for training and match strategy optimization.