27 results about "Ability testing" patented technology

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 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.

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.

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.

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 utility model belongs to the technical field of compression resistance testing, and particularly relates to a compression resistance testing device for a simulation type closed-loop control servo actuator, which comprises a base and an electric cylinder to be tested, and further comprises an adapting piece, a turnover driving mechanism; a lifting plate; the movable seat is movably connected to the bottom surface of the lifting plate; a displacement driving mechanism; the top plate is supported and fixed above the base through a plurality of supporting columns which are distributed at equal intervals in the circumferential direction; a hydraulic cylinder; a guide column; a universal rotary connecting piece; the supporting disc is connected to the top end of the universal rotating connecting piece in a turnover mode; the pressure sensor is fixed on the top surface of the supporting disc; a limiting disc; according to the utility model, the position of the connection point of the to-be-detected electric cylinder and the motion platform and the inclination angle of the to-be-detected electric cylinder can be adjusted, so that the detection result is closer to the real working scene, and the detection accuracy is greatly improved.

The invention discloses an auxiliary user vision art education operation method, a robot system and an interaction system, the auxiliary user vision art education operation method is applied to the robot system, the robot system comprises an interaction interface and a mechanical arm, at least part of the mechanical arm is arranged on the hand of a user in a sleeving mode, and the method comprises the steps that based on the ability test result of the user, the interaction interface is obtained; creating an artistic creation task suitable for the user; displaying guide information corresponding to the artistic creation task on the interactive interface; the guide information is used for guiding the user to perform creation operation on the interactive interface; and in the creation process of the user, the mechanical arm is controlled to assist the hand movement of the user, and the art works related to the art creation task are obtained. At least part of the mechanical arm can be arranged on the hand of a user in a sleeving mode so as to assist the hand of the user. According to the guiding information set by the artistic creation task, the artistic creation task can be simplified, gradual guiding of user creation is realized, and the creation difficulty is reduced.

The present disclosure provides a large language model superposition adapter-based children's language ability testing method, device, medium, system and terminal. The large language model superposition adapter-based children's language ability testing method comprises: obtaining a pre-trained large language base model and at least one children's corpus; preprocessing the at least one children's corpus to determine a children's language training set; inserting a large language model adapter into the large language base model to determine a to-be-trained children's language dialogue model; inputting the children's language training set into the to-be-trained children's language model for model processing to determine the children's language dialogue model; inputting the voice of a to-be-tested child into the trained children's language dialogue model to determine the voice dialogue predicted by the children's language dialogue model; and determining the language ability detection result of the to-be-tested child according to the voice of the to-be-tested child and the predicted voice dialogue. The present disclosure realizes children's language training and children's language ability evaluation.

The application provides a kind of distribution terminal single-phase ground fault research and judgment capability test method and system based on true type test platform, builds encrypted wireless communication environment and terminal hardware detection system, constructs the true type test field of adjustable network frame and grounding mode and selects overhead-cable hybrid test line;In the middle section, end and overhead-cable transition node of line, set up collaborative fault point, trigger multiple types of single-phase ground fault through fault simulation device, after collecting terminal response data, by master station according to the quantitative evaluation of differentiated scoring and multidimensional ranking rule realizes the quantitative evaluation of research and judgment capability.The application also constructs the test system containing six functional units, realizes the systematic and standardized test of distribution terminal single-phase ground fault research and judgment performance under highly realistic environment, solves the problems that traditional test and field working condition are disconnected, single in assessment dimension and lack of objectivity in evaluation, provides reliable basis for equipment selection, algorithm optimization and distribution network fault handling capability improvement.

The invention discloses a strain capacity testing device, and relates to the technical field of psychological testing, the strain capacity testing device comprises a display mechanism and a testing mechanism arranged at the top of the display mechanism and used for testing individuals, the back surface of the display mechanism is fixedly connected with an intelligent monitoring mechanism, and the intelligent monitoring mechanism comprises a mounting plate; a clamping groove is formed in one side of the mounting plate, and a group of rotating shafts are rotationally connected to the interior of the mounting plate; the intelligent monitoring mechanism is arranged, various sensors are used for capturing physiological and behavior signals of a testee, the response time and accuracy of cognitive response capacity and behavior strain capacity detected by the testing mechanism are matched, physiological indexes generated during strain are dynamically monitored, detection data are summarized, and the detection accuracy is improved. Visual data, infrared data and physiological data are integrated, a comprehensive evaluation model of psychological stress, aggressive tendency and the like is constructed, the test result is more authentic and objective, and the strain capacity and psychological changes of a testee are comprehensively reflected.

The invention discloses a cognitive ability test method and system, and the method comprises the steps: firstly setting a standard test board, generating a space test model, a memory test model, a space-time linkage test model and a comprehensive evaluation model, and then calculating a space positioning score through a test result of the space test model, calculating a memory evaluation score through a test result of the memory test model, and calculating a space-time linkage evaluation score through a test result of the space-time linkage test model; and finally, inputting the spatial positioning score, the memory evaluation score and the space-time linkage evaluation score into the comprehensive evaluation model, and outputting a cognitive ability evaluation result. Compared with the prior art, the cognitive competence of the patient is comprehensively investigated from multiple aspects of time, space, space-time linkage and the like through the test model, the adverse effect of single dimension on the evaluation result is avoided, and therefore the accuracy and comprehensiveness of the final test result are improved.

An electronic device according to one embodiment may include memory and a processor. The processor stores in the memory a learning manual comprising at least one of chalk color combinations, chalk usage angles, writing size, eye contact time between the instructor and the learner, eye contact frequency, counseling topics with the learner, counseling time, counseling frequency, a method for registering and managing the instructor's lectures online, a method for managing learners during semesters or vacation seasons, a method for managing lecture folders, a management method based on the learner's gender, a management method based on the learner's age, counseling topics regarding the learner's parents, a method for responding to parents, a subject, the instructor's voice tone, voice volume, the instructor's class speed, or the instructor's speech speed; provides a guide for corresponding elements in the learning manual based on user input; learns the instructor's lecture videos using an artificial intelligence learning model; quantifies the evaluation of the instructor's lecture for each component of the learning manual; evaluates the instructor's lecture based on the evaluation numerical value for the instructor; stores in the memory; creates a database indicating the instructor's lecture level based on lecture evaluation records for at least one instructor; updates the database whenever a new lecture video is learned using an artificial intelligence learning model; and the learning stored in the memory Evaluation scores for multiple instructors are calculated for each component of the manual, an average value is determined for the evaluation scores, a relative evaluation grade is assigned to the instructor based on the average value, grade information is stored together in the database, and the grade information can be displayed on the display based on user input in the database.

The invention discloses a method and a system for testing collaborative learning ability of intelligent mining equipment. According to the method, a composite mining task model containing environment uncertainty parameters is constructed in a simulation experiment environment, multi-mode demonstration data in the process that a human expert operator completes the task are collected, and simulation learning training is executed on a control model of intelligent mining equipment based on the demonstration data. And obtaining quantitative result data representing the equipment skill learning efficiency through an incremental'demonstration-learning-testing 'process. And on the basis, controlling the learned equipment model and the green operator to execute a man-machine collaborative test process based on structured interpretation data, and synchronously acquiring operation performance data, man-machine interaction event data, physiological state data and numerical man-machine interaction subjective feedback parameter data. And carrying out fusion processing and index calculation on the multi-source data to generate quantitative result data representing the collaborative teaching ability. And finally, integrating the skill learning efficiency result data and the collaborative teaching ability result data to form a multi-level and quantitative evaluation result of the man-machine collaborative learning ability of the intelligent mining equipment. According to the invention, systematic evaluation of learning efficiency, skill generalization ability and man-machine collaborative operation performance of intelligent mining equipment can be realized, and the method has strong repeatability, objectivity and versatility.

The invention relates to the technical field of natural language processing, in particular to a long text understanding ability testing method and platform based on context association. The method comprises the steps of obtaining a long text data set and labeling a logic relation, constructing a context correlation analysis model to extract entities and events, designing a dynamic test case to simulate a complex scene, inputting a model to be tested to obtain a comprehension result, quantitatively evaluating model performance and the like. According to the method, test cases are optimized through multi-modal information integration and adversarial training, the context understanding ability of the model in a complex environment is comprehensively evaluated, and a real-time feedback mechanism is provided for guiding optimization. According to the method, the problems of single test case, insufficient quantitative evaluation and insufficient multi-modal integration in the prior art can be effectively solved, and a scientific basis is provided for iterative optimization of a large model.

The present invention relates to a marking pen that integrates writing and stamping functions. This pen includes a standard writing nib at one end and a stamp-type marking part at the other end capable of quickly and accurately marking answer sheets for multiple-choice exams. The stamp-type marking unit is equipped with a stamp plate designed to a size suitable for the selected column and a built-in ink pad, and provides a sealed lid to prevent the ink from drying out when not in use. This invention enhances practicality in examination environments by shortening marking time in multiple-choice tests such as the College Scholastic Ability Test and the TOEIC Test, and increasing the ease of use of the tool.

The invention discloses a power transmission high-altitude operation capability evaluation and grading method and system. The grading method comprises the following steps: selecting a sampling person; performing a 6MWT test, a deep squat lifting test, a balance capability test and a simulation climbing test on the sampling personnel, grouping the sampling personnel according to each test result, and calculating a standardized vector of each group; according to each test result and the standardized vector of each group, the new testers are grouped; according to the grouping result, the new testers obtain scores respectively; and according to the multi-angle power transmission high-altitude operation capability evaluation grading model and each test score, calculating the high-altitude operation capability generation grade of the new testers. According to the method, a set of multi-angle power transmission high-place operation capability evaluation grading model is constructed, and post grading admission is realized. And a variable weight coefficient is introduced, so that the grading model can be set according to an evaluated target crowd, the access difference of operators in different regions is realized, and the accuracy is improved.

The utility model discloses a balance ability testing arrangement, including fixed base, the fixed base inner bottom fixed six degree of freedom motion platform and be used for driving six degree of freedom motion platform's servo driver, the top of fixed base is set up and is perforated, the top surface of fixed base places the motion bearing platform of covering perforation, the top of motion bearing platform is fixed and has a plurality of pressure sensor for monitoring the pressure sensing flat plate of pressure center change when the patient stands, the top of six degree of freedom motion platform is worn and is fixed with the bottom of motion bearing platform along the motion bearing platform a circle fixed surface of fixed base has the protection wall, the testing arrangement still includes the VR head appearance for showing the gaze target, and the VR head appearance is built -in and is used for monitoring the camera of patient's eye open -close eye change and is used for monitoring the attitude sensor of patient posture change, and VR head appearance, camera, attitude sensor, servo driver and pressure sensor all with host computer communication connection.

An object of a system according to an embodiment is to evaluate a conversation ability in multiple languages at low cost.SOLUTION: A system according to an embodiment includes a conversation unit, an evaluation unit, a multilingual handling unit, and a low cost providing unit. The conversation unit allows the subject to have a conversation with the generated AI for the presented theme. The evaluation unit evaluates the speed of the conversation performed by the conversation unit and the appropriateness of the response. The multilingual support provides conversational performance testing in all languages supported by the production AI. The low cost provider provides the language ability test at a lower cost than the conventional language ability test.SELECTED DRAWING: Figure 1

The present application relates to the technical field of cognitive ability training, in particular to an intelligent cognitive training method and system based on a portable BCI-AR. The intelligent cognitive training method based on the portable BCI-AR comprises the following steps: performing cognitive ability testing according to a preset cognitive scale to obtain a cognitive testing result; matching the cognitive testing result and a cognitive game library to obtain a cognitive testing game and a cognitive training game; performing cognitive training by using the cognitive training game; testing by using the cognitive testing game before and after training respectively, and collecting electroencephalogram signals to obtain testing electroencephalogram signals; evaluating the testing electroencephalogram signals by using a preset neural network to obtain a training evaluation result; and analyzing the training evaluation result and a preset classification evaluation index to obtain a cognitive training evaluation result. The present application is a portable, efficient and accurate intelligent cognitive ability training method.

The application relates to an English hierarchical reading teaching method and system based on artificial intelligence. The method comprises the following steps: acquiring reading ability test data of students, performing feature extraction based on the reading ability test data, and obtaining an initial comprehensive archive; performing adaptive reading recommendation based on the initial comprehensive archive and a reading feature knowledge base, and obtaining a dynamic recommended reading list; the dynamic recommended reading list is used for indicating student feedback of a student selection path; based on the student selection path, learning task instantiation is performed, and a learning task instance is obtained; the learning task instance is used for indicating students to learn, and learning behavior data flow is obtained; based on the learning behavior data flow, learning analysis is performed, learning analysis feedback data is obtained, the initial comprehensive archive is updated based on the learning analysis feedback data, and an updated comprehensive archive is obtained. The method can solve the problem of dynamic teaching adaptation and improve the teaching quality.