65 results about "Cognitive level" patented technology

The invention discloses a student modeling and personalized course recommendation method in an online learning system, and belongs to the education data mining field. According to the method, cognitive level modeling and personalized course recommendation of students are mainly studied, firstly, knowledge mastering states of the students are judged based on a cognitive diagnosis model, learning behaviors of the students are analyzed through data on a system platform, and then the cognitive abilities of the students are modeled by integrating course mastering conditions; secondly, an online course is modeled ; and finally, the features of the online course are fused according to the cognitive level of the student to perform personalized recommendation. According to the invention, personalized recommendation is carried out based on the cognitive level of students and in combination with the feature indexes of the online courses, so that the user can be helped to carry out more accurate personalized course recommendation, and the online course recommendation is more interpretable and acceptable.

An assessment system includes interim tests administered at predetermined intervals. Each assessment is designed to test specific concepts, and includes multiple-choice test items, each having an item stem, a correct answer, and several distractors. Preferably at least two of the distractors are directed to disparate cognitive levels. Any distractors selected are automatically correlated for each student, in order to determine a presence of a possible problem in a particular concept. Then an individual focus can be applied to correcting any problems. Any distractors selected by any of the students are automatically correlated for the teacher, to determine the presence of a possible problem for a number of students, for applying focus to improving the understanding of some or all of a class for any problem identified by the correlation. A benchmark assessment is also administered that has a format substantially identical to that of an upcoming high-stakes test.

An assessment system includes interim tests administered at predetermined intervals. Each assessment is designed to test specific concepts, and includes multiple-choice test items, each having an item stem, a correct answer, and several distractors. Preferably at least two of the distractors are directed to disparate cognitive levels. Any distractors selected are automatically correlated for each student, in order to determine a presence of a possible problem in a particular concept. Then an individual focus can be applied to correcting any problems. Any distractors selected by any of the students are automatically correlated for the teacher, to determine the presence of a possible problem for a number of students, for applying focus to improving the understanding of some or all of a class for any problem identified by the correlation. A benchmark assessment is also administered that has a format substantially identical to that of an upcoming high-stakes test.

An universal test system based on microcomputer for testing the nervous behaviour is composed of the irritation reaction multimedia subsystem and the cerebral current / cognitive level recording-analyzing subsystem, both of which are connected via serial communication parts. The former can make the video-audio irritation its ns precision, record the reaction of the person to be tested, and send outrelative event. The latter is composed of 5 functional modules (data acquisition, cerebroelectric wave classification, average superimpose, total average and multi-domain analysis) and digitalized cerebroelectric amplifier.

The invention discloses a multi-parameter mental stress assessment method based on an analytical hierarchy method and a device. The method obtains a parameter set of mental stress influential factors through analysis of a frequency domain, a time domain and non-linearity of HRV signals of a testee, and obtains mental stress assessment results of the testee by the analytical hierarchy method and a mental stress assessment model. The device collects electrocardiograph signals of the testee, analyzes and assesses the electrocardiograph signals by the multi-parameter mental stress assessment method based on the analytical hierarchy method, outputs an assessment report and transmits the assessment report outwards. The multi-parameter mental stress assessment method based on the analytical hierarchy method and the invention have the beneficial effect that (1) a mental stress state of the testee is monitored according to changes of HRV physiological parameters of the testee, so influences brought by subjective factors and different cognitive levels of the testees to monitoring results are effectively avoided; and (2) the daily mental stress state of the testee is effectively recorded and analyzed, and key data is stored to remind the testee of self-adjustment and taken for standby application of medical staffs.

The subjective nature of student development provides numerous variables that make it difficult for teachers to understand the root cause of the problem areas for each student. Understanding what elements of instruction are understood by student provides teacher a significant edge on how to design instructional tactics that will allow student to effectively ascertain the lesson material on a cognitive level, thereby developing a student's understanding on how to apply lesson concepts and improve retention of the material needed in achieving high proficiency scores.The Student-Centered Learning System provides teachers with an effective instructional tool to allow teachers to pinpoint a student's level of cognitive understanding. By using real-time data, teachers, parents, and students will have a clear understanding of where deficiencies and misunderstandings exist that will allow a teacher to have a clearer approach in how to proceed with their planning strategies.

The invention belongs to the technical field of education data mining, and discloses a multi-step hierarchical learner cognitive level mining method and system. The method includes: constructing a test question-knowledge cognition level matrix P by combining target classification and cognition psychology in the Bloom cognition field, constructing a learner ideal answer matrix by integrating the learner knowledge cognition level matrix and the test question-knowledge cognition level matrix, and mining a learner knowledge mastering candidate set by utilizing maximum likelihood estimation; and comprehensively judging the global expectation of the elements in the candidate set to obtain the final knowledge cognition level of the learner, and visually outputting the result by using a radar map.According to the invention, after the knowledge cognition level of the learner is mined, the mining result fed back to the learner by using the radar map is more intuitive and popular and easy to understand, and the learner is assisted to adjust the learning scheme in time; the hidden parameters of the test questions mined by the model can evaluate the quality of the test questions forming the test, and the test accuracy and credibility are improved.

A method and system for providing evolving, highly variable, long-term on-going cognitive stimulation over a broad spectrum of cognitive domains. The user is presented with a series of entertaining audio / visual activities customized for the user, based on the user's life experience and cognitive level, each activity providing stimulation in one or more cognitive domains. The activities themselves and their level of challenge may change, in real time, over both the short- and the long term, varying in relation to current and historical user response patterns, creating an experience that remains engaging, with on-going use, over a period of months or years.

The invention discloses a multi-parameter mental stress evaluation method based on a BP neural network algorithm. The method comprises the steps that an HRV signal of a person to be tested is subjected to frequency domain, time domain and nonlinear analysis to obtain mental stress influence factor parameter set, according to the parameter set, the BP learning algorithm is adopted, an error function is adopted for learning according to a gradient descent method, the mean square error between an actual output value and an expected output value of a network is made to be the minimum, and an accurate mental stress evaluation result of the person to be tested is obtained. By adopting changes of HRV physiological parameters of the person to be tested, the mental stress state of the person to be tested is monitored, and the influence caused by different subjective factors and cognitive levels of the person to be tested on the monitoring result is effectively avoided; the mental stress evaluation accuracy and reasonability of the person to be tested are effectively improved.

The invention discloses a managed pressure drilling method for geological conditions of a narrow safe density window. The method comprises the following steps: determining down-hole conditions according to the outlet flow Qout and the inlet flow Qin of drilling fluid; in case that the down-hole conditions are under-balanced, performing under-balanced managed pressure drilling, or in case that the down-hole conditions are over-balanced, performing over-balanced managed pressure drilling. According to the managed pressure drilling method for the geological conditions of the narrow safe density window, the complicated problems such as overflow or loss easily caused to a stratum with the narrow safe density window (a zero safe density window for instance) can be solved, the target depth can be effectively drilled, and the cognitive level of reservoir geology and the safety of the whole drilling process are improved.

The invention relates to a bionic intelligent control method. In order to solve the problems that the intelligence level capable of being met by a traditional robot control method is limited, a robot cannot independently adapt to an unknown environment, has difficulty in acquiring the capacity for completing complex tasks from simple experience and cannot complete tasks through self-learning, a biological sensorimotor nervous system is simulated from the bionic perspective, and the operant conditioning mechanism is fused into the design of the sensorimotor system. Biological motion neurocognition is reproduced by copying the sensorimotor system, simulation the biological cognitive mechanism is facilitated, and thus the cognitive level of the robot is improved; the operant conditioning function is added, and thus the feedback closed loop relation of interaction between perception and motion in the sensorimotor system is explained, the system is made to show biologically similar self-learning behaviors, and the intelligence level of the robot is improved.

The invention relates to a method for executing functional adaptation training based on computer software, wherein the method comprises the following steps: responding, by a system, a log-in request of a user, and displaying a main interface for executing the functional adaptation training; reading, by the system, training program selection information and difficulty level selection information input by the user; displaying, by the system, a corresponding training program interface based on the training program selection information and the difficulty level selection information; querying, by the system, to find a voice message corresponding to the training program interface, and playing the voice message; counting, by the system, target selection information of the user. By employing the provided method for executing functional adaptation training based on computer software, adjustment can be done aiming at the different cognitive level of each individual, without being limited to time and location; the method has a better compliance; the operation is simple; the implementation is easy; the statistics and maintenance are convenient; and the method has a wider application range.

The invention provides an intelligent identification method of colposcope images. The method is characterized by comprising the steps that the colposcope images are collected, and suspected lesion areas are selected from the colposcope images; image features of the suspected lesion areas are extracted; multiple standard colposcope images similar to the image features of the suspected lesion areas are searched in a standard colposcope image library; meanwhile, a confirmed lesion type and lesion area of each colposcope image are identified; the selected images of the suspected lesion areas and images of standard colposcope image confirmed lesion areas are displayed in a compared mode in a same screen. According to an intelligent identification of the colposcope images, feature extraction is conducted by only selecting the images of the suspected lesion areas, and image identification is more targeted and higher in speed. Comparison with the standard colposcope images in the same screen is conducted by means of a computer aided diagnosis technology, and the conformance of diagnoses of different doctors on the same image can be effectively improved; an intelligent identification device can also serve as a colposcope learning and training tool to assist in improving an overall cognitive level of the colposcope images in medical profession.

The invention belongs to the technical field of intelligent education, and discloses a personalized test paper composition method and system fusing cognitive characteristics and test question text information, and the method comprises the following steps: firstly predicting the score of a learner on a specific test question based on the cognitive level through a cognitive diagnosis model; predicting scores of the learners on the specific test questions based on text information by using a recurrent neural network model; constructing a probability matrix decomposition target function on the basis of the obtained learner based on the cognitive level and the prediction score of the text information, and predicting the potential score of the learner on the specific test question; and finally,calculating KL divergence by utilizing the estimated learner knowledge mastering vector and the learner incremental knowledge mastering vector, and selecting test questions with increased learner knowledge mastering trend and proper difficulty to form personalized test paper in combination with the potential score of the learner on the test questions. According to the invention, the test paper forming result can be customized according to the test target and the test question difficulty, and the autonomous learning efficiency of learners is greatly improved.

The invention discloses a personalized test question recommendation method based on a knowledge graph, and the method specifically comprises the steps: constructing the knowledge graph, crawling test questions in a corresponding field in a network as a test question bank, carrying out the manual analysis of knowledge points inspected by the test questions in the test question bank, enabling the test questions to correspond to the knowledge graph, and enabling the examination knowledge points to correspond to the test questions; mapping a personalized knowledge sub-graph of each learner according to the learning target and the knowledge graph of the learner; obtaining the current cognitive level of the knowledge points of the learner; calculating the intimacy of the knowledge points; and realizing personalized test question recommendation based on the cognitive level of the learner on the target knowledge point and the intimacy of the knowledge point. According to the personalized test question recommendation method based on the knowledge graph, the problem that the relationship between knowledge points corresponding to recommended test questions cannot be considered in the prior art is solved.

The invention discloses an adaptive learning path recommendation method based on a knowledge graph. The adaptive learning path recommendation method is specifically implemented according to the following steps: step 1, constructing the knowledge graph of a corresponding field; step 2, establishing a learner model, wherein the learner model comprises basic information, cognitive level, learning style and learning ability of a learner; 3, performing system expansion on the knowledge graph established in the step 1, and adding node centrality and probability distribution; and step 4, positioning in the expanded knowledge graph according to the cognitive level of the learner in the learner model, and recommending corresponding knowledge points to the learner. According to the adaptive learning path recommendation method based on the knowledge graph, the learning ability of the learner is quantified, and the learning path can be recommended to the learner in combination with the cognitive level of the learner.

The invention belongs to the field of ergonomics, and discloses a self-adaptive human-computer interface configuration method, which comprises the following steps of acquiring cognitive load of a userin a human-computer interaction process based on electroencephalogram signals; obtaining the cognitive level of the user in the human-computer interaction process based on the eye movement characteristics, obtaining the cognitive state of the user in the human-computer interaction process based on the eye movement characteristics, obtaining the operation intention of the user in the human-computer interaction process based on the eye movement characteristics, and obtaining the interaction time sequence of the user in the human-computer interaction process; configuring a human-computer interface for a user in a self-adaptive manner based on the rough set theory, so that the human-computer interface can be dynamically adjusted.

The invention provides a dialogue question generation method and system considering emotion and theme and a storage medium, and relates to the field of dialogue question generation. According to the embodiment of the invention, the method comprises the steps: firstly segmenting an article P into N paragraph blocks Pc, inputting the paragraph blocks Pc and a dialogue historical record Hi into a pre-trained problem focus prediction model, and determining a problem focus paragraph block Fi; and then predicting emotion keywords and theme keywords in the question focus paragraph block Fi, and finally generating a dialogue question q according to the emotion keywords and the theme keywords. According to the embodiment of the invention, the emotion and theme of the article P are brought into thelink of dialogue question generation, so that compared with the existing dialogue question generation model which only considers the dialogue history record, the consistency of dialogue question generation is further improved, and the cognitive level of the generated question is not limited to a shallow level any more; and the beneficial effect of generating the problem with more logicality and deep significance is achieved.

A system and method for cognitive and sensory stimulation, which facilitates the personalised and coordinated stimulation of users at a sensory and cognitive level, in order to prevent any type of dementia or pathology, or any type of dementia developed with normal or pathological ageing, said system comprising a processing unit in data communication with display means, at least one user interface and sensory stimulation means, the processing unit being configured to store and manage a plurality of operating sequences from the sensory stimulation means based on a number of signals received from the user interface and cognitive and / or sensory interaction with a user, in which the sensory stimulation means are configured to stimulate at least one visual, tactile, olfactory or sound field, or a combination thereof, of the user.

The invention discloses an electronic switching unit without energy consumption for a standby power supply of a model airplane receiver. Along with the constant development and popularization of model airplane activities, amateurs who are high on large-level model airplanes become more and more, but a lot of amateurs are only equipped with the cognitive level on that airborne equipment of small-class model airplanes consumes power and usually ignore or forget the state of charge of the battery of the model airplane receiver during outfield flight, so that non-maneuvering accidents caused by the power shortage of the receiver usually occur. According to the power consumption characteristics of the model airplane receiver and a steering engine as well as the technical requirements for a battery pack, the invention solves the problem that when the model airplane receiver is short of power in the air, the standby power supply can be quickly and directly switched to for the emergency power supply of the receiver, and can effectively control airplane crash accidents caused by the power shortage of the battery pack of the model airplane receiver. The electronic switching unit is formed by that a design idea of computer online emergency power supply, which is quick in response, is borrowed, a micro-power consumption voltage detector is used as a core, a P-channel high-power field effect transistor is used as a switching actuating element for a main power supply and the standby power supply, a few discrete electronic elements are used as supplement elements, and a circuit not only has simple and direct and reliable structure, but also has no need of debugging.

The invention provides a traditional Chinese medicine composition for promoting sputum excretion. The composition is formed by utilizing ginkgo leaf tablets as the main component and matching fig, Chinese yam, eleusine indica, moleplant seed, mulberry, camellia, phoenix-tail fern, honeysuckle and cucumber. Despite the above components do not have direct promotion effects on sputum excretion based on the existing medical cognitive level, the fact that the traditional Chinese medicine composition obtained by conducting integration and optimized design on the components according to usage can effectively prompt sputum excretion of a patient is found accidentally by experiments. The composition is high in effect and free of side effects. Based on the found fact, an applicant acquires the traditional Chinese medicine composition. The composition achieves prominent technical effects by means of ingenious material selection and reasonable dosage, meanwhile is low in cost and easy to achieve, and has prominent popularization prospects.

A device for providing assistance to a person comprises a data input for obtaining person related data representing data obtained by monitoring the person, a data processing unit for processing the obtained person related data to determine the person's mental state and / or cognitive level from the obtained person related data, to detect if the person has limited or no ability to perform a desired task and to generate assistance data in case of detection that the person has limited or no ability to perform the desired task and / or if the person's current mental state and / or cognitive level is below a threshold or out of a distribution or value range required to perform the desired task, said assistance data representing data directed to supporting the person in performing the desired task by adapting the number of functions of an appliance accessible and controllable by the person according to the person's current mental state and / or cognitive level, and a data output for providing said assistance data for supporting the person in performing the desired task.

The invention discloses a system and method aimed at realizing preconcept capture and analysis in effective teaching. The system at least comprises a teaching terminal and a plurality of learning terminals. The teaching terminal at least comprises an issuing module, a receiving module and an analyzing and classifying module, wherein the issuing module is used for providing a platform which enables a teacher to conveniently issue a pre-learning cognitive question, the receiving module is used for receiving feedback results about the pre-learning cognitive question of the multiple learning terminals, and the analyzing and classifying module is used for analyzing and classifying the feedback results. Each learning terminal at least comprises an acquisition module and a feedback module, wherein the acquisition module is used for acquiring the pre-learning cognitive question from the platform, and the feedback module is used for providing the corresponding feedback result about the pre-learning cognitive question. By means of the system and method aimed at realizing preconcept capture and analysis in effective teaching, the teacher can know the existing cognitive levels of students about new knowledge to be learned by the students in advance and teach according to the cognitive levels of different students, so that both teaching efficiency and learning efficiency are improved.

The invention relates to the technical field of minority culture, aims to provide a logo identification method based on minority images which can help ordinary people to recognize minority culture quickly and conveniently, and has excellent accuracy. The technical scheme adopted by the invention comprises A establishing a database; B obtaining images of minority; C pre-processing the minority image; D dividing the architectural pattern; E extracting architectural features of minority; F coding; G identifying. The invention realizes the rapid automatic identification of the minority buildings,can improve the cognitive level of the people to the minority culture, and is convenient to use.

The invention relates to the technical field of VR training, and discloses a cognitive training method based on VR equipment, which comprises the following steps: evaluating an original index evaluation score according to scene training feedback; judging whether the original index evaluation score meets a cognitive evaluation standard or not; if yes, training is stopped; if not, adjusting the original cognitive training item according to the original index evaluation score to obtain an iterative cognitive training item; evaluating a cognitive level by using an iterative cognitive training project to obtain an iterative index evaluation score; judging whether the evaluation score of the iteration index meets a cognitive evaluation standard or not; if yes, training is stopped; if not, the iterative cognitive training item is adjusted according to the iterative index evaluation score until the cognitive evaluation standard is met, and training is stopped. The invention further provides a cognitive training device based on the VR equipment, electronic equipment and a computer readable storage medium. According to the invention, the problems of weak pertinence and low efficiency of cognitive training in a cognitive training mode can be solved.

The invention relates to a real-time learning data analysis system based on SaaS. The system comprises a ranking calculation module, an assignment analysis module, a knowledge point analysis module, aquestion grade analysis module and an evaluation module; the ranking calculation module is used for ranking assignment scores of all students of a class and matching the ranking situations of all thestudents with information of the students to obtain the assignment completion situations of the students; the assignment analysis module is used for analyzing assignments of all the students; the knowledge point analysis module is used for classifying knowledge points and obtaining the distribution of all the knowledge points in all questions of the assignments; the question grade analysis moduleis used for grading the questions and classifying all the questions in the assignments to the corresponding grades; the evaluation module is used for evaluating the learning situations of the students of the class from three aspects including cognitive levels, knowledge types and difficulty levels according to the assignment completion situations of the students. By means of the system, a teaching strategy can be adjusted in real time according to the current actual situations of the students.

The invention discloses a translation method and device, equipment and a storage medium, and the method comprises the steps: obtaining a source language text, voice information of the source language text and structural information of each text subunit in the source language text at the same time, and respectively carrying out the feature extraction of the source language text, the voice information and the structural information; and obtaining text features corresponding to the source language text, voice features corresponding to the voice information and structural features corresponding to the source language text, and then performing translating based on the three features to obtain a translated target language text. Therefore, in the translation process, the text, the pronunciation and the structure serve as different cognitive levels of the text of the same source language to be comprehensively considered, translation is conducted based on the three characteristics, full utilization of resource information is achieved, and meanwhile, due to the fact that information referred during translation is richer, the robustness of the translation process can be improved, and the quality of translation results can be improved.

The invention discloses a method and a device for assigning difficulty value of knowledge points suitable for a learning management system. The method comprises: receiving an evaluation request sent by a user; Generating a test set according to the evaluation request; receiving the answer information generated by the question information of each test question in the test question set, and generating a second corresponding relationship between the answer information and the test question; comparing the answer information of each test question with the correct answer information one by one according to the first correspondence relation and the second correspondence relation, and determining the correct answer information in all the answer information; determining a first test question corresponding to each correct answer information; determining level information corresponding to each first test item; according to the level information of all the first test questions and the set of testquestions, the evaluation results of the users are obtained. It achieves the purpose of semantic diagnosis of learning style and cognitive level, dynamic presentation of learning resources and teaching strategies according to the user model, resource sharing, reuse and personalized recommendation.

The invention provides a chemical experiment demonstration platform. A camera and a collection integrator are fixed to a bottom plate. The camera and the collection integrator are fixed to the position opposite to a test tube. The chemical experiment demonstration platform has the advantages that through demonstration of the platform, the camera and a collector are connected to a computer, so that students can see the experiment frames clearly and completely; the experiment process and critical processes can be represented, and the cognitive level of the learned knowledge is improved; double-color background paper of half black and half white is pasted to a background board on the demonstration platform, forward arrangement or reverse arrangement can be selected according to the color of the tested matter, and the test tube is fixed to the background board to emphasize the experiment effect; a physiochemical board is adopted for a base of the experiment platform, and acid-base resistance and corrosion prevention can be achieved.