18 results about "Student training" patented technology

The invention discloses a big data and artificial intelligence teaching practical training platform based on a computer, and relates to the field of practical training teaching, and the platform comprises a teaching unit which is used for teaching students; a teaching interaction unit which is connected with the teaching unit, can provide an experiment scene for students through the teaching interaction unit, and is used for consolidating the learning content of the teaching unit; the data processing unit is connected with the teaching interaction unit and is used for recording the practical training data of the students and analyzing the recorded data; according to the big data and artificial intelligence teaching training platform based on the computer, learning tasks completed by students can be evaluated, the knowledge mastering and applying degree of the students can be known, and meanwhile, according to the performance, including the cooperation ability, the contribution degree, the communication skill and the like, of the students in group cooperation, the knowledge mastering and applying degree of the students can be known. And evaluation and subsequent learning progress are given.

The invention relates to the technical field of intelligent teaching, and provides an engineering integrated intelligent teaching system for rail transit intelligent operation and maintenance. In the system, a teaching data center module aggregates and processes teaching data; the teaching twinborn body module constructs a three-layer twinborn model and generates a multi-dimensional teaching task; the engineering and learning integrated teaching engine module automatically arranges an optimal teaching activity sequence through reinforcement learning according to student ability portraits and teaching tasks; the element universe scene construction module constructs an immersive simulation training scene according to the sequence; the ability evolution evaluation module analyzes trainee training data and generates an ability increment graph; and the teaching feedback optimization module feeds back the atlas to the task generator to drive a new round of teaching. According to the invention, teaching dynamic generation, intelligent arrangement, accurate evaluation and closed-loop optimization in the field of rail transit intelligent operation and maintenance are realized, and the problems of insufficient intelligence, mismatching of teaching strategies, mismatching of engineering and single teaching quality evaluation in rail transit teaching are solved.

The invention relates to the technical field of intelligent training and data analysis, in particular to an intelligent model construction method and system for student training data analysis. Comprising the following steps: constructing an SOP time sequence knowledge graph, obtaining a standard operation specification document and expert-level operation demonstration data, and constructing the SOP time sequence knowledge graph; real-time feature extraction: capturing a multi-modal data stream, and generating a real-time behavior feature vector; state recognition and path deduction: inputting the real-time behavior characteristics into an event classifier to recognize a key event, performing path deduction based on deterministic finite state automaton logic in an SOP time sequence knowledge graph, and determining and outputting a current state pointer; deviation analysis and judgment: extracting a compliance mask based on a current state, and injecting the compliance mask into a decoding process of the attention network; and performing feedback and adjustment to generate a corresponding deviation event signal. Through deep analysis, feedback is more targeted, and the accuracy and fineness of training evaluation are remarkably improved.

Method for training a student network of a teacher-student training architecture for point cloud registration for mapping an environment for navigating a technical system, wherein the teacher-student training architecture comprises a teacher network (200) and the student network (202).

The utility model relates to the technical field of medical puncture training, in particular to puncture training equipment based on a delta parallel mechanism, which comprises a base and a base, and a support is arranged on the front side of the base. Comprising a delta parallel mechanism, the delta parallel mechanism is provided with a driving end and a polymerization end, and a puncture needle is connected to the polymerization end in a penetrating mode; the device further comprises a torque generating mechanism, the torque generating mechanism comprises a motor, a semicircular force arm and a wire, the wire is connected between the output end of the motor and the semicircular force arm, and power is transmitted through wire driving. The motor is assembled on the support, the semicircular force arm is hinged to the support, and the driving end of the delta parallel mechanism is hinged to the semicircular force arm. Force feedback can be accurately simulated in the puncture training process, a more real puncture training effect is provided, high application precision is kept in the repeated use process, and the device is suitable for medical student training and has an extremely good market popularization prospect.

The invention relates to the technical field of aviation safety and police service practical training evaluation, and discloses an air police new quality combat capacity civil aviation safety practical training evaluation method. A demand information acquisition module, a course supervision module, a teacher team module, a basic ability analysis module, an actual combat simulation ability analysis module, a comprehensive ability evaluation module, a feedback optimization module and a result solidification module are arranged in the model, and the demand information acquisition module performs multi-dimensional information acquisition; the course supervision module performs course quality and suitability supervision; the teacher team module executes selection of teacher teams and continuous ability improvement; the basic capability analysis module executes student basic quality evaluation; the actual combat simulation capability analysis module executes refined evaluation of scenario actual combat performance; the comprehensive ability evaluation module executes the end evaluation of the practical training effect of the trainee; the feedback optimization module outputs targeted optimization suggestions; and the achievement solidification module establishes a normalized graduate tracking return visit mechanism.

The invention discloses a teaching evaluation method and system based on multi-modal data fusion, and a storage medium, and the method comprises the following steps: obtaining multi-modal data of students, the multi-modal data comprising texts, images, voices and behavior data generated in the learning process of the students; fusing the multi-modal data to form a unified representation; carrying out deep learning analysis on the fused multi-modal data, and carrying out deep modeling on the multi-modal data; analyzing the modeled multi-modal data to generate a student training scheme; and sending the student training scheme to the teacher and student ports. According to the invention, through multi-modal data acquisition, intelligent preprocessing, fusion, deep learning analysis, intelligent evaluation and analysis, dynamic recheck and teaching data feedback, in combination with data acquisition, processing, storage and transmission modules and an output interface, efficient processing and application of teaching data are realized, and the teaching system is optimized.

This invention relates to the field of intelligent teaching technology and provides an integrated engineering-learning intelligent teaching system for intelligent operation and maintenance of rail transit. In this system, a teaching data platform module aggregates and processes teaching data; a teaching twin module constructs a three-layer twin model and generates multi-dimensional teaching tasks; an integrated engineering-learning teaching engine module automatically arranges the optimal sequence of teaching activities based on student competency profiles and teaching tasks through reinforcement learning; a metaverse scene construction module constructs immersive simulation training scenarios based on this sequence; a competency evolution assessment module analyzes student training data and generates a competency increment map; and a teaching feedback optimization module feeds this map back to the task generator to drive a new round of teaching. This invention achieves dynamic generation, intelligent arrangement, precise assessment, and closed-loop optimization of teaching in the field of intelligent operation and maintenance of rail transit, solving problems such as insufficient intelligence, mismatched teaching strategies, mismatch between engineering and learning, and a single method of evaluating teaching quality in rail transit teaching.

This invention discloses a frequency-based deep reinforcement learning-based motion control method for quadruped robots, belonging to the field of robot control. It includes: Step 1, using a model-based reference trajectory generator to generate kinematically and dynamically continuous reference trajectories online according to different task objectives, guiding the trajectory tracking strategy exploration of a model-free trajectory tracker; Step 2, using discrete Fourier transform to project environmental and ontology perception information from the time domain to the frequency domain, extracting key frequency features from multimodal frequency domain perception information, adjusting the motion characteristics of the reference trajectory, and improving the control bandwidth of the model-free trajectory tracker; Step 3, training the model-free trajectory tracker using a constrained synchronous teacher-student reinforcement learning framework, applying various physical constraints during training, and conducting synchronous teacher-student training; Step 4, using the trained model-free trajectory tracker to control the quadruped robot's motion. This method is applicable to different robots and tasks, exhibiting good robustness and versatility.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using a large language model (LLM) to generate a specificity labeled query-to-document scored teacher training set for training a teacher model. The teacher model, in turn, in sued to generate a specificity labeled query-to-document scored student training set for training a student model. The student model is ensemble trained, using the student model specificity training set and at least one other student model training set does not quantify the query-to-landing page specificity drift, to predict a performance of a query for a landing page.

This invention relates to the field of flight training assessment technology, specifically a method and system for assessing flight training saturation time. The method first constructs a standard library of flight maneuvers based on flight data from excellent instructors. After collecting and preprocessing student training flight data, it uses an improved Dynamic Time Warping (MDTW) algorithm to calculate the similarity score between the student's maneuvers and the standard maneuvers. Then, it determines the saturation state of individual maneuvers based on the score trends. When all maneuvers are saturated, it calculates the training saturation time for each student. Finally, it estimates the training saturation time range for the current aircraft type using a t-distribution interval. This invention enables precise matching between student capability development and training cycles, breaking through the experience-based extensive training model, optimizing training resource allocation, and effectively improving the overall efficiency of student training.

The utility model belongs to the technical field of physical training devices, and particularly relates to a physical training device for sports training, which comprises a mounting frame, a U-shaped part is fixedly mounted on the mounting frame, a connecting part is vertically and rotatably connected in the U-shaped part, a connecting rod is horizontally and rotatably connected in the connecting part, and the connecting rod is fixedly connected with the mounting frame. One end of the connecting rod is fixedly connected with a Y-shaped support, the two side walls of the Y-shaped support are fixedly connected with handles, and the connecting rod is of a hollow structure. Through flexible connection of the U-shaped piece, the connecting piece and the connecting rod, training actions are rich and diversified, upper limbs, lower limbs and core muscle groups can be exercised at the same time, the supporting rod is matched with the balancing weight, the training intensity, the inclined connecting rod and the pedals can be adjusted according to needs, ergonomics is met, and the training comfort is improved; the connecting rod is limited by anti-skid grains on the pedal and the front end of the mounting frame, so that the training safety is guaranteed, and the problems of single function and the like of a traditional training instrument are effectively solved.

The invention relates to a method and apparatus for training a student network of a teacher-student training architecture. A method for training a student network of a teacher-student training architecture having a teacher network (200) and a student network (202) for point cloud registration to map an environment for navigating a technical system.

The invention relates to the technical field of medical education management, and discloses a medical education management system and method based on artificial intelligence, and the system comprises a large model cooperation module which accesses a general large model and a vertical medical special disease large model; the intelligent accompanying learning module is used for generating customized learning content through the learning behavior data of the user; the virtual clinical training module is used for constructing a clinical scene simulation environment and receiving clinical operation evaluation data generated when the user executes the customized learning content in the clinical scene simulation environment; the personalized intervention module is used for dynamically generating a remedial training scheme according to customized learning content and clinical operation evaluation data; and the closed-loop optimization module continuously optimizes model parameters according to remedial training evaluation data, clinical operation evaluation data and customized learning contents generated when the user executes the remedial training scheme. According to the technical scheme, medical education can be promoted to be converted into intelligent driving, the medical student training quality is improved, and the requirement of medical education for keeping pace with times is met.

A method (400) for distilling one or more trained teacher automatic speech recognition (ASR) models (210) into a multilingual student model (200), the method (400) comprising receiving a plurality of teacher training examples (152) and a plurality of student training examples (154). The method also comprises training one or more teacher ASR models using the plurality of teacher training examples. Each teacher ASR model is configured to output a respective text representation of a respective audio input. The method further comprises training a multilingual student ASR model using the plurality of student training examples to generate a multilingual student ASR model (222), and distilling the trained one or more teacher ASR models to the multilingual student ASR model using an adjustable distillation loss weight. The student ASR model is configured to receive an audio input (14) and output a corresponding text representation (142) of the received audio input.

The utility model relates to the technical field of automobile maintenance skill training, in particular to new energy automobile maintenance skill training equipment which comprises a movable base and a mounting mechanism. A training table is mounted at the top end of the movable base, and the training table is composed of a storage box and a plurality of groups of maintenance seats adjustably arranged in the storage box; and the mounting mechanism is arranged in the maintenance seat and is composed of an adjusting assembly, two groups of mounting tables adjustably arranged on the adjusting assembly and a quick mounting assembly. Through the arrangement of the lifting mechanism, each group of maintenance seats can be conveniently adjusted in a targeted manner, students with different heights can be conveniently adapted to use, training devices with different sizes can be conveniently mounted, the use comfort is improved, and training of the students is facilitated; and through the arrangement of the mounting mechanism, new energy vehicle maintenance skill training devices of different models or sizes can be quickly and stably mounted on the maintenance seat, so that trainees can conveniently carry out training, and the training efficiency is improved.

The invention relates to the technical field of medical education and training, in particular to a teaching integrated management method and system in the medical field, and the method comprises the steps: creating a user identity file through an identity authentication module, and associating a data dictionary of each department based on the user identity file; the rotation management module determines identity information of each student based on each user identity file, and generates a rotation plan based on the identity information of each student and the data dictionary of each department; the teaching assessment module assesses the rotation period of each student in each department based on a rotation plan, generates a student evaluation result, carries out teaching management on the students from different sources through a unified system, and formulates corresponding rotation plans for different types of students, thereby reducing the workload of each department of a hospital, and improving the teaching efficiency. The student teaching management efficiency is improved, and the technical problem that in the training process in the medical field in the prior art, student training management is disordered, and the workload of all departments of a hospital is greatly increased is solved.

The invention relates to the technical field of source network load storage practical training teaching, and particularly discloses a source network load storage practical training teaching system and method based on an industrial internet platform. The source network load storage practical training teaching system is constructed based on a campus micro-grid, an industrial internet platform and a teaching practical training room, and is provided with an edge layer integrating a photovoltaic power generation system, an energy storage system, a micro-grid system and a multi-element electrical load end, and a platform layer deploying an industrial internet of things platform, an industrial data platform, an industrial intelligent platform and an industrial application development platform. And the application layer integrates a teacher teaching end and a student practical training end. The system is based on real campus micro-grid construction, is highly consistent with a real power industrial scene, can achieve the integration of the Internet of Things collection and instruction issuing, data integration and development, model training and reasoning, application development and teaching display of the system in the practical training teaching, forms a closed-loop practical training environment, and improves the practical training efficiency. And the teaching quality and the comprehensive ability of students are improved.