16 results about "Management training" patented technology

A game-based security and risk management training methodology and system are described. The system outputs a game-based security learning program to a client device, the game-based security learning program comprising a first set of one or more adaptive learning modules. The system monitors one or more indications of user input of a user of the client device within at least one of the first set of one or more adaptive learning modules of the game-based security learning program. The system develops a personalized game-based security learning program for the user based on the one or more indications of user input of the user, the personalized game-based security learning program comprising a second set of one or more adaptive learning modules different than the first set of one or more adaptive learning modules. The system outputs the personalized game-based security learning program to the client device.

A method for managing training workload placement based on completion time minimization includes performing an initial workload placement of the training workload to assign the training workload to a first production environment of the plurality of production environments, after performing the initial workload placement, monitoring: execution of the training workload on the first production environment, and performance of computing resource in the plurality of production environments to obtain telemetry data associated with the execution and the performance, performing a completion time analysis using the telemetry data to generate a placement recommendation, making a determination that the placement recommendation specifies a second production environment of the plurality of production environments, and based on the determination, initiating deployment of the training workload to the second production environment.

This utility model discloses a decompression device for emotion management training, relating to the field of mental stress assistance technology. It includes a grip plate with four vertically equidistant clearance holes on one side. A semi-pressure ring is located inside each clearance hole, and a connecting rod is fixed to the outer arc surface of the semi-pressure ring. A limiting groove is provided on the side of the grip plate near the connecting rod, and a reset structure is located inside the limiting groove. An adjustment structure is provided between the grip plate and the reset structure to adjust the position of the reset structure. Through the adjustment structure, this utility model allows users to flexibly adjust the position of the second magnetic block according to their grip strength, making it more flexible and meeting the needs of users with different grip strengths. Regardless of the user's grip strength, the pressing distance of the user's fingers is maximized, ensuring a comfortable pressing experience and achieving an effective decompression effect.

The embodiment of the invention provides a model training method and device, equipment and a storage medium. The method comprises the following steps: acquiring a group of parallel configuration parameters by utilizing a state component of a model training framework to determine distributed information; using a parallelization component of the model training framework to construct a parallel plan corresponding to the to-be-trained model based on the distributed information, and generating a parallelization version of the model based on the parallel plan; and utilizing a training component of the model training framework to process the training data based on the parallelized version so as to adjust different parameters of the model in parallel. On the basis of the mode, distributed training can be carried out on the basis of the parallelized version of the model, decoupling can be achieved through all the components in the model training framework, model training is carried out on the basis of the components, developers do not need to deeply understand underlying parallel computing details, and the development efficiency is improved. The training setting and management process is simplified, and the training efficiency is improved.

The invention relates to the technical field of track and field training management, and discloses a big data-based track and field training management system, which comprises a training acquisition module and an intelligent management module. According to the system, management data of all athletes, management data of a training field and environment sensing data are acquired through a training acquisition module and are classified to form a data set, and an intelligent management module accurately quantifies individual competitive ability and generates ability indexes for speed-strength type, speed-endurance type and endurance type athletes of different items; data support is provided for personalized training, multi-dimensional evaluation accuracy is high, an intelligent management module evaluates the degree of influence of site conditions on athletic performance of athletes, generates influence indexes, avoids poor training effect or sports injury caused by site problems, evaluates the degree of influence of environmental factors on athletic performance of athletes, generates environmental scores, and improves training efficiency. And then corresponding track and field training management suggestions are output, various safety risks caused by adverse environments are avoided, and the targeted management training effect is good.

A game-based security and risk management training methodology and system are described. The system outputs a game-based security learning program to a client device, the game-based security learning program comprising a first set of one or more adaptive learning modules. The system monitors one or more indications of user input of a user of the client device within at least one of the first set of one or more adaptive learning modules of the game-based security learning program. The system develops a personalized game-based security learning program for the user based on the one or more indications of user input of the user, the personalized game-based security learning program comprising a second set of one or more adaptive learning modules different than the first set of one or more adaptive learning modules. The system outputs the personalized game-based security learning program to the client device.

1. The name of the design product: financial management training platform. 2. The use of the design product: for financial management teaching and training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The invention relates to the technical field of education, and particularly discloses a time management planning method based on time efficiency maximization, which comprises the steps of arranging timing tools and methods; filling in a time log, and making a work and rest time table; comparing with a work and rest time table; listing a list of events to be completed in the next day, classifying the events, and arranging time in blocks; performing four-quadrant method sorting, sorting events and tasks according to a four-quadrant time management method, and dividing the events and tasks into important emergency, important non-emergency, emergency non-important and unimportant non-emergency classes; performing time arrangement and labor division on the team; making a long-time period time management table; making a career planning table; and carrying out processes and achievements of conclusion, review, tracking and reflection time management training. According to the training of the invention, children can not only improve the time management ability in a short period of time, but also form a good time management habit in a long period of time, thereby generating far-reaching influences on the aspects of improving the learning efficiency, improving the life quality, enhancing the confidence and responsibility and the like.

The invention relates to the technical field of personnel management training, in particular to a distributed energy fault perception training method and system.The distributed energy fault perception training system comprises a perception training system, a user side, an energy equipment simulation scene side and a training ranking module, and the perception training system comprises a perception training course module, a training examination module and a training examination scoring module; and the perceptual training course module is used for formulating course contents of perceptual training, matching and grading training contents of trainees, and recording training points at the same time. According to the distributed energy fault perception training method and system, an online learning mode is set, so that a worker participating in distributed energy fault maintenance can conveniently perform efficient and complete systematic perception training at a user side of the worker, and learning of a new technology and consolidation of old knowledge are performed by using idle working time; and the fault sensing capability and the fault removal capability of workers can be improved, so that the professional ability of the workers can be continuously improved.

The invention provides an aircraft thermal management model construction method and system, computer equipment and a medium, and belongs to the field of aviation thermal management, and the method comprises the steps: determining power system and thermal management system components and energy flow paths thereof; constructing a zero-dimensional equivalent thermal circuit model according to the power system and thermal management system components and the energy flow paths thereof; performing three-dimensional thermodynamic calculation according to the power system and thermal management system components and the energy flow paths thereof to obtain thermophysical parameters of the power system and thermal management system components, and correcting the zero-dimensional equivalent thermal circuit model through the thermophysical parameters to obtain a corrected zero-dimensional equivalent thermal circuit model; performing a simulation experiment by taking the corrected zero-dimensional equivalent thermal circuit model as an environment to obtain an aircraft thermal management training set; and training the deep reinforcement learning model according to the aircraft thermal management training set to obtain an aircraft thermal management model. The method can reflect the nonlinear thermal behavior of the component under complex and extreme working conditions, and guarantees the accuracy of thermal management strategy prediction and control.

To provide a dam management training system capable of improving training effect upon training dam operation.SOLUTION: A dam management training system of an embodiment includes a training device and a realistic state creating server. The training device is provided with a training data base and a training control unit. The training control unit sends first performance information corresponding to a first performance timing to the realistic state creating server when the first performance timing of a plurality of performance timings comes, in the training of an operator carried out based on an action agenda table. The realistic state creating server is provided with an image data base, a voice data base, and a performance control unit. The performance control unit performs at least one of causing an output device to display an image based on first image data corresponding to the first performance information in one or more image data and causing the output device to output voices based on first voice data corresponding to the first performance information in one or more voice data when receiving the first performance information from the training device.SELECTED DRAWING: Figure 1

We provide the system. [Solution] A means of inputting talk papers for high-expert crew and low-crew, A means for saving and pre-processing the input talk paper, A means for extracting keywords and phrases from a pre-processed talk paper, A means of comparing the frequency and context of extracted keywords and phrases and quantifying the discrepancies, A means of visualizing quantified deviation data and displaying the results, A system that includes means for formulating and managing training plans based on the displayed results.

Techniques described herein relate to a method for managing training data. The method includes making a determination that the first stream request is associated with unstructured data; in response to the determination: obtaining a manifest associated with the unstructured data based on the stream request, wherein the manifest comprises metadata; loading the unstructured data into a cache using the manifest; merging the metadata with the unstructured data to generate training data, wherein the training data comprises a plurality of training data examples; generating augmented training data using the training data and the stream specification; generating a mini-batch sequence using the augmented training data and the stream specification; creating a mini-batch sequence queue and a stream endpoint; and streaming the mini-batch sequence using the mini-batch sequence queue and the stream endpoint, wherein the mini-batch sequence is used by a training environment to train a machine learning model.

The present application relates to a method and device for guiding multi-round human-computer interaction tasks. The method receives real-time feedback data when a target user performs a human-computer interaction task, inputs a pre-trained dialogue generation model to obtain a target output dialogue, and outputs the target output dialogue. The model dynamically manages the training process by maintaining three data structures, namely a sample pool, a learned set, and a review buffer. Each iteration filters a training subset according to the sample difficulty evaluated by the current model, updates the gradient based on the historical samples, and dynamically classifies the samples according to the sample difficulty re-evaluated after training. The embodiments of the present application improve the convergence efficiency and generalization ability of the model, alleviate catastrophic forgetting, reduce the demand for training samples, and improve the guiding effect and task completion rate of multi-round human-computer interaction.

The invention relates to the technical field of experimental animal management training, in particular to a training system for intelligently training an experimental animal administrator based on an AI technology. The system comprises an interaction module used for displaying a training system interface through a display device and receiving a login instruction and a learning operation instruction of a user; the data acquisition module is used for sending a training task to a user in a multi-dimensional evaluation mode and acquiring a learning operation instruction input by the user according to the training task in real time; the data transmission module is used for sending the learning operation instruction to the data processing module; the data processing module is used for performing analysis according to the learning operation instruction of the user to generate an answer text, and generating a recommended learning list according to the answer text; and the AI module is used for feeding back the answer text generated by the data processing module and the corresponding recommended learning list to the user through the interaction module. The system supports learning at any time and technical skill assessment, and improves the flexibility of learning and the comprehensiveness of training.