8 results about "Management training" patented technology

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 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.

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 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.

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.