8 results about "Training material" patented technology

The utility model relates to the technical field of teaching equipment, and specifically discloses a single-person command and training device for virtual-reality combined emergency drills, which includes: a table body, a first display screen component and a second display screen component; a VR device cabin and a mainframe cabin are detachably arranged on the table body; the VR device cabin is used to accommodate the VR device; the mainframe cabin is used to accommodate the mainframe; the first display screen component and the second display screen component are both installed on the tabletop of the table body, and the included angle between the display end faces of the first display screen component and the second display screen component is 90 degrees to 180 degrees; the first display screen component is used to store training materials and perform screen sharing with multiple student terminals; the second display screen component is wirelessly connected to multiple VR devices, and is used to issue VR tasks to each VR device and receive the training data returned by each VR device. The utility model can not only improve the training efficiency of the device, but also improve the layout rationality of each accessory.

The application discloses a training method for cognitive flexibility and related products, wherein the method comprises the following steps: determining an initial training level based on basic information of a target object; determining the number of multiple training attempts corresponding to a training task, the training dimension corresponding to each training attempt and the generation condition of training materials based on the initial training level; generating multiple training materials based on the generation condition of the training materials, wherein the multiple training materials and the multiple training attempts correspond to each other; generating multiple training task rules based on the training materials and the training dimension corresponding to each training attempt, wherein the multiple training task rules and the multiple training attempts correspond to each other; generating a training task based on the training materials and the training task rules corresponding to each training attempt; and showing the training task to the target object to train the target object. The method can improve the training effect and efficiency of cognitive flexibility.

A machine learning system includes a processor and a memory communicably coupled to the processor. The memory stores machine-readable instructions that, when executed by the processor, cause the processor to select a training dataset comprising training material compositions and tagged material property values, select at least two material property datasets comprising material compositions with corresponding material property values, and embed the training material compositions and the material compositions of the at least two material property datasets into a chemical space of a machine learning module. The memory also stores machine-readable instructions that, when executed by the processor, cause the processor to predict, based at least in part on the training material compositions and the material compositions of the at least two material property datasets embedded in the chemical space, property values for corresponding material compositions in the at least two material property datasets.

This invention discloses a method and system for generating personalized training content for construction safety, applied in the field of construction safety technology. First, training data is obtained from relevant construction safety training materials to construct a training content database. Knowledge keywords are extracted and divided into multiple knowledge point units. Personal data of construction workers to be trained is collected and analyzed from multiple dimensions to generate corresponding personalized risk tag sets. Then, the first matching degree between the set of required keywords and each knowledge point unit is calculated, and the second matching degree between the personalized risk tag set and each knowledge point unit is calculated using a mapping index. Finally, combining the first matching degree, the second matching degree, and the degree of forgetting of previously trained content, a multi-queue sorting scheme is used to filter and sort target knowledge point units, generating suitable personalized training materials. This invention generates training content based on training needs and integrates the personalized data of trainees, achieving precise education on construction safety and contributing to ensuring construction safety.

The present disclosure provides a training value-based material screening method and device, electronic equipment and medium, wherein the method comprises: obtaining a plurality of candidate training materials, determining the data characteristics of the candidate training materials, and the attributes of the business scenarios to which the candidate training materials belong; grouping the plurality of candidate training materials to obtain a plurality of training subsets; determining the multi-modal characteristics corresponding to each training subset, and determining the training value corresponding to the candidate training material according to the multi-modal characteristics and the historical training set, wherein the historical training set is a training set used by a historical training artificial intelligence (AI) model, and the training value is used to represent the contribution of the candidate training material to the iterative optimization of the AI model; and determining whether to use the plurality of candidate training materials to train the AI model according to the training value. The technical problem of slow updating efficiency of the AI model in the prior art, affecting the training effect of the AI model, and leading to poor performance of the AI model is solved.

The invention, which relates to the technical field of image detection, discloses a high-generalization-oriented counterfeited region self-guiding collaborative learning double-flow detection system comprising a data processing module, an attribute tag generation module, a region guiding feature extraction module, a collaborative feature discrimination module and a training test optimization module. According to the method, random image transformation is performed on a standard sample to generate a twin image pair and an initial region mask, an input generator automatically outputs three types of attribute tags including a counterfeit type, a counterfeit region mask and a tampering proportion value, and a dynamic weighting mixing strategy is adopted to synthesize an enhanced training sample according to the counterfeit type. According to the design, diversified training materials and stable supervision signals can be obtained without manual annotation, the problems that manual annotation is high in cost and limited in coverage range are solved, the adaptability to different counterfeit modes can be improved through rich training samples, and the robustness of the system is improved. And a solid foundation is laid for feature extraction and discrimination tasks.

This invention discloses an AI-adaptive training system and method for non-ferrous heavy metal safety standardization information, belonging to the field of enterprise safety production information management technology. Based on enterprise safety procedures and training materials, this method constructs a data-driven closed-loop management system through five steps: training planning, examination and assessment, personnel status monitoring, personalized training, and needs analysis and feedback. This invention utilizes natural language processing technology to parse documents and generate test questions and courseware; it uses semantic similarity algorithms to automatically grade subjective questions, identifying employee knowledge weaknesses and historical score rates; it employs image recognition for online training identity verification; and it uses data clustering technology to analyze common knowledge gaps, generating individual and departmental training needs plans, which are then fed back into the formulation of the next year's training plan. This invention solves the problems of insufficient targeting and low management efficiency in traditional training, significantly improving the accuracy of training and the effectiveness of risk management.

This utility model relates to the field of document storage technology and discloses a labor training document storage rack, including a storage support. Three shelves are fixedly installed on the inner wall of the upper surface of the storage support, and a U-shaped plate is fixedly installed on the rear surface of the storage support. A storage plate is fixedly installed at the lower end of the rear surface of the storage support. An auxiliary cleaning mechanism is set inside the storage support. The auxiliary cleaning mechanism includes a cleaning plate and a push rod. The cleaning plate is slidably placed on the lower inner wall of the storage support. A rectangular groove is opened on the lower surface of the cleaning plate. A clamping plate is slidably installed on the inner wall of the rectangular groove. The cleaning plate is remotely pushed by the push rod. The clamping plate, together with the triangular plate, installs wet wipes so that the wet wipes cover the inner closed rear end of the shelf, avoiding the need for workers to manually reach into the narrow space. It is especially suitable for the structure of multi-layer shelves arranged vertically, which improves the cleaning efficiency of the labor training document storage rack and thus improves the work efficiency of the workers.