Abstract: A chest patch component and a use method thereof are disclosed according to the present application, and belonging to the technical field of chest patches, including: a chest patch body, a cross-sectional area of the chest patch body is arranged in an arc shape; a detachable massage module arranged at one side of the chest patch body, where the detachable massage module is mounted on a convex part of the chest patch body; a mounting component arranged between the chest patch body and the detachable massage module, the chest patch component disclosed by the present application is mainly composed of a chest patch body, a detachable massage module, a mounting groove, an antibacterial structure, a covering cushion layer, a close-fitting cloth cover and other main structures.

Abstract: The techniques described herein utilize a machine learning algorithm to train the encoders from multiple UE vendors and a shared decoder from a gNB vendor in order to develop a universal gNB decoder that may be capable of decoding input from UEs from different UE vendors at comparable performance and overhead to different decoders that are specifically developed for each encoder.

Abstract: The embodiments of the present application provide a method and a device for identifying an unsafe behavior of a drilling operator, which relate to the field of data analysis, and the method includes obtaining eye movement data information of a drilling operator by an eye movement data sensor, processing the eye movement data information to obtain an eye movement characteristic parameter corresponding to the eye movement data information, inputting the eye movement characteristic parameter to an identification model to obtain an output result from the identification model, and determining an operation behavior of the operator according to the output result and sending a warning to the operator when the operation behavior is a preset type. Through analyzing the eye movement data information in real time, whether an operation behavior meets regulations can be determined, thus realizing real-time monitoring and identification of unsafe operation behaviors of the drilling operator.

Abstract: A system for training a model for image processing using federated learning is provided. The system includes a controller programmed to obtain information about a computation resource in each of a plurality of edge nodes, assign training steps to the plurality of edge nodes based on the information about the computation resource, determine frequencies of uploading local model parameters for the plurality of edge nodes based on the assigned training steps, receive local model parameters from one or more of the plurality of edge nodes based on the determined frequencies, and update a global model based on the received local model parameters.