6 results about "Network migration" patented technology

The application provides a light field multispectral temperature inversion system and method based on a physical information neural network, first constructs a deep learning network infrastructure, adopts a double-layer U-Net architecture to extract radiation and spatial distribution characteristics of data; then designs a physical information embedding module, modularizes a Planck radiation law, and guides the network to establish a physical correlation between radiation information and temperature; subsequently, light field multispectral radiation data are collected through experiments, the network is trained after data division and preprocessing are completed, and a mapping relationship between radiation characteristics and temperature characteristics is established; finally, the trained network is migrated to actual test data, and high-precision and rapid temperature inversion is realized. The application has both the advantages of deep learning in processing complex data and the constraint of a physical model, not only improves the precision and calculation efficiency of light field multispectral temperature inversion, but also enhances the applicability of the light field multispectral temperature inversion in a high-temperature complex environment.

The present invention relates to a system (108) and a method (600) for identifying customers eligible for migration from an existing network (106) to a new network (110) The disclosed system (108) and method (600) aim at enhancing the experience of the customer as well as service providers. More particularly, the present invention provides a unique approach of predicting and identifying eligible customers for migration from the existing cellular network technology to new cellular network technology based on the prediction performed by the AI / ML model (216) utilizing the historical data and trend analysis, focusing on pre-defined or dynamically set parameters. This ensures the customers can experience better performance after migrating from the existing cellular network technology to the new network cellular technology.

In some implementations, a network device may transmit user equipment (UE) route selection (URSP) rules during a registration of a UE with a non-standalone (NSA) network, wherein the URSP rules exclude network slicing related rules based on a lack of network slicing support in the NSA network. The network device may transmit, in response to a handover of the UE from the NSA network to a standalone (SA) network that supports network slicing, updated URSP rules during a registration of the UE with the SA network, wherein the updated URSP rules include a flag in each rule that controls the mode of migration of ongoing session(s) at the UE from the NSA network to the SA network during mobility procedures.

A network system can include a memory and processing circuitry, in communication with the memory, configured to: grant a client device access to a first network; determine that the client device has received authentication credentials for a second network; in response to determining that the client device has received the authentication credentials for the second network, prevent the client device from reconnecting to the first network; and cause the client device to disconnect from the first network.

The application provides a border network migration signal coverage problem processing method and device and a readable storage medium. The method comprises: classifying coverage problem data of a current network, establishing a database based on the data classification result, and the data classification result at least comprises a weak coverage class, an out-of-coverage class and a no-problem class; obtaining test data of a border area network migration signal; detecting and analyzing the test data based on the database to obtain a test analysis result; and determining a corresponding signal coverage problem processing strategy according to the test analysis result. The application provides a border network migration signal coverage problem processing method, which uses a test software carried by a drone to fly over a border port and a sea surface to perform signal testing, classifies signal coverage problems of a test result, and uses a matching algorithm to effectively solve various problems of border area signal coverage.

The application discloses a novel hybrid tractor energy migration management method, and belongs to the technical field of intelligent control of agricultural equipment. The method is aimed at the problems of low training efficiency, untimely updating and non-migration of existing energy management strategies. Firstly, a sampling mechanism enhanced soft actor-critic algorithm fusing priority experience replay is proposed to improve the offline training efficiency. Secondly, a strategy updating method based on transfer learning is proposed. Through the "pre-training-network migration-fine-tuning" mechanism, the rapid updating and adaptive optimization of the strategy in cross-working conditions are realized. The system comprises a modeling module, a training module and a migration and updating module, and is used for realizing the above method. The application can significantly improve the efficiency of strategy training and updating, and effectively improve the fuel economy of the hybrid tractor.