3results about How to "Clear description" patented technology

This invention discloses a communication method and system based on aerial drones assisting 5G ground base stations. It establishes an environment centered on a ground base station, with drones orbiting around it to assist communication. The number of drones that can be introduced within the signal coverage area of ​​the ground base station for assisting communication is set. The maximum number of drones that can be introduced is used as the upper limit for the iteration of the algorithm to determine the location and number of drones assisting the ground base station. In the first iteration, no drones are introduced, and only user devices within the signal coverage area of ​​the ground base station can access the network. After the algorithm iterations, the exact number and location coordinates of drones required to support the ground communication network are obtained, realizing communication based on drones assisting 5G ground base stations. This provides an effective communication solution for scenarios with high-density user device network access.

A kind of multi-circle formation control method of non-holonomic constraint vehicle based on azimuth relative position observer belongs to the field of multi-vehicle cooperative control. A distributed scheme relying only on local observation of azimuth and light communication with neighboring vehicles is constructed to reduce the performance requirements of vehicle-mounted sensors. A basic formation controller based on relative position with input saturation characteristics is designed, which adapts to the physical limits of Ackerman chassis through parameter constraints. To overcome the limitation that relative position cannot be directly measured, an azimuth-based relative position observer is designed to adapt to different observation scenarios. An integrated formation strategy of observation and control is built, and the theoretical proof of controller closed-loop stability and observer global convergence is completed by combining Lyapunov stability theory and graph theory. The convergence performance and engineering advantages of the method are verified through numerical simulation and real vehicle experiment. The performance requirements of vehicle-mounted sensors and system deployment cost are greatly reduced, which is suitable for complex scenarios such as GPS denial and electromagnetic interference, and has strong engineering practicability.

The invention discloses an enterprise industry classification method and system based on associated enterprise information and a BERT model, and relates to the technical field of computers. The method comprises the following steps: acquiring enterprise information of a to-be-classified enterprise; enterprise keywords of the to-be-classified enterprises are extracted according to the enterprise information, and an enterprise keyword set of the to-be-classified enterprises is determined based on the enterprise keywords; respectively calculating the similarity between the enterprise keyword set and each preset industry keyword set through a pre-trained BERT model; the industry categories corresponding to the industry keyword sets with the similarity larger than a similarity threshold value are selected as alternative industries to which the industry categories belong; if the alternative industry is not unique, determining an associated enterprise of the to-be-classified enterprise, processing the associated enterprise information of the associated enterprise and the similarity of each alternative industry according to a preset comprehensive industry score calculation rule, and calculating to obtain a comprehensive industry score of each alternative industry; and the industry with the highest score is selected as the belonging industry, so that the accuracy of enterprise industry classification is improved.