6results about How to "Strong matching" patented technology

Embodiments of the present application provide a vulnerability scanning strategy matching model training method, device and equipment, and relate to the technical field of network security. The method comprises: obtaining vulnerability scanning records of network devices uploaded by a vulnerability scanning device, including: attribute information of the network devices, vulnerability scanning strategy parameters adopted by the vulnerability scanning device for scanning the network devices, and corresponding vulnerability scanning results; determining vulnerability scanning strategy target parameters corresponding to the network devices according to the vulnerability scanning strategy parameters and the corresponding vulnerability scanning results; generating device attribute samples according to the attribute information, and generating corresponding labels according to the corresponding vulnerability scanning strategy target parameters; generating a training set according to the samples and the labels; training a preset vulnerability scanning strategy matching model using the training set to obtain a model with strong matching capability, and then quickly matching vulnerability scanning strategy parameters corresponding to a network device to be scanned, i.e. a vulnerability scanning strategy, based on the model.

The invention relates to the technical field of transmission gear shifting testing, and discloses a transmission static gear selecting and shifting performance testing device and a testing method thereof.The transmission static gear selecting and shifting performance testing device comprises a gear selecting assembly, a gear shifting assembly, a detecting assembly and an adjusting assembly.The gear selecting assembly comprises a gear selecting mechanical arm and a first motor, and the gear selecting mechanical arm is fixedly connected with a rotating shaft of the first motor in a sleeving mode; the gear shifting assembly comprises a gear shifting mechanical arm and a second motor, the gear shifting mechanical arm comprises two connecting ends, one end of the gear shifting mechanical arm is fixedly connected with a rotating shaft of the second motor in a sleeved mode, and the other end of the gear shifting mechanical arm is fixedly connected with a gear shifting shaft in the transmission in a sleeved mode. The detection assembly comprises a first encoder, a second encoder, a first force sensor and a second force sensor, the first force sensor and the second force sensor are connected with the gear selecting mechanical arm and the gear shifting mechanical arm respectively, and the adjusting assembly comprises two adjusting seats which are connected with the gear selecting mechanical arm and the gear shifting mechanical arm respectively. The static gear selecting and shifting performance testing device is simple in structure, high in adaptability and low in cost, and comprehensive and objective static gear selecting and shifting performance results of the transmission can be obtained.

This invention belongs to the field of robot safety control technology and discloses a method for safe motion planning of a dual-redundant robotic arm. A linear mapping relationship is established between the joint spatial velocities of the redundant robotic arm and the velocity of the end effector. End effector velocity constraints, safety distance constraints, and joint amplitude constraints are established, and a multi-objective joint constraint model is established by integrating a differential kinematics model with the three types of constraints. The optimal decision variables satisfy the Cartesian-Kuhn-Tucker conditions. The original expression of the Cartesian-Kuhn-Tucker conditions is clarified, and a nonlinear complementary function is introduced to reconstruct the Cartesian-Kuhn-Tucker conditions. Based on the improved Cartesian-Kuhn-Tucker conditions, a vector error function is defined, and an adaptive zeroing neural network is designed. The vector error function is iteratively solved using the adaptive zeroing neural network to obtain the optimal decision variables of the multi-objective joint constraint model. The optimal decision variables are then used as the joint motion control commands for the robotic arm and output, completing the robotic arm motion planning.

The application discloses a kind of network interconnection method and system of batch advertisement, it is related to data processing field, wherein the method comprises: based on multiple advertisement product feature recognition results, advertisement database is carried out cluster analysis, obtains product advertisement database;Obtain multiple advertisement quality evaluation results;Obtain multiple product demand preference analysis results;Multiple advertisement product feature recognition results, multiple advertisement quality evaluation results, multiple product demand preference analysis results are input intelligent advertisement user matching model, obtain multiple advertisement user matching results;Based on multiple advertisement user matching results and product advertisement database, multiple advertisements, multiple users are interconnected by advertisement network interconnection module.Solve the technical problem that the network interconnection accuracy of the prior art for advertisement is insufficient, and then the technical problem that the effect of advertisement is not good is caused.Improves the technical effect that the network interconnection accuracy of advertisement is improved, improves the quality of advertisement and so on.

The utility model discloses a cluster confluence box and an energy storage system comprising the same, the cluster confluence box comprises a rear shell, a side-mounted hanger and a front cover plate, the front cover plate is arranged in front of the rear shell, a confluence cavity groove is formed by a cavity groove enclosed by the rear shell, the groove edges of the left and right sides of the confluence cavity groove are provided with rear shell hangers extending outwards, and the side-mounted hanger is arranged on the front cover plate. Two sets of confluence copper bars are supported and installed in the confluence cavity groove through insulation columns, each set of confluence copper bars is provided with a first screw and a second screw which are used for being connected with the output terminal and the input terminal in a locking mode respectively, a plurality of wire passing holes are formed in the shell wall of the top of the rear shell, and insulation paper is arranged on the inner wall of the confluence cavity groove on the rear sides of the confluence copper bars in a pressing mode; one side of the strip frame is connected with a U-shaped frame, and the U-shaped frame is detachably installed on the rear shell hanging lug. The cluster convergence box has the beneficial effects that the cluster convergence box has strong flexibility, compatibility and matching performance, has multi-point installation capability, and can meet various complex installation scenes and the like.

The application provides an information processing method and device based on user multi-source data and a medium, relates to the technical field of data processing, and is applied to a first application program. In the method, data from multiple data sources is integrated to generate a data feature vector, which helps to capture multi-level user requirements and potential interests and can reflect the intention or purpose of the target user for starting the application program. A model is determined based on the data feature vector and a sorting algorithm, and a target sorting algorithm is determined from several preset sorting algorithms. The accuracy of the determined target sorting algorithm is improved, and further, the target sorting algorithm is used to determine the video display order of several to-be-displayed videos, and the to-be-displayed videos are displayed to the target user according to the video display order. The to-be-displayed videos with higher relevance and stronger matching degree are preferentially presented to the target user, which is beneficial to improving the user experience.