5results about How to "Improved accuracy and stability" patented technology

The present invention discloses a collaborative filtering recommendation method and system based on trusted selection of time-sensitive neighbors, which predicts the score of a target user on a target project based on a score matrix, and the specific steps include: time-sensitive neighbor screening, trusted neighbor selection, and score prediction. The collaborative filtering recommendation method based on trusted selection of time-sensitive neighbors of the present invention fully considers two time-varying factors, abnormal changes in user interests and fluctuations in recommendation credibility, and sequentially utilizes three steps, namely, time-sensitive neighbor screening, trusted neighbor selection, and target user score prediction, to complete the recommendation to the target user, thereby alleviating the problems of low collaborative filtering recommendation accuracy, poor stability, and weak resistance to user profile injection attacks in the case of sparse data.

A high-strength level ruler comprises a ruler body, a level bubble bracket and a 180-degree level bubble assembly, the 180-degree level bubble assembly is installed in the level bubble bracket, the level bubble bracket is of a U-shaped structure with the upper end and the front end open and the rear end unbroken, and an installation opening for the level bubble bracket to be placed in is formed in the middle of the ruler body. The mounting opening is of a structure with the upper end and the front face corresponding to the level bubble bracket, first buckles clamped into the left side and the right side of the mounting opening in a matched mode are arranged on the left side and the right side of the upper end of the level bubble bracket in a protruding mode, and a clamping groove clamped into the lower edge of the front face of the mounting opening in a matched mode is formed in the front end of the level bubble bracket. A clamping strip which abuts against the inner wall of the back face of the ruler body in a fastened mode is arranged on the rear end face of the level bubble bracket in a protruding mode, the level bubble bracket is assembled in the installation opening in a triple buckle connection mode, and a bracket fixing cover is arranged at the upper end of the level bubble bracket and fixed to the ruler body. The leveling instrument is reasonable in structural design, the bracket and the instrument body are firmly, stably and reliably assembled, the overall structure is high in anti-falling strength, and the precision stability of the leveling instrument is effectively improved.

This invention provides an AI-driven 3D reconstruction method and system for UAV imagery in a distributed cluster environment; it includes: acquiring image data from each node of the UAV cluster, performing feature extraction and 3D reconstruction on the image data; acquiring wind distortion parameters of the UAV flight area and computing power parameters of each node in real time, and establishing a coupling relationship between wind distortion and node computing power; correcting the feature extraction process of the image data based on the coupling relationship, simultaneously acquiring the time synchronization parameters of each node, and establishing a collaborative calculation relationship between the feature extraction results and the time synchronization parameters; optimizing the computing power allocation of the cluster nodes according to the collaborative calculation relationship, and then adjusting the wind distortion correction parameters and time synchronization parameters in reverse based on the optimized computing power allocation results. This invention can maintain high-speed solid-state drive writing under limited hardware interface resources to shorten the testing time.

The utility model discloses a high-precision low-resistance alloy resistor structure which comprises a resistor main body, a first outer resistor repairing opening, a second outer resistor repairing opening, a first inner resistor repairing opening, a second inner resistor repairing opening, a first avoiding guide groove, a second avoiding guide groove and a detection jack. Through the mode, the high-precision low-resistance alloy resistor structure disclosed by the utility model optimizes the product structure without increasing the cost, so that the resistance of the product is more precise, and the product has higher precision stability.

This invention relates to the field of machining technology, and particularly to an intelligent matching method and system for slow wire EDM machining parameters. The method involves loading electrode wire parameters and workpiece parameters to configure machining parameters and obtain first machining parameters. When the monitored environmental parameters are inconsistent with the standard environmental parameters, the method uses the electrode wire parameters, workpiece parameters, first machining parameters, and monitored environmental parameters as constraints to search the slow wire EDM machining sample set, performs lumped value evaluation, and obtains the fitted dimensions of the workpiece after cutting. When the dimensional deviation between the fitted dimensions and the standard dimensions of the workpiece after cutting is less than or equal to the dimensional tolerance, metal cutting control is performed based on the first machining parameters; otherwise, the first machining parameters are updated. This invention improves the accuracy and stability of metal cutting using slow wire EDM, reduces trial cutting costs and scrap rates, increases machining efficiency, and reduces production burden.