5results about How to "Increase contribution" patented technology

This invention discloses a single-target tracking method and system based on channel attention and spatiotemporal awareness. The method includes the following steps: inputting a template image and a search region image; extracting hierarchical features from both using two weight-shared RepVGG backbone networks; performing self-attention and cross-attention feature fusion on the two feature maps using a fusion model based on channel attention mechanism; completing target tracking prediction through classification branches, bounding box regression branches, and centrality regression branches; updating the template in real time through threshold judgment; adding the temporal information of subsequent frames to the fusion network to achieve complete target tracking; and demonstrating tracking performance. The system includes: a feature extraction module, a feature fusion module, a tracking prediction module, and a performance display module. This invention allows the template features to adaptively enhance their completeness with spatiotemporal changes, thereby improving the robustness of tracking.

This invention relates to a method for predicting the performance of marine turbocharger compressors via a performance map. It addresses the problems of existing methods, such as multiple constraint conflicts, local distortion, and the inability to simultaneously satisfy multiple physical consistency requirements, and belongs to the field of marine power. The invention includes: acquiring sparse data point sets containing speed, flow rate, pressure ratio, and efficiency at multiple speeds, and grouping them by speed. For a target speed, two adjacent subsets of speed lines are selected, and feature point data for the target speed are constructed using linear interpolation. The similarity between each known speed line and the target speed is calculated, including speed difference, peak position flow rate difference, peak amplitude difference, surge, stagnation endpoint flow rate difference, local slope difference, and curvature difference. Adaptive weights are generated based on the similarity, and the pressure ratio and efficiency curves of all known speed lines are weighted for prediction to obtain the target speed prediction curve. Joint constraint solving is performed to construct an objective function and apply multiple types of constraints to form a prediction result that satisfies all constraints, ultimately generating a complete compressor performance map.

This invention provides an optimization method for a temporally dependent data prediction model based on agent trajectory feedback, applicable to tasks such as webpage evidence text collection, open encyclopedia question answering, enterprise knowledge base question answering, or retrieval enhancement generation. The method collects multi-round execution trajectories formed by the agent's interaction with the retrieval system during task execution. Initial supervised samples are constructed based on the candidate document set returned by the search action and subsequent browsing actions. Positive samples are filtered using post-browsing inference text and an inference-evidence consistency judgment model. Relevance strength weights are estimated based on inference length, evidence citation count, number of fact entries, and changes in subsequent actions. The retrieval model is trained using temporally gated coding and a weighted contrastive learning objective function. The optimized retrieval model is then deployed back to the agent system for continuous closed-loop updates, improving the execution efficiency of webpage evidence collection, evidence retrieval, and complex question answering tasks.

The present application relates to a kind of tomography methods for fast small-scale ionospheric disturbance event, based on the disturbance event occurrence time period of target ionosphere in the disturbance event occurrence space above, and with the various navigation satellites to be analyzed of target layout area in the space link of GNSS receiver, according to the GNSS receiver site selection position coordinate range in target time period, analyze the space intersection of the local motion coordinate track of each navigation satellite to be analyzed and the space link between GNSS receiver in disturbance event occurrence space, and with maximum space intersection as target, determine the optimal site selection coordinate of GNSS receiver, then according to the space link communication between GNSS receiver and navigation satellite to be analyzed, complete the tomography of disturbance event in target ionosphere, to improve effective observation time, the contribution degree of GNSS receiver monitoring data in disturbance event occurrence space to ionospheric tomography, solve the problem that the number of receiver is limited in the application of sparse distribution in fast small-scale ionospheric disturbance event tomography, effective monitoring time is short, coverage area is not enough etc., can effectively improve the ability of ionospheric tomography.