4results about How to "Excellent characteristics" patented technology

This invention relates to the field of intelligent brain disease diagnosis technology, specifically providing an auxiliary diagnostic method and system based on multimodal decoupled dynamic graph learning. The method includes: acquiring and preprocessing multimodal data (such as neuroimaging, genetic markers, etc.) of the subject; extracting common pathological information and modality-specific features through a shared encoder and modality-specific encoders respectively, and optimizing the separation process using a decoupling loss function; furthermore, fusing all modality embeddings using a multi-head self-attention mechanism with a masked matrix to generate initial node representations, where the mask is used to suppress modality self-attention; subsequently, performing hierarchical dynamic graph convolution based on the node representations: in each layer, dynamically updating the graph adjacency matrix by combining the current node representation with the original features, and iteratively optimizing the node representations through message passing; finally, inputting the optimized representations into a classifier to obtain disease prediction results. This invention improves the automation performance and reliability of diagnosis.

This application discloses an adaptive obstacle detection method and apparatus for adverse weather conditions, relating to the field of autonomous driving technology. The method acquires multi-source sensor data from an onboard vehicle, combines it with pre-calibrated sensor parameters to generate spatiotemporally aligned multi-source sensor data, extracts features to obtain feature maps for each modality, and projects all feature maps onto a bird's-eye view BEV space of the same resolution, using the LiDAR coordinate system as a reference, outputting a multi-modal BEV feature set. The feature set is concatenated along channels to form global state features, which are input into a pre-trained dual-branch adaptive decision network to obtain the output decision result, thereby generating the final image BEV features. Combining the multi-modal feature confidence weight matrix, the final image BEV features and the multi-modal BEV feature set are weighted to obtain globally fused BEV features, which are input into a 3D obstacle detection head for decoding and output detection results. This application can improve the robustness of multi-sensor fusion perception and obstacle detection accuracy under adverse weather conditions.

This utility model discloses a device and vehicle for controlling the height and posture of a vehicle cab, comprising a height valve assembly and an adjusting linkage assembly. The height valve assembly includes a swing arm, a connecting shaft assembly, a rotor valve plate, a valve core assembly, an upper valve cover, and a lower valve body; the lower valve body has an air inlet, an air outlet, and an exhaust port with a muffler; the rotor valve plate and the valve core assembly cooperate to form a metal shear seal, switching the air path according to the swing arm position, and has a dead zone. The adjusting linkage assembly includes upper and lower connecting rods that can slide relative to each other and are locked by fastening sleeves, with connecting ball heads at both ends. This utility model has the advantages of large displacement, high inflation and deflation efficiency, fast response, good anti-fouling properties, low noise, and convenient adjustment, and is especially suitable for new energy vehicles, effectively improving the smoothness and reliability of the entire vehicle.

This invention discloses a liquid-phase probe-targeted capture library construction method and kit for enteroviruses, belonging to the field of virus detection technology. This invention combines targeted enrichment with high-throughput sequencing, featuring broad coverage, high flexibility, high sensitivity, and high specificity, enabling multi-dimensional information output including quantitative, qualitative, and in-depth analysis. Through the probe-targeted capture "enrichment-screening" mechanism, this invention reduces probe redundancy design, minimizes background nucleic acid interference from intestinal flora, exhibits excellent adaptability to complex samples, and eliminates the need for complex sample pretreatment, making it suitable for large-scale epidemiological detection.