6results about How to "Avoid refactoring" patented technology

This invention proposes a chaotic speech encryption method based on a time-frequency dual-track system, belonging to the field of speech encryption technology. The method includes: preprocessing the original speech data to obtain a mono-channel filtered speech signal; extracting parameter features and calculating normalized speech energy as input to the chaotic system; generating a chaotic sequence and performing multi-step enhancement to obtain an enhanced key stream; generating a scrambling index after Fourier transforming the speech signal; scrambling and reshaping the real and imaginary components in the frequency domain and performing XOR diffusion; recombining the encrypted frequency domain matrix and inversely transforming it back to the time domain; and obtaining the final ciphertext through index permutation and fusion of speech feature parameters. This invention uses a frequency-domain dual-track scrambling-diffusion mechanism combined with an attractorless six-dimensional conservative hyperchaotic system to generate an enhanced key stream, thus avoiding speech distortion in time-domain encryption, triggering a global avalanche effect, and simultaneously improving the algorithm's resistance to various attacks, ensuring both the security of speech encryption and the fidelity of speech restoration.

The invention discloses a variable topology system dynamics recursion grouping method based on graph theory description, and belongs to the field of spacecraft dynamics. The implementation method comprises the following steps: automatically calculating a cyclic dimension based on a graph theory algorithm, matching non-tree edges, generating pseudo nodes, and converting a ring-containing structure into a connected ring-free tree structure; multi-module topology automatic continuation: through a node number continuation method, automatically identifying repeated nodes, deleting redundant description and splicing new module topology, and realizing topology unified description of multi-module assembly; according to the method, a dynamic model is automatically grouped, manual derivation is not needed, a constraint equation is described by a body-pseudo body recursive relationship, a unified recursive relationship of rigid body-rigid body, flexible body-flexible body and rigid body-flexible body connection is combined, modal parameters are automatically called, a grouping matrix is generated, and the dynamic equation is output, so that automatic modeling updating can be realized. According to the method, automatic dynamic grouping of the variable topology system can be realized, dynamic reconstruction is avoided, and characteristic analysis and attitude control of an on-orbit assembly system are facilitated.

This application proposes a signal processing method, apparatus, terminal, chip, and storage medium, relating to the field of communications. The method includes: responding to the fact that a first SSB currently received and a previously received second SSB are SSBs repeatedly transmitted by a network device, merging first soft value information of the first SSB and second soft value information of the second SSB to obtain first target soft value information; wherein the first soft value information indicates the soft value of the digital signal of the MIB carried in the first SSB in each time unit, and the soft value is determined based on the ratio of the probability of the digital signal being a first value and the probability of it being a second value in the corresponding time unit; decoding and descrambling the first target soft value information to recover the MIB. Therefore, the reliability of MIB demodulation can be improved by utilizing redundant observation information provided by repeated transmissions of the same MIB by multiple SSBs, while avoiding the complex PBCH signal reconstruction process and reducing the complexity and resource consumption of signal processing.

The application discloses a three-dimensional target detection method and device based on language inference enhancement, comprising the following steps: collecting original images containing new categories from a current scene, generating diversified descriptions by using a multi-modal large model, obtaining images from the Internet, and performing data enhancement to construct a training set; training an open-world target detection model based on language inference; inputting the collected original images containing the target to be detected and the target category language prompt to be detected into the trained model to obtain a two-dimensional bounding box corresponding to the target category and a category confidence score in each original image; performing instance-level semantic segmentation on the image region of the two-dimensional detection box to obtain a target segmentation mask; performing coordinate conversion on the collected original three-dimensional point cloud of the target to be detected; and then associating the target segmentation mask with the projected laser radar point cloud to obtain a three-dimensional bounding box of the target to be detected. The application can quickly adapt to new categories and maintain strong generalization, and can significantly improve the detection accuracy of new categories.

This invention belongs to the field of electrocatalysis technology, specifically a mixed metal oxide supported catalyst, its preparation method, and its application. In this mixed metal oxide supported catalyst, the active component is selected from Ru, Ir, and Pt, and the support is a metal oxide ABOx formed by the homogeneous blending of metal oxides AOm and Bon; A and B are respectively selected from transition metal atoms or main group metal atoms; AOm... m The main support component contains at least two metal-oxygen coordination structures, and is associated with BO, the secondary support component. n A blending interface is formed, providing oxygen diffusion channels required for the oxygen evolution reaction (OER). B is used to regulate the electronic structure of the host support A, thereby regulating the electronic structure of the noble metal atoms, which helps improve the OER activity and stability of the catalyst. The catalyst of this invention can be used to prepare OER catalyst electrodes and water electrolysis devices. The preparation process of this invention is simple, and it can achieve high OER activity and stability while reducing the noble metal content, showing broad application prospects.

The invention relates to the technical field of point cloud extraction, in particular to a point cloud topographic feature intelligent extraction method based on regional quasi-geoid constraint. The method comprises the following steps: acquiring airborne laser radar point cloud and global navigation satellite observation data, constructing a regional quasi-geoid refinement model, and realizing point cloud elevation datum unification; constructing a ground point cloud triangulation network model based on the constrained point cloud elevation, calculating a terrain inclination angle and a linear expression error of a triangular surface, and adaptively determining a feature extraction parameter; and traversing the point cloud data in the triangular surface projection range, extracting the significant topographic feature points meeting the relative height condition, optimizing the triangulation network structure through iterative subdivision until a termination condition is met, and outputting a topographic feature extraction result. According to the method, through the synergistic effect of the regional quasi-geoid constraint and the adaptive feature discrimination mechanism, the unification of the elevation reference of the complex terrain point cloud, the effective suppression of the pseudo features and the synchronous improvement of the terrain feature extraction precision and stability are realized.