10results 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 invention relates to an oxygen vacancy-enriched potassium vanadate zinc ion battery positive electrode material as well as a preparation method and application thereof, and belongs to the technical field of aqueous zinc ion battery positive electrode materials. In order to solve the problem that oxygen vacancies introduced into a positive electrode material V2O5 are unstable in the battery circulation process, the invention provides an oxygen vacancy-enriched potassium-zinc vanadate ion battery positive electrode material which is potassium ion doped hydrated vanadium pentoxide. The high-stability oxygen-vacancy-enriched potassium vanadate zinc ion battery positive electrode material is obtained by accurately regulating and controlling the doping concentration and preparation process parameters, and the stability and the electrochemical performance of the material in the circulation process and the diffusion kinetics of zinc ions are improved. When the material is applied to the aqueous zinc ion battery, the material shows relatively high energy density and power density and excellent electrochemical performance and cycling stability, a test of 12000 cycles is carried out under the current density of 10Ag <-1 >, and the capacity retention rate after the cycles is close to 90%.

The invention belongs to the technical field of flow fields, and particularly relates to a universal simulation method for complex particle two-phase flow. Comprising the following steps: S1, constructing a geometric representation model to represent geometric information of complex particles and dividing grids; s2, on the basis of the grids divided in S1, solving the flow field by adopting a finite element method based on characteristic line splitting to obtain the flow field speed at the pseudo (n + 1) moment and the flow field pressure at the (n + 1) moment; s3, calculating the stress and moment of force of the complex particles; and S4, calculating a complex particle attitude through a six-degree-of-freedom model. The method has the advantages that the calculation efficiency is high, the calculation complexity and cost are reduced, and the simulation efficiency is improved. The translation and rotation motion of complex particles can be accurately described, and comprehensive kinetic analysis is provided. And stability is good, stable solution of fluid and particle motion coupling is achieved, and numerical oscillation and instability are avoided. And multi-scale simulation capability: accurate simulation can be carried out on different scales, and the requirements of multi-scale numerical simulation are met.

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.

The invention discloses an unsupervised OOD detection method and device for hierarchical semantic reconstruction based on a diffusion model. The unsupervised OOD detection method comprises the following steps: acquiring to-be-detected data; processing the to-be-detected data through a preset processing model to perform multi-layer semantic feature extraction on the to-be-detected data to obtain multi-layer features; performing normalization and distortion on the multi-layer features in sequence, and performing layer-by-layer semantic feature reconstruction on the distorted multi-layer features to obtain multi-layer reconstructed features; and obtaining a reconstruction error between the multi-layer reconstruction feature and the normalized multi-layer feature vector, and if the reconstruction error meets a preset condition, determining that the to-be-detected data is out-of-distribution data. The detection efficiency can be remarkably improved, and the detection speed is increased.

The invention discloses a pre-magnesium and pre-lithium silicon-oxygen negative electrode material and a preparation method and application thereof, and the preparation method of the pre-magnesium and pre-lithium silicon-oxygen negative electrode material comprises the following steps: A1, pre-magnesium treatment: mixing a silicon-oxygen material and elemental magnesium, and calcining to obtain a pre-magnesium silicon-oxygen material; a2, pre-lithium treatment: mixing the pre-magnesium-silicon-oxygen material with lithium hydride, and calcining to obtain a pre-magnesium and pre-lithium-silicon-oxygen negative electrode material; and / or B1, pre-lithiation treatment: mixing the silica material and lithium hydride, and calcining to obtain a pre-lithiated silica material; b2, pre-magnesium treatment: mixing the pre-lithium-silicon-oxygen material with elemental magnesium, and calcining to obtain a pre-magnesium pre-lithium-silicon-oxygen negative electrode material; the mass ratio of the silica material to the elemental magnesium is 10: (0.2-1); the mass ratio of the silica material to the lithium hydride is 10: (0.1-0.8). According to the invention, through the pre-magnesium treatment and the pre-lithium treatment, the rigidity and the structural stability of the silicon-oxygen negative electrode material prepared from the pre-magnesium and pre-lithium silicon-oxygen negative electrode material can be improved, and the capacity retention ratio of the silicon-oxygen negative electrode material is improved.