10results about How to "Reduce repetitions" patented technology

The invention discloses a processor and a method for solving processor data conflict and low-power-consumption execution. When instructions are dispatched, each long instruction is recorded into an OITF table item, and each long instruction is written back, the instruction is removed from the OITF table item; the long instruction which is dispatched but not written back is stored in the table item in the OITF; when each instruction is dispatched, the target information of the instruction is compared with the target information in each table item in the OITF so as to judge whether the instruction has a data conflict with a long instruction which is dispatched and not written back or not, when the data conflict is generated, an assembly line is blocked at a dispatching point, and after the data conflict is relieved, dispatching is continued, and in addition, the data conflict between the instruction and the long instruction is eliminated. And when the dispatched instruction is executed, data operation of different types of instructions is carried out through the shared data operation sub-module. The method can effectively solve the data conflict generated in the operation of the processor, and reduces the power consumption and area of the processor in the execution stage.

The application provides an X-band broadband high-gain radar metasurface antenna and a design method thereof. The metasurface antenna comprises, from top to bottom, a metasurface layer, an intermediate metal layer and a lower microstrip feed line layer. The metasurface layer comprises at least one metasurface unit. An asymmetric chamfer structure is designed on each metasurface unit. A center fork-shaped slot is arranged at the center of each metasurface unit, and four embedded parasitic branches are arranged at four side edges, respectively. Rectangular coupling slots corresponding to each metasurface unit are arranged on the intermediate metal layer. Feed lines corresponding to each metasurface unit are arranged on the lower microstrip feed line layer. The design method provided in the application can improve the design efficiency.

The invention discloses an antibacterial coating material and a preparation method thereof as well as a surgical suture and a preparation method thereof, and belongs to the field of medical materials. The preparation method comprises the following steps: grafting a quaternary ammonium salt group and a catechol group to chitosan, modifying the chitosan, and reacting the modified chitosan with silver nitrate to generate nano-silver. Modified chitosan is adopted as a reducing agent and a stabilizing agent, a stable nano-silver solution is formed under irradiation of light containing ultraviolet rays, the surface of an existing mainstream surgical suture main body is coated with a chitosan nano-silver composite material, and the surgical suture with the good antibacterial effect is obtained. According to the antibacterial coating material and the preparation method thereof as well as the surgical suture and the preparation method thereof, the antibacterial effect can be improved, the preparation method is simple, the process condition is mild, and the antibacterial coating material is suitable for large-scale production.

The invention discloses a shooting end layout method and device based on a safety helmet, equipment and a storage medium, and relates to the technical field of electric digital data processing. According to the method, each preset shooting end is automatically arranged by simulating a physical and mechanical process, manual arrangement in a traditional method through artificial experience is avoided, redundant installation in artificial experience is avoided while it is guaranteed that all the preset shooting ends completely cover a construction site, and therefore the regional repeatability of each preset shooting end is reduced, and the construction efficiency is improved. Meanwhile, the regional repeatability is reduced to the minimum through a global optimization algorithm, so that no dead angle exists in image and image acquisition of the construction site, the repeatability is low, complex target functions and parameters do not need to be drawn up, the method is simple, rapid and accurate, a good and dead-angle-free image or image acquisition environment is obtained, and the method is suitable for large-scale popularization and application. Clear and high-quality data can be provided for subsequent computer vision detection, so that misjudgment is reduced or eliminated, and the personal safety of constructors can be accurately guaranteed.

The invention relates to an integrated crucible preform based on a single-layer structure, and belongs to the technical field of thermal field components for monocrystalline silicon. The prefabricated body is prepared by needling and layering pure net tires sprayed with resin, namely, the prefabricated body is of an alternate overlapping structure of net tire layers and resin layers, and the resin layers can play a mechanical supporting role between the net tire layers, so that the mechanical property of the integrated crucible prefabricated body prepared on the basis of the single-layer structure of the pure net tires is improved, and the service life of the prefabricated body is prolonged. In addition, the structure of the prefabricated body can be hardened and not prone to deformation, transportation and storage are more facilitated, the pure net tire layer which is uniform and isotropic serves as the inner surface of the integrated crucible prefabricated body, certain roughness and uniform apparent mass are achieved, preparation of a subsequent functional coating is facilitated, and the service life of the prefabricated body is prolonged. In addition, the bonding performance of the functional coating and the crucible base body is improved, and the problem that the service life of a crucible product is affected due to the fact that the functional coating is prone to falling off is solved.

The invention relates to a preparation method of a composite material box body with an inner boss, in particular to a preparation method of a SiC / SiBCN ceramic matrix composite material box body with an inner boss. In order to overcome the defects that in the prior art, the preparation process of a composite box body with an inner boss is complex, holes are formed in areas with different thicknesses, and hole filling fiber bundles are prone to deformation and dislocation after being pressed, so that the structure is unstable. The preparation method of the SiC / SiBCN ceramic matrix composite box with the inner boss sequentially comprises the steps of SiC fiber prefabricated body preparation, high-temperature treatment, boron nitride interface layer preparation, Si3N4 matrix deposition, SiBCN matrix preparation, Si3N4 matrix deposition and the like, the SiC fiber prefabricated body is prepared from a U-shaped prefabricated body, a concentric-square-shaped prefabricated body and an exterior prefabricated body, and the stability of the mounting boss is improved.

The invention relates to a dynamic test parameter optimization method and device for a material test and computer equipment. The method comprises the steps of obtaining an experiment target of a material experiment and an experiment process of the material experiment, and generating initial experiment formula parameters of the material experiment through a formula parameter optimization strategy; executing the material test through the experiment process based on the initial experiment formula parameters to obtain current experiment data, and identifying experiment abnormal information of the material test through an experiment dynamic analysis strategy based on the current experiment data; and on the basis of the experiment abnormal information, through an experiment parameter optimization strategy, generating current optimization experiment parameters of the material experiment, replacing the initial experiment formula parameters with the current optimization experiment parameters, and returning to execute the above steps until the material experiment is completed. By adopting the method, the experiment efficiency of a material experiment can be improved.

The invention discloses an adaptive path training system and method based on capability evolution prediction, and the system comprises a data collection module which is used for collecting the real-time behavior data of a target training object in a training process; the capability state construction module is used for constructing capability state data according to the real-time behavior data; the capability trajectory prediction module is used for performing capability evolution prediction on the capability state data according to a preset time sequence prediction model to obtain a behavior evolution trajectory sequence; the training path generation module is used for constructing a target function on the basis of a preset training task set according to the behavior evolution trajectory sequence and in combination with training time and training cost, and solving the target function on the basis of a preset strengthening algorithm to obtain an optimal training path; and the training execution module is used for sequentially executing the corresponding training tasks based on the optimal training path. The technical problem that in the prior art, a training path is fixed, and a training object cannot be dynamically adjusted is solved.

The invention provides an image splicing method and device, electronic equipment and a storage medium, and relates to the technical field of microscopic imaging. Comprising the following steps: determining an overlapping region between a first cell image and a second cell image to be spliced; performing intra-region division on the overlapped region to obtain a target processing region; according to the target processing area, the pixel information of the first cell image and the pixel information of the second cell image, accumulated cost information of each pixel point in the target processing area is determined; determining associated pixel points corresponding to the pixel points according to the accumulated cost information of the effective neighborhood pixel points corresponding to the pixel points; and determining a target splicing position in the overlapping area according to the end point pixel point in the target processing area and the associated pixel points corresponding to the pixel points. Based on the method, a better splicing position can be determined, seamless splicing of the image is satisfied, cells are not cut, and the problem of repeated cells in the spliced image caused by cell movement is reduced.

This invention discloses a method for classifier parameter identification based on Extreme Learning Machine (ELM). Step 1: Divide the classification dataset into training and test datasets. Step 2: Construct an ELM model and use a modified whale optimization algorithm to obtain the optimal initialization parameters for the multi-novel ELM. Step 3: Train the ELM model online using the training dataset, evaluate the model using the structural risk loss function, identify and update the output weights, and complete the classification training of the obtained dataset to refine the ELM model parameters. Step 4: Input the test dataset to be classified into the multi-novel ELM model trained online in Step 3, and identify the category of the test dataset online. If new data is input, repeat Step 3 to classify the newly input classification dataset. This invention improves the classification accuracy of the ELM model.