4results about How to "Improve enhancement efficiency" patented technology

The invention provides a chopped-continuous fiber composite reinforced repairing composite material and a construction method thereof.The chopped-continuous fiber composite reinforced repairing composite material comprises a low-fiber-mixing-amount layer, a medium-fiber-mixing-amount layer and a surface layer which are sequentially arranged, the low-fiber-mixing-amount layer and the medium-fiber-mixing-amount layer both contain chopped reinforced fibers, and the chopped reinforced fibers are at least one of PVA fibers and PE fibers; the low-fiber-mixing-amount layer contains 0.08%-0.3% of chopped reinforced fibers, the medium-fiber-mixing-amount layer contains 0.15%-0.6% of chopped reinforced fibers, the surface layer contains synthetic fiber untwisted yarn three-dimensional fabric, and the thickness of the synthetic fiber untwisted yarn three-dimensional fabric ranges from 3 mm to 5 mm. By adopting the bottom, middle and surface three-layer gradient structure, dense fibers are configured on the surface with larger stress, so that the reinforcing efficiency of the fibers can be improved, the structure repairing effect can be improved, and the phenomenon that a repairing layer swells due to the fact that synthetic fibers are difficult to disperse and agglomerate is avoided.

The invention provides a preparation method of a preset continuous fiber ultra-high performance cement-based material, which comprises the following steps: S1, manufacturing a mold according to a cement product, winding a steel fiber on a steel wire roller, enabling the starting end of the steel fiber to sequentially penetrate through a left perforated plate and a right perforated plate, fixing the left perforated plate, moving the right perforated plate to the right end of the mold, and fixing; s2, steel fiber ends on the outer side of the right perforated plate are bent and fixed through a right bent pressing plate, steel fibers are tightened, then steel fiber ends on the outer side of the left perforated plate are bent and fixed through a left bent pressing plate, a steel wire roller is loosened, the steel fibers fixed by the left perforated plate are cut off, and a preset steel wire array is obtained; and S3, pouring a high-strength cement matrix into the mold, and curing to obtain the preset continuous fiber ultra-high-performance cement-based material. According to the method for presetting the steel fibers, the steel fibers can be accurately positioned and synchronously and uniformly stressed, so that the quality of the cement-based composite material is guaranteed, and the performance of the cement-based composite material is effectively improved.

The invention discloses an image enhancement method and device based on adaptive gamma correction, equipment and a medium, and relates to the technical field of image processing. The method comprises the following steps: constructing a back-propagation neural network, and determining an initial weight and an initial threshold value of the back-propagation neural network by using a particle swarm model, so as to carry out model training on the back-propagation neural network according to the initial weight and the initial threshold value to obtain a back-propagation neural network model; inputting a to-be-enhanced magnetic resonance image into the back-propagation neural network model, and obtaining an image pixel difference value of the to-be-enhanced magnetic resonance image according to the output of the back-propagation neural network model; and determining a target gamma value corresponding to the magnetic resonance image to be enhanced based on the image pixel difference value and a preset target weight, and performing gamma correction on the magnetic resonance image to be enhanced according to the target gamma value to obtain an enhanced magnetic resonance image. The image enhancement effect can be improved, and the image enhancement efficiency is improved.

This invention relates to the fields of artificial intelligence and fintech, and discloses an image enhancement method, apparatus, device, and storage medium. The method includes: acquiring a preset low-light image; segmenting the preset low-light image to obtain a first segmentation result; selecting a component image from the first segmentation result as a preset component image; combining the preset component image and its corresponding normal-light image into sample data; training a generative adversarial network (GAN) based on the sample data; when the total loss value meets a preset condition, saving the trained GAN; acquiring a current low-light image; segmenting the current low-light image to obtain a second segmentation result; selecting a component image from the second segmentation result as the current component image; and generating an enhanced current component image using the generator in the trained GAN. This invention is beneficial for improving the enhancement efficiency of the current component image.