7 results about "Dark band" patented technology

To provide a bearing wall member and structural face material that can make rain stains less noticeable.SOLUTION: A bearing wall member 1 comprises: a structural face material 10 and a base frame 30 to which the structural face material 10 is fixed by nailing. A dark-colored band portion 11, darker than the face material, is formed on a lower edge portion of the structural face material 10. A nailing line 13 indicating a nailing interval is formed on the dark-colored band potion 11. Furthermore, a nailing position guide 12 is formed on a surface of the structural face material 10 to guide a nailing position. The nailing position guide 12 comprises: a side edge guide vertical line 15 extending along both right and left side edges of the face material; a middle guide vertical line 16 extending vertically in a middle section in a width direction; and multiple preliminary guide vertical lines 17 arranged at predetermined intervals in a width direction between the side edge guide vertical line 15 and the middle guide vertical line 16.SELECTED DRAWING: Figure 1

The invention provides a cerebral trauma semi-dark band image segmentation method and device, equipment, a medium and a product, and the method comprises the steps: obtaining at least two modal magnetic resonance images, inputting the at least two modal magnetic resonance images into a trained feature fusion module for fusion, and obtaining a fusion image; and inputting the fused image into a trained segmentation module for image segmentation to obtain a cerebral trauma semi-dark band region. According to the invention, the automatic identification of the cerebral trauma penumbra region is realized, and the identification efficiency of the cerebral trauma penumbra region is improved.

The application provides a method for simulating dark area color strip noise by low-light enhancement training data, wherein the luminance range of a dark area is extracted on a dark image, and according to the range, noise is randomly generated by simulating the distribution of color strip noise of a real scene on the RGB three channels of the dark area of the dark image. The method solves the problem that the model training cannot adapt to the denoising requirement of a real dark-light scene, and reduces the cost of collecting real training data. The method comprises the following steps: S1, image pre-statistics; S2, image light and dark partition; S3, dark area luminance statistics; S4, noise image template generation; S5, noise generation; S6, image splicing, and noise synthesis is completed.

The present application discloses a kind of multilayer light diffusion plate and its preparation method.The multilayer light diffusion plate includes a main layer and a half-transmission half-reflection layer.The light exit surface of the multilayer light diffusion plate is the top surface of the main layer, and the light entrance surface is the bottom surface of the half-transmission half-reflection layer.The half-transmission half-reflection layer is located below the main layer and is composed of a plurality of first substrate layers and a plurality of second substrate layers stacked alternately.The materials of the first substrate layers and the second substrate layers have different refractive indices.The light entrance surface of the light diffusion plate is provided with a half-transmission half-reflection layer, which can partially transmit and partially reflect the linear light source intensity of the LED light source module below, thereby reducing the bright-dark band between LEDs and achieving the effect of uniform light.In addition, the half-transmission half-reflection layer composed of a plurality of first substrate layers and second substrate layers with different refractive indices stacked alternately is provided on the light entrance surface of the light diffusion plate by extrusion molding, which is relatively simple and low in cost.

An artificial intelligence (AI) device and methods for recognizing wind along a projectile trajectory path by recognizing winds effect on a string. The string is the teacher. Embodiments include a deep learning model implemented as convolutional neural networks to detect a string and identify wind direction and speed along at least a segment of the projectile trajectory path to a target. The AI is trained with images (photos and or video) and / or audio recordings of strings as well as wind direction and speed at number of points along the projectile trajectory path. One embodiment supports the string with a rod having a predetermined pattern of dark bands and light bands. The trained, portable AI device recognizes a string in real time. When optimum wind speed is sustained for brief time, a green light is illuminated. An aiming point is adjusted for range and crosswind.

The present invention relates to the field of ultrasonic testing technology, and in particular to an ultrasonic intelligent testing method and system for forgings. The method comprises: determining an ultrasonic scanning mode of a scanner based on a structural evaluation value; performing ultrasonic testing on the forging to obtain a reflection waveform diagram and a C-scan view of the forging; obtaining a scanning fluctuation rate and a dark band similarity based on the C-scan view; and, when it is determined that the ultrasonic testing of the forging does not meet the standard based on the peak interval dispersion, performing a secondary determination based on the scanning fluctuation rate whether the ultrasonic testing of the forging meets the standard, or determining the reason why the ultrasonic testing of the forging does not meet the standard based on the dark band similarity. The system comprises: an ultrasonic testing module; a structural parameter acquisition module; a data acquisition module; a mode selection module; and a control module for determining whether the ultrasonic testing of the forging meets the standard based on the peak interval dispersion. The present invention improves the accuracy of ultrasonic testing.

An optical device for an augmented reality (AR) device is provided that mitigates dark band issues. The optical device includes a waveguide, a first in-coupling element to receive light and couple a first portion of the light into the waveguide and toward an expansion element. A second portion of the light is not coupled into the waveguide. The expansion element directs the first portion to an out-coupling element. Further, a re-coupling element receives a third portion of the light and directs the third portion of the light to a second in-coupling element, where the third portion includes some or all of the second portion. The second in-coupling element couples a fourth portion of the light into the waveguide and toward the out-coupling element, where the fourth portion includes some or all of the third portion. The out-coupling element receives the first portion and the fourth portion and couples the light out of the waveguide.