19results about How to "Reduce depth" patented technology

The purpose of this disclosure is to provide a semiconductor wafer that can suppress the shrinkage of the diameter of the convex shape portion by providing cutouts on the outer peripheral surface and the convex shape portion of the semiconductor wafer, and a method for manufacturing the semiconductor wafer. The semiconductor wafer involved in this disclosure has a first surface and a second surface opposite to the first surface. The first surface has a first main surface and a surrounding surface that surrounds the first main surface via a stepped surface and is recessed from the first main surface towards the second surface. A first cutout is provided in a circumferential portion of the stepped surface connecting the first main surface and the surrounding surface, and a second cutout is provided in a circumferential portion of the outer peripheral surface connecting the second surface and the surrounding surface. The first cutout is in the shape of a positioning edge, and the second cutout is in the shape of a notch.

The invention relates to the technical field of computer vision and coal mine intelligent mining, and discloses a lightweight working face three-dimensional reconstruction method and device fusing geometric prior constraints, and the method comprises the steps: firstly screening a dynamic effective region based on a projection relation and texture features, and removing static redundant scenes; performing sparse visual reasoning and depth regression only for the effective area to generate an initial depth map; carrying out physical structure correction on the depth map by utilizing geometric priori such as vertical upright posts and parallel top plates of the hydraulic support; and finally, constructing an optimization objective function containing deviation constraints of the vertical column perpendicularity and the top plate parallelism, and completing high-precision fusion of the incremental point cloud. According to the method, inference delay is reduced by reducing invalid calculation, structural distortion and registration drift caused by an underground severe environment are effectively inhibited by using a geometric law, and real-time and high-fidelity reconstruction of a working face scene is realized.

The invention discloses a preparation method of a carrier plate structure, the carrier plate structure and a semiconductor packaging structure. The preparation method of the support plate structure comprises the following steps: providing a support plate, wherein the support plate is provided with a first surface and a second surface opposite to each other in a first direction; modifying the support plate at a part of positions by using a laser induction process from one side of the support plate in the first direction, so that the support plate is provided with a modified area and a non-modified area, and the sizes of the modified area and the non-modified area in the first direction are equal to the size of the support plate in the first direction; performing etching treatment on the first surface in the modification area to form a first hole section which does not penetrate through the carrier plate; preparing a first conductive structure in the first hole section; performing etching treatment on the second surface in the modification area to form a second hole section communicated with the first hole section; and at least preparing a second conductive structure electrically connected with the first conductive structure into the second hole section.

This invention discloses a method for rapidly adjusting the furnace conditions of a lean-burn electric arc furnace, belonging to the field of pyrometallurgical nickel smelting technology. The method includes: measuring the height of the frozen layer inside the lean-burn electric arc furnace; when the frozen layer height is greater than 650 mm, simultaneously implementing coordinated control operations to reduce the slag oxidation depth (making the converter slag magnetic iron content <25%) and increase the reducing agent addition rate of the lean-burn electric arc furnace; after adjustment, measuring again, if the frozen layer height is less than 600 mm, restoring to normal process parameters; otherwise, repeating the adjustment until the target is met. This invention establishes a rapid response and upstream-downstream coordination mechanism based on the frozen layer as a criterion, which can effectively reduce the magnetic iron content in the slag, quickly eliminate excessively thick frozen layers, significantly improve slag fluidity, and ensure the stable and efficient operation of the lean-burn electric arc furnace system.

The application discloses a loess drilling core image-based lithology and sedimentary facies identification and layering method, and aims to solve the problems that loess drilling cores have broken cores, missing sections, insufficient recovery rates, and that core box segmented shooting and splicing result in difficulties in automatic alignment of core images and well depth, accurate positioning of layering boundaries, and continuous output of the layering boundaries. The application obtains a core image set and well depth metadata, performs image preprocessing and splicing according to the core box sequence, and establishes an image position coordinate sequence. Image coding network and metadata coding network are used to extract features and generate an alignment feature sequence through cross-modal fusion of cross-attention Transformer. A depth mapping function that satisfies a monotonic increasing constraint is solved under the constraints of a starting well depth, a terminal well depth, a coring recovery rate and a depth marker point, so as to realize the mapping of the image position to the real well depth. Then, the image features are aligned to the well depth sampling points, and a lithology and sedimentary facies probability sequence is output. Finally, the final layering boundary is determined under the constraints of a minimum layer thickness and adjacent layer section category transition, so as to realize the continuity constraint output of the layering result and improve the alignment accuracy and layering reliability.

The invention relates to a rectangular coordinate-to-polar coordinate conversion method and device based on an LUT and CORDIC hybrid architecture. The method comprises the following steps: S1, sector folding preprocessing; s2, performing coarse rotation iteration; s3, generating a dynamic address; s4, a compression lookup table is queried; and S5, data compensation and reconstruction. According to the method, a small amount of CORDIC iteration is introduced to rotate the input vector to a very small angle range, so that the input space required to be covered by a subsequent lookup table is greatly compressed; meanwhile, the bit width and the address depth of a storage value in the LUT are remarkably reduced by combining module value residual storage and a dynamic truncation technology, so that the storage resources of the LUT are greatly reduced on the premise of ensuring the precision, and the hardware implementation cost is lower.

The present application belongs to the technical field of image processing, and in particular to a multi-scale attention weak light image enhancement method and system. The present application comprises the following steps: step 1, constructing a network model: constructing a multi-scale attention weak light image enhancement network model, which comprises a decomposition network, a reflection image restoration network, and an illumination image enhancement network; step 2, preparing a data set: using the LOL-v1 data set to divide the training set and the test set and to perform preprocessing; using the LOL-v2 data set to fine-tune the model; step 3, training the network model: inputting the LOL-v1 data into the network for training until the preset training number or the loss function reaches the standard step; step 4, fine-tuning the model: using the second weak light image data set to further train and fine-tune the network model; and step 5, saving the model: solidifying and saving the final model parameters to realize the conversion output of weak light images into high-quality images. The present application designs an efficient multi-scale attention enhancement network for improving the performance of image features. This method can significantly improve the quality and clarity of the image, making the illumination and reflection details more distinct.

A quantum computing method is provided. The quantum computing method includes providing a physical quantum system (1) comprising components (2). The quantum computing method includes performing an encoded quantum computation (7) on the physical quantum system (1), including: preparing at least a portion of the physical quantum system (1) in an initial quantum state; evolving the physical quantum system (1) to a final quantum state; measuring at least a portion of the physical quantum system (1) to provide a readout value; and determining the output of the encoded quantum computation (7) based on the readout value. During at least a portion of the encoded quantum computation (7), the quantum state of at least a subset of the components (2) is an encoded quantum state according to the encoding. Evolving the physical quantum system (1) to the final quantum state includes performing: a plurality of encoded evolution steps (105) for changing the encoding of the components (2), and a plurality of algorithmic evolution steps (106) for at least a portion of the action of at least one of a plurality of instructions (61, 62) for physically implementing a quantum algorithm (6) under the current encoding. At least some of the multiple coding evolution steps (105) and at least some of the multiple algorithm evolution steps (106) are performed according to an alternation sequence, which alternates between the coding evolution steps (105) and the algorithm evolution steps (106). At least one coding evolution step (105) in the alternation sequence includes performing a set of parity coding operations (75). Each parity coding operation (75) in the set of parity coding operations (75) is performed on a corresponding subset comprising at least two components (2). Each parity coding operation (75) in the set of parity coding operations (75) encodes the parity of all components (2) in the corresponding subset comprising at least two components (2) into at least one component (2) of the subset. At least one algorithmic evolution step (106) in the alternating sequence includes performing at least one algorithmic action operation (74) on at least one component (2), wherein the at least one algorithmic action operation (74) physically implements at least a portion of the action of at least one of the multiple instructions (61, 62) of the quantum algorithm (6) under the current encoding of the component (2).

The application discloses an exhibition stand and belongs to the technical field of exhibition stands. The exhibition stand comprises a storage table, a fence assembly, a supporting column and a lifting support. The storage table is provided with a cavity. The storage table is provided with a sandwich layer. The fence assembly is at least partially accommodated in the sandwich layer. The supporting column is installed on the storage table. The lifting support is located above the storage table. The lifting support is slidably connected to the supporting column along the axial direction of the supporting column. The lifting support is connected with the fence assembly. When the lifting support is moved upward and away from the storage table, the fence assembly can be pulled to move out of the sandwich layer, so that the fence assembly is lifted from the edge of the cavity of the storage table, thereby increasing the depth of the cavity of the storage table. When the lifting support is moved downward and close to the storage table, the fence assembly can be pulled to move into the sandwich layer, so that the fence assembly is lowered from the edge of the cavity of the storage table, thereby reducing the depth of the cavity of the storage table. The exhibition stand has adjustable cavity depth and good versatility.

This invention relates to the field of grounding angle steel construction technology and provides a construction device for grounding angle steel of roadbed contact network foundation. The device includes a telescopic base frame, with main trusses fixedly connected to the four corners of the upper surface of the telescopic base frame. Folding ground anchors are symmetrically hinged to both sides of the telescopic base frame. A telescopic top frame is fixedly connected to the top of the main truss. A horizontal positioning device is fixedly installed on all four sides of the telescopic top frame. Folding handles are symmetrically hinged to both sides of the telescopic top frame. A protective net is installed at the bottom of the telescopic top frame. Guide components are installed inside both the telescopic base frame and the telescopic top frame. This construction device for grounding angle steel of roadbed contact network foundation can automatically drive the grounding angle steel by striking it with a hammer and buffer pad as the hollow tube moves downwards. This reduces the problem of unsatisfactory angle and depth when manually driving the grounding angle steel, improves the construction efficiency, and ensures the quality after construction.

The application discloses a lightweight dual-prediction branch semantic segmentation water body extraction deep learning method and system, first, the coding part of the lightweight dual-prediction branch semantic segmentation model is constructed, three convolution blocks in the coding structure are designed based on the visual perception, and high, medium and low resolution feature maps are extracted respectively; secondly, the decoding part of the lightweight dual-prediction branch semantic segmentation model is constructed, the dual-prediction branch is designed, the medium and low resolution feature maps are fused and used as one of the discriminant features, input into one of the prediction branches, the high resolution feature map is input into the other prediction branch, and the maximum confidence of the two prediction branches is used as the final prediction probability; finally, the model is trained by using a satellite remote sensing image labeled data set and the adaptive learning rate. The deep learning model provided in the application can effectively solve the water body extraction in a large range of satellite remote sensing images, and provide an intelligent method for dynamic change monitoring of water resources.

The embodiment of the application provides a display panel, a preparation method of the display panel and electronic equipment, and relates to the technical field of display. The display panel comprises a substrate, a conductive layer, an insulating layer and a first electrode. The conductive layer is located on one side of the substrate, and the conductive layer comprises a conductive trace. The insulating layer is located on a side of the conductive layer away from the substrate, and along a direction parallel to the substrate, the insulating layer comprises a first insulating part and a second insulating part. Along the thickness direction of the substrate, the thickness of the second insulating part is smaller than the thickness of the first insulating part. The second insulating part is provided with a via hole penetrating through the second insulating part. The first electrode is located on a side of the insulating layer away from the substrate, and the first electrode is electrically connected with the conductive trace through the via hole. The via hole exposes part of the conductive trace. The application can reduce the depth of the via hole, so that the first electrode located at the via hole is more flat on the side away from the substrate, and the display effect of the display panel can be improved.

This utility model discloses a coarse crusher, belonging to the field of crusher technology. The coarse crusher includes a shredding box and a support frame. A frame cover is provided above the shredding box, and the frame cover is bolted to the shredding box. A shaft frame is provided above the support frame, and the shredding box is bolted to the shaft frame. Hydraulic push rods are provided on both sides of the shaft frame. To address the problem that the internal liner height of existing coarse crushers is mostly fixed and cannot be adjusted in angle, which makes it impossible to adjust the crusher according to the size and type of waste material during the crushing process, easily leading to material stagnation, this invention addresses this issue. For small-volume waste materials, the damping linkage can be rotated to rotate the baffle upwards, thus shortening the depth between the baffle and the shredding blades and preventing waste accumulation. Conversely, for large-volume waste materials, the baffle can be flipped downwards to increase the depth and allow the waste to better contact the blades.

The application provides a face living body detection method and system for multi-modal feature fusion, and relates to the technical field of face living body detection. The specific method comprises the following steps: synchronously acquiring RGB, infrared and depth images, performing Gabor texture enhancement on the RGB image and completing pixel-level registration with the other two modalities; sending the three modalities of data into a shallow convolutional network respectively to extract basic features; implementing double-branch processing on the basic features of each modality, refining through light-weight convolution compression, highlighting the difference regions through multi-scale maximum pooling, and obtaining dimension-reduced features through fusion; constructing a cross-modal affinity matrix based on cosine similarity to realize feature migration and reinforcement between modalities; after channel and spatial attention weighting, splicing and fusion are performed on the reinforced feature map, and a living body or non-living body discrimination result is output through a classifier. Through cross-modal feature migration and double-branch feature dimension reduction mechanism, the application effectively improves the accuracy and stability of face living body detection in complex attack scenes.

This utility model discloses a sponge bio-rope packing material and a curtain-shaped bio-rope packing material assembly. The sponge bio-rope packing material includes a sponge bio-rope packing material body, around which radially distributed sponge strips are arranged. This utility model processes a sponge into a rope-shaped sponge bio-rope packing material body, with radially distributed sponge strips around it. This increases the surface area of ​​the sponge bio-rope packing material, thereby increasing the bio-loading capacity. Furthermore, the structure of the sponge bio-rope packing material body with radially distributed sponge strips around it increases the surface area of ​​the sponge while reducing the depth of its internal pores from the surface. This allows microorganisms to metabolize in the pores closer to the surface of the sponge, and the resulting metabolites can be flushed out by water, solving the problem of easy clogging and compaction of sponge packing materials. In addition, the radial structure design of the sponge bio-rope packing material body allows for better oxygen penetration, which is beneficial to improving the biological purification effect.

This invention belongs to the field of parts processing technology and discloses a method for processing niobium flange sealing grooves. The method includes the following steps: controlling a cutting tool to cut the niobium flange at the location to be processed in the sealing groove according to a preset method, while continuously pouring coolant onto the cutting tool during the cutting process; and grinding the groove wall using a grinding tool. The preset method includes the following steps: S21, controlling the cutting tool to cut the niobium flange in N segments along the width direction of the sealing groove, with each segment having a cutting width of B and a cutting depth that increases progressively in an arithmetic progression with a tolerance of H; B is 1 / N of the sealing groove width, and H is 1 / N of the sealing groove depth; S22, repeating step S21 N-1 times in a progressively decreasing arithmetic progression until the sealing groove is completed, wherein the tolerance of the number of segments is 1. This method for processing niobium flange sealing grooves can reduce tool wear, extend tool life, and ensure the processing accuracy of the sealing groove.

This invention provides a method for manufacturing a semiconductor structure, specifically relating to the field of semiconductor technology. The manufacturing method includes the following steps: providing a semiconductor substrate, the semiconductor substrate comprising a first interlayer dielectric layer, a second interlayer dielectric layer, and a metal hard mask layer stacked sequentially, wherein a tungsten plug is formed within the first interlayer dielectric layer; performing trench etching on the second interlayer dielectric layer to form a trench, the bottom of the trench exposing the upper surface of the tungsten plug; forming a tungsten carbide layer on the exposed upper surface of the tungsten plug; removing the metal hard mask layer and the tungsten carbide layer; and filling the trench with a metal material to form a metal layer. This invention can effectively improve the problem of copper layer depression, enhancing interlayer interconnect reliability and device yield.

This invention provides an acidic chemical mechanical polishing slurry for gallium arsenide substrates and its application, belonging to the field of chemical mechanical polishing technology. The polishing slurry comprises, by weight percentage, 0.5–5 wt% modified cerium oxide abrasive, 0.1–3 wt% peracetic acid, 0.05–2 wt% urea peroxide, and the balance deionized water, with a pH value of 3.0–5.0; wherein the modified cerium oxide abrasive is nano-cerium oxide particles with surface-grafted organic acid functional groups, with an average particle size of 20–80 nm. The acidic chemical mechanical polishing slurry for fine polishing of gallium arsenide substrates provided by this invention, by employing a dual oxidant system composed of peracetic acid and urea peroxide, combined with modified cerium oxide abrasive with surface-grafted organic acid functional groups, balances surface reaction stability, abrasive dispersibility, and low-load mechanical removal requirements under acidic conditions, thereby helping to reduce surface scratches, particle residue, and subsurface damage depth, and improving the surface integrity of gallium arsenide substrates after fine polishing.