18results about How to "Reduced characteristics" patented technology

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.

This utility model relates to a PE foam car cargo box mat, comprising: a base plate, an insert groove inside the base plate, multiple sets of mounting holes on both sides of the bottom of the insert groove, six sets of positioning slots on both sides of the top of the base plate, a set of snap-fit ​​components on both sides of the inner wall of the positioning slots, a set of limiting slots on both sides of the inner wall of the insert groove between adjacent sets of positioning slots, multiple mat body parts inserted into the insert groove at positions corresponding to the limiting slots, pressure plate grooves on both sides of the top of the mat body and at the center of the mat body, multiple sets of positioning insertion holes at the bottom of the pressure plate grooves on both sides, and a pressure plate bracket inserted into the top of the base plate above the mat body. The beneficial effects of this utility model are: the design facilitates the disassembly and replacement of damaged areas of the mat, enhancing overall practicality.

This invention relates to the field of image restoration technology, specifically disclosing an image restoration method and device based on discrete wavelet transform. An image restoration network, called Multi-Wavelet Attention Memory Neural Network (MWA-MNN), is designed, consisting of three sub-networks. These sub-networks include Discrete Wavelet Attention Blocks (DWABs) and Coordinate Channel Attention Blocks (CCABs) to extract spatial and channel feature information, effectively separating degraded image layers such as rain streaks from the image to obtain a clean image. The invention leverages the expressive power of wavelet transform for high-frequency information, thereby improving image restoration performance. The sub-networks also include Supervised Selective Kernel Blocks (SSKBs) for filtering effectively extracted features in each sub-network. This invention also proposes a memristor-based cross-array MWA-MNN circuit implementation scheme. Memristors are a novel type of non-volatile memory with faster read speeds and lower power consumption. Experimental results show that this method has good performance and versatility in various image restoration tasks.

The invention discloses a concrete mixing quality prediction method based on mixing condition self-adaption and an AI model, and belongs to the technical field of concrete mixing quality prediction, and the method comprises the following steps: collecting batch working condition information related to a concrete mixing technology and a multi-source process signal in a mixing process, judging the working condition type of the current batch, and determining the working condition type of the current batch; determining feature normalization parameters of the current batch, performing feature extraction on the collected multi-source process signals according to process stages to obtain normalized feature expression, constructing the normalized feature expression and batch working condition information as feature input of the current batch, and inputting the feature input into an artificial intelligence model to obtain an artificial intelligence model; and obtaining a prediction result including the concrete quality index set. According to the method, the problems that the cross-working-condition generalization ability is insufficient, the dependence on calibration data is relatively strong, and the output stability and the engineering suitability need to be improved in an engineering scene with complex working condition fluctuation, process event disturbance, equipment difference and long-term drift are solved.

This invention provides a fault detection method and system based on low-rank decomposition and common trend decoupling. The method first acquires historical process data under normal operating conditions of an industrial process as training data. Then, it decomposes the training data into clean data representing the main structural information and sparse noise data representing noise interference using low-rank decomposition. Next, it constructs a common trend learning model based on the clean data, reconstructs the non-stationary common trend, and uses the residual between the clean data and the non-stationary common trend as a stationary feature. Decoupling is achieved by applying stationarity constraints. Further, a fault detection model is obtained through joint optimization. In the detection stage, the process data to be detected is input into the model, and monitoring statistics based on the reconstruction error of the stationary feature and the common trend are constructed respectively. The result of the control limit comparison determines whether a fault has occurred, thereby improving the robustness of fault detection in non-stationary industrial processes.

The utility model provides a kind of for special-shaped vacuum bag of special-shaped mould, the special-shaped mould includes the mould cavity of trapezoidal cross section;The special-shaped vacuum bag is set on the mould cavity and seals the mould cavity;The cross-sectional shape of the special-shaped vacuum bag includes the main body structure of convex letter shape, and the main body structure includes sequentially arranged from top to bottom center protruding portion, lateral recess portion and base portion.The special-shaped vacuum bag provided by the utility model can meet the requirement of air tightness and vacuum keeping when applied to special-shaped mould, ensure the forming quality of composite material, avoid bubble, void and other problems.

This invention relates to the field of cable defect identification technology, solving the technical problems of low accuracy in cable defect identification caused by gradient diffusion and feature degradation in existing deep networks, which lead to loss of edge details and difficulty in effectively extracting true weak thermal deformation features. Specifically, it relates to a method for identifying surface thermal deformation defects in extruded insulated low-voltage fire-resistant cables. The method acquires a visual image of the cable surface in the extrusion cooling state and a one-dimensional temporal physical signal, preprocesses the surface visual image to obtain a standard image, and uses a weighted gradient edge detection algorithm to construct templates in multiple directions to perform edge detection on the standard image. This invention reduces the probability of network parameter combinations getting trapped in local optima during model training, lowers false positive and false negative rates, improves the classification accuracy of cable surface thermal deformation defects, and meets the high-precision and high-robust defect detection requirements of extruded insulated low-voltage fire-resistant cables.

This invention relates to the application of AMPA receptor antagonists in the preparation of drugs for treating peritoneal metastases of gastric cancer, belonging to the field of biomedical technology. This invention discloses the application of GRIA2 as a drug target in the preparation of drugs for the prevention or treatment of peritoneal metastases of gastric cancer. It discloses the use of AMPA receptor antagonists NBQX and / or Selurampanel in the preparation of drugs for the prevention or treatment of peritoneal metastases of gastric cancer. NBQX and Selurampanel can significantly inhibit the migration, invasion, spheroidization ability, and adhesion to mesothelial cells of gastric cancer cells; in vivo experiments have confirmed that AMPA receptor antagonists can significantly reduce tumor burden and the number of metastatic nodules in a mouse model of peritoneal metastases of gastric cancer. Patient-derived organoid xenograft models further demonstrate that AMPA receptor antagonists have significant efficacy against peritoneal metastases of gastric cancer with high GRIA2 expression. This invention provides a new treatment strategy for peritoneal metastases of gastric cancer.

The present disclosure provides a fluorinated organic silicon modified waterborne polyurethane coating and a preparation method thereof, and belongs to the technical field of port power protection coating. The preparation method comprises the following steps: mixing diisocyanate, oligomeric diol and hydrophilic monomer, adding a catalyst after heating treatment, and stirring to obtain a polyurethane prepolymer; adding a neutralizing agent to the polyurethane prepolymer, stirring uniformly, and obtaining a neutralized prepolymer; adding deionized water to the neutralized prepolymer, shearing and dispersing, and standing to obtain a uniformly dispersed prepolymer; adding fluorinated organic silicon to the uniformly dispersed prepolymer, stirring and reacting, adding a chain extender, and stirring and reacting to obtain a fluorinated organic silicon modified waterborne polyurethane emulsion; coating the fluorinated organic silicon modified waterborne polyurethane emulsion into a mold, drying, and obtaining a fluorinated organic silicon modified waterborne polyurethane coating film, so as to endow the waterborne polyurethane coating with weather resistance and aging resistance in a high-humidity and high-temperature, high-ultraviolet environment of a coastal port.

This invention belongs to the field of free-space laser communication technology, specifically disclosing a second-level anti-disturbance link establishment method and ground simulation system for inter-satellite laser communication. The method includes: using an inverse dynamics feedforward algorithm to compensate in real-time for the inertial coupling torque of the coarse tracking mechanism caused by satellite platform disturbances, achieving inertial spatial stability of the line of sight; employing a spectrum grading and saturation unloading strategy to further suppress line-of-sight jitter caused by satellite platform disturbances through the high-bandwidth operation of the fine tracking mechanism, and unloading low-frequency components to the coarse tracking mechanism to prevent saturation of the fine tracking mechanism; and initiating a high-frequency probabilistic spiral scan at the initial stage of link establishment to achieve rapid target acquisition. This invention solves the problem of lacking efficient anti-disturbance strategies and optimization strategies for second-level rapid response during mode switching from large-scale "blind search" to high-precision "lock-in" in inter-satellite laser link establishment.

This invention discloses a multi-model fusion method and system for permanent magnet motor fault diagnosis, belonging to the field of permanent magnet motor fault diagnosis technology. It aims to improve the flexibility and adaptability of models in multi-task learning and hierarchical classification by introducing multiple Softmax-layer CNNs and fusing them with multiple models, while effectively solving the problems of weak noise resistance and insufficient generalization ability of single models. Specifically, the technical solution of this invention first collects the vibration and current signals of the faulty permanent magnet motor, then uses Markov transfer fields to adaptively enhance the time-domain signals into images. Using a multi-Softmax-layer CNN and XGboost as base learners and an IWOA-SVM model as the meta-learner, a high-precision fault diagnosis result is finally obtained. This invention combines the advantages of multiple Softmax layers and multi-model fusion, effectively solving the multi-task fault diagnosis problem under complex working conditions, and improving the accuracy, reliability, and adaptability of fault diagnosis.

This invention discloses a dual-polarization angle-selective surface structure for reducing radar sidelobes, comprising an upper structure and a lower structure, with an air gap between them. Both the upper and lower structures include a plurality of frequency-selective surface units arranged in an array. Each frequency-selective surface unit includes a dielectric substrate. A first metal resonant unit structure is disposed on the upper surface of the dielectric substrate, and a second metal resonant unit structure is disposed on the lower surface of the dielectric substrate. The first and second metal resonant unit structures are connected through metal vias on the dielectric substrate. This structure can solve the problem that radar sidelobe blanking technology cannot simultaneously reduce radar sidelobes and avoid introducing redundant additional interference sources.

This invention relates to the field of metal environment imaging, and more particularly to an environmental imaging method and apparatus based on millimeter-wave radar. The method includes the following steps: transmitting multi-frequency signals to the metal environment to be detected using a millimeter-wave radar array, and extracting multipath signal sequences; performing interferometric phase analysis based on the multipath signal sequences to obtain the three-dimensional coordinates of the metal and the actual target reflection point; performing iterative forward calculation based on the three-dimensional coordinates of the metal and the actual target reflection point to obtain a first metal environment image; and performing iterative residual convergence on the first metal environment image to output a second metal environment image. This invention achieves high-precision and reliable three-dimensional imaging of complex metal environments.

This invention belongs to the field of molecular biology detection technology, and provides a primer composition, gDNA, probe, and method for detecting amino acid mutation sites in ALS of Amaranthus retroflexus. This invention is the first to construct a method for detecting multiple resistance mutations at multiple sites based on the synergistic effect of multiplex PCR and PfAgo. Through multiplex PCR amplification and PfAgo specific recognition and cleavage, it achieves simultaneous detection and mutation type identification of multiple resistance target sites in the ALS gene of Amaranthus retroflexus. Based on the multiple constraint mechanism of multiplex PCR amplification, PfAgo guided sequence recognition, and fluorescent probe cleavage, it achieves stepwise identification and verification of target sites, exhibiting excellent specificity, sensitivity, and robustness, reducing the risk of false positives, ensuring accurate and reliable results, and requiring no standards for interpretation. It is suitable for rapid and simultaneous multi-site detection of resistance to ALS inhibitors in Amaranthus retroflexus in the field, is simple to operate, and has low cost, providing technical support for resistance monitoring and precision herbicide management.

This application relates to the field of in vitro bioassay technology, and discloses a method for preparing a colloidal gold assay reagent, its product, and its application. The method for preparing the colloidal gold assay reagent comprises five steps: colloidal gold preparation, antibody labeling, double blocking, centrifugal purification, and dilution and reconstitution. In particular, the double blocking process involves a first blocking agent selected from one or more of bovine serum albumin, ovalbumin, and casein; and a second blocking agent selected from one or more of lysine, glycine, alanine, serine, threonine, valine, and asparagine. This allows the prepared colloidal gold assay reagent to achieve high sensitivity and excellent C / T line color development when applied to FSH detection, reducing false positives caused by nonspecific adsorption and improving the accuracy of test results. Its limit of detection (LOD) is as low as 10 mIU / mL, solving the problems of low sensitivity and uneven C / T line color development in existing FSH assays.

The application discloses a tower-shaped calibration board, a camera and laser radar combined calibration method and system, wherein the tower-shaped calibration board is in a tower-shaped structure and is composed of N layers of mutually parallel calibration board planes which are spaced and stacked, the size of each layer of calibration board plane is increased step by step from top to bottom; wherein N is greater than or equal to 2; the center of the N layers of calibration board planes is located on the same plumb line; the layer spacing between adjacent two layers of calibration board planes is adjustable; a plurality of two-dimensional code patterns are printed on each layer of calibration board plane; the number of two-dimensional code patterns on each layer of calibration board plane is increased step by step from top to bottom; each two-dimensional code pattern contains coding information and a plurality of predefined feature points, and the world coordinates of each feature point in the world coordinate system have been calibrated. The execution of the camera and laser radar combined calibration method is based on a kind of tower-shaped calibration board, and through the application, one-time high-precision calibration of camera intrinsic parameters and camera and laser radar extrinsic parameters can be realized.

A multi-beam point cloud target detection method and device based on attention mechanism and geometric prior is disclosed. Belonging to the fields of underwater computer vision and 3D point cloud processing technology, this method includes a two-stage target detection network based on PointNet++. In the first stage, an elevation attention mechanism is introduced to suppress negative ground samples, significantly reducing excessive computational resource consumption and feature redundancy. In the second stage, a local geometric feature enhancement module is introduced to compensate for the loss of structural information caused by feature aggregation in traditional PointNet++ operators, enhancing the model's ability to characterize subtle geometric features and achieving an effective balance between high-precision target recognition and real-time processing performance.

This invention discloses a colorectal cancer stem cell sex-inhibiting polypeptide, its expression vector, and its applications, belonging to the field of bioengineering technology. This invention is the first to discover the crucial role of ZCCHC14 protein in maintaining the characteristics of colorectal cancer stem cells, and based on this, develops an inhibitory polypeptide targeting ZCCHC14. Experiments have shown that this polypeptide can significantly downregulate the expression of colorectal cancer stem cell markers, upregulate the expression of differentiation markers, inhibit the spheroidization ability of stem cells, and significantly reduce EdU incorporation rate, effectively weakening the characteristics of colorectal cancer stem cells, promoting cancer cell differentiation, and inhibiting proliferation. It can be applied to the preparation of anti-colorectal cancer drugs, especially drugs that inhibit the proliferation of colorectal cancer cells, and has significant clinical application prospects.