15results about How to "Resolve differences" patented technology

The invention relates to the technical field of protein prediction, and discloses a protein interaction prediction method based on cross-modal enhanced representation learning. According to the method, a Convform module and a Graphform module are designed, and a global attention mechanism is introduced into each module, so that the limitation that only local features or global features are concerned in an existing method is broken through. According to the design, the model can capture the local mode and the global dependency relationship of the protein at the same time, and more comprehensive protein representation is provided. The invention provides a cross-modal enhancement method based on comparative learning. The problem of difference between a sequence mode and a structural mode is solved through an explicit mode alignment process. The method not only can maintain unique information of each mode, but also can give full play to complementarity among the modes, so that richer protein expression is obtained. The cross-protein fusion module provided by the invention can more accurately capture essential characteristics of protein interaction, and the accuracy of PPI prediction is remarkably improved.

The invention provides an auxiliary pathological analysis method for a microscope system, and belongs to the technical field of pathological analysis, and the method comprises the steps: firstly carrying out the gray normalization, denoising and other preprocessing of an obtained pathological section image, and carrying out the illumination equalization processing through a region adaptive histogram equalization algorithm; then, color features of the image are extracted in an LAB color space, a color representation center is calculated, a feature mapping matrix is established, and meanwhile texture features are extracted and fused with the color features; and carrying out dimension reduction on the fused feature vector by using a principal component analysis algorithm, and reserving important feature information. And then, establishing a convolutional neural network model, inputting the feature vectors after dimension reduction, performing training and cross validation by using a labeling data set, and improving the model performance through iterative optimization. According to the invention, the technical problem that the diagnosis and judgment of a doctor are seriously influenced due to inconsistent color expression caused by the difference of shooting conditions of pathological section images observed by a microscope is solved.

The invention is applied to the technical field of product communication, and discloses an FPGA (Field Programmable Gate Array)-based LCD (Liquid Crystal Display) screen replacement OLED (Organic Light Emitting Diode) system, which comprises an MIPI (Mobile Industry Processor Interface) decoding unit, an RAM (Random Access Memory) image cache unit, a clock recovery unit, a scaling interpolation unit, an output time sequence unit, an MIPI coding unit, a screen command unit and an ADC (Analog to Digital Converter) sampling unit, and the FPGA selected by the system is only Lattice-XO3. According to the FPGA-based system for replacing the OLED with the LCD screen, the problem that the resolution ratios of the LCD screen and the OLED screen are inconsistent is solved by adopting the scaling interpolation unit based on the RAM cache in the FPGA, high flexibility and adaptability are achieved, the system guarantees the quality and integrity of images through accurate interpolation calculation and scaling processing, the visual experience is improved, and the system is suitable for popularization and application. And the user can fully utilize the advantage of high resolution of the OLED screen after replacing the screen, and meanwhile, the problems of image deformation, blurring or incomplete display and the like possibly caused by mismatching of the resolution are avoided.

The invention provides a geographic coding-based investment attraction map drawing method, system and device and a medium, and belongs to the technical field of map drawing, the method comprises the following steps: establishing an enterprise library for an investment attraction area, and carrying out geographic coding on an enterprise address in enterprise information in the enterprise library to obtain an enterprise geographic coordinate; performing address analysis and aggregation on enterprise addresses in the enterprise information to obtain administrative division codes of each level of a region to which an enterprise belongs; performing enterprise information summarization of each level on the administrative division code of each level of the investment attraction area, and storing a summarizing result; and in response to the hierarchical display request of the user, rendering the enterprise information summarized at the corresponding hierarchy for the investment attraction map, and in response to the enterprise display request of the user under the lowest hierarchical display request, performing enterprise position rendering according to the enterprise geographic coordinates. According to the method, through automatic address coordinate conversion and map drawing, the drawing efficiency of the investment attraction map is improved, and the accuracy of the enterprise position is ensured by utilizing the geocoding service.

The present invention provides an anomaly detection method and device for planar geographic entities. The method comprises: constructing and training a fused semantic segmentation model including at least two fused semantic segmentation models set in parallel and using an additive fusion method to fuse the prediction results of each fused semantic segmentation model as a classification prediction result; constructing and training a fused change detection model including at least two change detection models set in parallel and using an additive fusion method to fuse the prediction results of each change detection model as a change prediction result; acquiring image data of a to-be-detected area and planar geographic entity data to be detected, obtaining a to-be-detected data set and a land class label set; inputting the to-be-detected data set into the fused semantic segmentation model and the fused change detection model, obtaining a classification prediction result and a change prediction result; using the classification prediction result to assign category attributes to the change prediction result, obtaining a fused prediction result; and comparing the fused prediction result with the elements with the same name in the land class label set.

The invention provides a WEB application firewall automatic test method and device based on a distributed scheduling mechanism, and the method comprises the steps: enabling a host process to access a preset number of protection websites based on a one-host multi-slave structure of the distributed scheduling mechanism; collecting test cases, and grouping the test cases by the host process; the sub-process is initialized, and the main process distributes the test cases of different groups to work nodes with the same number as the protection websites; the working nodes execute the test cases in parallel, execute the test cases after receiving the test cases sent by the host process, and report test results to the host process; the host process collects a test result; according to the method, the test cases are executed in parallel through a distributed scheduling mechanism, the whole process work is automatically set, the human input of the test is saved to the maximum extent, and the problems that the case construction efficiency is low, and the test efficiency is high are solved. And whether an existing protection module can protect vulnerabilities or not cannot be checked in time.

The present application belongs to the technical field of image processing, and particularly relates to a template matching method based on a twin network and accurate center point positioning. The method comprises the following steps: S1, obtaining a training data set, i.e. a template and a search image; S2, constructing a template matching network based on a twin network and accurate center point positioning, and inputting the training data set of S1 into the template matching network, wherein the template matching network is composed of three parts, i.e. a twin feature extraction network, a dynamic shrink cross-correlation network and a center point positioning network, which are sequentially cascaded; and S3, training the template matching network of S2 by using a loss function. The method can better solve the problem of differences between the template and the search image, effectively improve the positioning accuracy of the target center point and the robustness of the template matching.

The invention discloses automatic positioning tool switching equipment for measurement and inspection of machined products, and the equipment is provided with a tool switching shift-out system, so that the problems of a non-standard positioning base and a specific positioning mechanism can be avoided, the switching of a manual positioning mechanism during the switching of line products is avoided, and the production efficiency is improved. The position precision of the positioning mechanism needs to be repeatedly switched and adjusted according to different products; due to the arrangement of the product tool positioning system, the problem of differences among different product tool positioning systems is solved, the difference tolerance of multiple accessory devices is reduced, and the product quality of a wire body is improved; the switching position, the positioning structure and the working position of the product tool positioning system do not interfere with one another, line body production and product positioning tool same-beat synchronous switching are achieved, and the line body production efficiency is improved. Finally, on the premise that the product positioning tool system meets the positioning precision requirement, according to the line body production scheduling plan, lossless switching of the product positioning tool system is achieved, stable productivity output of the line body is provided, and the line body starting rate is increased.

The invention belongs to the technical field of medical image segmentation, and particularly relates to a consistency semi-supervised pericardial fat segmentation method based on difference guidance. Firstly, a data set is acquired and processed; then, replacing VSS blocks of the Mamb-Unet network one by one by using MCM blocks, and further obtaining a teacher model and a student model; in an MCM block, an input tensor is firstly equally divided into two tensors # imgabs0 # and # imgabs1 # in a channel dimension; after the tensor # imgabs2 # is sequentially subjected to convolution, activation and convolution and activation operation, the tensor # imgabs2 # and the tensor # imgabs2 # are subjected to jump connection, and a tensor # imgabs3 # is obtained; processing the tensor # imgabs4 # through two information flow branches to obtain a tensor # imgabs5 #; the tensor # imgabs6 # and the tensor # imgabs7 # are spliced and subjected to convolution, and then jump connection is carried out on the tensor # imgabs6 # and the tensor # imgabs7 # and the input tensor in the MCM block to obtain the output tensor of the MCM block; and finally, performing semi-supervised training on the collaborative mean teacher model based on difference fusion, and using the trained teacher model as a segmentation model for segmentation of pericardial fat. The model pays more attention to fuzzy regions and boundary information of pericardial fat, and the segmentation precision is improved.

The present application relates to a kind of multimodal image fusion methods of inverse diffusion model, comprising the following steps: step one, using inverse diffusion technology, visible light image is reversed to noise latent space, then using the feature of reversed visible light image, guide infrared image is reversed;Step two, guide by the inverse process in diffusion model, inject the appearance attribute of visible light into infrared feature, and the feature can generate infrared image with visible light style;Step three, design specific fusion rule, for the attention layer fusion of denoising process, reversed visible light and infrared feature are fused, the text interaction capability of model is retained, and language-driven fusion control is supported.The present application can directly generate high-quality fusion image without additional training or fine-tuning.The obtained fusion image is highly compatible with the base model, effectively solves the difference problem between data domains, and significantly improves the performance of downstream machine perception tasks.The present application significantly reduces the training cost, and provides an efficient and innovative solution for cross-domain tasks.

The application discloses a ground station and satellite link alignment and pattern generation method and system, wherein the method comprises the following steps: acquiring a radiation power threshold of a ground transmitting source and determining a satellite position reference signal, and converting to a ground coordinate system to obtain preliminary pointing parameters. Based on the preliminary pointing parameters, a servo mechanism is driven to scan and search for an angle position corresponding to a maximum receiving level, accurate pointing coordinates are determined, and the ground transmitting source beam is accurately pointed to the satellite. In the state that the ground transmitting source beam is accurately pointed to the satellite, the radiometer pointing angle in the satellite platform coordinate system is determined according to the geographical position information of the ground transmitting source, the satellite-borne radiometer beam is driven to search and adjust, the satellite position is locked, and initial alignment data of the space-earth link are acquired. The radiometer scanning range is extracted from the initial alignment data of the space-earth link, and the radiometer beam is driven to perform search scanning. Therefore, the application improves the accuracy of in-orbit antenna performance evaluation.

The invention relates to the technical field of data processing, in particular to an Excel report data and system data matching settlement processing method, system and device and a storage medium. According to the method, a unified field format model is constructed by obtaining template configuration content including a field format rule, a header mapping rule and a matching field rule, and header identification, field mapping and format normalization processing are performed on an Excel report to obtain standardized report data. And generating a unique matching identifier based on the matching field rule, comparing the unique matching identifier with the system data one by one to obtain a matching result, and generating a standard identifier according to a standard condition. Further performing question marking on the unmatched or abnormal records to form question records, and finally generating a settlement processing report based on the matching result, the standard mark and the question records. According to the invention, accurate matching and abnormity pre-recognition of report data and system data are realized, and the accuracy, efficiency and traceability of settlement processing are improved.

The application provides a photovoltaic IV data processing method and device, electronic equipment and storage medium. The method comprises the following steps: acquiring IV data obtained by scanning a target photovoltaic module in a target period; performing normalization processing on the IV data according to one of at least one preset normalization mode; the at least one preset normalization mode comprises a normalization mode based on a selected standard IV curve of the target photovoltaic module; wherein the selected standard IV curve is a standard IV curve of the target photovoltaic module corresponding to the irradiance value of the target period corrected by a preset correction mode, and the preset correction mode is a correction mode for correcting the irradiance value collected by an irradiance meter according to the angle parameter of the target photovoltaic module. The application can improve the diagnosis effect of the photovoltaic module.

The invention discloses a soil covering device for sugarcane interplanting tartary buckwheat cultivation, and relates to the technical field of soil covering, the soil covering device comprises a soil covering machine body, the soil covering machine body is fixedly connected with a soil covering cover, the lower portion of the soil covering cover is fixedly connected with first inclined plates symmetrically distributed along the soil covering cover, and the first inclined plates are fixedly connected with second inclined plates symmetrically distributed along the soil covering cover. The lower portion of the soil covering cover is fixedly connected with second inclined plates symmetrically distributed along the soil covering cover, a first discharging port is formed between every two adjacent second inclined plates, a second discharging port is formed between every two adjacent first inclined plates and second inclined plates, and a screen shoe is fixedly connected between every two adjacent first inclined plates and second inclined plates. According to the sugarcane and tartary buckwheat interplanting device, shunting of covering soil is controlled through the screen frame, so that more covering soil is obtained for sugarcane seeds, less covering soil is obtained for buckwheat seeds, the problem of covering soil difference during sugarcane and tartary buckwheat interplanting cultivation is solved, the field management difficulty is reduced, and the overall planting effect is improved.

The invention relates to the technical field of intelligent traffic management and natural language processing, and discloses a Text2SQL-based traffic control agent question and answer method and system, and the method comprises the steps: obtaining a natural language query inputted by a user, and extracting at least one query condition from the natural language query; matching the at least one query condition with a preset vector database, and converting the query condition into a standard term in the field of traffic control; based on the standard terms and preset database table structure information, utilizing a large language model to execute Text2SQL conversion, and generating corresponding SQL query statements; and obtaining a query result from the traffic control database according to the SQL query statement and outputting the query result. According to the method and the device, the problems that the preset template cannot cover complex business requirements, the general large model field is misused and logic deviation is caused are solved, and the query accuracy and expandability in the traffic control field are improved.