15 results about "Composite graph" patented technology

This invention provides a method and system for constructing a reliable evaluation dataset for power vision models, belonging to the field of intelligent recognition technology for power vision models. The construction method includes: acquiring collected on-site images and obstacle images; constructing virtual 3D models of power equipment and virtual obstacle models; marking the virtual 3D models and virtual obstacle models to obtain corresponding labels; acquiring multiple images from a virtual perspective on the composite model of the virtual 3D models and virtual obstacle models; determining the positional relationship between the virtual 3D models and virtual obstacles in the images based on the images; and generating a composite image and corresponding composite labels based on the positional relationship, the on-site images, and the obstacle images to form a dataset.

The invention provides a preparation method of a composite patterned substrate, the composite patterned substrate and an LED chip, and the method comprises the steps: forming a plurality of holes in the surface of a sapphire substrate, and carrying out the gluing, exposure and development processing, and obtaining a preset pattern; depositing a SiOF layer on the substrate; removing the preset pattern below the SiOF layer through heat treatment to form a cavity; transferring a pattern on the substrate through a nanoimprint technology; and performing inductively coupled plasma etching to form a composite pattern structure. A cavity structure is formed in a sapphire substrate through laser drilling and heat treatment, the light extraction efficiency of an LED is improved by combining with a composite pattern constructed by a nanoimprint technology and utilizing a multi-interface light scattering effect, the propagation direction of light rays can be guided by combining a patterned structure with a cavity, light emitting angle distribution is optimized, and light emitting is more uniform or the directivity is more concentrated; epitaxial growth stress is released through the cavity, dislocation density is reduced, epitaxial layer cracks are effectively inhibited, and crystal integrity is improved.

This invention provides a method, system, device, and storage medium for smart contract vulnerability detection, belonging to the fields of blockchain security and artificial intelligence technology. It includes extracting an abstract syntax tree, control flow graph, and data dependency graph from the original smart contract code; obtaining a composite graph object based on the abstract syntax tree, control flow graph, and data dependency graph; processing the composite graph object based on node semantics and function call relationships to obtain a hierarchical heterogeneous graph; constructing a heterogeneous graph Transformer network; using a heterogeneous graph Transformer encoder to process the hierarchical heterogeneous graph for encoding node and edge information, obtaining node representation vectors that fuse semantic and structural information; extracting multi-scale features from the node representation vectors; fusing the extracted multi-scale features using learnable weights; and processing the fused multi-scale features using a base classifier cluster to obtain vulnerability type prediction results and confidence levels. This invention achieves full-process optimization from structural modeling and semantic fusion to decision reasoning, significantly improving the accuracy and interpretability of smart contract vulnerability detection.

This invention provides a fully printed flexible photoresponse array and a parallel pattern recognition method, belonging to the field of semiconductor optoelectronic device technology. Firstly, this invention provides a fully printed flexible photoresponse array, including a flexible substrate and multiple differential dual-branch photoresponse pixels disposed on the flexible substrate. Each differential dual-branch photoresponse pixel includes: a common source electrode, a first branch drain electrode, a second branch drain electrode, a first composite channel branch, a second composite channel branch, and a light-shielding layer disposed above the second composite channel branch. Based on a special structural design and connection relationship, this invention solves the problems of insufficient stability in flexible array recognition, significant background light interference, and insufficient utilization of temporal information in existing technologies. Simultaneously, based on the above structure, a parallel pattern recognition method is provided to achieve parallel recognition and memory retention representation of multiple characters, multiple graphic units, or composite patterns.

The invention relates to an antenna array synthesis directional diagram estimation method based on a multi-unit antenna actual measurement directional diagram and application, and the method comprises the following steps: in a standard test environment, measuring an azimuth plane or pitching plane directional diagram of each antenna unit, recording angle gain or power data, and obtaining actual measurement data; establishing a coordinate system, determining antenna reference positions and inter-unit parameters, dividing every two antennas into one group, and scoring groups and parameters; according to the directivity multiplication principle, a double-antenna composite graph computational logic (estimation formula) is established, and data simulation is substituted to obtain a composite graph; and taking the composite diagram as a quasi-unit diagram, and repeating the operation to complete the estimation of the composite directional diagram of the multi-unit antenna array. According to the method, the defects of complex modeling, large calculation amount and poor adaptability of a traditional theory multi-unit antenna array can be avoided, the blank in the prior art is filled, the estimation efficiency and precision can be effectively improved, the requirement for rapid and accurate analysis of the performance of a multi-antenna system in engineering is met, and reliable support is provided for design optimization of the antenna array.

We provide the system. [Solution] A means for the user to select building elements, A means for the server to search the database based on the selected element and retrieve the corresponding image data, A means of displaying image data acquired by the terminal to the user, A means of reflecting user-selected elements onto the drawing, A means for generating a composite drawing based on a drawing reflected by a server, A means by which the terminal displays a composite diagram, A system that includes this.

This invention provides a fully printed flexible photoresponse array and a parallel pattern recognition method, belonging to the field of semiconductor optoelectronic device technology. Firstly, this invention provides a fully printed flexible photoresponse array, including a flexible substrate and multiple differential dual-branch photoresponse pixels disposed on the flexible substrate. Each differential dual-branch photoresponse pixel includes: a common source electrode, a first branch drain electrode, a second branch drain electrode, a first composite channel branch, a second composite channel branch, and a light-shielding layer disposed above the second composite channel branch. Based on a special structural design and connection relationship, this invention solves the problems of insufficient stability in flexible array recognition, large background light interference, and insufficient utilization of temporal information in existing technologies. Simultaneously, based on the above structure, a parallel pattern recognition method is provided to achieve parallel recognition and memory retention representation of multiple characters, multiple graphic units, or composite patterns.

A non-transitory computer readable medium includes stored instructions, which when executed by a processor, cause the processor to acquire a plurality of graphs that model results of a plurality of bug hunting searches for a register transfer level design, wherein the plurality of bug hunting searches determines a design error in the register transfer level design, construct a composite graph using the plurality of graphs, wherein the composite graph models a plurality of causal relationships between a plurality of detected bugs and a plurality of helper properties covered by the plurality of bug hunting searches, and execute an additional bug hunting search whose parameters are configured based on the composite graph.

The application relates to the field of image processing and discloses a power grid wiring diagram composite graph element construction method, system, device and medium. The method comprises the following steps: acquiring a power grid wiring diagram, generating a graph element connection segmentation mask image through a graph element connection segmentation model, and generating a plurality of basic graph element rectangular frames and corresponding basic graph element types through a basic graph element detection model; based on the basic graph element rectangular frames, the corresponding basic graph element types and the graph element connection segmentation mask image, and by using a composite graph element construction algorithm, a refined composite graph element refined frame and corresponding composite graph element types are constructed, and then a power grid wiring diagram recognition result is obtained; and a recognition result list is recorded according to the power grid wiring diagram recognition result, and the recognition result list is saved. The application effectively eliminates the problems of low composite graph element detection rate and high false detection rate in the prior art, significantly improves the recognition accuracy and speed of the composite graph element, and has strong practical value.

A non-transitory computer readable medium includes stored instructions, which when executed by a processor, cause the processor to acquire a plurality of graphs that model results of a plurality of bug hunting searches for a register transfer level design, wherein the plurality of bug hunting searches determines a design error in the register transfer level design, construct a composite graph using the plurality of graphs, wherein the composite graph models a plurality of causal relationships between a plurality of detected bugs and a plurality of helper properties covered by the plurality of bug hunting searches, and execute an additional bug hunting search whose parameters are configured based on the composite graph.

The invention provides a combined image checking method and system for a sorting machine, a computer and a storage medium. The combined image checking method for the sorting machine comprises the steps that a wafer is scanned, a combined image file is formed, a plurality of preset verification coordinates are set, and whether coordinate data of the combined image file contain all the preset verification coordinates or not is judged; if the coordinate data of the composite image file does not contain all the preset verification coordinates, determining a plurality of preset verification coordinates contained in the coordinate data as a plurality of to-be-verified coordinates; identifying the crystal grains according to the to-be-verified coordinates, and judging whether the to-be-verified coordinates meet a first verification standard or not; if the to-be-verified coordinate accords with the first verification standard, identifying a crystal grain according to an auxiliary verification coordinate, and judging whether the to-be-verified coordinate accords with a second verification standard; and calculating a non-wafer verification success rate based on the number of the successfully verified coordinates and the number of the to-be-verified coordinates. According to the method, various wafer conditions can be effectively compatible, misjudgment of image combination inspection is reduced, and manual intervention is greatly reduced.

The invention relates to the technical field of big data processing, in particular to a hardware fault intelligent inspection system based on a BMC log, and the system comprises a topology event analysis module, a degradation state mapping module, a macroscopic state inference module and a microscopic state deepening module. According to the method, the number of events and the highest severity level in the log stream are spliced in real time, a dynamic component event vector is constructed, a composite graph model is constructed by using a hardware topological structure and a hierarchical state space, an isolated fixed threshold is not depended on any more, and the macro operation state posterior probability of the component is deduced on the graph model through a probability model; in addition, a corresponding classifier can be automatically selected according to the macroscopic state, the microscopic degradation process of the analysis component is deepened, and the recognition precision of early faults and complex relevance anomalies is remarkably improved.

This invention discloses a method and system for risk warning and traceability of aflatoxin in corn feed, relating to the field of feed safety technology. The risk warning and traceability method includes the following steps: real-time collection of storage environment data, combined with supply chain source quality information, to construct a dual composite graph structure of physical adjacency and biological propagation; employing a source quality-driven dynamic gated spatiotemporal graph neural network model to achieve 5-7 day advance risk prediction; quantifying the proportion of responsibility for source quality, spatial propagation, and self-management based on a rate-of-change sensitive spatiotemporal integral gradient attribution method; and outputting a cost-optimized precise intervention plan through digital twin simulation and reinforcement learning optimization. This invention solves the technical problems of fragmented mechanistic data, neglect of spatial topology, and insufficient traceability interpretation in existing technologies, significantly improving the accuracy, timeliness, and interpretability of aflatoxin risk warning.

This invention discloses a method for dynamic modeling of bidirectional traffic flow based on a deep spatiotemporal graph neural network, belonging to the field of intelligent transportation and data mining. The method includes the following steps: S1, constructing a dynamic traffic flow graph to capture the local spatiotemporal dependencies of the traffic flow; S2, after obtaining the local spatiotemporal dependencies, using a temporal convolutional layer to extract temporal features; S3, after obtaining the temporal features, using a selection gate to filter the effective information obtained in S2 to obtain the final output; S4, after obtaining the result in S3, using a composite graph convolutional module to extract spatial features; S5, fusing the bidirectional traffic flow and obtaining the final prediction result through a prediction layer; S6, calculating the model loss to determine whether the model meets the requirements. This invention addresses the problems of insufficient bidirectional traffic flow modeling, inadequate capture of dynamic dependencies, and poor adaptability to complex traffic scenarios faced by existing technologies in traffic flow prediction, thereby improving the accuracy and applicability of traffic flow prediction.