16 results about "Complex data structures" patented technology

The invention relates to a large-scale education data migration method based on dynamic service routing, and the method comprises the steps: carrying out the optimization of a ClickHouse batch writing operation, employing a transaction control and distributed lock mechanism in the data conversion and writing process, effectively preventing the data from being repeated or lost, enabling the converted data to be efficiently written into a ClickHouse target table through a batch loading mode, and enabling the data to be more stable and reliable. Dynamic table name adaptation and complex data structure conversion are supported, efficient and reliable migration of ten-million-level education data is achieved through asynchronous parallel processing, fragmentation task scheduling, a multi-dimensional duplicate removal mechanism and an abnormal retry strategy, and the throughput and consistency of data writing are remarkably improved.

The invention discloses a multi-source complex table-oriented trusted question and answer agent construction method and system, a question and answer agent is constructed based on a ReAct framework, at least a code interpreter tool and a document reading tool are used in the ReAct framework, and the multi-source complex table-oriented trusted question and answer agent construction method comprises the following steps: constructing a multi-mode complex table analysis tool; the analysis module is used for analyzing a non-editable unstructured table file into an editable structured table text; constructing a single-mode complex table cleaning tool for performing abstract modeling, identification extraction and structure reconstruction on a complex data structure of the structured table text to generate a normalized table which is simpler than an original table in structure; and constructing an illusion detection and repair tool for performing real-time illusion verification on the output content of the question and answer agent, and triggering a fallback regeneration mechanism when illusion is detected. According to the invention, through tool set expansion and multi-tool cooperation, an efficient and credible table question and answer agent is constructed.

This invention discloses an FPGA-based image classification method and system in the field of image classification technology. It aims to solve the problems of high computational load and complex data structures in existing deep neural network modules, which increase the difficulty of FPGA deployment and result in low operating efficiency. The method includes steps such as system initialization, loading model weights, acquiring image data, generating feature matrices, and displaying results. The image classification method provided by this invention can fully utilize hardware resources, linearly reduce the computational load of basic convolutional modules, and achieve the goal of improving operating efficiency.

This invention relates to a quantum-enhanced clustering method based on spheres, belonging to the field of quantum computing technology. This method addresses the problems of high computational complexity, difficulty in capturing intrinsic geometric features, and sensitivity to noise in traditional clustering algorithms when processing large-scale, high-dimensional, nonlinear data. The technical solution includes obtaining a compressed set of spheres from the original dataset and extracting the center vector; encoding the center vector into a quantum state through quantum feature mapping; constructing a quantum kernel matrix using quantum circuits to calculate fidelity; calculating cohesion based on the quantum kernel matrix to identify and remove noisy spheres; performing hierarchical clustering on the core sphere set; and mapping the results back to the original data points. This invention improves clustering accuracy, robustness, and the ability to handle complex data structures.

This invention relates to the field of software development technology and discloses a method, apparatus, device, and storage medium for interface iteration risk alarm. The method includes: acquiring data returned by the interface after an iterative update as comparison data, and acquiring pre-stored data returned by the interface before the iterative update as reference data; converting the comparison data and reference data into a structured data model in a preset format using a nested structure to generate a first structured data representation and a second structured data representation; performing a multi-dimensional comparison based on the first and second structured data representations to obtain a multi-dimensional comparison result; and determining whether to trigger an alarm notification based on the business impact of the multi-dimensional comparison result. Applying the technical solution of this invention can solve the problems of inefficiently handling complex data structure comparisons during interface iteration and the imperfect alarm mechanism in the prior art.

The invention relates to the technical field of railway signal safety control, and provides an interlocking product data analysis method, system and equipment, and the method comprises the steps: analyzing program language data in interlocking software, and obtaining a structural body type definition and a structural body variable; a multi-way tree is constructed according to the structural body type definition, and a multi-way tree model is optimized through node replacement; the optimized multi-way tree is adopted to carry out assignment analysis on the structural body variables, and structural body variable values are obtained; and verifying the obtained structural body variable value and input data, and outputting a verification result. According to the interlocking product data analysis method, system and equipment, structured analysis of interlocking program language data is realized by constructing the multi-way tree model and carrying out node replacement optimization, a complex data structure is efficiently processed, unanalyzed nodes are ensured to be correctly supplemented through a queue traversal and type replacement mechanism, and the data analysis efficiency is improved. And the integrity and accuracy of data analysis are improved.

The utility model discloses a coding module for an optical neural network, an input port and a three-dimensional input port. The coding module comprises a plane wave generator; an information encoder; the plane wave generator is arranged at the upstream of the information encoder along the light path propagation direction; the plane wave generator is used for converting the received light beams into plane waves, and the information encoder is used for carrying out information encoding on the plane waves; wherein the information encoder is a reconfigurable metasurface, and the reconfigurable metasurface comprises at least two reconfigurable micro-nano units. According to the method, the light beam is converted into the plane wave before information coding, so that the precision of information coding is improved, and the accuracy of processing a light calculation task is further improved; moreover, the adjustable metasurface serves as an information encoder, so that the number of information which can be borne in a unit area is larger, the input information density of the optical neural network is improved, a data structure with higher dimensionality or more complexity can be processed, and the optical neural network can process a large-scale optical calculation task.

The invention provides an interaction method and device supporting infinite nesting data structure visualization, and relates to the technical field of data structure visualization and man-machine interaction collaborative modeling. The method comprises the steps that recursive rendering of type perception is executed in response to a data structure loading event, and a nested graph with a clear hierarchical topology is generated; providing a double-input mode of an expression mode and a fixed value mode for basic type nodes, and realizing accurate binding of array variables through a special binding button, an intelligent array selector and a node type label identification and single-selection constraint mechanism under the expression mode; and starting a double-layer recursive verification process driven by a root node during submitting, and performing upward aggregation propagation and visual feedback on a verification result along a parent path. According to the method, the rendering performance and interactive user experience of the deep nested data structure are improved, real-time infinite recursion operation is supported, and the problems that topology is not visual, binding is prone to errors, verification is low in efficiency and the like in complex data structure visualization of a traditional tool are effectively solved.

The application provides a program processing method for reducing the difficulty of data structure formal verification, which comprises the following steps: firstly, the complex data structure is described by a nested shape graph; then, the shape definition of the final nested shape graph is obtained by analyzing the shape definition of the main data structure and the secondary data structure; then, the predicate and macro definition containing the universal quantification assertion in the assertion are expanded, all the assertions are traversed and matched based on the deductive reasoning, and the new assertion is obtained by splitting and splicing according to the matching result. The application adopts the splitting and splicing mode for the complex data structure program with the universal quantification assertion, greatly reduces the complexity of the formal verification, effectively reduces the difficulty of the data structure program verification, and improves the verification efficiency.

The invention discloses an assertion script reconstruction method and related equipment, and the method comprises the steps: obtaining an original assertion script and a user neglect rule, executing a script record field dynamic track to generate a system neglect rule, and carrying out the semantic-level marking of an assertion node of a field needing to be neglected in an abstract syntax tree through the combination of the two types of rules, and reconstructing and generating a target script based on various neglect strategies. By automatically identifying the runtime dynamic field and fusing the user-defined rule, the adaptability to the dynamic scene is remarkably improved. Meanwhile, automatic positioning of the neglected field in the nested structure is achieved by means of the abstract syntax tree, tedious manual modification operation is replaced, adaptation can be completed only by updating a strategy when field features change, the test and maintenance cost is greatly reduced, and repeated labor and human errors are reduced. In addition, different dynamic fields are precisely processed through a strategy, the stability of assertion logic under a complex data structure is guaranteed, and the test accuracy is effectively improved.

The present application relates to the technical field of electric digital data processing, and more particularly to a multi-source heterogeneous data fusion method and system, which comprises connecting a distributed data acquisition platform to obtain a data set to be fused, constructing a hierarchical processing path, performing data format conversion and permission verification, and optimizing decision-making to generate a fusion strategy. By introducing an error model, calling a probability set, and a risk mapping mechanism, the accuracy, efficiency, and security of data fusion are improved. The present application can effectively solve the problems of low processing efficiency, insufficient flexibility, and limited data security protection for complex data structures, significantly improving the reliability and adaptability of data fusion.

The invention discloses an API interface test data processing method and device and a computer readable medium, relates to the technical field of software engineering and testing, and provides a test data cleaning and verifying method and system which are based on a dynamic rule engine and support complex JSON path analysis, dynamic encryption and decryption, multi-round session binding and agent collaborative verification. According to the method, the maintenance cost is greatly reduced only by adjusting a configuration file or a use case file, a dynamic encryption and decryption framework and a complex JSON path analyzer are built in, security data and complex data structures in a modern API interface can be efficiently processed, multiple rounds of interaction behaviors of a terminal user are accurately simulated through MAC, Group and Rotation triple binding and a context persistence mechanism, end-to-end testing is achieved, and the service life of the terminal user is prolonged. According to the method, user sessions are truly simulated, traditional deterministic assertion and AI agent uncertainty evaluation are fused, the verification range and capacity of automatic testing are greatly expanded, and man-machine cooperation intelligent verification can help developers to quickly locate the specific turns and reasons of defect occurrence and accurately locate faults.

The present disclosure relates to the technical field of data processing, and provides a business data desensitization method and device, electronic equipment and a readable storage medium. The method comprises: performing meta-information analysis processing on to-be-processed business data to obtain meta-information data corresponding to the to-be-processed business data; in the case that the meta-information data comprises a class level sensitive annotation mark, performing rule dynamic recursive desensitization processing on the to-be-processed business data based on the meta-information data and scene parameters to obtain a target desensitization field; and performing reflection setting processing on the target desensitization field based on the to-be-processed business data to obtain target desensitization business data. In this way, the data structure support degree is enhanced, the dynamic adaptability of the scene is improved, the complex data structure processing efficiency is improved, the automation degree of data desensitization is improved, the flexibility and scalability of the desensitization rule are improved, the scene-based dynamic rule adaptation is realized, and the coupling degree of the business code and the desensitization logic is reduced.

The invention discloses a WebAssessment type inference method and device based on an enhanced semantic map, and a storage medium. Firstly, deep memory access semantics are extracted from WebAssembly binary codes, then an enhanced semantic graph containing access mode clustering, dependency chain analysis and type propagation paths is constructed, finally, the semantic graph is converted into high-precision type definition and data structure layout, and accurate inference of a complex data structure is achieved. Specifically, deep semantic association can be found from a seemingly irrelevant memory access sequence, and a logic structure of an original program is reconstructed. According to the method, through the construction of the enhanced semantic map, a complete definition including a nested structure, a complex, an array and other complex data types can be accurately identified and reconstructed, and the reverse analysis precision of WebAssembly codes is remarkably improved.

The invention relates to the technical field of power system automation, and provides an edge gateway modeling method and system based on data format fusion, and the method comprises the steps: fusing the data format of multi-source heterogeneous protocol data into a JSON format; the equipment is accessed to the edge gateway based on the data format of the JSON format and the plug-and-play technology; and carrying out identification, fusion and simulation verification on the data format of the protocol data of the equipment accessed to the edge gateway, and completing modeling after the verification is passed. The model file in the JSON format can represent a complex data structure and various data types, and is suitable for different devices and communication protocols. Therefore, the configuration of the edge gateway machine has high flexibility. The model file in the JSON format has readability, and adjustment and optimization of equipment parameters and communication protocols are facilitated.

Various systems and methods are provided for accessing and traversing one or more complex data structures and generating a functional user interface that can enable non-technical users to quickly and dynamically generate detailed reports (including tables, charts, and / or the like) of complex data. The user interfaces are interactive such that a user may make selections, provide inputs, and / or manipulate outputs. In response to various user inputs, the system automatically calculates applicable time intervals, accesses and traverses complex data structures (including, for example, a mathematical graph having nodes and edges), calculates complex data based on the traversals and the calculated time intervals, displays the calculated complex data to the user, and / or enters the calculated complex data into the tables, charts, and / or the like. The user interfaces may be automatically updated based on a context selected by the user.