599 results about "Tree architecture" patented technology

A system for adaptively caching network communication protocols enhances efficiency across heterogeneous device environments through a multi-level cache architecture with device-capability-based tiers. The system collects endpoint telemetry data including device capabilities and operational constraints to classify endpoints and generate context-aware protocol variants optimized for specific device types. Protocol optimization opportunities are determined through structural analysis of message patterns and state transitions. The system performs protocol deduplication by identifying functionally equivalent variants and maintaining canonical representations to reduce cache redundancy. Cache synchronization across distributed nodes uses enhanced Merkle tree structures with protocol normalization processing. The system predicts communication needs based on historical patterns, network context, and endpoint constraints, enabling proactive cache management tailored to device capabilities. Integration with event-driven data communication systems enables seamless protocol selection and translation while maintaining compatibility between diverse endpoint types, from high-performance servers to resource-constrained IoT devices.

The invention discloses an intelligent document analysis method and system, the method is executed by the intelligent document analysis system, and the method comprises the following steps: carrying out layout analysis on a PDF page by adopting a deep learning model; merging the block list from bottom to top by adopting a recursive algorithm; carrying out balance optimization on the binary tree structure; and outputting a result of the processed binary tree structure by adopting a preorder traversal mode. Layout analysis is carried out by adopting a deep learning model, various complex typesetting formats such as multi-column layout, image-text mixed typesetting, tables, lists and the like can be effectively identified and processed, and semantically continuous text blocks are ensured to keep continuity in a tree structure through a tree structure optimization module; a global semantic error correction module is added to carry out global document semantic representation learning and carry out adaptive adjustment and error correction on a preliminary structure, so that deep ambiguity is eliminated, logic errors are repaired, and the consistency of a final analysis result and human reading logic on the semantic level is maximized.

The invention provides a distributed storage method based on source code semantic partitioning, and particularly relates to the technical field of cloud data distributed storage. The method comprises the steps of performing semantic partitioning on a source code, and segmenting the source code into a plurality of semantic blocks according to dimensions such as functional semantics, an abstract syntax tree structure, author information and version information; generating metadata containing information such as grammar type tags, file paths, line number ranges, author identifiers, version identifiers and access popularity for each semantic block; constructing a weighted directed acyclic graph (DAG) based on the semantic chunks and the dependency relationship thereof; superposing a metadata layer in the DAG structure, and recording information such as function call dependency, inter-block reference relationship and version evolution chain; blocks with relatively high access frequency and close semantics are aggregated into super blocks, the traversal depth is reduced, and meanwhile, hot data and cold data are differentiated for hierarchical storage by adopting a cold and hot data management strategy; and evaluating a parent block aggregation degree through a BDS algorithm, determining a block sorting priority, and optimizing super block boundary division. Compared with the prior art, the method has the advantages that the semantic retrieval efficiency, the incremental updating capability and the distributed query performance of the source code storage system are improved.

The invention discloses an intelligent crawler generation method and system based on a large language model and an MCP protocol, belongs to the technical field of network data collection, and solves the problem that the capability of LLM in dynamic webpage analysis and anti-crawling strategy generation links cannot be fully exerted due to the fact that LLM and browser interaction protocols cannot be effectively integrated in the prior art. The method comprises the steps of analyzing an acquisition demand based on a large language model and generating a standardized demand description document, realizing interaction between the large language model and a browser based on an MCP protocol, analyzing a page complete DOM tree structure through a crawler script generation system, and performing quality verification and intelligent repair on a generated crawler script. According to the method, the complete DOM tree and the dynamic data rendered by the browser are obtained through the MCP, and the large language model can be called to automatically analyze the element positioning strategy, so that the collection script is adaptively generated, and high efficiency, intelligence and automation of webpage data collection are ensured.

A method is provided for constructing decision trees. The method includes analyzing a dataset to determine data distribution metrics; calculating feature importance scores for features in the dataset; dynamically adjusting tree depth and node pruning criteria based on the determined data distribution metrics and feature importance scores; initializing a decision tree structure based on the adjusted tree depth and node pruning criteria; and iteratively refining the decision tree by applying heuristic adjustments to improve splits based on updated data distribution metrics and feature importance scores.

The invention discloses a data ownership verification and authorization control method based on zero knowledge proof. The method comprises the following steps: constructing a traceable Merk tree structure on a block chain or a distributed account book; a data owner calculates data fingerprints and packages the data fingerprints into declaration nodes to be inserted into the traceable Merk tree; storing the ownership zero knowledge proof and the traceable Merk tree root hash into a block chain together; the verification party executes the zero-knowledge verifier contract on the chain to complete ownership verification without reading original data or identity plaintext; access control is realized after on-chain verification of the service party; triggering local heavy hash to update the traceable Merk tree root hash, and broadcasting a revocation event on a chain; and confirming legality of evolution and authorization change of all nodes. According to the method, the historical traceability and structural consistency of the data ownership and authorization relationship are ensured, and efficient traceability and anomaly detection of the node evolution chain are also realized.

The invention discloses a structured remote sensing report generation system, method and device based on a syntax tree and a medium, the system comprises a user input layer, a core processing layer and an output and verification layer, the system receives user demand parameters and input data, automatically analyzes the demand parameters and standardizes the input data; generating a syntax tree structure conforming to industry specifications, and driving the large model to obtain a first draft of a report under the constraint of the syntax tree; and performing automatic verification and manual intervention correction on the first draft of the report to form a professional remote sensing report. According to the method, the multi-dimensional syntax tree architecture is constructed, and the hierarchical syntax analysis algorithm and the domain knowledge graph are combined, so that semantic association of the multi-modal remote sensing data and accurate mapping of terminologies are realized, automatic generation of a long document report meeting remote sensing geographic industry specifications is supported, the structured degree and logic continuity of text generation are improved, and the text generation efficiency is improved. The method can be widely applied to the fields of geological monitoring analysis, environment evaluation report generation and the like.

The invention discloses a natural language intention recognition system based on rule and large model dynamic collaboration, and relates to the technical field of artificial intelligence, and the method comprises the following steps: an input preprocessing layer is used for converting a user dialogue voice stream into text information; the complexity judgment module is used for judging whether the text information is complex or not, and the matching module is used for performing rule matching on high-priority rule base rules under a multi-level rule tree architecture; the rule engine module is used for performing intention recognition on the text information based on the rule matching method selected by the matching module under the condition that the text information is not complex so as to obtain an intention recognition result, and the large model processing module is used for performing intention recognition on the text information under the condition that the text information is complex so as to obtain an intention recognition result; and the output layer is used for outputting an intention recognition result. The intention recognition method is beneficial for solving the problems of relatively low intention recognition accuracy, relatively slow response speed and relatively poor processing capability for services in a specific field in the prior art.

The invention provides a multi-agent construction method and device and related equipment, and relates to the technical field of artificial intelligence, and the method comprises the steps: according to a first target instruction input by a first user, obtaining a plurality of sub-tasks corresponding to the first target instruction and a logic relation between the sub-tasks; obtaining at least one target agent from an agent capability library based on the first target instruction, wherein the target agent is an agent matched with the subtask in the agent capability library; determining a behavior tree structure according to the plurality of subtasks and the logical relationship, wherein the behavior tree structure is used for mapping a connection relationship between the at least one target agent; and adjusting a connection relationship between the at least one target agent based on the behavior tree structure to obtain a target multi-agent. The ability to understand complex business contexts and user intentions is enhanced, and accurate construction of a multi-agent system is realized.

The invention discloses a question answering method based on structured document retrieval enhancement, and belongs to the technical field of artificial intelligence. The method comprises the following steps: performing structured information analysis and blocking processing on a structured document to construct a tree structure reflecting a hierarchical relationship of the document; based on a cross-document association relationship, combining the tree structures corresponding to the plurality of structured documents to form a multi-document tree structure network; and when a question request is received, generating corresponding retrieval enhancement information through the tree structure network, and inputting the retrieval enhancement information into the question and answer model to obtain answer information matched with the question request. According to the method, the multi-document tree structure network which takes the tree hierarchical relationship of the structured document as a core and fuses cross-document topic clustering and reference mapping is constructed, so that efficient retrieval enhanced questions and answers oriented to the structured document are realized, and the accuracy, context consistency and traceability of answers are remarkably improved.

The invention relates to a simulation method for a semiconductor device, electronic equipment and a computer readable storage medium. The method comprises the steps that a multi-way tree structure is constructed based on grid data of a gridded semiconductor device, the multi-way tree structure at least comprises a root node, a plurality of layers and a plurality of leaf nodes, and each leaf node represents a corresponding polyhedron in a plurality of polyhedrons in the gridded semiconductor device; in response to the determination of the first spatial position of the particle in the semiconductor device, determining a first search path from the root node to a first leaf node in the plurality of leaf nodes based on the corresponding relationship between each leaf node and the corresponding polyhedron; and in response to the particle moving from the first spatial position to a second spatial position within the semiconductor device, determining a second search path in the multi-way tree structure based on the first search path to determine a second leaf node representing the polyhedron where the second spatial position is located. According to the method, the ion implantation simulation performance is effectively improved.

The invention relates to a method, a device, equipment and a medium for dynamically configuring a window control and layout, and the method comprises the following steps: firstly, obtaining and analyzing an XML configuration file to generate a data model tree of a structured window interface in a memory; then, objects are dynamically created based on a Qt reflection mechanism, attributes and signal slots are set, Qt reflection characteristics are fully utilized, object creation and attribute processing are flexible and efficient, hard coding interface elements in the compiling stage are not needed, needed controls and layouts can be dynamically generated according to a data model tree, and the dynamic nature and expandability of interface configuration are greatly enhanced; establishing a set membership tree between the controls and the layouts in the recursive traversal process to obtain a complete interface tree; and finally, performing layout calculation and rendering to generate a display interface, so that automation of interface layout is realized, interface element layout can be automatically adjusted according to a data model tree structure, and efficient dynamic configuration of window controls and layout is realized.

The invention discloses a code change influence analysis method and device, equipment and a storage medium, and relates to the technical field of software, the method comprises the following steps: performing grammar analysis on a multi-programming language code to obtain a back-end abstract syntax tree and a front-end abstract syntax tree, and converting the back-end abstract syntax tree and the front-end abstract syntax tree into a uniform syntax tree structure through a front-end and back-end calling mapping chain; a cross-language dependency graph is constructed according to the unified syntax tree structure, the cross-language dependency graph is composed of nodes and edges, the nodes represent code entities, and the edges represent dependency relations; and when the code change of the bank business is detected, traversing the cross-language dependency graph through a graph traversal algorithm to obtain a code change influence result. Due to the fact that the back-end abstract syntax tree and the front-end abstract syntax tree of the multi-programming language codes are constructed and connected in series, the perfect cross-language dependency graph is constructed, the front-end link and the rear-end link are connected, cross-language tracking can be achieved when the codes of the banking business are changed, and the influence of code change can be accurately analyzed.

The invention discloses a natural language driven CAD (Computer Aided Design) modeling method based on multi-agent collaboration. According to the method, a collaborative mechanism of a structure planning agent, a parameter completion agent and an execution verification agent is introduced, and the method comprises the steps that firstly, a structure planning agent analyzes natural language description and generates an abstract syntax tree structure meeting a CAD modeling rule; then, on the premise that the structure of the abstract syntax tree is kept unchanged, a parameter completion agent predicts and completes all symbol and numerical parameters, and a complete CAD modeling instruction sequence is generated; and finally, the execution verification agent performs structure and parameter dual verification on the generation instruction by using the geometric kernel, and feeds back and corrects if necessary. According to the method, a strategy of combining field adaptive full-parameter pre-training and task specific fine tuning is adopted in a training stage, and a structure-parameter decoupling modeling and closed loop verification mechanism is introduced, so that the structure accuracy, the parameter matching property and the geometric performability of a generated result are effectively improved.

The invention discloses a geographic space data search method, a geographic space data transaction method and a related device. The search method comprises the following steps: acquiring a search range; according to the search range and a pre-constructed hybrid tree index, searching a data set A intersecting with the search range from all data sets corresponding to the hybrid tree index; wherein the hybrid tree index is composed of a ball tree index and a KD tree index; and performing multi-dimensional similarity calculation on the search range and the data set A, and determining a search result according to a multi-dimensional similarity calculation result. According to the search method, the mixed tree index composed of the ball tree and the KD tree is adopted for first-stage search, the node access frequency during search is reduced through the complementary advantages of the two tree structures, and the search efficiency is remarkably improved when high-dimensional and large-scale data are processed; and multi-dimensional similarity search is further performed based on the search result of the first stage, so that complex search requirements are met.

The invention discloses a knowledge question-answering method and system based on a large language model and a semantic abstract. The system comprises a tree structure abstract generation subsystem which comprises a knowledge base configuration module, a file management module, a document analysis module and a knowledge block management module and is used for automatically generating tree structure hierarchical knowledge blocks for large manual documents or multi-chapter manual documents; the dual-channel retrieval engine subsystem comprises a question rewriting module, a semantic abstract retrieval module, a detail knowledge block retrieval module, a father-son retrieval module and a prompt word construction module, and all the modules work cooperatively to ensure that semantic abstract knowledge blocks and detail knowledge blocks related to the question of the user are retrieved. According to the method, by introducing the semantic abstract based on the tree structure and the two-channel retrieval, perception of global knowledge and accurate extraction of local fine-grained knowledge can be achieved at the same time, and then the ability of a knowledge base question-answering system in processing the general and inductive problems is improved.

The invention discloses a complex table question-answering method based on a tree structure, electronic equipment and a medium, and the method comprises the following steps: responding to header information of a complex table, and outputting a header tree structure by a large language model; decomposing the question into a plurality of keywords through a large language model, and aligning the keywords with the header tree structure to obtain a keyword-tree structure; and in response to the keyword-tree structure, guiding the large language model to carry out iterative reasoning through a React-Style prompt method to retrieve from the complex table, and outputting an answer. According to the method, the multi-level titles of the table are organized into the tree structure, so that the large language model can more clearly understand the hierarchical relationship of the table, and related information can be more accurately positioned when questions are answered.

The invention discloses a verification method and device for a vehicle bill of materials, a medium and a product, and relates to the field of informatization of the manufacturing industry, the method comprises the steps that a to-be-verified bill of materials is acquired, and the bill of materials comprises all material numbers of materials needed by one vehicle type and the hierarchical relation between all the material numbers; generating a tree structure of the bill of materials based on each material number and the hierarchical relationship; based on the tree structure, generating a standard format file for each material number, the standard format file being used for describing basic information of the material number in the tree structure; sending the standard format file to a pre-trained random forest model, so that the random forest model verifies the bill of materials, and outputting a verification result; and when the verification result is that the error exists, determining that the error exists in the bill of materials or the rule in the random forest model is missing. According to the invention, the accuracy and efficiency of vehicle bill-of-material verification are improved.

The invention discloses a substrate management controller firmware integrity verification method and electronic equipment, and relates to the technical field of server management, and the method comprises the steps: building a tree structure layered according to a storage path prefix through obtaining the storage path and content data of each function module, the full-coverage verification of all functional modules of the firmware of the baseboard management controller is realized; according to the method, the security level labels in the structured description information are screened, and the verification path is determined for the target function module, so that the redundant operation of full firmware mirror image hash calculation is avoided, and the calculation amount and time consumption in the verification process are reduced; hash is recalculated based on the target function module and path consistency is verified, whether the target function module is tampered or not can be rapidly judged, all firmware data does not need to be traversed, verification comprehensiveness and efficiency are both considered, and bandwidth resource consumption is reduced; all function modules are associated through a storage path and content data, tree structure verification logic is combined, and refinement of firmware verification from a full mirror image level to a function module level is achieved.

The invention provides a hierarchical clock tree synthesis method and system based on a hybrid topological structure, and aims to collaboratively optimize clock skew and clock delay in a chip clock network. The method comprises the following steps: firstly, introducing a balanced greedy search clustering algorithm, clustering registers at the initial stage of clock network construction, and reducing local clock skew and delay; and generating a bottom layer clock tree in each cluster by adopting a bounded deviation construction method so as to ensure the clock synchronization quality in the cluster. In a top-layer clock tree construction stage, the invention provides a self-adaptive H-tree topology construction algorithm, and the H-tree structure is dynamically adjusted according to the position relationship among all layers of clusters, so that a global clock distribution path is optimized under multiple layers. Besides, in order to further improve the CTS quality, the invention further designs a clock network optimization strategy based on buffer post-processing, and local buffer insertion and position adjustment are carried out for the problems of fan-out unevenness and load overrun so as to eliminate potential illegal paths.

The invention relates to a multi-granularity interest point recommendation method based on a geography-time mixed tree structure. The method comprises the following steps: collecting sign-in data of each user; clustering the geographic positions of the sign-in points to obtain a clustering result containing a plurality of geographic clusters, dividing each piece of sign-in data into each geographic cluster, and distributing corresponding geographic cluster labels; segmenting time, counting geographic clustering labels of all sign-in points in all time periods to obtain a track-level geographic hierarchical structure, and organizing the track-level geographic hierarchical structure into a tree structure to obtain a geographic tree and a time tree; a multi-level recurrent neural network is adopted to establish a recommendation model, geographic features and time features are obtained based on the geographic tree and the time tree, the input of the recommendation model is the geographic features and the time features, and the output of the recommendation model is a prediction result of interest point recommendation; inputting the spatio-temporal information of the current user into the trained recommendation model, and outputting the predicted next potential interest point by the recommendation model; and a more accurate interest point recommendation result is obtained.

The invention provides an MERKLE tree authentication method and device based on frequency and time dual feature perception, and relates to the technical field of network security. The method comprises the following steps of: upwards generating a hash node for each data node through an SM3 algorithm; arranging all the Hash nodes according to an increasing sequence of the failure timestamps; traversing the ordered queue from left to right, finding a plurality of adjacent nodes, combining to generate a father node, replacing the adjacent nodes, and constructing a Merkle tree structure; and performing recursive binary search from the root node from top to bottom according to the timestamp to position the target node and record the Merkle path, performing reverse verification on the hash value of the Merkle path from bottom to top, performing hash aggregation on brother nodes of the Merkle path layer by layer, and verifying whether the hash values of the root node are consistent or not. According to the method, the data verification efficiency of the Merkle tree is optimized by combining dual information of the timestamp and the frequency value, and the method is suitable for scenes with timeliness and access frequency characteristics.

The invention discloses a difference interaction method for a visual editor, which comprises the following steps: converting bottom data of the visual editor into a tree structure, and setting a unique identifier and a path index for each node in the tree structure; comparing the original tree structure with the newly generated tree structure through a tree difference algorithm according to the path index to obtain difference nodes, generating atomized Patches in one-to-one correspondence, and mapping the atomized Patches and the nodes through unique identifiers; and according to the atomized Patch, semantic description is obtained through a semantic interpretation engine so as to generate semantic Patches, and the semantic Patches are visually displayed so as to respond to user confirmation to perform dynamic updating. Through tree structure modeling, atomization difference analysis and semantic interaction, the problems of black box, version control deficiency, insufficient interaction experience and the like of a generative AI auxiliary visual editor in the prior art are solved.

The invention relates to the field of data management, and provides an equipment label information hierarchical storage method and device based on a prefix tree structure, the method comprises the following steps: caching equipment label information into a memory in the prefix tree structure, the prefix tree structure being a data structure combining a prefix tree and a linked list, each cached node holds a pointer pointing to a child node storage space on a disk; when the amount of data cached in the memory reaches a preset threshold value, newly adding or modifying the equipment label information cached in the prefix tree into a physical log file; after the newly-added or modified operation is completely written into the physical log file, the equipment label information in the memory is stored in the prefix tree file, and the prefix tree file is stored on a disk by adopting a structure of fusing a prefix tree with a B + tree. According to the invention, the problem of overlarge memory consumption of a full-memory storage scheme in the prior art is solved, and the memory occupation is obviously reduced.

The invention provides a database query method and device with a private protection characteristic, equipment and a medium. The method comprises the following steps: receiving a to-be-processed query statement; generating a query block set carrying a protection mark according to the query statement and the target keyword in the query statement so as to construct a target syntax tree structure carrying the protection mark; in the process of constructing a semantic tree structure based on the target syntax tree structure, maintaining a hierarchical action domain stack structure, and performing cross-hierarchical visibility detection by using the hierarchical action domain stack structure to obtain a semantic tree structure passing the cross-hierarchical visibility detection; and generating a response result corresponding to the query statement according to the semantic tree structure. According to the invention, the private protection characteristic is introduced to realize the fine control of the CTE action.

The invention discloses an engineering document generation method and system based on a logic structure tree and LLM and a medium. The method comprises the steps that original data are analyzed to form an initial text segment set X; calling LLM to generate an initial technical draft based on X, extracting a logic structure, and constructing an initial logic structure tree T; maintaining a search queue, for leaf nodes in the queue, acquiring context information related to semantics from X through a retrieval enhancement mechanism, after same-level brother node deduplication and global deduplication judgment, calling LLM to expand the nodes to generate child nodes, optimizing text description, and recursively enriching a tree structure; and finally, based on the X and the optimized tree, calling LLM to generate a title, an abstract and a background, generating content, details and key point chapters through traversal, and combining into a complete engineering document. The system comprises a document analysis module, a knowledge base module, a retrieval enhancement module, a logic structure tree maintenance module and a document generation module. The method is high in automation degree, and the generated document is clear in structure, complete in content and high in specialty.

A tree-structured world state storage method, a recovery method, and a computer device. The storage method comprises: with respect to generated / updated tree nodes, according to a logical page structure obtained by division, generating corresponding memory pages, the memory pages being used for representing content of all corresponding tree nodes in the logical pages, wherein the logical pages are results obtained by aggregating several upper and lower adjacent tree nodes according to a node association relationship of the tree structure, each logical page contains at least one tree node, and the tree nodes in different logical pages are mutually exclusive; on the basis of changes in the contents of all the tree nodes in consecutive versions of the logical pages, generating base pages and delta pages; and persisting the base pages and the delta pages in one database without distinguishing between a currentDB and a historyDB.

The invention discloses a programming method and system for industrial robot operation teaching based on a knowledge graph, and relates to the technical field of industrial automation and intelligent control. The method comprises the following steps: analyzing an industrial robot PDF technical document, extracting an instruction and an instruction parameter, and constructing a tree structure based on an identified title hierarchy; constructing a hierarchical knowledge graph based on the tree structure; generating an abstract syntax tree based on the instruction, the instruction parameter and the knowledge graph; filling node attributes of the abstract syntax tree into a preset control template, generating a reference RAPID code, importing the reference RAPID code into a robot controller, loading teaching environment parameters, and executing; and comparing execution results of the student self-compiled code and the reference code for students to observe difference comparison learning. The invention aims to break through a PDF technical document understanding threshold and accurately position errors in self-compiled codes of students through knowledge graph construction and reference code generation, so that the learning efficiency of the students is improved, and the teaching burden of teachers is relieved.

The invention provides a multi-target community detection evolution method based on a locus coding induction tree structure. The method comprises the following steps: randomly generating an initial solution based on locus coding by a network to be subjected to community detection, evaluating a population corresponding to the initial solution according to a preset objective function, selecting a parent solution by using a binary tournament selection operator, and generating a new filial solution for the parent solution by using a crossover operator and a local search operator; using the parent solution and the new filial solution to obtain a filial population by using a selection operator of a non-dominated sorting genetic algorithm framework, judging whether an iteration termination condition is met or not, and if not, continuing iteration until the termination condition is met; and otherwise, ending iteration, and obtaining a community division result of the network to be subjected to community detection according to the obtained filial generation solution. According to the method, a high-quality filial generation solution is generated through a designed crossover operator and a local search operator, and an excellent community detection result can be obtained in a large-scale network under limited computing power.

The invention relates to the technical field of artificial intelligence, in particular to a hierarchical tree and auto-reflection-based retrieval enhancement generation method, device and medium, the method comprises: constructing a multi-layer tree structure knowledge base, the knowledge base comprising a plurality of tree index structures constructed based on text similarity, enterprise organization architecture and level architecture; receiving user query and user identity information; generating a plurality of sub-queries corresponding to different retrieval intentions based on the user query and the user identity information; performing multi-path retrieval on each sub-query in the corresponding tree index structure to obtain a related knowledge fragment set; and based on an auto-reflection mechanism, a final answer is generated, and knowledge traceability is realized at the same time. According to the method, the problems of low knowledge base quality, poor retrieval result correlation and single retrieval path in the traditional RAG technology are solved, and the accuracy, correlation and interpretability of enterprise system questions and answers are remarkably improved.