59 results about "Link relation" patented technology

The embodiment of the invention discloses a knowledge graph construction method and device, a storage medium and a terminal. Extracting a plurality of to-be-linked entities in the current text and to-be-linked relationships among the to-be-linked entities; matching each to-be-linked entity with each target entity in the target knowledge graph, and determining the to-be-linked entities meeting a first matching condition as to-be-updated entities; matching each to-be-linked relationship with a target relationship between target entities in the target knowledge graph, and determining the to-be-linked relationship meeting a second matching condition as a to-be-updated relationship; and updating the entity to be updated and all relation triples of the relation to be updated to the target knowledge graph. Through the active matching mechanism based on the existing knowledge of the target map, entities and relationships which exist in the current text and conform to the current semantic specification, structural constraint and knowledge rule of the target knowledge map can be effectively screened out, and the perception and adaptability to the dynamic change of the knowledge rule are remarkably enhanced.

The invention discloses a jewelry value evaluation knowledge base construction method based on a large language model. The method comprises the following steps: S1, collecting and preprocessing jewelry value evaluation text data; s2, keeping title enhancement of the hierarchical information; s3, standardizing table data; s4, converting the text including the table into a Markdown format; s5, extracting jewelry value evaluation knowledge based on single sample learning by using a large language model; s6, processing and storing a result; according to the method, the title is converted into the Markdown format, the absolute path of each title in the text is reserved, and meanwhile, the cue word for guiding the large language model to extract information in a structured manner is constructed for the extraction task, so that structured extraction and tree structure organization of jewelry value evaluation knowledge are realized; the problem that a hierarchical structure is difficult to construct in a knowledge base due to the fact that a current text information extraction result based on a large language model lacks all levels of title link relations is solved.

The invention relates to the technical field of building block arrangement control, in particular to a building block arrangement dynamic control system based on Rhino and Grasshopper collaboration, in the building block arrangement dynamic control system based on Rhino and Grasshopper collaboration, building blocks are parameterized into topological nodes through a constraint network construction module, a zero-spacing constraint relation is established, a dynamically updated network node set and a topological link relation are generated, and the network node set and the topological link relation are dynamically updated; the problems of structure gaps and low model reconstruction efficiency in traditional arrangement are solved; the dynamic response module positions an influence node range in real time based on an event source, generates a state event carrying a change type, realizes localized precise conduction, and avoids resource waste of global recalculation; the integrated solving module calls three types of rules in a chain manner through a fixed time sequence, utilizes a geometric continuity rule to force continuous position updating, utilizes a conflict-free rule to correct space interference, optimizes a rule to adjust size combination, and drives an interface to generate an arrangement scheme after cooperatively updating node parameters; the technical problems of continuous damage, space interference and high proportion of non-standard components in masonry design are solved.

The application provides a webpage tampering monitoring method, system, device, medium and program product, and relates to the technical field of network security.The method comprises the following steps: acquiring a current DOM tree, current source code and current webpage screenshot of each webpage, which are recorded as a current data set; acquiring a standard DOM tree, standard source code and standard webpage screenshot of each webpage, which are recorded as a standard data set; acquiring a webpage map, wherein the webpage map comprises a link relationship between the webpages; determining a first webpage tampering degree of each webpage according to the webpage map, the current data set and the standard data set, which is recorded as a webpage tampering degree set; and if a second webpage tampering degree greater than or equal to a preset threshold exists in the webpage tampering degree set, it is determined that the webpage corresponding to the second webpage tampering degree has a tampering risk.The application monitors the webpage by means of the DOM tree, the webpage screenshot and the webpage source code, thereby avoiding inaccurate monitoring caused by incomplete keyword feature libraries.

The present application relates to the technical field of block arrangement control, in particular to a block arrangement dynamic control system based on Rhino and Grasshopper cooperation, in the present application, the block is parameterized as a topological node and a zero-spacing constraint relationship is established through a constraint network construction module, a dynamically updated network node set and a topological link relationship are generated, and the problems of structural gap in traditional arrangement and low model reconstruction efficiency are solved; a dynamic response module is based on real-time positioning of an influence node range based on an event source, generates a state event carrying a change type, realizes localized accurate conduction, and avoids resource waste of global recalculation; an integrated solving module calls three types of rules through fixed time sequence, forcibly updates position continuity by using geometric continuity rules, modifies spatial interference by using conflict-free rules, and adjusts size combination by using optimization rules, cooperatively updates node parameters, drives the interface to generate an arrangement scheme, and solves the technical problems of continuity destruction, spatial interference and high proportion of non-standard components in block design.

The application discloses a kind of professional talent ability evaluation method and system based on industry big data, belong to the field of ability evaluation;The application first obtains the standardized ability factor data of target talent and the demand vector of industry, constructs the first industry knowledge graph including post skill node, post matching project node and enterprise name node based on historical industry data;Target talent node and demand node are integrated into graph and link relationship is established, forming the second industry knowledge graph, based on the graph, starting from target talent node and demand node respectively, forward and reverse attention propagation is carried out in combination with attention mechanism;By calculating the interaction of attention weight in bidirectional propagation path, generate ability-demand coupling matrix, finally, perform spectral analysis on the matrix, extract the principal eigenvector as the talent industry adaptation degree index and generate evaluation results.The application effectively solves the problem that the ability of talent cannot be accurately and efficiently evaluated in the prior art.

The present application relates to the technical field of power system management, in particular to a kind of power system load management method and system based on blockchain technology, in one specific embodiment, the present application provides a kind of power system load management method based on blockchain technology, management method includes: according to distribution structure, distribution area is divided into multiple distribution blocks, obtains the distribution data and link relationship of each distribution block;According to distribution data, the real-time load of distribution block is obtained, and according to real-time load, the block that needs to be adjusted is filtered out, to obtain the block to be adjusted, the load gap of the block to be adjusted is calculated;According to link structure, and according to initial compensation scheme, compensation load is calculated;According to compensation load and load gap, initial compensation scheme is adjusted, to obtain final compensation scheme.

Implementations of the present disclosure provide a solution for text line detection. In this solution, a first text region comprising a first portion of at least a first text element and a second text region comprising a second portion of at least a second text element are determined from an image. A first feature representation is extracted from the first text region and a second feature representation is extracted from the second text region. The first and second feature representations comprise at least one of an image feature representation or a semantic feature representation of the image. A link relationship between the first and second text regions can then be determined based at least in part on the first and second feature representations. The link relationship can indicate whether the first and second portions of the first and second text elements are located in a same text line. In this way, by detecting text regions and determining the link relationship thereof based on their feature representations, the accuracy and efficiency for detecting text lines in various images can be improved

The invention discloses a network transmission control optimization method and system based on a traffic demand, and relates to the technical field of network transmission, and the method comprises the steps: obtaining a video data stream, carrying out the track type division and region importance evaluation of the video data stream, generating a track demand, and mapping the track demand into a track demand table; link state information is extracted from the transmission link, corresponding mapping is carried out on the link state information according to the track demand table to form a demand link relation, a matching range is delineated according to the demand link relation, and a link performance value of the transmission link is determined through the link state information; performing screening matching on the track demand quantity and the link performance value in the matching range to form a link binding result; and establishing a time synchronization relationship of the video tracks, and writing the time synchronization relationship into scheduling data of a link binding result. According to the invention, track type division and regional importance evaluation are carried out on the video data stream, so that the transmission efficiency and the user experience are improved.

The invention discloses a code text processing method and a program product. The method comprises the steps of obtaining a target code text, determining code text features corresponding to the target code text, and generating an abstract syntax tree and a control flow graph according to the target code text; taking a plurality of code statements in the target code text as nodes, determining a target node feature matrix of the target code text according to the code text features, the abstract syntax tree and the control flow graph, and generating a target adjacent matrix for representing a link relationship between the nodes; and determining a vulnerability detection result corresponding to the target code text according to the target node feature matrix, the target adjacent matrix and a pre-trained vulnerability recognition model, so as to quickly detect vulnerabilities and improve the security and reliability of code operation.

The present invention discloses a method, device and medium for constructing a link prediction model that satisfies local differential privacy based on a personalized sampling random response graph structure perturbation algorithm. The method belongs to the field of data security and solves the problems of graph structure edge density expansion when a random response mechanism is directly used, which cannot retain important community features on the graph, as well as privacy leakage during the model learning process. The method designs two rounds of interaction between users and collectors. In the first round of interaction, the user end uses personalized sampling technology and a random response mechanism to perturb the link relationship between other users and sends it to the collector. The collector aggregates the link relationships sent by all users and uses a community discovery algorithm to divide the communities to which the users belong. In the second round of interaction, the user end performs personalized sampling random response based on the community division results and then sends the perturbed link relationship to the collector. The collector aggregates the link relationships sent by all users to obtain the final graph adjacency matrix. The present invention is suitable for graph privacy protection scenarios.

The present application discloses a blockchain-based textile industry supply chain information tamper-proof method and system, the method comprising: establishing a supply chain traceability blockchain with multiple links in the textile industry supply chain as nodes; wherein, block information is used between nodes of the traceability blockchain to transmit interactive data; block information is marked with a preset symbol marking algorithm for link relationships; it is determined whether the block information between two adjacent parent-child nodes is consistent; when the block information is inconsistent, it is determined that the parent node of the two adjacent parent-child nodes has undergone information tampering, and the link relationship mark in the block information is updated. The present invention constructs a traceability blockchain for the textile industry supply chain, realizes the transparency of supply chain data; uses a preset symbol marking algorithm to mark the link relationship of block information, and when tampering occurs in the blockchain, it can efficiently locate the location where the tampering occurred, thereby ensuring the information security of the supply chain.

The application discloses a social perception recommendation method under multi-category sensitive link relationship protection and relates to the technical field of big data analysis. The application generates vector representations of users and items by using a heterogeneous graph neural network, introduces a mask protection mechanism of multi-type edges, solves the privacy leakage problem of multiple types of sensitive links, and thus prevents reasoning attacks of attackers based on background knowledge. A heterogeneous social perception model based on a session is constructed based on a session and multi-type nodes, recommendation performance is improved, the problem that multi-type node information cannot effectively act on a recommendation model is solved, and the problem of limited data use in a real scene is solved.

The disclosure provides an equipment knowledge graph internal link relationship completion method, which comprises: obtaining an instance embedding initialization matrix, a relationship embedding initialization matrix and an attribute embedding initialization matrix; obtaining a first layer instance embedding optimization matrix; obtaining a second layer instance embedding optimization matrix; fusing the second layer instance embedding optimization matrix and the instance embedding initialization matrix to obtain an instance embedding fusion matrix; constructing an encoder to train the instance embedding fusion matrix and the relationship embedding matrix to obtain a final instance embedding matrix and a relationship embedding matrix; and constructing a multi-dimensional adaptive convolution decoder, inputting an instance attribute embedding feature matrix of a to-be-completed relationship into the decoder, calculating the score of each pair of feature matrices under different relationships through the decoder, and obtaining the relationship corresponding to the highest score as the final completed relationship of the input instance pair.

The invention relates to the technical field of cloud computing, and particularly discloses a cloud computer access monitoring method and system based on dynamic optimization, a general graph comprising a node set, an edge set and an edge weighting function is constructed, a cloud computer access full-link relation is completely mapped, region-level structured mapping is carried out on the general graph to establish a node-edge-weight three-layer structure, and a cloud computer access full-link relation is established. According to the method, the node state is monitored on the basis of a client heartbeat packet, sub-graph nodes are dynamically updated, splitting / merging is executed according to a regional node number threshold value, sub-graph scale balance is maintained, and a node-edge-region three-layer monitoring index system is constructed to make up for the dimension defect of a single node index. And a fault propagation source is positioned through a community monitoring algorithm and a shortest path algorithm, so that the problem that an attack source cannot be positioned in time due to the fact that a traditional monitoring method applied to cloud computer access does not realize dynamic optimization on cloud computer access monitoring and does not consider communication association among nodes in a region is solved.

The embodiment of the invention provides a link-based increment upgrading method and device, equipment and a medium. The method comprises the steps of determining an original mirror image of target software and an existing first increment mirror image for the target software; obtaining a second incremental mirror image currently used for performing incremental upgrading on the target software; establishing a target link relationship between the original mirror image and the second incremental mirror image and a target link relationship between the first incremental mirror image and the second incremental mirror image; and performing incremental upgrading on the target software according to the second incremental mirror image and the target link relationship. According to the embodiment of the invention, incremental upgrade can be completed on the basis of not modifying the file of the original mirror image, so that the problems of too large upgrade package, long upgrade time, long upgrade package transmission time and large demand for upgrade space during upgrade are avoided, or the problems of software exception, too large flash resource occupation and the like caused by modifying the original mirror image are avoided.

The application discloses a user operation behavior prediction method and device, terminal equipment and server. The method comprises the following steps: obtaining user operable function points of a software program to be tested, and constructing a function point directed graph according to the link relationship between the function points; constructing a three-dimensional model of the function point directed graph; calculating the initial concentration of pheromone of each function point; predicting the function points in a test level based on the operation habit of a test case and the initial concentration of pheromone of the function points; marking the connected function points and the path of the connected function points and the function points of the previous level in the three-dimensional model of the function point directed graph according to a marking strategy; updating the pheromone concentration of all the function points in the test level based on the prediction result after the prediction of one or more function points in the test level is completed; and displaying the three-dimensional model of the function point directed graph, the marking of the function points and the marking of the test case test path. The application can predict the operation behavior of the user, and the prediction result is displayed intuitively.

The invention provides an interface layout method, and belongs to the technical field of human-computer interaction interfaces, the interface layout method comprises the following steps: according to an interface resolution parameter, dividing to obtain grids with a preset row number and a preset column number; according to the link relationship and the grids of the user demand page, combining the grids to obtain multiple levels of content blocks so as to distribute corresponding content blocks for the user demand page; and calculating a layout coordinate of each element in the corresponding content block in the user demand page, and generating a display interface. The grid concept is combined, the page layout is reasonably utilized, the display interface is generated according to the page link relation, the user experience is improved, and the user learning cost is reduced.

The invention provides a compiling method and device of a PLC ladder diagram, computer equipment and a medium, and the method comprises the steps: obtaining an original PLC ladder diagram, and carrying out the graph structure optimization of the original PLC ladder diagram, and obtaining a target PLC ladder diagram; based on the link relationship between the identification buses in the target PLC ladder diagram, performing graph structure splitting on the target PLC ladder diagram to obtain a local ladder diagram between the starting node bus and the intermediate node bus and a local ladder diagram between the intermediate node bus and the ending node bus; performing program compiling on the local ladder diagram between the starting node bus and the intermediate node bus based on the flow direction branch set corresponding to the starting node bus to obtain an intermediate node compiling result; and performing program compiling on the local ladder diagram between the intermediate node bus and the end node bus based on the intermediate node compiling result and the flow direction branch set corresponding to the intermediate node bus to obtain a PLC ladder diagram compiling result. Therefore, the ladder diagram compiling efficiency is effectively improved.

Even if the document data has not been pre-categorized, the system will determine the similarity between the document data and extract similar document data. [Solution] The system includes: acquisition means for acquiring document data having one or more items; word extraction means for extracting words from string data indicated in the items of the document data; vectorization means for vectorizing each of the string data based on the words in each of the string data; similarity calculation means for calculating the similarity between string data having the same item based on the vectors corresponding to each of the string data; and grouping means for selecting document data that have a direct and indirect linking relationship based on the similarity and a predetermined similarity threshold, and grouping each of the selected combinations with the linking relationship.

The present disclosure provides an information processing method and device, a terminal and a storage medium. The information processing method comprises: receiving a first document and / or a second document; identifying whether a preset identifier exists in the first document; when the preset identifier exists in the first document, obtaining a document identifier in the preset identifier, and replacing the preset identifier with a reference block corresponding to the document identifier, wherein the document identifier and the reference block are both associated with the content of the second document. The information processing method of the present disclosure can effectively retain the existing link relationship of the imported document, and can form a knowledge graph according to the link relationship or reference relationship, so that the imported document has the same document importing effect as the copy and paste.

The application discloses a kind of through signal intelligent matching spacecraft electrical connection relationship design method, which comprises three steps of automatic matching connector, manual matching, fuzzy query connector: automatic matching: the definition information of equipment and connector input by interface data, automatically find signal matching connector to connect, and establish connection relationship if connection is successful;Manual matching: using interface input and the link relationship information established by automatic matching, display all devices and connectors in the system in tree menu, as well as the state of connection relationship;Intelligent query: in the process of manually matching connector, according to the node information of connector, provide a visual graphical interface, and list all connectors that meet the matching conditions and the pins they belong to.The application uses information technology to realize electrical connector data, with automatic matching as the main method and manual operation as the auxiliary method, to automatically establish link relationship and achieve the purpose of automatically generating cable data.

The application provides a method, device and electronic equipment for determining node representation. A signed network is studied, and the purpose is to learn node representation in the signed network. In the signed network, similarity between nodes in a positive link sub-network is emphasized, and difference between nodes in a negative link sub-network is emphasized. Therefore, the signed network is divided into the positive link sub-network and the negative link sub-network. Since low-frequency information and high-frequency information maintain similarity and difference between nodes, low-frequency graph signal filters and high-frequency graph signal filters are designed for the positive link sub-network and the negative link sub-network, respectively, to extract low-frequency information and high-frequency information of the positive link sub-network and the negative link sub-network, so as to determine node representation and predict a link relationship between two nodes. In the scheme, the low-frequency information and the high-frequency information are used to describe node representation in the signed network, and the signed network can be fully modeled.

The application discloses a kind of intelligent processing method and device for source discovery, the method comprises: obtaining user demand information;The user demand information is parsed, and information resource table is obtained;According to the information resource table, automatically crawl scientific and technical information text, and get intelligence text database;The intelligence text database includes N intelligence texts, and N is positive integer;The theme of the intelligence text is extracted, and the keyword list of each theme cluster is obtained;According to the keyword list of each theme cluster, the new demand information of user is processed, and the theme test result is obtained.The method can construct webpage context according to webpage link relationship, and the information source is automatically discovered and analyzed by comprehensive link relationship and webpage content, which reduces the labor cost and time cost.Through comparative analysis and the identification of unknown entity characteristic value, new source theme can be found, the comprehensiveness of information is enhanced, and the information collection efficiency and accuracy are improved.

The application discloses a page operation obstacle identification method and device, relates to the technical field of Internet, and discloses a method and device for identifying whether a user encounters an operation obstacle in the process of using a product. The method comprises the following steps: collecting and processing a certain amount of related data of the process of using the product by the user, and then constructing an identification model comprising a first neural network, a second neural network and a GBDT model; and then optimizing the identification model by using the processed related data, wherein the two neural networks are supervised and trained, and the GBDT model is trained by combining the extracted features of the trained neural network with the basic information of the user; and finally, whether the user encounters an obstacle in the process of using the product is determined by using the optimized identification model. The model structure of the double neural networks is adopted to effectively extract and match the operation behavior of the customer and the link relationship structure features of the page itself, so that whether the customer encounters an operation obstacle can be identified in time and accurately.

The invention discloses a two-way fault analysis method based on a link relationship between a power network and a professional network, which can be used for forward mapping from power equipment to a resource service and reverse mapping from rack equipment to power generation power equipment. And performing bidirectional retrieval analysis on the power supply link of the power network according to the influence of the power equipment fault on the resource service.

The application discloses a user occupation identification method and device, equipment, a storage medium and a program product, relates to the computer technical field, and discloses a user occupation identification method, comprising: generating a personal trajectory vector set corresponding to a user terminal according to the dynamic link relationship between the user terminal and a base station, and generating the time coding and the position coding of the personal trajectory vector set;Pre-training is carried out on the base large model based on the time coding and the position coding, and the static features of the user and the static features of the space contained in the pre-trained base large model are extracted;According to the static features of the user and the static features of the space, the pre-constructed occupation classifier is trained to obtain the trained occupation classifier;The trained occupation classifier is used for user occupation identification.The application improves the accuracy of user occupation identification.

The present application relates to network data processing technical field, especially a kind of community detection microscale countermeasure method and system based on node relative importance disturbance, add false user node in the community topology structure of target node belonging to, and according to the link relationship of false user node and original node in community establish false node relative importance candidate link library;Node in community is divided into inferior node and preparatory node, and get inferior gene and preparatory gene;By pruning operation, eliminate inferior gene, retain preparatory gene, use node relative importance as fitness, and filter excellent gene by roulette selection method;With false user node as core, use cross selection to obtain excellent gene chromosome, and the optimal relative importance false link generated by chromosome is added to the community topology structure of target node belonging to.The present application can reach counteracting effect to overlapping community detection and non-overlapping community detection, and can better realize the purpose of hidden target node or community.

An embodiment of the present application discloses a method and apparatus for configuring a physical downlink shared channel (PDSCH). The method and apparatus receive first configuration information, where the first configuration information is used to indicate information of at least two search space sets (SS sets) having a link relationship and a control resource set (CORESET) corresponding to each search space set. The method determines configuration information of the physical downlink shared channel (PDSCH) in response to the first configuration information. The downlink control information (DCI) corresponding to the PDSCH is transmitted through at least two physical downlink control channel (PDCCH) candidate time-frequency resources in at least two search space sets having a link relationship. The method clarifies a method for configuring PDSCH transmission when the CORESETPoolIndex corresponding to multiple CORESETs corresponding to multiple SS sets having a link relationship are different, thereby improving the configuration flexibility of the CORESET when the PDCCH is repeatedly sent, and the transmission flexibility of the PDSCH.

Even if the document data has not been pre-categorized, the system will determine the similarity between the document data and extract similar document data. [Solution] The system includes: acquisition means for acquiring document data having one or more items; word extraction means for extracting words from string data indicated in the items of the document data; vectorization means for vectorizing each of the string data based on the words in each of the string data; similarity calculation means for calculating the similarity between string data having the same item based on the vectors corresponding to each of the string data; and grouping means for selecting document data that have a direct and indirect linking relationship based on the similarity and a predetermined similarity threshold, and grouping each of the selected combinations with the linking relationship.