108 results about "Link relation" patented technology

A method and apparatus for improving scheduling in a wireless communication network. The scheduling is improved by: receiving first configuration information, where the first configuration information is configured to configure at least two SS sets having a link relation, and CORESETPoolIndexes of CORESETs corresponding to two of the at least two SS sets are different; determining an MAC CE, where the MAC CE is configured to indicate at least one TCI state corresponding to each code point in at least one code point, in response to determining that the at least one code point is configured to appear, the state is carried in a transmission configuration indication field of DCI, the DCI being transmitted by PDCCH candidates in the at least two SS sets having the link relation; and determining a default TCI state of a PDSCH scheduled by the DCI.

The invention provides an industrial network topology construction method and system based on active and passive linkage, and the method comprises the following steps: S1, extracting equipment interface information and a neighbor link relation through an SNMP protocol, and screening stable and credible links in combination with multi-point routing link detection and time sequence analysis; s2, collecting flow data, carrying out direction modeling, analyzing and detecting abnormal links based on communication frequency, and filtering short-time interference links; s3, integrating active detection and passive acquisition equipment and link information, and realizing equipment and link merging based on the unique identifier of the equipment; and S4, performing link clustering, feeding back to an active detection module and a passive acquisition module, and optimizing an initiating node of the next round of active detection and an acquisition node of flow acquisition. The efficient and accurate network topology construction method is provided for solving the problems of multiple IP identifiers, complex topology links, noise link interference and the like of equipment in an industrial network, the noise link interference can be remarkably reduced, and the efficiency and accuracy of network management are improved.

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.

Embodiments of the present application relate to the technical field of computers. Disclosed are a conversational Text-to-SQL pre-training method and apparatus based on fine-grained link information. The method comprises: obtaining text statements of a conversation and a database schema, wherein the text statements comprise the current statement and a historical statement of the conversation; obtaining a statement link relationship between the statements in the conversation on the basis of the text statements of the conversation and the database schema, and obtaining a first loss function; obtaining a schema link relationship between the conversation and a database on the basis of the current statement of the conversation and the database schema, and obtaining a second loss function; and pre-training a neural network model on the basis of the first loss function and the second loss function to obtain a pre-trained Text-to-SQL model. The present application solves the problems in the prior art of low accuracy, cross-domain failure, and conversation context forgetting.

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 multi-machine clone cross-regional data transmission, in particular to a cloud mobile phone multi-machine clone cross-regional data transmission method and system. Firstly, a user submits a cloning task request, a system generates a task list according to the request, calculates required resources and allocates the required resources to a target area, establishes a task framework diagram, then performs logic division on instance data, marks difference data blocks, and authenticates a link relationship between instances through a dual link protocol; then, the difference data blocks are transmitted in combination with a multi-thread technology, meanwhile, thread task allocation is dynamically balanced to optimize efficiency, in the transmission process, a system conducts consistency verification on data, detects and retransmits wrong data blocks, infinite retransmission is avoided by adopting a timeout and frequency upper limit mechanism, and finally a target instance completes data reconstruction by combining the difference data blocks. And the data consistency is verified through the hash value. According to the method, efficient and safe data cloning is ensured based on task management, data fragmentation, link authentication and check repair.

The invention provides a command control structure control plane architecture design method based on software definition. The method comprises the following steps: step 1, inputting service resources and deploying communication resources; 2, designing a control structure; step 3, designing control information content; and 4, designing a control interface. Service resources needing to be controlled and available communication resources in a command control structure serve as input, logic control relations and physical link relations between controllers and resources and between the controllers are designed in multiple centralized and peer-to-peer control modes, and a control structure is formed. A control structure mathematical representation model and a control structure characteristic evaluation model are established, the robustness, the high efficiency and the comprehensive quality of the control structure can be quantitatively calculated, control information content, formats and interfaces in multiple control modes are designed, state perception, function configuration and service information flow definition of a control plane to resources are achieved, and the control structure is more accurate and reliable. Therefore, generation of the command control structure capability is guaranteed.

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 invention relates to the technical field of computational fluid mechanics and computational geometry, and discloses a recursive retrieval method of spatial points on a given grid region, comprising the following steps: S1, initializing parameters of a balanced binary tree retrieval structure; s2, opening up dynamic memories of internal members in the binary tree structure; s3, calculating critical bounding box parameters in background grid body units; s4, recursively constructing a link relationship of balanced binary tree nodes; s5, globally stipulating geometric data of the spatial points to be retrieved; s6, recursively retrieving contribution units covering the spatial points; and S7, returning a pairing relationship between the spatial points and the contribution units. The problems of low retrieval efficiency and the like in the prior art are solved.

The invention belongs to the technical field of user interfaces, and relates to a UI interface design method and device, computer equipment and a storage medium, and the method comprises the following steps: abstracting each page in a UI interface as a data node; performing node linking on each page according to the business relationship; designing a navigation path according to the link relation of the nodes; designing an interface layout according to the hierarchical relationship and the link relationship of the nodes; and carrying out testing and iterative optimization on the UI interface design based on the binary tree. The UI pages are organized through a binary tree, jumping logic of the pages can be achieved through simple logic codes, the code development workload is reduced through decoupling of the pages, and the robustness of software is improved; the development and maintenance of the page become simpler and clearer, and meanwhile, the expansion workload of the UI page is reduced.

The invention provides an equipment knowledge graph internal link relation completion method. The method comprises the steps of obtaining an instance embedding initialization matrix, a relation 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 with the instance embedding initialization matrix to obtain an instance embedding fusion matrix; constructing an encoder to train the instance embedding fusion matrix and the relation embedding matrix to obtain a final instance embedding matrix and a final relation embedding matrix; and constructing a multi-dimensional adaptive convolutional decoder, inputting the instance attribute embedded feature matrixes of the relationship to be complemented into the decoder, calculating scores of each pair of feature matrixes under different relationships through the decoder, and obtaining a relationship corresponding to the highest score as a final complementation relationship of the input instance pair.

The invention discloses a logistics network management method and device, and relates to the technical field of logistics management. A specific embodiment of the method comprises the following steps: determining association degrees among different city nodes in a logistics network based on cargo volume information, and obtaining an association degree matrix among the different city nodes in the logistics network; taking the correlation degree matrix among the different city nodes in the logistics network as a weighted value of a link relationship among the different city nodes in the logistics network, and constructing an initial adjacency matrix of the logistics network; and carrying out clustering processing on the initial adjacent matrix by adopting a graph theory algorithm to obtain a community clustering result of each city node in the logistics network and a core node of each community. According to the embodiment, a scientific logistics hub node selection method can be provided on the premise of comprehensively considering the cargo quantity and the transportation network among the urban nodes, and the finally obtained community structure is consistent with the axial-radial structure in the logistics network, so that the method has a relatively good practical value.

The present application relates to the field of big data technology, and provides an entity noun linking method, device, computer equipment and storage medium. The method includes: obtaining a text to be processed, and determining a domain dictionary of the vertical field to which the text to be processed belongs, performing word segmentation processing on the text to be processed based on a word segmentation tool associated with the domain dictionary, obtaining a word segmentation result, marking the nouns in the word segmentation result that exist in the domain dictionary as candidate entity nouns, and establishing a link relationship between the candidate entity nouns and the corresponding entity nouns in the domain dictionary. For vertical fields, lightweight entity links can be quickly constructed through domain dictionaries and word segmentation tools associated with the domain dictionaries, effectively improving the efficiency of entity noun links. The present application can be applied to smart government affairs, thereby promoting the construction of smart cities.

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 present invention discloses a 0day attack path prediction method and system for a knowledge graph for network security. The method includes: constructing a knowledge graph between an attacker entity and a device entity; predicting the link relationship between the attacker entity and the device entity according to a neural network; the prediction of the link relationship between the attacker entity and the device entity according to the neural network includes: the neural network predicts the gain of each attack path in each sub-attack graph, and selects the attack path corresponding to the maximum value from the gains of all attacks as the 0day attack path. The present invention provides a 0day attack path prediction method and system for a knowledge graph for network security, which solves the technical problems of low prediction accuracy and poor timeliness in the process of predicting the route of network attacks.

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 invention relates to the technical field of substation automation, in particular to a full-library comparison method, system and equipment for a real-time library and a configuration library, and the method comprises the steps: comparing the model information of the real-time library and the configuration library, and obtaining a model comparison result; loading link relation data of the configuration library and the number of instances of each object type on the basis of the model comparison result; generating task information according to the link relation data of the configuration library and the instance quantity of each object type; and generating comparison tasks according to the task information, starting a plurality of threads in a thread pool, and concurrently executing a plurality of comparison tasks to generate a comparison result. Through the multi-thread comparison framework and the refined step design, comprehensive and efficient comparison of the transformer substation monitoring system data is achieved, the consistency of the real-time library data and the configuration library data is ensured, and the reliability and stability of the system are improved.

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.

A method for implementing distributed SWC link processing, the method comprising the steps of: starting an SWC module service and a registry service of a distributed SWC server (S10); receiving a link registration request from a distributed SWC terminal, wherein the link registration request includes link information of the current registration request, and the link information comprises a requester SWC identifier and a target SWC identifier (S11); searching a service list of the started SWC module service to determine whether the target SWC identifier is present, determining whether registration is successful, and notifying a requester SWC of a registration result (S12); storing the link information of the current link registration request in an on-board memory (S13); and on the basis of link information of each link registration request that is stored in the on-board memory, executing a link operation corresponding to each link registration request, and establishing a link relationship between each requester SWC and a target SWC (S14). The method and corresponding apparatus can effectively improve the efficiency and quality of links between different SWCs, reduce system performance losses, and enhance the development efficiency and flexibility of vehicle software.

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 computational fluid mechanics and computational geometry, and discloses a non-recursive retrieval method of spatial points on a given grid region, comprising the following steps: S1, initializing parameters of a balanced binary tree retrieval structure; s2, opening up dynamic memories of internal members in the binary tree structure; s3, calculating critical bounding box parameters in background grid body units; s4, generating a link relationship of balanced binary tree nodes in a non-recursive manner; s5, globally stipulating geometric data of the spatial points to be retrieved; s6, performing non-recursive retrieval on contribution units covering the spatial points; and S7, returning a pairing relationship between the spatial points and the contribution units. The problems of low retrieval efficiency and the like in the prior art are solved.

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 present disclosure relates to a physical downlink control channel monitoring method, device and storage medium. The physical downlink control channel monitoring method is applied to a terminal, and the physical downlink control channel monitoring method includes: in response to the terminal being configured with a first search space set and a second search space set having a link relationship, and determining that there are multiple PDCCH candidates at a time domain position overlapping with the monitoring time of a second PDCCH candidate of the second search space set, determining whether the first PDCCH candidate of the first search space set is monitored, wherein the first PDCCH candidate and the second PDCCH candidate have a link relationship. The present disclosure can improve the PDCCH reception success rate.