19 results about "Link relation" patented technology

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 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 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 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.

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 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 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.

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 application provides a sensor assembly service encapsulation method and a sensor. The method comprises the following steps: constructing a target sensor module, the target sensor module comprising a plurality of sub-function modules; connecting to a dynamic library, and constructing a dynamic link relationship between functions in the dynamic library and I / O interfaces of the sub-function modules; and performing Restful style encapsulation on an application program interface of the target sensor module after the dynamic link relationship is generated, to obtain a target sensor module after encapsulation. The method greatly reduces the development difficulty of the function block by linking the external library. The universality of the sensor function block is improved by using the basic function block to create the sensor function block, and the resource utilization of the sensor is reasonably optimized. In addition, the scheme realizes access to the output result by the component service method, changes the API, changes the function block parameters, and then realizes different sensor functions and working modes, and can be widely applied to the technical field of sensors.

The application relates to the field of communication ad hoc networks and command control technology, and provides an automatic grouping generation method based on communication types and communication relations, which comprises data preparation, link relation network generation, filtering sub-set and filtering parent set, and relation space generation. The automatic grouping generation method based on communication types and communication relations provided by the application gives the rules of automatic grouping generation, realizes filtering and elimination of repeated network formation through network fusion, network sub-set judgment and network parent set judgment. Since the method of the application does not need operations such as super parameter adjustment, has the advantages of strong adaptability and low demand for computing resources, and can be independently formed into a module for modular integration.

This application provides a method, apparatus, device, and storage medium for collaborative creation of multimedia content. The method includes: displaying a list of chapters of the media content to a user based on the user's browsing request; obtaining a target chapter identifier and a target content fragment associated with the target chapter identifier based on the user's operation on the chapter list, and displaying the target content fragment and an upload control associated with the target content fragment; obtaining an uploaded content fragment based on the user's operation on the upload control; obtaining the chapter to which the uploaded content fragment belongs and the link relationships between the uploaded content fragment and other content fragments based on the target chapter identifier; and storing the uploaded content fragment and the link relationships based on the chapter to which the uploaded content fragment belongs. This method satisfies the collaborative creation needs of different types of multimedia content creators on the same topic, improving the user experience.

The present application relates to a kind of methods for calculating the distance between starting and arrival platform in train operation task, the method the method includes the following steps: step S1, according to the direction of service stopping point SSP in the track section Block of operation stopping area SSA, and the link relationship of Block in electronic map, SSA of same direction SSP is connected in series, and constitute an SSA_Route list;Step S2, if departure platform or arrival platform, with safety passenger loading and unloading area has no intersection, then return an invalid value for signal system identification;Step S3, if finding departure platform and arrival platform in a certain SSA_Route, then calculate distance according to the path;Step S4, if departure platform and arrival platform cannot be found simultaneously in all SSA_Route, then return an invalid value for signal system identification.Compared with prior art, the present application has advantages such as real-time and high efficiency.

The invention discloses a service processing method based on bare core proxy and multi-service dynamic fusion in the technical field of power secondary equipment, which comprises the following steps: dynamically fusing configuration files of a plurality of independently developed service function modules into an integrated executable program according to a fusion configuration file, and generating a comprehensive configuration file; dynamically loading each service entry program to a shared memory according to a loading sequence in the comprehensive configuration file; establishing data links among different service functions according to a link relationship in the comprehensive configuration file; registering each service task into a task queue with multiple levels of priorities according to a service real-time requirement in the comprehensive configuration file, and scheduling and executing according to the priorities; and carrying out business data exchange with the FPGA through a special agent core preset in the multi-core processor in an uninterrupted main cycle operation. According to the invention, the problems of real-time performance, isolation and expansibility in multi-service integration are solved, and meanwhile, the application requirements of low cost and low power consumption are met.

The application discloses a method and device for logistics network management, and relates to the technical field of logistics management. A specific embodiment of the method comprises the following steps: determining the correlation degree between different city nodes in a logistics network based on cargo volume information, and obtaining a correlation degree matrix between the different city nodes in the logistics network; taking the correlation degree matrix between the different city nodes in the logistics network as a weighted value of a link relationship between the different city nodes in the logistics network, and constructing an initial adjacency matrix of the logistics network; and performing clustering processing on the initial adjacency matrix by using a graph theory algorithm, and obtaining a community clustering result of each city node in the logistics network and core nodes of each community. The embodiment can give a scientific logistics hub node selection method under the premise of comprehensively considering the cargo volume and the transportation network between the city nodes, and the finally obtained community structure is consistent with the hub-and-spoke structure in the logistics network, and has good practical value.

Techniques are provided for backing up and restoring a file system or storage virtual machine located within a remote object store. A specification is parsed to identify resources associated with and including a primary resource hosted within a remote object store and to identify REST API endpoints of the resources. GET operations targeting the REST API endpoints of the resources are performed to retrieve the resources and properties of the resources. A link relationship specification is parsed to identify links corresponding to dependencies amongst the resources. A backup of the primary resource is generated to include the resources, the properties of the resources, and dependency information derived from the links. The backup can be used to restore the primary resource to the remote object store in manner that preserves the dependencies amongst the resources.

The invention discloses a streaming AI dialogue data processing method and device, a medium and a program product, and the method comprises the steps: generating a user message node in a reverse message chain for a user message input by a user, and building a reverse link relation between a preorder pointer of the user message node and a previous node; initiating a dialogue request to a server based on the user message, and receiving a temporary message ID of a streaming response event fed back by the server; creating a temporary message node in a reverse message chain according to the temporary message ID, and establishing a reverse link relationship between the temporary message node and the user message node by using a preorder pointer of the temporary message node; updating the temporary message node by using the streaming response data; and mapping the temporary message node into a formal message node after receiving a formal message ID of a response completion event returned by the server. According to the method and the device, the consistency of the local cache of the streaming message and the server data is ensured, and the synchronous updating of the incremental updating content is realized.

The application provides a text-to-SQL processing method and device and a storage medium, and relates to the technical field of natural language processing. The application obtains a text to be converted, which is a natural language text containing information related to a database list name; performs semantic analysis on the text to be converted according to the database list name to obtain a first linking relationship between the text to be converted and the database list name, wherein the first linking relationship contains semantic information; adjusts the first linking relationship according to the text to be converted and the database list name to obtain a second linking relationship between the text to be converted and the database list name; and determines an SQL statement corresponding to the text to be converted according to the second linking relationship. Through the application, a linking relationship between a text and a database list name based on the same semantic information can be established, and a more accurate SQL statement can be output by dynamically adjusting the linking relationship.

The application discloses an aero-engine software tracing and checking method and system, realizes full-process automatic tracing from requirement definition to final verification, shows the tracing relationship in an intuitive mode, improves the efficiency and quality of software development, and provides support for aero-engine software development and maintenance. The technical scheme is as follows: a link relationship is established: a plurality of requirement files and traced files are linked through different tools or methods, and the link relationship between high and low layer requirements and data is verified; after each source file with the link relationship is acquired, the source file is converted into an intermediate file through a converter, the intermediate file contains format information, the tracing relationship in the intermediate file is extracted by analyzing a keyword, and a coverage range is acquired; based on the tracing rule checking, the wrong tracing relationship is located and modified; and a visual view is formed according to the tracing relationship.