24 results about "Relationship Identifier" patented technology

The embodiment of the invention discloses a causal relationship tracking method, device and system and electronic equipment. The causal relationship tracking method comprises the steps that an eBPF probe mounted on a specified path of a kernel space detects a first event triggered by a first process, wherein the first event is used for creating a second process; determining whether the first process is a parent process of the second process; under the condition that the first process is not the parent process of the second process, generating a causal relationship identifier of the second process, and establishing a corresponding relationship between the process identifier of the second process and the causal relationship identifier; and under the condition that the first process is the parent process of the second process, obtaining a causal relationship identifier of the first process, and establishing a corresponding relationship between the process identifier of the second process and the causal relationship identifier.

The invention discloses an attitude control method and system for continuously locking a ground target by an unmanned aerial vehicle, and the method comprises the steps: obtaining a target position and an unmanned aerial vehicle attitude data stream, carrying out the coordinate transformation to generate a target attitude relation identifier, and carrying out the deviation vector decomposition to form a visual axis deviation feature set; disassembling the image into a fast and slow response chain through attitude mapping processing, repairing a fracture node, constructing an attitude correction track, extracting a control feature mode, generating a response feature factor, and constructing an attitude compensation constraint matrix; frequency domain decomposition and cross coupling calculation are carried out on the optical axis deviation feature set to determine the coupling correlation degree, and a superposition disturbance sequence is identified and dynamically reconstructed to generate a compensation gain sequence; executing stability evaluation to determine time sequence distribution, identifying abnormal disturbance characteristics and extracting key moment control characteristics; the constraint matrix and the gain sequence are fused to generate a fusion control law, a dynamic priority control coefficient is determined, a target continuous locking attitude control instruction is output, and continuous and stable locking of the moving target is achieved.

The invention provides a multi-party cooperative progress visualization monitoring method for intelligent building facilities, and relates to the technical field of intelligent building construction monitoring, and the method comprises the steps: collecting data, and building a three-dimensional model; establishing a causal relationship identifier based on the time sequence and the associated features to obtain a causal map, calculating an abnormal propagation probability and labeling a risk region; performing information mapping to generate a monitoring data stream and extracting features; calculating feature correlation, and mapping the feature correlation into a scene semantic segmentation map; and rendering in combination with the risk area and the progress information to obtain a visual three-dimensional dynamic construction progress. According to the invention, risk early warning and progress visual monitoring of the construction process are realized.

A highly secure file system stores and accesses files utilizing familiar hierarchical concepts for file storage (i.e. root directory, directory, file entry data, etc.), while at the same time hiding the actual path to access the desired file. A file may be stored and accessed at a data store node using a Uniform Resource Identifier (URI) path comprising a unique, unidirectional relationship identifier that controls a requesting entity's access to the file system. The URI path may also comprise a “leaf” unique uniform identifier (UUID) derived from linkages between the hierarchical nodes superordinate to the data store node.

This application discloses a user profiling analysis method and server based on online advertising. The method includes: first, acquiring the target user's long-tail search keyword sequence and community interaction record sequence; merging the two sequences into a user behavior action unit chain and generating a set of behavior evolution relationship edges to form a user behavior semantic script; then, performing dependency parsing to generate an intent discourse structure containing a set of subordinate relationship identifiers and a set of causal modification relationship identifiers; performing hierarchical attention propagation operations to generate a hierarchical attention distribution map; and finally, extracting key plot nodes and semantic transition relationship nodes, mapping them to a set of advertising placement semantic anchor points, and generating a user profile feature cluster. By constructing a user behavior semantic script and parsing its intent discourse structure, this application can generate an accurate profile feature cluster that reflects the hierarchical organization and evolution of user interests.

Embodiments of this application provide a task processing method and a chip, and relate to the field of computer technologies. The task processing method includes: separately placing, in a plurality of instruction queues that are in a one-to-one correspondence with a plurality of execution units, all instructions in an instruction sequence used to implement a task; determining, based on a relationship identifier corresponding to a restriction instruction at a head of a first instruction queue in the plurality of instruction queues, a processing status of a second instruction queue on which the first instruction queue depends in a data dependency relationship indicated by the relationship identifier; when the processing status is processing completed, extracting the restriction instruction corresponding to the relationship identifier from the first instruction queue, to execute an instruction after the restriction instruction, where the processing status is obtained by updating based on the relationship identifier; and completing processing of the plurality of instruction queues to obtain a processing result of the task. In embodiments of this application, load of a compiler during asynchronous execution of different tasks can be reduced, and task processing efficiency can be improved.

Systems and methods are disclosed for providing secure digital communications using a relationship based trust framework. A relationship object associated with a relationship identifier and relationship scoped validation material governs communication acceptance or rejection based on a structured relationship state model. Communications referencing the relationship identifier are evaluated deterministically and accepted or rejected prior to delivery. Continuity and trust events are recorded in a relationship scoped ledger. The framework optionally avoids reliance on identity authentication, shared secrets, or probabilistic risk scoring and enables delegation, suspension, and revocation without affecting unrelated relationships. Optionally, delegated authority binding enables workflow integration without converting the relationship into an identity account.

The invention relates to a POI recommendation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring recommended scene data and at least one candidate point of interest POI; performing POI recall from the at least one candidate POI according to the recommendation scene data, and determining a POI hit attribute of the recalled POI; wherein the POI hit attributes comprise label attributes and / or non-label attributes; the label attribute comprises at least one of a scene type label, a scene portrait label and a user portrait label; the non-label attribute comprises at least one of POI popularity, POI configuration information, a preset city code and a preset set membership identifier; according to the POI hit attribute of the recalled POI, determining the recall score of each candidate POI; and according to the recall score of each candidate POI, selecting a to-be-recommended POI from the at least one candidate POI. By adopting the method, the diversity of POI selection can be increased, and the accuracy and reasonability of selecting the to-be-recommended POI are improved, so that the user experience is improved.

Embodiments may monitor utilization of a machine. A risk relationship data store may contain electronic records that represent a plurality of risk relationships with an enterprise. A device located proximate to the machine includes a plurality of sensors, each sensor configured to monitor at least one parameter (e.g., acceleration, speed, mileage, run-time and location sensors, etc.). A back-end application computer server may calculate an operator behavior score and a machine operation score based on sensor signals. The computer server may also determine a machine characteristics score and an amount of utilization associated with the machine. A risk relationship identifier associated with the machine is identified, and the computer server may automatically and dynamically update a resource amount associated with the risk relationship identifier based on the operator behavior score, the machine operation score, the machine characteristics score, and the amount of utilization associated with the machine.

A system for sharing plant equipment configuration data collected by a handheld communicator during monitoring and maintenance activities. Plant equipment configuration data consists of assigned relational identifiers, such as equipment identifiers that provide additional information related to the configuration data of the plant equipment. Additional plant process identifiers can also be assigned to distinguish configuration profiles for various equipment sets. The relational data can be used to retrieve configuration profiles for application in various efforts to replicate configurations across plants.

The application relates to a relationship graph construction method and device, computer equipment and a storage medium. The method comprises the following steps: determining the types of nodes, dividing a plurality of nodes into management nodes and instance nodes subordinate to the management nodes according to the types; associating first attribute information with each management node and associating second attribute information with each instance node; wherein the first attribute information is information representing node management rules, and the second attribute information is information representing entity business attributes; configuring a first relationship identifier between each management node and the instance nodes subordinate thereto, and configuring a second relationship identifier between each management node and the adjacent layer instance nodes dependent thereon; and constructing a relationship graph model according to the management nodes, the instance nodes, the first attribute information, the second attribute information, the first relationship identifier and the second relationship identifier. The method can improve the accuracy and efficiency of data management based on a relationship graph.

The application discloses a kind of for multi-source data real-time tracing supervision system and method, it is related to data management technical field, the method includes: when data is generated, the original characteristic information of data is automatically collected, write into blockchain and generate unique data blood relationship identifier, establish data blood relationship index table;When data is transferred, real-time record node identification, time stamp and operation type, obtain attenuation value from attenuation coefficient control table, calculate current confidence coefficient, as new node is chained and forms chain connection;Periodic check data integrity, when detecting data quality anomaly, call the complete blood relationship chain corresponding to abnormal data, associate each link attenuation value and offset cumulative amount;Filter the link of confidence degree drop amplitude greater than threshold value, combined with characteristic offset jump point, call the chaining record of maximum attenuation point, locate specific operation behavior.The application accurately locates the maximum attenuation point and specific operation behavior of data anomaly, improves the efficiency of supervision.

The embodiment of the invention provides a chemical accident text information extraction method and system, and belongs to the technical field of data processing. The method comprises the steps of collecting a to-be-extracted text, and executing first entity extraction on the to-be-extracted text based on a preset preliminary screening dictionary to obtain a plurality of first entity fragments; mapping the to-be-extracted text based on a BERT algorithm to obtain a text vector sequence; performing entity classification on the text vector sequence, and executing a corresponding entity extraction scheme based on a classification result to obtain a plurality of second entity fragments; and based on the first entity fragment and the second entity fragment, designating relationship classification processing, based on a processing result, adding a relationship identifier, and outputting an entity set. According to the scheme, the automatic information extraction task of the complex text in the chemical field is effectively achieved, and accident decision making and handling are assisted.

This invention relates to the field of traditional Chinese medicine (TCM) model technology, and discloses a multi-dimensional TCM large-scale model collaborative intelligent agent system, comprising: a data segmentation unit that performs semantic segmentation on TCM data and omics data, and uniformly encodes TCM nodes and their relationships; a first collaborative unit that, based on relationship identifiers, inputs prescription nodes and their associated component nodes into the large model, and generates paths for target nodes and pathway nodes based on the relationship identifiers; a second collaborative unit that inputs the component-target correspondence in the candidate action path dataset as a constraint into the small model, and solves in parallel the affinity results and molecular property results between components and targets; and a collaborative update unit that determines the decision output based on the screened candidate action path dataset, and updates the relationship identifiers, the large model, and the small model. This invention ensures the reliability of multi-dimensional TCM large-scale model collaboration.

The invention discloses a teacher and bearing relationship prediction method for science and technology data fusion with a new subject atlas, and the method comprises the steps: carrying out the analysis and statistics of paper and patent data in a plurality of fields, constructing a network representation learning device through employing a network representation learning algorithm, and carrying out the prediction of the teacher and bearing relationship based on a deep neural network-mixed principal component analysis (PCA) algorithm and a pooling layer technology means. The method comprises the following steps: establishing a teacher-bearing relationship identifier, adding attribute network information, establishing a new subject map identifier based on subjects, performing classification optimization on different subjects, forming a data set of advisor-advisor advisor pairs and advised pairs by using the teacher-bearing relationship identifier, and combining the teacher-bearing relationship identifier and the new subject map identifier to obtain an advised-advisor advisor-advisor advisor-advisor advisor-advisor advisor map. A reliable machine learning prediction model is established to predict a tutor-student relationship, and statistics and modeling are carried out to calculate a cooperation network of the technology in different periods of talents in papers and patents, so that the teacher-bearing relationship of the talents is judged, for example, who is the tutor of the talents and which students are carried by the tutor of the talents, and other teacher-bearing relationships are judged.

The application relates to a data migration method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: writing data in a first variable table into a second variable table; the data in the first variable table and the data in the second variable table are respectively tree structure data; modifying the parent-child relationship identifier in the second variable table according to the self-increment identifier in the second variable table to obtain a modified second variable table; inserting the modified second variable table into a target data table and performing self-increment processing on the self-increment identifier in the inserted second variable table according to a preset self-increment strategy to obtain a processed variable table; repairing the parent-child relationship identifier in the processed variable table according to the processed self-increment identifier to obtain a repaired target data table; and storing the repaired target data table. The method can realize fast migration of data without changing the structure of the target data table.

The present invention discloses a method for software upgrade of an intelligent mobile terminal, comprising the following steps: making full upgrade packages for each upgrade partition of the software to be upgraded; deploying the full upgrade packages for each upgrade partition in the retrieval units of different intelligent mobile terminal servers according to the unique relationship identifiers between the full upgrade packages for each upgrade partition; the mobile device requests retrieval and sequentially downloads the full upgrade packages for the corresponding upgrade partitions one by one through the unique identifier of the device to be upgraded and the block information of the upgrade partition to be upgraded, and sequentially executes the upgrade of the upgrade partition to be upgraded according to the downloaded full upgrade packages for the upgrade partitions. The present invention also discloses a control system for software upgrade of an intelligent mobile terminal. The present invention can deploy the upgrade packages for different partitions distributively on different OTA servers, reducing the concurrent download load of the servers and reducing the hardware R & D cost of intelligent terminal products.

The application discloses a method and system for continuously locking the posture of an unmanned aerial vehicle (UAV) on a target, which comprises the following steps: obtaining the target position and the UAV posture data stream, performing coordinate conversion to generate a target posture relationship identifier, and performing deviation vector decomposition to form a visual axis deviation feature set; performing posture mapping processing to disassemble the visual axis deviation feature set into fast and slow response chains, repairing broken nodes to construct a posture correction trajectory, extracting a control feature mode to generate a response feature factor, and constructing a posture compensation constraint matrix; performing frequency domain decomposition and cross-coupling calculation on the visual axis deviation feature set to determine a coupling correlation degree, identifying a superimposed disturbance sequence, and dynamically reconstructing to generate a compensation gain sequence; performing stability evaluation to determine a time sequence distribution, identifying an abnormal disturbance feature, and extracting a key time control feature; fusing the constraint matrix and the gain sequence to generate a fusion control law, determining a dynamic priority control coefficient, and outputting a target continuous locking posture control instruction, so that the moving target is continuously and stably locked.

An embodiment of the present invention provides a data display method, device, electronic device, and storage medium. The method includes: determining the distance between the first target and the second target in the map based on the positions of the first target and the second target with an associated relationship in the map; if the distance does not reach a preset threshold, displaying the icon of the first target and the icon of the second target and the first association relationship identifier of the first target and the second target in the map using a first display method, wherein the first association relationship identifier is used to indicate that the first target and the second target have an associated relationship. Since the distance between the first target and the second target in the map does not reach the preset threshold, that is, when the positions of the first target and the second target in the map are close to each other, the first display method can be used to display that the first target and the second target have an associated relationship, so that the user can clearly and intuitively see that the first target and the second target have an associated relationship, thereby improving the user experience.

Embodiments of the present invention provide a media content display method and apparatus, an electronic device, a storage medium, and a program product. The media content display method comprises: receiving a display operation for first media content; and in response to the display operation, displaying a media content picture of the first media content on a media content display page, and displaying a preset relationship identifier between a current user and a publisher of the first media content, wherein the preset relationship identifier is a relationship identifier of a preset interaction relationship, and the preset interaction relationship is established on the basis of a target interaction event between the current user and the publisher in a target page.

The present invention provides an encryption method and system for ensuring the security of the virtual-real integration of intelligent IoT and the metaverse, which relates to the technical field of the metaverse. It includes obtaining device identification information and virtual object identification information to construct a third-order tensor to generate a virtual-real mapping relationship identifier; generating a quantum encryption key based on this; performing hierarchical encryption on physical world data to construct a multi-level key generation network; transmitting the encrypted data to the virtual object; verifying the authenticity of the data through a decentralized trust system and decrypting and presenting it. The present invention improves the security of virtual-real integration interaction and ensures the integrity and authenticity of data.

The embodiment of the invention provides a message load balancing method and device, network equipment and a computer readable storage medium, and relates to the field of data communication. According to the method, whether the optimal scheduling relationship obtained by training in the initialization stage is adopted as the target scheduling relationship is determined by obtaining the scheduling relationship identifier, so that the existing optimization result is directly multiplexed when the communication state of the port is not changed, and the scheduling efficiency after the network equipment is started is improved; and under the condition that the scheduling relationship identifier does not start the optimal scheduling relationship or the communication state of the port is changed, carrying out load balancing according to the proportional relationship between the number of cores and the number of queues, and dynamically generating a target scheduling relationship. And each core processes the message in the corresponding receiving queue based on the target scheduling relationship so as to realize reasonable matching of the core and the receiving queue in a multi-core multi-queue environment, avoid scheduling bottleneck caused by non-uniform resource allocation, and improve the message processing capability and the resource utilization rate of the network equipment.

The application provides a multi-party collaborative progress visualization monitoring method for intelligent building facilities, relates to the technical field of intelligent building construction monitoring, and comprises the following steps: collecting data to establish a three-dimensional model; establishing a causal relationship identifier based on time sequence and correlation characteristics, obtaining a causal graph, calculating an abnormal propagation probability, and marking a risk area; performing information mapping to generate monitoring data flow and extract features; calculating feature correlation and mapping into a scene semantic segmentation graph; and rendering to obtain a visual three-dimensional dynamic construction progress in combination with risk area and progress information. The application realizes risk early warning and progress visualization monitoring of the construction process.

The application of the invention is a divisional application of 201910538971.4. The embodiment of the invention discloses a relation establishment method and device, equipment and a storage medium. The method comprises the following steps: establishing a second association relationship between a first user and a second user, wherein the second association relationship is a subordinate association relationship of the first association relationship; after the second association relationship is successfully established, when a user operation page corresponding to the second user is displayed, displaying user information and a relationship identifier of the second user in the user operation page, the user operation page is implemented as at least one of a relationship display page of the second association relationship, a contact page, a chat session page and a user detail page of the second user, and the relationship identifier is used for indicating that the second association relationship exists between the second user and the first user.