30 results about "Event mapping" patented technology

The invention discloses a method for testing compatibility of creative application software based on big data storage. The method comprises the following steps: acquiring environment and version information to generate fingerprints; similar evidence extraction failure feature clusters are recalled; evaluating a case risk sequence based on the cluster and evidence; a version difference event mapping graph is used for obtaining a seed; spreading the seeds to obtain an influence domain and generating an increment regression set; the duplicate removal execution cases are combined, and receipts and judgment are output; inference of a minimum cost explanation path is hit by the failure case atlas; obtaining a consensus root cause according to the explanation path, and generating complementary measurement and verification; and verifying the gating updating atlas and precipitating new evidence to drive self-updating. According to the method, incremental regression and root cause interpretation updating are realized by utilizing differential propagation and anti-fact verification closed loop of the environment and version fingerprints and the compatible relationship knowledge graph, and the method has the advantages of high efficiency, high coverage and high credibility.

A system for event-driven distributed data network analysis, the system includes: a multitude of domain data nodes, each comprising a stream storage, a multitude of transformation pods, and a product API, with each domain data node ingesting heterogeneous event streams, validating schema compliance, performing enrichments, and making data products available under versioned schema contracts; each domain data node further comprises a hardware-based edge intelligence appliance comprising an enclosure, a compute module with heterogeneous processing units selected from CPUs, GPUs, and TPUs, a secure enclave module for confidential execution of transformation code on encrypted data, a protocol-structured stream storage medium supporting multi-level retention, and industrial I / O interfaces configured for direct interaction with sensors, programmable logic controllers, and cloud-native services; an event mesh backbone processor configured to connect the multitude of domain data nodes via a publish-subscribe architecture, with the backbone guaranteeing exactly one-time delivery, partition-level sorting, and geo-replicated durability; a Contextual Intelligence Engine coupled with the Event Mesh Backbone processor, the engine comprising a semantic graph memory and a Streaming Graph Reasoner configured to map raw events into an ontology, perform graph joins in real time, and recognize composite causal patterns across multiple domain data nodes; a governance and policy control unit integrated into both the data and control layers. This layer enforces zero-trust security, role-based access control, real-time provenance tracking, and regulatory compliance; and An actuation interface coupled with the contextual intelligence engine and the governance layer. The actuation interface is configured to generate control commands for operational technology devices and digital workflows, thus closing the loop from data acquisition to autonomous decision-making.

The invention provides a method for realizing an intelligent non-player character in an interactive game, which relates to the field of data processing and comprises the following steps of: packaging a decision intention into an immutable action package in a predefined decision period and placing the action package in a time domain trusteeship queue to realize time decoupling of a decision and a runtime load; the world state projection is divided into an opaque decision phase and a reconciliation phase, the decision phase only exposes the event category projection and the historical abstract, and the reconciliation phase reflows detailed trigger details in an independent window for posteriori maintenance but does not backtrack submitted actions; submission follows an atomization criterion and the submitted abstract does not contain time information; during resource contention, accumulating in response to a debt, and repaying through display shaping on the premise of not exposing a time sequence so as to keep the semantic consistency of main games; the posterior processing updates the action banks and event mappings offline based on the backflow details to improve subsequent decisions.

A method is provided that includes receiving mine operation data from a set of data sources in a mine, processing the mine operation data to detect a set of events that satisfy at least one operator attention trigger condition, mapping the set of events to a mine model based on location information associated with events in the set of events, determining an affected location area of the set of events mapped to the mine model, generating an operator attention indicator to display the set of events in the affected location area in the mine model to an operator to adjust operation of one or more mine operation devices depending on a density of events in the affected location area.

The present application relates to the field of data processing of landscape greening maintenance management, and particularly relates to a landscape greening maintenance planning method and system. The method comprises: obtaining multi-source maintenance data and generating a set of maintenance object portraits by association; extracting requirements and matching task windows to generate a set of maintenance requirements; generating a maintenance task priority queue by fusing multi-level sorting of complaint events, work windows and task pre-post relationships; performing resource matching, executing same-area task merging, cross-area route merging and task splitting for resource conflicts on the matching results to generate the best feasible maintenance planning scheme; mapping dynamic events into planned influence types to update the task queue and resource allocation, and feeding back the execution results to the portrait set to update the planning parameters, forming a self-evolving execution closed loop. The present application significantly improves the resilience of greening maintenance planning under dynamic interference and resource resilience, and realizes the intelligent upgrading from static scheduling to adaptive learning.

The invention discloses a new energy logistics network intelligent management system and method based on digital twinning, and relates to the technical field of logistics network management.The system senses abnormal events in a logistics network in real time, maps the events to a digital twinning body through semantic analysis, and adjusts the topological structure and operation parameters of the digital twinning network; on the basis of the digital twin network, a seepage model of abnormal event influence propagation is constructed, the infection probability and seepage centrality of network nodes are analyzed, and an abnormal influence thermodynamic diagram is generated; constructing a scene tree according to the abnormal influence thermodynamic diagram and the current scheduling plan, performing parallel simulation on each branch of the scene tree in a digital twin environment, and selecting an optimal scheduling strategy through target evaluation; and tracking an execution effect in real time, constructing an experience case library, and matching similar historical scenes through analogy reasoning to realize self-adaptive optimization of an exception coping strategy. The response speed is improved; and the robustness of the system is improved.

The invention provides a fault diagnosis method and device based on causal state space prompt, a medium and electronic equipment, and relates to the field of data processing, and the method comprises the steps: mapping each IT operation and maintenance event into an event feature vector; inputting the online state space model according to a time sequence, and outputting a potential hidden state corresponding to each time step; in response to the received IT operation and maintenance diagnosis request, mapping the potential hidden state corresponding to the current time step into a plurality of discrete state lexical elements; and splicing the problem description corresponding to the IT operation and maintenance service interruption, the IT operation and maintenance event occurring in the target time window and the plurality of discrete state lexical elements into a target prompt, and inputting the target prompt into the frozen large language model to obtain a fault diagnosis result. The method not only has the advantage of natural language reasoning of the large language model, but also avoids the illusion problem caused by limited context windows and missing of key causal information, and meanwhile, the use mode of freezing the large language model greatly reduces the training cost and the computing power consumption.

The application provides an event-based document retrieval method and device, electronic equipment and storage medium, wherein the method comprises: obtaining a user query statement of a user for a document set to be retrieved; inputting the user query statement into a pre-trained large language model to obtain a document retrieval result; wherein the large language model is obtained by training and optimizing a training sample data set composed of a document representation and a document identifier, the document representation is obtained by events and event relationships in the document set to be retrieved, and the document identifier is obtained by mapping the events in the document set to be retrieved to an event hierarchy. The method considers the relevance between document contents, effectively represents the document to be retrieved by using events and event relationships, and significantly improves the document retrieval performance of the large language model; the event hierarchy is used to construct a document identifier with a clear semantic structure, effectively strengthening the connection between the document identifier and the document content.

Aspects of the present disclosure relate to coherent containerized computing. More specifically, a method is described that includes obtaining an indication of a workload and an indication of an event. The method further includes mapping the event to a first container in a plurality of containers, where each container in the plurality of containers is configured for a different processor architecture, and where the first container is configured for a first processor architecture. The method also includes performing, by a first processing device configured with the first processor architecture, the workload by way of the first container.

The application discloses a video synchronization method and an electronic device, the method comprising: detecting an event of a vehicle, determining a corresponding event trigger frame of the event in a video stream, and generating a unique global event identifier for the event; determining a target frame based on a first video frame before the event trigger frame and / or a second video frame after the event trigger frame in the video stream; writing semantic event time information corresponding to the target frame into a video coding stream corresponding to the target frame through a supplemental enhancement information frame; wherein the semantic event time information comprises the global event identifier, a timestamp of the event trigger frame, and a relative time offset of the target frame relative to the event trigger frame; and sending the video coding stream carrying the semantic event time information to a cloud end, so that the cloud end establishes an event mapping relationship according to the semantic event time information, and a playing terminal aligns multiple video streams according to the relative time offset of the video frames with the event trigger frame as a time axis origin.

Systems, methods, and non-transitory media are provided for adjusting camera settings based on event data. An example method can include obtaining, via an image capture device of a mobile device, an image depicting at least a portion of an environment; determining a match between one or more visual features extracted from the image and one or more visual features associated with a keyframe; and based on the match, adjusting one or more settings of the image capture device.

Embodiments of the present application provide a document semantic consistency monitoring and updating processing method and device. The method comprises: determining a baseline event package corresponding to a release source of a document by using a preset large language model; based on the baseline event package, extracting a clause-level entity node in the file by using the large language model, constructing a dependency edge with metadata, and forming a knowledge graph of clause-level risk dependencies; obtaining a change event of the document, mapping the change event to the knowledge graph, calculating a risk score of an affected clause in the knowledge graph, and determining a structured risk report based on the risk score; executing a hierarchical response based on the structured risk report to generate revision suggestions, obtaining confirmed revision content as a response result, and performing versioned updating of the knowledge graph based on the response result, and performing adaptive learning and optimization of the large language model by using the response result. The scheme of the present application solves the problems of poor timeliness, high semantic risk and low updating efficiency of the document.

The invention discloses a data security management and control method and system, which are applied to a network security system comprising a plurality of data source nodes and a central management and control node. The method comprises the following steps: gathering multi-source original security data through a central management and control node, and configuring a data source type symbol and an association or influence characteristic value for each node; according to a preset association threshold set associated with the data source type, the center node comprehensively processes the information, and constructs a system-level security situation association chain representing different security domains, asset groups and logical association among the different security domains and asset groups in the network; and finally, the specific security event or log is dynamically allocated to the specific logic security space or asset container identified by the chain. The corresponding system comprises a plurality of collaborative modules such as data aggregation and feature association, strategy library interface, associated event identification, security chain set derivation, situation topology synthesis, security event mapping and dynamic control strategy. According to the method, the transformation from fragmented alarm to global situation cognition is realized, a complex attack chain can be effectively identified, context-based accurate dynamic response is supported, and the automation and intelligence level of safe operation is improved.

The application discloses a resource state event aggregation method and device, electronic equipment and a storage medium, and aims at solving the technical problems that the original Kubernetes resource state event is limited by storage, the storage period is short, and the extraction efficiency is low. The application comprises the following steps: creating a resource state event of a preset cluster resource; mapping the resource state event to a preset message queue; extracting the resource state event in the preset message queue, and generating a compressed index of the preset cluster resource; and aggregating the resource state event according to the compressed index to obtain an aggregation result of the resource state event.

Embodiments of the present disclosure provide a prompt learning-based encrypted event classification method and system. Applied to the field of encrypted event classification; the method comprises: according to a preset encrypted event mapping dictionary, mapping each encrypted number in the encrypted event into a Chinese character respectively to obtain an encrypted text with Chinese characters; performing word segmentation on the encrypted text with Chinese characters to obtain a subword sequence; retraining a bert pre-training model by taking the subword sequence and the corresponding mask label as a training set to obtain a retrained bert pre-training model; organizing the encrypted event and the corresponding encrypted event category label in the form of a pre-defined template; further training the retrained bert pre-training model by taking the encrypted event and the corresponding encrypted event category label organized in the form of a template as a training set to obtain an encrypted event classification model. In this way, the classification of encrypted events is realized, and the accuracy of encrypted event classification is improved.

The invention discloses an enterprise production cost accounting system perceived by the Internet of Things, and relates to the technical field of data processing. During operation of the system, original perception data are mapped into production events with cost semanteme, and a production event flow output by a semantic event mapping module is received and processed; and the real-time fusion calculation of the dynamic data and the static cost model is realized based on event driving so as to output a real-time cost flow, and the real-time cost flow is output through a preset abnormal state pattern library and an efficiency baseline model based on the equipment operation state time sequence data acquired by the Internet of Things perception acquisition module and the production event sequence output by the semantic event mapping module. And the hidden cost quantification module identifies and quantifies the hidden cost generated by non-value-added operation of the equipment, carries out aggregation, visualization and structured output on the real-time cost flow output by the dynamic cost tracing module and the hidden cost report output by the hidden cost quantification module, and provides a standardized data interface for an enterprise resource planning system or a manufacturing execution system.

Techniques are provided for electronic document management in a computing environment. A business unit and a document type determined for an electronic document may be used to determine that an electronic document is required to adhere to an event-based retention policy. An entry for the document can be created in an event-mapping data structure. Events and actions that occur at each system of record can be tracked by generating an entry in an event tracking data structure. The system of record and attribute value from each entry in the event tracking data structure may be utilized to identify matching entries in the event-based mapping data structure. The expiration date in a matching entry, which corresponds to an electronic document, can be updated using the event date in the event tracking entry and the duration of the event-based retention policy included in the matching entry.

System and methods for processing state-based network packets are described herein. Processing of network protocol packets can include classifying events associated with the network protocol packet based on a current, internal protocol state and event type. The techniques may map these events to actions. For instance, the techniques may map these incoming events to specific indices within a TCAM. The indices may be used to lookup “actions” encoded within an SRAM. The system may utilize these actions to generate one or more outgoing messages as well as determine possible “next” state transitions. Accordingly, by utilizing contents of a TCAM and SRAM, the techniques may facilitate dynamic and flexible programmability of processing network protocol packets.

Techniques are provided for electronic document management in a computing environment. A business unit and a document type determined for an electronic document may be used to determine that an electronic document is required to adhere to an event-based retention policy. An entry for the document can be created in an event-mapping data structure. Events and actions that occur at each system of record can be tracked by generating an entry in an event tracking data structure. The system of record and attribute value from each entry in the event tracking data structure may be utilized to identify matching entries in the event-based mapping data structure. The expiration date in a matching entry, which corresponds to an electronic document, can be updated using the event date in the event tracking entry and the duration of the event-based retention policy included in the matching entry.

Systems and methods for analyzing event data to determine an event pattern, and then determining a user persona are disclosed. The method may include, such as by one or more processors: (i) receiving event data; (ii) determining an event mapping based upon the event data; (iii) converting the event mapping into an event numeric array; (iv) converting the event numeric array into an event vector; (v) receiving stored event vectors from data stores; (vi) inputting the stored event vectors and the event vector into trained machine-learning models; (vii) receiving a predicted scenario vector from the trained machine-learning models; (viii) receiving stored scenario vectors from the data stores; (ix) inputting the stored scenario vectors and the predicted scenario vector into the trained machine-learning models; (x) receiving a scenario embedding from the trained machine-learning models; (xi) predicting a persona marker based upon the scenario embedding; and / or (xii) outputting the persona marker.

The invention relates to the field of psychological teaching, in particular to a psychological teaching strategy evolution method based on dredging effect feedback. The method comprises the steps that a pressure situation label sequence is generated by obtaining a project teaching event log and combining a pressure situation word list and an event mapping table, meanwhile, reliability evaluation is conducted on a student psychological portrait field set, and an acquisition session configuration package is constructed; performing pre-test snapshot construction and grooming strategy assembly to form an intervention execution package; acquiring and aligning the intervened observation windows, and generating a comparable effect vector packet; carrying out tendency score calculation and dual robust estimation based on the effect vector packet to form a strategy evaluation record; and finally, updating the strategy evolution library according to the strategy evaluation record and generating a strategy analysis report. According to the method, comparable evaluation and iterative evolution of the dredging strategy under different pressure situations and psychological portraits are realized, and improvement of the stability and consistency of strategy adjustment and management in psychological teaching is facilitated.

This invention belongs to the field of graphics rendering and human-computer interaction technology, specifically a multi-view cross-process rendering method and system based on the Godot engine. The method includes: creating multiple independent rendering views within a single Godot engine instance; receiving handles to display surfaces created by external processes and establishing a one-to-many mapping between views and display surfaces; directing the rendering results of each view to one or more bound display surfaces; receiving input events containing source surface identifiers, finding the target view based on the mapping relationship, and accurately mapping the event coordinates to the target view coordinate system using a coordinate transformation algorithm that aligns the center point and scales the dimensions, then distributing the events to the corresponding interaction nodes. This invention ensures consistency in multi-screen display through a single-instance multi-view architecture, and significantly improves the interaction accuracy and reliability of multi-screen systems through precise cross-coordinate system event mapping and a multi-source input conflict arbitration mechanism.

The present application relates to the technical field of information security, in particular to a network attack chain identification method, computer equipment and storage medium. The method collects log data of network security events for normalization processing; detection is performed through a security analysis engine; if a hit correlation analysis rule is found, security information is completed for assets, events are classified, and attack stages are completed; according to a security event set, a corresponding asset information set is extracted, and network security behavior events related to the asset set within a period of time are traced back; all network security behavior events meeting the conditions are constructed into a directed acyclic abnormal event graph according to source assets, affected assets and the earliest occurrence time, the optimal security event link sequence is selected as the attack stage link, and the remaining security events are mapped into each attack stage. A relatively complete and accurate attack chain can be constructed to support managers in handling work.

This invention relates to the field of data processing in landscape greening maintenance management, and particularly to a method and system for landscape greening maintenance planning. The method includes: acquiring multi-source maintenance data and associating it to generate a profile set of maintenance objects; extracting requirements and matching task windows to generate a maintenance requirement set; generating a maintenance task priority queue by integrating complaint events, work windows, and multi-level sorting of task pre- and post-task relationships; performing resource matching, and performing tasks within the same region, cross-regional route merging, and task splitting for resource conflicts on the matching results to generate the best feasible maintenance planning scheme; mapping dynamic events to plan impact types, updating the task queue and resource configuration accordingly, and feeding back the execution results to the profile set to update planning parameters, forming a self-evolving execution closed loop. This invention significantly improves the adaptability and resource resilience of greening maintenance planning under dynamic disturbances, realizing an intelligent upgrade from static scheduling to adaptive learning.

The application provides an adaptation development method and device based on multiple IDEs, electronic equipment and program product. An adaptation communication module is used to listen to an IDE native event, and the event is converted into a standardized request according to an event mapping rule. A central logic module is used to execute target business logic according to a general specification and encapsulate a standardized response. Finally, the adaptation communication module is used to convert the standardized response into an IDE native API calling instruction according to an environment mapping rule. The technical means shields the event and API heterogeneity of different IDEs, realizes the decoupling of the core business logic and the IDE, achieves "one development and multiple IDE reuse", greatly reduces the development and maintenance costs, guarantees the consistency of the functions and interfaces of the IDE plug-ins, simplifies the installation and upgrade operations of the users, improves the use experience, provides a convenient adaptation path for supporting the newly-added IDEs, and enhances the expansibility.

This disclosure provides a method, apparatus, and electronic device for implementing a spiking neural network for event stream data, relating to the field of digital integrated circuits. The method includes: receiving event stream data; discretizing the event stream data according to a preset fixed time step; caching and retrieving the discretized event stream data in batches including multiple time steps; mapping events in each batch to indices of input neurons to generate an input spiking matrix; performing matrix multiplication and addition operations on a preloaded weight matrix and the input spiking matrix through a reconfigurable computing array in a hardware acceleration unit to obtain a postsynaptic current matrix; and updating the membrane potential state of neurons in parallel according to the postsynaptic current matrix and generating an output spiking matrix.

The invention discloses an event processing method and device, a computer readable storage medium and a program product. The event processing method comprises the following steps: acquiring reported event information; performing standardization processing on the event information, including mapping an event occurrence place with a pre-generated grid map, and obtaining standardized position point information corresponding to the event occurrence place; the standardized position point information corresponding to the event occurrence place comprises an operation area where the event occurrence place is located, an operation road section where the event occurrence place is located, a house number corresponding to the event occurrence place and a building name corresponding to the event occurrence place; and establishing a time-event mapping relation based on the event information after standardization processing. According to the scheme, the accuracy of the event statistical result can be improved.

The present application relates to the technical field of configuration editing, in particular to an intelligent page editing method and system based on component dynamic generation, comprising: extracting data binding, event response and rendering rules by analyzing teaching component codes to generate JSON Schema, event mapping table and view template, and storing them in a database after logical optimization and intelligent completion. Setting priority rules of device performance, user intention and domain knowledge, generating preliminary strategy instructions by combining stored data with a rule engine, and predicting component combination probability through machine learning to fuse and generate the final strategy. Based on the strategy instruction, the component is dynamically loaded to generate a DOM tree, and the page interaction data is collected and fed back to the rule engine to form a strategy optimization closed loop. This method realizes the dynamic generation and intelligent adaptation of teaching components, and improves the flexibility and cross-end adaptation capability of page editing.

The application relates to the technical field of network security and intelligent attack and defense analysis, and provides an attack chain analysis and defense strategy generation method, system, device and medium. The method comprises the following steps: collecting attack and defense event data to form an event set; mapping each event in the event set to a TTP to form a characteristic event; constructing an attack chain time sequence causal diagram based on the characteristic event; performing causal intervention calculation based on the constructed attack chain time sequence causal diagram to quantize defense effectiveness; iteratively generating a defense strategy based on the defense effectiveness and through reinforcement learning; and updating the attack chain time sequence causal diagram by verifying the generated defense strategy. The application eliminates pseudo-correlation by constructing an attack chain time sequence causal diagram, performs lossless defense efficiency evaluation, and finds a globally optimal defense strategy through reinforcement learning, thereby solving the problems of how to mine attack causal chains from complex security events, quantitatively evaluate defense measures, and intelligently generate optimized strategies.

Systems, methods, and non-transitory media are provided for adjusting camera settings based on event data. An example method can include obtaining, via an image capture device of a mobile device, an image depicting at least a portion of an environment; determining a match between one or more visual features extracted from the image and one or more visual features associated with a keyframe; and based on the match, adjusting one or more settings of the image capture device.