587 results about "Event pair" patented technology

A method for generating predictive and event-based action recommendations includes receiving, from at least one data source, input data representative of a user; classifying, using a first machine learning model, the input data based on one or more personas representative of user characteristics to generate classified input data; identifying, from the input data, at least one event associated with the user; and generating, based on the at least one event and the classified input data, a personalized recommendation for the user using one or more second machine learning models, wherein the personalized recommendation comprises a set of actions predicted to achieve the goal based on the impact on the goal caused by the at least one event.

A computer-implemented method executed using one or more processors of an incident management system, the computer-implemented method comprising accessing one or more data sets of information associated with an incident event corresponding to an incident associated with a computer system; generating a prompt based on the one or more data sets of information, wherein generating the prompt comprises generating a plurality of sub-prompts to be provided to a machine-learning model for generating a report of the incident event in accordance with a predetermined criteria; inputting the prompt into a machine-learning model that has been trained to generate a report of the incident event based on the prompt; outputting, by the machine-learning model, the report of the incident event, wherein the report comprises an analysis of the incident event; transmitting the report to one or more computing devices associated with the computer system.

The invention relates to a replay playback display control method based on event tracing, which is suitable for event analysis and playback control in a simulation deduction process, and comprises the following steps: inputting a key event; event data analysis; key events are dynamically displayed; deducing situation backtracking; performing playback control; subscribing and pushing key events; tracing an evaluation result; and deducing data association analysis. According to the method, the playback experience of the user is improved, the user can subscribe specific key events, the system pushes event results in real time in the deduction process, multi-path analysis is carried out through different conditions, the evaluation results are visually displayed and traced, and the user is helped to comprehensively analyze the influence of the key events on deduction.

The invention discloses an event association analysis method and system based on a large language model and a pre-training model, and the method comprises the steps: carrying out the sentence segmentation and segmentation processing of each event, inputting the processed events into a large language model, and generating the sentence representation of an event pair; aggregating global expressions of paragraphs and sentence levels of the event by the large language model; retrieving a semantic paragraph related to the current event; splitting the event reasoning task into a plurality of steps, wherein each step corresponds to a specific reasoning task in event association analysis; generating a possible reasoning path, and performing marginalization processing on the reasoning path; the multiple reasoning paths are evaluated at the same time, the most reasonable reasoning result is obtained and serves as input, and a final classification result is generated through weighted fusion; and according to a classification result, determining a specific relationship type between the event pairs, and outputting a determination result of a causal, sequential or hyponymy relationship between the events. According to the method, the complex relationship between events can be more accurately captured.

The invention discloses an electronic commerce product live broadcast selling voice monitoring method and system, and relates to the technical field of voice monitoring, and the method comprises the steps: carrying out the sound source separation of a live broadcast audio stream, extracting an anchor sound track, and generating a structured semantic unit; constructing a knowledge graph, calculating cosine similarity between entities in the semantic unit and nodes of the knowledge graph, updating the knowledge graph, and calculating illegal path propagation probability; dynamically adjusting a time window according to the entity density of the semantic units, aggregating the semantic units in the window to generate event objects, detecting associated event pairs, and combining to form an event chain; according to the method, the comprehensive risk value of the current live broadcast is calculated through the maximum violation path propagation probability, the total duration and the audience report frequency of the event chain, the risk level is divided according to the comprehensive risk value, and the hierarchical response measure is executed, so that the problems of difficulty in hidden violation verbal skill identification and weak cross-time violation element association in e-commerce live broadcast selling are solved, and the user experience is improved. And the accuracy and integrity of illegal behavior monitoring are obviously improved.

The invention relates to a concurrent task processing method and device based on an event-driven architecture, computer equipment, a storage medium and a program product. The method comprises the following steps: receiving concurrent service events which are fed back by an event generation service component and respectively correspond to different service operations, publishing the plurality of concurrent service events to a message queue, and respectively carrying out event classification processing on the plurality of concurrent service events in the message queue according to a trained event classification model, and obtaining an event type corresponding to each concurrent service event, and determining the event type as a service theme corresponding to the concurrent service event. And in response to subscription requests triggered by different event consumption service components for the business theme, asynchronously feeding back at least one concurrent business event associated with the business theme to the event consumption service components, and asynchronously executing task operations corresponding to the concurrent business events through the different event consumption service components to obtain task execution results. By adopting the method, the concurrent task processing efficiency can be improved.

The invention provides an equipment state detection method and device, equipment and a medium, and is applied to the technical field of equipment state detection.The equipment state detection method comprises the steps that a target event counter corresponding to a target event is enabled based on configuration information of a control register, and an event statistical period corresponding to the target event counter is determined, the target event is an event selected from various events obtained based on equipment state classification; counting the occurrence frequency of the target event in the event counting period based on a target event counter; and writing the occurrence frequency into a result register, so that a host acquires the occurrence frequency in the result register, and realizes equipment state detection based on comparison between the occurrence frequency and an expected value corresponding to the target event. Therefore, equipment state detection can be flexibly carried out, possible faults of the equipment can be found in advance, and timely problem finding is guaranteed. Moreover, by enabling the target event counters corresponding to various events, comprehensive detection of the equipment state can be realized.

The embodiment of the invention discloses a terminal application behavior data analysis method and computer equipment, and the method comprises the steps: obtaining an interaction behavior data set of an RPA terminal application in a preset time window, the interaction behavior data set comprising a plurality of interaction behavior sequences, each interactive behavior sequence comprises at least one user interface operation event and a corresponding system response event; performing behavior track analysis processing on the interactive behavior data set, and extracting an interface circulation feature and an operation intention feature of each interactive behavior sequence; generating an interface optimization strategy according to the relevance between the interface circulation feature and the operation intention feature, wherein the interface optimization strategy comprises an interface layout adjustment rule and an interface response logic optimization rule; and feeding back the interface optimization strategy to a background management system of the RPA terminal application. Therefore, the problem that an existing RPA application interaction interface is insufficient in design and optimization can be effectively solved, and the usability of the interface and the response capability of the system are improved.

The invention discloses a building construction quality on-line monitoring system based on digital twinning, particularly relates to the field of building engineering informatization, is used for solving the problem of quality judgment deviation caused by dislocation breakpoints of multi-source evidences on a construction site, and is characterized in that a process event label is triggered through an event anchoring module to limit a window boundary and record an event identifier; the object binding module is used for immediately binding and generating object event table alignment records according to a component identity list and a positioning line, and the sequential judgment module is used for extracting a video key point frame and a sensing track, calculating an action synchronization difference and a form coincidence difference, constructing a deviation sequence and inputting the deviation sequence into a single-side CUSUM to obtain a judgment signal and fragment positioning; the judgment issuing module reads a signal calling rule base to generate quality judgment disposal guidance and recheck script issuing execution, and the recheck write-back module receives result write-back, lightly updates a fragment boundary and responds to a neighborhood record version to realize compact transmission from evidence obtaining to judgment execution to write-back so as to form a stable and traceable quality closed loop.

The invention relates to the field of data processing, in particular to an accelerator-oriented multi-task processing method and a related device. The method comprises the steps of obtaining a to-be-executed data processing task; distributing each to-be-accelerated task in the data processing task to a respective corresponding task acceleration flow; each task acceleration flow is used for independently managing the corresponding to-be-accelerated task; creating a target event corresponding to the data processing task; a dependency relationship among the tasks to be accelerated is added in the target event, so that the tasks to be accelerated with the dependency relationship are synchronously managed among the task acceleration flows; adjusting each task acceleration flow in real time through the target event so as to optimize the utilization rate of each task acceleration flow; and outputting a task calculation result obtained by executing each task acceleration flow, and realizing parallel acceleration among the to-be-accelerated tasks. The method can improve the task execution efficiency, improve the utilization rate of accelerator resources, avoid waste of the accelerator resources and improve the user experience.

The invention discloses a financial abnormal event analysis method, electronic equipment, a medium and a product. The method comprises the steps of obtaining at least one financial clue event, and performing structured element extraction and standardization processing on each financial clue event to obtain a standardized event behavior sequence; performing semantic feature and behavior pattern analysis based on the normalized event behavior sequence, performing event reasoning rule recall in combination with a pre-constructed event reasoning library, and determining a recalled rule set; generating an abnormal event analysis execution plan based on at least one inference rule in the rule set; querying original data in the data system according to an inference rule included in the abnormal event analysis execution plan, generating a data view, executing the abnormal event analysis execution plan based on the data view, and generating an inference execution result set and execution path information; and an event reasoning analysis result is generated according to the reasoning execution result set and the execution path information, and the problems of complex abnormal event analysis modeling, low interpretability and the like are solved.

The invention discloses a server configuration method and system, a server, equipment and a medium, and relates to the technical field of computers.The method comprises the steps that a configuration file sent by a front-end tool is received and analyzed through a unified configuration service interface, and a to-be-configured item and to-be-configured information corresponding to a current configuration event are obtained; obtaining an execution topological structure chart matched with the current configuration event; according to the execution topological structure diagram, sending a modification instruction carrying to-be-configured information to a to-be-configured module in a server; and according to a preset event atomization configuration rule, if any to-be-configured module runs abnormally, rolling back each to-be-configured module corresponding to the current configuration event to the previous configuration version. Centralized management of configuration is realized through a unified configuration service interface; and through the event atomization configuration rule, the consistency of the overall configuration state is ensured. The problem that the current configuration automation degree is low can be solved, and the effect of improving the configuration automation degree and the configuration efficiency is achieved.

The invention relates to an information display method and device, electronic equipment, a computer readable storage medium and a computer program product, and relates to the technical field of Internet of Things. The information display efficiency of the time axis of the information display page to the event can be improved. The method comprises the steps that an information display page is displayed, the information display page comprises a time axis corresponding to monitoring data, the monitoring data comprises monitoring data obtained through monitoring of target equipment and / or associated equipment, and the associated equipment is equipment associated with the target equipment; and if the target event exists, according to the event time and / or the event type of the target event, an event identifier and event information corresponding to the target event are displayed on the time axis according to the target style, and the target event is obtained by identifying the monitoring data.

The invention discloses a multi-version upgrading method and device based on distribution, equipment and a medium, and relates to the technical field of distribution. The method comprises the following steps: in response to a version upgrading operation event of a target object, performing metadata marking, multi-modal verification and increment extraction on the target object to obtain version upgrading data and a version upgrading type of the target object; wherein the target object comprises system data, a second-open script and an application source code; acquiring a baseline version of the target object from a multi-mode version database according to a version identifier in the version upgrading data; based on the version upgrading type, determining a target version of the target object according to the version upgrading data and the baseline version; and performing compatibility verification on the baseline version and the target version to obtain a compatibility evaluation report of the target version, and deploying the target version according to the compatibility evaluation report. According to the technical scheme, the reliability and efficiency of system version iteration can be improved.

The invention relates to the technical field of photoelectric detection and visual application, in particular to an event stream denoising method and device, and the method comprises the steps: obtaining the event stream information of weak target motion under an extreme illumination condition; constructing a two-dimensional array event stream quantity presentation graph according to the event stream information so as to accumulate event stream data of each pixel position; performing convolution operation on the event stream data by using a neighborhood filter to obtain a matrix neighborhood event; de-noising the event stream data according to the matrix neighborhood event to obtain de-noised event stream data and an aggregation degree value of the de-noised event stream data; and iteratively executing convolution and de-noising processes on the de-noised event stream data until the aggregation degree value is in a rising trend to obtain noiseless event stream data. Therefore, the problems that the asynchronous event stream output by the event camera contains a large amount of noise, the visualization quality of the event stream is affected, the sensitivity of brightness change detection caused by object movement is reduced, and information loss is caused are solved.

The invention discloses a multi-modal data driven dynamic pressure test scene generation method and system, and the method comprises the steps: carrying out the event extraction and matching of a user operation log and a full-link API call sequence, and carrying out the feature enhancement of each alignment event pair, and obtaining a local feature vector; statistical features are extracted from each user session, a graph attention network is constructed, and a group feature matrix is obtained; obtaining a global incidence matrix according to the mapping between the service load and the resource consumption; and splicing the user session feature matrix and the group feature matrix to generate group enhancement features, performing matrix multiplication on the group enhancement features and the global incidence matrix to obtain system-level risk features, splicing local feature vectors and the encoded user behavior logs, splicing the system-level risk features and the encoded performance indexes, and obtaining the user behavior log. And finally, carrying out multi-source fusion to generate a pressure measurement scene. The simulation precision, the dynamic adaptive capacity, the abnormal reproduction capacity, the resource utilization rate and the like are remarkably improved.

Systems and methods for federated learning including validation of training data on client devices before training models based on the training data. In some aspects, the system accesses local data to be used for training a local model on a client device. The system generates event metadata corresponding to events in the local data. The event metadata is based on validation data received from an external server. The validation data is inaccessible to a central server. The system determines to exclude a portion of the local data that is not validated by the event metadata and generates validated local data. The system trains the local model based on the validated local data. The system processes, using a data de-identification function, the event metadata to generate de-identified event metadata. The system transmits the local model and the de-identified event metadata to the central server.

The invention provides a traffic incident cascade influence prediction method and device, and a storage medium, and the method comprises the steps: introducing a plurality of granularities in time and space through a space-time multi-granularity graph, carrying out the modeling of a road network, and marking the monitoring direction of a sensor and the relation between roads, so as to achieve the directional constraint and long-range association. And distinguishing and dividing the observation time window into data differences before and after event verification and before and after the occurrence of the concerned event. Data are represented hierarchically and fused, and space-time multi-granularity fusion is performed through an attention mechanism layer, so that the expression ability of the model is enhanced, and the calculation complexity is reduced. And finally, distinguishing the feature sequence before verification and the feature sequence after verification for the data, introducing an event influence degree matrix to quantify the influence degree of the traffic event on different regions, and inputting the influence degree into a traffic event cascade influence prediction module to output the node position and time period of the influenced road under the traffic event.

The invention discloses an event-driven business agent dynamic construction method and equipment, belongs to the technical field of intelligent application, and is used for solving the technical problems that the intelligent transformation cost of a traditional business system is high, and a manually constructed business agent is logically solidified and cannot quickly cope with business requirements and environment changes. The method comprises the following steps: monitoring a service event occurring in a service system, obtaining corresponding service event information and extracting upstream service context information corresponding to the service event; identifying a downstream service of the service event in the service system according to the service event and the upstream service context information, and acquiring service information of the downstream service; based on the business event information and the business information of the downstream business, constructing a business agent for executing the downstream business action, and storing the business agent to a business agent center; and when the new business event is monitored, a corresponding business agent is matched in the business agent center, so that the business agent executes a downstream business action triggered by the business event.

The invention discloses a computing power resource scheduling mode identification method, and relates to the technical field of data processing. Comprising the following steps: collecting scheduling log data and resource state data; constructing computing power resource scheduling mode recognition training data; marking the computing power resource scheduling mode recognition training data; preprocessing the computing power resource scheduling mode recognition training data; and training a computing power resource scheduling mode recognition model, and performing computing power resource scheduling mode recognition. By designing a space-time joint encoder, fusing event type embedding and resource state differential, and accurately modeling a synchronous response relationship between event triggering and resource state change, the limitation of simply splicing events and state vectors in the traditional technology is broken through, the instantaneous influence of the events on the resource state is more accurately captured, and the resource state change is more accurate. Therefore, the pattern recognition precision is improved.

The invention discloses a scene generation method and device for a nuclear power unit simulator, equipment and a medium. The method comprises the steps that the number of target operation events in a target simulation scene and corresponding event screening conditions are acquired; wherein the number of the event screening conditions is the same as that of the target operation events, and different operation events correspond to different operation conditions of the nuclear power unit; according to the event screening condition, determining an event selection range of each target operation event in a pre-constructed operation event database, and determining a corresponding target operation event from candidate operation events corresponding to each event selection range; wherein the target operation events corresponding to different event selection ranges are different, and the event attribute information corresponding to each target operation event is different; and combining and generating the target simulation scene based on each target operation event. According to the technical scheme, automatic combination of diversified simulator scenes is realized, and the workload of simulator teachers is reduced.

The invention relates to the technical field of data processing, in particular to an intelligent post screening management system based on AI big data, which is provided with a history determination module, an event analysis module, a preliminary analysis module and a retrieval module. Extracting a key event according to an event response standard, and recording event information corresponding to the key event; according to the condition association probability of the keywords corresponding to the resume information and the job application information in the event information, determining the association relationship of the keywords, and constructing an association relationship database; analyzing the resume information uploaded by the user side, identifying the distribution characteristics of each associated keyword, calculating an associated dense representation parameter according to the distribution characteristics, and setting a distribution label for the resume information; according to the method, the job application information is adaptively retrieved according to the distribution labels, so that on the premise that the data reliability is guaranteed, the screening and matching data volume is reduced, and the screening and matching efficiency and accuracy are improved.

The embodiment of the invention provides a fault processing method and device, a storage medium and a program product. In the fault processing method, when a processor core in the multi-core processor system has a target fault event, an operating system kernel can call target firmware to send an event notification signal to a target processor core, so that the target processor core enters an interruption state and is switched to a kernel state. Thereafter, a target callback function corresponding to the target fault event may be executed on the target processor core to save execution context data prior to entering the interrupt. Wherein the priority of the interrupt corresponding to the event notification signal sent by the target firmware is higher than that of the interrupt managed by the kernel of the operating system, so that the event notification signal is not shielded by the interrupt managed by the kernel of the operating system, and the event notification signal has a certain forcing characteristic; the process that the target processor core stores the execution context data before entering the interrupt is not interfered by an interrupt signal managed by an operating system kernel.

The invention discloses an event causal relationship identification method based on iterative graph prompt learning, and belongs to the technical field of natural language processing. Comprising the following steps: constructing an initial definite causal graph; based on the initial definite causal graph, performing context modeling on a to-be-recognized text, extracting multi-path information of each event pair in the to-be-recognized text, and inputting the multi-path information into a generative language model to perform causal relationship generation to obtain an initial causal relationship result; based on the initial causal relationship result, adopting a graph structure constraint mechanism to carry out multiple rounds of iterative optimization on the initial definite causal graph, dynamically selecting an edge according to confidence, updating the initial definite causal graph, judging whether an iteration termination condition is met or not, and stopping iteration when the iteration termination condition is met to obtain an optimized definite causal graph; and obtaining an event causal relationship result of the to-be-identified text based on the optimized definite causal graph. According to the method, the event causal relationship identification accuracy is improved.

The invention relates to an information display method and device, electronic equipment, a computer readable storage medium and a computer program product. The method comprises the steps of displaying an event guide entry in response to a condition that target equipment meets a preset trigger event; the event guide entry is used for indicating event push information corresponding to the trigger event; in response to a trigger operation on the event guide entry, event reply information responding to the event push information is displayed; the event reply information is obtained by analyzing the event push information and the equipment information of the target equipment. By adopting the method, the intelligence of pushing the information related to the equipment can be improved.

The invention provides a multi-platform data real-time synchronization method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an event generated by user operation and platform data change; analyzing the event and forming event information; classifying the event information, generating a synchronization task based on a classification result, and establishing a task queue by using the synchronization task; acquiring a synchronization task related to user access from the task queue, and deploying a prediction model at an edge node close to a user according to user behavior characteristics and historical access data in the synchronization task; acquiring a synchronization task related to the key data change from the task queue, and executing a distributed consensus protocol on the key data change, so that a plurality of platform nodes are consistent with the update state of the key data; and distributing the updating state after the consensus confirmation to a plurality of platform nodes. According to the invention, the delay can be reduced, the accuracy of data synchronization can be improved, the load can be reduced, and the real-time performance and consistency of data synchronization can be improved.

Disclosed are a target object persona construction method and system, and a storage medium, which are applied to the technical field of information, and can dynamically update a target object persona in real time and effectively improve the precision of the target object persona. The method comprises: analyzing target object usage behavior events, and constructing behavior event data, the behavior event data comprising a plurality of target object behavior events; on the basis of the behavior event data, creating a first behavior tree, the first behavior tree comprising a plurality of behavior nodes, and the behavior nodes corresponding to the target object behavior events; acquiring target object behavior data by means of a preset event-driven model, so as to update the first behavior tree on the basis of the target object behavior data and generate a second behavior tree; and constructing and obtaining a target object persona by means of analyzing the second behavior tree.

The invention provides a memory performance monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of performance monitoring. The method comprises the following steps: collecting a plurality of pre-selected performance events; dividing the performance events into different signal categories based on the physical signal characteristics corresponding to the performance events; assigning the performance events to a predefined event group; and based on the signal category of each performance event, performing statistical operation corresponding to the signal category on the performance events in the event group. According to the scheme, classification processing of the performance events can be realized, and grouping statistical operation is performed by using the signal categories, so that the accuracy of memory performance monitoring and the resource utilization efficiency are improved.

The invention provides a key event discrimination method and system based on a hierarchical processing architecture, and the method comprises the steps: obtaining reported events from different channels, carrying out the data preprocessing of the reported events, obtaining processed event texts, and classifying the event texts; clustering the classified texts by adopting a semantic regularization agglomeration hierarchical clustering method; and according to a clustering result, utilizing an in-cluster entity keyword extraction and comparison mechanism to discriminate repeated events in the text to obtain a key event discrimination result. According to the key event identification method provided by the invention, a classification-clustering-discrimination hierarchical processing architecture is constructed, the technical problem existing in one-event multi-report screening is effectively solved, and finally, the screened repeated report events are taken as key events needing to be marked. Therefore, related managers can preferentially dispose the key events or give full attention to the key events.

The embodiment of the invention discloses a method for analyzing a root cause of a user carrying network and electronic equipment, and the method comprises the steps: determining a first weight of each event in a personalized service process based on the personalized service process of a to-be-analyzed user and basic weights of a plurality of events, for example, the basic weight, and further, determining a second weight of each event in the personalized service process; according to the method, the basic weight of each event in the personalized service process is corrected, the corrected weight of the event reflects the influence degree of the event on the to-be-analyzed user carrying network, and further, the root cause (or root cause event) of the to-be-analyzed user carrying network is determined based on the corrected weight of each event in the personalized service process. According to the method, the root cause of the carrying network of the user can be analyzed differentially, and the accuracy of root cause identification is improved.