97 results about "Event object" patented technology

A data management system may include data connectors configured to establish connections with access control systems and receive heterogeneous metadata related to the data access history. The system may include a transformer that stores graph objects in memory. The graph objects may include application account nodes representing application accounts associated with the domain and resource nodes representing data resources associated with the domain. The system may further store event objects. The system may render for display a data access graph that illustrates a data permission traversal path from a source node to a particular data resource. The data permission traversal path may include a graphical representation representing the particular application account having permission to access the particular data resource. At least a portion of the graphical representation may be rendered according to the data access activity level of the particular application account accessing the particular data resource.

The invention discloses a network security information analysis and statistics method based on a regulation and control cloud platform. Protocol identification, standardized mapping and blood relationship marking of multi-source security equipment data are realized through an edge layer protocol adaptation cluster and a metadata self-registration mechanism; constructing a real-time streaming and batch processing dual-channel framework based on regulation and control of cloud platform container resources, and fusing to generate a standardized security event object with a frequency weight and a hazard coefficient; designing a main ring-emergency ring double-path decision closed loop, respectively processing conventional events and high-risk threats, and realizing knowledge base iteration; extracting features by using a containerized architecture in combination with an XGBoost + isolated forest integrated model, detecting threats and generating rules; and a space-time-system-risk four-dimensional visualization engine is constructed, attack path drawing, event evolution display and high-risk area prediction are realized, and a management closed loop is formed. According to the network security information analysis and statistics method based on the regulation and control cloud platform, the intelligence and automation level of network security information analysis and statistics is improved.

The invention provides a distributed event processing method and electronic equipment, which can be applied to the field of distributed technologies. The distributed event processing method comprises the following steps: receiving an event processing request at a request receiving entrance of a distributed system, and searching a priority and a mutual exclusion execution type corresponding to an event type from a preset event registration library according to an identifier representing the event type in the event processing request; based on the priority and the timestamp of the event processing request, inserting an event object obtained after packaging the event processing request into a priority scheduling queue; after an event object used for execution is extracted from the priority scheduling queue, conflict detection is carried out on a mutual exclusion execution type corresponding to the event type based on a global mapping table maintained in the distributed system; and under the condition that the conflict is not detected, calling a service processor corresponding to the event type to execute the event object, and updating the current execution count of the event type in the global mapping table based on the execution state.

Systems and methods for performing anomalous activity monitoring for a service provider network are disclosed. In response to receiving an activity log, a machine learning-based activity monitor may parse the activity log into segments, generate event objects from a segment of the activity log, encode the event objects, and then reconstruct the event objects based on decoding the encoded event objects. The encoding and decoding may be performed based on a model that was trained using training data with no known malicious activity. The event objects may comprise at least two or more event defining characteristics and an event count. By comparing the reconstructed event objects to corresponding initial versions of the event objects, the machine learning-activity monitor may determine an anomaly score and may provide an indication of events determined to be anomalous based on the score.

The invention relates to the technical field of industrial control automation, and discloses an event-driven embedded software architecture implementation method and system, and the method comprises the steps: creating a resource object priority group, and initializing a data structure for managing a theme subscription state; allocating priorities for resource objects in the system, and registering each resource object into a priority group of the corresponding priority; subscribing the theme for the resource object, and recording subscription information in the data structure for managing the theme subscription state; in response to an event triggering condition, creating an event object containing a theme identifier, determining priority group information for subscribing the theme based on the data structure for managing the theme subscription state, and adding the event object into a queue to be processed; according to the method, each priority group is polled according to the priority sequence, the event object subscribed by each priority group is retrieved, the event processing function of the corresponding resource object is called for processing, and the framework realized through the method reduces the coupling among the modules.

Methods and systems are provided for service policy orchestration in a communication network. An orchestration of a distributed event policy may be initiated at a service policy execution factory (SPEF). The initiating may include selecting a service event object with an associated unique service instance identifier and an associated unique service event identifier; defining service requirements that may include or relate to one or more of type of an event, a criticality, a lifetime, and generic service execution rule(s); including the service requirements in the service event object; and sending the service event object and the unique service instance ID to a service policy orchestration factory (SPOF) for performing one or more actions relating to the orchestration of the distributed event policy. In response to receiving an SPOF feedback message that indicates a successful updating of the event repository, the orchestration of the distributed event policy may be terminated.

Internet of Things (IoT) event objects can be tailored to specific device types and capabilities. An IoT event object can use a flexible definition of an event that can be reconfigured. An IoT event object allows for the ability to set different triggering conditions and priorities. Individual event definitions can be extended to create more complex events. A Notification Handler supports sending a request or command in response to an event that requires action.

According to the abnormal information monitoring and processing method based on the large model and the intelligent agent, system operation data and log information are collected in real time, abnormity is detected based on threshold rules, automatic discovery of abnormal events is achieved, and manual intervention is not needed; after the exception is detected, the exception event object is constructed and the context semantic analysis is performed, so that the exception category, the trigger module and the operation environment parameters can be accurately extracted, and the accurate positioning of the complex exception is realized. Cue words are generated based on the semantic enhancement model, and a scheme retrieval request is constructed, so that the retrieval process better conforms to semantic logic, and the accuracy and correlation of scheme matching are improved. Through semantic similarity calculation and an external knowledge source extension mechanism, the system can efficiently retrieve candidate solutions inside and outside a knowledge base, and determines an optimal solution based on credibility scores, so that the intelligence and reliability of decision processing are remarkably improved.

An operations computing system receives event data for one or more events and generates, based on the event data, an incident object for an incident. The incident object includes incident data including a priority level. The operations computing system generates an incident workflow for the incident object. The operations computing system applies, using an application programming interface, a machine learning model to determine an adjusted priority level for the incident object, in which the machine learning model is configured to receive one or more valid natural language prompts related to incident priority level. The operations computing system receives the adjusted priority level for the incident object, and updates the incident object associated with the incident workflow with the adjusted priority level. The operations computing system performs one or more actions included in the incident workflow for the incident object based on the adjusted priority level for the incident workflow.

The invention discloses a cloud platform automatic inspection method and system based on multi-dimensional intelligent analysis. By collecting resource metadata, performance indexes, logs and change events, a unified event object containing resource identifiers, event timestamps, association keys and credibility scores is generated, and out-of-order rearrangement and layered missing compensation are completed based on event time water level lines. Second-level and minute-level multi-granularity dynamic baselines are constructed for the key indexes, drift detection is carried out, and the exception score is calculated by fusing the super-boundary amplitude, the change rate, the duration and the cross-index consistency. And constructing a resource dependence topology with credibility and aging attenuation, introducing a time-delay consistency constraint to carry out contribution degree attribution and cut candidate root causes, fusing a Bayesian network and a fault knowledge graph and combining a historical fault library to update a prior probability positioning root cause on line, and outputting an interpretable link. Implempotent self-healing execution, acceptance and rollback closed loop are realized according to risk access control, the positioning accuracy is improved, and the fault recovery time is shortened.

The invention provides a bank omni-channel message intelligent management and control method and system, and the method comprises the steps: accessing a standard structured event pushed by a business system, carrying out the compliance and anti-repetition verification, and obtaining a standardized event object; performing three-dimensional dynamic strategy matching on the received standardized event object to obtain a decision result containing a trigger rule ID; selecting a message sending channel based on the decision result containing the trigger rule ID, adopting a policy mode to realize multi-channel routing, and setting in a failover mechanism to obtain a channel execution context; and carrying out data storage on the standardized event object, the decision result containing the trigger rule ID and the channel execution context, and meanwhile, establishing an index to construct a full-link tracking index. According to the method, unified management and control of the messages are realized through standardized access and intelligent routing, accurate touch is ensured by adopting dynamic strategy matching, and unified management and control, dynamic optimization and visual monitoring of the whole message sending process are finally realized by combining failover and full-link tracking.

The invention discloses a method for mounting a backup mirror image into a Windows volume. The method comprises the following steps: S1, initializing a driving program; the method comprises the following steps: firstly, creating a temporary directory F in a Windows NT object manager namespace, creating a plurality of pieces of equipment of which the types are disks under the temporary directory F, and initializing an event object E in DEVICEXTENSION after the creation is successful, S2, calling PsCreate System Thread to create a working thread for the disk equipment, and S3, assigning a response column and a drive unloading routine of an IRP for a drive program. And S4, waiting for the working thread to be triggered by the event object E. According to the method, the temporary directory and the disk equipment are created in the Windows NT object manager, and the backup mirror image is mounted in the operating system as a new volume, so that data in the mirror image file can be accessed in a file form. By using the event object E, effective communication between the driving program and the working thread can be realized.

The invention relates to the technical field of data processing, and discloses an index exception processing method and device, computer equipment and a storage medium. The index exception processing method comprises the steps of determining an index type of an exception index according to index alarm information; determining a to-be-analyzed event object corresponding to the abnormal index according to the index type; recalling at least one candidate event corresponding to the to-be-analyzed event object from a preset event library according to a preset recall rule; sorting all the candidate events according to a preset sorting rule to obtain a candidate event sorting list; and when an event selection signal is received within a preset selection time, determining a target root cause event from the candidate event sorting list, and performing event rollback processing on the target root cause event to convert an abnormal index into a normal index. According to the method, intelligent investigation is realized, the timeliness and accuracy of investigation of root cause events can be ensured, meanwhile, system problems can be quickly repaired by utilizing one-key rollback, and the processing efficiency is improved.

Disclosed are a method, a device, and / or a system of audio enhancement of video through video file segmentation, event extraction, and contextual data structuring for efficient matching, generation, and / or alignment of audio to a depicted event. In one embodiment, a system includes a memory storing computer readable instructions that when executed initiate a video object in a database representing a video file and store a video segmentation reference drawn from the video object to a segmentation object, which may represent a shot or scene in the video. The system may parse the video file to extract an event including an event range, an event description, and an event ontology, and may generate encoding vector(s) therefrom. The system may initiate an event object, then link the event object to the video object through the segmentation object, to enable efficient import of context for audio matching and / or audio generation for the event.

To increase the willingness of viewers to gift items at events held in virtual space. [Solution] A program that is executed by a computer having a processor and memory, The program causes the processor to perform the following steps: receiving a gift offering operation from a user watching an event held in a virtual space to offer a gift to the event's performers; providing the gift to the performers in response to the received gift offering operation; generating reaction information for the gift based on first information regarding the performance being performed by at least the avatar object corresponding to the performer at the time the gift is provided to the performers; and causing the avatar object or an event object associated with the avatar object to perform a reaction in accordance with the generated reaction information.

A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object. The method may also comprise receiving first input data in relation to one or more of the production event objects that modifies one or both of the start and end time values and determining that the modification meets an alert condition linked to the assembly object. The method may also comprise issuing an alert to a user interface responsive to the determination.

This invention provides a distributed event processing method and an electronic device, applicable to the field of distributed technology. The distributed event processing method includes: receiving an event processing request at the request receiving entry point of a distributed system; searching for the priority and mutually exclusive execution type corresponding to the event type from a preset event registration database based on the identifier representing the event type in the event processing request; inserting the event object, encapsulated from the event processing request, into a priority scheduling queue based on the priority and the timestamp of the event processing request; after extracting the event object for execution from the priority scheduling queue, performing conflict detection on the mutually exclusive execution type corresponding to the event type based on a global mapping table maintained in the distributed system; if no conflict is detected, invoking the business processor corresponding to the event type to execute the event object, and updating the current execution count of the event type in the global mapping table based on the execution status.

An information processing device comprises a display control means for displaying, in a prescribed screen image, event information that includes an event-related object associated with a prescribed event identified on the basis of a region contributing to detection of the event within an image, case information that indicates a case related to the event, and evaluation information that is related to the event and is outputted from a prescribed trained model using input information based on the event information and the case information. Thus, by presenting a highly accurate assessment result or the like that is generated using event information derived under constraints on data sources and is related to an event which has occurred, it is possible to assist in ascertaining the status of the event.

This invention discloses an automated rule engine execution system and method for communication events, belonging to the field of communication technology. The system includes: collecting multi-source heterogeneous communication events; obtaining standard communication event objects through a dedicated rule meta-model for each communication event; loading a rule set; generating an abstract syntax tree through syntax parsing and pre-compilation; constructing a rule dependency graph and performing intersection and mutual exclusion detection to form a scheduling strategy containing priority, mutual exclusion whitelists, and execution order; locating a subset of candidate rules based on system context; determining the target rule through condition matching; encapsulating automated operations into atomic action units; and executing them concurrently or sequentially according to orchestration logic; simultaneously generating a unique execution trace ID to record the entire link log; monitoring anomalies in real time; triggering a circuit breaker if the anomaly rate exceeds the limit or execution times out; taking down abnormal rules and demoting their execution; evaluating the rule effectiveness and providing optimization suggestions after the session ends; this invention improves the efficiency of communication event processing and the stability of rule execution, ensuring reliable system operation.

Internet of Things (IoT) event objects can be tailored to specific device types and capabilities. An IoT event object can use a flexible definition of an event that can be reconfigured. An IoT event object allows for the ability to set different triggering conditions and priorities. Individual event definitions can be extended to create more complex events. A Notification Handler supports sending a request or command in response to an event that requires action.

The application provides a content version-based data storage and reading method and device. The method comprises the following steps: obtaining a change command of file content, wherein the change command comprises an identifier of an aggregate root, a type of the aggregate root and an operation command; querying an event stream information table according to the identifier of the aggregate root and the type of the aggregate root to obtain a historical event version number corresponding to a last state of the aggregate root; generating a new event object according to the change command and the historical event version number, wherein the new event object comprises the identifier of the aggregate root, the type of the aggregate root, a new event version number, an event occurrence time and change content corresponding to the operation command; and serializing the event object into an event table according to the event occurrence time. The application improves the accuracy, reliability and efficiency of data item version management.

This invention discloses a method and apparatus for constructing a decision knowledge graph based on event streams. The method includes: collecting an event stream data set; the event stream data set includes several event stream data sets; the event stream data includes event logs, event-related sensor data, event subject information, event action information, event time information, time context information, and event object information; preprocessing the event stream data set to obtain a preprocessed event stream data set; and performing decision knowledge graph construction processing on the preprocessed event stream data set to obtain a decision knowledge graph; the decision knowledge graph includes decision entities and the relationship information between each decision entity.

Techniques for detecting potential concurrency issues and / or causality bugs are disclosed. To this end, the system maintains at least one object graph of event objects. The event objects represent events, and the event objects in an object graph are interconnected by references that represent causal and / or temporal relationships between the corresponding events. Before a thread attempts a task that could feasibly conflict with another task, the system may compel the thread to consult the object graph. For instance, if a task entails accessing a shared object, the system may compel a thread to determine if the last event to mutate the shared object is represented in an object graph of event objects before an event corresponding to the thread's current attempt to complete this task. If the last mutation event is absent from the object graph, the system may prevent or delay the thread from completing the task.

The invention provides a behavior tree dynamic construction method, system and device and a medium, and the method comprises the steps: obtaining original data from a voice sensor, an image sensor and a touch sensor, carrying out the normalization and event abstract semantic processing of the original data, and obtaining a semantic event object; analyzing a corresponding relation type according to the event object, and constructing an event semantic relation graph which is constructed by adopting a predefined rule and large model mixed mode; defining a mapping rule from an event semantic relation graph to behavior tree nodes, and converting a relation type in the semantic relation graph into a behavior tree node type, including setting sequence nodes corresponding to a causal relation and setting condition nodes corresponding to a condition relation; analyzing the event semantic relation graph into a behavior tree structure according to a mapping rule, and constructing a behavior tree; and recording an execution result in the operation process of the behavior tree, and adjusting the event confidence coefficient according to the execution result to optimize the dynamic construction of the behavior tree in the next round. According to the method, the expandable behavior tree meeting the personalized expression of the accompanying robot can be created, so that the accompanying experience of the robot is improved.

A game system (100) for providing a game that simulates the development of a developed object, which is a game object to be developed, is provided with: an object reception means (11A) that receives the selection of an event object associated with an event that varies a parameter indicating the state of the developed object; a mode selection means (11B) that selects either an automatic progress mode or a manual progress mode in accordance with a user operation; and a progress means (11C) that, in the automatic progress mode, automatically progresses an action performed by the formation subject, and, in the manual progress mode, progresses the action in accordance with an operation by the user.

This invention discloses a multimodal human-computer interaction platform system and method based on a central coordination layer. The invention uniformly converts multimodal input data from edge interaction units into structured semantic event objects. These objects encapsulate at least semantic intent, emotional context, privacy compliance tags, and policy identifiers, serving as the sole transmission unit for cross-module and cross-device interaction. Within the central coordination layer, capabilities for emotion understanding, personalized agents, privacy compliance verification, and dynamic scheduling of computing resources are integrated and exposed externally through standardized interfaces. This allows third-party developers to directly access platform capabilities without repeatedly building underlying models, privacy compliance, and cross-device consistency infrastructure, effectively ensuring consistency, security, and efficiency in cross-application and cross-device interaction, and significantly reducing development complexity and cost.

The embodiment of the invention provides a security control method and device based on JDK layer IO stream processing, when an application system is loaded, Hook is injected into a specified class through a Java Agent, when a service thread initiates file read-write and network request or command execution, the Hook method intercepts operation, service context information of the current thread is obtained through ThreadLocal, and the service context information of the current thread is sent to the JDK layer. Uniform security event objects are generated, the legality of the uniform security event objects is evaluated, then operations of files, networks and commands are limited through security control rules and methods, services in the whole process are in a non-perception running state, and finally security protection is carried out according to the security rules. Real-time monitoring and precise protection of operations such as file processing, network external link and command execution are realized, and the problems of insufficient protection precision, high false alarm rate and interference to service operation of the traditional WAF are solved.

The application provides an event influence range calculation method based on an industry chain transmission path, comprising: information extraction on information data to obtain an event subject and an event process in the information data; industry identification on the event subject and the event process respectively to obtain a subject industry to which the event subject belongs and an object industry to which an event object included in the event process belongs; determination of a first influence of the event subject based on the subject industry and determination of a second influence of the event process based on the object industry; determination of an entity object within an influence range of the information data based on the first influence and the second influence; visual processing on the entity object within the influence range to obtain a visual view of the information data, and display of the visual view. Through the above manner, the influence degree of the information data can be quickly determined, and the accuracy of the determined influence degree of the information data is improved.

The invention discloses a cascade communication method and device based on an open-source gap system, a medium and a product. The method comprises the following steps: a target communication management platform obtains to-be-processed target report information; if the information is real-time state information sent by the police terminal through an open source gap distributed soft bus, a local database is updated, and the information is packaged into a standardized event object containing an event type, data content and a priority label; if the information is an event object which is received to a subordinate interface and comes from a direct connection subordinate platform, updating a local database; if the platform is not a root node of the standard tree cascade topology, the received or packaged event object is analyzed according to a preset strategy, and whether the event object needs to be continuously reported to a directly connected superior platform is judged, and if yes, the event object is called to be reported to a superior interface; otherwise, terminating the reporting process of the event object; according to the technical scheme of the embodiment of the invention, the overall efficiency of police cooperation and commanding and dispatching can be remarkably improved.

The invention relates to a high-frequency electric quantity anomaly detection method based on electric power big data, and the method comprises the steps: S1, building a hierarchical data collection architecture based on edge calculation, and obtaining a high-frequency electric quantity data flow; s2, preprocessing the high-frequency electric quantity data stream to obtain preprocessed sequence data; s3, acquiring short-time dynamic features and spectrum detail features based on the preprocessed sequence data, and fusing the multiple features to generate a multi-dimensional feature tensor; s4, constructing a multi-layer anomaly detection model; s5, according to the multi-dimensional feature tensor, obtaining a real-time alarm event data stream based on a multi-layer anomaly detection model; and S6, abnormal event aggregation analysis is performed based on the real-time alarm event data stream, continuous second-level anomalies are aggregated into an event object based on time proximity and equipment topology adjacency relation, then causal analysis is performed on multi-node anomalies, and potential source nodes are identified by using a time sequence precedence relation graph. According to the invention, the efficiency of abnormal response and fault tracing is effectively improved.