204 results about "Event type" patented technology

The invention relates to a progressive memory delay monitoring and diagnosis method oriented to a virtual memory subsystem. The method comprises the following steps: mounting a BPF program to a plurality of key event points on a kernel; when the key event point is triggered, acquiring state information of a corresponding event; packaging the state information into an event, and writing the event into a perf ring buffer associated with the outputmap; and the user mode program asynchronously reads the packaged event from the perf ring buffer, performs classification and aggregation according to the process and the event type, generates a delay terminal log and a histogram, and outputs a diagnosis result. Through systematic architecture design, the state keeping capability and the kernel context access capability of the eBPF are combined with an event model of a virtual memory subsystem, and a set of closed-loop monitoring system oriented to a diagnosis target is constructed. High-precision and high-reliability memory operation delay measurement is realized.

The invention discloses a data processing method and system for a dynamic knowledge graph, particularly relates to the technical field of knowledge graph data processing, and is used for solving the problem of park multi-source data consistency. The method is oriented to a park, system records are standardized as park event frames carrying object identifiers, event types and time information, association is achieved through a unified object identifier set, sub-graph templates are inquired according to the event types, object nodes are positioned, the sub-graphs are expanded according to template paths, affected sub-graphs are limited, and incremental updating is executed only within the range. The method comprises the steps of recording and writing effective time, failure time and a source event identifier, constructing a time version chain, generating a current state in combination with conflict detection of a preset time window and a source priority decision, constructing a current view and a historical view, adding a time filtering condition to query, and realizing time sequence retrieval of scenes such as equipment operation and lease change. And the updating efficiency and the data consistency of the park knowledge graph are improved.

The invention belongs to the technical field of information, and particularly relates to an event co-reference resolution method based on multiple agents. The method specifically comprises the following steps: splicing prompt words of an event attribute recognition agent with a chapter text to be subjected to event co-reference analysis, and then inputting the event attribute recognition agent; the event attribute recognition agent follows the input content output event type and role or the output is null; when the output of the event attribute recognition agent is null, performing question query on the exogenous information integration agent; after a return result of the exogenous information integration agent is added, the event attribute identification agent generates a corresponding event type and role again; splicing the event type, the role and the chapter text, and inputting an event co-reference prediction agent; and the event co-reference prediction agent realizes event co-reference resolution for each event mention according to the sequence.

Automated detection of events in content can be performed using regions of information associated with various user interface or display elements. Certain elements can be indicative of a type of event, and regions associated with these elements can be analyzed on a per-frame basis. If one of these primary regions shows a state or transition that is indicative of one of these events, one or more secondary regions can be analyzed as well to attempt to verify whether that event occurred, as well as whether that event qualifies for selection for additional use. Selected events can be used for purposes such as to generate highlight montages, training videos, or user profiles. These events may be positioned at different layers of an event hierarchy, where child regions are only analyzed for frames where a parent region is indicative of a type of event.

The invention belongs to the field of big data processing, and particularly relates to an event analysis method, device and equipment and a storage medium, target event information is obtained, the target event information is converted into event feature vectors, the event feature vectors are input into multiple analysis models respectively, and the analysis models output corresponding event types and initial risk levels respectively. Performing similarity matching on the event feature vector and a historical event feature vector of a historical event in a preset knowledge base, screening one or more pieces of historical event information of which the similarity score is greater than a preset threshold, and determining the credibility of each analysis model based on the historical event information and the event type, performing weighted fusion on the initial analysis result based on the credibility of each analysis model, and determining a target risk level corresponding to the target event information; according to the method, by combining multi-model analysis, historical data similarity matching and credibility weighted fusion, the accuracy of risk level judgment of the target event is improved.

The invention discloses a door lock video recording method and system based on event value driving, and the method comprises the steps: detecting an event of a person according to a first door lock, obtaining a video stream address of a second door lock through door relation information, and synchronously caching video streams of the door locks of both parties; judging event types according to video analysis results, storing complete video streams of both parties for important events, and only storing panoramic images for non-important events; according to the door lock face detection time difference and the residual storage space of the two parties, negotiating to determine a single door lock to store video streams of the two parties; and according to a user query request, locally and directly responding or obtaining video data through door collaboration to finish query display. By utilizing the embodiment of the invention, efficient video acquisition and storage can be realized through cooperation of event driving and a door lock, the integrity of security and protection video records is improved, the storage space is saved, and more efficient and reliable intelligent query response is supported.

An automatic annotation method is implemented as part of an image activated cell sorter. A user inputs descriptive information about the events the user is trying to purify. Unsupervised clustering is used to group events with similar image features. Once clustering is complete, the automatic annotation algorithm uses the prior information and the features extracted during clustering to predict the identity of the events in each cluster and annotate the events.

The invention provides a traffic event fusion method and device, equipment, a medium and a product, and relates to the technical field of intelligent traffic, and the method comprises the steps: receiving a plurality of pieces of traffic event information reported by a multi-access edge computing MEC device; wherein the traffic event information comprises an event type, a detection equipment type, detection time, event end time and an event position; according to the event type, the detection time and the event position, grouping different traffic event information to obtain at least one traffic event information group; determining a first comprehensive confidence coefficient of each traffic event information group according to the event type, the detection equipment type, the detection time and the event end time; and generating a unique event identifier corresponding to the traffic event information group according to the first comprehensive confidence coefficient. Therefore, the same event forms a record, the accuracy of the data is improved, and the difficulty of handling, tracking and publishing the event is reduced.

Performance monitoring circuitry (40) has event counters (42) that each maintain a respective event count value based on monitoring events during processing of software by the processing circuitry. A control circuit (44) configures the event counter based on the counter configuration information. For at least a subset of the event counters, a given event counter (42) within the subset supports a chained counter operation that includes incrementing the given event count value by an increment value determined based on a logical combination of a first event state indication and a second event state indication, the first event state indication indicates a state of a first event type assigned by the counter configuration information to be monitored by a given event counter, and the second event state indication indicates a state of a second event type assigned by the counter configuration information to be monitored by a further event counter.

The invention relates to the field of natural language processing, in particular to a text processing method and device, electronic equipment and a medium. The text processing method comprises the steps of determining a first prompt word based on an event description text; inputting the first prompt word and the event description text into a first model for processing to obtain a first event type described by the event description text and a first trigger word of the first event type; determining a second prompt word based on the first event type, the first trigger word and the event description text; and inputting the second cue word and the event description text into a second model for argument extraction to obtain a first argument of the event description text. According to the invention, the event extraction accuracy can be improved.

The invention provides a power demand transaction assessment method, device and equipment considering the action of event factors, and the method comprises the steps: collecting the related information of a target event, and extracting the event entity information related to the power demand from the information; determining an event type according to a preset event classification system based on the event entity information, and determining an influence industry of the target event and influence coefficients of the target event on different industries based on event classification and an influence quantification knowledge base according to the event type; taking the influence industry as a processing group, adjusting the basic weight of each control unit in the control group corresponding to the processing group according to the influence coefficient, and obtaining the dynamic weight of each control unit; according to the dynamic weight, constructing an anti-factual power utilization path of the processing group under the condition that no target event occurs; and calculating the difference between the actual power consumption data of the processing group and the anti-fact power consumption path, and obtaining the net influence quantity of the target event on the power consumption demand of the processing group. According to the invention, the influence of emergencies on power demands can be accurately identified and quantified.

The invention discloses a semantic conflict recognition method and device based on event element extraction, and the method comprises the steps: carrying out the event detection of an input text, recognizing whether an event exists in the text, and determining the type of the event; determining an event element mode according to the event type; performing event element extraction on the event element mode corresponding to the text by adopting a pre-training model to obtain a labeling sequence of event elements; aligning events from different sources, and mapping the events to the same event framework after successful matching; performing semantic similarity calculation on event elements in the successfully matched multi-source event pairs; and judging whether the event elements have semantic conflicts or not according to a preset similarity threshold. According to the method, the accuracy and reliability of semantic conflict recognition can be improved, and the requirements for high-quality information processing in the fields of multi-source information fusion, public opinion monitoring, news reports and the like are met.

A check code reuse method based on a knowledge graph, an apparatus, and a storage medium. The method comprises: acquiring a description document corresponding to at least one check step in a check project; generating event types and parameter lists: by means of an event type classification model and a parameter list extraction model, generating an event type and a parameter list corresponding to each check step on the basis of the description document; searching for related code segments: by means of a knowledge graph, performing searching on the check steps on the basis of the event types and the parameter lists, so as to obtain N most related code segments; and generating candidate code segments: on the basis of the parameter lists, modifying the related code segments to generate candidate code segments. By means of the knowledge graph and the related models, the method can find code segments with similar structures and parameters with respect to description texts of operation steps, so as to complete conversion of the code segments, thereby facilitating check and reasonable combination of same, and finally realizing the overall check logic.

Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

The invention provides a data synchronization desensitization method and device, computer equipment and a readable storage medium. The method comprises the following steps: pre-configuring synchronization parameters; receiving a change event of the source database output by the change data capture engine; performing desensitization processing on the event load of the change event according to a preset desensitization function and a desensitization parameter; judging the event type of the change event; according to the event type and the dialect identifier, mapping an abstract type of a corresponding field in the event load into a physical type which can be understood by the target database to obtain type information of the field; generating a parameterized equivalent SQL template compatible with the target database dialect according to the dialect identifier, the event type and the type information of the field; the event load is bound to the parameterized equivalent SQL template, and a bound parameterized SQL statement is obtained; and executing the parameterized SQL statement in the target database. According to the invention, a set of general data synchronization and desensitization mechanism is constructed.

The invention relates to the technical field of data analysis, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a sound signal analysis-based event processing method, device, equipment and medium, and the method comprises the steps: obtaining a to-be-analyzed sound signal, carrying out the segmentation processing of the to-be-analyzed sound signal, and obtaining a target sound segment; extracting sound features of the target sound fragment, and comparing the sound features with reference sound features in a preset feature library to generate a comparison result; and determining an event type corresponding to the target sound segment based on the comparison result, and when the event type satisfies a preset condition, executing a processing operation corresponding to the event type. According to the method, through sound signal segmentation processing and feature extraction, event types such as snore, apnea and enzootic pneumonia are accurately recognized, the event recognition accuracy is improved by combining feature comparison, corresponding processing is automatically executed based on the event types, and self-adaptive response of multiple event types is achieved.

Example embodiments described herein therefore relate to an event detection system that comprises a plurality of sensor devices, to perform operations that include: generating sensor data at the plurality of sensor devices; accessing the sensor data generated by the plurality of sensor devices; detecting an event, or precursor to an event, based on the sensor data, wherein the detected event corresponds to an event category; accessing an object model associated with the event type in response to detecting the event, wherein the object model defines a procedure to be applied by the event detection system to the sensor data; and streaming at least a portion of a plurality of data streams generated by the plurality of sensor devices to a server system based on the procedure, wherein the server system may perform further analysis or visualization based on the portion of the plurality of data streams.

The invention relates to a single-stage multi-event detection method, device and equipment based on multi-information fusion. The method comprises the following steps: constructing a multi-event detection model; wherein the input module connects an input text sample with an event type set to obtain multi-information representation input; the joint coding module performs joint coding on a text sample and an event type set in the multi-information representation input, and outputs a plurality of text Token features and a plurality of event type features; a semantic enhancement fusion module performs text self-attention and event type attention processing on each text Token feature, and combines the text Token features with part-of-speech tag coding to obtain each Token fusion feature; the output module processes the fusion feature sequence to obtain a prediction tag sequence containing each Token prediction tag; a model is trained through a preset loss function and used for multi-event detection of the to-be-detected text. By adopting the method, the event detection efficiency and accuracy can be improved.

The invention discloses a document-level event argument extraction method based on an enhanced AMR graph. The method comprises the following steps: 1, splicing a document text, an event type and a role type into an input text according to a predetermined label; 2, the text feature tensor is converted into a text feature tensor through an encoder; 3, selecting candidate arguments, and inputting the candidate arguments into a scoring device to calculate scores; 4, selecting the first N candidate arguments with the highest score to enhance the AMR graph; 5, extracting word node features in the graph by using the graph convolutional network; and 6, obtaining an event argument and a role set thereof through a role classifier in combination with the text features and the word node features. According to the method, the event type and role information key information required by an event argument extraction task lacked in the AMR graph are enhanced; besides, the sensitivity of the graph structure to noise interference contained in candidate arguments is reduced by limiting the information flow direction in the graph, so that the enhanced AMR graph can keep the integrity of the semantic relationship between entities in the structure dynamic adjustment process, and the accuracy of current event argument extraction can be improved.

The present invention provides a cloud platform event reporting method, device, and equipment based on adaptation templates. The method includes the following steps: upon receiving a report of a new event type, analyzing the reporting attributes of the new event type; traversing pre-stored adaptation templates and searching for the adaptation template containing each reported attribute one by one; generating a corresponding attribute adaptation list from the found adaptation templates; processing the corresponding adaptation templates in the attribute adaptation list, and outputting the corresponding adaptation templates according to priority after processing; determining whether the output adaptation template meets the requirements of the new event type; if so, setting the output adaptation template and reporting the event; if not, creating an adaptation template for the new event type, and after the creation is complete, reporting the event. The reporting and receiving of the event system are decoupled, reducing the phenomenon of customized development during event docking.

The invention discloses an event identification method, a traffic event identification method and an event identification system, and relates to the field of large model technology and monitoring. The method comprises the following steps: in a process of monitoring at least one moving object in a to-be-monitored area, acquiring an event video in the to-be-monitored area under the condition that occurrence of an event caused by a target moving object is monitored; identifying an event contained in the event video, and determining whether the event video contains the event; when the event video contains the event, intercepting the event video to obtain at least one event image containing the event; and identifying the event contained in the at least one event image by using the multi-modal large model to obtain the event type of the event. The technical problem that the event recognition effect is poor in the related technology is solved.

The application provides a role-aware chapter theme event argument extraction method and device, and the method comprises the following steps: obtaining argument role information of a chapter theme event of an event type according to the event type; performing sentence segmentation and title extraction on a target article to obtain a sentence set and an event title; the argument role information, the event type, and the event title constitute event-related information; constructing an argument role-aware graph by using the event-related information and the sentence set, performing event-related sentence detection, and obtaining a chapter theme event-related sentence set; taking the chapter theme event-related sentence set as input, constructing a question for each argument role, predicting all candidate arguments in the chapter theme event-related sentence set, and screening out a target argument from the candidate arguments. The method improves the model effect while maintaining the flexibility of the model.

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.

The application discloses a work area safety event processing method and system and a medium, relates to the technical field of industrial safety production management, and is applied to a cloud management and control platform, and comprises the following steps: receiving event information of a violation event in a work area; the event information is recognized by analyzing a video stream of the work area by an edge device through a target detection model; based on the event information, determining an event type and a processing level from a preset event type configuration table; according to the event type and the processing level, determining a disposal strategy combination of the violation event from a preset closed-loop mode configuration table; the disposal strategy combination refers to a set of differentiated processing execution rules corresponding to different event types and processing levels; and performing a corresponding disposal action according to the disposal strategy combination. The application can meet the safety management requirements of different projects or stages, reduce the false positive rate, and improve the overall work area safety production management efficiency.

The application provides a kind of based on the passage level event element extraction method, system and computer readable medium of gating mechanism, utilize the input passage level text, by discriminating the event type contained in the input text and extracting the event element information of text, and combining the event type and event element type defined in advance, detailed event element is supplemented for the corresponding event using gating mechanism, accurately identify and extract the event type in passage level text and the event element type contained in each event type corresponding.The passage level event element extraction method based on the gating mechanism proposed in the application supports application in various different application scenarios, for example, financial institutions announcement, mobile service provider package, listed company information disclosure and other specific fields, can be oriented training through the labeled data of specific field, so as to be suitable for passage level event element extraction in each field.

The application provides a kind of fusion multi-source information event detection method and device, with such characteristics, including step S1, specified text and each existing text are respectively preprocessed;Step S2, the preprocessed specified text and the trigger word extraction template are input into the candidate trigger word extraction model, and the candidate trigger word corresponding to the preprocessed specified text is obtained;Steps S3-S6, the preprocessed specified text is respectively matched with each preprocessed existing text to determine whether there is matching text, if yes, the preprocessed existing text matched with the preprocessed specified text is used as matching text, and the trigger word is obtained by combining the candidate trigger word extraction model, trigger word extraction model and candidate trigger word prompt template, if not, the candidate trigger word is used as trigger word and enters step S7;Step S7, the trigger word is input into the trigger word classification model to obtain the event type.In short, the method can generate accurate event detection results.

The application discloses an event type induction method and system based on contrast learning and iterative optimization. The method first constructs a training data set and then removes multiple event type samples in the training data set. Secondly, trigger words are selected from the training data set, event encoding is performed, and an event type perception model is trained. Then, the obtained event type perception model is used to encode an unknown event data set, and clustering is performed, so that each cluster represents an event type. Finally, the obtained event type clustering cluster is guided by a prompt to guide a large language question and answer model to name the event type, and iterative optimization is performed. The system comprises a multiple event sample removal module, a model training module, a clustering module and a naming module. The application effectively removes multiple event samples, improves the unknown event type discovery effect, and solves the problem of poor model training effect caused by the lack of unknown type event labels.

The invention relates to the field of internet event operation and maintenance, in particular to an event processing method and system, electronic equipment and a storage medium. The method comprises the steps that a source event is obtained, according to preset event types and event type data structures, the source event is standardized to obtain a standard event, and the event types correspond to the event type data structures one to one; matching the standard event according to each notification strategy in a notification strategy library, and taking the matched standard event as a notification event; and sending the notification event according to a preset notification mode. According to the method, standardized acquisition and processing of each source event can be realized, so that the complexity and the cost of docking between the systems are reduced, and the collaborative efficiency and the data flow capability between the systems are improved.

Computer-implemented systems and methods are provided for tracking objects. In one implementation, a method for tracking objects engaged in an event within a venue is provided. The method may be implemented with at least one processor configured with executable instructions to perform steps including: providing a statistical model based on historical event data for at least one event type; providing a 3-dimensional (3D) model of the venue using map data; determining a trajectory within the venue based on the 3D and statistical models; and determining a sequence of image data capture for a set of cameras installed at the venue based on the determined trajectory. The method may also include receiving, via an external controller, one or more commands to modify automatic tracking, and generating a broadcast feed comprising the captured image data.

Each event type in a business process is represented by a node in a process discovery graph. Semantic clustering merges nodes based on a commonality between them. As a result, a graphical user interface (GUI) may be presented that shows fewer nodes. This process may be repeated, using different commonalities at each level. A user may select a node to zoom in, showing the constituent nodes. The frequency of an event or its other attribute values may be compared to a predetermined threshold to determine if the event is a blocking event. The GUI may indicate that the node for an event is a blocking event. When the node for the event is merged with other nodes using semantic clustering, the blocking status of the node is transferred to the merged node. After zooming in on the blocking event, the GUI allows the user to select the blocking event to cause display of a recommendation.