82 results about "Event type" patented technology

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 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.

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 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 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.

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.

The invention discloses a weak event space-time calibration and metastable state heat perception method and system for an emergency scene. The method comprises the following steps that: a client acquires an event type, an event timestamp, a position coordinate and media information and uploads the information to a server; the server performs time and space dimension repeated detection on the events, and writes the de-duplicated events into a buffer area; calculating a time offset based on the client event time and the server receiving time, and carrying out unified calibration on the event time; re-estimating the confidence coefficient of the event position in combination with the regional positioning quality; counting an event position offset trend in a preset time window, identifying the overall positioning drift of the region, and performing position correction when the overall positioning drift exceeds a threshold value; self-adaptively constructing a metastable state time window for weak event aggregation according to the change of the number of events in the window; and based on the corrected position, the revaluation confidence and the distance attenuation weight, performing weighted stacking on the events in the window to generate a dynamic popularity value.

The embodiment of the present application provides a kind of message exception detection method and device, the method comprises: business system determines the event type of message to be detected;The message to be detected is generated according to the user event reported by client and the associated user event of the user event by the business system;The message to be detected is tokenized, and each message token of the message to be detected is obtained;From the preset keyword set corresponding to the event type of the message to be detected, each preset keyword corresponding to each message token is determined;According to matching degree calculation formula, the matching degree of each message token and each preset keyword is determined;According to the matching degree, the detection result of the message to be detected is determined.The above method can automatically generate messages and detect messages compared with prior art without detecting messages;Reduce the cost of message generation, and improve the accuracy of message and user experience.

Systems and methods for dynamically generating event cards from message streams is provided. A system receives a message of a sequence of messages from a content source, determine, from the message, the game condition of the game, compare the game condition with a previous game condition and determines events that occurred in the game based on the message and the comparison. The system can determine, for each event of the one or more events, an event type and individual player contributions of one or more players and assign, for each event of the one or more events, to each player that contributed in the event, a points allocation corresponding to the player's contribution in the event based on the points assignment policy and the event type. The system can generate event cards and transmit the event cards to emote devices according to a content filtering policy.

Systems and methods include determination of a plurality of event types, determination of a plurality of associated metrics for each of the plurality of event types, generation of synthetic time-series data of each of the metrics associated with the event types for each of the plurality of event type, the synthetic time-series data representing metric anomalies and events of the event type, training of a first system to generate anomaly values based on the synthetic time-series data, training of a second system to classify event types based on the anomaly values, determination of an anomaly value for each data instance of actual time-series data, determination of event types for each determined value, selection of data instances based on the determined values and event types, reception of an event type for each selected data instance, and re-training of the second system based on the selected data instances and event types.

The invention discloses a chapter military news event extraction method based on a chapter heterogeneous graph and an event sub-graph. The method comprises the following steps: S1, an entity identification layer: identifying a potential argument entity and generating a semantic vector; s2, a chapter heterogeneous layer: constructing a global semantic graph according to the semantic vector in S1, and learning node features; s3, an event sub-graph division layer: focusing event related nodes on the global semantic graph in the S2 to generate an event sub-graph; and S4, an event extraction layer: performing event type classification and argument identification classification on the event sub-graph in the S3. According to the method, accurate extraction of event types and arguments in military news is realized, and high-quality multi-dimensional event data is provided for military decision making.

This invention discloses an event extraction method integrating an attention mechanism and a convolutional neural network. The steps include: 1) using a text encoder to represent the features of the text to be extracted, obtaining distributed features of the text; 2) using a feature extractor to extract contextual features and word association information of the text from the distributed features; 3) inputting the contextual features and word association information of the text into an event trigger word classifier, outputting event trigger words of the text, and then determining the event type of the text based on the event trigger words; 4) using an event element classifier to sequentially determine whether each word in the text is an event element based on the event type and contextual features; 5) using an element role classifier to identify the role category of each event element. This invention significantly improves the accuracy and efficiency of event extraction.

The invention provides a match management method and system and a storage medium. The method comprises the steps of receiving a match creation request, obtaining a match data set of a to-be-created match type, and classifying the match data set to obtain a match scale data set and a resource demand data set; inputting the match scale data set into a match schedule management model, processing match scale parameters by using a first feature extraction layer in the match schedule management model, and generating match schedule structure data; inputting the resource demand data set into a resource management model, processing the resource demand parameters by using a second feature extraction layer in the resource management model to obtain a resource type, and processing the resource type through a feature reconstruction layer to generate a resource configuration scheme; and creating a match management scheme according to the match schedule structure data and the resource configuration scheme, and managing the match according to the match management scheme, thereby realizing refined and intelligent management of the match.

Computing systems, methods, and non-transitory computer-readable storage media are provided. Identifier collisions are determined in historical event data based on short identifiers associated with geographically dispersed first and second event locations. Behavior analytics are performed on multiple short identifiers in the historical event data to generate behavioral models associated with the multiple short identifiers. Adjusted behavioral models are generated based on the determined identifier collisions. A short identifier is obtained and an adjusted behavioral model is determined. A new event value for a first event type is calculated when a total value of events of the first event type during a current analysis period does not exceed a baseline value associated with the first event type. A client device is notified using the new event value, whereby the client device displays a notification regarding the new event value in response to receiving the new event value.

Aspects of the subject technology include receiving a request to generate an event-based workflow associated with a first event type, which includes a state machine that includes at least a state and an associated transition and receiving an event including a second event type and an event attribute. Aspects also include determining whether the event attribute satisfies the triggering condition of the transition associated with the state, in response to determining that the second event type corresponds to the first event type, and when a current state of the event-based workflow corresponds to the state. Aspects also include performing the transition action of the transition and updating the current state based at least in part on the performed transition action, in response to determining that the event attribute satisfies the triggering condition of the transition associated with the state.

This application discloses a virtual machine simulation event processing method, apparatus, device, and medium, relating to the field of virtual device simulation. The method includes: analyzing an event to determine the target virtual machine initiating the event and the event type; when the event type is determined to be an IO event, using an IO event read / write thread pool to obtain data operation instructions corresponding to the IO event; determining the virtual hard disk to be operated on based on the data operation instructions; executing the simulated operation corresponding to the data operation instructions on the virtual hard disk; generating the simulated operation result; and forwarding the simulated operation result to the target virtual machine via KVM. This reduces system call overhead during virtual machine IO processing, thereby improving performance while ensuring functional integrity. Furthermore, the method steps reduce the complexity and adaptation difficulty of interfacing with new hardware, balancing efficiency, completeness, and scalability.

A computer-implemented method for pushing one or more event messages to one or more cloud-based data service applications. The method comprising: receiving a first publication trigger signal indicating that one or more event messages of a first event type are to be published; identifying the one or more event messages of the first event type in an event storage database; retrieving the one or more event messages of the first event type from the event storage database; identifying a first mapping from a plurality of stored mappings, the first mapping corresponding to the first event type; retrieving the first mapping; updating metadata associated with the one or more event messages of the first event type to indicate that publication has occurred; and pushing the one or more event messages of the first event type to one or more cloud-based data service applications according to the first mapping.

An event processing method and apparatus of an input device are applied to the field of electronic technology. The method includes: detecting, by a first electronic device, a first event of an input device; determining a focus device; generating event information based on an event type of the first event and a first mapping relationship when the focus device is a second electronic device, where the event information includes a key scan code and a first event type, and the first mapping relationship includes a correspondence between the key scan code and a first key code; and transmitting event information to the second electronic device, where the event information is used for converting the first event into an event under a second operating system.

The invention provides a system security protection method and device, electronic equipment and a storage medium, and relates to the technical field of network security. The method comprises the following steps: monitoring a client based on a configuration rule of a preset virtual machine control structure, and determining an event type and an instruction for triggering an event when monitoring that the client triggers a virtual machine exit event; determining a reason for triggering the virtual machine to exit the event based on the event type, the instruction and the configuration rule; when the reason is that the client executes the system call entry instruction, redirecting the read-write operation of the instruction on the target register to a preset corresponding shadow register; when the read-write operation is to read a system call kernel entry address, determining a file operation request of the client based on a system call number and parameters associated with a system call entry instruction; a file path of the file operation request is redirected to a file filtering module in a kernel mode of the client, and the control right of the central processing unit is returned to the client, so that the client sends the file operation request to the kernel mode of the client.

The application provides a method for event classification and dispatching and building a unified event type system. The method for event classification comprises: obtaining features of an event, the features of the event comprising event content; obtaining features of a predefined event type, the features of the predefined event type comprising a classification path of the predefined event type; inputting the features of the event and the features of the predefined event type into a trained neural network matching model to obtain at least one output matching result. The method according to the example embodiment can realize adaptive event matching classification while reducing the use of promotion costs.

An electronic device is disclosed. When executed individually or collectively by a processor of the electronic device, instructions stored in a memory of the electronic device can instruct the electronic device to: identify an event type corresponding to an event from among a plurality of event types on the basis that the occurrence of the event is detected on the basis of data received from a device from among a plurality of devices located in a home; identify, on the basis of the location at which the event has occurred in the home, an area corresponding to the event type from among a plurality of areas corresponding to the plurality of event types; identify, on the basis of the event type, at least one device related to the event from among the plurality of devices located in the area; identify whether a user is in the home on the basis of location information of a user device and data received from the at least one device located in the home; communicate with a device corresponding to the location of the user in the home from among the plurality of devices when it is identified that the user is in the home, so that the device corresponding to the location of the user displays a notification related to the event; and communicate with the user device when it is identified that the user is not in the home, so that the user device displays the notification related to the event and information related to an operation of the at least one device related to the event.

The invention relates to the technical field of natural language processing and information extraction, and discloses an event extraction-oriented annotation guide automatic generation and iterative optimization method. The method comprises the following steps: for a predefined event type, generating an initial annotation guide by utilizing a large language model based on an annotation sample, and compressing the initial annotation guide into a lightweight guide; a two-stage extraction strategy is adopted, firstly, a lightweight guide is used for identifying the event type, then a complete guide is recalled according to the type for end-to-end extraction, and a prediction result is obtained; identifying and clustering the predicted errors based on a predefined event layer and argument layer error type set to form an error cluster; and for the error cluster, generating an update operation on the annotation guide by using a large model, and after verification, completing iterative optimization. According to the method, automatic generation and continuous evolution of the tagging guide are achieved, and the maintainability, generalization ability and event extraction performance of the guide are remarkably improved through structured representation and an error clustering mechanism.

The present disclosure relates to a method of a device of monitoring events of a tightening tool, and a device performing the method. The method comprises computing a second derivative of a cumulative sum of events occurring for each of a number of event types, rescaling the computed second derivative such that a more severe event type is given a higher weight than a less severe event type, computing an updated wear score, up until a set upper value, when a current value of the rescaled computed second derivate for an event exceeds a first threshold value by adding the current value of the rescaled computed second derivate to a last computed wear score, and decrementing the wear score when the current value of the rescaled computed second derivate for an event falls below a third threshold value being set to be lower than the first threshold value.

The application discloses an edge MEC event secondary analysis method and system and a storage medium, and belongs to the technical field of intelligent traffic. The method comprises the following steps: S1, a device calibration stage; S2, a target tracking stage; S3, an event detection stage, defining an event representation rule, then judging whether a target vehicle in a video sequence has a target event according to the event representation rule, if the target vehicle has the target event, recording to obtain an event representation; S4, an event secondary analysis stage, performing secondary analysis on the event representation, filtering out event representations that do not pass multiple authentications, and retaining event representations that pass multiple authentications to obtain final event representations; and S5, an event exposure stage, uploading the final event representations to a business side for analysis and use. The deep learning model is used for secondary confirmation of an event target, secondary authentication of event key attributes such as position information and an event type, automatic all-weather completion of event secondary analysis, reduction of human consumption, and improvement of the working efficiency of the business side.

This invention discloses a virtualized log export method, apparatus, terminal, and storage medium, belonging to the field of logging. The method includes: allocating contiguous memory at the EL2 layer as a buffer and initializing a start timestamp; collecting data when an event occurs, determining the mask position, writing the event type and description to a bitmap, writing the relative duration to a preset position, and writing process and CPU information at a fixed length to generate a fixed-length binary event record; when aggregation conditions are met, aggregating the valid data in the buffer into a composite event information structure via memory copy to form a package to be exported; writing the structure to a memory-mapped window area accessible only by EL1, allowing EL1 to read without trapping into EL2; when the window changes from empty to non-empty, EL2 sends only one notification, allowing EL1 to continue reading without additional overhead. This reduces the overhead of cross-exception level notifications and traps, achieving efficient and secure structured log transmission.