67 results about "Event tracking" patented technology

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

The invention discloses a dynamic portrait construction method and system fusing a large model and user behavior data, belongs to the technical field of artificial intelligence and big data analysis, and aims to solve the problems of insufficient real-time performance, difficulty in multi-source data integration and high privacy risk in the traditional technology. The method comprises the following steps: collecting basic attributes, behavior sequences and unstructured data by burying points, and processing through an Apache Flink session window and a dynamic watermark; multi-modal feature extraction (discrete feature embedding, bidirectional LSTM coding behavior sequence and BERT coding text) is carried out, and joint embedding is generated through cross-modal contrast learning; generating three types of labels, namely a static label (rule engine), a dynamic label (1.3 B parameter quantity Nano-vLLM) and a predictive label (XGBoost), and dynamically adjusting weights; and realizing global model updating through federated learning and differential privacy. The system comprises a data acquisition layer, a feature extraction layer and a label generation updating layer. The real-time performance and accuracy of the portrait are improved, the privacy of the user is protected, and the commercial value in e-commerce, finance and other scenes is remarkable.

To provide high availability scheduler event tracking for scheduler configuration such as IBM Z workload scheduler configuration.SOLUTION: By a controller, an operational status of a tracker system that is configured to track and record a current status of a job and to report completion of the job to the controller, is monitored. The recording includes storing two copies of the current status. In response to determining, based on the monitoring, that the tracker system is operational, reception of a job completion message from the tracker system is waited for, and a job completion action based on the reception of the job completion message is performed. In response to determining that the tracker system is not operational, the current status of the job is obtained from a shared memory location, and the job completion action based on the current status indicating that the job has completed is performed.SELECTED DRAWING: Figure 1

The invention provides an attack detection method and device, electronic equipment and a storage medium, and the attack detection method comprises the steps: detecting whether there is an intersection between a memory region corresponding to a modified memory attribute and a function address range of a target event tracking function if the modification of the memory attribute of the target event tracking function is detected; if the intersection exists, obtaining function call stack information triggering the modification; and carrying out attack detection based on the function call stack information. Through the technical scheme provided by the invention, the modification monitoring of the memory area of the target event tracking function is combined with the function call stack information for triggering the modification, so that the ETW bypassing attack based on the memory patch mode is accurately detected.

The application provides a kind of information security event's tracking and tracing analysis method and system, method includes: real-time monitoring information security event whether there is alarm information, when monitoring the alarm information, obtain the original data message of the information security event;The attribute information of the industrial control protocol of the information security event is obtained by identifying the original data message;According to the attribute information, the malicious operation of the information security event is searched and matched with the malicious operation in the plan library, and the information security event is tracked and traced according to the matching result.The application provides a set of event alarm-quick message analysis-tracing tracking information security event tracking and tracing processing procedure, which can shorten the response time and improve the efficiency of emergency tracing tracking.

Systems and methods for event tracking are disclosed. In one aspect, a set of venues is generated. A set of events that have occurred at one or more venues in the set of venues may be generated. One aspect includes querying a user media database associated with a user, and extracting metadata from one or more media files in the user media database. A match between at least a portion of the metadata and one or more events from the set of events may be determined. In an aspect, responsive to the determining, an entry in a matched events database corresponding to the match is created. A list of events attended by the user may be prepared. The list of events may include the matched events.

Methods and devices for tracking continuous touch events, such as drag operations, across adjacent capacitive touch surfaces. The adjacent capacitive touch surfaces may include a foldable touch screen having a hinged area between the two capacitive touch surfaces. The adjacent capacitive touch surfaces may include separate touch screens separated by a gap. The methods and devices may enable hover detection, predictive continuation of a touch operation, and simultaneous touch resolution.

A workflow management system can be used to determine whether a set of transaction events have been properly processed according to a business process rule. A business process rule includes a set of transaction events setup in accordance with a government regulation or an internal company process. An event data may include information associated with a transaction event. A workflow management system includes a workflow management server that receives cryptographically signed transaction event data from one or more additional servers so that the workflow management server can determine whether the received transaction event data comprises a complete or an incomplete transaction.

An event tracking subsystem detects events for the removal of items at a plurality of locations. A data prediction subsystem receives event data based on the detected events that indicates an amount of an item removed from each of the plurality of locations over a previous period of time. The data prediction subsystem determines a prediction data value for each item at each of the plurality of locations. The prediction data is used to proactively request items with improved communication and computational efficiency.

Aspects of the technology relate to real time event tracking for generating and providing summaries of events reported by users along navigable routes. An example real time event can be a traffic event that is observed by a user navigating along a route provided by a navigation system. The tracking system can receive verbal descriptions of events and contextual information for a navigable route on which a user computing device in communication with the tracking system may be operated. Contextual information can be any type of information relating to the navigable route, for example previous maneuvers or upcoming maneuvers. User input may be received while a user is operating a vehicle or otherwise preoccupied and the tracking system avoids complicated and information-dense user interfaces with various predetermined user-interactable elements for event types that may be slow or hazardous to interact with and use to report an event in real time.

This application relates to the field of sports event tracking and filming technology, and discloses a method and system for sports event tracking and timing filming. The method includes: analyzing the real-time status of participants based on real-time data collected from at least two mobile high-speed cameras and real-time timing data of the event to obtain real-time status information; calculating the probability of participants at each position based on the real-time status information to construct a set of position distribution probability pipelines; analyzing the coverage value of cameras at different positions on each position distribution probability pipeline in the set of position distribution probability pipelines, and selecting the camera combination with the optimal coverage value; analyzing the real-time status information of participants, assigning at least one tracking role and tracking target to each camera in the camera combination to obtain a tracking and filming strategy; and controlling the corresponding camera to perform target tracking according to the tracking and filming strategy. This application can improve the success rate of capturing moments such as overtaking and sprinting of participants, and improve the quality of tracking and filming.

Accuracy and speed improvements for data computing results are provided herein, particularly in the context of data event streaming services and downstream data computing processes. There are provided systems and methods for failure tracking with real-time data event streaming for data quality checks. A service provider may utilize different computing services for event processing and storing for downstream applications and services in a production computing environment. Due to issues in data loading and / or processing, certain events when streamed may fail to be processed and / or stored for availability to further system components. A failed event tracker may be implemented where, when events fail to process in an original processing queue, the tracker may detect the failure and write an identifier for the event to a table in an accessible database. The tracker may the republish the event via a retry processing queue using the identifier and may track for completion.

An application-level determination of anomalies in response to issuance of an incident ticket / report. AI including NLP is implemented to decipher the unstructured freeform data in an incident ticket to positively identify the resource event that caused the incident. Once the resource event has been identified, a resource event tracing record associated with the resource event is analyzed to determine one or more anomalies. Analysis of the resource event tracing record may include comparison of the resource event tracing record to other resource event tracing records having one or more similar attributes to determine differences in recorded metrics, which may indicate anomalies. In response to determining the isolated and / or systemic anomalies, an anomaly report that indicates at least a portion of the determined anomalies is generated, and electronic communication is initiated.

This application provides a data annotation-based event tracking method and event tracking data processing method. In response to event tracking operations, the data annotation process is processed to obtain multiple target event tracking points; event tracking data collected at the target event tracking points is acquired; and the event tracking data is sent to a server, which instructs the server to determine a data analysis report based on the event tracking data. The technical solution provided by this application, by processing the data annotation process to obtain multiple target event tracking points and collecting event tracking data at these multiple target event tracking points, obtains event tracking data with high granularity and dimensionality, ensuring the stability of the data annotation service during event tracking data collection and resulting in more accurate data analysis reports determined based on the event tracking data.

Systems and methods for event tracking are disclosed. In one aspect, a set of venues is generated. A set of events that have occurred at one or more venues in the set of venues may be generated. One aspect includes querying a user media database associated with a user, and extracting metadata from one or more media files in the user media database. A match between at least a portion of the metadata and one or more events from the set of events may be determined. In an aspect, responsive to the determining, an entry in a matched events database corresponding to the match is created. A list of events attended by the user may be prepared. The list of events may include the matched events.

This application belongs to the field of front-end multi-application integration, and presents a method for dynamic registration and exception monitoring of sub-applications based on micro-frontends. First, detailed sub-application information is configured in the management center, and dynamic menu routes are generated based on this information. Then, sub-applications are filtered according to their current status, enabling dynamic registration. When a sub-application menu is clicked, the route changes, automatically triggering route matching rules. After the sub-application is mounted, the user is redirected to the corresponding sub-application page. Finally, event tracking is implemented in the sub-applications to enable global exception capture. When a front-end exception occurs in a sub-application, it is automatically captured, and the sub-application information and error logs are reported to the main application. The main application processes the error logs and stores them in the database. This effectively avoids the complex operation of modifying configuration files when integrating sub-applications, while also enabling visual management of sub-application status and reducing the workload of operation and maintenance management of the micro-frontend architecture.

Embodiments of the present application relate to a binocular visual odometry method based on event contrast maximization, compared with the traditional event-by-event tracking method, a contrast maximization algorithm is proposed to solve the data association of events and images, which greatly improves the calculation speed of event stream; since the contrast maximization algorithm is highly dependent on the depth of the scene, a robust Beta-Gaussian distribution depth filter is proposed to obtain more accurate line segment template depth than depth estimation using only triangulation; the evaluation experiment applied to the public event camera dataset can realize better performance and obtain lower delay camera trajectory compared with the visual odometry algorithm of ORB.

The invention provides a visual burying point configuration method and device, electronic equipment, a storage medium and a computer program product, and relates to the technical field of Internet, and the method comprises the steps: obtaining page structure data which are sent by a plurality of historical clients and aim at corresponding pages; wherein the page structure data comprises a visual element and an identifier of each DOM (Document Object Model) in the corresponding page; displaying burying point configuration pages corresponding to the page categories based on the page structure data; determining a corresponding burying point attribute for each DOM in each burying point configuration page, and forming corresponding burying point configuration data based on the identifier of each DOM; and in response to an instruction of the current client, sending burying point configuration data corresponding to the current page of the current client to the current client, so that the client performs burying point configuration for the current page.

A random access memory device includes memory cells in each row for storing metadata related to accesses to that row. These metadata dedicated memory cells may store counter values that may be updated (e.g., incremented or decremented) when certain events occur (e.g., activate row—ACT, column read—CAS, error detected, etc.). Which events cause an update of the metadata stored in a row, and under what conditions related to the metadata / count value (e.g., threshold, match, threshold value, etc.) cause further action to be taken (e.g., alert controller, set mode register, etc.) are configurable by a controller. Additional functions related to the metadata / counters are also configurable such as scanning counter values to determine the row address with highest or lowest value and pattern matching (e.g., process identification match / mismatch).

The disclosed system provides an adaptive, modular platform for automated compliance in clinical research and other environments. It integrates a rule-based artificial intelligence engine, real-time sensor feedback, and blockchain-based audit logging to ensure protocol adherence and regulatory transparency. The system supports deployment across cloud, edge, and hybrid infrastructures, enabling contextual enforcement through non-persistent data processing and immutable event tracking. By dynamically interpreting trial protocols and adjusting enforcement logic based on environmental inputs, the system facilitates continuous compliance with HIPAA, 21 CFR Part 11, Good Clinical Practice (GCP), protocol, and SOP standards. The architecture is designed for scalability, auditability, and proactive corrective action planning across diverse trial sites and study phases.

The present system pertains to event tracking, involving the acquisition of event information, generation of compound hashes, and formation of a search data structure. Event information includes time-and-geolocation data and topic data for each event. Compound hashes, comprising a spacetime hash and a topic hash for each event, are generated based on this information. A search data structure is formed using these compound hashes, enabling the grouping of spacetime hashes and structuring of topic hashes. Upon receiving a query, the system executes a search based on the query's compound hash or parameters, returning matching event content. The system can also generate semantic descriptions of relevant events using a narrative generation model and predict event relevance using a preferential learning model.

A random access memory device includes memory cells in each row for storing metadata related to accesses to that row. These metadata dedicated memory cells may store counter values that may be updated (e.g., incremented or decremented) when certain events occur (e.g., activate row—ACT, column read—CAS, error detected, etc.). Which events cause an update of the metadata stored in a row, and under what conditions related to the metadata / count value (e.g., threshold, match, threshold value, etc.) cause further action to be taken (e.g., alert controller, set mode register, etc.) are configurable by a controller. Additional functions related to the metadata / counters are also configurable such as scanning counter values to determine the row address with highest or lowest value and pattern matching (e.g., process identification match / mismatch).

The embodiment of the application provides a kind of program performance bottleneck automatic analysis method and system, it is related to application research and development technical field.The method can respond to the program running instruction input by user, based on target program path, run target program, then according to monitoring parameter setting performance analysis tool data acquisition strategy, and in target program running process, according to data acquisition strategy, monitoring data is obtained from event tracking interface.After target program ends, based on analysis algorithm and monitoring data, calculate key performance parameters, then according to result output mode and key performance parameters, generate structured report.Data acquisition strategy includes the counting object of performance counter and process filtering rule.The method can automatically call event tracking interface to complete performance data acquisition and analysis by user specified analysis rule, and real-time output performance bottleneck analysis result, can reduce the complexity of program performance analysis operation, improve program performance analysis efficiency.

A content editor or a plugin thereto automatically generates authorship tokens that identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

A method comprises receiving, by a computing device of an incident management system, information associated with a plurality of incidents at a site for a time period; generating, by the computing device, a graphical user interface, the graphical user interface including visual representations of: the information associated with the plurality of incidents at the site, where the visual representations included visual representations of a plurality of closed incidents, real-time visual representations of a plurality of open incidents, or both; and operator performance metrics associated with the plurality of closed incidents and the plurality of open incidents; and identifying, by the computing device, a remediation action based on the information associated with the plurality of incidents at the site, the operator performance metrics, or both.

A method and system for determining, based on event tracing associated with user devices connected to a cellular network, locations of the user devices in indoor environments (hereinafter, indoor locations), for example in order to determine quality of service maps of (e.g., urbanized) indoor environments of a geographic area covered by the cellular network.

The invention discloses a modularized generation method and device for an event tracking plug-in, a medium and a product. The method comprises the following steps: in response to monitoring demand information which is issued by a demand side and is matched with a target front-end page, constructing at least one piece of monitoring description information; in each pre-constructed monitoring component, obtaining a target monitoring component corresponding to each piece of monitoring description information; if the target monitoring component of which the monitoring index is the user browsing data is identified in each target monitoring component, performing component reconstruction on the identified target monitoring component by using matched monitoring description information; and splicing the target monitoring components according to a preset component splicing mode to obtain an event tracking plug-in matched with the target front-end page, and adding the event tracking plug-in into an engineering file matched with the target front-end page. According to the technical scheme provided by the embodiment of the invention, the event tracking plug-ins suitable for various data collection demand scenes can be quickly and efficiently generated.

The invention belongs to but not limited to the technical field of data processing, and discloses a target positioning and event tracking visualization system and method based on a large language model, and the system comprises a user input processing module which receives unstructured natural language input from a user, extracts the intention of the user, and completes the scheduling of a downstream module and the initialization of a processing flow; the big language model event extraction module based on the RAG is used for fusing the retrieval enhancement generation framework and the big language model and automatically identifying and extracting structured event information from a natural language; the geographical name analysis and space positioning module is used for standardizing geographic information entities in a natural language and accurately mapping the geographic information entities into a geographic coordinate system so as to provide support for space positioning and visualization of subsequent events; the map service and event visual display module consists of two independent services which are respectively responsible for static service of a map tile layer and visual rendering of an event track; the method is used for event position labeling, track visualization and interactive map display.