87 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 relates to the technical field of content recognition, in particular to an Al-based video content analysis method and system, and the method comprises the following steps: carrying out the image segmentation learning based on a video sequence through employing a U-Net convolutional neural network, analyzing scenes and elements in a video frame, recognizing and isolating key visual elements in a video through network learning, and carrying out the recognition of the key visual elements in the video. Comprising objects and figures. According to the method, image segmentation learning is carried out by adopting the U-Net convolutional neural network, key visual elements in the video can be identified and isolated more accurately, a clearer basis is provided for follow-up scene change and key event tracking, video content analysis is carried out by applying the graph neural network, the identification capability of dynamic scenes and events is enhanced, and the identification efficiency is improved. Deeper structured understanding is provided for video content indexing, the video quality is analyzed through a structural similarity index evaluation method, and the reason of visual quality reduction can be accurately recognized and improved.

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.

The invention provides a cross-domain collaborative information tracking and positioning auxiliary method and system, and the method comprises the steps: firstly collecting an original data set generated by a target event in a plurality of associated domains, carrying out the cross-domain identifier matching processing to obtain a standardized event data set, and then carrying out the information association processing of the standardized event data set, according to the method, context semantic features and cross-domain time sequence behavior features of a target event are generated, then collaborative analysis is performed on the features based on a preset collaborative analysis model, a cross-domain collaborative tracking index set is generated, and a dynamic tracking path topology is constructed according to the cross-domain collaborative tracking index set. According to the method and the device, the target event is tracked and positioned, the positioning auxiliary strategy matched with the target event is generated, and finally the positioning auxiliary strategy is synchronized to the cross-domain tracking system to activate the cooperative positioning operation, so that the cooperative processing of multi-domain information is realized, and the target event tracking and positioning accuracy and efficiency are improved.

The invention provides a PCIE (Peripheral Component Interface Express) power consumption testing device, relates to the field of power consumption testing, and can break a barrier between hardware power consumption data and a software system log and innovatively utilize an operating system kernel event tracking system as a unified data fusion platform. A power consumption sampling point collected by external hardware in real time serves as a self-defined event and is injected into a kernel event tracking session in real time, so that the power consumption sampling point and a kernel state change event captured by a system coexist under the same high-precision timestamp, and a unified tracking event stream which is perfectly aligned in time is generated. On the basis, the PCIE abnormal mode is further automatically identified from mass tracking data. Through the deep learning model, the local time sequence characteristics of the power consumption sequence are coded, then the mode evolution rule of the full time domain is further captured, finally, the abnormal state of the PCIE link is accurately and automatically judged, and then the diagnosis efficiency and accuracy of the power consumption problem are improved.

Systems and methods described herein facilitate the tracking of events relating to property. For example, in certain embodiments, a system includes a property event detection device (e.g., smart home device, sensor device, and so forth) configured to detect activity (e.g., motion, light, sound, and so forth) proximate the property. The system also includes a property event tracking system configured to receive data (e.g., images, videos, facial recognition, movement recognition, object tracking, sound signatures, wireless data streams, and so forth) relating to the activity from the property event detection device, to determine whether the activity relates to a property event (e.g., home service, and so forth) for the property, and to store data relating to the property event in a distributed ledger (e.g., blockchain network) upon determination that the activity relates to the property event for the property.

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.

A system and method for hardware-accelerated determination of hybrid codebook performance using FPGA implementation. The system transforms the mathematical operations of estimating combined performance of primary and secondary codebooks into dedicated hardware circuits on field-programmable gate arrays. By implementing specialized components for primary term calculation, secondary term calculation, and mismatch probability estimation directly in hardware, the system enables wire-speed performance estimation without generating test codebooks. The FPGA design comprises parallel processing paths, dedicated bit manipulation circuits for logarithmic approximation, and specialized memory structures for occurrence tracking. This hardware implementation enables real-time hybrid codebook optimization in high-throughput environments such as network appliances, storage controllers, and data processing systems, while providing a development pathway toward eventual ASIC implementation for mass-market deployment.

The present invention discloses a method and system for jointly extracting events and event relationships based on dynamic graph propagation. The present invention constructs a multi-level dynamic graph structure and introduces a gate mechanism to realize the dynamic transmission and joint update of information between event internal elements and events, thereby realizing end-to-end collaborative learning of subtasks such as event trigger word recognition, argument recognition, role classification, event type determination and event relationship classification. The present invention simultaneously completes the prediction of event elements, event types and event relationships through dynamic graph propagation, effectively captures contextual dependencies, and has significant advantages in processing nested events and long-distance event relationships. It effectively improves the overall robustness and structural modeling capabilities of the event extraction system and can be widely used in financial public opinion analysis, medical event tracking, judicial case reasoning and other fields.

The invention provides a door opening and closing event tracking system for safety management of a metal electric meter box, and relates to the technical field of safety management of electric meter boxes, and the system specifically comprises a sensor module, an identity recognition module, a main control module, a communication module, a power module and a data storage module. The door magnetic sensor transmits an opening and closing state signal to the main control module, if the electric meter box is subjected to abnormal vibration, the vibration sensor transmits a vibration signal to the main control module, information such as time and personnel of door opening and closing events can be recorded in detail through the identity recognition module, later tracing is facilitated, and if the main control module judges that the door is opened abnormally or vibrates abnormally, the electric meter box is opened abnormally. The communication module sends early warning information to a manager, abnormal door opening and vibration conditions can be found in time, potential safety hazards are reduced, and the manager can check the state of the electric meter box anytime and anywhere through the remote server and the client.

1. Name of the product of this design: Graphical user interface for urban traffic video intelligent scanning service platform for electronic devices. 2. Purpose of this design product: for use in an electronic device. 3. The key design point of this design product lies in the interface content of the graphical user interface on the screen. 4. The picture or photo that best illustrates the design points: Interface change state diagram 1. 5. Purpose of the graphical user interface: The graphical user interface of the urban traffic video intelligent scanning service platform used in electronic equipment monitors urban infrastructure, road defects, road environment, slopes, bridges and tunnels, traffic behavior, etc., to achieve supervision of the urban traffic environment and behavior. 6. Other Situations Requiring Explanation of Change Status: After opening the system, the main view is displayed. After logging in, the user enters Interface Change Status Diagram 1, which displays functional categories such as Infrastructure, Road Defects, Road Environment, Slopes, Bridges, and Tunnels, and Traffic Behavior. Interface Change Status Diagram 2 is the alarm list accessed by clicking one of the five functional modules, "Infrastructure," "Road Defects," "Road Environment," "Slopes, Bridges, and Tunnels," or "Traffic Behavior," in Interface Change Status Diagram 1. Information such as the alarm type, event name, vehicle type, license plate number, region, street, road section, identification location, alarm time, and number of alarms is displayed. Interface Change Status Diagram 3 is the interface accessed by clicking the specific number "Number of Alarms" in Interface Change Status Diagram 2. The interface displays alarm details in an image, the alarm location on a map, and information such as the alarm type, identification device, sector, alarm event, street, location, and processing status for the corresponding alarm details. Interface Change Status Diagram 4 is the interface accessed by clicking the "Work Order Details" button in Interface Change Status Diagram 3. Information about the work order closed-loop is displayed, including event information, event processing, event tracking, and processing flow.

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.

The present disclosure relates to the field of computer technologies, and discloses a full event tracking method and apparatus for a single page application screen, a device, and a storage medium. The method includes: obtaining a response component corresponding to a target single page application screen; in response to the response component being a screen container component, extracting a component feature parameter of the screen container component; determining, based on the component feature parameter, whether a current running state of the target single page application screen is a loading state; in response to the current running state being the loading state, obtaining routing information of the target single page application screen; and generating event tracking information of the target single page application screen by triggering event tracking for the target single page application screen based on the routing information.

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.

The application discloses a kind of operating room intelligent monitoring method and system based on monitoring video identification, it is related to medical safety supervision technical field, including through operating room camera array acquisition video, utilize residual neural network and light flow field constructs operating area panorama sequence;Adopt double branch target detection network to extract medical staff position, patient position and surgical instrument feature, constructs surgical scene model;Based on skeleton key point extraction and Kalman filtering, trajectory tracking is carried out, and surgical procedure dynamic diagram is constructed;Utilize time series diagram convolution network and multi-head attention mechanism to generate surgical progress state report;By knowledge distillation algorithm, compare surgical specification library, and the abnormal event is graded record.The application realizes the efficient abnormal event tracking and record function, provides technical support for surgical quality control and safety management, improves the overall performance of operating room intelligent monitoring.

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.