412 results about "Data export" patented technology

A communication system includes a server operable to communicate with vehicles located remote from the server. The server is operable to receive an indication of an event that occurs remote from the server. The indication identifies a location associated with the event. The server, responsive to receiving the indication of the event, establishes a geofence that bounds the location associated with the event. The server transmits information pertaining to the established geofence to at least one of the group consisting of (i) a vehicle within the established geofence and (ii) a vehicle within a threshold distance of the established geofence. When a vehicle that received the transmitted information is within the established geofence, the server receives, from the respective vehicle within the established geofence, information derived from sensor data captured by at least one sensor of the vehicle within the established geofence.

In various examples, occupant assessment using multi-modal sensor fusion for monitoring systems and applications are provided. In some embodiments, an occupant monitoring system comprises an occupant evaluation function that may predict at least one characteristic representative of a size of the occupant. The occupant evaluation function may include a first processing path that generates a representation of features corresponding to the occupant based on optical image data, and a second processing path that performs operations to determine a depth corresponding to the one or more features based on depth data derived from the optical image data and the point cloud depth data. In some embodiments, a three-dimensional pose detection model generates a three-dimensional pose estimate of the occupant using the optical image data, and the three-dimensional pose estimate is scaled to an absolute pose based on the point cloud depth data.

The invention provides a data dynamic exporting method and system based on template configuration. The method comprises the steps that a data exporting request for exporting data in a data source in a report form is obtained; verifying the user permission data in the request to generate a verification result; when the verification result is that the verification is passed, generating a dynamic SQL statement according to template metadata corresponding to the template classification data; executing paging query according to the dynamic SQL statement, and performing data processing and streaming writing on data acquired from a data source to which data to be exported belongs in batches; and when the paging query is finished and data processing and streaming writing of the data obtained in the last batch are completed, generating a temporary file, and returning a downloading link to the client for triggering downloading of the data in the temporary file and generating a report corresponding to the data export request. According to the method and the system, the template adjustment efficiency is improved, the memory consumption is reduced, and the big data export success rate is greatly improved.

The invention discloses a multi-field coupling concrete dam parameter intelligent inversion method, system and device based on deep learning and a medium, and belongs to the technical field of dam engineering safety monitoring and computational mechanics crossing. The geometry and boundary modeling unit is used for uniformly expressing a dam body-dam foundation geometric region and a boundary type; simultaneously representing a state field and a parameter field by utilizing PINN inversion, calculating a physical residual error, and implementing parameter physical feasibility constraint and prior regularization; the organization optimizer, residual drive sampling and weight self-adaption are used for training scheduling, and result review, visualization and data export are carried out through the verification and output unit. According to the method, end-to-end parameter field inversion is realized on the premise of not depending on frequent mesh generation, the calculation cost of multiple forward modeling is reduced, the non-uniqueness of inversion is inhibited, and the method has higher recognition capability for engineering concerned areas such as permeation channels and degraded zones.

The invention discloses an HTTP (Hyper Text Transport Protocol) text restoration method based on DPDK (Data Platform Development Kit), which relates to the technical field of computer networks, and adopts a multi-process decoupling architecture to respectively run processes such as flow collection and protocol analysis, fragmentation recombination and text restoration, formatted message splicing, text restoration timeout waiting and the like in independent CPU (Central Processing Unit) cores; and efficient and lock-free data transmission is carried out by using a ring mechanism of the DPDK. Different from a traditional memory splicing scheme, the data offset is calculated based on the TCP serial number, the load content is directly written into the corresponding position of the file, the problems of message disorder, packet loss, retransmission and the like are effectively solved, an atomic renaming mechanism from the file ID1 (intermediate state) to the file ID2 (complete state) is adopted, and accurate migration of the file state is ensured. Besides, the invention innovatively provides a bidirectional asynchronous scheduling mechanism based on data export and text restoration state monitoring, so that the data export process can continuously keep high throughput, and the overall processing capacity of the system is ensured.

Embodiments of the invention relate to the technical field of data processing, and disclose a PDF document generation method and apparatus, an electronic device and a storage medium, the method comprising: obtaining first page data, the first page data being determined by first HTML data input by a user on a target layout style; according to the first page data, a double linked list is constructed, and nodes in the double linked list are used for storing types, contents and styles of HTML elements; converting nodes in the double linked list into document object model (DOM) elements; and generating the PDF document according to the DOM element. By applying the technical scheme, the accuracy of exporting the HTML data into the PDF document can be improved.

An example operation may include at least one of producing, by a class-conditioned sample generator executing on at least one processor communicatively coupled to a memory on a host platform, a synthetic feature set based on a label sequence and class information derived from received data, transmitting, by the host platform, a finalized synthetic sample to a computing device when the synthetic feature set satisfies a fidelity threshold, generating, by the computing device, a fidelity score based on a comparison of the finalized synthetic sample to the label sequence and the class information, retraining, by the computing device, the class-conditioned sample generator based on the fidelity score, and validating, by the computing device, the class-conditioned sample generator by transmitting a test prompt to the host platform, receiving a synthetic response generated by the class-conditioned sample generator, and comparing the synthetic response to previously stored synthetic data to validate the class-conditioned sample generator.

The invention relates to the technical field of data visualization and report generation, and provides a complex data dynamic export method based on template configuration, a computer program product and a system.The method comprises the steps that report layout and database information are recognized by extracting metadata of historical Excel files, and an Excel template file and a corresponding JSON configuration file are generated according to the report layout and the database information; then JSON configuration is converted into a corresponding dynamic SQL statement according to selection operation of a user on the Excel template file so as to execute query, configuration only needs to be updated instead of recoding and publishing, and the development efficiency and the instant configuration capability are improved; in the data exporting process, the output sequence is determined by analyzing formula elements, and the final report data is output in batches by adopting a streaming data pipeline technology, so that the big data exporting success rate is improved. According to the complex data dynamic exporting method, the capability of flexibly and stably dynamically exporting the complex data into the Excel report can be provided for an enterprise.

The invention relates to the technical field of artificial intelligence, and discloses a data processing method and device based on a mirror data layer, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-submitted data, generating submission batch information for the to-be-submitted data based on a data exit layer, and carrying out the partition management of the to-be-submitted data, and submitting the to-be-submitted data to a specified mechanism, when it is detected that the to-be-submitted data is submitted successfully, obtaining storage receipt information returned by the specified mechanism after receiving the to-be-submitted data; and when determining that the to-be-submitted data is successfully stored based on the storage receipt information, writing the to-be-submitted data into the mirror image data layer, and performing partition management on the to-be-submitted data according to the submission batch information to complete data submission of the to-be-submitted data. In the financial insurance field, especially in the life insurance business, the mirror image data layer provides a reliable data basis for data auditing and compliance inspection, the accuracy in the data management process is ensured, manual intervention is reduced, and an insurance company is helped to meet supervision requirements.

The invention discloses an intranet data anti-leakage method based on zero trust and a related device, and belongs to the technical field of information technology and data security. The method comprises the following steps: identifying mainboard information of terminal equipment through a desk management module, limiting all unauthorized data external transmission paths, and only allowing internal white list software to be installed; an isolation wall of an intranet and an extranet is established through a network isolation module, only one network is allowed to exist at the same time, a client is deployed at a credit granting terminal and is bound with a credit granting account, and a gateway end verifies a user identity through a security center and gives a corresponding access right; the flow management and control module is used for limiting the intranet flow to only access the white list website; through an outgoing approval module, mail outgoing is allowed and file outgoing parameters are set only after approval is passed; and single management and control of an external transmission path of intranet data and blocking of a secret divulging behavior are realized. Through real-time control and safety supervision, file protection and leakage prevention of intranet data can be achieved, operation is convenient and fast, and applicability is achieved.

The invention belongs to the field of digital pathological image processing, and discloses an OpenSlide-based digital pathological image processing method and a related device, and the method comprises the steps: obtaining a digital pathological image, calling an OpenSlide library to analyze a pyramid structure of the image to generate a multi-resolution hierarchy, and dynamically calculating a loaded image region based on a slice request instruction input by a user; a double-Canvas rendering mode is adopted, a bottom layer Canvas loads an image area in real time, a labeling layer Canvas independently renders a labeling path, and separation of an image and a label is achieved; and generating a closed path based on the superposed image and the annotation mode, and exporting the annotation data in a general format. According to the method, the user interaction experience is improved, the interface operation is more intuitive, the process is simplified, and the drawing mode switching is convenient; the labeling efficiency is improved, real-time adjustment of complex contours is supported, and the workload is reduced; a data export function is enhanced, effective association of annotation information is realized, and multi-format universality is supported; multi-level support is improved, level switching is smooth, loading is fast, and tool performance and user experience are improved.

A payment processing network configured for dynamic authentication integration is disclosed. The network comprises an Access Control Server (ACS) and an issuer processing system in communication over the network. The ACS is configured to receive an authentication request message (AReg) including a dynamic authentication code, extract the code, generate a validation request including the code, and transmit the validation request to the issuer processing system. The issuer processing system is configured to forward the validation request to a dynamic authentication system, receive a validation result from the dynamic authentication system, and return the validation result to the ACS. The ACS further comprises a risk calculation engine configured to receive the validation result, calculate a risk factor derived from transaction metadata, apply a risk modification algorithm that utilises the validation result and the risk factor to generate a modified risk factor, and generate an authentication response message (ARes) based on the modified risk factor for transmission over the communications network.

The invention relates to a flexible electronic skin integrated dust-breath bimodal detection system and detection method. A bimodal sensing module, a signal processing module, a wireless transmission module, a data application module, an abnormity early warning module and a power supply are integrated on a composite flexible substrate; the bimodal sensing module monitors a dust concentration characteristic signal of a working place and a breathing frequency characteristic signal of a worker in real time; the signal processing module receives the signals and carries out noise reduction and data fusion processing to obtain a data set D; the wireless transmission module transmits the data set D to the data application module in real time, performs data real-time display, historical data storage, report generation and data export functions, and supports synchronization to an occupational health management platform; meanwhile, the data application module can process data in the data set D and feed back a processing result to the abnormity early warning module, and the abnormity early warning module correspondingly triggers an early warning signal according to feedback data; according to the invention, the target can be continuously monitored, and a high-precision detection result is obtained.

The present application provides systems and methods for adaptive network resource allocation using application prioritization and deprioritization. An application prioritization manager (APM) receives data about an application, or other contextual data, from various components, and prioritizes the application's network resources among other applications that are also prioritized. The APM generates scores for different factors that are derived from the data, such as application type, application network usage, whether an application is minimized, or whether an application is in focus, among others. The APM combines the scores for the different factors into a combined score for the application, and prioritizes the application among other applications based on their combined scores. The APM selects a prioritization mechanism for the application based on the combined score, such as traffic shaping, traffic policing, traffic scheduling, or other techniques that control aspects of the network traffic.

The embodiment of the invention provides a data backup method and device, electronic equipment and a storage medium. The method comprises the steps that an index organization table of a database and a tree structure corresponding to the index organization table are obtained, and data in the database are stored in leaf nodes of the tree structure corresponding to the index organization table; exporting data of each leaf node in the tree structure to a backup folder; sequentially writing the data in the backup folder into a target library; according to the data written into the target library, an index corresponding to the data is reconstructed to serve as an upper layer node of the leaf node, a new tree structure is formed, and the new tree structure comprises the data and the index corresponding to the data. The method can improve the data backup recovery efficiency.

Systems, methods, and computer-readable media for communicating electronic device secure element data over multiple paths for online payments are provided. In one example embodiment, a method includes, inter alia, at a commercial entity subsystem, receiving, from an electronic device, device transaction data that includes credential data indicative of a payment credential on the electronic device for funding a transaction with a merchant subsystem, accessing a transaction identifier, deriving a transaction key based on transaction key data that includes the accessed transaction identifier, transmitting, to one of the merchant subsystem and the electronic device, merchant payment data that includes a first portion of the credential data and the accessed transaction identifier, and sharing, with a financial institution subsystem using the transaction key, commercial payment data that includes a second portion of the credential data that is different than the first portion of the credential data. Additional embodiments are also provided.

The invention discloses a marine geomagnetic diurnal variation station, which comprises a pressure-resistant sealed cabin, a proton precession magnetometer system for measuring the intensity of a geomagnetic field, a power supply system integrated in the pressure-resistant sealed cabin, a positioning and time synchronization module, an environment monitoring unit and the like, and is characterized in that the pressure-resistant sealed cabin is of a glass floating ball structure, and the interior of the pressure-resistant sealed cabin is divided into an upper part and a lower part; the power supply system comprises a plurality of lithium iron phosphate batteries, and the host unit comprises a CPU board, a simulation board and the like, and is further provided with a deck control unit and the like. The geomagnetic field intensity can be accurately measured, interference is reduced through the watertight cable structure, position information and time calibration can be provided, the internal state of the cabin can be monitored, parameter configuration, data export and other functions can be achieved, the device can work well on the land and in the deep sea, and the alarm can be triggered when abnormity occurs.

The invention discloses a local data security storage method for a non-networked vehicle, which comprises the following steps of: setting a vehicle-mounted MP5 (Mobile Pentium 5), and storing local data through the vehicle-mounted MP5; setting a three-level storage architecture for the vehicle-mounted MP5, and storing vehicle static information into a configuration data area; storing the operation parameters into a runtime data area according to a time sequence; storing the fault event into an event data area; implementing a hierarchical encryption strategy on data, performing full disk encryption on storage equipment, performing independent file encryption on sensitive data files, and implementing additional character encryption on key fields; an encryption key is derived based on a vehicle VIN code and a user PIN, a circular buffer management mechanism is established, and a secure data export interface is provided. According to the invention, the confidentiality, integrity and availability of vehicle local data can be improved, and the safety and reliability of vehicle data storage are improved.

Cloud computing architecture is described for implementing test modules in a communication-controlled cloud environment with access to private data. The test modules perform synchronous tests on the private data and export test results to an analytic environment subject to data export policies. An analytic application is used to asynchronously analyze the test results in the analytic environment. The cloud computing architecture alternatively or additionally includes an interface for deploying investigation-bound cloud environments in restricted subnets. A collection of software is instantiated in the investigation-bound cloud environment, and the investigation-bound cloud environment may be accessed with remote access credentials using a remote access protocol for testing the collection of software. Information about the investigation-bound cloud environment displayed in the analytic application, and the analytic application and the restricted subnet are forcibly deleted when the investigation is complete.

The invention discloses a processing method for exporting partition table data, which is used for solving the technical problems of low cross-partition query efficiency, inconsistent file size and lack of concurrent processing capability in the prior art. The method comprises the following steps: firstly, reading configuration information from a task detail table to generate an export task, counting the data volume of each partition, and distributing data to an output file with a fixed line number according to a sequential filling strategy; an innovative coding scheme is adopted to record a distribution result, different partition data containing conditions are represented through characters'-'and'. 'and numbers, and compressed coding is carried out on continuous empty partitions; sending a distribution result to a message queue to realize multi-server concurrent processing; the consumer decodes the distribution information and then executes restrictive query according to a partition sequence, and data is exported concurrently by using streaming query in cooperation with multiple threads; and a perfect state monitoring and exception recovery mechanism is established, and an MD5 verification file is generated to ensure data integrity. According to the method, the processing efficiency of partition table data export and the system reliability are effectively improved.

The invention discloses a human-exoskeleton interactive virtual simulation platform, which adopts a layered architecture design and comprises a user interface layer, a simulation engine layer and a data storage layer. According to the platform, an interactive interface is constructed through App Designer, the platform is realized based on a Matlab-OpenSim joint simulation function, and the functions of model import, control algorithm configuration, real-time visualization and data export are supported. Modularized design is achieved through an incremental development mode, PID, fuzzy PID and a sliding mode control algorithm are combined so that a user can optimize an exoskeleton control strategy by himself / herself, and the balance state of the human body is dynamically analyzed through a mass center calculation and unbalance evaluation module. The platform provides a human motion simulation view and a foot supporting surface change diagram, and man-machine interaction force, muscle force and joint track data can be obtained after simulation. The platform solves the problem that an exoskeleton man-machine interaction virtual simulation platform is lacked in the market, efficient tool support can be provided for exoskeleton structure design and control optimization, and the exoskeleton research and development efficiency is remarkably improved.

The invention provides a CSV file exporting method, system and device based on JAVA and a medium, and belongs to the technical field of computers. The method comprises the steps that a Java entity class is combined with an annotation to specify a field export format, request mapping is set in a Web project, and a basic array separation header and a field name are analyzed through a tool class; after header data containing UTF-8BOM is written into the output stream, field values are obtained or Map key values are traversed through a reflection mechanism according to object types, data formats are converted according to annotation or default rules in combination with formatting processing factory types, special character escape is completed, and the output stream is written. According to the method, automatic and efficient export from the structured data to the CSV file is realized through data format definition driven by annotation, general export logic packaged by a tool class and a multi-type adaptation mechanism of reflection and a factory mode, and the method is suitable for data export scenes of various Java projects.

The invention relates to the field of data storage, in particular to a block chain technology-based data storage system, which comprises a registration platform, data extraction, comparison verification, data storage and overall operation, and is characterized in that the registration platform comprises an operation platform, personnel authentication and personnel identification; the data extraction comprises data indexing, data exporting, data integrating and recording taking; the comparison verification comprises marking point comparison, page comparison and verification recording; according to the method, uploaded data are split and fragmented, then the fragmented data are randomly stored in regional chain nodes with similar data, and the fragmented data are covered by the same data, so that the fragmented data are shielded to a certain degree, and meanwhile, exclusive data of the fragmented data are subjected to certain replacement through a secret library for encryption; therefore, the data is prevented from being leaked, and the accuracy of the data can be known through the use record when the data is used, so that the safety and the accuracy of the data used by the user are guaranteed.

Methods and apparatus for supporting generation of a virtual 3D object Methods (100, 300) are disclosed for supporting generation of a virtual 3D object. The methods include, at a preprocessing node, obtaining heterogeneous input data for the virtual 3D object (110), aggregating the heterogeneous input data (120), and generating a contextual prompt from the aggregated heterogeneous data (130), the contextual prompt comprising a text string conveying semantic information with respect to the virtual 3D object, which semantic information is derived from the aggregated heterogeneous input data. On detection of a trigger event, the preprocessing node provides the contextual prompt to a processing node (140). The methods further include, at a processing node, inputting the contextual prompt to an ML model (220) operable to generate a prompt for a Text-to-XR function within the processing node, and contextual metadata for the virtual 3D object. The methods further include, at the processing node, using the generated prompt to generate a representation of the virtual 3D object (230), and providing the representation and the contextual metadata for the virtual 3D object to an XR client (240).

To provide a test precondition data derivation apparatus capable of easily deriving test precondition data corresponding to a test case.SOLUTION: Teacher data storage means stores teacher data used when generating, by machine learning, a model for deriving test precondition data that is either an SQL statement for registering data in a database of a system under test before execution of a test, or a file to be stored in a predetermined folder of the system under test before execution of the test, or both. Machine learning means generates a model for deriving the test precondition data by machine learning using the teacher data. Test precondition data derivation means derives test precondition data corresponding to a test case by applying the input test case to the model.SELECTED DRAWING: Figure 4

Methods and apparatuses for providing an estimated time of arrival at a point of interest (POI) in a navigation system are described. According to one embodiment, the method includes collecting driving data and trajectory data, generating parking time data of the vehicles by deriving times required for the vehicles to park based on the trajectory data and integrating the times required for the vehicles to park, deriving travel times of the vehicles traversing links leading to an entrance to the parking lot based on the driving data, calculating the vehicles' entry wait times by aggregating the travel times, and generating entry wait time data by integrating the vehicles' entry wait times, and deriving estimated times of arrival of the vehicles by summing the times required for the vehicles to park and the entry wait times, and generating estimated arrival time data by integrating the vehicles' estimated times of arrival.

1. Name of the product in this design: Graphical User Interface for Exporting ECG Data from Electronic Devices. 2. Purpose of this design: To display interface content. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Electronic devices are designed in a conventional way, so other views are omitted. 6. Purpose of the graphical user interface: A graphical user interface used for exporting data from ECG acquisition equipment. The main view is the main interface of the ECG acquisition device. The interface change state diagram 1 is the export data pop-up window displayed when the export option is clicked in the main view state. The interface change state diagram 2 is the interface displayed after clicking the select button to select case information and data file in the interface change state diagram 1 state. The interface change state diagram 3 is the start export data interface displayed after clicking the OK option in the interface change state diagram 2 state. The interface change state diagram 4 is the pop-up window displayed after successful export in the interface change state diagram 3 state. 7. Human-computer interaction methods of graphical user interface: Human-computer interaction can be achieved through mouse dragging, sliding, placing, and clicking.

The application relates to the technical field of data processing, and discloses a large file export optimization method and system based on real-time memory monitoring. The method comprises the following steps: monitoring a memory state in real time and calculating a memory growth rate; taking the growth rate as an independent risk dimension, and giving a warning when the rate exceeds a threshold value and the memory usage rate does not reach a threshold value; performing adjustment in response to the warning, including dynamically updating the throughput control of the data shard size, and triggering the degradation mode to reduce the export field to the data precision control of the core field; and attaching an instruction page to the export file during degradation. Through trend prediction and dynamic control, the application reduces the risk of memory overflow and guarantees core data export.

The invention discloses an intelligent tracing detection system for automobile seat heating pad resistance, and relates to the technical field of automobile seat heating pad quality detection.The system calculates a resistance deviation index REI by collecting bar code information, multi-dimensional resistance parameters and sewing related data of a heating pad and judges performance abnormity according to a tolerance threshold value; and for first-level abnormal start sewing interference monitoring, calculating a sewing interference index SII to judge the interference condition. A resistance drift trend index RDI is further obtained through trend modeling, and dynamic monitoring of the resistance performance trend is achieved in combination with a drift threshold value; all key parameters are structurally bound with a unique identifier TLI to form a complete traceability record, and multi-condition screening and historical data export are realized; the system can accurately identify heating pad resistance performance abnormity and sewing quality problems, improve product detection efficiency and quality traceability, and guarantee safe and reliable operation of the automobile seat heating pad.

The disclosure provides a method for training a graph neural network. The method includes: obtaining initial graph structure data corresponding to the terminal device, initial graph structure data respectively obtained by distributed training terminals being derived from the same sample graph structure data; and performing a graph structure data processing stage and graph neural network training stage cyclically, until a target neural network satisfying a training requirement is obtained: determining a processing opportunity for currently performing a graph structure data processing stage based on historical execution data of historically performing a graph structure data processing stage and a graph neural network training stage; performing, based on the processing opportunity, graph structure data processing on initial graph structure data in the graph structure data processing stage, to generate target graph structure data; and training, based on target graph structure data, the target neural network in the graph neural network training stage.