69 results about "Data export" patented technology

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 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.

This invention provides a VBA-based method for calculating the helix parameters of a cylindrical battery, comprising: establishing a VBA data processing module; and performing calculations according to the following steps: S1: running and initializing the VBA tool; S2: building an interface module to create an interface for solving the helix parameters of the cylindrical battery; S3: inputting and reading data through a data input and preliminary data processing module; S4: performing calculations based on the data input in step S3; S5: storing and outputting the arc length and theta data calculated by the core calculation module in step S4 through a drawing and data generation module; S6: exporting the data stored in step S5 to a new worksheet through a data export module. This method can greatly simplify the engineer's workflow, reduce experimental costs, shorten the R&D cycle, quickly evaluate cell design schemes, assist engineers in effectively evaluating cell designs, and improve efficiency in the cylindrical battery manufacturing process.

This application provides a data export method, apparatus, device, and storage medium, relating to the field of storage technology. The method includes: after establishing a connection with a target device via a USB interface, sequentially copying the storage information in the first N sectors of the disk to the target device through a global memory variable; after the storage information copying is complete, converting the data in the first data sector into document data and storing it in the global memory variable; when reading the target document, first copying the document data of the first data sector from the global memory variable to the target device, then sequentially converting the data in subsequent data sectors into document data and copying it to the target device through the global memory variable, until the target document export is complete. This application utilizes a global memory variable to flexibly and dynamically export documents according to the file system specifications, without requiring additional disk storage space to store the generated documents, significantly saving hardware costs.

The utility model discloses a novel heat exchange module control box of control technical field, including host case, the bottom fixedly connected with a bottom plate of host case, the top fixedly connected with display screen control panel of bottom plate, the one end fixedly connected with bottom electric control board of bottom plate close to display screen control panel, and the top electric control board is provided with in the top of bottom electric control board of bottom plate. Host case inside is provided with special installation chamber, and the fixing, installation and wiring work of circuit element, terminal are convenient, guarantee the neat and safety of internal circuit, and the maintenance process is simplified. Adopt microprocessor as core control unit, realizes accurate temperature control and circulating pump speed adjustment and so on function, and is equipped with multiple protection mechanism (such as overload protection, short circuit protection etc.), ensures the stable operation of system and personnel safety. Integrated efficient data processing module can automatically record the data of each operation, and supports data export or direct printing output, is convenient for subsequent analysis and archives.

A computer-implemented method of generating verification data for a query result provided by a large language model, LLM, includes generating a prompt for the large language model. The prompt contains a verification request for a query, the query including query text and input data from which the query result can be derived. The verification request includes instructions that cause the LLM to generate verification data that indicates a derivation of the query result from the input data. Another computer-implemented method includes receiving the verification data and processing the verification data to determine whether the query result was validly derived from the input data.

Pilot Cognitive Reasoning System and Method. A system for determining a pilot's cognitive state includes one or more processors coupled to a memory, the processors being configured to receive physiological data and aircraft status data; determine the pilot's mental workload and mental fatigue based on the physiological data; determine the pilot's available attentional resources based on the mental workload and mental fatigue; determine the pilot's attention allocation based on the available attentional resources and a gaze pattern derived from the physiological data; determine the pilot's situational awareness based on the attention allocation and the aircraft status data; and generate visualizations of the pilot's available attentional resources, the pilot's attention allocation, the pilot's situational awareness, and the aircraft status data.

This invention relates to an intelligent processing method and intelligent generation system for prefabricated pipeline information. The method specifically includes: S1, receiving raw pipe segment data exported from 3D modeling software; S2, performing data preprocessing on the raw pipe segment data to obtain standardized data; S3, generating two grouped output sets based on the standardized data; and S4, using the simulated total length of surplus material as a benchmark parameter for comparison, selecting the intelligent processing result from the two grouped output sets. With the transformation of the construction industry towards industrialization and standardization, prefabricated installation technology for electromechanical engineering has become the mainstream trend in industry development. The solution described in this application can solve existing technical problems, transforming the uneven distribution of various cutting length parameters into complementary lengths, ultimately intelligently generating reasonable allocation parameters for prefabricated pipelines, thereby effectively reducing material waste.

To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.

The application provides an intestinal preparation quality real-time evaluation and whole-process management system based on artificial intelligence, which comprises the following functions: patient end provides intestinal preparation start time setting, laxative type selection, examination process and matters needing attention query and online consultation function; medical staff end provides patient management, progress and cleanliness score monitoring, early warning processing, data export and message interaction function, wherein the intelligent data acquisition module acquires multi-dimensional data; the artificial intelligence dynamic scoring module analyzes the data based on a deep learning model, generates a cleanliness pre-score and determines a quality grade; the active early warning and intervention module analyzes the data in real time, issues an early warning and provides intervention suggestions; the medical examination result closed-loop verification module receives the doctor's score after colonoscopy, compares and analyzes the pre-score, and optimizes the evaluation model. The application realizes the standardized guidance, active risk early warning and closed-loop optimization management of the intestinal preparation process, effectively improves the preparation quality, guarantees the safety of patients and optimizes the clinical decision-making.

Embodiments of the present application provide an information recommendation method and device, a server and a storage medium. In the method, a business server obtains an encryption policy result of each to-be-processed user according to a policy processing request, a target user representation set and encrypted behavior feature information of an associated user sent by a merchant server, and then returns the encryption policy result to the merchant server. When it is detected that a to-be-recommended user is in a recommendation scenario, the to-be-recommended user is recommended information according to the policy result corresponding to the to-be-recommended user obtained from the merchant server. The technical solution uses rich user association information in the business server and uses behavior feature information of the user in the merchant server, avoids user plaintext data export and leakage, solves the data island problem and ensures data compliance, can mine user hidden consumption potential on the premise of ensuring data security, and improves information recommendation accuracy.

In one implementation, a device may obtain a set of OpenTelemetry data generated by instrumenting an online application. The device may form a group of OpenTelemetry data associated with a common event and comprising at least a portion of the set of OpenTelemetry data. The device may derive, using the group of OpenTelemetry data, information for display to a user interface regarding the event. The device may provide the group of OpenTelemetry data for sampling, after deriving the information for display.

An enterprise insights data set transformation apparatus comprising one or more processors and one or more memories storing instructions that are operable, when executed by the one or more processors, to cause the enterprise insights data set transformation apparatus to: access an enterprise insights data set from a selected enterprise tenant of an external software platform; transform the enterprise insights data set to define a flattened structure thereby generating a restructured enterprise insights data set; and store the restructured enterprise insights data set to an enterprise data warehouse, wherein the restructured enterprise insights data set is configured for training one or more enterprise analytics machine learning models.

A device and method for detecting the pull-out force of planetary gear shafts in automatic transmissions belong to the technical field of automotive automatic transmissions. The device includes a base, a gantry bracket, replaceable testing support fixtures, a pressure detector, a testing platform, a pressure sensor, a hydraulic cylinder, replaceable pressure heads, guide columns, and a hydraulic mechanism. All components are rigidly connected. The fixtures and pressure heads are interchangeable to accommodate different specifications of planetary gears. The hydraulic mechanism supplies pressure to the hydraulic cylinders, and the pressure sensor collects force values. The testing method includes four steps: fixture adjustment, placement and positioning, pull-out detection, result judgment, and completion. Hydraulic force is applied to press the shaft, the sensor collects data, and the detector performs judgment, storage, and data export. This invention, through multi-system collaborative design, achieves accurate and quantitative detection of the pull-out force at the riveting joint of the planetary gear shaft. It combines versatility, convenience, and data traceability, effectively solving many shortcomings of existing testing methods and providing reliable assurance for riveting quality control.

The application provides a cross-hospital pathological quality risk collaborative early warning method and application thereof, and belongs to the technical field of medical data processing. In view of the data privacy barrier and whole-link risk tracing problem in cross-hospital pathological quality control, the scheme adopts a vertical federated learning architecture, each local node extracts quality characteristics and encrypts and uploads gradients, and realizes global model training without domain data export; the whole-link feature correlation of cross-hospital circulation samples is realized by using non-sensitive attribute hash mapping; the risk contribution degree of each link is quantitatively calculated and the root cause is located by combining the Bayesian network and the marginal contribution algorithm, and then the hierarchical collaborative early warning is triggered. The application is mainly used for private compliance quality control, risk real-time early warning and responsibility tracing of the whole link of pathological diagnosis in a medical association scene.

The application discloses a kind of active NFC-based touchless material transportation data acquisition and protection system, it is related to logistics monitoring equipment technical field, including monitoring host module, active NFC module and waterproof and installation structure module;Wherein, monitoring host module includes the transport monitoring host (100) being set in the shell inside, acceleration sensor module (101), storage module (104) and power module (105) are integrated in transport monitoring host (100) micro-control unit MCU (102), monitoring host module is used to collect vibration, impact and inclination data in the process of material transportation and the data is locally stored and managed, active NFC module is integrated in the inside of transport monitoring host in the application and cooperates with wave-transparent waterproof structure, task creation, equipment automatic identification, touchless firmware upgrade, real-time data viewing and historical data export are all transferred to mobile phone NFC radio frequency link, under the condition of maintaining IP67 waterproof level, touchless interaction of whole process of material transportation is realized.

This invention proposes a method, system, and storage medium for constructing a Rorschach corpus for depression screening. It collects multimodal raw data related to the Rorschach test, and performs editing and preprocessing. A core data model is constructed to store the multimodal data and their relationships. Through a data entry and import module, the multimodal data is stored in the core data model. Through a data association and retrieval module, cross-modal relational queries and a unified view are provided. Through a data export and sharing module, the data is exported in a specified structured format. Through a deep learning model integration module, the multimodal data is used for predictive analysis and stored in the core data model. The method, system, and storage medium for constructing a Rorschach corpus for depression screening provided by this invention avoid the problems existing in current Rorschach test research data management, such as poor multimodal data correlation, difficult version management, low collaboration efficiency, non-standard metadata recording, and difficulty in supporting deep learning model training.

The application discloses a water level monitoring device and method for hydrological engineering geology, and belongs to the technical field of water conservancy projects. The device is composed of a floating device (containing a floating plate, an inflatable air bag, a propeller, etc.), a monitoring device (containing a placing box, a detection system, a roller, a traction rope, etc., the detection system containing an alarm lamp, a signal transmitter, a solar module, an AI module, etc.) and a fixing device (containing a ring-shaped circular groove, an extension mechanism, a fixing plate, a drainage hole, an electromagnet, etc.). The device is operated according to the steps of pre-deployment preparation, initial positioning and lowering, preliminary stabilization and attack segment drilling, depth adaptation and final fixation, installation state feedback and initial data calibration, real-time monitoring and abnormal treatment, device recovery and data export, realizes stable, accurate and intelligent monitoring of the water level, solves the problems of traditional devices, such as being easily disturbed by the environment, being unstable in fixation and being low in monitoring accuracy, and is suitable for various water area scenes.

The GEPA system is a method for suggesting personalized fitness training plans based on customer data collection, analysis, and standardization. The process includes the following steps: Step 1: Receiving and entering customer data; Step 2: Standardizing that data into groups of metrics that can be processed by algorithms; Step 3: Assigning the customer to a training phase and displaying the training plan and roadmap; Step 4: Verifying access rights and exporting the data to the user.

This invention belongs to the field of data transmission technology and provides a method, apparatus, device, medium, and product for cross-network data export control, used to improve the security of data transmission between different network environments. The method determines the approval path based on the metadata about cross-network data and the applicant's identity identifier in the initial task order established by the applicant. The initial task order is signed along the approval path to obtain the target task order, and the target task order undergoes permission verification. Upon successful permission verification of the target task order, permission to export cross-network data is confirmed, thereby improving the security of data transmission between different network environments.

The application relates to a data transmission method and system based on an associated reference, wherein the method comprises data export and data import. In the data export process: an export request is acquired, wherein the export request contains the type and the identification of a component to be exported; a current component is acquired according to the type and the identification of the component to be exported; the associated reference of the current component is inquired to acquire the type and the identification of a dependent component, and then the dependent component of the current component is acquired, wherein the dependent component comprises a direct dependent component and an indirect dependent component; the file data of the current component and the dependent component are filled into a context component library and data processing is performed; and the file stream obtained after the data processing is subjected to data export. Through the application, the problem of low efficiency of data transmission of a business model is solved, the construction of associated references among components is realized, one-key and cascade export of the components is realized based on the associated references, and the data transmission efficiency of the business model is improved.

The present application belongs to the technical field of garbage classification, and particularly relates to a garbage sorting data intelligent conversion method and device, the method comprising: obtaining garbage sorting data of garbage sorted by a garbage sorting device; generating a sorting label according to the device information; generating an encapsulation array according to the sorting label; sorting parameters in the encapsulation array and generating a label array; and generating an Excel table through POI according to the garbage information and the label array. Through the above steps, the garbage sorting data can be summarized according to user requirements, so as to help users obtain required garbage sorting summary data; meanwhile, the garbage sorting data is summarized into an Excel table by using JAVA and POI technology, automatic data export is realized, and the data processing efficiency is improved. Moreover, the user can set the label mapping relationship between the preset summary label and the sorting label according to actual requirements, so that the flexibility is high and the customizability is better.

The embodiment of the application discloses a data cross-database migration method and device, relates to the technical field of big data, and comprises the following steps: when a cross-database migration instruction for migrating target data in a first database to a second database is received, a currently idle process group is determined, wherein each process group comprises a first process and a second process, the first process is used for exporting data in the first database, and the second process is used for importing data into the second database; a first process in the currently idle process group is called to export the target data in the first database and store the target data into a preset transfer module; and a second process in the currently idle process group is called to import the target data stored in the transfer module into the second database. The application has the beneficial effect of simply and efficiently migrating data across databases.

The application discloses a program verification metadata export method and device and a deterministic execution environment, and belongs to the field of compiling technology and formal verification. The method comprises the following steps: marking the pointer ownership state in the source code through attribute annotation; extracting the ownership conversion information and generating the structured metadata during compiling; and outputting the metadata to the special section of the compiling product, so that the memory safety of the program can be verified independently by directly reading the metadata by an external system. In order to make the exported metadata complete and inferable, a deterministic running environment composed of zero global state context, full-link memory management, capability token and deterministic execution suite is provided. In the application, specific attribute annotations in the source code are identified during the compiling process, the pointer ownership state conversion information and the function formal contract are generated into the structured metadata with a predefined binary format, and are written into the special metadata section of the target file (such as an ELF). In this way, the processing of the internal semantics of the program is changed from being internally digested and reformed by the compiler to being actively and standardized output to the external system, so that the technical obstacle that the program semantics information cannot be directly and reliably acquired by the external AI or verification tool is solved.

This invention provides a smart water meter reading and management device that allows for easy integration of smart water meters with the water rate systems independently operated by each water utility. [Solution] The present invention relates to a water smart meter reading and management device 31 which is connected directly or via API to data storage 21, 22 on the cloud and directly or via API to water rate systems 41, 42 owned by a water utility, wherein the water smart meter reading and management device 31 has a function (31a) to receive meter reading data from water smart meters 11 to 14 via wireless communication through the data storage 21, 22 on the cloud at predetermined intervals, and a function (31b) to export the meter reading data received by the function (31a) to the water rate systems 41, 42.

This application relates to a data export method and a terminal device. An application on the terminal device maintains a communication connection with a camera. Based on this communication connection, the application exports data files from the camera. A predetermined keep-alive strategy is used to ensure that the application continues exporting data files while running in the background of the terminal device. In this embodiment, the task of exporting data files from the camera begins while the application maintains a communication connection with the camera. Even when the application is running in the background, the predetermined keep-alive strategy prevents the application from being suspended by the operating system, allowing it to continue exporting data files from the camera. This effectively meets the requirement for a long-term, stable export of data files from the camera while the application is running in the background.

The present invention provides an operation method of an integrated gasification combined cycle, the method comprising the steps of: (a) securing basic data obtained from one or more raw materials and additives, one or more sensor means installed in the integrated gasification combined cycle, and intrinsic values of the raw materials and additives; (b) securing process data obtained from the sensor means; (c) securing output data obtained through the integrated gasification combined cycle; (d) collecting the basic data, the process data, and the output data to label the data with a machine learning model; and (e) deriving optimal operating conditions on the basis of the labeled data.

The application discloses an enterprise client data service management system, comprising: a data acquisition layer, used for collecting data change events in real time from multiple source heterogeneous data sources; an intelligent computing layer connected to the data acquisition layer, used for processing and calculating data, comprising a Merkle tree-based incremental synchronization module and an adaptive multi-engine query routing decision module; a service encapsulation layer connected to the intelligent computing layer, comprising a Lisp dialect-based unified index definition and translator, used for encapsulating business index definition as a standard data service API; and a unified access layer, providing a unified API gateway for external applications, used for receiving query requests and returning processing results. Through real-time acquisition and streaming calculation, the application shortens the data service response time from hours to seconds, meeting the stringent requirements of business on data timeliness. Implementation cases show that the time consumption of ten million data export is shortened from more than 30 minutes to less than 3 minutes, and the performance is improved by more than 10 times.