414 results about "Data administration" patented technology

Techniques for knowledge discovery based on indirect inference of association are presented. A data management component (DMC) can determine and extract, in a structured format, entities, relationships between entities, and concepts relating thereto in documents, based on analysis of information in the documents and / or keywords relating to concepts, to generate an association inference model. Using artificial intelligence techniques, DMC can embed the entities and relationships to a common representation to generate and train a scoring model that can be used to evaluate and score similarity strength between entities, including entities that do not have a known relationship, and can predict or infer relationships, including indirect relationships, between entities or between concepts. In that regard, DMC or user can evaluate concept-level scores to determine a level of relationship between concepts. DMC can feedback information from the scoring model or evaluation to update the association inference model.

A safe and environmentally friendly data management system and method are disclosed, relating to the field of big data governance. The system includes: a server node; a front-end interactive interface, including access points and business directories for multiple ledger modules; a back-end storage architecture, including ledger documents and storage directories; a dynamic indexing engine for establishing a mapping relationship between the front-end interactive interface and the back-end storage architecture; and a heterogeneous integration unit for embedding internal hyperlinks and external URLs pointing to the regulatory platform within the ledger modules. By adopting this solution, multi-format independent ledger units are integrated flatly on the main interface, allowing direct navigation with a click, conforming to the habits of paper-based browsing. It is adaptable to multiple terminals, supports low-threshold deployment and smooth upgrades, and combines compliance management, intelligent retrieval, and cross-departmental collaboration functions. It overcomes the shortcomings of traditional compliance systems, such as cumbersome processes and inefficiency, enabling low-cost implementation, improving data management efficiency and compliance risk control levels, and adapting to the needs of enterprises of different sizes.

Techniques, apparatuses, and systems for facilitating efficient use of Unified Data Management functions, UDMs, and Unified Data Repositories, UDRs, that support centralized storage of any-UE-data related to a network service, where any-UE-data is data relating to service requests for the network service for all user equipments, UEs, in a wireless network. An example method, in a network exposure function, NEF, in a wireless network, includes discovering one or more UDMs that support centralized storage of any-UE-data related to a network service. The example method further includes, responsive to discovering the one or more UDMs, sending, to only one UDM among the discovered UDMs, a request for subscription to the network service.

The application discloses an industry data management method based on big data, and belongs to the technical field of industry data management, and specifically comprises the following steps: constructing an after-sales data warehouse based on historical after-sales maintenance records; extracting the correlation relationship of spare parts and restoring the level of finished parts from the after-sales data warehouse to construct a coupling correlation topology; screening abnormal samples deviating from the expected failure mode, extracting corresponding supplier production process parameters and batch information, and forming a process parameter set; deconstructing the coupling correlation topology and combining the process parameter set to establish an attribution mapping parameter set; constructing a causal inference model between the attribution mapping parameter set and the failure mode to obtain the attribution weight of each supplier batch to the failure mode; and marking the supplier batch with an attribution weight exceeding a preset threshold as a target traceability batch and outputting the same. The application realizes accurate attribution from after-sales failure data to a supplier batch, and provides a quantitative basis for supply chain quality control.

The present application relates to the technical field of land greening data management, in particular to a land greening system data information management method, comprising: arranging an ecological perception network composed of multiple source sensors in a target administrative region to collect vegetation physiology and soil environment data; carrying out denoising, interpolation preprocessing, standardization and coordinate system conversion in a data processing center to form a standardized basic ecological data set. Based on the data set, an attribute library containing multi-dimensional information such as tree species is constructed with a single plant or a reforestation plot as the smallest management unit, a dynamic three-dimensional green volume voxel model is generated in a geographic information system to reflect the spatial distribution of land greening resources. The model is used to calculate the carbon fixation and oxygen release potential values of different functional divisions, and a planning decision engine is called to generate suggestions for replanting or reforming in low potential value areas. The method effectively improves the data information processing efficiency, calls the planning decision engine to generate land greening implementation suggestions, and quickly and dynamically updates the land greening system data information.

A data management network node (12) is configured for use in a wireless communication network (10). The data management network node (12) stores subscription data (14) for a wireless device (16). The data management network node (12) receives, from network equipment (26), a request that requests subscription data (14) for the wireless device (16). Responsive to the request, the data management network node (12) transmits to the network equipment (26) a response that includes at least some of the stored subscription data (14). If the subscription data (14) included in the response indicates the wireless device (16) is subscribed to use a certain data network or network slice that is subject to secondary or slice-specific access control, the subscription data (14) included in the response includes at least one generic subscription identifier for the wireless device (16).

The application discloses an end-to-end communication record synchronization method and system, relates to the technical field of communication, and saves user personal communication record data in a private device, satisfies the convenient and safe use of the user in multiple terminals, and thus guarantees that the personal communication record data can be recovered, synchronized, conveniently saved and found, and accessed and used by the user at any time and in any place. The data of the user communication record does not need to be saved in a platform, is completely stored in the private device, and finally realizes the functions of the synchronization, recovery and storage of the user communication record data in multiple terminals, avoids data leakage to a larger extent compared with previous methods, guarantees the safety of the data, and realizes the convenient personal data management.

A method and system for identifying IP addresses of an edge device, obtaining associated IP metadata, and storing both the IP address and IP metadata locally is disclosed. The method comprises receiving, by a server, a network message from an edge device that includes an Internet Protocol (IP) address of the edge device, wherein the edge device is not privy to its own IP address. The server extracts the IP address from the network message and obtains associated IP metadata from an IP metadata server. The IP metadata is then transmitted from the server to the edge device for local storage, after which the server deletes the IP metadata to ensure it is not persistently accessible to the server while remaining persistently accessible to the edge device. The edge device utilizes the locally stored IP metadata in executing predefined functionality. The invention also encompasses a system comprising a server, metadata server, and edge device configured to perform these operations. Both the method and system aspects enable efficient IP metadata management while addressing privacy concerns and reducing server-side storage requirements through distributed edge-based storage architecture.

The application provides a medical personal data safe interaction system and a medical personal data management method, and belongs to the technical field of medical data management. The system provided by the application comprises an external network access module, an internal network data processing module, a one-way signal transmission module and an identity authentication module. The external network access module accesses the Internet, is used for establishing a connection with a user end, receiving an entity operation signal of the user end, and feeding back a medical data display picture to the user end. The internal network data processing module accesses the internal network, is used for calling medical data and corresponding applications from the internal network, responding to the entity operation signal and generating the medical data display picture. The one-way signal transmission module is connected with the external network access module and the internal network data processing module, and a two-way independent one-way signal transmission channel is constructed. The identity authentication module is arranged in the internal network data processing module, is used for verifying the identity of a user, and authorizes the internal network data processing module to call the medical data after verification.

This invention relates to the technical fields of data quality, data management, and data governance. Specifically, it relates to a method for simultaneously conducting data governance within a newly built business information system. This method establishes a general data management standard covering data specifications, database specifications, and process specifications; builds a supervisory standard that runs through the entire process of project requirements analysis, design, development, deployment, and operation and maintenance; and integrates these two types of standards into the technical requirements of the newly built business system project. Data governance is implemented step-by-step at each stage of the project, thus avoiding data quality problems from the source of business system construction. This avoids the additional costs and schedule risks of traditional post-event governance, ensures that the system data format is uniform, secure, and compliant, and can seamlessly integrate with the enterprise's existing data governance system, solving the problems of data silos, redundancy, and inconsistency in multi-system parallel scenarios.

This application belongs to the field of medical devices and relates to a handheld modular intelligent anoscope, including a main unit, an anoscope, and a disposable sterile adapter assembly that can be modularly connected to the main unit. The main unit includes a housing, a male threaded block, a high-definition camera, and a ring light disposed on the housing. The housing also integrates a snapshot switch, a lighting and recording switch, a USB-C interface, and a status display screen. The disposable sterile adapter assembly includes an examination adapter, a surgical adapter, and a pediatric adapter, for selecting one of the adapters to connect to the male threaded block of the main unit in different diagnostic and treatment modes, and to cooperate with the anoscope. This application also relates to an operating system, including an application running on a mobile terminal and a cloud platform. The technical solution provided by this application can achieve highly portable and wireless operation of the device while ensuring zero contact and infection prevention, and deeply integrate intelligent diagnostic and data management functions.

The application discloses a kind of digital conference information management systems, it is related to data management technical field, including dynamic analysis module, estimation intercept module, monitoring rating module, conference evolution module, conference efficiency analysis module;The application is synergized by dynamic analysis module and estimation intercept module, and accurate resource requirement list is intelligently generated, by real-time semantic analysis technology, the subject relevance between conference discussion content and established agenda is actively monitored and quantified, when detecting that discussion seriously deviates, the system will immediately issue a warning to the host, based on historical data to establish efficiency evaluation model, current conference key performance indicators can be quantitatively calculated and evaluated in real time, when efficiency value is lower than preset threshold, the system will automatically generate and push specific optimization suggestions, and personal meeting participation performance degree is automatically calculated according to the set algorithm model, to effectively stimulate the enthusiasm of participants, improve team collaboration quality.

In some examples, a data management and storage (DMS) platform comprises peer DMS nodes in a node cluster, a distributed data store comprising local and cloud storage, and at least one processor configured to perform operations in a method of creating a local consolidated patch file from a patch file chain stored in the cloud storage. Example operations comprise, in a first dry-run phase, creating a patch file image of data blocks in one or more cloud patch files stored in the cloud storage; in a second data-transfer phase, downloading at least some of the data blocks from the cloud patch files identified by the patch file image; and creating and storing, in the local storage, the local consolidated patch file using the downloaded data blocks.

Methods, systems, and devices for data management are described. A data management system (DMS) may receive a synchronization request to back up a set of files from a source database to a target database including a set of nodes. In some cases, each node of the target database may support storage of a set of data stripes, and a data stripe may include a logical subdivision of a file. The DMS may back up the set of files to the target database. The DMS may determine that a most recent data wedge is incompletely filled at a time corresponding to receiving the synchronization request, where a data wedge represents a cross section of data across multiple data chunks of a corresponding data stripe. The DMS may then generate a file including an indication of one or more data stripes corresponding to the set of files.

Methods, systems, and devices for data management are described. Techniques described herein may enable a database management system (DMS) to link databases of a failover group that spans multiple data centers across different clusters for the different datacenters. For example, a centralized control entity may indicate to the clusters in different datacenters that one or more databases in a first datacenter are in a same failover group as one or more other databases in a second datacenter. A database of the first datacenter may be a primary backup database from which a first cluster in the first datacenter may obtain transaction log backups. The first cluster of the datacenter may replicate the backups to a second cluster of a second datacenter, which may enable the second cluster to refrain from obtaining backups from a secondary backup database within the second datacenter.

Methods and systems for managing data are disclosed. Data may be stored in a database based on a likelihood that the data is to be read from the database. Data may be stored as a reduced-size representation of the data if the data is unlikely to be read from the database. Some requests for data may be associated with timeliness requirements. If data associated with a timeliness requirement is stored as a reduced-size representation, a likelihood of violating the timeliness requirement while reconstructing the data may be increased. Therefore, data that is likely to be requested may be stored in a reconstructed full-size form in a cache of the database. By doing so, the reconstructed full-size forms of the data may be retrieved from the cache and used for providing computer-implemented services in compliance with timeliness requirements for the data.

The invention presents a method for managing spatial data in a space and Earth surveillance or orbital operations security environment, the method being characterized by the following steps: Structuring the spatial data in the form of a directed acyclic graph (DAG); Associating each node with a creation date and traceability metadata allowing each node to be linked to the parent nodes from which it is derived; Including for each node numerical quality indicators and a confidentiality level specific to the data it contains; Transferring said metadata containing said indicators and levels from each node to the derived nodes; Managing and monitoring data transformations based on said quality and confidentiality metadata. Figure 2

A mobile-assisted diagnostic platform and method for vertigo, belonging to the interdisciplinary field of computer vision and assistive medical care, includes a data acquisition module, a data preprocessing module, a data processing module, and a data management module. The data acquisition module collects nystagmus videos via a mobile application. The data preprocessing module uses a binary classification neural network to remove interference frames and achieves coarse pupil localization through centroid calculation. The data processing module enhances spatiotemporal, channel, and motion features through a multi-path excitation module, combines a VST architecture to achieve nystagmus type recognition, and uses a dual-branch deep learning association model to correlate nystagmus type with vertigo classification. The data management module utilizes WeChat cloud services and a WeChat cloud database, supporting multi-terminal adaptation. This invention supports remote collaborative diagnosis and treatment between doctors and patients; it requires no dedicated medical equipment, is convenient while ensuring diagnostic accuracy, significantly reduces medical costs, and is suitable for home health monitoring, primary healthcare, and remote diagnosis and treatment scenarios.

The present application relates to carbon emission data management technical field, specifically related to a kind of carbon footprint intelligent management system based on cloud platform, the carbon footprint intelligent management system includes the following operations is executed: carbon activity record is collected as carbon temporary segment, and the corresponding source constraint and destination constraint are written for each carbon temporary segment, output the corresponding temporary carbon column of target business matter;Perform reverse fishing pairing, output the right carbon segment corresponding to target business matter;Cloud platform is according to right carbon segment, the right account is kept to the part that has been closed, to the part that has not been fished, keep as carbon segment to be pursued, and generate carbon footprint intelligent management result accordingly.The present application, by constructing the phased processing and dynamic matching mechanism of carbon activity, the accurate right of closed carbon activity and the continuous tracking of un-closed carbon activity are realized, so as to improve the integrity, accuracy and controllability of carbon footprint management.

The application relates to the technical field of data processing, and discloses a hybrid breadth-first and depth-first traversal backup method and device, which comprises the following steps: acquiring a maximum depth value and a concurrency control threshold value, determining a first backup list and a directory to be backed up according to the maximum depth value, and determining a second backup list according to the concurrency control threshold value; and calling a file processing callback function to back up each file in the backup list. Through the above method, the maximum depth value and the concurrency control threshold value are pre-configured, and the directory structure characteristics of different business scenarios are adjusted. According to the configuration parameters, the breadth-first traversal and the depth-first traversal are switched, the breadth-first traversal is preferentially used when the directory structure is detected to be relatively flat, and the depth-first traversal is automatically switched when a nested structure is encountered to perform in-depth traversal. The application can be applied to the business fields of financial technology, medical health and old-age care, and the efficiency of data backup of a data management system is improved.

A method and apparatus for generating a web application, the method comprising: determining whether a business database needs to be enabled based on an application creation request in natural language form; if the business database needs to be enabled, generating a user interface (UI) description file and a table structure description of the target data table to be created using a large model based on the application creation request, wherein the UI description file describes the configuration information of UI elements corresponding to multiple fields in the target data table; converting the table structure description information into a standard entity model, wherein the standard entity model describes at least the field names, field constraints, and corresponding tag names in the backend management page of multiple fields, and the standard entity model and UI description file are used to render the data management view in the backend management page of the target web application; generating a frontend user page of the target web application based on the client SDK of the business database; and creating the target data table in the business database based on the standard entity model.

This application relates to the fields of artificial intelligence and data processing technology, specifically providing a data management method, system, device, and medium based on a dual-track verification and self-healing mechanism, aiming to solve the problems of compatibility and logical errors between multiple databases. To this end, the data management method of this application includes: generating first and second target structured query statements based on a user-provided natural language question; verifying the completeness and consistency of the first target structured query statement to obtain a first verification result; verifying the correctness of the execution logic of the second target structured query statement to obtain a second verification result; if the first verification result and / or the second verification result are verification failures, obtaining verification error information, regenerating new first and second target structured query statements based on the verification error information and the natural language question, and continuing verification; otherwise, retrieving target data from the target database based on the second target structured query statement to improve query accuracy.

This invention belongs to the field of plant quarantine technology and discloses an IoT-driven real-time monitoring and early warning device for plant quarantine pests. The on-site monitoring terminal collects multi-dimensional on-site data related to pests; the edge computing module performs real-time preprocessing, feature extraction, and preliminary anomaly detection on the on-site data; the IoT transmission module enables bidirectional data transmission between the edge computing module and the cloud-based early warning platform; and the cloud-based early warning platform performs in-depth analysis of the received data, pest identification and density assessment, and executes tiered early warning and data management. This invention provides comprehensive monitoring dimensions, enabling monitoring of all types of pests at all times: integrating multi-sensor detection units, image acquisition units, and trapping units, and combining pheromone, vibration, spore capture, and image acquisition methods, it achieves monitoring of various plant quarantine pests such as insects, fungi, and bacteria.

Embodiments of the present disclosure provide a weather station network layout evaluation and design method and system integrating multi-source observation requirements. The method is applied to the technical field of weather observation station network layout design, and includes five steps of requirement matching, efficiency evaluation, simulation optimization, layout decision and closed-loop feedback. In this way, the present application realizes efficient visual display by integrating multi-source observation requirements, constructing a comprehensive data management system and constructing multi-dimensional station network evaluation and design algorithms, and significantly improves the overall efficiency of weather station network data management and application.

This application discloses a data management method and a cloud management platform based on a cloud management platform, which can improve user experience. The method includes: a user sending a data processing request to the cloud management platform; the cloud management platform obtaining the arrival time of the data processing request in a first period and notifying the primary storage node to provide the arrival time of the data processing request in a second period; the cloud management platform selecting a third period with the latest end time from the first and second periods; the cloud management platform notifying the primary storage node to process the user's data and synchronizing the processed data to the backup storage node; and the user sending a data access request to the cloud management platform; the cloud management platform determining whether the arrival time of the data access request is earlier than the end time of the third period; if so, the cloud management platform notifying the backup storage node to return the data before processing; otherwise, the cloud management platform notifying the backup storage node to return the processed data to the user.

A host device and a method of operating a host device are provided. The host device includes a cache configured to temporarily store data copied from a main memory, and a processor configured to process data read from the cache. The cache includes a plurality of ways, wherein each of the plurality of ways has an area distinguished by a plurality of indexes, the data includes first data, and the plurality of indexes includes a first index. The processor includes a cache management circuit configured to generate the first index by using a first adaptive matrix and a first vector, wherein the first adaptive matrix is based on upper bits of a first address corresponding to the first data, and the first vector is based on lower bits of the first address, and manage the first data to be temporarily stored in an empty area among areas corresponding to the first index in the plurality of ways.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method for operating a home-session management function (H-SMF) in a wireless communication system, according to an embodiment, may comprise transmitting a first message requesting subscription data for a packet data unit (PDU) session to a unified data management (UDM), receiving, from the UDM, a second message including the subscription data and information about allowing routing of roaming traffic to an edge hosting environment (EHE) of a home network, and selecting a home-edge application server discovery function (H-EASDF) based on the second message.

A management device 40 manages a production line 12 (a casting device 12) for a product 20. The management device 40 includes a memory 28 for storing sensor information received from a sensor 16 located in the production line 12, a memory 24 for storing control information in the production line 12, and a memory 32 for storing fault information, including image data of a product identified as faulty with respect to a fault in the product 20. The management device 40 includes a display unit 48 and a display controller 46, which causes the display unit 48 to display a screen G12 containing fault information 52, sensor information 54 corresponding to the fault information 52, and control information 56 corresponding to the fault information 52.

This application discloses an automatic data management function generation system and device, applied in the database field. The device is equipped with the system. The system includes: a data source design module for generating table metadata in response to user input commands in a graphical design interface; an automatic form generation module for generating front-end code for forms by recognizing the table metadata; a business layer data encapsulation module for encapsulating the front-end form data, enabling the encapsulated form data to interface with back-end business logic; and a historical data management module for storing historical versions of form data. This reduces workload while avoiding code oversights and errors caused by human error.

This invention relates to the field of data management technology, and discloses an Internet of Things (IoT) terminal management method and system. By receiving the total power generated by each IoT terminal in a photovoltaic (PV) power plant, the total output power of the PV power plant is determined. When the active power value generated by the PV power plant or the actual value of the high-voltage busbar of the PV power plant's main transformer is compared with the target value issued by the dispatch center, the active power limit of the inverter is automatically adjusted to bring the current active power or voltage generated by the PV power plant closer to the target value, improving accuracy and control speed, meeting grid demand, enhancing the peak-shaving capability of the IoT system, ensuring that the operation of the new energy power plant and the grid is within a safe and controllable range, and calling upon the planned total output power of the PV power plant, thereby realizing active power control and reactive power control of the PV power plant. It tracks the active power adjustment target value and reactive power adjustment target value issued by the dispatch center, achieving the grid connection technology requirements for high-precision peak-shaving of the PV power plant.