1062 results about "Data objects" patented technology

The invention discloses an intelligent medical record quality control method based on a rule and large language model hybrid engine, and relates to the technical field of natural languages, and the method comprises the steps: obtaining original electronic medical record data from a medical information system; performing post-structured processing on the original electronic medical record data, and converting an unstructured or semi-structured text in the original electronic medical record data into a unified structured data object readable by a machine; traversing a plurality of quality control points in a preset quality control rule base, and for each quality control point, adaptively selecting and executing a corresponding quality control path based on the converted structured data object; and based on the quality control results of all the quality control points, performing score calculation and generating a quality control report. According to the method, the automatic and deep quality control of the full-dose medical record can be realized, form inspection is covered, connotation logic analysis can be executed, the system is endowed with excellent flexibility and regional expansion capability, and reliable technical support is provided for improving the overall level of medical quality management.

The invention relates to the technical field of distributed architectures, and discloses a multi-screen cooperative control method based on an OpenHarmony distributed architecture and an all-in-one machine system.The method comprises the steps that a broadcast frame found by equipment is sent through an OpenHarmony distributed soft bus, security authentication is conducted on a plurality of display terminals responding to the broadcast frame, a virtual bus channel is established, and the virtual bus channel is sent to the display terminals; obtaining a virtual device group; creating a distributed industrial data object on the main control equipment of the virtual equipment group and synchronizing the distributed industrial data object to each slave display terminal to obtain a distributed data model; mapping the anonymous shared memory to an annular buffer area; and writing real-time data acquired by the industrial field equipment into an annular buffer area, and transmitting the real-time data to each slave display terminal of the virtual equipment group, in the method, each display terminal accesses an agent instance of an industrial data object through a distributed data management framework; and the requirements of high reliability, low delay and high consistency on multi-screen cooperative control in an industrial field are met.

The invention discloses an electric power multi-protocol data conversion method and system based on object model dynamic mapping, and the method comprises the steps: receiving an original protocol message, recognizing a protocol type, extracting a logic name as a unique identifier of equipment, extracting an object identifier as a measurement point identifier, and extracting an electric energy array as a measurement point value; according to the protocol type and the equipment unique identifier, matching a corresponding object model template from a unified object model library; mapping the equipment unique identifier, the measuring point identifier, the measuring point numerical value and the acquisition timestamp obtained by analysis to corresponding fields in a template; and generating an object model data object conforming to a standard format, packaging the object into a message, executing an encryption authentication mechanism of a network layer and a transmission layer through the power Internet of Things security access gateway, and sending the message to an Internet of Things management platform. According to the invention, standardized, automatic and secure access of different protocol terminals is realized through protocol analysis and the unified object model library.

The invention belongs to the technical field of data statistics, and particularly discloses a Python-based dynamic SQL (Structured Query Language) generation and data statistics method and system, a terminal and a medium. The method comprises the following steps: acquiring statistical demand configuration in an Excel file; analyzing the Excel file to generate a structured data object, and carrying out semantic analysis and metadata consistency verification on the natural language description; constructing an SQL abstract syntax tree through a Python analysis module, and executing syntax mapping and function replacement according to a database adaptation rule; connecting a target database through a Python database driver and executing an SQL query statement; and after a query result is obtained, outputting an Excel file, a visual chart or interface data. According to the method, automatic analysis, SQL dynamic generation, safe execution and intelligent result output of data statistics requirements are realized.

The invention relates to the technical field of data processing, and discloses a full-life-cycle-oriented engineering technology data governance method and a full-life-cycle-oriented engineering technology data governance system. The method comprises the steps that project object attributes are divided into an anchor point attribute set and an extended attribute set, a locking mark is added to the anchor point attribute set, the extended attribute set is layered according to stages to obtain a data object meta-model, a dependency relationship mapping table is established according to the data object meta-model to achieve automatic verification when the attributes are changed, and the attribute change is completed. And establishing a spatial topological graph and a process graph to diagnose inconsistent defects, establishing a weighted graph to quantitatively analyze change influences, evaluating data quality according to scene types, and intelligently complementing missing attributes. According to the method, the integrity and consistency of cross-stage transmission of engineering data, the real-time performance and accuracy of multi-professional data collaboration, the depth and automation degree of data quality diagnosis, the scientificity and comprehensiveness of change impact analysis and the flexibility and efficiency of data utilization are improved.

Techniques for caching data objects are described. An expiry policy and a reference for one or more user interface (UI) objects is maintained. A user interface (UI) comprising the one or more UI objects is presented. A determination that a trigger of the expiry policy for a first UI object has been triggered is made based on first data from the UI or the computing device. The first UI object is determined to be expired based on the trigger. A request for a second UI object and second data is generated based on the reference for the second UI object and the expiry policy of the first UI object. The request is transmitted to an information source. The UI is updated to replace the first UI object with the second UI object in response to receiving the second UI object and the second data.

The present invention relates to the domain of digital identity verification and presence verification. More particularly the invention provides identity verification methods and systems for verifying the identity of an individual associated with a trusted credential or a trusted credential data object. The trusted credential is stored on or is accessible at or through a user device—and has been generated by a trusted credential system that is distinct from (and that is located remotely from) the user device, while simultaneously verifying in real time, the live presence of the individual associated with the trusted credential, at the user device.

The invention provides an event processing method, system and equipment based on Internet of Things equipment and a medium, and belongs to the technical field of Internet of Things. The method comprises the following steps: receiving an Internet of Things equipment message through an MQTT Broker, identifying an event type according to a theme, and distributing the event type to a corresponding thread pool; concurrently analyzing the JSON load in each thread pool, and converting the JSON load into a structured data object; caching the data in a batch processing queue in a classified manner, and triggering batch processing based on a queue state; extracting batch data, generating an optimized SQL statement, executing writing, and processing exceptions; screening data based on a routing rule and asynchronously forwarding the data to message middleware; meanwhile, processing parameters are dynamically adjusted according to the equipment state data and the system load. According to the invention, efficient processing of Internet of Things equipment events is realized, and the system throughput, the resource utilization rate and the data processing real-time performance are improved.

Performing charge / showback operations in a large-scale data system by scanning multiple data sources to identify data objects for processing as a unitary group with respect to common characteristics that have an impact on finances within the system. Metadata of the identified data objects are stored in a dynamic dataset that defines a single data access unit for the referenced data objects. The system processes a user query regarding cost allocations, cost forecasts, and resource usage of respective groups within an organization. The query initiates a charge-back or show-back operation that allocates costs associated with each respective usage of resources by a department or cost center, and accesses the referenced data objects through the dataset as a single unit based on data content rather than data location in a file directory of the system.

The present disclosure provides techniques for identification of potential illicit activities (e.g., crimes) and / or abnormalities in large datasets. The techniques fuse data from various sources to purge normal records, analyze records using digital detective models, identify and utilize network-sequencing-chains to collect and process records, and generate reports (e.g., civic profile(s)) from the output of the digital detective models. The techniques comprise receiving data from data sources (e.g., government entities), pre-processing the data to determine records indicating illicit or abnormal behavior, determining crime types, inputting profiles into machine learning models trained to flag potential crimes, and generating encrypted data objects based on the output for review by authorized personnel. Robust security measures such as mission lock enforcement, quorum-governed privilege systems, and self-destruct capabilities may provide a digital security architecture to protect sensitive data and ensure system security.

The invention relates to the technical field of database management and data migration, and discloses a database metadata migration method, device, equipment and medium, comprising: configuring a metadata type mapping correspondence between a source database and a target database, establishing a source database read connection and a target database write connection, and obtaining a source data definition statement of the source database, storing the source data definition statement in a standard format, reading the source data definition statement from the intermediate storage medium, converting the source data definition statement into a target data definition statement conforming to the grammar specification of the target database, and finally executing the target data definition statement in the target database to complete the creation of the metadata object. By introducing the metadata type mapping corresponding relation and the standardized storage mechanism, the metadata difference between the heterogeneous databases is converted into a conversion process capable of being automatically processed, so that manual intervention is reduced, the migration error rate is reduced, and the automation level and reliability of database metadata migration are improved.

The embodiment of the invention discloses an application upgrading method and device, equipment, a terminal, a storage medium and a program.The method is applied to an operation system of a WebAssembly virtual machine and comprises the steps that a first upgrading instruction initiated by a to-be-upgraded application is received; the first upgrading instruction comprises application data retention indication information of the to-be-upgraded application; obtaining an old-version application corresponding to the to-be-upgraded application and an application data object of the old-version application according to application data retention indication information included in the first upgrading instruction, and storing application data in the application data object of the old-version application; receiving a second upgrading instruction initiated by the to-be-upgraded application; and recovering the application data in the application data object of the old-version application to the application data object of the new-version application corresponding to the old-version application according to the second upgrading instruction. According to the technical scheme provided by the embodiment of the invention, the application upgrading flexibility in the operation system of the WebAssembly virtual machine can be improved.

The invention belongs to the technical field of carbon footprint tracking management, and relates to a carbon neutralization-oriented building waste classification and cyclic utilization tracking method, which comprises the following steps of generating a physical-digital anchoring voucher bound with a source tracing data packet based on the obtained source tracing data packet; based on the physical-digital anchoring voucher, generating a waste tracing data object which records theoretical carbon emission reduction potential and is in a non-activated state; generating a transportation process consistency log based on the waste tracing data object; generating a terminal cross validation report based on the transportation process consistency log and the waste tracing data object; on the basis of the terminal cross validation report, updating the waste traceability data object by calculating the verified actual carbon emission reduction, and generating a verified emission reduction verification data packet; according to the method, the problems that the whole process lacks an anti-counterfeiting and tracing mechanism and the standardized development of the construction waste recycling industry is restricted due to the dispersity and tampering easiness of related information of the construction waste are solved.

The invention discloses a unified data access method and system for multi-protocol industrial equipment, and the method comprises the steps: constructing a unified equipment information model, and respectively establishing communication connection with at least two different types of industrial control protocol equipment through at least two different protocol adapters, receiving an original data message from the industrial equipment; starting a protocol adapter to parse the original data message so as to extract protocol specific data containing a device logic address, a data value and state information; mapping the protocol specific data to the unified equipment information model to generate a standard chemical control data object conforming to the specification of the unified equipment information model; and issuing the standard chemical control data object to an internal data communication bus so as to realize unified data supply for upper-layer application services. Therefore, an application developer can access and process all equipment data in a consistent and standard manner, the system integration complexity is greatly reduced, and the data fusion efficiency and stability are improved.

An image processing apparatus that can decide whether to perform temperature control on a desired object in an image and have a degree of freedom in a control range of a presented temperature. The image processing apparatus includes an image data input unit that inputs image data of the image, an object detection unit that detects the object in the image based on the image data, a type identification unit that identifies a type of the object detected by the object detection unit, a control determination unit that determines whether to perform temperature control to an object occupied area that is occupied by the object in the image based on an identification result of the type identification unit, and a temperature decision unit that decides a temperature of the object occupied area when it is determined to perform the temperature control as a determination result of the control determination unit.

A Health Value Analytics (HVA) system includes an electronic medical record (EMR) / HVA access device in the form of comprising machine instructions for facilitating a physician's workflow. A processor at a physician's work terminal executes the machine instructions to connect the terminal with a HVA server and / or an EMR server. The processor sends a medical information request for a patient and information related to characteristics and parameters of the terminal, to one or both the HVA server and the EMR server. The processor receives, in response, an EMR page generated and adapted by the EMR server for display on the terminal. The EMR page displays an electronic medical record of the patient, and one or more HVA data objects generated by the HVA server, after the EMR server adapts the EMR page based on mode information that includes characteristics of the terminal.

A data analytics system including an append-only first data store accessible to multiple clients and a second data store is disclosed. The data analytics system can be configurable to, in response to receiving first instructions from a first target system of a first client, the first target system separate from the data analytics system, create a first pipeline between the append-only first data store and the second data store. The first pipeline can be configured according to the first instructions to generate a client-specific data object and store the client-specific data object in the second data store. The data analytics system can be configurable to tear down the first pipeline upon completion of storing the client-specific data object in the second data store.

Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and / or the like for identifying one or more evidence text portions comprising one or more bases relied on by a generative machine learning model for assigning a plurality of model-assigned categorical identifiers to a plurality of text segment data objects associated with a document data object, and verifying the one or more evidence text portions with a verifier machine learning model to generate one or more classifications of the document data object and provide the one or more verified evidence text portions along with the one or more classifications.

The invention relates to a distributed storage cache hotspot prediction method and system based on an access mode. The method comprises the following steps: acquiring an access log to obtain original data; the gradient change of the access frequency between the adjacent data blocks is analyzed in real time to divide the hot spot range and identify continuous hot spot data blocks; constructing a time sequence based on the historical access record, and pre-judging an access hotspot in a future time period by applying a time sequence trend prediction algorithm; constructing a multi-dimensional feature vector and inputting the multi-dimensional feature vector into a machine learning prediction model to output a hotspot probability of the corresponding data object in a future time period; according to the hotspot probability and a popularity threshold value, scheduling the data predicted as the hotspot into a cache, and allocating corresponding cache levels or storage paths for the data objects with different popularity at the same time; and periodically updating the prediction model and the popularity statistics to obtain dynamic prediction and cache optimization of the hotspot data. According to the invention, the prediction of the hotspot data is realized, and the hit rate and the system performance of the distributed cache are improved.

The invention discloses a data verification method and system based on a Drools rule engine, and belongs to the technical field of data analys.The method comprises the steps that a data stream is accessed in real time, and the data stream is preprocessed to form a structured data object; receiving a verification rule configured by a user, and performing dynamic compiling and hot loading on the verification rule to update a rule base in the Drools rule engine; and inserting the structured data object as a fact object into a Drools rule engine, and executing the verification rule configured in the rule base by the Drools rule engine based on a ReteOO algorithm to generate a verification result. According to the method, real-time data stream processing and large-scale field association verification are supported, so that the data quality, the service efficiency and the overall reliability of the system in the aviation field are improved.

Provided herein are systems, methods, and computer-storage media for managing data object access in a catalog service account. The method includes detecting, at a catalog service account, by a catalog manager (CM), a user request to access a data object. The user request includes identification information of the user and a principal role associated with the user. The CM retrieves one or more catalog roles from a first catalog of the catalog service account. The one or more catalog roles correspond to the principal role. The CM determines a set of hierarchical data objects based on the user request. The set of hierarchical data objects comprise the data object. The CM performs a determination of whether access privileges of the set of hierarchical data objects and access privileges of the one or more catalog roles allow access to the data object. The CM grants access to the data object based on the determination.

A system for dynamically adapting a conversational artificial intelligence (AI) system includes a chatbot system, a feedback and classifier unit, and a document generator. The chatbot system generates a response to a user query. The feedback and classifier unit receives the user query, a large language model (LLM) provided response, and system architect provided feedback to create a data object. The unit retrieves a set of ternary questions from a questions database and processes the data object using the LLM to generate answers, creating a feature vector of ternary answers. It then determines a classification label for the feedback by processing the feature vector with a decision tree, where the label indicates a knowledge or behavioral update. The document generator creates a new document based on the classification label and feedback and updates a knowledge base or prompts database with the new document based on the determined classification label.

Methods, apparatuses, or computer program products that provide for monitoring performance of a server-based application associated with server interface functionality. In some examples, an interface definition data object that comprises a set of interface rules associated with managing communications between components of a multi-component system of an application framework is received, a server-based application associated with a particular type of programming format from a plurality of programming formats is generated based at least in part on the set of interface rules associated with the interface definition data object, utilization of the server-based application is initiated via the multi-component system of the application framework, and one or more actions associated with the server-based application is initiated based at least in part on whether the utilization of the server-based application satisfies defined performance criteria for the server-based application.

The invention discloses a hotspot sensing hierarchical storage and computing resource scheduling method oriented to multi-modal data, and belongs to the technical field of data center resource management. The core of the method is as follows: firstly, monitoring characteristics, access modes and computing node loads of multi-modal data in real time; secondly, a comprehensive popularity evaluation model is used for dynamically calculating the comprehensive popularity value of the data object, and the model comprehensively considers the data type, the access frequency, the data size and the task priority; then, intelligently scheduling the data to different performance levels of the hierarchical storage system according to the popularity value; and finally, when a calculation task is scheduled, synchronously sensing the heat and the position of required data, and carrying out collaborative scheduling by taking optimal data locality and load balance as targets. According to the method, storage and computing resources are managed cooperatively through the unified heat index, the problem of resource scheduling disjunction in a multi-modal data environment is effectively solved, and the system throughput rate, the response speed and the resource utilization efficiency are remarkably improved.

Methods, apparatus, systems, and articles of manufacture are disclosed to improve webservers using dynamic load balancers. An example method includes identifying a first and second data object type associated with media and with first and second data objects of the media. The example method also includes enqueuing first and second event data associated with the first and second data object in a first and second queue in first circuitry in a die of programmable circuitry. The example method further includes dequeuing the first and second event data into a third and fourth queue associated with a first and second core of the programmable circuitry, the first circuitry separate from the first core and the second core. The example method additionally includes causing the first and second core to execute a first and second computing operation based on the first and second event data in the third and fourth queues.

The invention relates to a construction safety monitoring method and system based on multi-mode intelligent agent cooperation, and belongs to the technical field of building engineering construction. The method comprises the steps of collecting multi-modal data and converting the multi-modal data into a unified data object; carrying out self-adaptive adjustment on the early warning threshold value T'i of the key monitoring index Mi; obtaining a normalized risk value Ri and a risk trend factor lambda i; calculating a comprehensive risk value DPRI, and determining an early warning level; calculating the contribution degree of each risk factor, and identifying a dominant risk factor; and generating an early warning response strategy. According to the invention, a collaborative analysis framework composed of a plurality of intelligent agents with independent functions is constructed, deep fusion and intelligent analysis of multi-source heterogeneous data are realized, a comprehensive risk value is calculated, risk tracing is carried out, potential safety risks are predicted in advance, and an early warning response strategy is generated. And the comprehensiveness of safety monitoring and the accuracy of early warning in a complex construction scene are improved.

The invention relates to an electric power cold and hot data judgment optimization method and system based on multi-dimensional data elements, and the method comprises the following steps: S1, building an automatic baseline of data assets and business attributes, and constructing a unified data asset portrait table and an access portrait table; s2, based on the unified data asset portrait table and the access portrait table, constructing multi-dimensional element features required by cold and hot judgment; s3, constructing a cold and hot judgment model, outputting a cold and hot temperature score for each data object according to the multi-dimensional element features, and performing grading according to the score; s4, according to the grading list obtained in the step S3, under the constraint of the SLA, by taking the minimum total cost and the optimal performance as targets, generating an executable layering and migration plan; and S5, based on the layering and migration plan, layering and migration are executed, and an operation log and an audit record are recorded. According to the invention, strong-adaptability cold and hot data management in a complex power business big data scene is realized.

Examples of the present disclosure describe systems and methods for using AI to identify regions of interest (ROI) in medical images. In aspects, medical reports and images may be provided to a second environment. The second environment may use the medical report data / medical images to train a natural language processing (NLP)-based algorithm to identify the location in images of ROI described in the medical report data. The output of the NLP-based algorithm may be stored in an ROI repository in the second environment. After the NLP-based algorithm has been trained, a request to train a user-specific model may be received in a first environment. Data objects for the requested user-specific model may be provided to the second environment, which uses the ROI repository to train the model. The trained model may be provided to the first environment, where the trained user-specific model / algorithm may be tested and stored.

Various embodiments relate generally to data science and data analysis, computer software and systems, and computing architectures and data models configured to facilitate management and performance of enterprise functions, and, more specifically, to an enterprise computing and data processing platform configured to implement applications and computerized tools configured to facilitate implementation of an enterprise data model to generate and manage component data objects representing enterprise tasks and processes, as well as portions thereof, any of which may be used to create and modify an enterprise data flow or a process flow, for example, using an enterprise computerized tool. In some examples, a method includes activating one or more applications as computerized tools to access subsets of one or more permissions, identifying an enterprise function data object to generate a third subset of permissions.

System, apparatus, and computer program products are disclosed for protected display of a shared visual data object for an audiovisual conference session. In one aspect, a method includes receiving the shared visual data object, wherein the shared visual data object comprises visual data associated with one or more shared user interfaces; determining, using user interface generation circuitry and based on the shared visual data object, one or more protected data values associated with one or more protected data fields; generating, using the user interface generation circuitry, a masked visual data object based on each masked representation and each spatial coordinate set; and causing, using the user interface generation circuitry and / or the communications hardware, the masked visual data object to be displayed using the audiovisual conference session.