100results about "Structured data retrieval" patented technology

A system may include a robotic control circuit configured to control one or more robotic functions of a robot. A system may include a plurality of sensors configured to collect data. A system may include a governance analysis circuit configured to analyze the data and select one or more governance frameworks based on the analyzed data. A system may include a governance model circuit configured to generate a model that applies the one or more governance frameworks to determine one or more governance actions, wherein the robotic control circuit is configured to control the one or more robotic functions in accordance with the one or more governance actions, wherein the robotic control circuit, the governance analysis circuit, and the governance model circuit are integrated on a single substrate.

The invention discloses a regional resource distribution characteristic analysis method for a power grid power supply structure and a load, and relates to the technical field of characteristic analysis, and the method comprises the following steps: extracting change data of power supply output and load demand based on a regional resource distribution model, and forming a power supply-load time sequence characteristic pair; based on the power supply-load time sequence feature pair, analyzing the spatial mismatch between the power supply output and the load demand, and constructing a spatial distribution difference mode of the power supply and the load; calculating the accessibility and matching degree of power supply-load based on a spatial distribution difference mode in combination with power grid topology and power transmission constraints to obtain a realizable distribution pattern; and based on the distribution pattern, extracting coupling characteristics of the power supply structure and load distribution, and outputting a regional distribution characteristic analysis result. According to the method, the distribution pattern can be realized by extracting the time sequence coupling characteristics of the power supply and the load and combining the power grid topology constraint analysis, so that the problem that regional power supply-load mismatch is difficult to quantify and dynamically evaluate is solved.

A system for event-driven distributed data network analysis, the system includes: a multitude of domain data nodes, each comprising a stream storage, a multitude of transformation pods, and a product API, with each domain data node ingesting heterogeneous event streams, validating schema compliance, performing enrichments, and making data products available under versioned schema contracts; each domain data node further comprises a hardware-based edge intelligence appliance comprising an enclosure, a compute module with heterogeneous processing units selected from CPUs, GPUs, and TPUs, a secure enclave module for confidential execution of transformation code on encrypted data, a protocol-structured stream storage medium supporting multi-level retention, and industrial I / O interfaces configured for direct interaction with sensors, programmable logic controllers, and cloud-native services; an event mesh backbone processor configured to connect the multitude of domain data nodes via a publish-subscribe architecture, with the backbone guaranteeing exactly one-time delivery, partition-level sorting, and geo-replicated durability; a Contextual Intelligence Engine coupled with the Event Mesh Backbone processor, the engine comprising a semantic graph memory and a Streaming Graph Reasoner configured to map raw events into an ontology, perform graph joins in real time, and recognize composite causal patterns across multiple domain data nodes; a governance and policy control unit integrated into both the data and control layers. This layer enforces zero-trust security, role-based access control, real-time provenance tracking, and regulatory compliance; and An actuation interface coupled with the contextual intelligence engine and the governance layer. The actuation interface is configured to generate control commands for operational technology devices and digital workflows, thus closing the loop from data acquisition to autonomous decision-making.

Method for resolving a conflict in a set of information (200), comprising the steps identifying and storing existing information sources (210) with existing source confidence metrics (232); existing topics (220); and existing pieces of content (240) with topic confidence metrics (251);receiving a first piece of content (241) having a first information source (211); prompting large language model, LLM (150) to provide identified topics (222) addressed in the first piece of content (241); andfor each of the one or several identified topics (222) performing the following steps: identify an existing pieces of content (240) that is related to the identified topic (222); prompt a second LLM (160) to provide information regarding if the first piece of content (241) supports a particular existing piece of content (242); anddetermine the first topic confidence metric (252) based on a source confidence metric (253) between the first information source (211) and the identified topic (222) as well as an existing topic confidence metric (254) for the identified topic (222) and the particular piece of content (242).

Provided are a data processing method, an electronic device, a computer-readable storage medium and a computer program product, which relate to the field of databases. The data processing method comprises: determining, from a database, M data groups to be integrated, wherein M is a positive integer greater than 1, each data group to be integrated comprises a plurality of data records having sorting key values and has a corresponding sorting key value interval, a minimum endpoint value and a maximum endpoint value of the sorting key value interval are respectively a minimum sorting key value and a maximum sorting key value in each data record in the corresponding data group, and for any data group to be integrated, there is at least one other data group to be integrated, the sorting key value interval of which overlaps with the sorting key value interval thereof; and reintegrating the M data groups to be integrated into at least one target data group, and adding the at least one reintegrated target data group to the database.

The invention provides an electric power communication SDH network operation state real-time monitoring system and method, and the system comprises a multi-protocol adaptive collection module which carries out the collection of network element information, performance information, alarm information and equipment information of an electric power communication SDH network according to a preset strategy, performing standardization processing on the acquired multi-source heterogeneous data through a protocol analysis engine module to obtain structured data; the intelligent data screening and deconstruction module is used for analyzing, associating and identifying the structured data to obtain a key business entity; the lightweight packaging module is used for carrying out serialization and compression optimization on the key business entities to obtain lightweight packaging data; and the rendering module is used for carrying out real-time rendering on the basis of the lightweight packaging data to obtain a real-time visual operation state of the electric power communication SDH network. According to the invention, the acquisition efficiency is optimized, real-time monitoring is supported, the bandwidth cost is reduced, invalid data transmission is reduced by 80%, and the fault positioning time is compressed from an hour level to a minute level.

Techniques for reducing query compilation time are described. Dynamic compilation behavior based on query properties can reduce time and computational costs. For example, the techniques can identify stages and rewrite rules to skip or modify in the compilation process based on, among other things, properties of the parse tree and the query plan.

The invention relates to the technical field of environmental monitoring and data processing, and discloses a chemical enterprise environmental data acquisition system based on a data transmission and processing technology, which comprises a sensing layer, a transmission layer, a platform layer and an application layer, and is characterized by comprising the following steps: S1, the sensing layer acquires environmental data in real time through a sensor and equipment; s2, the transmission layer safely and stably transmits the acquired data to a cloud or a local server; s3, the platform layer realizes data storage, decontamination, analysis and visualization; and S4, providing a visual and intelligent management tool by the application layer, and monitoring real-time data by using a large screen. According to the chemical enterprise environment data acquisition system based on the data transmission and processing technology, sensors are installed at key parts of an enterprise, so that the system can monitor key parameters such as toxic gas and air quality in real time, convert the data into digital signals and transmit the digital signals to a data center through a data line or a wireless network to be processed and analyzed.

The present invention relates to an information management system and method. The information management system comprises a delivery subsystem, a curation subsystem, and a database. The database is connected with the delivery subsystem and the curation subsystem for storing a taxonomy library. The delivery subsystem retrieves a taxonomy from the taxonomy library and a portion of curated data corresponding to the retrieved taxonomy from the database. Further, the delivery subsystem provides the retrieved taxonomy and the portion of the curated data. The system and method enable efficient, secure, and accurate organization, curation, and delivery of data, thereby improving decision-making, collaboration, and data accessibility across the organization.

Systems and methods for performing entity resolution. In some aspects, the system obtains a plurality of attributes represented in a plurality of records from one or more sources. The system generates a plurality of match vectors based on the plurality of attributes. Each match vector includes a set of attributes that match between a pair of records and a remaining set of attributes that are not required to match between the pair of records. The system processes the plurality of match vectors using an entity resolution model trained to output a binary indicator regarding whether one or more pairs of records for a match vector be merged. The system merges the one or more pairs of records for each match vector of the plurality of match vectors having a corresponding binary indicator output from the entity resolution model that pairs of records for the match vector be merged.

Mechanisms are provided for rendering virtual objects in a computer generated virtual environment. Physical environment condition data is received and transformed into UV map data structure(s), where each UV map data structure comprises entries that store one or more environment condition values mapped from the physical environment condition data to the UV map data structure. A customized shader processes the UV map data structure(s) to apply environment condition effects to a rendering of a virtual object corresponding to the customized shader. The customized shader executes on the environment condition data of the UV map data structure(s) and specifies a modification to a representation of the virtual object due to the environment condition values represented in the UV map data structure(s). Generation of the virtual object in the virtual environment is controlled based on results of processing the one or more UV map data structures by the customized shader.

The present invention relates to a method and a system configured for analyzing computer events in the context of cybersecurity. In particular, the present invention relates to event collection, the normalization of elements specific to these events, and the calculation of an overall criticality score based on a similarity analysis with a database of reference events. Fig. 1

The present invention relates to a method for implementing a transaction between a sending entity and a receiving entity, defined by a form comprising a plurality of fields, including: Obtaining the contents of the fields of said form; Generating a structured file representing the transaction containing said data from the fields of said form, consisting of elementary objects of categories each defined by a predefined set of standardized object fields, each elementary object being composed of blocks defining subsets of said predefined set of object fields, and links between fields of the blocks; said generation of said structured file comprising the transcription of said contents of the field(s) of said form into the object fields of said structured file; Making available a message encapsulating said structured file;Extraction and processing of data from the fields of said structured file, in order to implement said transaction. Fig. 1;

The invention discloses an automatic network data acquisition method based on ScrapeGraphAI. The method comprises the following steps: receiving an identifier of at least one target network resource and a data extraction demand; constructing or selecting a processing graph (Graph) comprising at least one acquisition node, an AI analysis node and a formatting node based on a data extraction requirement; executing the acquisition node to acquire the content of the target network resource; executing an AI analysis node, including: utilizing at least one large language model (LLM) to perform semantic analysis on the content of the acquired target network resource based on a data extraction demand to identify and extract target data, where the identification and extraction of the target data are based on semantics of the content rather than a predefined fixed structure selector; executing a formatting node, and converting the target data extracted by the AI analysis node into predetermined or inferred structured format data; and outputting the structured format data. The invention further discloses a system, electronic equipment and a computer readable storage medium.

This invention belongs to the technical field of closed-loop management methods for health data in hospital convenience services, and particularly relates to a method and system for closed-loop management of health data in smart hospital convenience services throughout the entire process. It constructs a full-domain identity binding system based on blockchain technology, configuring identifiers and dynamic attribute tags for health data and assigning digital identity certificates to terminals / systems / roles; relying on a distributed graph database and tracking framework, it deploys a lightweight data collection agent and constructs a federated dynamic lineage graph based on medical parsing rules; it establishes a multi-dimensional operation traceability mechanism, expanding the collection of behavioral fingerprints and operation context data beyond regular logs, and adopts a dual-mode storage approach of blockchain evidence storage and local encrypted backup; it constructs an AI intelligent audit engine, transforming regulations into an audit rule base through a large language model, and combining unsupervised learning modeling to identify abnormal operations in medical scenarios.

A method for bidirectional mapping includes storing a relationship between a first service specification and a second service specification; receiving an application programming interface (API) call for the second service specification including a payload including a relationship type; verifying that the relationship type included in the payload corresponds to the relationship type of the relationship between the first service specification and the second service specification; verifying whether a complementary relationship exists between the first service specification and the second service specification in response to the relationship type included in the payload corresponding to the relationship type of the relationship between the first service specification and the second service specification; and updating the first service specification with dependent service details of the relationship between the first service specification and the second service specification in response to the complementary relationship existing between the first service specification and the second service specification.

Provided herein is an AI-based energy edge platform with a wide range of features, components, and capabilities for managing and improving traditional infrastructure, coordinating and coordinating with distributed systems to support important use cases for a series of enterprises. An Al-based energy edge platform may include a graphical neural network including a set of nodes representing at least one distributed energy resource (DER), respectively, and a set of edges interconnecting the set of nodes, respectively, where each edge represents at least one energy related feature between at least two nodes of the set of nodes. The platform may employ emerging technologies to improve the efficiency, flexibility, participation and profitability of an ecosystem and a single energy edge node. Embodiments may predict, plan, and manage energy demand and utilization in a larger distributed environment. Embodiments may employ intelligent provisioning, data summarization, and analysis to utilize an energy market connection, communication, and transaction support platform.

In various examples, table classification based query join reordering for relational database systems and applications are provided. In some embodiments, a relational database system is provided that includes a join optimizer that evaluates a join clause of a query and categorizes relational database tables as either fact tables or dimension tables based on a normalized cardinality statistic. The join optimizer uses the fact and dimension tables to deconstruct the query into a plurality of deconstructed query join trees. Individual deconstructed query join trees may be generated for each respective fact table. The deconstructed query join trees may be joined to generate a reordered join solution representing a sequential join of the plurality of deconstructed query join trees. An updated query may be generated based on the reordered join solution, and a query response generated that answers the query based at least on the updated query.

A query is received from a software application, with the query including at least a first subquery. In response to receiving the query, a database management system (DBMS) generates a query execution plan for the received query. Next, the DBMS optimizes the query execution plan based on the first subquery to generate an optimized query execution plan, wherein the optimized query execution plan includes at least a first pipeline, a second pipeline, a shared subplan, and a distinct operator, wherein the distinct operator is configured to eliminate duplicate tuples. Then, the DBMS executes the optimized query execution plan to identify and retrieve first data stored in a database. Next, the DBMS provides the first data to the software application.

A method includes providing a user query to an AI / ML pipeline. The user query requests a response based on data stored in a data topology, and the data topology is modeled using a semantic data model. The method also includes generating an initial data access query for retrieving the data from the data topology using the AI / ML pipeline and the semantic data model. The method further includes determining that the initial data access query includes a hallucination or error and performing an automatic loop one or more times. The automatic loop includes generating an updated data access query for retrieving the data; determining whether the updated data access query includes a hallucination or error; and, if so, repeating the automatic loop. In addition, the method includes using a final data access query with no hallucination or error to retrieve the data from the data topology in order to generate the response.

A memory block structure comprising: a plurality of memory blocks configured to store data of at least part of a graph or other non-linear data model as one or more linear data structures; a plurality of local controllers, each local controller associated with a corresponding memory block and configured to search and / or retrieve data of the graph or other non-linear data model by navigating the one or more linear data structures, wherein the linear data structure comprises a head node and a plurality of nodes each represented by at least a reference to a head node of the linear data and a reference to a further node of the plurality of nodes.

This application provides a real-time monitoring system and method for the operating status of a power communication SDH network. The system includes: a multi-protocol adaptive acquisition module, which collects network element information, performance information, alarm information, and equipment information of the power communication SDH network according to a preset strategy; a protocol parsing engine module, which standardizes the acquired multi-source heterogeneous data to obtain structured data; an intelligent data filtering and deconstruction module, which parses, correlates, and identifies the structured data to obtain key business entities; a lightweight encapsulation module, which performs serialization and compression optimization on the key business entities to obtain lightweight encapsulated data; and a rendering module, which performs real-time rendering based on the lightweight encapsulated data to obtain a real-time visualized operating status of the power communication SDH network. This application optimizes acquisition efficiency, supports real-time monitoring, reduces bandwidth costs, reduces invalid data transmission by 80%, and compresses fault location time from hours to minutes.

A computer-implemented method for sharing access to a database of records relating to clinical trial investigators amongst a number of users is disclosed. Each record includes a number of data fields associated with a clinical trial investigator and has associated metadata indicating a record owner. The method comprises: a) receiving a database query from a first user; b) resolving the query using a first subset of the records in the database including only those records for which the associated metadata indicates that the record owner is the first user and those records for which the associated metadata indicates that the record owner is another user which has registered a sharing rule in respect of the first user, whereby the first user is granted permission to access its records; and c) generating a result set including only those records used to resolve the query that satisfy the query.

The invention relates to the technical field of computer data processing and artificial intelligence, and discloses an auditing field automatic generation method and system based on semantic analysis. The method comprises the following steps: firstly, completing interface configuration and availability verification of a semantic understanding model or a multi-modal model through a model management module; inputting a caliber description, a field type, a dependent field, a source priority, a position clue, an output constraint and abnormality judgment in the intelligent field definition module, and generating a rule version; constructing a test data set based on the rule version and performing batch verification, and promoting version iteration by a precipitation deviation sample; mapping of the field identification and the rule version and the model version is established in metadata management, and a configuration benchmark is released; during operation, the generation engine locates the attachment according to the dependent field, after document analysis or OCR recognition, a prompt is organized to call the model to extract the field, structured analysis and format standardization are completed, the data model is written in, and finally rapid configuration generation of the audit field and stable adaptation of the cross-format attachment are achieved.

A system and method for determining when relay participant data is to be stored in a database in order to conserve memory space in the database. The method includes logging a participant as completing a designated leg if the participant completed the designated predetermined leg distance within the predetermined time window, the logging including recording data into the database regarding a distance and time the participant completed the designated leg, otherwise not recording the participant's data in the database if either the predetermined distance was not completed, or the predetermined distance was not completed within the predetermined time window. Upon determining that the participant successfully completed the predetermined distance within the predetermined time window, the method includes notifying the next participant on the relay team that their time window has commenced to complete their predetermined distance.

Systems and methods of obtaining data from a cellular network are disclosed. In some embodiments, visual query options are presented in a graphical user interface (GUI), wherein the visual query options define a query. Query option selections of the visual query options are received. A query template is generated in accordance with the query option selections. An audit of parameters is performed related with network elements of the cellular network in accordance with the query template. A report of the audit is transmitted to a user device. A visual representation of the report is presented in the GUI.

One or more computing devices, systems, and / or methods for generating a list of suggested queries associated with one or more keywords are provided. For example, one or more keywords may be received via a search interface. A plurality of queries associated with the one or more keywords may be determined based upon the one or more keywords and a historical query database. A plurality of relationship scores associated with the plurality of queries may be generated based upon a plurality of search sessions associated with the historical query database. The historical query database may be analyzed to determine a plurality of click rates associated with the plurality of queries. A list of suggested queries may be generated based upon the plurality of relationship scores and the plurality of click rates.

The invention relates to a method (10) for maintaining aeronautical equipment that establishes an acceptance threshold (Si) which determines, for each label (LABx), i.e., useful information to be predicted, whether or not it should be predicted. Thus, the method according to the invention does not simply predict, as is generally the case in known models, the label with the highest score, but predicts all the labels (LABx) that have a score greater than or equal to the acceptance threshold. Therefore, the operator is able to diagnose whether a failure has occurred on the aeronautical equipment since, in this case, the number of predicted label(s) is non-zero. Once a failure is observed, the operator is also able to determine what action must be taken on the equipment. Thus, the method according to the invention improves the operational availability of equipment while reducing maintenance costs. Figure for the abstract: Fig. 3

Malicious behavior of a device on a local network may be detected. A data stream from a device may be collected. A functional group may be created using behavioral data of devices of a known type. A behavior profile for the functional group may be generated and stored in a database. The data stream of the device is compared to the behavior profile of the functional group. A malicious behavior is indicated for the device in response to determining that the device's current behavior is not within a predetermined or configurable threshold of the behavior profile.

The embodiment of the invention relates to the technical field of computers, and discloses a data processing method and device, a storage medium, equipment and a program product, and the method comprises the steps: obtaining road data from a plurality of track data sources, and determining the road data corresponding to a changing road from the road data of each track data source; performing data change prediction on the road data corresponding to the changed road to obtain a predicted change time point of a road element in the changed road; based on the actual change time point and the predicted change time point of the road elements in the changing road, the change prediction contribution degree of each track data source to the road elements is obtained; and based on the change prediction contribution degree corresponding to each track data source, selecting a target data source from the plurality of track data sources, and taking the target data source as a business data source of the road business associated with the road elements. By adopting the embodiment of the invention, the data source helpful for business analysis can be accurately screened out.