268results 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.

An apparatus for integrating a plurality of proximate provider data structures in a digital environment, the apparatus includes a processor and a memory containing instructions configuring the processor to receive provider data from first entities, wherein provider data includes provider indicators associated with first entities, generate provider models in a digital environment by creating provider data structures based on provider data, identifying proximate provider data structures according to the provider indicators, and generating at least one provider model by integrating proximate provider data structures, operate a digital communication between the provider model and a user model from a second entity, wherein operating the digital communication includes detect an action datum and execute the action datum based on the user model, and generate a provider landscape as a function of the execution of the action datum.

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.

Methods and systems are disclosed for determining a disease state by acquiring a first plurality of nucleic acid sequences of genomic DNA from a sample of the intestinal tract of a subject. A first plurality of genomic abundance values for a first plurality of intestinal bacteria and a second plurality of genomic abundance values for a second plurality of at least 20 intestinal bacteria species are determined from the nucleic acid sequence. A model is applied to at least the first plurality of genomic abundance values and the second plurality of genomic abundance values, or one or more combinations thereof, thereby determining the disease state of the subject as an output of the model.

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.

An apparatus for generating a generalized linear model structure definition by generating a gradient boosted tree model and separating each decision tree into a plurality of indicator variables upon which a dependent variable of the generalized linear model depends.

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.

Systems and methods described herein relate to the automated generation of object reference structures for data purging processes. A primary query is executed in a database to identify first data objects with reference relationships to a root data object. Secondary queries are executed in the database to identify additional data objects with reference relationships to the first data objects or to other additional data objects identified in a previous one of the secondary queries. An object reference structure is generated based on the reference relationships among the root data object, the first data objects, and the additional data objects. The graphical representation is presented via a user interface. A purge instruction can be received with respect to at least part of the object reference structure. Execution of a data purge is triggered to purge data from the database according to the purge instruction.

The invention discloses a key scene generation method for an autonomous ship intelligent navigation test. The key scene generation method comprises the following steps: identifying a natural navigation scene and a key navigation scene from ship navigation historical data, and constructing a database; the distribution of the natural navigation parameters of the ships is obtained through statistics from the natural navigation scene database, and the ship navigation parameters, the ship motion parameters and the collision risk degree between the ships in the key scene are obtained from the key navigation scene database; constructing an initial scene in the test scene based on the natural navigation parameter distribution of the ship; inputting parameters obtained in the key navigation scene database into a WGAN-GP model, and generalizing to form a key scene navigation parameter generation model; and according to the navigation parameters of the background ship and the external access tested ship in the kth step length, predicting and forming the navigation parameters of the background ship in the (k + 1) th step length, and iterating to form a continuous test scene. According to the invention, a scene with a higher probability of occurrence of an encounter situation can be established, and scene support is provided for test and evaluation of an intelligent navigation technology.

In some implementations, there is provided a method that includes receiving a query request including a top k query operator for query plan generation, optimization, and execution, wherein k defines a threshold limit of query results for the top k query operator; inserting into a query plan a check operator associated with the top k query operator; in response to executing the query plan, checking, by the check operator, whether an early exit occurs due to the top k query operator reaching the threshold limit; in response to the early exit occurring due to the top k query operator reaching the threshold limit, stopping processing, by the check operator, including opening of another fragment of a database table; and in response to the early exit not occurring, allowing, by the check operator, the opening of the other fragment of the database table.

Systems and methods of processing queries for column-oriented database systems involve processing the queries to identify which of values of column data are to be accessed for the query. A select bitmap is then generated having k bits wherein each bit corresponds to one of the values of the column. The select bitmap is generated such that each bit representing a value of the column data that is to be accessed for the query has a first value and each bit representing a value of the column data that is not to be accessed for the query has a second value. Encoded values are then extracted from memory for each of the values represented in the select bitmap by a bit having the first value. The extracted encoded values are decoded to generate decoded query data. The decoded query data is then processed to generate result data.

The invention discloses a fault processing method and device, equipment and a medium, and belongs to the technical field of servers, and the method comprises the steps: setting a security network configuration item and an error processing configuration item for a manager port, and obtaining processor register information in response to fault alarm information received through a manager, the processor register information comprises a current fault diagnosis state, and whether fault diagnosis source data are collected or not is judged according to the current fault diagnosis state; in response to the collected fault diagnosis source data, judging whether the system is subjected to soft restart or not according to the error processing configuration item; and in response to soft restart of the system according to the security network configuration item, determining a fault type according to the fault diagnosis source data, and performing automatic analysis processing on the fault according to the fault type. Through compatibility of hardware and software, after a fault occurs, the manager can automatically collect fault source data and process the fault, and the correctness of fault processing is improved.

A method for bi-directional 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 that includes a payload that includes a relationship type; verifying the relationship type included in the payload corresponds to a relationship type of the relationship 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, verifying whether a complimentary relationship exists between the first service specification and the second service specification; and in response to the complimentary relationship existing between the first service specification and the second service specification; updating the first service specification with dependent service details of the relationship between the first service specification and the second service specification.

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.

An apparatus and method for providing a performance data output for a user is provided. Apparatus may include a computing device including a processor, which may receive a user datum and generate an interface query data structure including at least a query including an input field based on the user datum. The interface query data structure may configure a remote display device to display the input field to the user, receive at least a user-input datum into the input field, retrieve data describing attributes of the user from a database communicatively connected with the processor, and refine the interface query data structure based on data describing attributes of the user from the database. The processor may use a machine learning model including a classifier to correlate the user datum to the interface query data structure and data multipliers into a list and accordingly generate a strategy data.

Systems and methods for automated data extraction and analysis are disclosed. A search request is received from a user device. The search request is directed to a domain-specific database. The domain-specific database is searched based on the search request to identify at least one domain-specific document and a natural language processing (NLP) model is applied to extract textual data and metadata from the at least one domain-specific document. The textual data and the metadata is provided as inputs to at least one insight related machine learning model to generate structured insight data based on a set of taxonomies. Instructions are transmitted to a user device to cause the user device to display the structured insight data to the user.

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 disclosure relates, inter alia, to methods for monitoring cellular transitions associated with or indicative of a presence or a stage of an anemia-related disease.

Embodiments are provided for populating a preference database affiliated with a media playback system with preferences received for media items. A preference may be associated with a media item from a service provider account, and may be stored in the preference database in association with the service provider account. The service provider account may be associated with multiple user profiles used to access a media playback device, and the preference may be associated with one of the user profiles associated with the service provider account, and stored in association with the user profile. Further, the preference may be received from a user account different from a user account used to access the media item. In this case, the preference may be stored in association with the user account providing the preference. The stored preferences may be used to manage media content playback by the media playback system.

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.

The invention provides a photovoltaic measurement and control system, and relates to the technical field of photovoltaic measurement and control, and the system comprises a signal collection unit which is used for collecting sensing data generated by a sensor; the main control unit is used for controlling the whole test unit and summarizing the acquired sensing data into a programmable controller for display and storage; and the upper computer software unit is used for analyzing and processing the acquired data and outputting an operation control command to the lower computer. Sensing data stored in the main control unit are analyzed and processed through the upper computer, monitoring of the state of each module in the photovoltaic system is achieved, and the operation efficiency of the photovoltaic system is improved.

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

Presented are systems and methods for orchestrating a network digital twin map. A network digital twin map orchestration (NDTMO) may receive from a digital twin verification control (DTVC), a request to orchestrate a digital twin (DT) map. The NDTMO may determine whether to acquire a model of the DT map corresponding to the request, from a knowledge graph system (KGS). The NDTMO may orchestrate the DT map.