22 results about "Common Data Format" patented technology

Described are examples for creating a graph model for data obtained from multiple data sources and stored in a common data format. A selection of columns of data stored in the common data format that are to be associated with one another in the graph model can be obtained. Based on the selection, a graph model can be created including metadata that defines a list of vertices corresponding to at least a portion of the columns and a list of edges between two or more of the vertices identifying a relationship between corresponding columns. A graph query or graph algorithm can be performed over the graph model of the data as stored in the common data format without requiring copying of the data to a separate graph database.

Converting telemetry values into common data formats in a processor-based system in an integrated circuit (IC) chip is disclosed herein. In one aspect, an IC chip comprises a processor-based system that that is configured to receive an input telemetry value from an input source circuit. The processor-based system converts the input telemetry value into a common format telemetry value, wherein a first unit value represented by a least significant bit of the common format telemetry value is greater than one (1) and is based on a quotient of a power of two (2) and a corresponding power of 10. The processor-based system then processes common format telemetry value.

Described are examples for creating a graph model for data obtained from multiple data sources and stored in a common data format. A selection of columns of data stored in the common data format that are to be associated with one another in the graph model can be obtained. Based on the selection, a graph model can be created including metadata that defines a list of vertices corresponding to at least a portion of the columns and a list of edges between two or more of the vertices identifying a relationship between corresponding columns. A graph query or graph algorithm can be performed over the graph model of the data as stored in the common data format without requiring copying of the data to a separate graph database.

Methods and systems are described for assessing a computer network using a graph model. In some instances, the methods comprise: receiving data from at least one data stream of a plurality of data streams, wherein the plurality of data streams comprise computer network data provided by one or more data brokers, and wherein the data received from different data streams of the plurality comprise different data formats; converting the data received from the at least one data stream to a common data format comprising a node or an edge; updating a graph model comprising a plurality of nodes and edges stored within a graph database according to the node or edge of the converted data; and providing a user of the computer network with a visualization of a status of the computer network.

The application discloses a kind of novel photovoltaic device transient dynamics calculation design system and method, system includes: user parameter input module is used to receive and manage the input parameter required by simulation;Device structure construction module is used to construct the layered structure model of target device based on input parameter, and define the space interval, physical property and interface boundary condition of each layer;Physical model selection and coupling module is used to construct corresponding coupled partial differential equation set according to the device type of target device;Space grid division module is used to construct the space discrete grid of layered structure model, and the calculation precision of interface and thin layer area is enhanced using non-uniform grid division mode;Core numerical solution module is used to solve coupled partial differential equation set, and obtain simulation result;Data export module is used to output simulation result as general data format.

The invention relates to the technical field of knowledge maps, and provides a secret state knowledge map method based on attribute-based searchable encryption, which relates to four types of entities: a trusted center TA, a cloud server CS, a data owner DO and a data user DU, combines attribute-based encryption and searchable encryption, and expands to a common data format of a knowledge map. The problems and defects of multi-user support, fine-grained access control, query function singleness and the like of the conventional secret-state knowledge graph are overcome, and an innovative scheme considering fine-grained access control, efficient semantic retrieval and strong privacy protection is realized.

Converting telemetry values into a generic data format in a processor-based system in an integrated circuit (IC) chip is disclosed herein. In one aspect, an IC chip includes a processor-based system configured to receive an input telemetry value from an input source circuit. The processor-based system converts the input telemetry value to a generic format telemetry value, wherein a first unit value represented by least significant bits of the generic format telemetry value is greater than one (1) and based on a quotient of a power of two (2) and a corresponding power of 10. The processor-based system then processes the generic format telemetry value.

By converting various types of data into data in a more easily usable format, failure diagnosis can be performed more efficiently using the data.A failure diagnosis system includes: an edge system which is an electronic system; a failure diagnosis device configured to diagnose a failure of the edge system; and a computer which is an external device. The failure diagnosis device distinguishes data acquired from the edge system and the computer according to a type of the data, extracts a data element included in the data based on predetermined interpretation processing for the data, converts the data element into a predetermined data code corresponding to an item of a common data format regardless of the type of the data, and generates diagnosis intermediate data in which the data code is assigned to the corresponding item, and performs diagnosis analysis of a failure in the edge system using the diagnosis intermediate data.

The invention provides a student wrong question automatic acquisition method based on an intelligent correction system. The method comprises the following steps: S1, acquiring a homework set of any student and inputting the homework set into the intelligent correction system to obtain a correction result; s2, judging whether the correction result meets a triggering condition or not: if so, turning to S3; if not, returning to the step S1; s3, extracting multi-modal wrong question contents including question contents, student answering contents and correction results from the homework set; s4, based on the knowledge graph and the error classification system, performing structured information labeling on the multi-modal error content to obtain an error mastering result; step S5, obtaining a redo correction result of the student for the wrong questions and updating a mastering result of the wrong questions; and S6, storing the updated error question mastering result, the updated multi-modal error question content and the updated structured information according to a general data format. The method has the beneficial effects that full-process automation can be realized, multi-modal information is covered, and high-quality structured error data is generated.

According to one embodiment, a machine learning utilization support apparatus includes a database and a first processing circuit. The database stores a candidate of a machine learning task and second data having a common data format and related to a description of the candidate in association with each other in advance. The first processing circuit receives a dataset, converts each sample of the dataset to first data in the common data format, retrieves a candidate of a machine learning task associated with the second data corresponding to the first data in the database based on the first data, and generates suggestion data including a candidate of the machine learning task and a description of the candidate based on a retrieval result of the candidate.

The embodiment of the invention discloses a test script data generation method and device, electronic equipment and a readable medium. A specific embodiment of the method comprises the steps of recording first page data according to an operation behavior of a user on a test application in response to determination of execution of recording of a test case; according to the recorded first page data, a test case in a general data format is generated, and the general data format can be converted into at least two different data formats which can be read by a bottom layer driving engine; and converting the test case into test script data executable by the target terminal according to a data format readable by a bottom driving engine of the target terminal. The embodiment is related to a terminal test technology, and the application range of the test case can be expanded by generating the test case in a general data format. Therefore, the situation that the test case is unavailable and needs to be regenerated due to upgrading or replacement of the bottom-layer driving engine of the terminal is reduced or avoided.

The application belongs to the technical field of database, and particularly discloses a real-time data collection method and system based on database logs. The method comprises the following steps: a data analysis step, reading real-time data record files, and encapsulating data in each record and related information of the data into standard data with a common data format; a buffering step, sequentially saving a series of standard data in a data buffering queue, stopping the data analysis step when the amount of data in the data buffering queue exceeds a preset threshold, and triggering a flow control mechanism; and a writing step, calling corresponding plug-ins based on the type of a target system to be written, and sequentially writing the standard data in the data buffering queue to the target system. The application has the advantage that a data buffering queue mechanism is introduced in the data processing process, effectively solving the problem of inconsistent data production and consumption rates, and providing buffering isolation capability in the case of abnormal target systems, thereby avoiding data collection link blockage.

A system is provided.SOLUTION: A system comprising: means for acquiring sales data of real stores; means for acquiring online sales performance data; means for converting the sales data of the real stores and the online sales performance data into a common data format; means for detecting and correcting duplicate data and missing data; means for storing the converted data in a database; means for acquiring price information of the real stores and the online stores from the database; and means for displaying the acquired price information on a user terminal.SELECTED DRAWING: Figure 1

The invention discloses an Internet of Things data format conversion method and device, a storage medium, a program product and computer equipment, the method is suitable for an Internet of Things platform, the Internet of Things platform pre-stores a standard object model and a mapping relation table, the standard object model comprises standard equipment attribute information, and the mapping relation table comprises the standard equipment attribute information. The mapping relation table is suitable for indicating the mapping relation between the attribute information of the standard device and the attribute information of the original message of each device in a plurality of devices, and the method comprises the following steps: receiving an original message from a target device, the target device being included in the plurality of devices; and converting the received original message into a target message based on the attribute information of the received original message and the mapping relation table by using a pre-constructed script, the format of the target message being matched with the attribute information of the standard device, and the format of the target message being matched with the attribute information of the standard device. Therefore, the data format of the target equipment can be converted into the general data format of the Internet of Things platform in a low-cost manner.

This invention belongs to the field of large language model technology, specifically a method for constructing large language models based on DSL, SYSML, and UML constraints. The method includes: constructing a five-layer unified capability stack, embedding constraint concepts into the large language model at the architectural level; defining a unified intermediate representation (UIR) as a universal data format; injecting constraint concepts into model weights at the parameter level through a four-stage unified adjustment process of corpus immersion, graph semantic learning, inference pattern learning, and capability alignment; constructing a unified inference pattern library covering requirements analysis, architecture design, behavioral modeling, constraint verification, code generation, and document generation; and using the UIR and the inference pattern library to guide inference, achieving synchronous generation and constraint verification of multiple output types. This invention enables the large language model to form structured constraints internally, resulting in outputs that naturally meet engineering requirements, and solves the problems of easy failure of external constraints and poor cross-domain adaptability.

A rooftop unit includes a housing, air conditioning components coupled to the housing and onboard circuitry enclosed within and / or coupled to the housing. The onboard circuitry is programmed to receive data from a plurality of data sources communicably coupled to the onboard circuitry. The data is received in a plurality of different formats according to a plurality different protocols. The onboard circuitry is also configured to translate the data from the plurality of formats into a common data format and perform operations onboard the rooftop unit using the data in the common data format.

The application discloses a data reading method, a data reading device, an electronic device and a storage medium. The data reading method comprises the following steps: acquiring a network universal data format file, original dimension information and attribute information to be read, and matching the original dimension information and the attribute information with preset file features corresponding to the network universal data format file to obtain a data positioning method; converting the original dimension information into coordinate information according to the data positioning method; and reading target data in the network universal data format file according to the coordinate information. The data reading method can quickly locate and read the target data in the network universal data format file, and reduce the low-frequency unnecessary database space occupation and storage cost.

In a communication system 1, a first communication unit 12 of an equipment server 10 communicates messages in a common data format with plural device servers 11. A equipment control unit 13 controls the access control system 6 including one or more passage restriction units 7, based on the message received by the first communication unit 12. The passage restriction units 7 are provided in the building 2 so as to be capable of restricting passage of plural devices 3. The device server 11 transmits the message to the equipment server 10 when the device 3 passes through a place where the passage restriction unit 7 is provided. The equipment control unit 13 determines whether or not the message is invalid based on the message received by the first communication unit 12. The equipment control unit 13 outputs an authentication request to the access control system 6.

A media content management server is configured to receive, from a first remote server, first metadata associated with a first set of content items, the first metadata representing a first parameter for each of the first set of content items in a first data format, and further to receive, from a second remote server, second metadata associated with a second set of content items, the second metadata representing a second parameter for each of the second set of content items in a second data format different than the first data format. Reformatted metadata is generated by reformatting the first parameter and the second parameter to a common data format. Rules engine circuitry is configured to generate a data transfer package by comparing the reformatted first and second parameters to content access rule data to determine subsets of content items for inclusion in the data transfer package.

This invention discloses an energy-carbon entropy quantification data model within a user-side energy microgrid data optimization structure. Based on embedded energy-carbon consumption data, an energy-carbon consumption quantification data entropy algorithm with a universal data format and data link architecture is constructed. This model addresses the lack of objectivity in the underlying data used for energy-carbon consumption data analysis and optimization within user-side microgrid data platforms. By introducing multiple quantifiable data sub-items and their associated data entropy algorithms, this model reduces subjectivity and uncertainty during data analysis, improving the objectivity and accuracy of data processing. This model is applicable not only to the applicant's data platform but also to various user-side energy analysis and optimization data platforms.

Store a subscription dataset for each tenant of a multi-tenant system, each of the subscription datasets having a common data format native to the system, the subscription datasets including billing data and not behavioral data. Determine primary features from a particular subscription dataset. Derive secondary features from the primary features. Generate a churn prediction model based on the primary features and the secondary features. Obtain a second subscription dataset, the second subscription dataset comprising billing data that is more recent than the particular subscription dataset. Identify, using the particular churn prediction model and the second subscription dataset, one or more subscribers as a churn-risk. Report the one or more subscribers identified as a churn-risk.

Provided herein are methods and materials using multi-omics assay to detect DNA, RNA, and / or polypeptides. In some cases, the methods and materials provided herein can be used for simultaneous detection of one or more target analytes (e.g., a target gene of interest) in a sample. In some cases, the outputs generated are standardized into a common data format, thereby allowing integrated processing, interpretation, and comparison across multiple different types of analytes (e.g., biomolecular classes). For example, the method includes simultaneous detection of DNA, RNA, and / or polypeptides in a single sample.