181results about "Object oriented databases" patented technology

The invention relates to the field of financial science and technology, and particularly discloses a cross-platform financial data integration and real-time analysis system and method. The system is characterized in that a distributed heterogeneous data acquisition module accesses multi-source data in parallel through a pluggable protocol adapter; the streaming data cleaning engine realizes field-level normalization based on a dynamic template and semantic mapping; the hybrid storage architecture forms a three-level system by a memory database, a time sequence database and distributed file storage; the stream processing core engine adopts an elastic sliding window to execute CEP complex event processing; and the dynamic analysis decision module integrates online machine learning to generate a real-time transaction signal. The method comprises the steps of multi-source concurrent acquisition and microsecond-level timestamp injection, context sensing data standardization, dual-channel data storage, event time window aggregation, dynamic risk calculation and block chain audit evidence storage. The defects of low data fusion efficiency, high real-time analysis delay and the like in the prior art are overcome, and cross-platform data processing timeliness and decision accuracy are remarkably improved.

The invention discloses a spacecraft space environment safety guarantee system and method based on three-step calculation, and the system comprises two subsystems: a space environment data service subsystem and a three-step calculation and analysis subsystem, and the three-step calculation and analysis subsystem calls data and an algorithm model from the space environment data service subsystem. The space environment safety guarantee analysis based on the three-step calculation is executed; the space environment data service subsystem comprises a metadatabase and a comprehensive database; the metadatabase comprises space environment space-based monitoring data, space environment foundation monitoring data and data from a specified space environment mechanism; the comprehensive database comprises a space environment numerical calculation model library and a spacecraft business application rule algorithm model library; the three-step calculation and analysis subsystem comprises a sun-earth space environment analysis and calculation module, a spacecraft orbit ring layer environment analysis and calculation module and a spacecraft task influence risk assessment and calculation module, and three-step calculation is executed through the three modules.

A method includes determining a set of features associated with a set of vertices of a directed graph, obtaining a set of feature values associated with the set of vertices, where each respective vertex of set of vertices is associated with a respective subset of feature values. The method includes determining updatable features based on the set of features, selecting a first subset of features based on the set of updatable features. Selecting the first subset of features includes determining candidate subsets of features, determining feature subset scores associated with the candidate subsets of features based on a category label, and selecting the first subset of features based on the feature subset scores. The method includes performing a first operation to determine extracted feature values by determining feature extraction input values.

The embodiment of the invention provides a data processing method based on a three-dimensional hierarchical data model, a platform and a medium. The method comprises the following steps: firstly, acquiring multi-source hydrogeological data; classifying the data to obtain a first type of data and a second type of data; then, according to the three-dimensional hydrogeological hierarchical model, extracting a hierarchical association relationship of the two types of data; the first class data and the second class data are used for representing the incidence relation of the first class data and the second class data at different levels of geological observation angles; storing the first type of data in a relational database, and storing the second type of data in a non-relational database; and finally, according to the hierarchical association relationship, establishing a hydrogeological knowledge graph and storing the hydrogeological knowledge graph in an interactive coordination system. According to the method, after the multi-source hydrogeological data are classified, the incidence relations at different levels of geological observation angles are extracted and stored in the relational database and the non-relational database respectively, mapping between the databases is established by adopting the knowledge graph, the multi-source hydrogeological data are effectively integrated, and meanwhile query is facilitated.

Various examples of improving an in-memory graph query engine using a persisted storage component are provided. The method includes updating data stored in an in-memory graph query engine and, based on updating the data, converting the data to a plain text form that may be more efficiently stored in the persistent storage component. The method further includes updates to additional in-memory graph query engines from the persistent storage component such that in-memory data stored in the graph query engines is synchronized.

The invention provides an SQL (Structured Query Language) statement generation system, a multi-source knowledge base cluster module comprises a plurality of vector libraries, each vector library is used for storing a data vector of a data type corresponding to the vector library, a query understanding module can analyze and process a natural language query problem input by a user after receiving the natural language query problem, and the query understanding module can obtain a query result. According to the technical scheme, the vector engine module can perform collaborative retrieval on at least one vector library according to the processed query problem to obtain the target data information, multiple data types are respectively stored in different vector libraries, so that only the vector libraries related to the processed query problem need to be retrieved, and the retrieval efficiency is improved. According to the method, the retrieval accuracy is improved, multiple vector libraries correspond to multiple data vectors of different data types, and the accuracy of the generated SQL statements can be improved.

The invention provides a data synchronization optimization method and system based on metadata version control, and the method comprises the steps: responding to the change of metadata of a barrel in a source site, generating a metadata synchronization log, and recording the version number of the barrel in the metadata synchronization log; pulling the metadata synchronization log from a site, and analyzing the metadata synchronization log to obtain a version number of the bucket; if the metadata of the bucket does not exist in the slave site or the version number of the bucket in the slave site is smaller than the version number recorded in the metadata synchronization log, stopping the current data synchronization operation, and adding the data synchronization task of the bucket into a data synchronization retry queue; and in response to the fact that the metadata version number of the bucket is consistent at the master site and the slave site, allowing the slave site to continue to execute the data synchronization operation of the bucket. Through combination of various technologies, the version of the metadata is automatically identified, so that the object is synchronized to the correct target bucket.

A computer-implemented method implemented in a blockchain network is described. Validation nodes receive data regarding a newly mined block comprising a plurality of transactions and send a delete request to a distributed memory pool to delete the plurality of transactions from the distributed memory pool. Nodes storing the distributed memory pool store a plurality of transactions, the plurality of transactions forming at least part of a distributed memory pool of transactions waiting to be mined into a block of a blockchain. The computer-implemented method further comprises receiving a delete request from a validation node of the blockchain network, the delete request identifying one or more transactions which have been included in a newly mined block, the delete request indicating that the one or more transactions should be deleted from the distributed memory pool.

The described technology pertains to a distributed computing environment, specifically implementing a streaming protocol on a scalable object storage service. The technical problem addressed is the high computing resource demand of distributed streaming platforms. The solution involves separating content from location metadata, allowing centralized, scalable storage of metadata. Brokers store content in object storage services based on specific metrics, such as fast read / write times or greater storage capacity. A background platform remaps metadata sequences based on logical timestamps, optimizing data retrieval. This system enhances the efficiency of computing resources by reducing the load on brokers and improving data access speeds. A use can be in cloud computing systems for efficient content streaming and storage management.

A computer-implemented method for determining a message in a message queue of an information technology system. The method may include receiving an information technology event data object in an object-relational database management system, the information technology event data object including metadata; determining a change to the object-relational database has occurred by implementing a change data capture platform; determining, using the change data capture platform, a log file of the change to the first table, the log file including the metadata from the information technology event data object; deploying the log file to a message queue; and processing, through a consumer module, the log file of the message queue to perform an action.

The invention provides a memory-based man-machine interaction method, electronic equipment, a medium and a program product, and relates to the technical field of artificial intelligence. Based on an interaction scene corresponding to the multi-modal interaction input information, performing long and short term memory hierarchical storage processing, memory mixed retrieval processing and / or memory active forgetting processing on the multi-modal interaction input information to obtain processed target memory data; and generating a multi-modal interaction output result based on the target memory data. By adopting the method and the device, memory-based dynamic response can be realized in human-computer interaction based on a scenarized layered humanoid memory architecture.

The invention provides a database index implementation method based on object storage, which is used for solving the problem of efficient retrieval when object storage is used as a database storage engine. According to the method, a special index storage structure is constructed in object storage and comprises an index metadata area and an index data area, and index data is organized through a segmentation management mechanism. Each segment in the index data area comprises a Bloom filter file, an index entry file and a segment abstract file, and efficient organization and access of index data are achieved. According to the method, a batch writing and parallel retrieval strategy is adopted, and a segment merging and garbage collection mechanism is matched, so that the index performance and the storage efficiency are ensured. The method has the beneficial effects that the query performance when the object storage is used as the database is remarkably improved, the storage overhead is reduced, meanwhile, the data consistency is ensured, and a key technical support is provided for realizing a database system based on the object storage.

Techniques related to searches of highly structured data are described. A body of data may be represented by an object-centric data model. For a search of the body of data, an indication of a particular search template to use may be received. The particular search template may specify one or more hierarchical object types that are within a scope of the search. The one or more hierarchical object types may be defined in the object-centric data model. The particular search template may specify at least one search field. A user interface may be generated based on the particular search template. The user interface may include the at least one search field.

A system for managing versioning of ontology data represented in multiple forms respectively in multiple databases and related methods are disclosed. The system is programmed to determine which changes to the ontology are to be incorporated into a new version of specific ontology data. In response to a write request to write a latest version of specific ontology data, the system is programmed to start representing the latest version in the multiple databases according to a first predetermined strategy. In response to a read request to read a latest version, the system is programmed to return a particular version from at least one of the multiple databases according to a second predetermined strategy.

The invention particularly relates to a method for realizing object storage fuzzy retrieval based on a large model. According to the method for realizing the fuzzy retrieval of the object storage based on the large model, each object in the object storage is summarized through the large model to form an object summarizing result; the object summary result is converted into a feature vector through an embedded vector technology, and the object name, the object summary result and the feature vector are cached; the query statement is converted into a feature vector, neighbor indexing is carried out in a vector database, if the difference between a neighbor indexing result and the feature vector is smaller than a self-defined threshold value, it is considered that the search is hit, and a corresponding object name and an object summary result are returned. According to the method for realizing fuzzy retrieval of object storage based on the large model, the storage and maintenance cost is reduced, the application scene of object storage is expanded, the usability of the system and the user experience are improved, the universality is high, and the method can be suitable for all object storage systems.

The present disclosure provides a data processing method and related apparatus, the method includes: obtaining object information of a data object, where the object information comprises a basic attribute of the data object; and storing the object information in a data structure, where the data structure includes a first node, and the basic attribute of the data object is stored in the first node, where the first node is connectable to at least one second node, where each of the at least one second node is used for storing an additional attribute of the data object.

The invention discloses a database object manager and a management method, the manager realizes operation on a database object through interface design, and the manager comprises a database object creating module for creating and modifying the database object, the database object comprises one or more of a library, a mode, a table, an index, a partition, a constraint, a view, a sequence value, a storage process, a function, a packet, a user and a role; the database object management module is used for checking and modifying a database object, operating data, editing SQL (Structured Query Language), checking a table structure, and importing and exporting the table structure and table data; and the database object maintenance module is used for realizing table statistical analysis, index reconstruction, view compilation and modification, trigger compilation and modification, storage process and function compilation of database objects. Through the interface operation, the user can better use the database.

A device, system and method for distributing and locally persisting provider objects is provided. A first device provides, in a provider object stream, first indications of first provider objects, generated and locally persisted in association with a first region, to a second device associated with a second region. The first device receives, in the stream, from the second device, second indications of second provider objects generated locally persisted in association with the second region, the second indications including respective identifiers identifying the second region. The first device: discards given second provider objects, indicated by the second indications, which do not meet a local persistence condition; and locally persists other second provider objects, as indicated by the second indications, which meet the local persistence condition, the other second provider objects locally persisted in association with the first region.

A method for operating a graph database includes receiving, by a computer system, a query for a particular graph database, the query identifying a plurality of vertices in the particular graph database. The method further includes performing, by the computer system, a hash operation on two or more vertices of the plurality of vertices to generate respective hash values, and partitioning the query into a plurality of sub-queries using the respective hash values, each sub-query corresponding to a subset of the plurality of vertices. The method also includes sending, by the computer system, a sub-query of the plurality of sub-queries to a plurality of database repositories of the particular graph database.

A system architecture for linking one or more derived objects to existing data objects in a data structure can be organized in a variety of forms. A method for establishing the architecture may include linking first and second data objects. linking first and second data objects. The first and second data objects may be associated with corresponding first and second pluralities of properties. The method may include receiving a first user limitation associated with at least one of the first or second pluralities of properties and receiving a second user limitation associated with at least one of the first or second pluralities of properties. The method can include deriving a conclusion object comprising a third plurality of properties comprising a subset of one or more of the first or second pluralities of properties and linking the conclusion object to the first and second data objects.

A solution for transforming and managing data in a data lake environment is disclosed. A definition of a transformation stream is received via a graphical user interface. The transform stream specifies an operation to transform source data into target data stored in the first format object store. And generating a virtual process corresponding to the transformation stream and storing the virtual process in a memory cloud database. A virtual process is then executed such that metadata is retrieved from the first format object store and a transform job is triggered on the compute cluster. The transform job reads the source data from the first format object store, applies one or more transforms specified in the definition of the transform stream, and writes the result to the target data in the first format object store.

In an example embodiment, a data warehousing environment, or a similar architecture, is extended to permit data storage in either an in-memory database or a Lakehouse architecture, which leverages one or more hyperscalers for the underlying storage. More specifically, a single artifact is defined in Datasphere that stores data in either the in-memory database or the Lakehouse architecture, and does so in a storage-agnostic manner.

A solution for transforming and managing data in a data lake environment is disclosed. A definition of a transformation flow is received via a graphical user interface. The transformation flow specifies operations to transform source data into target data stored in a first format object storage. A virtual procedure corresponding to the transformation flow is generated and stored in an in-memory cloud database. Then the virtual procedure is executed, causing retrieval of metadata from the first format object storage and triggering a transformation job on a computing cluster. The transformation job reads the source data from the first format object storage, applies one or more transformations specified in the definition of the transformation flow, and writes results to target data in the first format object storage.

A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: generating a tag for an object within a data center asset, the tag for the object associating a contextual meaning with the object; registering the tag when the tag is generated; storing the tag within a tag storage repository when the tag is registered; and, managing an aspect of the tag via a data tag management operation.

The invention relates to the technical field of artificial intelligence, discloses a business risk prediction method and device for setting and adjusting a risk threshold value based on a profit and loss balance point, equipment, a medium and a product, and aims to solve the problems that the balance of cost and profit is not considered, dynamic adjustment capability is lacked, the risk threshold value cannot be dynamically adjusted, and the risk threshold value cannot be dynamically adjusted in the prior art. And the accuracy and flexibility of credit risk control are poor. The method comprises the following steps: constructing an initial prediction model, and collecting and training the initial prediction model based on historical business data to obtain a business risk prediction model; calculating a profit and loss balance point of the business based on the historical business data, and setting an adjustment risk threshold based on the profit and loss balance point; and obtaining a to-be-predicted target service, calling the service risk prediction model to perform service information prediction on the target service, obtaining a service information prediction value, comparing the service information prediction value with the set and adjusted risk threshold, and determining a final service risk result. According to the method, the accuracy and flexibility of the business risk prediction method are improved.

Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and / or the like that are configured to enable effective and efficient browser event synchronization management in a federated system. For example, certain embodiments of the present invention provide methods, apparatuses, systems, computing devices, and / or the like that are configured to manage browser event synchronization using techniques that utilize object-oriented event management database stored at client computing device and asynchronous browser event processing.

The invention discloses a plant growth key element multi-modal database creation method, a growth state prediction method and a monitoring system, and relates to the technical field of agricultural information. The method comprises the following steps: collecting multi-modal data in a plant growth process, and preprocessing the multi-modal data; a deep learning model is adopted to extract preprocessed data features, and then time alignment is carried out on all data; determining a database table structure according to a multi-modal data acquisition requirement; the database table structure comprises a feature storage field, an index field and a hyperlink identifier, and the hyperlink identifier is used for establishing a hyperlink relationship between each piece of data and modal data except a modal to which each piece of data belongs; and according to the database table structure, establishing a storage container for each modal data, storing the data, and obtaining the multi-modal database of the plant growth key elements. The multi-dimensional features of the plant growth key elements can be effectively extracted and analyzed, multi-modal data are fused, and efficient storage and management of large-scale plant growth data are achieved.

A computer-implemented method comprises applying at least one processing action to at least one source data object, and responsive to applying the at least one processing action, generating one or more derived objects from the at least one source data object. For each derived object, the method comprises storing the derived object in a first data store, determining association information for the derived object and the at least one source data object from which the derived object is generated, and writing the association information in a second data store to associate the derived object with the at least one source data object, such that an origin of the derived object can be determined. Responsive to modifying the at least one source object, the method further comprises creating at least one modified object, and for each derived object of the at least one source object: writing new association information between the derived object and the at least one modified object, and removing previous association information between the derived object and the at least one source data object, or generating a new derived object from the at least one modified object and writing new association information to associate the new derived object with the at least one modified object.

The invention aims to provide a multi-modal large model training method, and a nuclear power plant field digital work supervision and guidance system and method. The training method comprises the following steps: acquiring information in a pre-training database; information in the pre-training database comprises a personnel information base, an equipment information base, a regulation information base containing regulation activity information and regulation content, and a standard activity base containing standard operation activity information; inputting the information in the pre-training database into the multi-modal large model for initialization training, so as to obtain a first multi-modal large model with the capability of identifying the activity and the equipment state of the standard operating personnel. According to the invention, the appropriate training database is established for training the multi-modal large model according to the uniqueness of the field work of the nuclear power plant, and the multi-modal large model is utilized to realize the field digital work supervision and guidance of the nuclear power plant, so that the technical problem that the real-time supervision and guidance function of the activity of the field operation personnel of the nuclear power plant cannot be realized in the prior art is solved.

This technology relates to intelligently generate a search result. A method, computing device, and non-transitory computer readable medium include identifying a plurality of factors relating to a dominant feature of a stored object, and retrieving data associated with the stored object from a storage. For each of the plurality of factors, quantifying a significance of influence the factor on the dominant feature of the stored object, and determining whether the factor is a target factor influencing the dominant feature of the stored object. A generative artificial intelligence processing model is trained with the target factors and associated significances. In response to receiving a search input regarding the stored object, executing the trained generative artificial intelligence processing model to generate and then display a search result.