366 results about "Database model" patented technology

The current disclosure uses the disciplines of Ontology and Epistemology to implement a context / content-based “multimedia conceptual search and planning”, in which the formation of conceptualization is supported by embedding multimedia sensation and perception into a hybrid database. The disclosed system comprises: 1) A hybrid database model to host concept setup. 2) A graphic user interface to let user freely issue searching request in text and graphic mode. 3) A parsing engine conducting the best match between user query and dictionaries, analyzing queried images, detecting and presenting shape and chroma, extracting features / texture of an object. (4) A translation engine built for search engine and inference engine in text and graphic mode. 5) A search engine using partitioned, parallel, hashed indexes from web crawler result, conducting search in formal / natural language in text and graphic mode. 6) A logic interference engine working in text and graphic mode, and 7) A learning / feedback interface.

An indexing system and linking method for an assembly of electronic-based informational items stored in and ordered by a plurality of records uniquely identified over a plurality of relational data tables making up a data set wherein each table is assigned a unique domain of unique alphanumeric indicia for assignment and storage in the records. The records are ordered by the alphanumeric indicia whereby each data table acts as its own primary key. The records are bi-directionally linked to each other via a plurality of separate, central linking table indexes wherein each index record is structured with a plurality of linking fields defined to store sets of two or more alphanumeric indicia belonging to a plurality of records in the data set. Each record is further structured to include an internal set of unique indicum for each data field whereby the combination of the unique record indicum and the unique field indicum uniquely identify each record-field over the plurality of relational data tables making up the data set such that each record field may be linked to a plurality of other record-fields or records via the plurality of separate, central linking table indexes. Each central linking table indexes is further generalized to provide multiple arrays of linking indicia in a plurality of indexing fields such that a plurality of the records from a plurality of the data tables may be linked together as a data cluster. The linking values stored in the central linking table indexes may be predefined to automatically structure and link a plurality of unspecified data and changes in the data may alter the linking structure to provide further capabilities.

A framework for automatically provisioning computing devices includes a central database system and a central file system. Information stored in the database comprises a model of the individual devices, as well as the interconnections of the devices. The central file system stores the software components to be installed on the devices. When provisioning is carried out, the database sends commands to agents located on each device which cause them to retrieve and install the software components from the file system, and to configure the components according to the stored model.

A system and method for implementing a graph database to analyze and monitor a status of an enterprise computer network is provided. In one example, a plurality of sensors can be inputted into sensor interface in which all of the data associated with the sensors in converted into a common data format. The data can be parsed into a data model that contains nodes and edges in order to generate a graph database model that can allow a network analyst to analyze the real-time status of a computer network. The graph database model can include multiple layers including an infrastructure layer, a cyber threats layer, a cyber posture layer, and a mission readiness layer. The graph database model can also be queried by a user using a domain-specific query language, so as to provide a user-friendly syntax in generating queries.

Methods and apparatus for generating a report from hierarchically formatted data are disclosed. First, a data source including one or more files having a hierarchical file format is identified, where each of the files includes one or more data elements. A relational database model is obtained, where the relational database model includes one or more virtual tables, each of the virtual tables including one or more virtual columns. The relational database model is then mapped to the hierarchical file format. A query may be obtained using the virtual relational database. Data is then obtained from the virtual relational database corresponding to the query, thereby enabling a report including the data to be generated.

A system and a method for creating an analytical report on top of a multidimensional data model built on top of a relational or multidimensional database. The database operates in a computer system and provides returned values responsive to queries. Such a query is generated automatically and is deduced from a report definition. According to one embodiment, a report specification is used by the system and method of the present invention is able to defer the initial query of the data source, as is the case with conventional reporting tools and methods, until after the report has been defined. That is, the manner in which a analytic report is defined provides for an automatically generated query. Once the report has been defined, the data to populate such a report is retrieved to build the document.

The invention discloses a domain knowledge map construction method and system based on big data driving, and the method comprises the following steps: crawling a data source in a network, and obtaining first data information; Performing data information extraction on the data source to extract association information between the entities; carrying out Knowledge fusion on the association information between the entities, and establishing a relational database; And converting the relational database into a graph database model to construct a knowledge graph. The method can provide strict and rich data modes, assists various complex analysis applications or decision supports, is high in accuracy, has a guidance value in the actual construction process of the knowledge graph, and has industrial significance.

Object persistence is facilitated by introducing persistent agents to act as bridges between the programming model and the database model. Persistent agents are instantiated on a per-class basis and are responsible for mapping their class to a suitable database related. Methods are defined for the persistent agent to specify database-specific properties and optimization hints.

A method and system for providing an open database model that allows the combining of spatial and Attribute data in a single relational database. The integration of spatial and Attribute data allows the data to be accessed by either standard structured query language (SQL) or a GIS viewing application. The invention provides: enhanced performance by avoiding proliferation of segmentation; open dynamic segmentation; integrated temporal data; and automated database maintenance. Permanent anchor sections are provided to define spatial references. The data model allows for intersections in the interior of a link (anchor section), resulting in a more stable form of a link, or anchor section. The use of anchor sections simplifies maintenance of data associated with the anchor sections and facilitates the use of anchor sections in a distributed environment. Database views display data in a simple, tabular format. Access to a continuous archive of historical data is supported.

A distributed speech recognition system and method thereof in accordance with the present invention enables a word and a natural language to be recognized using detection of a pause period in a speech period in an inputted speech signal, and various groups of recognition vocabulary (for example, a home speech recognition vocabulary, a telematics vocabulary for a vehicle, a vocabulary for call center, and so forth) to be processed in the same speech recognition system by determining the recognition vocabulary required by a corresponding terminal using an identifier of the terminal since various terminals require various speech recognition targets. In addition, various types of channel distortion occurring due to the type of terminal and the recognition environment are minimized by adapting them to a speech database model using a channel estimation method so that the speech recognition performance is enhanced.

A method for converting a non-object oriented language to an object oriented language is shown. First, an existing object oriented language must be selected. Next, a non-object oriented language is selected. This is the language the programmer desires to be converted to an object oriented language. The requirements for the new object oriented language are then defined. Next, the specific syntax and grammar are selected. Then the object oriented extensions are developed. The object oriented extensions allow for the existing language and data structure to be developed coextensive in the object oriented environment. Next, the new object oriented language is prepared based upon the criteria outline previously. The Object Oriented ADN including an application logic function, data types and scopes, a class for message instancing, client workload models, server process infrastructure, database models, operating system models, statistics capability, utility classes, and garbage collection.

Managing data mining activities in a data mining environment, including selecting a model scoring results table, wherein the selecting is carried out in dependence upon metadata included in a model scoring results control table, the model scoring results control table being related to a data set control table including data set metadata; reading a scoring output data record from the selected model scoring results table; storing the scoring output data record in a managed representation table for scoring results; selecting a model training results file, wherein the selecting is carried out in dependence upon metadata included in a mining model control table; reading training results data from the selected model training results file; and storing the training results data in a model training results table, the model training results table comprising a relational representation of the training results data from the selected model training results file.

The invention discloses a cluster database system. The cluster database system comprises a query analyzer and a plurality of database nodes. The query analyzer is used for analyzing a received query request, resolving the received query request into a query task stream and generating an execution rule; and meanwhile, the query analyzer is used for distributing one or more than one query task in the query task stream for corresponding database nodes according to the execution rule. The database nodes are used for executing corresponding query tasks together with other relevant database nodes according to the execution rule after the distributed query tasks are received; and besides, the database nodes are used for combining query data obtained through execution of a certain task and query data obtained through execution of the same query task by the other relevant database nodes so as to obtain query result data, and the data is the final query result data corresponding to the query request or the data is used as input data for the next query task and therefore the plurality of database nodes can carry out the query task stream according to the execution rule to obtain the final query result data conveniently.

A system and method for detecting fraudulent identification tags, such as Universal Product Codes (UPC) applied to goods to be purchased is disclosed. Images of the goods to be purchased and corresponding feature models are stored in a database. When a customer desires to purchase an item containing a UPC, a scanned image of the item about to be purchased may be acquired and a feature model of the scanned image may be created. The system may retrieve from the database the image and feature model previously stored for the item associated with the just-scanned UPC. A variety of image processing techniques may be used to compare the scanned and database images and / or the scanned and database feature models. In one embodiment, these image processing techniques may include determining a geometric transformation that maps the features of the scanned image onto the features of a database model.

Embodiments of the invention provide database integration within an integrated development environment (IDE) tool for displaying database structure and other database information, query editing and execution, and error detection for database statements embedded in program source code. Embodiments of the invention integrate database connectivity and error detection into the IDE tool, thereby potentially reducing the time required for database-aware application development.

The invention discloses a drawing-model uniformity based method for automatic check of design drawings, which includes: subjecting all resource objects described in SCD (substation configuration description) and CID (configured IDE description) files, such as intelligent devices, interfaces, virtual loops, physical loops and the like, to database modeling through an RDF (resource description framework); establishing relations, such as physical and logic relations and the like, of intelligent devices in a data model of the RDF to the former intelligent devices by means of drawing AutoCAD graphs; comparing graphic information with model information to ensure result identity in drawing output and SCD / CID model output and guarantee uniformity between the drawings in the design output result and the SCD model, and checking the visual drawings to guarantee accuracy of important output results, namely SCD and CID files.

The invention provides a method and a device for creating a database table model. A demand analysis stage and a model design stage before a target database is created can be substantially shortened, a standard database table model can be quickly established, data loading efficiency is improved, and data warehouse construction is quickened. The method for creating the database table model comprises the following steps: storing source table information which is required for creating a target table and is obtained from a dictionary table of a source database; converting a source table field name and a source table field type to obtain a target table field name and a target table field type which can be identified by the target database; obtaining a corresponding target table name from source table identification information, and obtaining a table establishing code of the target table according to the target table name, the target name field name, the target table field type, a source table field description and a source table description; and executing the table establishing code to generate an integral target table model.

A reusable, data-driven universal database model and system for modeling and storing data in all relationships in a form that supports any data to be added to the database. The database system can be implemented to any type of application storing any type of data or data drives in that relationship. The system includes a plurality of nodes having a many-to-many relationship by virtue of being connected with each and every node, and itself. Preferably, the database system is an unchanging format, enabling it to be used in software or embedded in a hardware form.

Managing data mining activities in a data mining environment, including selecting a model scoring results table, wherein the selecting is carried out in dependence upon metadata included in a model scoring results control table, the model scoring results control table being related to a data set control table including data set metadata; reading a scoring output data record from the selected model scoring results table; storing the scoring output data record in a managed representation table for scoring results; selecting a model training results file, wherein the selecting is carried out in dependence upon metadata included in a mining model control table; reading training results data from the selected model training results file; and storing the training results data in a model training results table, the model training results table comprising a relational representation of the training results data from the selected model training results file.

A database encryption system and method, the Structure Preserving Database Encryption (SPDE), is presented. In the SPDE method, each database cell is encrypted with its unique position. The SPDE method permits to convert a conventional database index into a secure one, so that the time complexity of all queries is maintained. No one with access to the encrypted database can learn anything about its content without the encryption key. Also a secure index for an encrypted database is provided. Furthermore, secure database indexing system and method are described, providing protection against information leakage and unauthorized modifications by using encryption, dummy values and pooling, and supporting discretionary access control in a multi-user environment.

A technique is described for retrieving data from a hash table in an Ethernet bridge. The table has a plurality of columns, each of which has a hash function, thereby creating respective different hash key values.

The invention provides a lithium ion battery system SOC estimation method. By adding battery single-body life data and different temperature and different multiplying power of charge and discharge data, a battery single-body database model is established; and the method can independently estimate any single-string SOC value of the system and has the strategy of charge and discharge terminal multi-condition joint participation of SOC correction to achieve an effect of accurately estimating the SOC value of the battery system. The method can independently estimate any single-string SOC value of the battery system; through the battery single-body database model, system SOC estimation precision is greatly improved; and through charge and discharge terminal multi-condition joint participation of SOC value correction, the cases of terminal error correction or incorrect correction are reduced effectively.

The invention discloses an organization and management method for space-time map tile data. The method includes the steps that parameter information of an original image is set or read, wherein the parameter information includes the tile hierarchy, start row number, start column number, terminal row number, terminal line number, shooting time, spatial range, proportional scale, map output format, tangent graph start and terminal point coordinates and version information in a pyramid model; each layer of image in the pyramid model is corrected; a database model is established with the tile hierarchy, shooting time and spatial range as the index; the parameter information of all the layers of tiles is correspondingly stored, and a time node mirror image version is established. According to the method, the map cutting scheme and data structure of an existing map cutting tool are expanded and optimized, the process of space-time electronic map production and incremental updating is constructed, the working efficiency of tile production, updating and issuing is improved, the server resource consumption and cost are effectively reduced, the requirement of redundant data for a large disk space is lowered, and the method is compatible with an international standard format and a mainstream tile generation tool.

A system and a method for creating an analytical report on top of a multidimensional data model built on top of a relational or multidimensional database. The database operates in a computer system and provides returned values responsive to queries. Such a query is generated automatically and is deduced from a report definition. According to one embodiment, a report specification is used by the system and method of the present invention is able to defer the initial query of the data source, as is the case with conventional reporting tools and methods, until after the report has been defined. That is, the manner in which a analytic report is defined provides for an automatically generated query. Once the report has been defined, the data to populate such a report is retrieved to build the document.

The invention discloses a vision object detection and analysis method of an intelligent network and a device thereof. The method comprises the following steps: a standard television signal is obtained from a fixed camera, compiled to MPEG-4 format and then sent to a digital signal image processing and analysis unit; a three-dimensional modeling is carried out in the digital signal image processing and analysis unit through a reference object in a detected area; when a moving object appears in a monitored area, the moving object is separated from background frames and compared with entries of a database model which is embedded in a storage unit and is called out, such as the size of the moving object, moving track characteristics and shapes of the moving object, which are output from; when large parts of the entries are identical, the moving object is identified as a dangerous object and the alarm is sent immediately; simultaneously, the digital signal image processing and analysis unit outputs a video recording instruction to a monitoring device. The method can solve and automatically detect the technical problems whether the video frame in a monitoring system has the dangerous object and the alarm signal is sent or not.

The invention provides a product tracing method and system based on a block chain, and storage medium. The method comprises the following steps: distributing and deploying traceability application andtraceability data on each node of a block chain, and formulating an uplink standard of the traceability information, wherein the uplink standard comprises a database model established according to atraceability requirement and a traceability information processing rule; Receiving traceability information; Depending on chaining criteria, writing the traceability information into the nodes of thecorresponding block chains; integrating the source tracing data of the source tracing information written into the nodes of the block chain, forming a complete source tracing chain according to the integration of raw material purchasing, product production, product logistics transportation, product sales and product payment, generating a source tracing code of the product, and performing source tracing query on the product by utilizing the source tracing code on the transaction label. A real and credible product traceability chain is established by utilizing the characteristic that the block chain cannot be tampered, so that the authenticity problem of the data is effectively solved, and a user can feel that the data of each link is credible.

The invention provides a platform-based intelligent MES (Manufacturing Execution System). The system includes a business domain model base and an integrated collaborative manufacturing subsystem. The business domain model base is used for storing a business model, a domain model and a database model. The business model includes the corresponding requirements and associations of personnel, technology, materials, equipment, tooling and test. The domain model includes the work dependence and decomposition relations, the association between work and material and production units, and a field problem component. The database model stores relevant data and data associations in the business model and in the domain model. The integrated collaborative manufacturing subsystem makes an operation plan based on the data and data association in the business domain model base, and manages and schedules the whole operation process. Through a business domain model, all kinds of basic models can be specified, and the association relation can be established. The integrated collaborative manufacturing subsystem executes production planning and management scheduling.

A method and apparatus loads data to an in-memory database across multiple nodes in a parallel computing system. A database loader uses SQL flags, historical information gained from monitoring prior query execution times and patterns, and node and network configuration to determine how to effectively cluster data attributes across multiple nodes. The database loader may also allow a system administrator to force placement of database structures in particular nodes.

A database includes data tables and indexes that are partitioned. Searches against the data table are performed in parallel over the multiple partitions. The indexes on each partition maintain indexes associated with the data on the given partition. Data tables storing string data include a string data file and index files for each word stored in the string data file.

Rapid development of a collaborative database uses a spreadsheet application to implement the database. Each parameter of the database variables is entered into a corresponding cell in the spreadsheet. A first spreadsheet code is entered that refers to selected cells related to a first variable and resolves into database code that instructs a database application to create the first variable in the collaborative database. A second spreadsheet code is also entered also referring to selected cells related to the first variable and resolves into application server (AS) code that instructs an application server to generate a graphical data entry form for that variable. In order to develop the same database and AS code for the remaining variables, the developer uses the autofill function of the spreadsheet to autofill the spreadsheet codes to cells related to the other variables and resolving into their own database and AS codes.