41 results about "Central repository" patented technology

A method for managing and monetizing performance data for a plurality of users is disclosed. The method involves receiving a first data set related to user performance and / or behavioral information and establishing a first communication link for secure data transfer. The received first data sets, along with additional data from various sources, are stored in a central repository. The method ensures data integrity by verifying and validating its origin and authenticity. Advanced analytics are applied to extract actionable insights, trends, and structured information, enriched with metadata such as events, locations, timestamps, and user identities. A dynamic ontology is created to contextualize and categorize the structured data. When third parties request access, the method employs smart contracts to validate requests, securely transfer data, and compensate users. This approach ensures transparency, control, and equitable monetization of user-generated performance data.

Systems and methods for intelligent data sanitization employing PCM and AI / ML are provided. The idea uses AI / ML to detect specific facts that needs sanitization rather than full properties in incoming records. Data sanitization is optimized using this focused method, saving computational resources. To properly manage changing data volumes, PCM shifts between Logical 0 and Logical 1 states. Logical 0 processes smaller volumes with high resistance and low conductivity, while Logical 1 processes large volumes with low resistance and high conductivity. The AI / ML module organizes and directs data to maximize resource and processing efficiency. The PCM processes data in-memory and directly overwrites, eliminating erasure. AI / ML and PCM integrate to sanitize data quickly, efficiently, and securely, improving system performance and data integrity without a central repository. The system dynamically adjusts to changing data patterns, protecting and optimizing data.

In a computer-implemented method for configuring a distributed computer system comprising a plurality of nodes of a plurality of node classes, configuration files for a plurality of nodes of each of the plurality of node classes are stored in a central repository. The configuration files include information representing a desired system state of the distributed computer system, and the distributed computer system operates to keep an actual system state of the distributed computer system consistent with the desired system state. The plurality of node classes includes forwarder nodes for receiving data from an input source, indexer nodes for indexing the data, and search head nodes for searching the data. Responsive to receiving changes to the configuration files, the changes are propagated to nodes of the plurality of nodes impacted by the changes based on a node class of the nodes impacted by the changes.

Systems and methods are provide for automatically constructing data lineage representations for distributed data processing pipelines. These data lineage representations (which are constructed and stored in a central repository shared by the multiple data processing sites) can be used to among other things, clone the distributed data processing pipeline for quality assurance or debugging purposes. Examples of the presently disclosed technology are able to construct data lineage representations for distributed data processing pipelines by (1) generating a hash content value for universally identifying each data artifact of the distributed data processing pipeline across the multiple processing stages / processing sites of the distributed data processing pipeline; and (2) creating an data processing pipeline abstraction hierarchy for associating each data artifact to input and output events for given executions of given data processing stages (performed by the multiple data processing sites).

Methods and systems disclosed herein describe generating products using data objects and / or entities that comply with a canonical / governed model(s). The data objects and / or entities may be obtained from an enterprise model or a combination of an enterprise model and one or more local models within a central repository to generate the new product data structures. Once all the data objects and / or entities have been added to the new product, one or more simplification rules may be applied to the new product to flatten (optimize for consumption) the data structure of the product such that superfluous or extraneous code snippets may be removed, or reduced, in such a way that the product complies with the canonical model. The new product may then be exported to an executable data format, which can either be incorporated in another application or used as a standalone product.

A bond-log interpretation system, apparatus, and computer-implemented method are disclosed. The system ingests a cement-bond log (CBL) containing variable-density log (VDL) data and at least one secondary data track (SDT). A processing core, coupled to toggleable lithology, casing-tally, cementing-data, and prior-CBL libraries, first executes a VDL-only assessment at each depth to flag possible discontinuities. For every flagged depth, the core correlates the concurrent SDT data with selected library information to confirm or clear the discontinuity, delineate imperfect intervals, and identify probable causes. Results are synthesized into an annotated integrity report that includes audit-trail metadata listing which libraries were enabled. In a multi-well deployment, multiple field units synchronize their libraries with a central repository over a secure network, allowing real-time, parallel analysis and fleet-wide visualization. The modular architecture permits on-the-fly enabling, disabling, and versioning of libraries while maintaining a single interpretation engine adaptable to diverse tools and formations.

A system for disputes comprising one or communicatively coupled servers currently running or available to run one or more computer processors that store and process dispute information in a central repository; one or more users instances hosted by a server, wherein each of the one or more user instances has a unique identifier and associated one or more characteristic values including a set of trait data and a set of history data; the unique identifier and one or more of the characteristic values associated with the user instances are stored in one or more memory devices each having at least one database communicatively coupled to the servers and processors; a communicatively linked processor can adjust the characteristic values associated with each of the user instances to reflect changes in the characteristic values; and based on the characteristic values, the processors can automatically combine users into one or more dispute instances where a user identified by a unique identifier can participate in or view a dispute.

Method for uploading data destined for a central repository, wherein the data is uploaded to an intermediary upload device before being uploaded to the central repository, the method comprising the following step: - Determining mobile / intermediary uploading devices on site; the procedure being characterized by the following steps: - Determining the probability that the mobile / intermediary upload devices will return to a connected upload point; - Identifying those mobile / intermediary upload devices with a higher probability of returning to the connected upload point; and - Uploading the data to those mobile / intermediary upload devices with the higher probability of returning to the connected upload point.

Systems and methods for intelligent data sanitization employing PCM and AI / ML are provided. The idea uses AI / ML to detect specific facts that needs sanitization rather than full properties in incoming records. Data sanitization is optimized using this focused method, saving computational resources. To properly manage changing data volumes, PCM shifts between Logical 0 and Logical 1 states. Logical 0 processes smaller volumes with high resistance and low conductivity, while Logical 1 processes large volumes with low resistance and high conductivity. The AI / ML module organizes and directs data to maximize resource and processing efficiency. The PCM processes data in-memory and directly overwrites, eliminating erasure. AI / ML and PCM integrate to sanitize data quickly, efficiently, and securely, improving system performance and data integrity without a central repository. The system dynamically adjusts to changing data patterns, protecting and optimizing data.

An evolved multimedia broadcast multicast services (eMBMS) core may map sensor data or telemetry data from a central repository server (e.g., tag it with an area code from where the data is being generated) to a service area. The eMBMS core may inform the radio access network to create a service area for the specific area code, which may be part of or an entire city, county, or the like. Then the radio access network may broadcast the data to the vehicles or devices in the specific area code.

Embodiments of the present disclosure include techniques for decentralizing feature toggles. In certain embodiments, feature toggles are generated for features across a plurality of software systems. The feature toggles include annotations specifying dependencies across the plurality of software systems. The annotated feature toggles are stored in a central repository accessible by the plurality of software systems. When a feature toggle is enabled, feature toggles across the systems may be retrieved from the repository and analyzed by an LLM to determine which feature toggles may need to be updated to prevent a software error.

A system (1100) and method (1200) for generating vehicle data and surrounding contextual data into a standardized form by combining disparate, non-standardized onboard vehicle data into a central repository which is updated in real-time, that normalizes that data from non-standard to pre-defined formats, and then makes the pre-defined data available for consumption to authorized applications and users in raw form, or as outputs to a data product comprising data from multiple onboard signal generating sources through APIs. The system (1100) comprises an assigning authority engine (1105), a mobile device (110) for a vehicle (1000), a connected vehicle device (135) comprising on-vehicle data for the vehicle (1000), and an off vehicle source selected from a database (1125), a cloud source (1180), or a physical structure (1140).

A system for managing vehicle data and facilitating user communication across a vehicle supply chain includes an enterprise system comprised of a server, software, and a central repository. The enterprise system also includes a plurality of user channels including a user channel for each of an original equipment manufacturer (OEM), a supplier, and a consumer. A multi-protocol communication hub provides or communicates with a standardized data interface for the plurality of user channels to access the enterprise system. The standardized data interface includes or communicates with a searchable interface to the central repository. The central repository includes vehicle data for a plurality of vehicles of the vehicle supply chain, where each of the plurality of vehicles is assigned a unique vehicle identifier in the central repository. The multi-protocol communication hub facilitates user communication among users of the user channels.

A mobility management node and a subscription database of a telecommunications network are described herein. The mobility management node and subscription database receive a master subscription profile from a central repository. The master subscription profile includes data that is shared across subscribers. When registering a user equipment (UE) with the telecommunications network, the mobility management node can signal support for an alias for the master subscription profile to the subscription database. The alias is a representation of the master subscription profile that is smaller than the master subscription profile. The subscription database receives the signal of support for the alias and provides it to the mobility management node in place of the master subscription profile. In response to another message from a mobility management node that does not indicate support for an alias, the subscription database provides the master subscription profile.

A system (108) and a method (500) for managing one or more configuration updates in a network are disclosed. The system (108) employs a retrieving module (212) to retrieve real-time configuration change parameters from at least one of a plurality of Element Management Systems (EMSs) at a predefined time interval. A processing module (216) stores the real-time configuration change parameters in a transient repository. The processing module (216) then processes the real-time configuration change parameters stored in the transient repository to create a single update event. Thereafter, an updating module (218) updates a central repository with the created single update event to reflect one or more real-time configuration updates in at least one network node of the at least one EMS within the central repository. The system (108) maintains a single repository (e.g., the central repository) for the entire network, enabling efficient access and update of the configuration changes without the need to log into each EMS individually.

In an example embodiment, rate limiting is performed at the instance level (i.e., locally), but utilizing throughput statistics of other instances. These statistics may be measured locally by each instance and then transmitted to a central store, where they are aggregated. Each instance is then able to asynchronously request the aggregated statistics from the central store and use this information to manage the parameters of its own local rate limiter.

Methods and systems disclosed herein describe generating products using data objects and / or entities that comply with a canonical / governed model(s). The data objects and / or entities may be obtained from an enterprise model or a combination of an enterprise model and one or more local models within a central repository to generate the new product data structures. Once all the data objects and / or entities have been added to the new product, one or more simplification rules may be applied to the new product to flatten (optimize for consumption) the data structure of the product such that superfluous or extraneous code snippets may be removed, or reduced, in such a way that the product complies with the canonical model. The new product may then be exported to an executable data format, which can either be incorporated in another application or used as a standalone product.

The present disclosure generally relates to the secure exchange of data. In some implementations, an example method involves receiving data from a number of independent data sources. The method also includes storing the data in a central repository where at least a first portion of the data is homomorphically encrypted, receiving a data request from a data requester, and analyzing the stored data without decrypting the homomorphically encrypted data to determine an aggregated subset of data relevant to the data request. The aggregated subset of data may include at least some of the homomorphically encrypted data. The method also includes providing data request results that include or are derived from the aggregated subset of data to the data requester.

A computer-implemented method, according to one embodiment, includes using a first symmetric key to encrypt a first private key of a first asymmetric key pair, and storing the encrypted first private key on a predetermined near-field communication (NFC) tag. The method further includes storing a first public key of the first asymmetric key pair and the first symmetric key on a predetermined central repository, and obtaining an encrypted first message and an encrypted first group key from the central repository. The encrypted first message was encrypted using the first group key, and the encrypted first group key is the first group key encrypted using the first public key. The method further includes using the encrypted first private key stored on the predetermined NFC tag to decrypt the encrypted first message.

The invention discloses a cross-service unified topological data structure and operation method and system in a network target range. According to the method, service maintenance is constructed through a topological network, and topological data SDK and a topological standard operation algorithm SDK are published to a central warehouse; each business service registers an own service identifier and a remote method calling address to the registration center, and pulls all registered service information; each business service independently stores part of topological data related to own business, when specific topological data needs to be operated, the topological data is operated by using a corresponding processing function in a topological standard operation algorithm SDK pulled from a central warehouse, and the topological standard operation algorithm can support automatic routing to realize cross-service operation of the topological data. According to the invention, decoupling of the topological data of different services of the network target range platform is realized, the different services independently carry out additional internal business operation on part of the topological data belonging to the services through a unified operation algorithm, and the maintainability of the network target range platform is improved.

Described herein is a system and method for performing data management in a multi-cloud environment. The system includes a computing unit communicably connected to a central controller, comprising an input component adapted to present an input query, and an output component adapted to elicit a response from the central controller. The central controller includes a central repository adapted to receive multi-cloud environment resource datasets. The central controller includes processing modules, each comprising programming instructions and configured to perform a predetermined activity. Each processing module includes a data ingesting module, an app controller module and a security controller module. A user presents an input query on an interface configured onto a computing unit. The central controller processes the input query with a processing module to collect and identify a complete data set collected by detecting, capturing and recognizing tasks and / or resources accessed by each user and application, and resource.

A bond-log interpretation system, apparatus, and computer-implemented method are disclosed. The system ingests a cement-bond log (CBL) containing variable-density log (VDL) data and at least one secondary data track (SDT). A processing core, coupled to toggleable lithology, casing-tally, cementing-data, and prior-CBL libraries, first executes a VDL-only assessment at each depth to flag possible discontinuities. For every flagged depth, the core correlates the concurrent SDT data with selected library information to confirm or clear the discontinuity, delineate imperfect intervals, and identify probable causes. Results are synthesized into an annotated integrity report that includes audit-trail metadata listing which libraries were enabled. In a multi-well deployment, multiple field units synchronize their libraries with a central repository over a secure network, allowing real-time, parallel analysis and fleet-wide visualization. The modular architecture permits on-the-fly enabling, disabling, and versioning of libraries while maintaining a single interpretation engine adaptable to diverse tools and formations.

A network-based apparatus includes at least one processor and at least one memory including computer program code. The at least one memory and the computer program code are configured to, with the at least one processor, cause the network-based apparatus to: select at least a first bitstream from a central repository based on an indicator associated with a probability of concurrent, simultaneous or future execution of the first bitstream and a second bitstream at a network node, each of the first bitstream and the second bitstream including programming information for a device at the network node, the indicator being based on an embedding matrix mapping at least a subset of bitstreams in the central repository to an N-dimensional vector of real numbers; and output the first bitstream to the network node for storage and execution upon request.

Apparatuses, systems, and methods relate to technology to that includes a processor. The technology receives unstructured usage data from applications that execute on user devices, stores the unstructured usage data into a central database, where the unstructured usage data is in an unstructured data format, and retrieves the unstructured usage data from the central database. The technology further converts the unstructured usage data, that is retrieved from the central database, from the unstructured data format into a structured data format to generate structured usage data, stores the structured usage data into a central repository, and generates a current usage measurement based on the structured usage data that is stored in the central repository.

An example methodology includes, by a computing device, analyzing an application to identify one or more elements in the application and, for each element of the one or more elements, an attribution of the element. The method also includes, for each element of the one or more elements, by the computing device, determining an attribute of the element which is a non-duplicate attribute, creating a first accessibility to the element by the non-duplicate attribute, creating a second accessibility to the element by XPath, and storing the first accessibility and the second accessibility created for the element within a central repository. The method may also include, by the computing device, generating a handler class for an element of the one or more elements in the application, wherein the handler class contains code for accessing the element, and providing the generated handler class to another computing device.

This invention provides a code AI review method, system, device, and storage medium with a central repository architecture. The method includes: constructing a centralized code review service repository to provide unified services for multiple business projects; receiving code change trigger signals and loading the review configuration for the corresponding business project; splitting multi-dimensional review tasks into multiple independent execution units and executing them in parallel, with each unit running in an independent context; creating a multi-level versioned storage directory based on code version identifiers and storing review results by dimension; submitting the review results to the central repository to generate an audit trail and pushing the review report to the code hosting platform. This invention, through unified management of the central repository and a multi-agent parallel architecture, achieves efficient access for multiple projects, significantly improved review efficiency, versioned traceability of review results, and a significant reduction in review costs.

An evolved multimedia broadcast multicast services (eMBMS) core may map sensor data or telemetry data from a central repository server (e.g., tag it with an area code from where the data is being generated) to a service area. The eMBMS core may inform the radio access network to create a service area for the specific area code, which may be part of or an entire city, county, or the like. Then the radio access network may broadcast the data to the vehicles or devices in the specific area code.

The invention discloses a planned transport capacity interruption freight flight disturbance cost optimization method, and relates to the technical field of air transportation operation management and intelligent scheduling, and the method comprises the steps: obtaining flight adjustment records, cargo transportation state updating and ground equipment availability data from a cross-department system; the information is synchronized to a central storage library through a real-time convergence channel, and a preliminarily integrated multi-dimensional dynamic data set is generated according to cross-department data timestamp comparison and data field integrity checking; according to the planned transport capacity interruption freight flight disturbance cost optimization method, the overall disturbance cost is gradually reduced in a business scene in which planned transport capacity interruption repeatedly occurs, and the stability, controllability and cross-department cooperation efficiency of air freight operation are improved.

The application discloses a method and system for executing SQL query in NoSQL database, the method extracts the unique semantics of NoSQL into standardized rule slot plug-ins and registers the rule slot plug-ins into a central repository, and binds all the rule slot plug-ins with a SQL parser, the SQL parser can automatically query the corresponding rule slot plug-in for semantic compensation in the central repository according to the current SQL query and the binding result, and the rule slot plug-in can be automatically instantiated during parsing, so that the standard SQL and NoSQL extension can be seamlessly written in the same statement, the seamless completion from the normal SQL to the complete SQL with the unique semantics of NoSQL is realized, any unique semantics of NoSQL can be expressed with zero loss, the migration cost and maintenance cost from NoSQL to SQL are significantly reduced, and analysts can directly use the standard SQL to query NoSQL data in the NoSQL database.