108 results about "Centralized database" patented technology

The invention relates to the technical field of transaction processing systems, and particularly discloses a trusted monitoring auditing system fusing TEE and a block chain, which comprises the following steps: generating a transaction instantaneous state abstract containing a key information field at a key node of a business process through a trusted execution environment, signing, anchoring a hash value of the transaction instantaneous state abstract to a block chain network, and storing the signature abstract under the chain; and during auditing, by comparing integrity verification of on-chain hash and under-chain abstract and TEE signature verification, dual authentication of transaction authenticity and environment reliability is realized. Through the collaborative architecture of the TEE and the block chain, the transaction core data state and the credible environment proof are deeply fused, so that the audit verification can be independently completed without depending on a centralized database, the problem that post-event tracing depends on the credibility of the log in the traditional audit is fundamentally avoided, and the audit verification efficiency is improved. And a lightweight credible verification basis is provided for a cross-mechanism cooperation scene.

The invention discloses a transformer substation patrol robot management method based on a company Internet of Things platform, and the method comprises the steps: collecting multi-modal data in a transformer substation, carrying out the fusion and analysis of the collected multi-modal data, and generating equipment state information based on a deep learning algorithm; according to the equipment state information and the routing inspection task priority, task allocation is performed on the routing inspection robot through a dynamic scheduling algorithm, according to a task allocation result, an optimal routing inspection path for the robot to execute tasks is formulated by using a path planning algorithm, and the path is adjusted through real-time data; constructing an equipment health management model, and predicting an equipment operation state based on the time sequence data and a machine learning algorithm; real-time monitoring is carried out through an Internet of Things platform, and data is stored in a centralized database. According to the invention, the inspection efficiency and accuracy of the transformer substation can be obviously improved, the potential risk caused by equipment failure or inspection omission is reduced, and the operation maintenance mode of the unattended transformer substation is optimized.

The embodiment of the invention relates to the technical field of data storage, and discloses a cross-K8S cluster configuration change storage method and device based on a block chain, and the method comprises the steps: obtaining a transaction request message passing the compliance verification of an intelligent contract engine, and the transaction request message comprises a configuration change request; obtaining log information of the configuration change request in the transaction request message executed by the target K8S cluster, wherein the log information further comprises configuration change cluster difference information; the log information is stored in a fragmented mode based on the IPFS network, and content hash codes of the log information are obtained; and taking the transaction request message and the content hash code as complete transaction information, and storing the transaction request message and the content hash code in a transaction pool. Decentralized storage is achieved based on an IPFS network fragmentation storage mode, the problem that a centralized database or a log system is maliciously modified or historical records are deleted easily in centralized storage is solved, and auditing integrity and data storage safety are guaranteed.

The disclosed embodiments involve recording performance metrics for network connections in a centralized database, storing network connection data in a global registry across multiple data centers, detecting backlogs at specific data centers linked to network elements and connections, and generating updated connection assignments. These assignments include identifiers for the involved data centers and connections. Upon receiving a connection assignment update notification, the method updates the network connection and communicates the first data center's connection state to the global registry.

The invention provides an API full-life-cycle management method and system based on database management and control. The method comprises the steps that basic information of an API is received through a standardized interface, and the basic information is written into a database after verification is passed; an accessible user role is configured for the registered target API, and the permission association relationship of the target API is written into a database; configuring a read-write attribute, an instance library access rule and a classification permission level of the target API, and writing configuration data into a database; accessing the verified API to a service gateway to open a calling entry; aPI calling data is collected and written into a database, and multi-dimensional analysis is carried out to comprehensively monitor the running state of the API; the system comprises an API registration module, an authority configuration module, an attribute configuration module, an operation monitoring module and a background management module. According to the technical scheme, authority control, attribute configuration and link monitoring are integrated through the centralized database, and the method has important application value.

This disclosure describes methods and systems to externally manage network-to-network interconnect configuration data in conjunction with a centralized database subsystem. An example of the methods includes receiving and storing, in the centralized database subsystem, data indicative of user intent to interconnect at least a first network and a second network. The example method further includes, based at least in part on the data indicative of user intent, determining and storing, in the centralized database subsystem, a network intent that corresponds to the user intent. The example method further includes providing data indicative of the network intent from the centralized database subsystem to a first data plane adaptor, associated with the first network, and a second data plane adaptor, associated with the second network.

A central database system trains and applies machine-learned models based on characteristics of one or more entities associated with the central database system. For instance, the central database system trains a machine-learned model configured to identify issues a target entity is likely to encounter based on training data identifying characteristics of historical entities and issues faced by the historical entities. Likewise, the central database system trains machine-learned models configured to predict actions that entities are likely to take in the future, and resources required to take those actions. The central database system can then perform one or more proactive actions or make one or more recommendations based on the predicted issues, the predicted future actions, and the predicted required resources.

Methods and systems for creating and using a knowledge base in a contact center. Templates, including responses to specific issues, are made available to agents in dynamic manner to allow agents to be more efficient while performing their daily job. A centralized database of templates is created in a novel manner to be used for multiple digital channels. The templates can be used and reused by multiple systems such as an agent assistant system or a virtual agent system, providing an integrated and consistent experience for responding to communications in a contact center.

A system enables agile model development to speed up innovation by data scientists. Model training and deployment are coordinated and standardized to reduce redundancy. Data is obtained for feature generation and reformatted and de-sensitized for storage. The features are stored in locations available to all models and training modules of a system so data does not need to be adjusted for new models. To generate a machine learning model, the system establishes a cohort for evaluation by the model. A model template and features for use by the model are identified. The selected template and features are used for experimentation and evaluation. Model training artifacts, such as model weights are subsequently recorded in a model store and the model scripts and settings can then be registered in a centralized database where it can be accessed for execution.

Methods for reducing storage demands at a centralized database and for reducing probability of a security breach such as an interception attack and a man-in-the-middle attack. Methods may include obtaining a document at the edge computing device. Methods may further include storing the document at the edge computing device. Methods may include executing, using a processor, on the edge computing device, a hashing algorithm on the document. Methods may include outputting, using the processor, a hash-value that is an outcome of the hashing algorithm, where the hash-value corresponds to the document. Methods may include transmitting, using the processor, the hash-value to the centralized database over a low bandwidth communication line while maintaining a storage of the hash-value at the edge computing device. Methods may include storing the hash-value at the centralized database. The hash-value may provide a condensed representation of the document.

The invention relates to the field of electric power energy, and provides a virtual power plant access method for a multi-voltage-level electric energy replacement equipment cluster, which comprises the following steps: firstly, multi-voltage-level electric energy replacement equipment uploads operation data to a data acquisition terminal with the same voltage level, and the data are gathered to an aggregation node with the corresponding voltage level through the acquisition terminal; the virtual power plant center platform receives and stores the data in a centralized database through a standardized interface, and then load short-time prediction is carried out on the virtual power plant center platform based on time sequence analysis of full-amount equipment data. In this way, effective circulation and comprehensive analysis of heterogeneous equipment data can be realized, and it can be guaranteed that a load prediction result accurately represents the overall operation situation of an equipment cluster.

Presented herein are systems and methods for aggregating claims data. A database query service may aggregate record data from clients, provider services, and a multitude of other entities to store and maintain on a centralized database. The records data may be stored and maintained as one or more data structures in accordance with a standard template across the database to facilitate access by the entities using the database. The records data may also identify information for entities. The service may also establish a communication session to facilitate exchange of messages through an interface between a client device and provider services. The service may monitor for usage of an electronic device at the provider service.

Presented herein are systems and methods for aggregating claims data. A database query service may aggregate claims data from patients, care providers, pharmacy services, and a multitude of other entities to store and maintain on a centralized database. The claims data may be stored and maintained as one or more data structures in accordance with a standard template across the database to facilitate access by the entities using the database. The claims data may also identify information for entities available for provision to address health conditions of patients. The service may also establish a communication session to facilitate exchange of messages through an interface between a patient and the entities. The service may monitor for usage of an electronic card at the pharmacy service.

Systems, methods, and other embodiments associated with a centralized product catalog with standardization from independent data sources are described. In one embodiment, a computing system is configured to access and download product information for a plurality of products that is maintained in a non-standard format. Metadata is identified and extracted. Feature vectors may be generated from the metadata and used to predict and assign class codes to products. The product attributes are extracted from each product, which include a non-standard product description. The non-standard product description is converted into a standardized text description. Standardized records are generated for each product record and a centralized database is generated with the standardized records.

Presented herein are systems and methods for aggregating claims data. A database query service may aggregate record data from clients, provider services, and a multitude of other entities to store and maintain on a centralized database. The records data may be stored and maintained as one or more data structures in accordance with a standard template across the database to facilitate access by the entities using the database. The records data may also identify information for entities. The service may also establish a communication session to facilitate exchange of messages through an interface between a client device and provider services. The service may monitor for usage of an electronic device at the provider service.

This application relates to an anonymous reporting and transaction modification method based on an editable blockchain architecture. The blockchain comprises user nodes, management nodes, supervisor nodes, and secretary nodes. The editable blockchain operates through a query phase, an anonymous review phase, and a data modification phase, enabling transaction query, transaction reporting, and post-report modification. This application implements an editable blockchain solution that supports multi-party constraints and anonymity, while enabling reporters to balance anonymity and declarativeness, while avoiding the single point of failure inherent in centralized databases.

Distributed firewalls reside at different points across a network. Each distributed firewall can include one or more rules that govern traffic over and / or access to the network. The rules can be discovered, converted into a standardized format, and indexed at a centralized rule database. The rules or data of the rules can be verified. The rules can be certified at the centralized database. The certification process can be based on a direction of traffic to which the rule governs. The certification process may have different levels based on the direction of traffic.

The present invention provides a drug traceability system and access optimization method based on blockchain, which relates to the technical field of drug traceability. The user's storage instructions and the drug data to be stored are input into the system through an input module; the input module transmits the received drug data to the classification storage module; the classification storage module stores different types of data in a database or blockchain; the input module transmits the user's query instructions and the information to be queried to the query module; the query module inputs the query results into a transaction graph construction module or an output module according to the query instruction type; the transaction graph construction module constructs the transaction graph required for drug traceability, and transmits the transaction graph to the output module in the form of data information and image information; the output module feeds back all the received information to the user; the system and method combine the centralized database with the blockchain technology, which not only ensures the high efficiency of storage and query, but also ensures that the key information of drug transactions cannot be easily tampered with.

The present invention discloses a system (108) and method for analyzing and visualizing data in context of a telecom network The system (108) allows drive test data from various sources to be efficiently parsed, translated, and validated 5 using a data parser module (212), a translator module (216), and a validator module (214) for each individual drive test data source. The processed data from each drive test data source is subsequently stored in a centralized database (210). The system enables the execution of separate processing jobs aimed at visualizing drive test data from multiple sources across different layers. The visualization aspect provides 10 valuable insights into the performance and characteristics of the telecom network, facilitating enhanced analysis and decision-making processes.

The current document is directed to methods and systems that automate generation and storage of documentation and intermediate results produced during computational-model-generation processes. In described implementations, a listener process is established within development-environment components of a data-science pipeline. Each listener detects data-collection events and automatically stores information extracted from the development environment in which it is established. The automatically stored information is processed and aggregated, along with various intermediate products and results and / or references to the intermediate products and results, for forwarding to a backend process that analyzes and further processes the forwarded information for storage in a centralized database. The centralized database can be subsequently used to provide a detailed history of the steps carried out in a data-science pipeline and to reconstruct data-science-pipeline states at specified time points and to generate evidentiary records or reports suitable for compliance and audit purposes.

Methods and apparatus for secure data digital rights processing, distribution, and monetization through the use of Smart Contracts as input to a machine learning module (MLM) to manage and enforce digital rights across multiple ecosystems. One embodiment of the invention includes a digital data rights server configured to communicate with a distributed ledger technology (DLT) or a centralized database (DB). In addition, a Smart Contract layer may integrate on top of the DB API and be responsible for the sole control of the owner's digital data rights. The Smart Contract layer is configured to track party's privy to the data, the legal rights and obligations of such parties, the value of the digital rights data, and the automatic provisioning of digital rights data based on the rules set in advance by the digital rights data owner as digital rights data moves to the next generation of digital rights data subscriber.

The application discloses a multi-source data intelligent integration query method, system, device, medium and product, relates to the technical field of data engineering, and comprises the following steps: acquiring a SqlNode query configuration configured through user visual interaction, and avoiding data delay and storage redundancy without pre-synchronizing data to a centralized database; analyzing the configuration, traversing data table nodes to generate corresponding temporary table nodes; determining temporary table connection conditions based on associated query node configurations, integrating data source table configuration sets, and uniformly processing target fields to obtain a target field set, so that the connection conditions can be flexibly adjusted to adapt to business changes and model adjustment costs are reduced; then, a target SQL statement is spliced and generated; Apache Calcite query parameters are configured, SQL is executed, and returned results are processed, multi-source heterogeneous data integration is realized, data islands are eliminated, and data query efficiency and reliability are improved.

A centralized database management system performs data synchronization with lower bandwidth consumption and higher efficiency. The system manages data synchronization and data reconciliation across multiple databases managed by multiple DBMS across different client servers. The system generates and sends instructions that encode each data table into an invertible bloom filter and identifies differences between the two databases by performing a subtraction operation on the two invertible bloom filters. The system may generate a third invertible bloom filter comprising information associated with differences between the two data tables. The system may send instructions to the source and the destination databases, where a first and a second invertible bloom filters are encoded for the source and the destination databases, respectively. The system may decode the third invertible bloom filter, identify the different elements, and generate instructions to the source and / or the destination database.

In some embodiments, the present invention provides an exemplary computer system that includes at least the following components: at least one processor; a non-transitory memory storing software instructions; and where, when executing the software instructions by the processor, the computer system is configured to perform at least: controlling a plurality of first software objects; controlling a plurality of second software objects; controlling a plurality of third software object; where each software object includes at least one property programmed with at least one trigger condition and at least one programmed action; where the at least one pre-programmed action is configured to dynamically change a value of at least one property of at least one other software object based on: i) the at least one trigger condition; and ii) a value of at least one other property.

A system can be provided for controlling resource transfers based on unique digital identifier data. For example, the system can receive a resource request from a user device. The resource request can be a request to transfer a resource from a first user account to a second user account based on a document. The system can then identify a unique digital identifier for the document. The system can further query a centralized database using the unique digital identifier to determine, based on a status indicator stored in the centralized database and associated with the unique digital identifier, a status of the document. Additionally, based on determining that the status of the document is a pre-processing status, the system can authorize the transfer of the resource and update the status indicator to change the status of the document from the pre-processing status to the processing status.

A system can be provided for controlling resource transfers based on unique digital identifier data. For example, the system can generate a unique digital identifier and a status indicator for a document. A status corresponding to the status indicator can be selected from a pre-processing status, a processing status, and a post-processing status. The system can further store the unique digital identifier and the status indicator in a centralized database accessible by one or more entities. Additionally, the system can control a transfer of a resource with respect to a user account associated with one of the entities based on the unique digital identifier and the status indicator for the document. The transfer of the resource may be initiated using the document.

A system for viewing at a client device a series of three-dimensional virtual views over the Internet of a volume visualization dataset contained on centralized databases employs a transmitter for securely sending volume visualization dataset from a remote location to the centralized database, more than one central data storage medium containing the volume visualization dataset, and a plurality of servers in communication with the centralized databases to create virtual views based on client requests. A resource manager load balances the servers, a security device controls communications between the client device and server and the resource manager and central storage medium. Physically secured sites house the components. A web application accepts at the remote location user requests for a virtual view of the volume visualization dataset, transmits the request to the servers, receives the resulting virtual view from the servers, and displays the resulting virtual view to the remote user.

ROAX is a universal healthcare system build on top of blockchain technology, a platform designed to empower both doctors and patients by providing a secure, compliant, and privacy- preserving system for storing verifiable proofs and signatures of medical records. Utilizing blockchain technology, ROAX ensures the integrity, security, and interoperability of medical data, transferring data ownership directly to the record owner. For the first time, the platform incentivizes doctors to collaborate, fostering a cooperative medical ecosystem. By decentralizing verifiable data, ROAX significantly enhances data security, protecting against breaches and unauthorized alterations. This immutable and verifiable record system not only safe-guards patient information but also assures the credibility of medical records. ROAX introduces a universal interoperable framework, the idea was inspired from the end-to- end encryption from WhatsApp and incorporates blockchain technologies as well as recent trends of cryptography to complete an entire infrastructure that can facilitate the development of Decentralized Medical (DeMed) applications, thereby broadening the scope and accessibility of healthcare services. The platform supports a new economy for medical data and insurance, promoting efficient data availability and utilization across the medical industry. A medical entity / doctor would carry out its usual creation of medical record to a centralised database. After which he will also generate a proof / signature and submit it it as a transaction onto the blockchain. Validators of the network verify the transaction. Anyone that holds the raw medical records can now verify the data on-chain. Authorised individual with the medical record can share the medical records via a data availability layer encrypted through the receiver's public key. And the intended receiver could decrypt it via their own private key. In the previous step, the medical entity communicates with the patient's hardware device via an end to end encryption communication.

The invention relates to the technical field of databases, and discloses a centralized database and distributed database conversion method, which comprises the following steps of: detecting whether all computing nodes support a cluster mode conversion function or not through a management node of a centralized cluster; if all the computing nodes support the cluster conversion function, converting the centralized cluster into a pre-conversion mode, and verifying the runnability of stock services after the centralized cluster is switched to a multi-fragment mode in the pre-conversion mode; if the verification of the operability of the stock service is passed after the centralized cluster is switched to the multi-fragment mode, SQL compatibility and data object verification is carried out; when the SQL compatibility and data object verification is passed, a system built-in library table and system metadata are reconstructed, a distributed built-in data column is added for a service library table, and all DDL operations and backup tasks are forbidden; and after the built-in library table of the system and the system metadata are reconstructed, the pre-switching mode of the cluster is switched into a formal multi-fragment mode, and the centralized database is switched into the distributed database.

The invention discloses a data distribution strategy generation method, device and system based on an association cluster and a medium, and the method comprises the steps: collecting historical SQL statements of a source centralized database, and extracting corresponding inter-table association information according to the historical SQL statements; constructing a corresponding association graph according to the association information between the tables, and performing graph clustering processing on the association graph to obtain a plurality of strong association table clusters; performing fragmentation key compatibility analysis and fragmentation cost analysis on each strong association table cluster, and generating a joint distribution strategy of each strong association table cluster according to an analysis result; according to the reference features of the remaining non-cluster table, a corresponding supplementary distribution strategy is confirmed; and outputting a table establishment script of the target distributed database according to the joint distribution strategy and the supplementary distribution strategy. The corresponding distribution strategy is automatically generated based on association cluster joint optimization, so that the cross-fragment operation of the distributed database during association is reduced, and the association performance of the distributed database and the service operation efficiency are improved.