63 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 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 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.

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.

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.

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.

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.

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.

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.

The invention relates to a test data generation method and device for a distributed and centralized database of an electricity consumption information acquisition system, computer equipment, a computer readable storage medium and a computer program product, and can be applied to the technical field of computers. The method comprises the following steps: acquiring original measurement data of a plurality of data sources, and performing multi-dimensional feature coding processing on the original measurement data to obtain a multi-modal feature vector; performing fusion processing on the data source feature vector, the time sequence feature vector and the cross-source association feature vector to obtain a multi-modal fusion feature vector; inputting the multi-modal fusion feature vector into a pre-trained dual-task generation model for test data generation processing to obtain test data; and according to the architecture type of the to-be-tested database, performing architecture adaptation processing on the test data to obtain target test data matched with the architecture type. By adopting the method, the adaptability of the generated test data can be improved.

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.

The application relates to the technical field of transaction processing systems, and particularly discloses a trusted monitoring and auditing system integrating a TEE and a blockchain, which comprises the following steps: generating a transaction instantaneous state digest containing a key information field at a key node of a business process through a trusted execution environment, signing the transaction instantaneous state digest, anchoring a hash value of the transaction instantaneous state digest to a blockchain network, and storing the signed digest off-chain; and when auditing, verifying the integrity of the hash on the chain and the off-chain digest and the TEE signature, so as to realize double authentication of transaction authenticity and environment reliability. Through the collaborative architecture of the TEE and the blockchain, the application deeply integrates the transaction core data state and the trusted environment proof, so that the auditing verification can be independently completed without relying on a centralized database, and the problem of relying on the log credibility in the traditional auditing is fundamentally avoided, and a lightweight trusted verification basis is provided for cross-institution cooperation scenarios.

The invention relates to a product quality authentication method and system based on a digital identity label, and the method comprises the following steps: collecting environment parameters of a target product in a logistics transportation process through an intelligent label, and obtaining environment sensing data; based on the environment sensing data, performing state evaluation on the target product to obtain product state information; carrying out dimension-by-dimension matching analysis on the basis of the product state information and a standard threshold interval in a preset authentication standard library to obtain a quality judgment result; based on the quality judgment result, performing digital identity identification coding on the target product to obtain a verifiable digital identity tag; information traceability calling is carried out on the target product based on the verifiable digital identity tag through the terminal equipment, a product information display interface is obtained, and the technical problem that data are prone to being tampered due to the fact that product information is recorded by a current mainstream traceability system based on a centralized database is solved.

Embodiments disclosed herein describe systems and methods to generate statuses of higher level integrated logical clusters from one or more output files generated by the clusterwares of a plurality of lower level physical clusters. The systems and methods provide an interactive dashboard graphical user interface (GUI) rendering the statuses of the higher level logical clusters. In response to a drill down selection by the system administrator, the systems and methods may render resource level statuses of the plurality of resources forming the higher level logical cluster. Therefore, by using a single dashboard, a system administrator can seamlessly transition between statuses at different level of abstractions for multiple resources distributed across multiple geographically diverse datacenters. Furthermore, the dashboard allows the system administrator to perform failover operations.

A programmed network device and corresponding method are provided for rebuilding a multicast state upon experiencing a failure in a network using a protocol independent multicast (PIM) protocol. The method includes receiving updates to an outgoing list (Olist) for a given multicast route (mroute) at the network component and updating a PIM cache Olist in the network component with the received updates. During a state of recovering from the failure, the method includes determining whether the PIM cache Olist matches a centralized database Olist located in a centralized database. When a match is found, the method includes publishing an mroute state from the PIM cache to the centralized database.

Computing device(s) are configured for managing the reunification of students with parents during an emergency or a drill for a simulated emergency. The reunification of students with guardians may be managed through the operations of various user interfaces (UIs) presented on the device(s). Different UIs may be configured to support different personnel performing different roles in the reunification process. The UIs may include one or more of a student supervisor UI, a location supervisor UI, a runner UI, a guardian greeter UI, a reunification officer UI, or an incident commander UI. The various UIs enable different personnel to track the location and status of individuals, such as students and guardians, during various stages of a reunification process, enable personnel to dynamically update a centralized database with current information regarding the location and status of individuals, and view real time information regarding the location and status of individuals.

The invention discloses a ship outfitting list compiling system and method, and relates to the technical field of ship design and manufacturing. The system comprises a multi-user terminal subsystem used for logging in a plurality of professional users; the summary user terminal subsystem is used for receiving and integrating information submitted by each user, storing an outfitting piece basic information base and recording project full declaration cycle data; and the central database subsystem is used for storing an outfitting piece basic information base and project full-life-cycle outfitting piece data, and providing data retrieval, statistical analysis and report generation functions. Through a multi-user-side cooperative working mode, an intelligent data verification mechanism, process approval management and a centralized database, the problems of low efficiency, high error rate, difficulty in cooperation and the like in a traditional outfitting list compiling process can be solved, and digitization, intelligentization and standardization of ship outfitting list compiling are realized.

The invention relates to the technical field of computer data storage and management, and discloses a file reference-based data association maintenance processing method and system, which comprises the following steps of: determining a reference relationship of a source file to specific data of a target file, calculating a topological feature vector, storing the topological feature vector in the source file, and writing a reverse reference identifier in an extended attribute of the target file; monitoring a write-in instruction for the target file, generating a differential tuple, and stacking the differential tuple to an increment differential data sequence in the extended attribute of the target file; in response to a source file reading request, performing displacement transfer superposition operation on the original reference position by using the differential tuple to obtain a predicted reference position; and verifying feature vector matching of the data at the predicted position, updating the source file reference position and removing the processed differential tuple. According to the method, the increment change is recorded by utilizing the file extension attribute, automatic maintenance and self-healing of the reference relationship are realized under the condition of no centralized database through an inert analysis and vector correction mechanism, and the system overhead is reduced.

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.

A system is provided.SOLUTION: A system, comprising: means for collecting data of lifestyle, health condition, and genetics of a user from a data collection device; means for integrating and storing the collected data in a centralized database; means for training a prediction model generated based on the integrated data to predict health risks and health condition of each user; means for generating and providing a customized health improvement plan to the user based on the prediction model; and means for monitoring changes in behavior data and health condition of the user and updating the customized health improvement plan in real time.SELECTED DRAWING: Figure 1

The invention discloses a distributed database system. A distributed database system comprises a fragmentation component and a centralized database, the centralized database comprises a first database unit and a second database unit, the first database unit and the second database unit respectively comprise a master database and a slave database, the first database unit comprises a first master database, the second database unit comprises a second master database, and the slave database comprises a slave database and a second slave database. The first database unit comprises at least one slave library of the first master library and at least one slave library of the second master library, and the second database unit comprises at least one slave library of the second master library and at least one slave library of the first master library; the fragmentation component is used for receiving the to-be-written data and the data identifier of the to-be-written data in the application layer, and carrying out library division and table division on the to-be-written data based on the data identifier and the number of main libraries in the centralized database to obtain library division information and table division information; and the to-be-written data is written into the centralized database according to the sub-database information and the sub-table information, so that efficient storage of the data is realized.