529 results about "Database server" patented technology

The invention discloses a question and answer mode data retrieval and large model summarization method and device, equipment and a medium, and relates to the technical field of artificial intelligence, prompt words are written for natural language questions of a user, and target indexes corresponding to the natural language questions are determined; generating a structured query statement, inputting the structured query statement into a database server, and executing query operation; if the query operation is successful, outputting a query result, and inputting the query result and the natural language question into a preset model to obtain a first question and answer mode summary result; and if the query operation fails, taking the target index as a retrieval keyword to screen a retrieval result, filtering and sorting to obtain a target retrieval result, and inputting the target retrieval result and the natural language question into a preset model to obtain a second question and answer mode summary result. Question and answer type data retrieval and large model summarization are realized, the model deployment complexity is reduced, and the resource utilization efficiency and the accuracy of question and answer type data retrieval and large model summarization are improved.

The invention discloses a high-precision dynamic sensing method for coarse-grain-size dam materials based on 5G and visual intelligence, and the method comprises the steps: setting a 5G base station or 5G access equipment in a dam region, and collecting dam surface image data through employing an unmanned plane; transmitting the acquired image data in real time through a 5G network; a database server and an image processing server are arranged on the ground, and the database server receives and stores collected data through a 5G network; a dam material analysis model constructed based on a YOLOv8 model is arranged in the image processing server; the image data in the database server is called by the cloud server and input into a dam material analysis model, and the dam material analysis model calculates the particle size of stones and aggregates by adopting a minimum bounding rectangle method based on an instance segmentation result of a YOLOv8 model, and identifies oversized stones, oversized aggregates and the position and area of a concentrated region of the oversized stones and the oversized aggregates; and the image processing result is sent to the database server for storage by the image processing server. According to the invention, the labor is reduced and the detection efficiency is improved.

The invention particularly relates to a batch data updating method based on Redis and md5. According to the batch data updating method based on Redis and md5, data of all departments are collected into a temporary table, md5 values of the data of all the departments are generated, and the md5 values and UUIDs are stored in a Redis cache together; reading newly collected temp table data in the Redis cache in batches, comparing the temp table data with current formal table data according to departments, and finding out deleted data, newly added data and modified data according to md5 values of the data; if the data change rate is not lower than the self-defined threshold value, batch updating is conducted on the current formal table according to newly-collected temp table data in the Redis cache. According to the batch data updating method based on the Redis and the md5, rapid reading and caching of the data are achieved, the number of access times of a back-end database is remarkably reduced, the burden of a database server is effectively relieved, the response speed and the data processing efficiency of the whole system are improved, the safety and the integrity of the data are ensured, and the data updating efficiency is improved. The problem of system data loss during total collection of the database is solved.

The invention relates to a database test case generation and optimization method, system and device and a storage medium. Knowledge information related to a target database is obtained, and after vectorization is conducted on the knowledge information, the knowledge information is stored in a vector database supporting vector storage and vector retrieval; obtaining test demand information, retrieving vector data related to the test demand information from the vector database, and extracting original text data corresponding to the vector data through a mapping relation of the vector database; obtaining a pre-constructed cue word template, filling the test demand information and the original text data into the cue word template to obtain cue words, analyzing the cue words through a preset large language model, and generating a test case of the target database; and sending the test case to a database server for running to obtain a running result, optimizing the cue word according to the running result, and re-inputting the cue word into the large language model until the test case generated by the large language model meets user requirements.

The embodiment of the invention relates to a data processing method and device based on a key value database, equipment, a storage medium and a key value database system.The method comprises the steps that after it is determined that to-be-cached key value data exists in a video memory of a graphic processing unit, a data storage request for the to-be-cached key value data is sent to a key value database server side, the data storage request carries storage address information and storage length information of value data of to-be-cached key value data in a video memory; receiving a data reading request which is sent by a key value database server and carries storage address information, and controlling the first network card supporting the remote direct memory access protocol to read value data of the key value data to be cached from the video memory according to the storage address information, sending the value data to the key value database server side, and writing the value data through the second network card supporting the remote direct memory access protocol. Visibly, according to the embodiment of the invention, the key value data in the GPU video memory can be stored without a memory copying process, and the processing efficiency of the key value data is improved.

The invention discloses an Internet of Things equipment closed-loop management and control cloud platform and method based on a dynamic safety index, and relates to the technical field of Internet of Things. Comprising a database server, an application server, a monitoring module used for collecting and synchronizing equipment operation state data in real time, an alarm module used for judging the working state of a sensor, and an early warning module used for carrying out early warning on a future time node. The processing module is used for calculating a dynamic security index of the cloud platform; the feedback module is used for bidirectional transmission; the monitoring module, the alarm module, the early warning module, the processing module and the feedback module are all deployed in an application server, and operation data, alarm information, early warning information and processing results generated by all the modules are all stored in the database server; through introduction of a dynamic safety index, real-time adjustment of dynamic changes of potential faults of equipment is realized, and response hysteresis is avoided. And through a complete closed-loop management and control mechanism, the processing efficiency is improved, and an effective equipment management and control system is formed.

A data owner can provide shares of a cryptographic key to N key servers. The N key servers can store the shares of a cryptographic key from the data owner such that T shares of the cryptographic key can be used to reconstruct the cryptographic key. A client computer can send a blinded query to T key servers of the N key severs, wherein the T key servers can encrypt a blinded query of a client computer using the share of the cryptographic key to determine a partial encryption. The client computer can receive T partial encryptions, assemble T partial encryptions to form an encrypted blinded query, and deblind the encrypted blinded query. The client computer can then use the encrypted query to perform a search on encrypted data of a remote database server using a searchable symmetric encryption scheme.

The invention discloses an RDMA Chain-based LSM Tree key value type database access method. The method comprises the following steps: a database client sends a request containing a version number, a key and an operation type to a database server main node; the server main node analyzes the request and processes the request according to the operation type; during write operation, a new serial number is generated, and data is inserted into a skip list of a memory table MemTable; when reading operation is carried out and the version number is smaller than 0, whether a key exists or not is checked through a Bloom filter, if yes, query is carried out at a secondary node through the RDMA technology, and if not, an SSTable file in a disk is directly accessed; and when the reading operation is performed and the version number is greater than or equal to 0, preferentially searching the data of the corresponding version in the MemTable, and if the data of the corresponding version fails, querying the SSTable. Through the RDMA technology, CPU occupation and network round-trip time are reduced, and the response speed and concurrent processing capacity of the system are improved.

The invention provides a non-standard address standardization method and device which are applied to a data processing server in a non-standard address standardization system, and the method comprises the steps: receiving an input non-standard address; the search engine server queries a recall result corresponding to the non-standard address; according to a set multi-dimensional address recall rule, the first N addresses in the front are taken as candidate addresses from recall results returned by the search engine server, and a first address list corresponding to rough sorting is obtained; the multi-dimensional address recall rule comprises query based on a text feature extraction algorithm, query based on Boolean and query based on a preset weight strategy; performing fine sorting on the N candidate addresses based on a BERT semantic vector model to obtain a second address list corresponding to the fine sorting; and performing fusion sorting on the first address list and the second address list by using a preset fusion algorithm to obtain standardized address data after fusion sorting, and storing the standardized address data to a database server. According to the scheme provided by the invention, the processing efficiency is improved, and the matching accuracy is effectively improved.

A database management system may include a control plane comprising a memory having computer-readable instructions stored thereon and processor that executes computer-readable instructions to execute one or more services running on the control plane, the control plane connected to a plurality of database servers, wherein each of the plurality of database servers is connected to the control plane via a communication channel, wherein the control plane comprises a plurality of data streams, each of the plurality of data streams configured to communicate messages of a designated type, and wherein the control plane is configured to communicate with a database server of the plurality of database servers using the plurality of data streams and the communication channel associated with the database server and the control plane.

The invention discloses a visual trajectory tracking system and method for a rain enhancement and hail suppression rocket projectile. The system comprises a trajectory tracking system, a data server and a GPS module carried by the rain enhancement and hail suppression rocket projectile. The GPS module transmits flight path data of the rain enhancement and hail suppression rocket projectile to the data server in real time; the trajectory tracking system calls the data in the database server in real time, retrieves and counts the data, and displays the flight state and the real-time trajectory curve of the rocket projectile on a system interface in a visual form by using the retrieved data; according to the invention, based on a mode of combining a theoretical model and actual data, the problem that no signal data cannot be transmitted back in time is solved, and an experiment verifies that a curve combined by actual theoretical data is matched with a curve of complete real-time data; a catalyst sowing path, a rocket projectile flight path and a rocket projectile wreckage drop point can be accurately positioned.

System and method for detecting the authenticity of products by detecting a unique chaotic signature. Photos of the products are taken at the plant and stored in a database / server. The server processes the images to detect for each authentic product a unique authentic signature which is the result of a manufacturing process, a process of nature etc. To detect whether the product is genuine or not at the store, the user / buyer may take a picture of the product and send it to the server (e.g. using an app installed on a portable device or the like). Upon receipt of the photo, the server may process the receive image in search for a pre-detected and / or pre-stored chaotic signature associated with an authentic product. The server may return a response to the user indicating the result of the search. A feedback mechanism may be included to guide the user to take a picture at a specific location of the product where the chaotic signature may exist.

The invention relates to an application that utilizes artificial intelligence to enhance project management in construction and repair industries. The system includes a user computing device, an application server, and a database server. The application server processes project data, including blueprints, to generate materials lists, integrates with online marketplaces to facilitate purchasing, and employs machine learning for product recommendations. The system also uses predictive analytics to forecast project deliveries and prevent backorders, while optimizing resource allocation through efficient supplier and material selection. The software application features an AI-powered chat, job planner, marketplace, and cart, providing a comprehensive platform for real-time collaboration among contractors, suppliers, and manufacturers. This innovation streamlines project workflows, reduces errors, and improves overall efficiency in managing construction and repair projects.

The invention relates to a colorectal cancer postoperative patient intelligent follow-up visit management system which comprises a center module composed of a B / S framework, a database server and a user interface and further comprises a patient information management module in shared connection with the center module. The system is further provided with a function module and a support module which are connected with the patient information management module. The function module comprises a follow-up plan making module, a multi-channel follow-up execution module, a rehabilitation evaluation module and a health propaganda and education module. The support module comprises a data statistics and analysis module, a medical resource coordination module and a family member support module. According to the intelligent follow-up visit management system, through the electronic patient information management module, a patient information database, a dynamic health file and a multi-terminal access function are set, and centralized management and real-time sharing of medical data are achieved.

A server system is communicatively connected to a plurality of computing devices and one or more databases. The server system receives one or more queries from a computing device. The one or more queries specify a data source. The server system determines a level of security applicable to a user of the computing device. The server system translates the one or more queries into one or more logical queries according to semantics of the data source, and transmits the logical queries to a query pipeline of the server system. The server system executes the one or more queries against a first database of the one or more databases to retrieve query results from the data source. The server system applies the determined level of security to the query results to obtain one or more data sets, and returns the one or more data sets to the computing device.

The embodiment of the invention provides an execution plan construction method and system.The execution plan construction method is applied to a database server and comprises the steps that pre-compiled statements of a database are obtained, and a parameter distribution histogram corresponding to the database is determined; extracting at least one parameter value from the pre-compiled statement, and determining interval information corresponding to each parameter value in the parameter distribution histogram; determining an execution plan type of each parameter value according to the interval information, constructing a target execution plan corresponding to the pre-compiled statement according to the execution plan type corresponding to each parameter value, and caching the target execution plan to a target linked list; and under the condition that an access request which is submitted for the database and is associated with the pre-compiled statement is received, reading the target execution plan in the target linked list to execute a data processing task corresponding to the access request.

Techniques are described for efficient transfer of large data type data (large data) among database servers for executing a distributed query. In an implementation, a database server receives object reference data, including an indication of whether the object reference data is a quasi-locator. The receipt of the quasi-locator indicates that the large data is to be streamed from the large database repository without any further request from the receiving database server. Accordingly, the receiving database server receives and stores the requested large data without generating and sending any further requests to the large data repository database server.

The invention belongs to the technical field of computer network monitoring and database management, and discloses a database fault prediction and autonomous recovery system and method and related equipment, and the method comprises the steps: collecting multi-dimensional performance indexes on a database server in real time, extracting time features of different scales through discrete wavelet transform, and constructing feature vectors; and dynamically calculating a fault prediction threshold by using a sliding window technology, and predicting a fault risk probability by using a multi-scale attention-enhanced LSTM model. And according to a prediction result, the system automatically executes an autonomous recovery strategy, high-precision prediction and autonomous recovery of database faults are realized, and the stability and service continuity of the system are improved.

The invention provides a gateway system and realization method for realizing REST access service based on transaction middleware, and the method comprises the steps: employing a distributed architecture for the transaction middleware, and enabling the transaction middleware to comprise an application interface layer, a service framework layer, a data access layer and a basic support layer from top to bottom; the application interface layer is used for packaging interaction among different modules, services or systems in the transaction middleware in a standardized mode; and the service framework layer is used for providing a network communication mode for the transaction middleware and realizing information interaction with an external system. The data access layer is used for processing various business data for the transaction middleware; the basic support layer is used for providing various types of hardware, networks, operating systems and database servers for a data service resource processing platform related to the transaction middleware and dispersed application clients. Wherein the service framework layer comprises a REST gateway, and the REST gateway is used for providing a REST access service mode to realize information interaction with an external system.

A system may include a memory having computer-readable instructions stored thereon, and a processor of a control plane that executes the computer-readable instructions to receive from a database server, over a first connection, a request for credentials, in response to the request for credentials, generate credentials for the database server, transmit the credentials to the database server over a second connection specific to the database server, receive, over the second connection, from the database server, a request for registering the database server, the request for registering the database server comprising the credentials, in response to the request for registering the database server, register the database server with a database management system associated with the control plane.

The invention discloses a rapid screening method for battery cells. The method comprises the following steps: 1) constructing an OCV attenuation database under different battery cell SOC and warehouse temperature T; 2) establishing a dynamic compensation model by using the attenuation database; 3) calculating a theoretical attenuation value delta OCVthetical of the battery cell through a dynamic compensation model, and comparing the theoretical attenuation value delta OCVthetical with an actually measured attenuation value delta OCVactual of the battery cell to judge abnormality; the invention further discloses a rapid screening system for the battery cells, the rapid screening system is used for achieving the method, and the rapid screening system comprises a temperature sensor, a voltage sensor, an SOC estimation module, an edge calculation terminal and a database server. According to the invention, the inventory cell detection cost can be significantly reduced, and reliable data support is provided for cell echelon utilization.

A system and method for generating a virtual asset wallet address blacklist database based on a graph attention network (GAT) are disclosed. A GAT AI engine server is configured to train a GAT-based AI model using an index of a full node for each virtual asset pre-stored in an index database server, common transaction item information pre-stored in a virtual asset transaction analysis database server, and a main blacklist consisting of high-risk virtual asset wallet addresses pre-stored in a main blacklist server, to calculate GAT scores based on the trained AI model, to estimate high-risk virtual asset wallet addresses using the calculated GAT scores, and to generate a GAT blacklist consisting of the estimated high-risk virtual asset wallet addresses; and a GAT blacklist database server is configured to store the GAT blacklists generated by the GAT AI engine server.

In one embodiment, a method includes obtaining, from a demand-side platform (DSP), impression data specifying service providers and consumer tokens representing consumers who have received digital impressions of a set of advertising campaigns. A set of tokenized claims data records related to a prescription of a product is then received from a database server. A result set of integrated measurement records specifying measured campaigns linking the tokenized claims data records with impression data associated with consumer tokens and / or service provider identifiers is further received from the database server. Aggregated analytics reports based on the integrated measurement records are generated and presented. A machine learning model may be trained using a training dataset comprising features selected from the impression data and tokenized claims data records, to predict bid values or other parameters for use in updating, optimizing or modifying operation of the DSP for the original campaign or for other campaigns.

Described herein is a biometric identification technique that includes a gateway computer receiving a first set of encrypted match scores and a set of enrollment biometric template identifiers associated with the first set of encrypted match scores from a first database server. The first set of encrypted match scores are decrypted to obtain a first set of match scores, and a subset of enrollment biometric template identifiers of the set of enrollment biometric template identifiers is determined based on a subset of match scores in the first set of match scores. The subset of enrollment biometric template identifiers is transmitted to a second database server, wherein the second database server is programmed to compare a second encrypted reference biometric template to encrypted enrollment biometric templates corresponding to the subset of enrollment biometric template identifiers and generate a second set of encrypted match scores.

The invention discloses a data encryption and search method and device, equipment and a medium, relates to the technical field of data security, is applied to a database agent, and comprises the following steps: encoding transaction amount plaintext data sent by a client by using an encoding function to obtain target encoded data; encrypting the target encoded data to obtain a corresponding target ciphertext, and sending the target ciphertext to a database server, so that the database server stores the target ciphertext to a cryptographic database; encrypting a search interval corresponding to the transaction amount plaintext data into a search interval of a target ciphertext; and determining an encryption mode of the target ciphertext, determining an identification serial number corresponding to the ciphertext meeting a preset search interval condition through the database server, the search interval of the target ciphertext and the encrypted state database according to the encryption mode, and returning a search result determined based on the identification serial number. Therefore, the retrieval efficiency and the system security are improved.

The embodiment of the invention discloses a resource allocation method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the following steps: in response to a received storage space adjustment instruction, obtaining a first mechanism user data set and a second mechanism user data set; determining first user coincidence information corresponding to each target institution identification group based on the first institution user data set; based on the first user coincidence information, updating the first mechanism user data set to obtain an updated first mechanism user data set; generating an updated second institution user data set based on the second institution user data set; generating a mechanism grading information set; detecting and processing the use information of the storage space of each mechanism to obtain a mechanism deployable storage space information set; generating a mechanism capacity expansion information set and a mechanism capacity reduction information set; and controlling the database server to adjust the storage space capacity of each mechanism. According to the embodiment, excessive occupation and waste of storage resources can be reduced.

The invention is suitable for the technical field of railway safety, and provides an intelligent and efficient railway signal centralized monitoring and maintenance system, a maintenance platform comprises a three-level networking architecture, and the three-level networking architecture comprises a national railway group level monitoring operation and maintenance subsystem, a bureau group company level monitoring operation and maintenance subsystem and a station level monitoring operation and maintenance subsystem. The national railway group level monitoring operation and maintenance subsystem deploys an active-active data center; the bureau group company-level monitoring operation and maintenance subsystem is configured with a dual-computer hot standby server cluster and comprises an acquisition and analysis unit, an application server and a database server; the station-level monitoring operation and maintenance subsystem is integrated with an edge computing node; the three stages are interconnected through a data communication network; according to the comprehensive maintenance platform of the railway signal centralized monitoring system, an integrated, intelligent and efficient operation and maintenance management system is constructed, comprehensive monitoring and precise maintenance of the railway signal system are achieved through the functions of real-time monitoring, fault early warning, intelligent diagnosis, decision support and the like, safe and stable operation of the railway signal system is ensured, and the service life of the railway signal system is prolonged. And the overall efficiency and service quality of railway operation are improved.

Method(s), apparatus, system(s) and platform(s) are provided for operating a personal data management component (PDMC) and provisioning / operating a personal database server (PDS) for a user in a personal database management (PDM) platform. The PDM platform comprising the PDMC communicatively coupled to a plurality of PDSs provisioned for one or more of a plurality of users. Each PDS configured for storing and exchanging personal data controlled by said corresponding user. The PDM platform communicates over a communication network with a plurality of applications. Each application is configured for providing an application service requiring access to personal data of one or more of the plurality of user(s). Provisioning a PDS for a user includes: receiving a request for creating a PDS for a user of the plurality of users; creating a PDS for the user based on scalable computing infrastructure, where the PDS is configured for a user to control automatic storage and exchange of personal data of the user with one or more of the applications; registering data representative of the user and PDS of the user; providing a PDS identifier to the user for enabling an application to store and access personal data in the PDS of the user based on personal data access control information of the application.

The invention provides a method for performing data processing on a plurality of list sets by using SQL statements. The method comprises the following steps of S1, receiving request parameters and verifying the request parameters; s2, storing the data in the list set into a user-defined memory database; s3, checking the SQL statement; s4, the SQL statement is analyzed, and SELECT information is obtained; s5, a SELECT statement in the SELECT information is analyzed, and SQL grammar information is obtained; s6, processing the data according to the SQL grammar information; s7, returning final result data; the problem that data processing of multiple List list sets is difficult is solved, connection with a database server is not needed based on a flexible data processing mode of the SQL language and a mode of creating the user-defined memory database, the database security problem does not exist, high concurrency is supported, efficiency is improved, complex data processing is achieved, and the method is suitable for large-scale popularization and application. SQL statements are modified and updated at any time according to requirements, and time and labor are

Aspects of the subject disclosure may include, for example, receiving from a database server via a network, a reduced size set of quantile samples of a plurality of variables associated with a dynamic system, wherein the reduced size set of quantile samples is based on a standard set of quantile samples, wherein the standard set of quantile samples comprises M quantile samples based on dividing each distribution of the plurality of variables into 1 / M probability steps, and wherein the reduced size set of quantile samples comprises N quantile samples based on dividing each distribution of the plurality of variables into 1 / N probability steps, performing a plurality of linear interpolations upon the reduced size set of quantile samples to a restored size set of quantile samples, performing a Monte Carlo simulation using the restored size set of quantile samples to generate a simulation result, and transmitting the simulation result to a client device. Other embodiments are disclosed.