168 results about "Recordset" patented technology

The invention belongs to the technical field of intelligent document processing, and discloses an intelligent data processing method for collected files based on artificial intelligence, which comprises the following steps: acquiring a multi-source multi-version file to carry out layout rectification and OCR (Optical Character Recognition) to obtain a page fragment object set; using a controlled decoding language model to extract clause records according to preset Schema to form a clause record set; performing cross-version alignment on homonymous or synonymous terms, and constructing a time sequence knowledge graph; compiling the cross-document consistency rule into an executable rule set which can be evaluated on the time sequence knowledge graph by adopting an executable collection constraint language; evaluating the scope of action of each rule to generate conflict candidates; and calculating a minimum hit set to obtain a minimum conflict interpretation set, positioning a root cause term instance, and generating a minimum repair suggestion according to a normalization result of the operator and the node violating the rule. According to the method, the unification of clauses and calibers and the automatic judgment of the latest effective state, the accurate positioning of conflicts and the minimum cost repair are realized.

Systems and methods disclosed herein automatically register, monitor, and authenticate distributed artificial intelligence (AI) agents and their operational contexts using a distributed or federated ledger-based agent knowledge registry. The system obtains a registration or query request (e.g., from an AI agent, orchestrator, or user interface) to identify or store operational context linked to each AI-based agent. The system determines a feature set of agent metadata and operational parameters using a first AI model set, and dynamically generates a cryptographically verifiable registry record set using a second AI model set (same as or different from the first AI model set) based on the operational feature set, to be stored in a distributed ledger database. The system automatically executes registry updating, agent selection, or operational verification workflows using a third AI model set (same as or different from the first and / or second AI model sets) to maintain records that trace inter-agent interactions.

The invention discloses a quality monitoring abnormity positioning method and system for multi-source heterogeneous media data, and particularly relates to the technical field of quality monitoring of the multi-source heterogeneous media data.The method comprises the steps that through access and time base normalization, sources such as RTSP, HLS / DASH, offline files and message buses are mapped to a unified time reference, and out-of-order rearrangement and late cutting are carried out; basic quality elements are extracted from A / V / S in a sliding window, a dynamic threshold value is formed by adopting a trimming mean value and a median absolute deviation, and a window-level quality event is generated; using event anchor points as common reference to estimate cross-modal time delay and fuse evidences, outputting scene / mode labels by means of a lightweight online classifier, entering a confidence reduction mode when the evidences are missing, and outputting an availability bitmap and a reason code; and then event confirmation, time-space range refinement and hierarchical root cause posterior determination are completed, influence measurement and priority are calculated, and finally an anomaly positioning and root cause analysis record set including an event timeline, severity / influence degree, root causes and disposal suggestions is formed.

The invention provides a product scheme PPT automatic generation method, system and device and a medium, and belongs to the technical field of artificial intelligence. The method comprises the steps that product demand information is collected, an NLP tool is called for entity recognition and relation extraction, and a demand feature vector is generated; based on a MySQL database, retrieval is performed according to the demand feature vector, a structured record set is returned, and an associated document ID is obtained; based on a Milvus vector database, retrieval is carried out according to the demand feature vectors, and an unstructured document fragment set is returned; filtering the unstructured document fragment set according to the document ID, retrieving the unstructured document fragment set by adopting a mixed strategy of a BM25 algorithm and semantic retrieval, comprehensively sequencing retrieval results through a weighted scoring mechanism, and generating a final content fragment set; and calling a PPT template according to user requirements, and filling the final content fragment set into the PPT template to generate a PPT draft file.

The embodiment of the invention provides a data query method and device based on multi-agent iteration, and relates to the technical field of data query. The method comprises the steps that through iterative analysis of a decomposition agent and an optimization agent, a user question text is decomposed, and a plurality of corresponding sub-target query statements are generated; retrieving in a query database based on the plurality of sub-target query statements to generate a first talent information record set; vectorizing the user question text to obtain a question text feature vector, and obtaining a second talent information record from a vector query library based on the question text feature vector to generate a second talent information record set; talent information records in the first talent information record set and the second talent information record set are matched and fused, a target comprehensive talent information record set is obtained, and a query result corresponding to the user question text is obtained. The talent recommendation method and device are used for improving talent recommendation efficiency and accuracy, and meanwhile computing resource consumption is reduced.

The invention discloses a query statement reconstruction method and device based on artificial intelligence, equipment and a medium, and relates to the technical field of natural language processing, and the method comprises the following steps: obtaining a current query statement input by a user and a historical interaction record; calculating a semantic association degree between the current query statement and each historical interaction record; performing descending sort according to the semantic association degree corresponding to each historical interaction record to obtain a historical interaction record sequence; historical interaction records are sequentially selected from the starting end of the historical interaction record sequence to serve as target historical interaction records, and when a preset selection stopping condition is met, a target historical interaction record set is constructed based on all the selected target historical interaction records; and inputting the current query statement and the target historical interaction record set into the query statement reconstruction large model, so that the query statement reconstruction large model outputs a reconstructed query statement corresponding to the current query statement. According to the scheme, the real intention of the user can be accurately restored, and the accuracy of querying the hit content is improved.

The invention relates to the field of data processing, and discloses a customer feedback multi-source data cleaning and KPI pre-calculation system. Comprising a display terminal and a platform server. The platform server generates an import batch number for client feedback data from at least two types of data sources, completes mapping from a source field to a uniform field, and performs format normalization, deletion processing, logic consistency verification and duplicate removal and disambiguation on a uniform record set to obtain a cleaned record set; determining hierarchy affiliation based on the dealer hierarchy relationship; pre-calculation is carried out according to KPI aperture configuration, a pre-calculation result is stored according to time partitions and dimension keys, and meanwhile, an import batch number and an index version identifier are bound to generate an aperture identifier; and responding to the query request and returning a matched KPI result to the display terminal for display.

The invention provides a green construction building digital management system and method, and relates to the technical field of digital management. The system performs format unification and numerical value standardization processing on the original records to generate a preliminary record set associated with the process information; uniquely affiliating the record to a corresponding process according to the process time interval and the resource list to form a process record sequence; establishing cross-process one-way time association, and forming a deterministic mapping relation between previous and next process records; a three-section increment generation method is adopted to calculate a process resource usage amount, a weight group is generated by extracting a source attribute, a time continuous attribute and a preorder process inheritance attribute, weighted operation is carried out by combining a recorded numerical value, a time difference and a numerical value difference to obtain increment contribution, and finally accumulation is carried out to obtain a total process usage amount. And irreversible forward transmission of the resource usage amount along the process sequence is supported. According to the system, accurate calculation and dynamic management of resource loads in the construction process are realized.

Malware activity detection for networked computing systems is described. A network session record is provided to a machine learning (ML) model configured to generate an indication of whether the provided network session record evidences malware activity. The network session record indicates network traffic activity in a time period. Responsive to an indication by the ML model, correlation scores are calculated by, for each process session record in a process session record set, calculating a correlation score indicative of a correlation between the provided network session record and the process session record. Each process session record in the process session record set corresponds to a process executed by a computing device in the time period. A determination that a correlation score indicates a corresponding process session record is indicative of the evidenced malware activity is made. Responsive to the determination, a malware activity alert is generated.

The invention relates to the technical field of engineering project management, and discloses an engineering project progress and resource collaborative management system based on a cloud platform. According to the system, a progress main sequence is generated by collecting progress data, and resource information is recorded in real time to generate a resource circulation record set. The system extracts progress key nodes and corresponding resource consumption wave crest features and performs time alignment verification to generate preliminary cooperation deviation information; and the system inputs the information into a collaborative deduction model, and carries out parallel simulation on the subsequent progress and the resource demand to obtain a future collaborative deduction picture. The system analyzes on-site image data according to the image, obtains actual cooperative state parameters, and generates a management conclusion for adjusting subsequent plans and resource allocation by comparing the actual cooperative state parameters with deduced images. According to the invention, dynamic accurate diagnosis and look-ahead closed-loop regulation and control of the progress and resource coordination state are realized.

The invention relates to the field of network and host data dynamic protection, in particular to a dynamic protection method fusing network and host data. The method comprises the following steps: acquiring a strategy version recording structure, a network acquisition node list and a host end acquisition agent list, performing session number registration, acquisition task issuing and timestamp alignment registration processing, and generating a two-dimensional acquisition data packet structure; performing data packet primary key alignment, field normalization and missing detection marking processing to generate a structured log record set structure; performing score item registration, protocol risk annotation generation, weighted score synthesis and grading rule matching processing, and generating an abnormal judgment score record structure; and finally, performing firewall rule write-in registration, object group binding registration of the deny, rollback condition verification and audit log filing processing, and generating a policy version recording structure. According to the invention, by fusing the network and the host data, dynamic and accurate anomaly detection and automatic protection can be realized, and the real-time performance and reliability of safety response are improved.

The invention discloses a recommendation question generation method and system, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence and intelligent question answering. Comprising the following steps: collecting a session record set containing retrieval knowledge fragments of a user; based on session records in a specified time window, aggregating according to knowledge files and calculating a hot index to form a candidate knowledge file list; traversing the candidate knowledge file list, and generating candidate recommendation questions by using a large language model; extracting a professional label sequence concerned by the user, and constructing professional trend description in combination with the organization description; in response to a new session initiated by the target user, screening a personalized first recommendation question from the candidate recommendation questions; establishing a session in response to the user selecting the first recommended question or the autonomously input question; and providing an answer in the session by adopting a retrieval enhancement generation technology, and generating a new second recommendation question in real time based on the context. The question recommendation relevance and the user experience of the intelligent question-answering system in the professional field are effectively improved.

The application relates to the technical field of data privacy protection, in particular to a data privacy protection method and system for a digital campus, which comprises the following steps: obtaining a digital campus data set to be processed; determining the preliminary sensitivity of a data item according to the occurrence frequency of each value in the data item, and performing k-anonymity processing based on the preliminary sensitivity to obtain a preliminary anonymized data set; determining a first record number according to the value on all data items; for each data item, determining a second record number according to the record set with the same value on all data items except the data item, and determining the deepened sensitivity of the data item according to the preliminary sensitivity of the data item, the first record number and the second record number; determining the data item to be deepened according to the deepened sensitivity of each data item, and performing further k-anonymity processing on the data item to be deepened to generate a final anonymized data set. The application improves the privacy protection reliability of multi-source data of the digital campus.

A database system receives a database language query specifying a grouping clause and one or more aggregate result values. The database system generates a pre-aggregation table based on the query. The database system generates an ingest query configured to generate data for populating the pre-aggregation table and a completion query configured to processes data stored in the pre-aggregation table. The database system periodically receives a set of input records and executes the ingest query to generate a set of pre-aggregation records. The set of pre-aggregation records are combined with the pre-aggregation table. The database system executes the completion query on the data stored in the pre-aggregation table to generate a result set and sends the generated result set to the requestor of the results.

A database system operates by: receiving a set of records for storage; applying a replication factor dictated by the required fault tolerance level to generate a set of replicas of the set of records; temporarily storing the set of replicas in a temporary ingress storage system during a first temporal period in accordance with the required fault tolerance level; generating a plurality of redundancy-coded segments that encodes the set of record utilizing a redundancy storage coding scheme dictated by the required fault tolerance level; and migrating the set of records from the temporary ingress storage system to a long-term storage system by storing the set of segments in the long-term storage system and by removing the set of replicas from the temporary ingress storage system.

The application provides a master-slave domain name identification method and device based on a dynamic sliding window, comprising: acquiring DNS request records on the boundary of a managed network, dividing the DNS request records into multiple user request record sets based on source IP addresses, determining the request sequences corresponding to each service request of each user based on the request record sets of each user; acquiring the total number of DNS requests in a preset area and the time period length of the time period of DNS request statistics, calculating the network traffic density based on the total number of DNS requests, the time period length and the preset area size; acquiring the total number of time periods of DNS request statistics, calculating a dynamic time threshold based on the network traffic density corresponding to each time period and the total number of time periods; obtaining at least part of the DNS requests in each request sequence to obtain each request sub-sequence by taking the dynamic time threshold as a dynamic sliding window, and determining the master domain name and the slave domain name of each service based on each request sub-sequence. The master-slave domain name identification method improves the identification accuracy of master-slave domain names.

The application discloses a kind of intelligentized power plant header tee replacement methods, belong to header tee replacement field, the replacement method specific steps are as follows: (1) collection header tee image information and constructs its three-dimensional pipe system model;(2) real-time reception header tee measurement information and carries out fracture mark;(3) on header tee production welding bevel and with new processing header are matched;(4) by welding bevel two groups of header tee are carried out welding fixation;(5) record header tee replacement information and carry out block storage;The application does not need staff to manually analyze header tee fracture position, can efficiently and accurately process detection data, improve work efficiency, reduce overhaul length, improve staff use experience, can satisfy decentralization demand, reduce data processing energy consumption, improve data processing efficiency, improve staff data retrieval efficiency, while guaranteeing data security, prevent malicious tampering.

Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.

Distributed media content history and preferences can be stored and maintained by media playback systems including one or more blockchain-capable playback devices. Content record sets, such as content experience record sets and content network record sets, can be stored via distributed ledgers and updated at least in part based on media consumption events performed or detected by playback devices, service providers, or other participants. Such distributed data can also be accessed to facilitate playback of media content for particular users, devices, households, or environments.

A store and compute sub-system of a database system includes a plurality of computing device clusters, wherein a first computing device cluster includes a first set of computing devices that is operably coupled to receive a query regarding a plurality of records of a dataset. The query includes a filtering parameter, wherein the plurality of records is stored as a multitude of data objects within memory of the first set of computing devices and configuration data includes data regarding mapping of sets of records to data objects. Based on the configuration data and the filtering parameter, the system identifies the data objects that include at least one record that satisfies the filtering parameter data to produce identified data objects. From the identified data objects, the system identifies records that satisfy the filtering parameter and executes at least a portion of the query on the identified records to produce a first query response.

The invention discloses a computing power identification method and device. A three-section CPI including an NID, a GID and an RID is constructed, and cross-domain uniqueness, man-machine readability and version traceability are realized. A record set containing cross links from the DNS plane to the DID plane is issued on the DNS plane, and data support is provided for subsequent rapid discovery and parameter issuing. A DID document containing verifiable identity and certificate metadata is published on a DID plane, and strong consistency of identity verification and certificate verification is achieved. And responding to the access request, skipping to the DID plane on the DNS plane based on the cross link, and allowing or rejecting the access request according to a verification result of the DID document. The compatibility of the existing network is kept, the requirements of the computing power network for high-performance discovery, strong identity trust, compliance auditing and multi-lease metering are considered, and a unified computing power resource identifier which is unique in cross-domain and can be verified by encryption is provided. Global uniqueness, cross-internet mutual recognition and credible docking are realized, and interoperability is improved.

The application discloses a knowledge base question answering method and device, computer equipment and a storage medium. The method comprises the following steps: in response to a user query, extracting a structured query element corresponding to a preset query dimension; the preset query dimension at least comprises a domain keyword; based on the structured query element, searching in a preset knowledge base to obtain a candidate knowledge record set; the preset knowledge base comprises a plurality of knowledge records, and each knowledge record at least comprises an identifier field and a domain keyword field, and each identifier is associated with a semantic vector generated based on the content of the corresponding knowledge record; encoding the user query into a query vector, and performing similarity matching between the query vector and the semantic vector associated with the identifier of each knowledge record in the candidate knowledge record set; and filtering a target knowledge record set from the candidate knowledge record set according to the matching result, and generating an answer corresponding to the user query based on the target knowledge record set. Thus, the accuracy of the answer is improved.

The invention discloses a bill cross-chain intercommunication system and method based on a heterogeneous block chain, and relates to the technical field of block chains, and the method comprises the steps: extracting a target record of an electronic bill, obtaining current to-be-cross-chain information, and obtaining a record set corresponding to the to-be-cross-chain information; extracting all elements in the to-be-cross-chain information, and obtaining verification elements in the to-be-cross-chain information according to the element value change condition of each element before and after the corresponding cross-chain of the target record; all influence factors in the bill cross-chain process are extracted, and feature influence factors and feature functions corresponding to all verification elements are obtained; and calculating an early warning value of the current to-be-cross-chain information, and according to the early warning value, judging whether to carry out early warning prompt on the to-be-cross-chain information and optimize the cross-chain process. According to the method, the target record is extracted and analyzed, the early warning value of the current to-be-cross-chain information is calculated, and the to-be-cross-chain information is prompted and the cross-chain process is optimized in time according to the early warning condition, so that the reliability of the bill cross-chain intercommunication process is ensured.

The invention discloses an authoritative DNS configuration abnormity identification method and device, electronic equipment and a storage medium. Comprising the steps that recursive DNS memory snapshot data are acquired, and the recursive DNS memory snapshot data comprise at least one group of resource record sets; performing key field information extraction and structured processing on the at least one group of resource record sets to obtain a structured processing result, and storing the structured processing result to a target database; and performing abnormal domain name judgment based on the target database according to a preset abnormal domain name judgment rule, and determining an authoritative DNS configuration abnormality recognition result. According to the scheme, the recursive DNS memory snapshot data is analyzed, and the analysis result is subjected to structured processing and stored in the target database, so that the authenticity, timeliness and structuralization of the analysis data are ensured, full-amount data query can be quickly performed according to the target database, it is ensured that the authoritative DNS configuration exception covers the full-amount domain name and the authorized DNS, and the data query efficiency is improved. The accuracy and the high efficiency of an authoritative DNS configuration abnormity identification result are improved.

The application relates to the technical field of network security, and particularly relates to an information data security sharing method based on network security, which solves the technical problem that the reliability of information data security sharing cannot be guaranteed under the extreme working condition of CPU computing resource exhaustion in the prior art. The method comprises the following steps: in response to the edge gateway being in a computing congestion state, triggering a degraded verification mode, and obtaining a driving layer arrival record set of each to-be-verified terminal; for each to-be-verified terminal, performing physical feature decoupling analysis based on the driving layer arrival record set of the to-be-verified terminal, and obtaining a hardware constraint confidence value of the to-be-verified terminal; the hardware constraint confidence value is used for representing the credibility of the to-be-verified terminal being a real device subject to physical hardware constraints; constructing an access control strategy based on the hardware constraint confidence values of the to-be-verified terminals, and configuring the data sharing access state of each to-be-verified terminal based on the access control strategy.

This invention discloses a detection task management method and system based on a LIMS system, relating to the field of task management technology. The method includes: generating historical branch records based on an audit trail record set of the target sample, and sorting the historical branch records to obtain a record sequence; filtering the record sequence for previous branches based on rule configuration data from the LIMS system to obtain a set of previous branch records, and marking the previous branch record set with restrictions to obtain a set of previous branch restriction marks; obtaining a reverse branch suppression graph based on the record sequence; constructing an ant colony search edge set based on the set of previous branch restriction marks and the reverse branch suppression graph; and determining the target edge based on the edge pheromone set and edge heuristic value set determined by the ant colony search edge set. This invention improves the standardization and reliability of the detection process.

The invention relates to an OTA upgrading strategy decision-making method and system for a vehicle grouping set. The method comprises the following steps: acquiring a historical upgrade record set of each vehicle in a target vehicle set, wherein the historical upgrade record set comprises various upgrade mode records and information such as total upgrade duration and network state; obtaining an upgrade task and identifying a service target; according to the target and historical records, multi-dimensional evaluation is carried out, according to evaluation, weights are dynamically configured for dimensions such as cost and utility to form a model, comprehensive evaluation scores of all candidate upgrading modes are calculated, and an analysis result is obtained; and finally, according to the recommended upgrading strategies, classifying the vehicles with the same recommended upgrading strategies into the same group, and generating at least one upgrading task group. The system comprises corresponding function modules. Based on historical data and dynamic weights, the optimal recommendation upgrading strategy of the vehicle can be intelligently decided, and efficient grouping is realized, so that the upgrading efficiency is optimized, the resource consumption is reduced, and the success rate is improved.

The application provides a masterbatch production process record method and system applied to quality tracing, relates to the computer technology field, and first acquires an initial process event record set of multiple production process nodes of a masterbatch production line, generates a production process event flow data set through production process event flow reconstruction processing; then calls a production material batch tracking model to analyze a material flow path, and constructs a material batch flow link diagram; then binds production equipment operation state records to the flow nodes, and generates equipment operation state parameter sequences; finally, generates a masterbatch production process tracing record set according to the material batch flow link diagram and the equipment operation state parameter sequences, and stores the masterbatch production process tracing record set to a tracing database, so that the masterbatch production process tracing record set can be called for subsequent quality tracing query, and efficient and accurate quality tracing is realized.

This application provides a method, apparatus, and device for preventing deadlocks in batch data writing based on primary key ordering. The method involves extracting the primary key and normalizing its type from the set of records to be written to generate a normalized primary key string; performing primary key ordering sorting based on the normalized primary key string to generate a logically ordered record sequence; performing intelligent batch sharding on the logically ordered record sequence to generate sharded record batches; and performing batch data writing based on the sharded record batches according to their ordered arrangement, while also implementing adaptive concurrency adjustment and backoff retries. This scheme, by forcing all concurrent transactions to acquire locks in a completely consistent order, mathematically breaks the circular wait condition that leads to deadlocks, reducing the deadlock rate to an extremely low level and improving data processing throughput and system stability in high-concurrency scenarios.

This invention proposes an information-based engineering supervision method and system based on big data. The method includes: acquiring a set of supervision record data and engineering stage identifier data; based on the engineering stage identifier, generation timestamp, and record type of each supervision record, combined with the boundaries, order, and allowed record types of the engineering stages, selecting records that meet the conditions of stage consistency and prior existence to form a set of usable supervision records; merging records according to the order of engineering stages, and sorting them according to timestamp and record identifier within each stage to construct a supervision process representation structure; based on this structure, performing coverage and order consistency checks on the set of necessary engineering stages corresponding to the target supervision conclusion, generating a determination result of the validity of the supervision conclusion; and outputting the engineering supervision handling status accordingly, controlling the progress or locking of engineering stages, and improving the automation and traceability of supervision.