267 results about "Calculated result" patented technology

The invention provides a credible sharing method and system for multi-party industrial data, and relates to the technical field of data processing, and the method comprises the steps that multiple participants encrypt local industrial data through a credible execution space, and generate encrypted data and corresponding data fingerprints; defining a data access rule based on the smart contract; verifying and auditing the data access request, and obtaining an encrypted data authorization certificate after verification and auditing; and under the federated learning framework, the trusted execution space of each data provider executes the privacy calculation task based on the authorization certificate, and outputs a task calculation result and sends the task calculation result to the task requester. According to the method and the device, the technical problem of privacy risk of data leakage or tampering caused by contradiction between multi-party industrial data sharing and privacy protection is solved, the privacy can still be ensured while data sharing is ensured through federated learning and trusted execution space, and the security and the credibility of data sharing are improved.

The invention relates to the technical field of data linkage calculation, and provides a multistage document dependent freight trial calculation data linkage calculation method and system, and the method comprises the steps: expanding the attribute of a document node from a single business field to a composite vector containing a spatial-temporal feature through time information and geographic identification spatial-temporal dimension modeling; the dependency graph can capture the fine-grained dependency relationship of the freight service, and the space-time accuracy of data linkage is improved; when the basic information or the document information changes, the priority and the calculation path of the task queue are updated in real time through deep reinforcement learning, and calculation errors caused by change lag are avoided; through tensor synthesis operation, parallel subtask division, and a dual verification mechanism of a domain knowledge graph and a forced dependency edge, it is ensured that the whole process from dependency graph construction to calculation result output conforms to industry specifications, and the compliance and risk control ability of freight services are significantly improved.

The invention discloses an abnormal data positioning method and device, equipment, a program product and a storage medium, belongs to the field of redundant arrays of independent disks, is used for positioning a disk where abnormal data is located in a stripe, and solves the problem that the disk where the abnormal data is located cannot be positioned. In consideration of the fact that in a target stripe with abnormal data, if a check chain with a zero calculation result exists, it is indicated that each business data block is normal, and at the moment, a disk corresponding to a check chain with a non-zero calculation result is a disk where the abnormal data is located, so that the target stripe with the abnormal data can be subjected to the non-zero calculation, and the abnormal data can be stored in the target stripe. According to the method and the device, the check chain calculation result of each check chain is determined, and if the check chain calculation result part is zero, the disk corresponding to the check chain of which the calculation result is not zero can be used as the disk where the abnormal data is located, so that the disk where the abnormal data is located can be efficiently and accurately positioned, the abnormal data can be conveniently recovered, and the user experience is improved.

The invention discloses a heterogeneous marketing strategy evaluation method based on payment transaction data, and relates to the technical field of causal inference. The method comprises the following steps: constructing a data table between merchant transactions and operation conditions according to payment transaction data of merchants; the data table comprises observation data corresponding to a covariable, a processing variable, a tool variable and a result variable; constructing a first estimator and a second estimator according to the observation data of the covariable, the tool variable and the processing variable; according to all the observation variables, the first estimator and the second estimator, obtaining a third estimator used for representing a real condition average processing effect; inputting the covariable data of the to-be-evaluated merchant into a third estimator to obtain a real condition average processing effect calculation result; the real condition average processing effect calculation result is used for representing the influence of the stored value marketing activity on the operation condition of the merchant belonging to the corresponding operation classification. According to the method, the influence of invalid tool variables in marketing strategy evaluation can be solved.

The invention relates to the technical field of confidential computing, and discloses a data credibility-oriented vehicle-mounted integrated security computing system and credibility construction method, which comprises the following steps of: establishing a static trust chain by using a hardware trust root, shielding external interruption in a credible execution environment, and controlling a performance monitoring unit; synchronously collecting real-time hardware micro-architecture events of the key business algorithm to generate a runtime feature vector; according to the method, the instruction stream during operation is anchored by utilizing the physical characteristics of the micro-architecture, the hijacking attack of the control stream is accurately identified in a ciphertext environment, the hijacking attack of the control stream is accurately identified, the hijacking attack of the control stream is accurately identified, the hijacking attack is accurately identified, and the hijacking attack of the control stream is accurately identified. Strong coupling verification of a calculation result and an execution behavior is realized, and logic safety of a vehicle-mounted platform is ensured.

The invention relates to the technical field of databases, and particularly provides a streaming computing method and device for a distributed database, and the method comprises the following steps: S1, receiving time sequence data change captured by a CDC component in real time, and storing the time sequence data change in a local cache; s2, performing stream aggregation calculation of stream calculation; s3, receiving a calculation result of stream calculation, converting a result set into a target table compatible format, and writing data into a target table by using an internal actuator; s4, processing existing historical data during stream calculation creation, breakpoint data generated during a stream calculation pause period and expired data exceeding a time sequence data out-of-order window; and S5, managing the life cycle of the flow calculation in the distributed database cluster. Compared with the prior art, the method has the advantages that the streaming calculation of the time series data of the database can be efficiently completed, the recalculation of the window split data is efficiently completed by using the streaming calculation recalculation module, and the performance attenuation is within 15% of the original storage performance.

The invention discloses a secure multi-party computing method and system based on secret sharing, and relates to the technical field of information security, and the method comprises the steps: obtaining original computing data, and dividing the original computing data into a plurality of data fragments; homomorphic encryption and symmetric encryption are respectively and sequentially carried out based on all the data fragments to obtain a plurality of layered encryption fragments; generating a random mask value and correspondingly binding the random mask value with the layered encryption fragment to obtain a final encryption fragment; based on all the final encryption fragments, distributing the final encryption fragments to each computing node for security computing, and correspondingly obtaining an intermediate result and a corresponding zero-knowledge proof; performing verification based on all zero-knowledge proof, and aggregating corresponding intermediate results based on verification results to generate an encryption calculation result; and decrypting based on the encrypted calculation result to obtain a plaintext calculation result. And the calculation efficiency is improved on the basis of ensuring the safety of the calculation data.

The invention belongs to the technical field of artificial intelligence, and relates to an LSH-based retrieval enhancement generation method and device, equipment and a storage medium thereof. Carrying out serialization processing; sampling processing is carried out through the vector space model, and high-dimensional embedded vector representation is generated; inputting the high-dimensional embedded vector representation into a vector database, and carrying out matching calculation; carrying out binary code valuation conversion on a matching calculation result by adopting an LSH algorithm to obtain binary code values corresponding to all the retrieved texts after conversion; according to the binary code value, an expected retrieved text is screened out; combining and sorting the retrieval input text and the expected retrieved text to generate a to-be-enhanced text; and inputting the text to be enhanced into the text enhancement generator to generate an enhanced retrieval feedback text. The method is applied to webpage search, question and answer systems and recommendation system scenes in the field of financial services or medical services, and a faster and more accurate retrieval feedback result is provided for retrieval personnel.

The invention provides an electricity market bidding strategy optimization method, system and device and a medium, and belongs to the technical field of electricity market transaction. The method comprises the following steps: acquiring public data of a power market, performing structured processing, extracting key information, and generating power market data; establishing a data optimization prediction model, and predicting the electricity price, the power demand load, the supply load, the enterprise power consumption cost and the power consumption at the future moment based on the power market data; receiving and configuring risk preference parameters input by a user, and generating an enterprise feature configuration file; sequentially calculating a market supply and demand influence factor, a real-time transaction price deviation degree, a reference income fluctuation value and a risk constraint term, and generating a final premium proportion based on a calculation result; on the basis of the final premium proportion, determining a bidding price at a future moment, constructing an objective function to optimize the bidding cost, solving an optimal premium proportion sequence and generating a bidding plan; and monitoring the income fluctuation rate in real time, triggering a feedback mechanism, and updating data.

The invention discloses a TEE-GPU collaborative model credible training method and device based on parameter confusion, and the method comprises the steps: enabling a client to encrypt training data and a model architecture in a preprocessing stage, and uploading the encrypted training data and model architecture to a server; and the trusted execution environment of the server side decrypts the model architecture, carries out confusion processing on a linear layer and then deploys the linear layer on an external GPU (Graphics Processing Unit). In the training stage, initial forward propagation calculation of training data is firstly completed in the TEE, and then intermediate results are confused and then transmitted to the GPU so as to execute subsequent forward propagation calculation. In the back propagation process, extra confusion is applied to the gradient by the TEE, and the gradient is issued to the GPU to calculate a new gradient; and after receiving the confusion gradient, the GPU updates the parameters in a confusion form. And randomly sampling calculation data in the TEE, and carrying out integrity verification to ensure the integrity of a calculation result. Compared with an existing credible training scheme, the method has the advantages that the time overhead can be remarkably reduced while the calculation accuracy, integrity and privacy of the model are ensured.

The invention discloses a decentralized unmanned aerial vehicle group data contribution degree Shapley consensus method based on block chain multi-chain cooperation, and the method comprises the steps: constructing a block chain which comprises a main chain layer, a side chain layer and a main-side chain interaction layer, and carrying out the decentralized data contribution degree evaluation process through the block chain. The method is divided into five stages of task release initialization, decentralized data sharing execution, data access, data contribution degree evaluation and calculation result sending. The method can be well used for large-scale cooperation of the unmanned aerial vehicle and data contribution degree evaluation under data sharing, the transaction processing speed is high, popularization and data sharing are facilitated, cost reduction and efficiency improvement are achieved for business, large-scale cooperation of the unmanned aerial vehicle can be better applied to various scenes, overall planning and supervision are facilitated, potential safety hazards are reduced, and the method is suitable for popularization and application. And the application of the unmanned aerial vehicle is simplified.

The embodiment of the invention provides a financial settlement method and device, electronic equipment, a storage medium and a product, and belongs to the technical field of data processing. The method comprises the steps of obtaining identification information corresponding to a plurality of financial data tables required for calculating a to-be-settled task, and generating a plurality of sub-tasks; the plurality of subtasks are used for redistributing a plurality of financial data tables to the plurality of computing nodes; sequentially executing the plurality of sub-tasks in the plurality of computing nodes according to the priority of each sub-task, stopping executing the uncompleted sub-tasks under the condition that an execution result meets a broadcast threshold and the execution result meets a preset computing rule, and broadcasting the execution result to all the computing nodes; the preset calculation rule is determined according to the to-be-settled task; and performing associated calculation operation on any one of the plurality of calculation nodes to obtain a target calculation result corresponding to the to-be-settled task. According to the embodiment of the invention, the settlement efficiency of financial settlement can be improved.

The invention provides an enterprise operation cost analysis method and device based on privacy calculation, equipment and a medium, and belongs to the technical field of data processing.The method comprises the steps that an enterprise data source is determined, and a data collection interface is set to collect, pre-process and encrypt service data; constructing a privacy computing platform, wherein each data source and the privacy computing platform construct a unified enterprise operation cost analysis basic model through a federal learning mode; carrying out encryption calculation among the data sources in a multi-party security calculation mode, and uploading an encryption calculation result to the privacy calculation platform; and the unified enterprise operation cost analysis basic model is optimized by using the encrypted calculation result on the privacy calculation platform, then the optimized unified enterprise operation cost analysis basic model is used for enterprise operation privacy calculation, and different viewing permissions are set for the enterprise operation privacy calculation result. According to the method, the enterprise data privacy is fully protected, and the accuracy and efficiency of operating cost analysis are improved.

The invention discloses a government affair data information monitoring method based on a government affair data monitoring model, and relates to the technical field of data monitoring. Comprising the steps of 1, formulating a unified data exchange interface standard according to different data structures of an online government affair system; 2, according to different data structures of an online government affair system, government affair data types are classified, and each type of government affair data is converted into a flat structure; 3, creating a government affair data monitoring model, and 4, creating a synchronization scheme of different types of government affair data to the government affair data monitoring model based on the data exchange interface, and executing data synchronization according to the synchronization scheme; and 5, based on the government affair data synchronized to the government affair data supervision model and different supervision points, performing data supervision calculation and supervision result storage by using the calculation model in combination with a supervision rule, and performing query and statistical operation on the supervision data through the government affair data supervision model in combination with each calculation result and supervision result.

The invention provides a dynamic closed-loop optimization-based calculation and network integrated arrangement system oriented to time delay sensitive services. The system comprises a resource scheduling layer, a data layer and user equipment, the resource scheduling layer collects computing network resource information and user service demand information through a controller, constructs a computing network resource symbiosis diagram according to the collected information, and uniformly schedules switches and computing power nodes in the network; the data layer receives a user service request sent by the user equipment, provides a computing power service for the user service request through the computing power cluster by using the computing network resource symbiosis graph, and returns computing result data to the user equipment through a network; and the user equipment is used for sending a user service request to the data layer, receiving the calculation result data issued by the data layer and processing the calculation result data, and the user service request carries the priority information of the time delay sensitive service. According to the method, a real-time feedback mechanism and closed-loop dynamic optimization are adopted, so that dynamic service requirements and network environment changes are quickly adapted.

The invention relates to an intelligent allocation method for combined settlement funds. The method comprises the following steps: collecting key data from various business receipts and storing the key data; extracting the sorted key data, and judging a specific business scene to which the business belongs; according to the business scene, calling a corresponding fund allocation priority algorithm, and calculating a settlement amount, a settled amount, an unsettled amount and a verification amount of each business document; and feeding back a calculation result to a business document system and a financial system, and updating amount data of related documents. According to the invention, dynamic adjustment can be carried out according to the characteristics, the time sequence and the amount weight of the business document, so that the rationality and accuracy of fund allocation are ensured; the allocation efficiency is improved, and the complexity and the error rate of manual operation are reduced, so that the fund flow management is optimized; the flexibility and adaptability of the system are enhanced, and individual requirements of enterprises in different business scenes can be better met.

This disclosure relates to the field of data governance technology, and provides a method, system, apparatus, medium, and device for constructing data indicator services. The method includes: acquiring data source information and extracting indicator metadata and underlying basic data from it; inputting the indicator metadata into an indicator governance framework and the underlying basic data into an indicator calculation framework; performing semantic transformation on the indicator metadata in the indicator governance framework to obtain an indicator semantic knowledge base and generate indicator definition information; establishing a bidirectional communication channel between indicator governance and indicator calculation, and sending the indicator definition information to the indicator calculation framework through this channel; receiving indicator query requests; performing indicator calculations in the indicator calculation framework based on the request and the indicator definition information, combined with the underlying basic data, to generate indicator calculation results; outputting the calculation results to a user terminal and feeding back the calculation results to the indicator governance framework through the bidirectional channel. This embodiment improves the consistency and response efficiency of indicator services.

The invention relates to an international freight rate search processing multi-OFFICE query method, system and device and a medium, and belongs to the technical field of freight rate search, the international freight rate search processing multi-OFFICE query method comprises the following steps: determining whether a request input by a user is a multi-office request, if yes, performing pre-grouping; re-grouping the pre-grouping result according to the RS1 data content related to the office information in the inspection rule, and grouping the offices with consistent rules into one group; taking a first office from each group as a representative office of the current group to carry out logic inspection and calculation; and combining the different office groups with the same calculation result. According to the method and the device, the performance of processing the multi-office request by the international freight rate search engine can be effectively improved, so that powerful support is provided for the construction of the high-performance international freight rate search engine.

The present disclosure provides a sheet data processing method, a computer device, and a storage medium. The method includes: obtaining input data in a sheet, and determining at least one calculation formula affected by the input data; determining basic data corresponding to the calculation formula according to a node backend service, and writing the input data and the basic data into a calculation engine; determining a data list affected by the calculation formula by using the node backend service, and passing the calculation formula to the calculation engine to calculate the data list, to generate a calculation result; determining, according to the calculation result, a data item in the data list that changes after the calculation, and performing data updating on the data item; and displaying an updated data list in the sheet.

The invention discloses a subgraph mode mining method and device based on a financial transaction graph, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: constructing an initial financial transaction graph according to transaction information of historical transaction records; receiving each target transaction record through a preset data receiving mode, selecting to insert the target transaction record into the initial financial transaction graph according to the corresponding target timestamp, deleting the outdated transaction record in the initial financial transaction graph, and obtaining a target financial transaction graph; performing feature calculation on graph features related to the sub-graph modes of the target financial transaction graph, and obtaining target sub-graph modes and node feature attribute information of the target financial transaction graph according to a feature calculation result; and splicing the target sub-graph modes and the node feature attribute information as target fields to the fields of the corresponding target transaction records to obtain a sub-graph mode mining result. And comprehensive analysis is carried out by utilizing existing data, dynamic changes of financial transactions are adapted, and the adaptability and sustainability of sub-graph mining are ensured.

A management server (100) includes a common key distribution unit (113) that generates a common key shared by a plurality of output destination servers (201), generates first encrypted data obtained by encrypting the common key for each output destination server (201) by using a public key paired with a secret key individually possessed by each output destination server (201), and distributes the generated first encrypted data to each output destination server (201), thereby causing each output destination server (201) to decrypt the common key; and a data output unit (114) that distributes second encrypted data obtained by encrypting an output value by using the common key to each output destination server (201), thereby causing each output destination server (201) to decrypt the output value.

The present invention discloses a method for docking an electronic tax bureau based on general report technology and a big data knowledge base, specifically relating to the technical field of data processing. The method includes: obtaining tax return header data and generating a general report through artificial intelligence machine learning; obtaining the tax declaration data of a target enterprise and preprocessing the tax declaration data; calculating the preprocessed tax declaration data by using the Flink streaming calculation method, and applying the calculation result to the general report to obtain a target tax return. The present invention effectively solves the problem of improving the efficiency of the change and upgrade work of the electronic tax bureau, as well as the unified standardization problems of the diversity of bureau-side interface access, the diversity of requirements, and regional differences.

The invention provides a four-bit fixed-point BANKROUND implementation method based on simd. The four-bit fixed-point BANKROUND implementation method based on simd comprises the steps that S1, floating point conversion shaping and four-bit fixed-point operation are carried out; s2, performing right shift by 4 bits, i.e., after multiplying by 16, dividing by 16 for reduction, retaining an integer part of the data, and reducing the fixed-point data into original data; s3, retaining a decimal part of the data, wherein the decimal part is expressed as result3 = result1amp; 0 * 00001111, 0 * 00001111; s4, judging whether a decimal part is 0.5 or not: judging whether the decimal part is equal to 0.5 or not in banker rounding; s5, according to the BANKROUND standard, the condition of entering 1 needs to be met at the same time: case 1) decimal part gt; the condition is completed in the process of S1, and all the parts larger than or equal to 0.5 directly enter 1; 2) the decimal part is equal to 0.5, and the unit of the integer part needs to be ensured to be an odd number; s6, setting each 16-bit number meeting the condition in each result5 as 1, and setting each 16-bit number not meeting the condition as 0; and S7, subtracting the calculation result in the step S6 from the result after shifting calculated in the step S2.

The invention discloses a real-time processing method, system and equipment for high-frequency time sequence data and a storage medium, and relates to the technical field of data processing in the steel industry, and the method comprises the steps: collecting the high-frequency time sequence data of equipment in a steel production process, and uploading the high-frequency time sequence data to a target data bus; based on a trigger signal, sequentially acquiring the high-frequency time sequence data from the target data bus; preprocessing the obtained high-frequency time sequence data to obtain a standard data stream; configuring a calculation process based on a zero code editor, and calculating the standard data stream through the calculation process to obtain calculation result data; respectively storing the calculation result data into a memory database and a disk time sequence database according to a time dimension; and outputting the calculation result data through an application program interface.

Embodiments of the present application relate to the technical field of financial technology, and disclose a mobile terminal technical index local analysis and display method and related equipment, which comprises: displaying original basic data on a client interface; in response to a user selecting a view type and a technical index, obtaining corresponding market data from a server according to the view type and the technical index, and triggering an index calculation scheduler; calling a technical index operator corresponding to the technical index from a class library, calculating based on the market data to obtain a calculation result of the technical index, the class library comprising a plurality of basic algorithm components, the technical index operator being obtained by combining and encapsulating one or more basic algorithm components; and rendering the calculation result of the technical index to a graph area corresponding to the view type and displaying. Through the above manner, the embodiments of the present application reduce background computing power and bandwidth consumption, realize client local high-performance calculation of various technical indexes, have low code redundancy, and have strong scalability.

The invention discloses an enterprise credit automatic rating method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring to-be-rated enterprise data; inputting the to-be-rated enterprise data into a credit rating model for credit score calculation to obtain a calculation result; determining an industry to which the enterprise belongs according to the to-be-rated enterprise data; determining a mapping relation according to the industry to which the enterprise belongs; determining the credit rating of the enterprise according to the calculation result and the mapping relation; and outputting the credit rating of the enterprise. By implementing the method provided by the invention, a more comprehensive and accurate credit rating system can be realized, and the problems of difficulty in data acquisition, unstable data quality, poor model interpretability and complexity and accuracy of a processing process in the prior art are solved.

The application discloses a case handling period risk and record compliance risk linkage summary method, system and computer program product under an internal network environment. Unified case identification is used to associate case basic data, period calculation results, record documents, compliance verification reports and operation logs. A period calculation module determines the expiration date, remaining days and period early warning risks from the case filing date, handling period, extension, non-counted period days and handling state. A record compliance verification module uses a hit chain traceable deterministic rule base to obtain record compliance risks from the associated records, and does not rely on the uncertainty output of a large language model. A risk synthesis module maps the above two types of risks with different sources, types and calculation methods into high, medium and low levels, respectively, and takes the higher one to obtain a comprehensive risk level. In response to the events of handling, resuming handling, soft deleting, adding a new record or generating a report, the business semantics are automatically recalculated and refreshed. The whole process is completed on the internal network and the data is not externally transmitted.

The invention belongs to the technical field of nuclear power plant operation on-duty record management, and discloses a nuclear power plant deviation technical specification limit value and condition recording system and method, and the system comprises a data input module, a data retrieval module, a transmission module, a data display module, a data sharing and inheriting module, and a database. According to the method, after starting time is recorded and a system KKS code is input, a data retrieval module matches an event scene from a database and displays the event scene, the system automatically fills unavailable system data when the scene is selected, a data sharing module realizes cross-post synchronization when a calculation result is input, and if a case is not settled, an event entry automatically continues to the next shift until the ending time is input; the system calculates accumulated time and stores data, and supports query. According to the method, a standardized recording method is adopted to achieve rapid, standard and accurate recording, the nuclear power plant technical specification is converted into the electronic database, the database covers all scenes, needing to be recorded, of the corresponding system, missing recording of related terms can be avoided, and the recording standardization can be improved.

The invention belongs to the technical field of data processing, and relates to a real-time data storage migration method, device and equipment and a storage medium thereof, and the method comprises the steps: collecting latest user log data in real time, carrying out the streaming real-time calculation of the collected latest user log data, and storing a real-time calculation result in a distributed storage library in real time in a file carrier form. After new business user information is obtained or an old user handles new business, the user data is updated and migrated to the corresponding database in time in combination with business log data and a streaming real-time calculation mode, and particularly in the financial business field with a large user quantity and complicated business types, the user information data migration and updating can be realized, so that the user data migration and updating efficiency is improved. According to the method, the user information data can be updated and migrated to the target database in time only by connecting the pre-constructed real-time data acquisition layer to the target business system when a new user or new business information of the user exists.

The invention particularly relates to a task dynamic parameter transmission method and device based on a big data execution engine, and relates to the technical field of big data processing, and the method comprises the steps: according to the type of an upstream task, adopting a parameter processing logic adaptive to the type of the task, and storing three types of parameters to a corresponding storage medium; two preconditions are verified, wherein the two preconditions include the dependency relationship between the downstream task configured in the platform and the upstream task, the upstream task completing output parameter configuration and the parameter state being available. According to the method, three types of parameters of constant, user-defined operation and calculation results are divided, different business scenes such as static configuration transmission, cross-task unified management and dynamic result reuse are accurately matched, and diversified parameter transmission requirements such as database connection ports, date partitions and task execution results are covered; specific parameter output logic is designed for four mainstream task types of SparkSQL, Python, Shell and RDB, and a standardized storage path and a cross-task multiplexing mechanism are adopted, so that the problems of repeated configuration and format incompatibility are avoided.