188 results about "Calculated result" patented technology

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 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 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 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.

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.

The invention relates to the technical field of power system index management, and discloses an index management method, system, equipment and medium based on a micro-service architecture, and the method comprises the steps: building a first index library through obtaining first historical business data of a target power grid, and comprehensively covering various indexes such as original, derivative and composite indexes; and more comprehensive and deep power grid state analysis is realized. The second index calculation logic is combined with the constant value representation and the non-constant value preset calculation logic, so that the index numerical calculation is accurate and flexible, and different scene requirements are met. The preset third index judgment logic can monitor the abnormality of the index calculation result in real time, discover problems in time, and improve the reliability and stability of index management. The first index library, the second index calculation logic and the third index judgment logic are integrated into the index management micro-service architecture, modularization, servitization and intelligentization of index management are achieved, the management efficiency is improved, and system expansion and maintenance are facilitated.

The invention discloses a traceable multi-source heterogeneous data rule calculation method and an execution engine, and belongs to the technical field of big data and rule engines. The method comprises the steps of performing unified packaging and on-demand type conversion on multi-source input data according to a configurable rule set supporting inheritance and cross-scene multiplexing to form a standard data stream; on the basis of the rule set, triggering judgment and window division, expression analysis and dynamic function loading and aggregation and derivation calculation are sequentially executed on the standard data flow, a calculation result is generated, and a traceable execution plan containing data flow and rule matching information is synchronously generated in the process; and finally, outputting a calculation result as structured data containing the rule identifier. According to the method, flexible configuration of rule logic, high-performance execution of a calculation process and full-link interpretability of a calculation result are realized, and non-intrusive expansion of functions is supported.

The application provides a data interaction method and device, and is applied to a first data block chain, wherein the method comprises the following steps: a request node of the first data block chain joins an interaction block chain to become a data demand node, and the data demand node sends a data request to a service node of the interaction block chain; the data demand node receives authorization information sent by the service node; the authorization information is determined by a business node based on an authorization request sent by the service node, and the business node is a node in a second data block chain; the data demand node calls a decentralized application based on the authorization information, and the decentralized application is used for obtaining target data corresponding to the data request from the business node; and the data demand node receives a target calculation result determined by the decentralized application based on the target data. The first data block chain does not directly obtain data in the second data block chain, so that the data is only stored in the respective data block chains, and the data interaction security is improved.

This document discloses methods, systems, and apparatus for detecting deadlock in real-time gross settlement systems, including a computer program stored on a computer-readable storage medium. One method includes: instructing multiple users of the real-time gross settlement system to independently calculate their respective liquidity information and perform a joint calculation to determine the total liquidity within the real-time gross settlement system; receiving the calculation results from the multiple users and calculating the total liquidity based on the received calculation results; verifying the correctness of the liquidity information of the multiple users based on the calculated total liquidity; and determining whether deadlock exists in the real-time gross settlement system after the correctness of the liquidity information of the multiple users has been verified.

The invention belongs to the technical field of data security, and particularly discloses a JSON (JavaScript Object Notation) data security storage and retrieval method and device.The method comprises the steps of creating a security-related data type in a database kernel, and analyzing JSON data into a structured object based on the security-related data type; performing homomorphic encryption on a semantic unit in the JSON data, combining the encrypted semantic unit with plaintext structure metadata, generating binary format data of a security related data type, performing persistent storage, and keeping the binary format data in a ciphertext state in a life cycle of a database; receiving a data query statement sent to the database, wherein the data query statement comprises a query condition for the binary format data; performing homomorphic encryption on a constant value in the query condition to obtain a query parameter ciphertext; and executing the ciphertext query plan, performing homomorphic calculation operation based on the query parameter ciphertext and the ciphertext data in the binary format data, and obtaining a retrieval result based on a calculation result.

The invention discloses a patent data comprehensive evaluation system for industry gathering and divergence trend, and the system comprises a data collection module which is used for determining the patent data analysis dimension of a target industry chain, constructing a retrieval strategy for patent data, and downloading the retrieval strategy; the data processing module is used for cleaning data information, performing data indexing on the data and determining a patent data set; the spatial weight matrix construction module is used for analyzing the geographic spatial critical state of the target industrial chain in the target area based on the patent data set information and constructing a spatial weight matrix; the Moran index calculation module is used for calculating application data of a target professional chain according to patent data by adopting a global Moran index and local Moran index calculation method; and the result analysis module is used for analyzing the technical concentration degree of the target industrial chain in combination with the Moran index result. The system uses an analysis framework of patent data and economic geography Moran index to accurately measure and analyze the industrial technology concentration degree.

The embodiment of the invention discloses a business index calculation method and device based on a database, a medium and a product. The method comprises the steps of obtaining a to-be-calculated service calculation task, and determining a corresponding directed acyclic graph according to identification information of the service calculation task; wherein the directed acyclic graph comprises a business index calculation sequence; querying target basic data corresponding to the identification information in a database according to the directed acyclic graph; and performing business index calculation according to the index calculation sequence in the directed acyclic graph and the target basic data to obtain a business calculation result. According to the index calculation sequence in the directed acyclic graph corresponding to the service calculation task, the basic data is acquired, and the multi-level index calculation is performed, so that the corresponding basic data can be accurately extracted according to the service calculation task; data storage and calculation hardware are decoupled, so that the business calculation efficiency is improved; and intermediate indexes can be reused, so that the value of data assets is improved.

The application relates to a case data statistical analysis method for the judicial field, and belongs to the technical field of computer big data. The application organizes judicial case data by using a wide table model in the field of data warehouses, finally forms a case data wide table model and a personnel data wide table model, adopts an open source data calculation and storage framework ClickHouse calculation engine, adopts a dynamic template method to define a statistical analysis model, when statistical analysis is performed, an analysis model template is combined with analysis parameters to dynamically and timely generate a corresponding analysis script, the analysis script is submitted to the calculation engine, calculation and analysis are completed by the calculation engine, and the calculation result is normalized and then transmitted back to a calling party. The overall design idea of the application greatly improves the flexibility of judicial case data in the analysis process.

The invention relates to the technical field of data collection, and discloses a basic data quality safety management and control system and method based on data collection, and the system comprises a data collection monitoring module which collects an inverter operation data set and an inverter state data set for numbering, the data acquisition and evaluation module calculates an inverter state index based on the inverter state data set and judges the safety of the inverter operation data set and the inverter state data set, and the data acquisition and storage module calculates the data receiving integrity based on the received inverter operation data set and the inverter state data set and judges the safety of the inverter operation data set and the inverter state data set. And judging whether the data is complete or not based on a data receiving integrity calculation result, sending the data to the platform library unit for storage under the condition that the data is judged to be complete, and implementing a data exception strategy under the condition that the data is judged to be incomplete. According to the method, unsafe data is intercepted from the source, database pollution is prevented, and data integrity and reliability entering a platform library unit are ensured.

The invention relates to a salary and bill integrated calculation method based on a rule engine, and the method comprises the steps: matching a rule chain in a rule engine according to employee salary data, and enabling the rule chain to be obtained through the arrangement and combination of a plurality of atomic rules according to a preset constraint condition; calculating the employee data based on the rule chain to obtain a salary calculation result of the employee, and writing the salary calculation result into a salary database; calling a bill rule chain in a rule engine according to the salary calculation result, generating bill data, and writing the bill data into a bill database; based on the data in the salary database and the bill database, a visual statistical result is generated, and the visual statistical result is used for displaying the use condition of the rule chain and the influence of the rule chain on the salary indexes of different dimensions. According to the method, by introducing the independent rule engine, decoupling of the business rule and the bottom layer code is achieved, and the flexibility and maintainability of the system are remarkably improved.

The invention relates to an online calculation system, method and equipment for a steel pipe rolling tension reducing mill and a medium, and belongs to the technical field of digitization. The method comprises the following steps: inputting production plan information through a superior system or in a manual mode; importing or manually inputting parameters through a template to generate hole pattern data; after a user selects a plan, a system automatically matches corresponding hole pattern data; a user configures and adjusts CEC control strategy parameters and then triggers a calculation process, and the system returns rolling and CEC related result data; the user can choose to store the calculation result in a database for subsequent production reuse or lower-level system call. Hole pattern data can be intelligently matched, and it is ensured that the hole pattern data is highly matched with a current production plan; a hole pattern scheme is flexibly generated, rapid and efficient calculation is achieved, and the operation efficiency is remarkably improved; and historical data storage and reuse functions are provided, the production process is optimized, and repeated input and calculation work is reduced. The whole system effectively improves the production efficiency, the system flexibility and the user interaction experience.

The embodiments of this disclosure generally relate to the field of data analysis technology, specifically to a task processing method based on the R Shiny application, a Shiny server and client for processing tasks, a computer program, and an electronic device. The server method includes, in response to receiving a submitted task from the Shiny client, creating a task entry corresponding to the task in a task database, and configuring the task status of the created task entry to a first state. The method further includes polling the task database to initiate one or more tasks corresponding to one or more task entries in the task database whose task status is in the first state, and configuring the task status of the initiated task's corresponding task entry to a second state. The method also includes, in response to task completion, configuring the task status of the task entry corresponding to the completed task in the task database to a third state. This method can prevent the loss of calculation results when the current browser page is closed or refreshed.

The invention discloses a real-time data complete storage method, device and equipment, a medium and a product. The invention relates to the technical field of data processing. The method comprises the following steps: acquiring a data block set sent by an upstream consumer cluster in a current time period; the data block set comprises at least one data block and a data batch number corresponding to each data block; querying a fingerprint identifier corresponding to each data block according to the data batch number of each data block; if it is determined that data missing exists in the data block set according to the data batch number and the fingerprint identifier corresponding to each data block, determining a target data completion strategy; calling a target data completion strategy to perform data block completion operation on the data block set to obtain a completed data block set; and performing real-time stream calculation on the data blocks in the complemented data block set to obtain a data stream type calculation result, and storing the data stream type calculation result. According to the technical scheme, the technical effect of ensuring complete storage of the real-time data can be achieved.

This invention discloses a data interaction method, system, device, and storage medium based on blockchain. The blockchain includes data owner nodes. Data requester nodes upload their data requests to the blockchain. After verifying the data request, the target data owner node encrypts the target data required by the data requester node and divides the encrypted target data according to the task allocation method in the data request. It then performs calculations on the first encrypted sub-data based on the calculation method in the data request, and sends the calculation result of the first encrypted sub-data and a second encrypted sub-data to the data requester node. The data requester node performs calculations on the second encrypted sub-data, merges and decrypts the calculation results of the first and second encrypted sub-data, and finally obtains the calculation result of the target data. The transmitted data is encrypted, and the calculation task can be undertaken by two nodes, improving computational efficiency and the security of data interaction.