252 results about "Transaction Type" patented technology

The invention discloses an off-site derivative cross-border supervision intelligent adaptation system based on heterogeneous data fusion, and relates to the technical field of big data processing. A data acquisition module is set to obtain off-site derivative transaction data, and an original data set is generated; setting a data structured processing module to perform semantic analysis on the original data set by adopting a financial text-oriented text model to generate a transaction information table, setting a transaction type classification module to judge whether cross-border transactions are involved or not according to transaction types in the transaction information table, and if the cross-border transactions are involved, setting a cross-border compliance evaluation module to perform cross-border compliance evaluation on the cross-border transactions. Performing dynamic rule matching on the transaction information table to generate a compliance report; otherwise, a risk prediction module is set, risk prediction is conducted on the transaction information table through a pre-trained transaction graph neural network model, a risk early warning signal is generated, and corresponding early warning measures are executed. The compliance cost is reduced, and the risk management and control capability is improved.

An autonomous job scheduling system for distributed ledger technology is disclosed, leveraging photonic quantum computing and generative artificial intelligence (AI). The system collects transactional and operational data from various nodes within a distributed ledger network, focusing on transaction types, sizes, and priorities. This data is filtered for urgency and resource intensity, analyzed against real-time network conditions and business rules to ascertain job execution parameters. A photonic quantum computing system processes these parameters to optimize job scheduling strategies, including quantum annealing and simulations. The AI engine generates dynamic smart contracts deployed to distributed ledgers by a job orchestration engine. The system monitors job execution, gathering performance data and providing feedback for real-time adjustments. The job orchestration engine updates job scheduling in response to these adjustments, enhancing the efficiency and responsiveness of the blockchain network.

The invention discloses a virtual power plant operation management and control method based on a block chain, original power data are compressed into Hash fingerprints to be chained through a collaborative architecture of an edge computing layer and an AI pre-decision module, the block chain network load is effectively reduced, and a dynamic elastic PBFT consensus mechanism adjusts the scale of verification nodes in real time based on transaction types, so that the efficiency is improved. And compared with a traditional fixed node consensus mechanism, the network communication overhead is reduced. And a hash value asynchronous pre-verification technology is adopted, so that the interaction rate of the multi-dimensional power data is improved, and the efficiency is improved compared with that of a conventional data uplink mode. Through the decoupling design of the intelligent contract execution flow and the consensus verification flow and in combination with the pre-decision data cache queue, the resource scheduling instruction issuing time delay is reduced. The block chain transaction throughput is improved and is effectively improved compared with a standard alliance chain architecture, and the technical problems that the consensus mechanism processing transaction speed of an existing block chain is limited and the high-frequency real-time data interaction requirement of a virtual power plant is difficult to meet are successfully solved.

The invention relates to the technical field of user behavior analysis, in particular to a DeepSeek-based financial marketing SAAS platform, the platform carries a control system, and the system comprises a behavior feature acquisition module, a marketing strategy priority evaluation module, a window behavior analysis module, a strategy deployment adaptation module and a resource dynamic mapping module. According to the method, cross-platform time sequence alignment is completed and a cross-system behavior time sequence chain is formed by collecting user behavior event time features and transaction type identifiers and combining financial product state tags and user portrait attributes, high-frequency transaction behavior distribution features are extracted based on the behavior time sequence chain, and strategy demand urgency is dynamically corrected in combination with the product state tags. Time windows are divided according to the strategy priority sequence, trigger density characteristics and time interval fluctuation characteristics are extracted, strategy optimization is executed through a trigger density comparison bearing threshold value, calculation and storage resources are dynamically distributed, and the resource configuration efficiency and the system stability are improved.

The invention relates to a reconciliation clearing method and system based on intelligence, and the method comprises the steps: obtaining business transaction processing information, splitting the information into a plurality of information pieces according to a preset data type, obtaining a transaction information piece set, and enabling each information piece to correspond to a data type; performing feature extraction on the transaction information piece set, generating transaction feature vectors, including transaction amount, transaction type and channel identifier, inputting the transaction feature vectors to a pre-trained account checking and clearing window prediction model, and outputting the size of an account checking and clearing window corresponding to the current transaction information piece set; and based on the transaction information piece set and the size of the reconciliation clearing window, performing distributed processing on the transaction information piece set by using a preset reconciliation clearing link generation mechanism to realize reconciliation clearing of the business transaction processing information. Therefore, processing resources are reasonably allocated, distributed processing is realized, and the processing efficiency and accuracy of account checking and clearing are remarkably improved.

Disclosed are systems, servers and methods for a novel, multifactor-token based framework for securely executing electronic transactions while protecting user and transactional data related to and / or communicated during the transactions. The disclosed systems and methods enable an on-demand multifactor token to be generated for electronic transactions, whereby the tokens can be specific to a type of transaction, a type of entity and / or other party involved, and the like. The disclosed tokens can be relayed between users and the parties they are interacting with rather than personally identifiable information, which ensures a user's data is securely maintained and prevented from undesired exposure on a network.

Provided is a method for implementation of an application running on a computer having a processor and a memory or a cloud infrastructure, receiving a request from a user, via a gateway manager, to initiate a future payment transaction in accordance with a selected one of a plurality of payment transaction types. The method also includes comparing, via an allocation engine, the requested future payment transaction with patterns derived from an analysis of stored previous payment transactions associated with the user, wherein the patterns represent an association of each of the payment transaction types with one of a plurality of different types of vendors from the stored previous payment transactions. A payment transaction type is automatically selected for the future payment transactions based on the comparison.

A fraud detection system preemptively identifies and mitigates fraudulent financial transactions in real-time across a diverse range of digital and physical transaction sources. Transaction data may be acquired from various platforms and categorized into rule sets specific to transaction types. Categorized data is aligned with existing risk profiles to construct a dynamic hysteresis model. This model, evaluated by a decision tree algorithm, identifies potential fraud by integrating immediate transaction details with a comprehensive historical data analysis, thus enabling advanced trend analysis and pattern recognition. Key features identified by the decision tree are used to form a heuristics model, which is then analyzed by a transformer network risk model. A feedback loop enhances the system's effectiveness by incorporating decision outcomes back into the model training server, thus refining the training dataset and continuously improving the accuracy of the risk model.

The invention provides a student transaction allocation and service evaluation method and system based on multi-modal hosting, and relates to the technical field of intelligent transaction scheduling and service evaluation, and the method comprises the steps: extracting semantic features in a student transaction request, fusing the semantic features with transaction type information to generate a transaction feature vector, constructing a transaction time sequence association graph, and obtaining a transaction time sequence association graph; identifying a processing dependency relationship, and forming a transaction family and a processing priority sequence thereof; combining skill vectors of the processing personnel, and realizing an optimal matching path by utilizing self-adaptive dynamic programming; and finally, dynamic adjustment and feedback updating are performed according to the matching result and the service score, so that the transaction processing efficiency and the service matching accuracy can be effectively improved.

Disclosed are systems, servers and methods for a novel, multifactor-token based framework for securely executing electronic transactions while protecting user and transactional data related to and / or communicated during the transactions. The disclosed systems and methods enable an on-demand multifactor token to be generated for electronic transactions, whereby the tokens can be specific to a type of transaction, a type of entity and / or other party involved, and the like. The disclosed tokens can be relayed between users and the parties they are interacting with rather than personally identifiable information, which ensures a user's data is securely maintained and prevented from undesired exposure on a network.

The invention provides a multi-type account management method and device, equipment, a storage medium and a program product. Relates to the technical field of data processing. The method comprises the following steps: generating a global account coding identifier corresponding to each account according to a preset account coding rule and account information, and carrying out associated storage on the global account coding identifier and the account information corresponding to each account; obtaining a global account code identifier and a transaction type corresponding to the target account from transaction data, and determining a corresponding preset accounting rule according to the global account code identifier and the transaction type; generating a corresponding entry according to a preset bookkeeping rule corresponding to the target account, and performing associated storage in a preset bookkeeping table; converting the initial reconciliation statement into a standard reconciliation statement by adopting a corresponding data analyzer; and account checking processing is carried out based on the standard account checking list and the preset account keeping list. According to the method, unified management of multiple types of accounts is realized, the entry is accurately generated, the account statement of different types of accounts is uniformly processed, and the account management efficiency is improved.

A method for detecting anomalous data is provided. The method comprises collecting a training dataset comprising a number of transactional time series, wherein the time series comprise non-anomalous data entries for a specified transaction type. The training dataset is fed into a gated recurrent unit (GRU) network, which learns the data distribution for the transactional time series. The GRU predicts expected future values of the specified transaction type according to the learned data distribution. An upper bound and a lower bound for future values are calculated based a standard deviation of the predicted values. When new data entries of the specified transaction type are received their values are compared to the upper bound and the lower bound, and an error notification is provided if the values of the new data entries fall outside the upper bound or lower bound.

The invention relates to the technical field of electronics, in particular to a scanning equipment control process management method based on a custom protocol. According to the method provided by the invention, a secure communication bridge between a Web environment and local hardware is established through interaction between a custom protocol and an operating system registry; a driver and an API interface matched with a configuration file are dynamically loaded by using a local plug-in, so that multi-model scanning equipment is compatible, and the hardware adaptation and maintenance complexity is reduced; original data is converted into standardized data, an atomized transactional data processing pipeline is constructed, and the integrity and traceability of cryopreservation tube information are ensured; finally, a visual interface is dynamically analyzed and rendered based on a Web client, real-time mapping of cryopreservation tube layout is achieved, and operation intuition, sample searching efficiency and user experience are improved.

A transaction is pre-staged by providing transaction preferences, such as a financial instrument, a transaction type, and a transaction amount, to a user device. The user device captures a visual code at a terminal, such as an ATM. The visual code includes terminal attributes, including a signed hash and call-back URI. The user device authenticates the visual code using the signed hash and requests the transaction through the issuer server. The issuer server creates and sends the card data to the call-back URI. The terminal uses the card data to create a transaction request it routes to through its acquirer server.

The invention provides a financial data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring transaction data generated by a financial service system from a block chain node in real time; performing tagging processing on the transaction data according to a preset rule, wherein the tagging dimension comprises a transaction type, a risk level and a data flow direction; based on a graph data model, converting the tagged transaction data into a structured relationship including nodes and edges, the nodes representing a transaction subject, and the edges including a transaction amount, transaction time and a data flow direction; and displaying the structured relationship in a dynamic graph form. The method is used for achieving the effect of improving financial data processing efficiency and accuracy.

Methods and user interfaces for managing information on computer systems, including, in some embodiments, for managing display of user interface elements based on movement of the computer system, for requesting account information if an account is available, for provisioning an account onto a computer system if provisioning criteria are met, for associating a transfer amount with an account for use with selected transaction types, for displaying user interface elements corresponding to transaction types, for displaying user interface elements based on a quantity of transfer obligations, for entering a numeric digits of a numeric sequence based on a quantity of gestures, and / or for locking a computer system while entering a number sequence.

The embodiment of the invention provides a transaction execution method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a transaction request for a target transaction, and determining a transaction component required by the transaction request; generating an execution command of the transaction component based on the transaction type of the target transaction, and storing the execution command into a database transaction corresponding to the target transaction; the database transaction is used for storing related data of a target transaction; and executing the target transaction according to the execution command to obtain an execution result of the target transaction.

An off-chain gas management system allows Web3 developers to cover gas fees for their users. When a user wants to complete a blockchain transaction, the system receives a sponsorship request through an API and checks if the operation qualifies under the developer's gas sponsorship policy. Policies include spending limits, approved addresses, and time restrictions. If approved, the system creates a cryptographic signature that authorizes transfer of the gas fee amount. An on-chain contract validates the signature before covering the gas fees. The system includes a user interface for creating and managing policies with configurable spending controls and address restrictions. Advanced features use machine learning to allocate funds based on user value, detect fraud, classify transaction types, optimize cryptocurrency purchases, and predict when funds will run out. This eliminates the barrier of users needing to own cryptocurrency to pay gas fees while maintaining security through automated policy enforcement and cryptographic validation.

The invention provides a configuration method and device of a supervision protocol, a storage medium and a program product, relates to the field of computers, and can reduce the workload of developing a supervision system. According to the specific technical scheme, a target area where a real estate project is located and a to-be-supervised object in the real estate project are obtained; and determining a target supervision mode based on the target area, the target supervision mode being used for indicating the dimension of object supervision of the real estate project in the target area. According to the target supervision mode, a target supervision protocol is configured for the to-be-supervised object, and the target supervision protocol is used for supervising the fund use condition in the supervision account of the to-be-supervised object according to the supervision dimension indicated by the target supervision mode. And acquiring fund use information. And determining an account synchronization mode based on the transfer transaction type, the account synchronization mode being a mode of updating account information of the target associated object. And updating account information of the target associated object based on the fund use information and the account synchronization mode.

This invention discloses a method and apparatus for balancing transactions, relating to the field of financial services technology. One specific embodiment of the method includes: determining balancing conditions corresponding to a foreign exchange transaction type; acquiring system information and / or market information, and determining whether the system information and / or the market information meets the balancing conditions; in response to the system information and / or the market information meeting the balancing conditions, acquiring a record to be balanced corresponding to the foreign exchange transaction type; determining a fund pool record corresponding to the record to be balanced from a fund pool; and performing balancing processing on the record to be balanced based on the fund pool record. This embodiment can automatically perform balancing processing, saving labor costs and possessing high efficiency and accuracy.

The invention provides a transaction entry method and device based on an EL expression engine and electronic equipment. Comprising the steps that a rule factor dictionary table is constructed, the rule factor dictionary table is a mapping relation table of rule conditions and transaction routing rules, and the rule conditions and the transaction routing rules are stored in the rule factor dictionary table in the form of EL expressions; obtaining transaction data of a user, determining transaction attributes of the transaction data, and determining a transaction routing rule corresponding to the transaction data by adopting an EL expression engine based on the rule factor dictionary table by taking the transaction attributes as rule factors; and based on the routing rule matching table, determining a quota management and control unit and a transaction-level account type of a transaction system corresponding to the user according to the transaction routing rule and the transaction attribute, and performing accounting processing on the transaction data according to the quota management and control unit and the transaction-level account type. The problems that business rules and codes of an existing bank transaction system are strongly coupled, new transaction types need to be developed and deployed again, and the response period is long are solved.

The invention discloses a data batch processing method and a related device, and relates to the field of big data services, the data batch processing method comprises the steps that a classification identifier of each structured query language (SQL) statement in each transaction is generated, and the classification identifiers of the SQL statements of the same operation type for the same operation object are the same; according to the classification identifiers of the SQL statements, dividing the SQL statements which aim at the same operation type of the same operation object and are irrelevant into a submission queue; according to the operation objects, the transaction types and the transaction quantity for the transactions, determining a threshold value for starting batch processing, the transaction types being used for indicating the types of SQL statements contained in the transactions, and the transaction quantity being used for indicating the quantity of the transactions containing the same SQL statement; and under the condition that the submission queues meet the threshold value, starting threads with the same number as the submission queues, and carrying out parallel processing on all the submission queues by utilizing the threads.

The present application relates to a transaction data processing method, apparatus, computer device, and storage medium. The method comprises: obtaining a first transaction result in response to a transaction data processing instruction from a target terminal for pending transaction data; receiving a pre-processing instruction from the target terminal when the status of the first transaction result is a preset state, and obtaining a transaction type and instruction type of the pending transaction data; generating a first transaction instruction based on the transaction type and instruction type; obtaining a second transaction result in response to a transaction result query instruction; obtaining a transaction result status of the second transaction result when the status of the second transaction result is not a preset state; and generating a second transaction instruction for the pending transaction data based on the transaction result status, the transaction type of the pending transaction data, and the instruction type of the pre-processing instruction. This method can achieve real-time processing of transaction data in an unknown state.

This disclosure provides a data processing method, an electronic device, and a computer program product. One data processing method includes: generating a configuration file capable of processing financial data in a business service, the business service including the business department to which the financial data belongs, business type, and transaction type; the configuration file recording data processing logic adapted to the business service; forming a hot-loading index recording the association between the business service corresponding to the financial data and an executable program capable of calling the configuration file; responding to a processing request for target data, determining a target executable program capable of calling the target configuration file from the hot-loading index, the target configuration file being a configuration file applicable to the target business service to which the target data belongs; and triggering the target executable program to execute the target configuration file on the target data to obtain the processing result of the target data.

The application relates to a relay chain-based cross-chain service processing method and device, equipment and a storage medium, and belongs to the field of blockchains. The method comprises the following steps: obtaining a first cross-chain transaction request of a cross-chain transaction sent by a source chain, wherein the first cross-chain transaction request carries the data of the cross-chain transaction, a transaction type identifier and a target chain identifier; distributing the cross-chain transaction data to a cross-chain processing channel corresponding to the transaction type identifier in a relay chain according to the transaction type identifier, performing operation and obtaining an operation result; performing consensus processing on the cross-chain transaction according to the operation result; sending a second cross-chain transaction request to a target chain corresponding to the target chain identifier, wherein the second cross-chain transaction request carries the data of the cross-chain transaction and a transaction identifier; and sending a processing result of the second cross-chain transaction request obtained by the target chain to the source chain. The application parallelly processes the cross-chain transaction by distributing the cross-chain transaction to different cross-chain processing channels, realizes the concurrency of intrachain transactions on the relay chain service, and improves the processing performance of the cross-chain transaction.

The application provides a kind of sharded blockchain dynamic account allocation method considering transaction type, comprising: based on the consensus protocol within the sharding of sharded blockchain system and each transaction type weight executes transaction, generates local transaction graph;Aggregating all local transaction graphs to build a global transaction graph, and extracting a feature vector representing the system state from the global transaction graph through a graph attention network (GAT) and outputting an account allocation strategy prediction result;Optimize the prediction result through GA-PPO agent to obtain the optimization result of account allocation strategy;Based on the consensus protocol within the sharding, the decision result of the mapping relationship between the account and the sharding is generated according to the optimization result of the account allocation strategy, and the account migration operation is executed according to the decision result.The process data of the account migration operation executed according to the new strategy can also be recorded, and the recorded process data is used for continuous training of GA-PPO agent.The application optimizes the dynamic account allocation strategy in the sharded blockchain system, and improves the scalability and performance of the system.

This application discloses a method, apparatus, device, medium, and product for batch processing of transaction data, relating to the field of big data technology. The method includes: grouping a first transaction dataset based on account identifier codes to obtain a second transaction dataset corresponding to each account; aggregating transaction data with the same transaction sequence number from all second transaction datasets into a third transaction dataset to obtain a third transaction dataset corresponding to each transaction sequence number; classifying each third transaction dataset based on transaction type to obtain a corresponding fourth transaction dataset; processing the pending transaction data group corresponding to the current transaction sequence number to obtain cross-sectional data for the current transaction sequence number; and sequentially processing the pending transaction data group corresponding to the next transaction sequence number based on the cross-sectional data until all transaction sequences are processed to obtain the final cross-sectional data. This application can meet the need for rapid processing of massive amounts of account transaction data and can improve the processing speed of massive amounts of account transaction data.

The invention discloses a transaction broker cost settlement method and device, electronic equipment and a storage medium, and the settlement method is applied to a fund business server, and specifically comprises the steps: obtaining the cost of a plurality of transaction brokers; according to a first feature and a second feature in each transaction broker fee, obtaining a combined transaction broker fee; and in response to a clearing instruction, according to a third feature in the merged transaction broker cost, generating clearing information, the third feature being used for representing the transaction type of the transaction broker cost, the second feature being used for representing the currency of the transaction broker cost, and the first feature being used for representing the broker of the transaction broker cost. According to the invention, the cost settlement efficiency of the transaction broker is improved, and the accuracy is ensured. The method can be used for a fund business system, the management uniformity and flexibility of fund business transaction broker expenses can be improved, the workload of business personnel configuration is reduced, and the expense checking rate and accuracy are improved.

The application provides a SOC bus transmission performance dynamic adjustment system and method, monitors bandwidth data and transmission delay data of each master device under corresponding transaction types, compares and analyzes the bandwidth data and the transmission delay data and outputs bandwidth delay analysis results, dynamically adjusts the effective signal duty cycle and the maximum number of unfinished transactions allocated to the master device according to the priority order of the master device and the bandwidth delay analysis results. Thus, the bus bandwidth utilization is improved, the transmission congestion is reduced, the delay is reduced, the real-time requirement is met, and the system energy efficiency is optimized.

The invention provides a data processing method and device based on a block chain, equipment, a medium and a program product, and relates to the field of block chains. The method comprises the following steps: responding to a received transaction verification request sent by target terminal equipment; the transaction verification request comprises a target transaction type; the first terminal device comprises a target terminal device and a second terminal device; the target terminal equipment is terminal equipment to be subjected to transaction verification; the second terminal equipment is other terminal equipment connected to the cloud equipment except the target terminal equipment; determining a first number of nodes required to be verified based on the target transaction type; the verification node is a terminal device used for verifying the transaction in the second terminal device; and determining a first number of verification nodes by adopting a preset node selection algorithm, and sending identification information corresponding to the first number of verification nodes to the target terminal equipment.