403 results about "Transaction Type" patented technology

The present disclosure generally relates to methods and user interfaces for managing information on computer systems. In some embodiments, methods and user interfaces for managing display of user interface elements based on movement of the computer system and requesting account information are described. In some embodiments, methods and user interface for provisioning an account onto a computer system are described. In some embodiments, methods and user interfaces for associating a transfer amount with an account are described. In some embodiments, methods and user interfaces for displaying user interface elements corresponding to transaction types are described. In some embodiments, methods and user interfaces for managing one or more pending loans are described. In some embodiments, methods for entering a numeric sequence are described. In some embodiments, methods for locking a computer system while entering a number sequence are described.

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.

The invention discloses a financial risk early warning method and system based on a big data technology, and aims to evaluate risks in real time and carry out early warning by analyzing transaction behaviors of financial users. The method comprises the following steps: acquiring a historical operation record of a financial user and extracting operation path data; clustering the historical operation path data by using a clustering algorithm, and identifying operation path features under different transaction types; constructing a transaction risk assessment model, and analyzing the deviation degree of the real-time transaction behavior; assessing the risk according to the deviation degree, and if the risk exceeds a preset value, marking the user as a risk user and performing secondary confirmation; and finally triggering a risk early warning mechanism and formulating an early warning strategy. The system comprises a data acquisition module, a data processing module, an evaluation module, an early warning module and an execution module which work cooperatively to realize real-time monitoring and risk early warning. The method can accurately identify the abnormal transaction behavior, improves the intelligence and automation level of financial risk management, and has a wide application prospect in the financial field.

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 belongs to the technical field of cross-border payment settlement analysis and management, and discloses a cross-border payment channel intelligent distribution system based on transaction types. Comprising a type identification module which is used for collecting transaction order data, carrying out feature extraction on the transaction order data to obtain transaction order features, and taking the transaction order features as input of a type identification model to obtain a transaction type label; the risk assessment module is used for collecting risk data, performing feature extraction on the collected risk data to obtain risk assessment features, and taking the risk assessment features as input of a risk analysis model to obtain risk assessment scores; the payment process is monitored in real time based on the real-time data acquisition technology and the stream computing technology, and when the risk degree exceeds a preset risk threshold value, an early warning mechanism is triggered immediately; according to factors such as the real-time market condition and the performance change of the payment channel, the selection strategy of the payment channel is dynamically adjusted, and a precise payment channel distribution scheme is provided.

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 discloses an intelligent supervision system for online data processing and transaction processing services, and belongs to the technical field of transaction processing supervision. Performing periodic monitoring statistics on all transaction processing businesses of the target, and performing periodic transaction state processing analysis and data combination on the target transaction type according to monitoring statistics data to obtain a local transaction processing business supervision sequence corresponding to the target transaction type in the monitoring period; according to the local transaction processing business supervision sequences corresponding to different monitoring periods, transaction eligibility analysis in different aspects is carried out on a target transaction type to obtain transaction eligibility identifiers corresponding to different aspects, and the transaction eligibility identifiers in different aspects are integrated and analyzed to obtain transaction eligibility identifiers corresponding to different aspects. The target transaction marketing scheme associated with the target transaction type is dynamically managed in a self-adaptive manner; the technical problems of poor autonomous supervision analysis processing effect and poor autonomous optimization management effect of the pre-stored transaction processing business in the existing scheme are solved.

After loss of communications between a cash handling device and a financial institution, transactions may continue to be processed. In one configuration, the transactions may be processed up to a predefined transaction limit. Transaction limits may be defined by a number of transactions, a dollar amount transacted or to be transacted, an amount of time and / or combinations thereof. Additionally or alternatively, the transaction limit may be specific to one or more types of transactions. Transaction data may be stored in memory until communication has been re-established, at which time the data may be transmitted to the financial institution for processing.

The invention provides an extensible general block chain performance boundary measurement method and device. The method comprises the following steps: sending a transaction to a test block chain according to a set transaction type and a sending rate; monitoring the performance index on the chain according to the specified acquisition frequency and acquisition position; after the control module receives the performance index data, the performance index data and the parameter configuration sent to the slave node are combined into a record, and the record is sent to the data storage module of the master node; a parameter optimization module of the main node reads historical data from a data storage module, judges whether the historical data belongs to effective optimization or not to store iterative data, and continuously updates parameter configuration according to an optimization strategy to find a performance boundary forming a test block chain; and according to the performance boundary, determining a group of configuration parameters which meet the optimal performance under the specific demand so as to configure the test block chain to achieve the optimal performance under the specific demand. According to the method, the performance boundary of the block chain system is constructed, so that guidance is provided for performance optimization and configuration parameter setting of the block chain system.

The invention relates to the field of financial science and technology, and discloses a transaction management method and device, equipment and a medium, and the method comprises the steps: obtaining a transaction order generation request; analyzing the transaction order generation request to generate user account information and transaction content information representing a transaction type; when the transaction type is a refund transaction, generating a repeated transaction query request; generating first query information corresponding to the service end and second query information corresponding to the fund management end based on the repeated query request; determining whether the transaction request is a repeated refund request according to the first query information and the second query information; if the transaction request is not a repeated refund request, the refund transaction order is sent to the fund management end to execute a corresponding refund behavior, and whether the refund is returned to the user is determined by querying and retrieving the transaction records of the business end and the fund management end, so that the refund transaction is prevented from being repeated, and the fund management safety of the fund management end is improved.

The invention relates to the technical field of power systems, and discloses an electricity-carbon transaction method based on multi-agent reinforcement learning, and the method comprises the following steps: constructing a deep coupling P2P transaction system architecture containing electricity and carbon transaction participants, and determining the transaction variety of a carbon electricity market; providing a network fee strategy for the power distribution company, and allowing the clearing electricity price of a buyer corresponding to the power distribution company to be discounted adaptively according to the transaction volume; a decomposable reward including the overall transaction fairness of the electricity distribution and sale market and the transaction competitiveness of each market participant is constructed; and a partially observable Markov decision-making process oriented to the deep coupling transaction is provided, and a multi-agent deep deterministic strategy gradient algorithm is adopted to optimize the deep coupling property transaction of the distribution level. The method has the advantage that the competitiveness of a power distribution company can be 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.

A method, system and computer readable storage medium for controlling a state of accounts. In one aspect, the method uses a data structure storing a plurality of transactions representing the state of accounts. The method comprises receiving a request by a node of a plurality of nodes to create a transaction and determining a type of the transaction based on the request. The determined type of the transaction is used to determine whether to add the transaction to a data structure storing a plurality of transactions representing a state of accounts. In response to determining that the transaction is to be added to the data structure, storing the transaction in the data structure based on the determined type to control the state of accounts. The transaction may by stored in the data structure using a link corresponding to the determined type. The determined type corresponds to a type from a plurality of types comprising a retractable transaction and a non-retractable transaction.

The embodiments of the present application disclose a node incentive method, device and electronic device for a sharded blockchain, the method comprising: if a smart contract is stored in the current shard, the packaging node in the current shard executes the smart contract in the transaction message call to obtain a corresponding instruction sequence; the pricing node in the current shard calculates the gas cost according to the instruction type in the instruction sequence; if the smart contract does not exist in the current shard, the transaction message call is sent to the broker node in the current shard, so that the broker node of the current shard broadcasts the smart contract to the broker nodes of other shards; the broker nodes of other shards quote according to the smart contract, so that the broker node of the current shard selects the corresponding shard from at least one quote to execute the smart contract; the present application dynamically adjusts the calculation method of the gas cost according to the transaction type and the instruction type, while meeting the node incentive requirements of the sharded blockchain, it also improves the fairness and reliability of contract execution.

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.

The invention discloses an external transaction monitoring system and method for a gas field gathering and transportation pipeline, and the system comprises a signal receiving device which constructs a plurality of point locations in an area where a to-be-monitored gathering and transportation pipeline is located, and each point location is used for receiving a first microseismic signal in real time, the first micro-seismic signal of each point location is obtained after a second micro-seismic signal emitted by a target source is propagated in an area where the to-be-monitored gathering and transportation pipeline is located; the transaction type identification device is used for extracting signal characteristic parameters of the continuous micro-seismic signals of each point location in a specified time period so as to determine the transaction type; and the transaction area identification device is used for determining one or more effective point locations which actually receive the second micro-seismic signals and position distribution of the effective point locations according to the first micro-seismic signals of the plurality of point locations so as to determine a current transaction area. According to the invention, real-time monitoring, early warning and positioning of the external abnormal movement state of the gas field gathering and transportation pipeline are realized.

Presented herein are system and methods for controlling access to services for processing requests. A server maintains rule sets defined for risk levels to control access to second services. Each of the risk levels defines a respective group of rule sets from the rule sets to apply. The server receives a request including authentication information of a transaction type for an end user device to access a second service. The server determines risk parameters and a challenge threshold. The server identifies a risk level for the request based on the risk parameters. The server selects a group of rule sets to apply for the identified risk level and applies the group of rule sets to the authentication information to perform at least one of a denial, allowance, or challenge of the request of the transaction type using the challenge threshold, for the end user device to access the second service.

The invention discloses a transaction state compensation method and device, electronic equipment and a storage medium, relates to the technical field of data processing, introduces a finite state machine model, processes complex conversion of multiple transaction states in a transaction state compensation process, decouples multiple states of the model and conversion conditions among the multiple states, reduces the program coupling degree, and improves the transaction state compensation efficiency. And a transaction compensation mechanism is easier to maintain. For the to-be-compensated transaction, determining the state compensation time corresponding to the transaction according to the payment service type corresponding to the transaction, the connected payment channel and the industry party; according to the embodiment of the invention, the transaction state compensation process corresponding to the transaction is executed based on the state compensation time, and the corresponding state compensation time is dynamically matched according to the transaction type, so that the possible situation that the payment transaction is still abnormal after the transaction compensation is finished can be avoided, and the timeliness of the transaction state compensation can be improved. And an asynchronous dynamic thread pool is introduced to decouple payment, charge-off and return processes involved in transaction compensation. And the robustness of a transaction compensation mechanism is improved.

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 transaction anomaly detection method, device and equipment for a financial system and a storage medium, and the method comprises the following steps: firstly, obtaining transaction data of each transaction account in the financial system, and building a transaction behavior model; secondly, extracting transaction features of each account, comparing the transaction features with a normal threshold value, and marking the features deviating from the threshold value as abnormal features; then, abnormal features are analyzed through a clustering algorithm, and the account with the high abnormal degree is defined as a suspicious account; and then, respectively defining the transaction type, the account and the data as nodes with different weights, and outputting the nodes to the suspicious account. Then, initializing node positions and obtaining a correlation weight sum; and iteratively updating node positions through a global optimization algorithm to maximize the sum of association weights, and finally determining an abnormal detection position. According to the invention, the abnormal transaction behavior in the financial system can be effectively identified and positioned, and the transaction security and the risk prevention and control capability are improved.

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.

The invention relates to the technical field of cross-chain communication, in particular to a cross-chain method and system between block chains, and the method comprises the following steps: obtaining a position range on a field chain, generating call boundary information, extracting a transaction state and sequence judgment conflict, sorting a field path list, checking a protocol structure to generate an exclusion path, and screening a recommended field structure sequence. A communication identifier is generated and written into a configuration table, and path identification number items are formed. According to the method and the device, the position range of the field in the on-chain structure is constructed, so that the life cycle boundary is accurately identified, the field positioning and context association capability is enhanced, the conflict path is judged based on comparison of the transaction type and the state data, the field consistency control is improved, the structure continuity matching field combination is screened, and the target chain field adaptability is enhanced; and the communication path identifier is generated in combination with the structural abstract, so that the cross-chain path identification efficiency and configuration accuracy are improved, and the stability and verifiability of inter-chain data collaboration are realized.

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 block chain concurrent transaction control method and system, and the method and system solve the transaction conflict problem from the mechanism of transaction conflict through the linkage relation among an execution module, a sorting module and a verification module, divide the writing behavior into effective writing and common writing, and modify the reading and writing set representation mode, so as to achieve the functions of each module. Specifically, processing and on-demand caching of transaction data are completed by designing an execution module with a caching function, a transaction dependency relationship is determined based on a read-write set representation mode through a sorting module, so that a transaction conflict graph is determined, the transaction conflict graph is processed to complete topological sorting of the transaction data, and the transaction data are verified through a verification module. And according to the target variable processed by each transaction data and the transaction type of each transaction data, performing transaction verification and obtaining a transaction result so as to complete a corresponding transaction behavior. Therefore, the transaction conflict problem of the block chain of the related framework in the transaction process is solved, so that the transaction efficiency and effectiveness are improved.