276 results about "Transaction management" patented technology

A System for providing Interactive Transaction Frameworks, utilizing biometric authentication and semantic web technologies is disclosed. The system registers users with a unique biometric-based identifier, and employs ontologies, schemas, and knowledge graphs to create a semantic foundation. A Large Language Model integrated with the Knowledge Graph Module enables intelligent processing of Interactive Transaction data. The system composes Interactive Transactions with fields mapped to semantic triples, maintains them in an Interactive Transaction Library, and manages user permissions. A Transaction Publishing Platform facilitates Interactive Transaction distribution and submission-response cycles. The system refines inputs and responses, determining outcomes based on these interactions. The system offers a sophisticated, secure, and adaptable approach to Interactive Transaction management and processing across various domains.

The present invention relates to a system (100) and method (300) for automated product validation, identification, and transaction management in shopping environments. The system (100) integrates a smart shopping cart (102) equipped with at least one camera (106), a load cell (108), and a user interface (110). An AI model trained on a dataset of high-resolution, 360° product images generate unique image embeddings for each product. The system performs multimodal validation by comparing the extracted image embeddings, measured weight data, and scanned barcode information with reference data stored in a vector database. Further, discrepancies, such as unscanned products or mismatches, are flagged, and payment is blocked until resolved.

The invention relates to the technical field of distributed system transaction management, and discloses an inventory consistency management method and device based on distributed transactions, and the method comprises the following steps: pre-occupying an inventory, and recording the state information of the inventory to a Redis hash structure; after the inventory is pre-occupied successfully, generating a pre-deducted snapshot, generating a compensation identifier, and writing the pre-deducted snapshot and the compensation identifier into a MySQL transaction log together; verifying the uniqueness of the compensation identifier, and submitting the current database transaction after the uniqueness of the compensation identifier is confirmed; when the submission of the current database transaction fails, executing a compensation operation on the current database transaction; and after the compensation operation is executed, performing data consistency verification on the MySQL transaction log and the Redis hash structure. According to the method and the system, the consistency of inventory management during distributed transaction processing is highly guaranteed.

The invention relates to a data transaction quality evaluation automatic optimization method under multi-source data fusion, and relates to the technical field of data transaction management, and the method comprises the following steps: data collection and preprocessing: collecting multi-source data including data meta-information, third-party verification data and transaction historical data; a data quality evaluation model: constructing a data quality evaluation index system, and obtaining the data quality evaluation model by using the decision tree; and automatically optimizing and executing dynamic optimization, outputting a data quality score according to the evaluation model, and automatically executing a data cleaning, supplementing or encrypting optimization strategy based on a score result. The method is beneficial to improving data quality, reducing manual intervention, improving efficiency and reducing cost.

The invention relates to the technical field of intelligent abstract generation, in particular to an intelligent archive abstract generation system and method based on a natural language processing technology. The system comprises a multi-layer semantic generation core unit which performs semantic hierarchical segmentation analysis on an original file text to construct a multi-layer semantic graph, and constructs an abstract generation model to generate abstract content; the knowledge graph fusion engine unit associates and extracts terms in an original file text, constructs an entity mapping relation, and sets semantic graph node expression weights in an abstract generation model according to semantic association confidence scores; a paging index cache retrieval unit performs fragment division processing on each node in the multi-layer semantic graph, and constructs an abstract content fragment index structure containing a node set; and the version tracing transaction management unit carries out version recording on generation and modification operations of the abstract contents. The invention discloses an intelligent archive abstract generation system which is constructed by fusing a multi-layer semantic graph and is associated with a knowledge graph.

The invention discloses a transaction management method and server based on dynamic SQL (Structured Query Language) processing, and the method comprises the steps: determining a to-be-executed business process in response to a received API (Application Program Interface) request of a user terminal; decomposing the business process to be executed into a plurality of process nodes; identifying a transaction node group in each process node, and declaring a joint transaction for all the transaction node groups; for each transaction node, obtaining a corresponding target SQL statement, and dynamically modifying the target SQL statement; executing the dynamically modified target SQL statement, and packaging the dynamically modified target SQL statement into a transaction operation unit under the condition that the dynamically modified target SQL statement belongs to the joint transaction; executing all the encapsulated transaction operation units, and submitting or rolling back the joint transaction to obtain an execution result; and returning an execution result to the user terminal. According to the method and the device, the problems of difficulty in dynamic SQL construction, SQL injection risk and poor maintainability can be effectively solved.

The invention discloses a cross-department collaboration-oriented land transaction intelligent decision support method, particularly relates to the technical field of land transaction management, and is used for solving the problems of decision tense chaos and low approval efficiency caused by data timeliness difference in the prior art. The method comprises the following steps: acquiring real-time monitoring and periodic revision data of multiple service units, adding timestamps, and identifying time window differences to extract an associated data set; dynamically aligning timestamps and generating timeliness weights on the basis of flow topological characteristics and information orderliness analysis, constructing a space-time propagation path map, screening high-weight paths, and realizing dynamic splicing of lagged data and real-time data; an approval path scheme with timeliness alignment is generated through rule base matching and a risk early warning mechanism, and risks are detected in real time during execution to dynamically adjust a priority sequence, so that the consistency and execution efficiency of cross-department decision making are improved, and the compliance risk of land resource management and control is reduced.

The invention relates to the technical field of computer hardware and network communication, in particular to a high-speed I / O (input / output) virtualization server based on an FPGA (field programmable gate array) and a remote forwarding method.The high-speed I / O virtualization server comprises an FPGA chip, a network processing unit, an I / O protocol processing unit, a protocol conversion and scheduling unit, a time sequence and transaction management unit and a data buffering and flow control unit are integrated in the FPGA chip; the optical fiber Ethernet interface module comprises a physical layer interface and an MAC layer processing and network configuration interface; the local I / O interface module comprises a USB interface circuit, a serial port interface circuit, a PCIe interface circuit and an interface expansion connector; the power supply and monitoring module comprises a multi-path power supply management system, a state monitoring and diagnosis system and an LED indication system; according to the self-adaptive Baud rate detection circuit, the Baud rate can be accurately locked under the condition that data with less than two characters is received, the number of data bits, the type of a check bit and the length of a stop bit are automatically identified, and compared with a traditional microcontroller scheme, the self-adaptive Baud rate detection circuit has higher precision and higher detection speed.

The invention relates to the technical field of game transaction management, and provides a game user abnormal transaction behavior identification method and system, and the method comprises the following steps: S1, obtaining the transaction of a user, the behavior in a game, social relation data and the multi-modal data of an equipment environment, constructing a personalized behavior baseline based on the historical data of the user, generating a user normal behavior sequence; and S2, regarding the user as graph nodes, transactions, behaviors, social contact and equipment association as edges, constructing a dynamic transaction relation graph, and analyzing the updated transaction relation graph according to an edge weight calculation result. A dynamic transaction model is constructed by using a dynamic transaction construction module, and a reinforcement learning strategy module is combined, and a dynamic adjustment detection strategy and model parameters are fed back in real time according to a game environment, so that changes of economic system adjustment, new transaction mode occurrence and the like in a game can be effectively coped with, and efficient recognition capability on abnormal transaction behaviors is continuously kept; the defect of poor adaptability of a traditional static model is overcome.

The invention relates to a goods transaction management platform based on a goods counting code and an intelligent verification technology, and the platform comprises a goods counting code generation module, a goods tracking module, an intelligent verification module, a transaction integration module, an intelligent contract module, and an analysis module. The block chain technology is combined to record cargo circulation information, so that full-process tracing is realized; the cargo tracking module collects data such as position and environment in real time through Internet of Things equipment, and provides dynamic monitoring and abnormal early warning for environment-sensitive cargos. The intelligent verification module is combined with the Internet of Things technology to ensure the authenticity of goods information; the transaction integration module supports order management, payment confirmation, refund processing and logistics synchronous sharing; the intelligent contract module automatically executes contract terms based on a block chain technology, so that the transaction efficiency and reliability are improved; and the analysis module carries out risk prediction through a time sequence analysis and anomaly scoring method.

An interface display method relates to the field of terminal software, and comprises the following steps: receiving a first operation, and displaying an event card management interface which comprises a thumbnail of at least one event card; wherein the unfolded event card comprises a plurality of sub-task cards, and each sub-task card is a trigger entrance of a sub-function of an application; and receiving a second operation, and switching the event card management interface into an application window management interface. According to the application, a plurality of sub-task cards are aggregated in one event card, each sub-task card is used as a trigger entry of one sub-function of the application, and when the corresponding sub-task card is selected, the terminal can jump to the corresponding application, so that a user can operate by taking the sub-task under the event as granularity, and when transaction management is carried out, the user experience is improved. According to the embodiment of the invention, different applications do not need to be clicked, and the corresponding application can be triggered by directly selecting the subtasks under the event card, so that the operation cost of a user is reduced.

An inventory management system for managing inventory ownership in a shared inventory space is described. The system includes receivers configured to receive data from sources external to the inventory management system. Transmitters are configured to transmit data to sources external to the inventory management system. A bundle generation is configured to receive transfer data from a first user via the one or more receivers indicating a group of items to be made available for a transfer of ownership. The transfer of ownership of the group of items is to be made as a single transaction. The system processes the received transfer data and generates a bundle data record of data parameters based on the transfer data. A transaction management processor provides information identifying available groups of items available for transfer of ownership and a transaction fulfilment processor provide the item data to the transaction management processor.

The invention provides an automobile leasing system based on information interaction, and the system comprises a user terminal module which is used for receiving leasing demand information inputted by a user and displaying a leasing matching result and transaction information; the vehicle terminal module is integrated in a rented vehicle, collects vehicle state data in real time and uploads the vehicle state data to the cloud server; the server module comprises a demand matching unit, a transaction management unit and an information interaction unit; relates to the technical field of automobile leasing. According to the system, information interaction is taken as a core, and an automobile leasing closed loop covering a whole chain of demand submission, resource matching, contract execution, automobile control, data collaboration and default arbitration is constructed, so that a leasee, a lender and an insurance party can complete decentralized signing through digital signatures; and ciphertext amount verification and automatic account division are carried out depending on a homomorphic encryption technology adopted in a payment link, so that transaction privacy and real-time performance are ensured.

The invention provides an Internet of Vehicles cross-domain data sharing system and method based on a double-layer block chain architecture. The system comprises a double-layer block chain communication module, a double-layer block chain service module and a double-layer account book module which are in communication connection with one another; the double-layer block chain communication module is used for performing dynamic communication management through dynamic fragment coordination, intelligent routing decision and zero-knowledge proof lightweight verification technologies; the double-layer block chain service module comprises a double-chain collaborative scheduling sub-module and is used for performing multi-type service management through a cross-domain consensus protocol, dynamic key management, global federated learning, cross-chain hierarchical verification and a resource scheduling optimization technology; and the double-layer account book module is used for carrying out storage and transaction management through a layered account book structure and a lightweight consensus mechanism. Through the double-layer block chain architecture, account book fusion and cooperative scheduling, the data sharing efficiency in the Internet of Vehicles environment is significantly improved, the communication overhead is reduced, and the security of the system and the data credibility are enhanced at the same time.

The invention particularly relates to a distributed time series data cross-node atomic writing and transaction management method. According to the distributed time series data cross-node atomic writing and transaction management method, a coordination node receives a time series writing request, generates a unique TID and issues the unique TID; the storage node writes the data into a pre-write log WAL, marks the data as pending, and establishes mapping between the TID and log entries; the cooperative node sends a pre-submission instruction, and the node responds after being ready; and if verification is passed, broadcasting submission is carried out, a formal storage update version is written, otherwise, rollback is carried out, operation is cancelled according to WAL, and finally associated logs and states are cleared. According to the distributed time series data cross-node atomic write-in and transaction management method, end-to-end atomicity, consistency, low delay and rapid recovery of cross-node time series data write-in are achieved, a write-in path only needs one-time WAL write-in, synchronous blocking is avoided, and the concurrent throughput performance is remarkably improved; and the scheme does not invade an upper-layer application interface, and can be reused in any distributed storage system supporting the WAL.

The invention provides a three-party transaction intelligent feedback optimization method and system. Belongs to the technical field of three-party transaction management, and the method comprises the steps: carrying out the real-time collection of transaction data from a plurality of data sources through a distributed data collection algorithm, and carrying out the preprocessing of the collected transaction data; performing deep feature extraction on the preprocessed data by using a deep learning model, constructing a transaction relation graph by using a graph neural network, and forming a complex transaction network by taking entities as nodes and transaction behaviors as edges; and based on the depth features, performing user sentiment analysis by adopting a depth belief network, and identifying positive, negative or neutral sentiment in user feedback. By integrating various advanced technical means including distributed data acquisition, a deep learning model, a graph neural network, reinforcement learning, a recommendation system, a block chain technology and the like, an intelligent feedback optimization method is provided for three-party transaction.

In the present application, a shared memory is created by means of an mmap function provided by an operating system, wherein a mapping relationship is established between the shared memory and a corresponding specific file among disk files; when data is written into the shared memory, the operating system synchronizes data in the shared memory to the disk files in real time, wherein the shared memory can be used to realize a cached data writing process and a data query process with respect to the disk files; and when cached data exceeds the capacity of the shared memory, an LRU eviction algorithm automatically deletes old data and then writes new data, wherein the shared memory is divided into a lock management area, a data area, a hash bucket area, an algorithm management area and a transaction management area, the lock management area is used for controlling the modification of hash table critical section data to ensure that only one process can modify the critical section data at the same moment, a shared lock is added by means of the lock management area during data writing and reading, and the transaction management area is used for ensuring whether modification is executed, and is responsible for, when a process exits abnormally, cleaning up unreleased locks and rolling back intermediate state transactions.

The invention relates to the technical field of computer aided design, and provides a multi-level revocation recovery method of a CAD system, the method comprises the following steps: receiving a user operation instruction through a transaction management module and generating a corresponding operation set, the operation set comprising a plurality of atomic operation units; analyzing geometric objects related to the operation set and the incidence relation of the geometric objects, and constructing a directed dependency graph with the geometric objects as nodes and the dependency relation between the objects as edges; according to the topological structure of the directed dependency graph, sequence adjustment and operation filling are carried out on the atomic operation units in the operation set, and an operation sequence conforming to dependency constraints is generated; and when the revocation or recovery operation is executed, executing the atomic operation units in the operation sequence according to the reverse topological sequence or the forward topological sequence. According to the technical scheme, high efficiency and consistency of revocation and recovery operation can be guaranteed, and the performance and reliability of the system are remarkably improved.

The invention belongs to the technical field of power transaction management, and particularly relates to an MCP-based power transaction aid decision-making method, which comprises the following steps of: receiving and standardizing a user request through an MCP client layer; the MCP arrangement gateway analyzes the request, and dispatches and activates a corresponding MCP server agent group; the agent group obtains power operation data, historical transaction data, prediction model data and policy support information by calling the service API group, and completes data processing and task execution; the arrangement gateway integrates, verifies and formats the processing results of the intelligent agents; and finally, feeding back a unified response result to the user. According to the invention, standardized interaction and context sharing among multi-source data, heterogeneous models and business functions are realized through the MCP protocol, a modularized and extensible agent collaborative decision framework is constructed, and the efficiency, accuracy and policy compliance of power transaction decision are effectively improved.

The invention relates to the technical field of application of a block chain in a virtual power plant, in particular to a resource aggregation layer distributed consensus method and system, and the method comprises the steps: completing node registration and identity authentication; the nodes are calculated and clustered to form a double-layer network structure; and consensus is carried out on the nodes according to a preset process. The method has the advantages that the defects of a traditional consensus algorithm in the aspects of energy consumption, transaction processing speed and large-scale node communication overhead are effectively overcome by adopting the preset consensus process, and efficient and safe resource aggregation and transaction management are achieved; a key negotiation algorithm based on a Schnorr protocol and a DH algorithm is adopted, so that the calculation and communication cost is reduced, a safe and reliable communication channel is provided for a distributed system, and the anti-attack capability of the system is enhanced; through a node reputation value calculation method integrating multiple factors and a target K-means algorithm, a multi-consensus-group double-layer network structure is formed, the communication overhead is reduced, and the consensus efficiency and the system stability are improved.

The invention discloses a distributed transaction coordination system for a high-concurrency scene, and particularly relates to the technical field of distributed computing and transaction management. The system comprises a transaction manager, a resource agent group and a log storage module, the transaction manager receives a transaction request, generates a global transaction identifier and maintains a state machine, and an internal fragment coordinator routes the transaction to different processing fragments according to a consistent Hash algorithm for parallel coordination; the resource agent group is connected with each resource node, executes local operation and reports a state through an asynchronous batch mechanism; and the log storage module adopts a multi-copy distributed structure to persist transaction logs. Through fragment parallel processing, asynchronous state reporting and multi-copy log cooperation, the system throughput is effectively improved, the transaction delay is reduced, and the final consistency and high availability of distributed transactions are guaranteed.

On-chain data as well as off-chain data for a blockchain ecosystem is collected by a management server. The management server generates a cross-chain graph representation based on the collected on-chain and off-chain data. The cross-chain graph representation includes a plurality of nodes representing blockchain addresses and a plurality of edges representing transactions made between at least a portion of the plurality of nodes. The management server applies one or more machine learning (ML) models to the cross-chain graph representation to detect suspicious anomalies in the cross-chain graph representation. Upon determination that one or more suspicious anomalies have been detected in the cross-chain graph representation above a dynamic model-based threshold value, an alert indicating a security incident may be generated. In addition, a supervised ML model may be applied to the cross-chain graph representation for classifying the type of the security incident.

Systems, computer program products, and methods are described herein for the orchestration of mobile exchange utilizing decentralized non-fungible token identification and secure near-field communication. The invention enables a device to manage a series of operations including receiving transaction requests via a customer application, activating a teller selection algorithm, and generating necessary notifications for transaction management. The system handles secure exchanges of physical funds through near-field communication, reinforced by the generation of unique transaction IDs and public keys for enhanced security. Additionally, all transaction details are meticulously recorded on a distributed ledger, ensuring the integrity and traceability of each transaction.

The present invention provides an AI-driven real-time auction system for live events, integrating dynamic pricing, sentiment analysis, fraud detection and personalized recommendations. The system enables users to bid on event-specific memorabilia through an User Interface module, with a backend architecture utilizing microservices for scalability. AI-driven sentiment analysis adjusts bid increments based on audience excitement, while dynamic pricing module optimize auction value. Fraud detection employs machine learning and blockchain-based logging to ensure bid integrity. Multi-language support and AI-generated storytelling enhance global engagement. Secure payment processing and post-auction analytics provide seamless transaction management and user insights. By leveraging AI automation, the system maximizes auction participation, enhances user experience and optimizes revenue generation for event organizers and venues.

The embodiment of the invention provides a data transaction management method and device, electronic equipment and a storage medium, and relates to the technical field of emerging information, and the method comprises the steps: obtaining multi-source data corresponding to a data transaction, carrying out the standardization processing of the multi-source data, and obtaining transaction data corresponding to the multi-source data; performing template matching according to the transaction data to obtain a target smart contract corresponding to the transaction data; obtaining an evaluation model for real-time value evaluation, inputting the target smart contract into the evaluation model for evaluation, and obtaining an evaluation result for the target smart contract; and under the condition that the evaluation result represents that the target smart contract passes, according to the target smart contract, executing an on-chain operation for the transaction data, and obtaining a processing result corresponding to the transaction data, thereby ensuring the accuracy, integrity and normalization of the data, improving the flexibility and adaptability of the smart contract, improving the observability of the transaction process, and improving the user experience. The transaction efficiency and quality are improved, and the transaction security is ensured.

Techniques for managing network transactions are disclosed. An attribute associated with data to be communicated to one of the first and the second set of nodes in a subsequent transaction is determined. The attribute is then translated into a divisible form made of discretized elements. One or more discretized elements are then determined from amongst the discretized elements, where each determined discretized element identifies a portion of the data. A portion identification signal is then generated based on the determined discretized elements to identify portions of the data. Further, the portion identification signal triggers association of a digital credential with each of the identified portions. An authentication status is then determined for each of the identified portions based on the digital credential associated therewith. Based on the authentication status, occurrence of the transaction may be permitted between the first set of nodes and the second set of nodes.

Techniques for augmenting transparency of published transaction data are described. The techniques can include one or more of associating a financial account with an account of a user at a transaction management platform, receiving transaction data from the financial account, categorizing the transaction data, publishing the transaction data, assigning permission levels to user for different levels of access to the amount and granularity of published transaction data, storing an immutable record of transaction data from which changes to the transaction data can be determined, and enabling crowd intelligence about the entity, account, or transactions by recording interaction of users of the published transaction data.

The invention discloses an electric energy transaction system, and relates to the technical field of electric power, and the system comprises a power generation management module which is used for supporting the information input of different types of power generation subjects, such as thermal power, hydroelectric power, wind power, photovoltaic power, energy storage power stations, virtual power plants and the like; the power consumption management module is used for dividing transaction permissions according to user types and power consumption scales; the transaction management module is used for connecting the power generation side and the power utilization side and needs to adapt to rules of various transaction varieties; and the settlement management module is used for undertaking whole-process functions such as transaction data integration, accurate expense accounting, fund circulation management and control, settlement dispute processing and the like, and needs to ensure legal earnings of subjects such as a power generation party, a power utilization party and a power selling company and the like. According to the electric energy transaction system, through optimization of resource configuration and reduction of transaction cost, remarkable economic benefits are brought to a power generation party and a power utilization party, accurate distribution of electric power resources is realized in the aspect of resource configuration, energy waste and idleness are reduced, and energy utilization efficiency is improved.

The invention provides a transaction data security management method and system based on a block chain, and the method comprises the steps: constructing a transaction management block chain which is composed of a main chain and a sub-chain, and achieves the inter-chain connection and connection data connection through a trusted cross-chain relay; wherein the main chain is composed of management layer nodes, the main chain stores necessary index information of a transaction object, the sub-chains are composed of transaction account nodes managed by a management layer, the sub-chains store attribute information of the transaction object, the main chain accesses complete transaction object information of the sub-chains through the trusted routing module, and cross-domain access is achieved between the sub-chains through the trusted routing module; each node of the sub-chain serves as a transaction initiator to initiate a transaction instruction, the node requesting the cross-chain transaction verifies the transaction instruction according to the stored routing table and based on the routing contract, and then sends a cross-chain transaction request to neighbor nodes on the routing table in a multicast mode, so that the processing of messages in the cross-chain and the cross-chain transaction between the nodes are realized.