3767results about "Payment protocols" patented technology

An example operation may include one or more of generating a dynamically-modifiable image comprising a plurality of pieces of interconnected content via an image generating model and displaying the dynamically-modifiable image via a user interface of a software application, installing a smart contract that includes an identifier of an owner of the dynamically-modifiable image on a blockchain ledger, detecting removal of a piece of content from among the plurality of pieces of interconnected content based on user inputs via the user interface, detecting addition of the removed piece of content to a different dynamically-modifiable image of a different user, and in response to the detected addition, executing an electronic payment transaction to transfer value from the owner of the dynamically-modifiable image to the different user based on the smart contract installed on the blockchain ledger.

An example operation may include one or more of generating a unique image comprising a plurality of image segments via an image generating model and displaying the unique image via a user interface of a software application, installing a smart contract associated with the unique image on a blockchain ledger, detecting a command to move an image segment from among the plurality of image segments based on user inputs via the user interface of the software application, removing the image segment from the unique image and adding the image segment to a different image based on the detected command, and transmitting the different image to a user account of the software application.

A system and method for integrated optimization of autonomous electric vehicle fleets across transportation and electricity networks which employs artificial intelligence to dynamically allocate autonomous electric vehicles between mobility services and electricity grid services based on real-time conditions. The platform acquires data including energy mix forecasts, earth observation measurements, vehicle owner schedules, and emission-based route penalties to generate coordinated allocation decisions. Vehicle owners specify availability through a scheduling interface. The system optimizes vehicle utilization through a hierarchical optimization approach implementing mobility demand-side flexibility and electricity demand-side flexibility simultaneously. Multi-objective genetic algorithm optimization balances revenue generation, energy costs, emissions reduction, and battery health. The integrated approach maximizes value creation across both transportation and energy domains, reducing urban emissions while enhancing grid stability through coordinated management of distributed energy resources in autonomous electric vehicle fleets.

To solve the problems of fractured identity across multiple blockchains, these methods and systems allow for a single unified identity to be managed and resolved across multiple chains within an interop network. By leveraging message passing, identity records can exist securely across different chains. The system incorporates counterfactual blockchains, enabling trust-minimized name registration that reduces costs while maintaining decentralization and security. ENS name resolution is supported across both onchain and offchain environments, with verifiable proofs ensuring efficient resolution. By structuring message passing and utilizing decentralized indexers, these methods and systems provide a scalable and reliable framework for cross-chain identity.

A decentralized artificial intelligence platform is disclosed that enables secure sharing and execution of AI modules in sensitive application domains. The platform comprises a knowledge module registry for discovering specialized AI modules, a security framework enforcing structural integrity of AI modules, a zero-knowledge proof validation service for verifying usage conditions without exposing private data, and a blockchain-based value chain for managing smart contracts and payments. In operation, an AI agent can fetch a required AI module from the knowledge module registry, prove the right to use it, execute the AI module on local data, and automatically pay the AI module's provider through a blockchain transaction.

Systems and methods for staking instrument cryptocurrency rewards and validator management are disclosed. The systems and methods include generating validator pods associated with cryptocurrency staking validation and generating validator keys configured to be utilized by the validator pods for validating proof of stake operations. A subsets of the validator keys may be assigned to the validator pods and a request to perform the proof of stake operations may be received. A validator pod may be provisioned for validating proof of stake operations, and the validator node may be utilized to validate proof of stake operations based on the selected validator node being a compliant validator node.

To support offering a voucher to a target user appropriately.SOLUTION: An information processing system includes: an acquisition unit which acquires identification information of users for an electronic settlement service and application requests for purchasing electronic vouchers; a drawing unit which holds a lottery based on the requests and the number of electronic vouchers that the users applied for, to extract a user who can purchase the electronic voucher from among the multiple users who applied for purchasing the electronic vouchers; and a processing unit which displays content to accept purchasing the electronic voucher via electronic payment, on a display unit of a terminal device of the user who won the lottery.SELECTED DRAWING: Figure 1

A system to track to model asset states and access by utilizing non-fungible tokens (NFTs). The system includes a data processing system including memory and one or more processors to receive a stating request for an asset, obtain, based on a plurality of control structures, a plurality of NFTs, each of the plurality of NFTs including a link with a metadata object including metadata of a state of the asset, encapsulate the plurality of NFTs within a container, receive, from the remote device, a state request for an asset state corresponding to a first NFT, the state request including a security token, obtain, from the metadata of the first NFT, one or more recorded security tokens, compare the security token to the one or more security tokens, and, in response to the security token matching the one or more security tokens, transmit the first NFT to the remote device.

The invention discloses a distributed supply chain traceability system and method supported by a block chain, and relates to the field of data analysis, and the system comprises a collection module which is used for capturing the original data of a supply chain in real time through an Internet of Things sensor, and cleaning the data; the processing module is used for constructing a distributed account book based on a HyperledgerFabric architecture, performing hash encryption on the data, performing uplink storage on the data, packaging the data into blocks according to a time sequence, and completing data verification between nodes through a BFT consensus mechanism; according to the invention, full-link data of production, logistics and the like are captured in real time through the Internet of Things sensor and encrypted and chained, so that the data cannot be tampered and can be traced in the whole process, and the problems of easy data tampering and many breakpoints in traditional traceability are solved.

An artificial intelligence driven system of systems may include a layered architecture for providing transaction support to various types of enterprises. A governance layer implements automated governance and policy enforcement through specialized governance modules utilizing generative AI technology. An enterprise layer supports enterprise functions by integrating management and control platforms with digital infrastructure. An offering layer creates and manages system offerings via content generation, personalization, and smart product modules. A transactions layer enables automated transaction orchestration through API integration, execution, and fulfillment modules. An operations layer manages AI systems through generation, training, verification and orchestration modules. A network layer provides adaptive networking capabilities through routing, protocol selection and communication modules. A data layer processes fused data from multiple sources using machine learning and AI systems. A resource layer manages computing, storage, and other resources through specialized resource modules.

The invention discloses an anti-counterfeiting traceability system and method based on Beidou satellite positioning and a block chain. The method comprises the following steps: generating a current positioning data tuple; performing validity judgment on the satellite signal quality index; generating current event summary information, performing encryption calculation on the event summary information by using a private key embedded in a commodity and improving a verifiable random function, and outputting a random seed and a verification proof; constructing an event fingerprint and generating an event signature by using a private key; a challenge request is generated when the commodity request state is migrated, the commodity end device responds to the challenge request and collects new Beidou positioning information, and a challenge response data packet is constructed; and performing consistency verification on the challenge response data packet according to the virtual state resume smart contract, writing the verified data into a geographic sub-chain, recording an event abstract hash path by a main chain, and updating a commodity state transfer path. According to the invention, based on Beidou positioning and an improved verifiable random function, the credible verification of the commodity position and the traceable management of the state are realized.

Disclosed are various embodiments for efficiently creating non-fungible tokens. A smart contract can receive a non-fungible token (NFT) creation request that specifies a number of non-fungible tokens (NFTs) to create. The smart contract can then create a plurality of NFTs equal to the number of NFTs specified in the NFT creation request. The smart contract can subsequently assign each of the plurality of NFTs to a blockchain address. Finally, the smart contract can store, in a single operation, the plurality of NFTs to the blockchain.

The invention relates to the technical field of financial accounting and artificial intelligence combination, in particular to an artificial intelligence-based financial data identification and accounting method, which comprises the following steps of: firstly, calculating a fractal dimension by using a multi-level grid splitting technology, and constructing a fractal financial semantic map covering transaction and exchange entities; and performing interference operation by using a quantum mixing aggregator, fusing fractal atlas attributes and subject candidate results to obtain interference scores, and performing symbol rule screening or manual auditing confirmation to generate calibrated subject information. Then, the subject information is used for automatically generating an accounting entry and performing account book archiving, and the whole decision process is recorded under the quantum hash technology; by continuously analyzing archived decision data, the system can adaptively adjust fractal dimension calculation and interference parameters, and precise recognition and efficient accounting of complex financial data are realized.

The invention discloses a data transaction privacy protection method based on a block chain, belongs to the technical field of data sharing, and aims to solve the technical problem of how to ensure data privacy and ensure traceability and transparency of data transaction in Internet of Things data transaction. Comprising the steps that a data buyer performs data validity verification based on a zero-knowledge proof submitted to a block chain by a data seller, after verification is passed, the data seller generates a re-encryption key based on a private key of the data seller and a public key of the data buyer and uploads the re-encryption key to a proxy node, the proxy node re-encrypts a related ciphertext based on the re-encryption key, and the data seller sends the re-encrypted ciphertext to the data seller; the obtained re-encrypted ciphertext is uploaded to the IPFS, a content identifier returned by the IPFS is written into the block chain, and the block chain writes the content identifier corresponding to the re-encrypted ciphertext into the smart contract; and after the data buyer pays, the re-encrypted ciphertext is obtained from the IPFS based on the content identifier returned by the block chain, and the re-encrypted ciphertext is decrypted based on the private key.

The invention relates to the field of electricity transaction, in particular to an electricity transaction intelligent algorithm platform based on block chain consensus. The method comprises the following steps: acquiring a real-time green electricity encrypted data set, uploading the real-time green electricity encrypted data set to a block chain node, and generating an unactivated digital green certificate data set; based on the non-activated digital green certificate data set, generating a grid-connected verification instruction, updating the non-activated digital green certificate data set to a tradable state, and generating a tradable digital green certificate data set; obtaining a power grid dynamic parameter set, and generating a green certificate time pricing data set through a space-time right dynamic pricing strategy based on the power grid dynamic parameter set and the tradable digital green certificate data set; and according to the green certificate time pricing data set, the digital green certificate is cancelled after verification in the power utilization process of the user, and a green power consumption traceability report is output. In the green electricity transaction process, fair and orderly development of the green electricity transaction market is promoted.

Embodiments are directed toward a blockchain system including a global state and an assemblage of blocks, each block representing a collection of state transformation records, each state transformation record describing a state transformation performed on the global state, where preceding blocks referenced by any given block contain state transformation records describing state transformations performed on the global state prior to the evaluation of the given block, and where at least one state transformation record is a zero-knowledge transformation record encoding a zero-knowledge state transformation description, which zero-knowledge transformation record comprises at least the following elements: paths identifying the locations of the elements of a discrete data subset, a revised data subset, and a transition proof implemented as a non-interactive zero-knowledge proof, which transition proof proves that the transition from the discrete data subset to the revised data subset follows the established rules of the blockchain system.

Token minting environment includes a physical token minter that is accessible to a group of users. A user initiates a session to mint a non-fungible token associated with an image that the physical token minter generates. When the session is established, the physical token minter connects with a digital wallet associated with the user. The physical token minter identifies a physical interaction provided by the user, such as the user pulling a lever or pressing an input button that is proximate to the physical token minter. Upon identifying the user interaction, the physical token minter responds by triggering the creation of an image and the minting of a non-fungible token that links the image to the wallet of the user. The physical token minter then provides a digital representation of the image and an indication that a token for the image has been added to the digital wallet.

The invention relates to the field of risk management of e-commerce transaction behaviors, in particular to an e-commerce transaction behavior risk management method and a storage medium. The method comprises the following steps: collecting transaction data, analyzing the transaction data by using a transaction behavior analysis model based on a deep residual network (ResNet) and an attention mechanism, and identifying an abnormal transaction mode; in combination with a natural language processing (NLP) technology, performing sentiment analysis on user comments, social media and news, and predicting a transaction risk; an analysis result is input into a smart contract based on the block chain, a transaction rule is automatically executed, and transaction transparency and security are improved; a distributed account book technology of a block chain is utilized to ensure that transaction records cannot be tampered, and data security is enhanced; and a multi-mode biological recognition technology is adopted, so that the accuracy and safety of user identity verification are improved.

The invention relates to the technical field of transaction verification, in particular to a block chain financial transaction tracing method and system, and the method comprises the following steps: calculating a node interaction proportion, recognizing illegal chain segments and marking nodes, analyzing a field combination sequence matching path structure, judging numbering jump and behavior path pairing, and extracting a field corresponding relation and a matching difference. And identifying a node state offset and a structure jump trend, and generating a state chain segment backtracking section record. According to the method, the interaction frequency and the behavior type proportion are introduced to serve as the node state recognition basis, dynamic credible judgment of boundary nodes is achieved, the recognition precision of chain segment structure interruption is enhanced through the path field combination sequence and the serial number continuity, the serial number jumping behavior and node action offset are combined, the chain jumping path recognition capacity is optimized, and the reliability of the system is improved. The field consistency verification effect is improved by adopting field logic pairing and value domain offset comparison, and the backtracking positioning capability of the broken link node is enhanced by using a path state offset and backtracking pointer association strategy.

A system to track to model asset states and access by utilizing non-fungible tokens (NFTs). The system includes a data processing system including memory and one or more processors to receive a stating request for an asset, obtain, based on a plurality of control structures, a plurality of NFTs, each of the plurality of NFTs including a link with a metadata object including metadata of a state of the asset, encapsulate the plurality of NFTs within a container, receive, from the remote device, a state request for an asset state corresponding to a first NFT, the state request including a security token, obtain, from the metadata of the first NFT, one or more recorded security tokens, compare the security token to the one or more security tokens, and, in response to the security token matching the one or more security tokens, transmit the first NFT to the remote device.

A method is provided for registering tokens of an electronic transaction system, wherein each token of the transaction system contains at least a token value and a private part of a token-specific key pair as token elements. A token reference register and to a transaction system employs features of the method.

A networked computer system for enabling players of a gaming device to collect and stack Non-Fungible Tokens (NFTs). Computational power of the networked computer system is also leveraged to support the recordation of NFT transactions, including the acquisition of NFT transactions and the transfer of NFTs.

The invention belongs to the field of block chains, and particularly provides a data asset life cycle management method and system based on a block chain, and the system comprises a data registration module, a data operation recording module, a data life cycle management module, an intelligent contract module and a data auditing module. A unique identifier is generated through a data registration module, so that the uniqueness and tamper-proofing performance of data assets are ensured; the data operation recording module uploads operation records in real time and supports detailed operation tracking; the data life cycle management module tracks the full life cycle of data assets and realizes state check and update through an intelligent contract; the intelligent contract module automatically executes circulation rule and authority verification to ensure compliance and security; and the data auditing module provides operation traceability and data source verification. In addition, the invention further relates to a storage unit, a computer and a server which are used for executing the management method. According to the system and the method, the transparency and the efficiency of data asset management are improved, and the safety and the compliance of the data assets are guaranteed.

The invention provides a block chain dynamic trust evaluation system and method based on artificial intelligence, and the method comprises the steps: carrying out the time sequence modeling of the transaction data of a block chain node and the consensus historical record of the node participation consensus, obtaining the behavior credibility of the block chain node, calculating the resource contribution degree of each transaction node, and carrying out the calculation of the resource contribution degree. Fusing the behavior credibility and each resource contribution degree to obtain a consensus score of each transaction node; constructing a node graph neural network of the block chain based on the transaction topological relation and the interaction frequency between the transaction nodes, detecting a plurality of malicious nodes in the block chain by using the node graph neural network, and further evaluating a consensus influence coefficient of the current malicious node aggregation on the block chain node consensus; and performing punitive correction on the consensus score of each malicious node through the consensus influence coefficient to obtain a final trust score of each transaction node in the block chain. Based on the above scheme, punishment correction of malicious node aggregation in blockchain node trust evaluation can be realized.

The present disclosure provides a method for deal management and blockchain execution is disclosed. The method utilizes a blockchain-based platform to securely store and verify data related to investing entities, including their risk tolerance, investment goals, and regulatory compliance. The system determines a subset of entities with shared interests in a specific investment, generating a set of profiles associated with each entity based on historical deal data. These profiles are used to inform investment decisions and monitor portfolio performance. The platform also verifies accreditation statuses of the investing entities through blockchain-based consensus rules, providing an immutable record of investor accreditation status. Additionally, the system provides real-time transaction records to generate accurate and up-to-date reports for investors and deal sponsors, leveraging blockchain-based data storage and verification capabilities.

The invention relates to an intelligent bank payment settlement method supporting real-time risk control and multi-channel interaction. The method comprises the following steps: performing multi-dimensional association analysis on multi-channel transaction behavior flow data to obtain transaction channel associated data, and performing deep feature learning on the transaction channel associated data to obtain a transaction behavior feature vector; performing protocol conversion and field mapping processing on the multi-channel original message data to obtain standard payment transaction data; performing random network modeling on the multi-channel transaction processing flow according to the standard payment transaction data to obtain a processing time delay threshold parameter; and constructing a state space and a reward function of the TR-A2C deep reinforcement learning network according to the transaction behavior feature vector and the processing time delay threshold parameter, and obtaining a multi-channel real-time risk control decision strategy through parallel strategy optimization. According to the invention, distributed storage and dynamic scheduling of multi-channel data are realized, the problems of system expansibility and data access performance are solved, and the accuracy and real-time performance of risk control decision are improved.

The invention discloses an automatic medicine vending machine based on AI inquiry. The automatic medicine vending machine comprises a machine body, an intelligent interaction system, an AI inquiry system, a medicine storage bin, a control system, a payment system and a printing device. A constant-temperature and constant-humidity system and a disinfection and air purification module are arranged in the machine body. The intelligent interaction system collects symptom information in a multi-mode mode, and the AI inquiry system achieves symptom analysis, intelligent triage and personalized medication recommendation based on a medical knowledge graph and a natural language processing technology. The medicine storage bin carries a three-dimensional matrix type medicine cabinet and an intelligent inventory system, and intelligent replenishment is carried out through an LSTM algorithm. And the control system adopts a controller and triple verification to realize high-precision medicine discharging operation. The payment system supports multiple settlement modes and block chain evidence storage data. And the printing device outputs the medication guide sheet and the anti-counterfeit label. According to the invention, AI and automation technologies are deeply integrated, the service of less than or equal to 3 minutes in the whole process of inquiry-payment-medicine dispensing is realized, and the safety and convenience of medicine use are improved.

The invention provides a shared economy separate account checking method based on a block chain, and relates to the technical field of block chains and Internet of Things, and the method comprises the steps: constructing an alliance chain on a block chain platform, and defining business logic and rules through an intelligent contract, so as to ensure the consistency and safety of information. Based on an intelligent chip, data can be automatically linked, and through a zero-knowledge proof technology, consistency of on-chain and off-chain data is verified, and privacy is protected. In this way, the consumption order amount can be automatically divided to the bank account of the related subject, the account balance is generated, and account book synchronization is achieved. Transactions are checked regularly, abnormity is processed, and the accuracy of intelligent account division and account checking is ensured. If the preset subject is changed, the change can be adapted by updating the smart contract, and the flexibility is improved. In addition, a TCC distributed transaction management scheme and a consensus mechanism are introduced, so that the efficiency of account division and account checking is improved, and the stability and reliability of the system are kept.

The invention relates to blockchain technologies such as the Bitcoin blockchain, and the tokenisation of assets or entities. It is particularly suited for implementing a payroll on a blockchain platform and comprises a method (100) and system (1) of transferring cryptocurrency from a first node (3) to a second node (7). Both nodes (3, 7) are associated with a payroll and have a respective asymmetric cryptography pair, each pair including a master private key and a master public key. Respective additional private and public keys may be determined based on the master private key, master public key and a generator value at each node. The additional private and public keys may form a hierarchical structure. A common secret may be determined at each of the nodes (3, 7) based on the additional private and public keys. The common secret may be used to securely transmit confidential information across a communications network (5).