Patent classifications
G06Q20/00
Blockchain system to which proof-of-transaction consensus algorithm is applied, and method therefor
A blockchain system is disclosed. A blockchain system according to one embodiment includes a plurality of nodes for communicating with each other through a distribution network and communicating with a blockchain client device outside the blockchain system, wherein each of the plurality of nodes can be configured to process transactions occurring in the blockchain system, collect vote items included in the transactions and including an account address corresponding to any one of the plurality of nodes, and elect, as a block generator, at least one of the plurality of nodes on the basis of the collected vote items. Other various embodiments identified through the specification are possible.
System and method to detect failures at a subset of load cells
Load cells are used in a fixture of a facility to acquire weight data. However, some of the load cells used in the fixture may fail. One way to test a subset of load cells is to compare data from a first subset of load cells to a second subset of load cells using a linear regression. For example, the linear regression may help determine predicted values for the first subset of load cells. Actual values from the first subset of load cells are then compared to the predicted values. If the differences between the actual values and predicted values for the first subset of load cells are greater than a threshold, a determination is made that the first subset of load cells has failed. Weight data from the second subset of load cells may then be used to determine hypotheses for describing interactions at the fixture.
System and method to detect failures at a subset of load cells
Load cells are used in a fixture of a facility to acquire weight data. However, some of the load cells used in the fixture may fail. One way to test a subset of load cells is to compare data from a first subset of load cells to a second subset of load cells using a linear regression. For example, the linear regression may help determine predicted values for the first subset of load cells. Actual values from the first subset of load cells are then compared to the predicted values. If the differences between the actual values and predicted values for the first subset of load cells are greater than a threshold, a determination is made that the first subset of load cells has failed. Weight data from the second subset of load cells may then be used to determine hypotheses for describing interactions at the fixture.
Method and system for dispute resolution in a public blockchain
A method for dispute resolution for a blockchain transaction includes: receiving, by a receiver of a processing server, a blockchain transaction identifier and a dispute reason code from a first computing device of a blockchain network, the blockchain transaction identifier and the dispute reason code comprising a dispute request, the blockchain transaction identifier identifying a transaction on a blockchain; transmitting, by the receiver of a processing server, the blockchain transaction identifier and the dispute reason code to a processing device of the processing server; identifying, by the processing device of the processing server, the transaction, a merchant blockchain address, and a currency amount within a blockchain data value of the blockchain based on the blockchain transaction identifier; determining, by the processing device of the processing server, the transaction is invalid; and performing, by the processing device of the processing server, a dispute resolution process for the blockchain transaction.
System and methods of providing point-of-need financing
A method of providing a loan credit to a customer before the customer requests the loan comprises obtaining, by a server, personal information for a customer by a credit broker application executing on the server, executing, on the server, a plurality of lender approval models using the personal information for the customer as input to each lender approval model, where each lender approval model is stored on the computer system in a byte code format as part of a private blockchain system, generating, by the server, a plurality of loan, evaluating, by a credit broker application executing on the server, the plurality of loan approvals based on a credit broker rule set, selecting, by the credit broker application, one of the loan approvals by the credit broker application, and presenting information to the customer comprising the terms of the selected loan approval by the credit broker application.
System and method for true peer-to-peer automatic teller machine transactions using mobile device payment systems
A system and method for true peer-to-peer automatic teller machine transactions using mobile device payment systems, where a user may receive physical cash in exchange for digital currency from another user, without either one of them having to have a merchant account or a credit/debit card clearing system through a payment processor, comprising a smartphone with an associate peer-to-peer ATM application, blockchain datastore, GPS satellite, cellular tower, and smart wallet application.
Method and keyboard for product selection
The method for product selection comprises the steps of selecting a product among a plurality of options of different products, said selection being carried out by remotely signaling a label that represents the selected product; checking that no other selection has been detected; checking that the detected selection lasts longer than a predetermined period of time or more than a predetermined electromagnetic field strength; and dispensing the selected product if it has been verified that no other selection has been detected and if it has been verified that the selection lasts longer than said predetermined period of time and less than the predetermined electromagnetic field strength, or canceling the selection of the product if another selection has been detected or the detected selection lasts less than said predetermined period of time or is greater than the predetermined electromagnetic field strength.
Estate planning and beneficiary management system including digital assets
A estate planning and beneficiary management system according to an embodiment includes a system controller which may prompt and receive from a user information which may be necessary to create and estate planning model. The system may provide for traditional assets and digital assets, such as cryptocurrency and NFTs. The system may provide for distribution of the digital assets using smart contracts and blockchain wallets. The system may provide access by beneficiaries and trusted contacts to the user selected documents at different user defined permission levels. Upon the user's death, the system may automatically notify the beneficiaries and trusted contacts, execute block transactions between the user's wallets and beneficiaries' wallets according to the smart contracts, and notify outside world platforms of the user's death and the user's directives for the particular platforms as laid out in the user's will.
Automated transfer of enriched transaction account data to a submitted record of charge
Transaction account holders are able to attach additional data to a transaction in concert with the transaction being initiated, prior to the merchant posting the transaction. Transaction account holders do not have to wait and/or opt for an external service provider to assist with the compiling and/or attaching of data at a later point in time (e.g., after the merchant posts the transaction). Transaction account holders may upload and access electronic receipts associated with a transaction authorization almost immediately after the sale and/or authorization of the transaction.
SYSTEM TO DETECT AUTOMATED WEB SUBMISSIONS
A system to identify automated submissions of web pages, such as those submitted by bots, in real time. The system comprising a processor configured to update an initial version of a requested web page with at least one hidden field, transmit the updated web page to the client, then, upon receipt parse the completed web page, and identify if a data entry is associated with the at least one hidden field. Where a data entry is associated with the at least one hidden field, the system blocks the transmission of the completed web page to the server. Where a data entry is not associated with the at least one hidden field the system removes the at least one hidden field, and transmits the final web page to the server.