970results about "Billing/invoicing" patented technology

A system and method for facilitating collection of Road User Charges (RUC) using a digital currency within a Distributed Ledger Technology (DLT) network are disclosed. The system generates secure digital wallets for Road Users and Facility Owners, receives trip, position, distance, and cost data from vehicles, sensors, and facility systems, and encodes settlement logic into smart contracts. These contracts automatically execute jurisdiction-specific disbursements across blockchain, directed acyclic graph (DAG), or hashgraph frameworks, ensuring scalability and auditability without reliance on centralized tolling infrastructure. An AI Activity Module processes multi-source telemetry—including vehicle sensors, GNSS / PNT data, roadside infrastructure, and third-party traffic feeds—to detect congestion, forecast conditions, optimize routing, and dynamically adjust segment-level RUC pricing in real time. The integration of AI-driven adaptive pricing with distributed ledger settlement provides a decentralized, infrastructure-agnostic framework for secure, transparent, and verifiable road use fee collection across multiple jurisdictions, distinct from conventional tolling systems.

Novel techniques are disclosed for providing vPLC-specific metadata service including customized vPLC-specific metadata. In certain embodiments, each vPLC may generate a customized metadata using its corresponding vPLC-specific customization instructions. In some embodiments, a vPLC-specific metadata service may be performed using pre-generated customized vPLC-specific metadata, on-the-fly customized metadata, pre-generated CSP-format metadata, or combinations thereof.

Techniques for facilitating connectivity to vPLCs created in a CSP-provided infrastructure in a region. Within the CSP-provided infrastructure in a region, when the destination of a packet is determined to be an endpoint associated with a particular vPLC, the packet is tagged with information related to the particular vPLC. The vPLC-related information for the particular vPLC can include, for example, a vPLC identifier identifying the particular vPLC, an identifier identifying a customer associated with the endpoint, a virtual cloud network identifier identifying a virtual cloud network (VCN) belonging to the particular vPLC and where the endpoint is part of the VCN, and other vPLC-related information. The packet is then routed or communicated within the CSP-provided infrastructure in a region along with the tagged vPLC-related information. The vPLC-related information is used as part of the connectivity and for routing of packets within the CSP-provided infrastructure in a region.

Systems and methods of the disclosure include: identifying, by a cloud resource management system, a cloud resource consumption model associated with one or more cloud resources; generating, by the cloud resource management system, a sequence of instructions implementing a smart contract based on the cloud resource consumption model; sending, to a distributed ledger network, the smart contract; receiving, by the cloud resource management system, cloud resource usage data associated with the one or more cloud resources; and causing, by transmitting a message reflecting the cloud resource usage data to the distributed ledger, the smart contract to be executed.

A blockchain-based system for managing music rights and royalties is disclosed. The system enables artists and contributors to upload music, assign revenue percentages, and track usage via smart contracts on a distributed ledger. Play counts are immutably recorded across distributor platforms. A contributor dashboard provides real-time access to royalty data. The platform incorporates Majority Reports to validate metadata matches and calculate royalties, and Minority Reports to flag discrepancies without payments, thereby ensuring data integrity. A Golden Box smart contract module replicates song rankings and applies predictive classification models to identify features associated with musical success. These mechanisms improve transparency, accuracy, and fraud prevention in royalty distribution.

Disclosed herein are methods and systems to generate code for a workflow. A non-limiting example of a method comprises executing, by a processor, a large language model, which receives an input of an intent associated with a workflow and provides a machine-readable description by: identifying, by searching a hierarchical data structure using a vector embedding associated with the intent, an object corresponding to the intent; identifying a set of data paths within the hierarchical data structure to retrieve the identified object; and generating the machine-readable description, the machine-readable description describing the object and at least one data path within the set of data paths; and generating, by the processor, code for the workflow using the machine-readable description.

Methods, systems, and computer-readable storage media for providing a set of column pairs, each column pair including a column of a bank statement table, and a column of a super invoice table, each column pair corresponding to a modality, the super invoice table including at least one row including data associated with multiple invoices, for each column pair, determining a feature descriptor based on an operator, a feature vector being provided based on feature descriptors of the set of column pairs, inputting the feature vector to a ML model that processes the feature vector to determine a probability of a match between the bank statement, and a super invoice represented by the super invoice table, and outputting a binary output representing one of a match and no match between the bank statement, and the super invoice based on the probability.

An AI-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure and coordination with distributed systems to support important use cases for a range of enterprises. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may use AI, IoT, and technologies that filter, process, and move data more effectively across communication networks. Embodiments of the platform may leverage energy market connection, communication, and transaction enablement platforms. Embodiments may employ intelligent provisioning, data aggregation, and analytics.

A federated learning framework including household agents configured to continuously learn model parameters for managing charging periods and discharging periods of household batteries, and microgrid agents to maximize use of local energy based on a pricing policy, including accessing power from other microgrids when there is insufficient local energy to cover local demand. and selling surplus energy to the other microgrids when power generation by the microgrid surpasses the local demand. Each household machine learning agent is configured to control household energy demand from and supply to a microgrid which they are connected in order to minimize household energy cost while adapting to changes in the energy price that is determined based on the pricing policy of the microgrid agent that encourages reduction of carbon emission. A federated learning engine combines the model parameters from the household machine learning agents to update a global household machine learning agent.

There is a system for admitting automobiles to a venue comprising: at least one camera for recognizing an automobile, and a license plate. A server is configured for receiving a picture of the automobile and a picture of the license plate of the automobile. Furthermore, there is at least one database for storing, matching and identifying the picture of the automobile and the license plate. In addition, there is at least one screen for allowing a user to identify their automobile taken from a list of automobiles. There is also a process for tracking an automobile within an area which comprises the steps of identifying a pre-defined area and identifying an automobile for screening into the area. Next the auto and its license plate are photographed. This information is stored in a database and then used to generate invoices and track the location of these automobiles. Customer can access the database, enter the license plate of his vehicle, the database recognizes his vehicle, the customer makes payment for his vehicle, and the app places the customer information onto the PAID category list on the database.

The invention relates to the technical field of data processing, in particular to an invoicing, accounting and tax declaration method and system for a supply chain, and the method comprises the following steps: obtaining original data, including purchase order, customs declaration and invoice information, generated in each business link of the supply chain, and synchronizing the original data to a financial data center through a system interface for standardization processing; classifying the standardized data based on a preset rule, generating a to-be-processed receivable bill and a to-be-processed payable bill, and associating corresponding business records; comparing the purchase order, the acceptance record and the invoice information, generating an account checking difference report, and pushing the account checking difference report to a related service terminal; updating the account period state according to the account checking result; extracting tax refund elements in the customs declaration, generating a tax refund application, and tracking an auditing progress until the tax refund application arrives at an account and is filed; the method automatically synchronizes data of links such as customs affair and storage through a system interface and performs standardization processing, solves the problem of lagging of manual data collection, and improves the data synchronization efficiency.

A computer-implemented method for execution by a software service provider providing a software service to a plurality of end users, the method comprising: receiving message from an end user; generating a search string based on the received message; inputting the search string to a searching mechanism configured to rank a text descriptor of each member of a set of processing functions according to semantic proximity to the search string; generating and outputting an LLM prompt comprising the received message, and the text descriptors of only a subset of the set of processing functions, the subset being the top n results for semantic proximity to the search string, and requesting that the LLM return a selection of a processing function of the subset for which the text descriptor best matches the intent expressed in the received message content; causing the selected processing function to execute.

The invention provides a safe short message link invoice generation system and method based on a bank intranet, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining an available invoicing amount interval based on the change condition of a centralized verification risk time period in an effective time interval of an invoicing short message link at a current time period under different invoicing amounts, and when the matching invoice amount is not in the available invoice amount interval, according to the change condition of the matching invoice in different concentrated verification risk time periods and the invoice amount influence condition of the different concentrated verification risk time periods on the future time period, the matching invoice amount is calculated according to the change condition of the matching invoice in the different concentrated verification risk time periods. According to the generation processing method for determining the effective time interval of the short message link invoice of the server of the bank intranet in the current time period, the congestion condition of the server for checking and downloading the invoice is avoided.

Systems and methods for producing programs and processes for performing tasks based on event data contained within event logs are disclosed. The systems and methods can involve processing event data such that relevant portions of the event data are provided to machine learning models to allow such systems to produce automation programs. The systems and methods can also involve providing instructions to a command package machine learning model, such as a large language model, that operates to propose command packages that contain automation actions, and providing instructions to an action machine learning model that selects automation actions, associated with the proposed command packages, to be incorporated within automation programs that can be used to automate the tasks.

The invention provides a cloud computing operation settlement platform intelligent contract processing system based on a government affair system, and relates to the technical field of financial science and technology, and the method comprises the steps: a user terminal submits a structured business data body containing a business type identifier, amount information and an electronic certificate to a cloud intelligent contract; executing standardized conversion based on the structured business data volume received by the cloud smart contract, and generating an XBRL language data packet; encrypting and storing the generated XBRL data packet to a distributed storage node, and generating a unique data index; based on the unique data index, the smart contract calls a rule engine to retrieve and analyze the corresponding XBRL data packet; and according to the business type identifier in the analysis result, automatically checking the amount compliance and the authenticity of the electronic certificate. Through safety technologies such as full-process automatic execution, standardized conversion, encryption and block chain, the service period is shortened, data safety is guaranteed, and settlement is accurate.

The present invention relates to a privacy-preserving EV charging authorization and billing system, and a method for the same. The proposed system is configured to integrate permissioned blockchain with fully homomorphic encryption. The present invention aims to eliminate plaintext exposure mitigates single point of failure, by performing all authorization and billing computations on encrypted data and recoding transactions immutably, wherein an EV user securely generates encrypted authorization and billing requests using FHE-based public keys. The charging station routes these encrypted requests to the blockchain network, which records immutable encrypted transactions and verifies them via consensus. The FHE computation layer performs secure operations on the encrypted data for authorization and billing, while smart contracts execute automated verification and billing computations, ensuring transparency and auditability.

A blockchain-based data processing method, performed by a consensus node on a second blockchain, includes: obtaining a cross-chain message submitted by a forwarding service device, and obtaining a blockchain identification carried in the cross-chain message associated with cross-chain transaction data stored in a first blockchain; obtaining, in a second blockchain corresponding to the blockchain identification, block Merkle information corresponding to the first blockchain, and obtaining, in a block Merkle tree represented by the block Merkle information, a Merkle proof set corresponding to the cross-chain message, the Merkle proof set including node information of one or more nodes in the block Merkle tree,; verifying validity of the cross-chain message according to the Merkle proof set and the block Merkle information; and obtaining a transaction execution result corresponding to the cross-chain message in response to verification succeeds, and storing the transaction execution result into the second blockchain.

Systems and methods are described for executing tenant artificial intelligence pipelines by dynamically selecting service providers based on resource consumption. A server can poll a group of service providers and receive resource information that indicates compute, network, storage, and token requirements to perform an action. When the tenant AI pipeline executes, a pipeline engine can select a service provider to execute the action based on stored resource information. The service providers available in the group can also dynamically change based on terms of service.

Aspects of the present disclosure relate to automated electronic document creation. Embodiments include providing, as inputs to a machine learning model, contents of a source electronic document and a prompt. Embodiments include receiving a particular data item from the machine learning model in response to the inputs. Embodiments include performing a lexical search for the particular data item among a plurality of stored data items. Embodiments include determining a confidence score based on the lexical search and performing a semantic search for the particular data item among the plurality of stored data items based on the confidence score not exceeding a threshold. Embodiments include identifying a stored data item of the plurality of data items that matches the particular data item based on the semantic search. Embodiments include automatically generating an electronic document by populating an electronic document template using the stored data item.

The invention includes a UI that allows addition of functional placeholders to an AI pipeline, and a rules engine that chooses pipeline objects during or before AI pipeline execution. The rules engine can select pipeline objects meeting the same function type and object rules of the functional placeholder. The rules engine also applies customizable security rules and artificial intelligence (AI) model routing to queries. Remedial actions are taken when the rule evaluation exceeds a threshold. The remedial actions include transforming the query by replacing sensitive information with a reversible placeholder. The actual result can be modified by reversing the placeholder and redacting additional sensitive information. The system can notify the user, an administrator, and a supervisor regarding the security evaluation and remedial actions. The evaluations can be logged for auditing purposes.

A computer-implemented method for executing a processing function in a software service in response to an end user natural language instruction, the method comprising: receiving, via a user interface, message content from an end user expressing an intent; selecting a processing function, from among a set of processing functions, to execute in response to the received message content, the selected processing function being executable by following any one from among a plurality of different executable sequences of component actions; causing the selected processing function to execute by determining and following an execution traversal path in a data graph.

The invention discloses an electronic bill business processing method, device and equipment, which are applied to a payment platform. The method comprises the following steps: when a user carries out consumption payment at a merchant, the payment platform obtains transaction information of the consumption payment from a merchant end corresponding to the merchant; according to the transaction information, calling a direct connection port for directly connecting the payment platform and a tax platform; an electronic bill generation request is sent to the tax platform for the transaction through the direct connection port, and the electronic bill generation request carries a tax payment sub-request; receiving a corresponding electronic bill generated and returned by the tax platform after the tax platform processes the tax payment sub-request; and sending the electronic bill to a user side corresponding to the user.

Embodiments predict a target variable for accounts receivable using a machine learning model. For a first customer, embodiments receive a plurality of trained ML models corresponding to the target variable, the plurality of trained ML models trained using the historical data and comprising a first trained model having no grace period for the target variable and two or more grace period trained models, each grace period trained model having different grace periods for the target variable. Embodiments determine a Matthews' Correlation Coefficient (“MCC”) for the first trained model. When the MCC for the first trained model is low, embodiments determine the MCC for each of the grace period trained models, and when one or more MCCs for each of the grace period trained models is higher than the MCC for the first trained model, embodiments select the corresponding grace period trained model having a highest MCC.

According to the commercial vehicle ETC transaction invoicing method and device provided by the embodiment of the invention, a bidirectional identity authentication mechanism is innovatively designed, and safety protection of data transmission is realized through hardware binding and session encryption. And a two-dimensional code generation system is constructed, and a reliable data transmission mechanism is established in combination with a check value and a block index. And integrity verification is introduced, and the accuracy of the invoicing process is ensured through ciphertext analysis and data verification. According to the method, the defects of the traditional technology in the aspects of data security, communication reliability, invoicing processing and the like are effectively overcome, and technical guarantee is provided for invoicing of commercial operating vehicles.

A data processing method based on a blockchain. The method, which is executed by means of a computer device that maintains a consensus node on a second blockchain, comprises: acquiring a cross-chain message submitted by means of a forwarding service device, and acquiring a blockchain identifier carried in the cross-chain message, wherein the cross-chain message is associated with cross-chain transaction data stored in a first blockchain (S101); acquiring, from a second blockchain corresponding to the blockchain identifier, block Merkle information corresponding to the first blockchain, and acquiring, from a block Merkle tree represented by the block Merkle information, a Merkle proof set corresponding to the cross-chain message, wherein the Merkle proof set includes node information of some nodes in the block Merkle tree, and the verifiable height of the block Merkle information in the first blockchain is greater than or equal to the block height of a block where the cross-chain transaction data indicated by the cross-chain message is located in the first blockchain (S102); performing validity verification on the cross-chain message according to the Merkle proof set and the block Merkle information, so as to obtain a cross-chain verification result corresponding to the cross-chain message (S103); and if the cross-chain verification result indicates that the verification is successful, acquiring a transaction execution result corresponding to the cross-chain message, and storing the transaction execution result in the second blockchain (S104).

Discussed is a wireless charging system including a wireless charging station installed under the ground on a road and configured to wirelessly transmit power within a predetermined region of the road, and a charge control device configured to control charging of the wireless charging station, wherein the charge control device includes a communication unit configured to communicate with a server to receive whether a power transmission rate for a location of a vehicle when the vehicle is stopped at a chargeable position of the wireless charging station is equal to or greater than a reference value, and a control unit configured to control an operation state of the wireless charging station based on vehicle information and whether the power transmission rate is equal to or greater than the reference value received from the server.

A computer-implemented method comprises obtaining an electronic claim record comprising claim data describing damage to a vehicle; selecting one or more of an obtained plurality of electronic vehicle diagnostic records by applying the records and claim data as inputs to a trained machine learning model, wherein responsive to the inference input the trained machine learning model selects one or more of the records; obtaining a vehicle repair estimate data structure having a plurality of fields; populating the fields of the vehicle repair estimate data structure with at least one of the claim data and the vehicle data from the selected one or more electronic vehicle diagnostic records; and generating a user interface for presentation to a user on a user device, wherein the user interface includes display elements that represent the populated fields of the generated vehicle repair estimate data structure.

A device includes memory-based cross-domain solutions (M-CDS) circuitry including shared memory and logic to determine that a hardware resource of a first device is to be accessed and used by a program executed on a second device. The logic is to create a buffer in the shared memory region to implement a restricted memory-based communication channel to facilitate data exchange between the first device and the second device in association with use of the hardware resource by the program, and monitor the buffer to measure an amount of usage of the hardware resource by the program.

System and methods relate to over-the-air programming for a work machine. The system includes a connectivity module coupled to the work machine. The system also includes one or more processing circuits comprising one or more memory devices configured to cause one or more processors to: designate a desired software version; receive an indication of a software version installed on the work machine; based on the indication of the software version installed on the work machine, determine whether the work machine is eligible to receive the desired software version; send the desired software version to the connectivity module physically coupled to the work machine; after sending the desired software version to the connectivity module, send a command to initiate an installation of the desired software version from the connectivity module to the work machine; and cause the desired software version to install to the work machine via the connectivity module.

There is provided a wireless end-user device that includes a wireless wide area network (WWAN) modem to communicate Internet data with a WWAN, and one or more processors configured to pass, using an operating system packet network stack, Internet data packet traffic, including Internet data, between the WWAN modem and one or more applications being executed by the one or more processors, classify, using the application identification agent, each of individual flows of the Internet data packet traffic passing through the operating system packet network stack according to the one or more applications associated with each of the individual flows, measure, using a service measurement agent, for each of the classified individual flows, an amount of the Internet data packet traffic associated with each of the one or more applications, and apply, using a policy control agent, application-specific traffic policy controls to each of the classified individual flows.