71results about "Financial management" patented technology

Systems and methods for controlling rights related to digital knowledge are disclosed. A sample system may include an input system to receive digital knowledge from a user, a tokenization system to tokenize the digital knowledge and a ledger management system to create, manage, and store things on a distributed ledger and provide provable access to the digital knowledge. A smart contract system may create a smart contract including triggering action is and respond with a defined smart contract action on an occurrence of the triggering event. The smart contract system may also process commitments to the smart contract.

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

An information technology system generally including a cloud-based management platform with a micro-services architecture having a unified set of robotic process automation systems that provide coordinated automation among at least two types of applications from among a set of demand management applications, a set of supply chain applications, a set of intelligent product applications, and a set of enterprise resource management applications for a category of goods with respect to the value chain network entities of the platform.

An automated carbon asset network system and a carbon asset management method are provided. The automated carbon asset network system includes a carbon asset management digital platform realizing a carbon inventory executed for an enterprise through a computer system, and the carbon asset management digital platform includes a carbon asset network establishing module, a carbon asset network connection module, and a carbon asset network update module. The carbon asset management method includes: receiving data for stakeholders, internal or external carbon asset management digital platform, carbon asset management report formats, and carbon inventory obtained through automated customized questionnaires, by using the application program interface; automatically integrating carbon inventory data for supply chains and performing version control; digitally managing a full scope of an organizational greenhouse gas inventory and product carbon footprint information throughout product life cycles for brands in the enterprise; and generating documents according to requirements.

An information technology system generally includes a cloud-based management platform with a micro-services architecture deploying a set of adaptive intelligence facilities that can be configured to automate a set of capabilities of the platform related to at least one of the value chain network entities and the features of the platform and a set of data storage facilities that can be configured to store data collected and handled by the platform. The data can be related to at least one of the value chain network entities and the features of the platform. A set of monitoring facilities can be configured to monitor the value chain network entities. The platform can be configured to host a set of applications for directing an enterprise to manage the value chain network entities from a point of origin of a product of the enterprise to a point of customer use.

Systems and methods are disclosed for tracking, via a blockchain registry, carbon credits in goods produced from materials with sequestered carbon. Materials with sequestered carbon may be produced by reacting greenhouse gases with air and other reagents and catalysts (including biological organisms). Following production of a batch of material with sequestered carbon, a blockchain entry may be recorded with production details and details of carbon-credits earned during production. The carbon-sequestering material may later be converted into products, each of which may have a unique product identifier. A blockchain entry may be recorded with the unique product identifiers such that an owner of a unit of product can obtain, from the blockchain registry, a verified amount of carbon-credit associated with that unit.

A system, method, device, and data platform for managing a tax return. A user profile is received. Client data is automatically aggregated according to the user profile. The client data is tokenized in one or more tokens associated with the client. One or more relevant tax return strategies are determined based on the client data and the one or more tokens. A template tax return is automatically created based on the one or more relevant tax return strategies. The template tax return is populated with the client data to generate the tax return for the client.

A system may include a non-transitory computer-readable storage medium storing instructions for execution and one or more processors that execute the instructions. The instructions may cause the one or more processors to configure at least one parameter of a crowdsourcing request related to obtaining information relating to a collateral for a loan, publish the crowdsourcing request related to obtaining the information relating to the collateral for the loan to a group of information suppliers, collect and process a response from an information supplier of the group of information suppliers, where the response includes information on a condition of the collateral for the loan, process the response provided by the information supplier to determine whether an information supply event relating to the response is successful, and respond to a determination of a successful information supply event.

Systems, methods, and apparatuses for automatically executing loan-based activities are disclosed herein. An exemplary system may include a blockchain service circuit that interprets access control functions corresponding to parties associated with the loan, a data collection circuit that interprets entity information, a smart contract circuit that specifies loan terms, and a loan management circuit. The loan management circuit may interpret loan-related events and implement loan-related activities according to the entity information, the plurality of access control functions, and the loan terms. Each of the blockchain service circuit, the data collection circuit, the smart contract circuit, and the loan management circuit further includes a corresponding application programming interface (API) component to facilitate communication between the circuits of the system.

A method, computer program product, and computer system are provided for evaluating carbon sequestration contributions of nature-based assets located in water environments. The method includes: obtaining meta-descriptors of a nature-based asset and a region of a water environment in which the asset is located; mapping dimensions of the nature-based asset; accessing data of monitored physical characteristics of the nature-based asset in the water environment based on the meta-descriptors of the asset; accessing data of monitored carbon concentration in the region of the water environment based on the meta-descriptors of the region; accessing data on monitored physical, chemical, and biological properties of the water environment based on the meta-descriptors of the region; and applying a model to the accessed data to assign a carbon sequestration contribution per unit measurement of the nature-based asset.

To disclose an automated carbon asset network system.SOLUTION: An automated carbon asset network (hereinafter, referred to as NW) system 30 includes a computer-implemented carbon asset management digital platform (hereinafter, referred to as PF) 300 for conducting corporate carbon surveys. The PF 300 is equipped with a carbon asset NW architecture module, a carbon asset NW connection module, and a carbon asset NW update module. An API 310 receives carbon survey data obtained from stakeholders, internal and external carbon asset management digital PFs, carbon asset management report formats, and automated customized surveys within the carbon asset management digital PF, automatically integrates and version-controls supply chain carbon survey data, and digitally manages greenhouse gas surveys for all categories of organizations within the company, as well as product carbon footprint information for each product's lifecycle.SELECTED DRAWING: Figure 3

The present invention relates to a method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem and a device for performing same. The method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem may comprise: a step in which an EV ecosystem management device determines the incentive of an EV power plant on the basis of a power generation source of the EV power plant; and a step in which the EV ecosystem management device determines the carbon emission right to be allocated to the EV power plant on the basis of the power generation source of the EV power plant.

A system and method for trading of carbon credits is provided. The system comprises a server computing device comprising at least one hardware processor and memory; program instructions stored in the memory and executable in the server computing device that, when executed, direct the server computing device to: communicate with a plurality of vehicles over a communication network; receive distance information from a respective one of the vehicles detailing distance traveled by the respective one of the vehicles; generate a carbon credit based at least in part on the distance information received from the respective one of the vehicles; and associate the carbon credit with a user account associated with the respective one of the vehicles.

A platform and components for an automated consumer retail utility marketplace are provided, including components for machine learning, components for gamification, and components for supporting a related consumer mobile application that enables improved visibility and control by a consumer over its interaction with energy markets.

In embodiments, a method for configuring an intelligent agent to do a task based on spatial-temporal magnetic imaging data of the brain of a worker is disclosed. The method includes generating a brain region parameter indicating an active neocortex region associated with visual processing during performance of the task based on the spatial-temporal magnetic imaging data. The method further includes selecting a convolutional neural network (CNN) component type in response to a match between the brain region parameter and an associated CNN component type. The method includes configuring the intelligent agent based on the selected CNN component and a neocortical processing flow parameter derived using the spatial-temporal magnetic imaging data, wherein the intelligent agent is configured to process image data using the CNN component and provide an output of the CNN to another AI component via a data connection created based on the neocortical processing flow parameter.

Systems and methods for allocating energy including distributing and receiving energy using a mobile energy storage (MEES) system at locations of a power supplier in an energy market system by a user. Determine allocating amounts of energy for the MEES system and for each time interval for all time intervals for an upcoming operating time period based on a set of uncertain parameters using an optimization model. Base on calculating an objective function using uncertain parameters. Update the objective function using constraints. While optimizing the objective function for a value hierarchy associated with energy and reserve bidding scenarios for the user and delivery scheduling for the MEES system based upon the stored user risk preferences. Control scheduling of the MEES system between the locations of the power supplier, according to allocating of the amount of the electrical energy for the MEES system at the locations of the power supplier.

A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.

An evaluation device for biogas materials is disclosed, comprising: an input unit configured to receive input regarding a machine learning library related to biogas materials or property data pertaining to biogas materials; a machine learning model that receives the machine learning library or the property data from the input unit; a learning process execution unit that trains the machine learning model using the machine learning library; and an evaluation value calculation execution unit that estimates evaluation values related to resource recovery of biogas materials by performing estimation processes based on the property data using the machine learning model. This configuration enables optimal matching of food waste sources, such as residual sludge and food loss, with biogas plants that conduct methane gasification using food waste, thereby improving the operational efficiency of biogas plants.

To provide a system, a method, and a device for automatically executing an activity based on a loan.SOLUTION: A loan platform to start an automated loan action, includes a block chain service circuit that interprets an access control function corresponding to a party related to a loan, a data collection circuit that interprets entity information, a smart contract circuit that designates a loan condition, and a loan management circuit. The loan management circuit interprets a loan-related event in accordance with the entity information, a plurality of the access control functions, and the loan condition, and implements the loan-related activity. In order to facilitate communication among the circuits in a system, each of the block chain service circuit, the data collection circuit, the smart contract circuit, and the loan management circuit further includes the corresponding application programming interface (API) component.SELECTED DRAWING: Figure 51

The present invention relates to a method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem and a device for performing same. The method for determining the value of electric energy in consideration of a power generation source in an EV ecosystem may comprise: a step in which an EV ecosystem management device determines the incentive of an EV power plant on the basis of a power generation source of the EV power plant; and a step in which the EV ecosystem management device determines the carbon emission right to be allocated to the EV power plant on the basis of the power generation source of the EV power plant.

The present invention relates to a method for managing carbon credits in an EV ecosystem and an apparatus for performing such a method. The method for managing carbon credits in an EV ecosystem comprises the steps in which an EV ecosystemmanaging device: receives EV eco-data containing activity data of EV ecosystem-participating devices; and generates carbon credits on the basis of the EV eco-data.

The present disclosure generally relates to a methods and systems for certifying carbon credits for electric vehicle charging. One or more carbon credit eligible parties are identified using an indica

This invention pertains to an evaluation value calculation device (1) for biogas materials, comprising: an input unit (111) configured to receive input regarding a machine learning library (1L) related to biogas materials or property data pertaining to biogas materials; a machine learning model (112) that receives the machine learning library (1L) or the property data from the input unit (111); a learning process execution unit (101) that trains the machine learning model (112) using the machine learning library (1L); and an evaluation value calculation execution unit (102) that estimates evaluation values related to resource recovery of biogas materials by performing estimation processes based on the property data using the machine learning model (112). This configuration enables optimal matching of food waste sources, such as residual sludge and food loss, with biogas plants that conduct methane gasification using food waste, thereby improving the operational efficiency of biogas plants.

A climate technology ecosystem is disclosed that automates the collection and processing of data by way of programmed computer software to automatically generate uniform encrypted carbon credit certificates that can be traded on peer-to-peer exchanges or as derivatives. The Autonomous Climate Technology Ecosystem (ACTE) creates a network of information derived from nine systems designed to: sensor, qualify, measure, encode, encrypt, issue, index, register, and exchange, all of which rely upon artificial intelligence to identify, calculate and quantify the source and origin of carbon and automatically generate uniform encrypted carbon credit certificates based upon the nature and attributes of the carbon and associated CO2e.

An automated carbon asset network system is disclosed. [Solution] The automated carbon asset network (hereinafter referred to as NW) system 30 includes a computer-implemented carbon asset management digital platform (hereinafter referred to as PF) 300 for conducting corporate carbon surveys. The PF 300 is equipped with a carbon asset network architecture module, a carbon asset network connection module, and a carbon asset network update module. The API 310 receives carbon survey data obtained from stakeholders, internal and external carbon asset management digital PFs, carbon asset management report formats, and automated customized questionnaires in the carbon asset management digital PF. The supply chain carbon survey data is automatically integrated and version-controlled, and the system digitally manages greenhouse gas surveys for all categories of organizations within the company, as well as product carbon footprint information for each product's lifecycle.

A system may include a non-transitory computer-readable storage medium storing instructions for execution and one or more processors that execute the instructions. The instructions may cause the one or more processors to configure at least one parameter of a crowdsourcing request related to obtaining information relating to a collateral for a loan, publish the crowdsourcing request related to obtaining the information relating to the collateral for the loan to a group of information suppliers, collect and process a response from an information supplier of the group of information suppliers, where the response includes information on a condition of the collateral for the loan, process the response provided by the information supplier to determine whether an information supply event relating to the response is successful, and respond to a determination of a successful information supply event.

The present disclosure generally relates to a methods and systems for certifying carbon credits for electric vehicle charging. One or more carbon credit eligible parties are identified using an indication of an electric vehicle charging event and / or a payment record corresponding to the electric vehicle charging event. An amount of carbon credits is calculated, and a carbon credit certificate is generated. The carbon credit certificate indicates the one or more carbon credit eligible parties, the amount of carbon credits, and a unique identifier of the electric vehicle charging event.

The present invention relates to a method for determining the value of electric energy in an EV ecosystem taking into account the power generation source, and an apparatus for performing such a method. The method for determining the value of electric energy in an EV ecosystem taking into account the power generation source includes: a step in which an EV ecosystem management apparatus determines an incentive for an EV power plant based on the power generation source of the EV power plant; and a step in which the EV ecosystem management apparatus determines carbon emission credits to be allocated to the EV power plant based on the power generation source of the EV power plant.

A method, computer program product, and computer system for assessing carbon sequestration contribution of a nature-based asset located in a water environment are provided. The method includes obtaining a meta descriptor of the nature-based asset and a meta descriptor of a region of the water environment in which the asset is located; mapping a size of the nature-based asset; accessing data of a monitored physical property of the asset in the water environment based on the meta descriptor of the asset; accessing data of a monitored carbon concentration in the region of the water environment based on the meta descriptor of the region; accessing data of monitored physical, chemical, and biological properties of the water environment based on the meta descriptor of the region; and applying a model to the accessed data to assign a carbon sequestration contribution per unit of measurement of the nature-based asset.