Methods and systems are provided for estimating a carbon footprint of a vehicle in real-time. In one example, the carbon footprint is estimated based on blockchain data. The blockchain data may record carbon emissions generated along one or more energy supply chains of the vehicle, and the estimated carbon footprint may be displayed at a user interface at a list of estimated carbon footprints corresponding to recharging or refueling sites.

A power supply/demand adjusting method disclosed here is a method for adjusting power supply and demand between a power transmission/distribution system and a storage battery mounted on an electric vehicle. The method includes the steps of: acquiring power selling approval of a storage battery; acquiring battery information of a storage battery for which the power selling approval is acquired based on the acquired power selling approval and power demand information from the power transmission/distribution system; calculating a power selling amount to be transmitted from the storage battery to the power transmission/distribution system, based on the acquired battery information of the storage battery and the acquired power demand information; supplying electric vehicle based on the power selling amount from the storage battery to the power transmission/distribution system; and calculating an incentive to be provided to a user of the electric vehicle based on the power selling amount.

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: estimating, using a machine learning model, a respective budget for expenditures based on respective parameters of each of one or more project initiatives associated with physical stores; determining, using a mixed integer linear programming formulation, a time window to execute the each of the one or more project initiatives; generating one or more respective recommendations for the each of the one or more project initiatives for a predetermined time period; and sending instructions to display the one or more respective recommendations on a graphical user interface, wherein the graphical user interface displays a respective status of each of the one or more respective recommendations. Other embodiments are disclosed.

An initial transaction is generated representing a forecasted demand for material needed to manufacture equipment via a supply chain. The initial transaction is added to a blockchain for access by entities in the supply chain comprising at least a subset of one or more supply entities, one or more material distribution entities, and one or more manufacturing entities. In one or more examples, the steps may be performed by an OEM blockchain node that accesses any transactions added by the various entities on the blockchain node and limits access to transactions on the blockchain by the various entities. Further, the initial transaction may be a main transaction and a transaction representing a commitment by one of the supply entities may be a sub-transaction of the main transaction, and the sub-transaction is closed in the blockchain upon the request for payment for the committed material or payment of the request.

A method using synchronous communication to procure, schedule, coordinate, and deliver materials to a plurality of construction projects with a Calendar Model while using an administrative processor with administrative computer readable media connected to a global communication network and client devices for a plurality of suppliers, a plurality of consultants, a plurality of contractors, and a plurality of administrators. The method includes creating a supplier profile, a contractor profile a consultant profile, construction project and an administrative profile in the geographic database.

A system automatically generates apparel collection imagery from user-provided imagery. The user-provided imagery includes images of people wearing one or more garments. The system uses segmenting analysis to analyze the user-provided image to identify locations of the garment. From the locations of the garments, the system can determine which garments from an apparel collection can be used to replace those in the user-provided imagery. The system uses pose estimation on the user-provided imagery and modifies a preview image of a replacement garment from the collection. This modified replacement garment image is used to replace the garment in the user-provided imagery.

A system and process for dynamic security monitoring of test taking. The system combines historical information about the test taker or relevant conditions, and includes sensors which objectively monitor test taker's actions, inactions, and involuntary response to the test given before and during the test, and at a specific test location. The information collected from the sensors is compared to a plurality of predetermined individual risk factors, which indicate a possibility of test fraud by the individual test taker to create a test event risk profile. The individual risk profile is combined with non-individual specific risk factors to create a holistic test event security profile. Security resources are then dynamically assigned to or removed from the test event based on the unique test event security profile.

A system and a method include at least one control unit that determines a de-icing time for an aircraft within a de-icing area of an airport, predicts a de-icing time for an aircraft within a de-icing area of an airport, schedules de-icing times for a plurality of aircraft within a de-icing area of an airport, and/or predicts demand for future de-icing operations of aircraft within a de-icing area of an airport.

Embodiments are provided for anticipating a demand for transportation on demand vehicles operating in a geographical region of interest, including a non-transitory computer-readable medium including instructions that when executed by at least one processor, cause it to perform operations, which may include: determining a plurality of spatiotemporal service need feature vectors characterizing a transportation need in the geographical region of interest over a first time period; determine a time-resolved regression function based on the plurality of spatiotemporal service need feature vectors; applying the time-resolved regression function to determine, from the plurality of spatiotemporal service need feature vectors, a plurality of anticipated spatiotemporal service need feature vectors for a second time period, subsequent to the first time period; and using the plurality of anticipated spatiotemporal service need feature vectors to determine a measure of anticipated transportation need in the geographical region of interest for the second time period.

An example operation may include one or more of receiving blockchain transactions, sorting an order of the blockchain transactions, simulating committance processing of the plurality of blockchain transactions to identify mining costs associated with each of the plurality of blockchain transactions, and applying one or more heuristic procedures to select one or more of the plurality of blockchain transactions which maximize a result associated with a next blockchain block.