Abstract: A building system including one or more memory devices that store instructions thereon, that, when executed by one or more processors, generate a user interface including user interface elements, wherein a first user interface element of user interface elements is associated with a first category and includes one or more first recommendations that are associated with the first category and one or more first selection fields allowing a user to select recommendations for implementation from among the one or more first recommendations and a second user interface element of the user interface elements is associated with a second category and includes one or more second recommendations that are associated with the second category.

Abstract: A system and method are disclosed for identifying supply chain segmentations from an initially non-segmented supply chain is disclosed. Embodiments of identifying supply chain segmentations includes receiving a current state of items in a supply chain network, wherein an inventory of the one or more supply chain entities is used to store one or more items, organizing one or more supply chain entities into one or more customer clusters, associating supply chain models for customer clusters, and transporting items among one or more supply chain entities.

Abstract: A cultivation and management device for fruit vegetable plants and fruit trees includes environment state information on an environment state of a fruit vegetable plant or a fruit tree to be cultivated, planned cultivation evaluation index information on a preplanned cultivation evaluation index of the fruit vegetable plant or the fruit tree, a calculation unit configured to determine and output a work including a shape change work for the fruit vegetable plant or the fruit tree with respect to inputs of the environment state information and the planned cultivation evaluation index information with a learning model, and an output unit configured to output the work including the shape change work for the fruit vegetable plant or the fruit tree.

Abstract: An approach is provided for determining a carbon footprint-based consumption of cloud resources. Cloud resource requirements and a carbon footprint cap of a workload of a cloud consumer are received. The requirements and cap are based on a sustainability target, published by the cloud consumer, and subscribed by cloud service providers. A list of cloud resources that satisfy the requirements are sent. Carbon emission values of the cloud resources at different load levels of the workload are sent. Based on a service level agreement requirement, a criticality level, and a peak load duration of the workload, and previous success rates of satisfying cloud resource requirements by cloud service providers, an optimized configuration of cloud resource(s) and cloud service provider(s) is selected. The cloud resource(s) are selected from the list and have a carbon footprint that does not exceed the cap at a given load level.

Abstract: Disclosed is a system for determining sequences of operations that will automatically execute one or more tasks specified by a user. In some embodiments, the sequences of operations are based on operations that have been previously performed by users and recorded by the system. The system interprets an intention of a user based on analysis of terms used by the user to indicate a request. The system generates a sequence of operations, executable by an operating system associated with a client device that will perform one or more tasks specified or implied by the request of the user.

Abstract: Multi-domain planning and execution systems and methods are disclosed whereby each planning component in a decomposed architecture is associated with its own domain, each planning component may supervise levels underneath it, and dependencies between domains are managed by the coordination of goals and constraints. For example, a computing device may be communicatively coupled to equipment; include a first-level component having a first-level planner component that generates a first-level plan associated with an operation using the equipment; and include second-level components, each associated with respective equipment and each including a second-level planner component that generates a second-level plan based on the first-level plan, wherein the second-level plan has instructions to perform a portion of the operation, and each second-level component instructs each respective equipment to execute a respective second-level plan.

Abstract: A method and a system for scheduling apparatuses in a production line are disclosed. Each of the apparatuses on the production line includes one or more functional modules, each of the functional modules have a task sequence, and a task sequence includes one or more tasks. The method includes: obtaining a queuing time required for executing each of the tasks in the task sequence of the functional module; identifying a task that has a shortest queuing time in the task sequence as a target task; executing the target task; removing the target task from the task sequence and obtaining an updated queuing time required for executing each of the tasks in the task sequence. The method divides the apparatuses on the production line apparatus into a plurality of independent functional modules and executes the task having the shortest queuing time first with respect to each of the functional modules.

Abstract: Embodiments forecast demand of an item by receiving historical sales data for the item for a plurality of past time periods including a plurality of features that define one or more feature sets. Embodiments use the feature sets as inputs to one or more different algorithms to generate a plurality of different models. Embodiments train each of the different models. Embodiments use each of the trained models to generate a plurality of past demand forecasts for each of some or all of the past time periods. Embodiments determine a root-mean-square error (“RMSE”) for each of the past demand forecasts and, based on the RMSE, determine a weight for each of the trained models and normalize each weight. Embodiments then generate a final demand forecast for the item for each future time period by combining a weighted value for each trained model.

Abstract: A platform server includes at least one memory configured to store instructions for performing a predetermined operation, and at least one processor operatively connected to the memory and configured to execute the instructions. The at least one processor is configured to store data in which carbon emissions are defined for each manufacturing weight of bicycle parts made of a predetermined material, acquire an image of a bicycle, determine parts included in the image, determine carbon emissions according to manufacturing of the bicycle by comparing information on the determined parts with the defined data, and provide mileage to a subject related to an event based on the determined carbon emissions when the event related to the bicycle corresponding to the image occurs.

Abstract: Methods, systems, and apparatus, including computer programs, for a monitoring system that is configured to hail a car from a ride-sharing service. The method comprises determining, based on sensor data from one or more sensors at the property, that a person located at the property is preparing to leave the property, based on historical sensor data, an estimated time that the person will depart the property, determining, based on the estimated time that the person will depart the property, whether a suitable vehicle from a ride-sharing service will be within a predetermined vicinity of the property within a predetermined amount of time of the estimated time that the person will depart the property, receiving data indicating that the person is leaving the property and based on receiving the data indicating that the person is leaving the property, notifying the person that the suitable vehicle is available pick the person up.

Abstract: Disclosed are techniques for evaluating a condition in a CAP report.

Abstract: One embodiment provides a method, including: receiving information for each of a plurality of products; for each of the plurality of products: predicting a demand for the product; calculating a sustainability score, wherein the sustainability score is based upon a material composition of the product; and computing a similarity score, wherein the computing comprises comparing pairs of products within the plurality of products; generating a plurality of assortment choices from the plurality of products, wherein each of the plurality of assortment choices has a corresponding assortment demand value, assortment sustainability score, and assortment similarity score, wherein the generating comprises utilizing a multi-objective formulation based upon the predicted demand, the calculated sustainability score, and the computed similarity score; and providing the plurality of assortment choices to a user for selection.

Abstract: Techniques for improving communication and expectation setting between various parties/communities of a crowdsourced platform are disclosed. The platform is used for reporting issues in a target system, program or product. A customer/subscriber entity enters a target brief in the platform. In response, a researcher enters a submission in the system. If the submission is valid, it is presented to the customer and a response-time or service level agreement (SLA) timer is started. If the customer agrees with the submission, it is marked as complete and the researcher is paid. If the customer disputes the submission, a third-party intervenes and the timer is paused until dispute resolution. If the submission requires more information the researcher is requested accordingly and the timer is reset. If at any point, the timer expires, the parties are notified and the submission is closed.

Abstract: A platform may receive a first set of address-occupant pairs from a plurality of source devices, wherein the first set of address-occupant pairs comprises identifications of physical addresses and identifications of occupants. The platform may detect an identification of a physical address that is associated with identifications of a plurality of the occupants. The platform may select, for the physical address, one of the identifications of the plurality of occupants to maintain association with the identification of the physical address. The platform may aggregate infrastructure information with the second set of address-occupant pairs, wherein the infrastructure information indicates one or more services available to be provided at one or more of the physical addresses. The platform may perform one or more actions based on identifying the one or more services available to be provided at one or more of the physical addresses.

Abstract: An exemplary method includes receiving, by a processor, flight information from a computer device associated with an airline identifying a flight and passengers on the flight that purchased flight tickets by utilizing payment cards associated with a card authorizing entity. Passenger food preferences for the flight passengers based at least in part on historical payment card transaction data of the flight passengers is received from a computing device associated with the card authorizing entity based on the flight information. A food inventory available to be serviced on the flight is received. Automatically determining a flight-specific food inventory, to minimize an overall weight of the flight-specific food inventory to be carried by the flight based on the passenger food preferences. Automatically transmitting food packing instructions to a packing-related machine based on the flight-specific food inventory so as to assemble a portion of the flight-specific food inventory.

Abstract: A system for electronic lead generation including a semantic graph database including a knowledge graph and a dynamic profiling module comprising automated computing machinery configured to identify a near-term surge in product interest for a number of companies of a particular size in a particular industry in a particular region of the world in dependence upon the knowledge graph and create a company profile in dependence upon the size of the identified companies, the industry of the identified companies, and the region of the world of the identified companies associated with the near-term surge. Embodiments also include a lead purchase module comprising automated computing machinery configured to generate an electronic lead purchase order in dependence upon the company profile; transmit the lead purchase order to a lead generation engine; and receive, from the lead generation engine, a plurality of leads in dependence upon the lead purchase order.

Abstract: Embodiments for managing potential customers by one or more processors are described. An identification of a potential customer for a vendor is received. A risk level associated with the potential customer is determined based on customer data from at least one data source associated with the potential customer. A signal representative of the determined risk level associated with the potential customer is generated.

Abstract: A method for determining optimal path arrangements for an infrastructure link between two geographic locations. The method includes modelling a geographic terrain containing the two geographic locations; optimizing an arrangement cost and a repair rate for two or more potential paths based on the modelled geographic terrain, an arrangement cost model, and a repair rate model, taking into account at least two design levels; and determining the optimal path arrangements each including multiple path portions and respective design levels associated with the path portions based on the optimization.

Abstract: A device may detect a trigger to perform a benchmarking task. The benchmarking task may include a first benchmarking of a first resource utilization associated with one or more tasks completed via an automated procedure. The benchmarking task may include a second benchmarking of a second resource utilization associated with the one or more tasks completed via a manual procedure. The device may determine project data relating to a project platform based on detecting the trigger to perform the benchmarking task. The device may process the project data relating to the project platform to benchmark the project. The device may generate a recommendation relating to completion of the one or more tasks using the automated procedure or the manual procedure. The device may communicate with one or more other devices to perform a response action based on the recommendation.

Abstract: A method for determining optimal path arrangements for an infrastructure link between two geographic locations, in particular, in uneven terrain. The method includes modelling a geographic terrain containing the two geographic locations; optimizing an arrangement cost and a repair rate for two or more potential paths based on the modelled geographic terrain, an arrangement cost model, and a repair rate model, taking into account at least two design levels, wherein the arrangement cost model incorporates direction-dependent factor and direction-independent factor associated with the path arrangements; and determining the optimal path arrangements each including multiple path portions and respective design levels associated with the path portions based on the optimization.