Abstract: Mobile computing systems and method for generating a map and associate tasks with their respective positions on the map. First, the mobile computing system is configured to determine a location of itself and generate a map of an area including the determined location. Further, a movement of the mobile computing system is tracked and updated on the map. The mobile computing system is further configured to receive an indication that a task is completed. In response to the indication that the task is completed, a position tag associated with the completed task is generated based on a current location, and the map is updated to include the position tag. The updated map and information related to the completed task are then stored in a computer-readable media.

Abstract: A computer-implemented system, platform, computer program product, and/or method for optimizing a data analytics suspicious activity detection pipeline that includes identifying a data analytics suspicious activity detection (SAD) pipeline for optimization; inputting desired key performance indicators for the data analytics suspicious activity detection (SAD) pipeline; gathering key performance indicators from previous runs of the data analytics suspicious activity detection (SAD) pipeline; identifying candidate pipeline configurations for simulation runs; running simulations of the candidate pipeline configurations; analyzing the simulations of the candidate pipeline configurations; and identifying the optimal pipeline configuration for the desired key performance indicators.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for determining chronotypes for each user within a set of users and providing graphical user interfaces for displaying a scheduling timeline for each user of the set of users. In some embodiments, the disclosed system identifies time zones for a set of users in various geographic locations and determines chronotypes for each user within the set of users. Furthermore, the disclosed system provides a graphical user interface for display that includes a scheduling interface having a scheduling timeline for each user of the set of users that indicates a corresponding time zone and a visual representation of the chronotypes. Moreover, the disclosed system, based on receiving a user interaction via a graphical user interface including the scheduling interface, generates an event based on the time zones and the chronotypes.

Abstract: The present invention relates to systems and methods for intelligently optimizing supply chain is provided. In particular, the systems and methods provide the capability to configure supply chain systems so as to: balance between cost and service is optimised and profitability maximised; configure system parameters to respond to both current and future risks; ensure that variability is built into plans enabling maximised efficiency; and human error and bias are eliminated from the planning process such that pro-active rather than reactive behaviour becomes the norm.

Abstract: Methods, systems, and computer program products for determining locations for offerings using artificial intelligence are provided herein. A computer-implemented method includes determining an initial sub-set of one or more enterprise locations, from a set of multiple enterprise locations, for providing at least one enterprise offering; determining at least one sequential ordering of one or more additional ones of the multiple enterprise locations for providing the at least one enterprise offering by processing data related to the initial sub-set of one or more enterprise locations using an artificial intelligence engine that utilizes one or more artificial intelligence techniques; and automatically training at least a portion of the artificial intelligence engine that utilizes the one or more artificial intelligence techniques based at least on feedback data pertaining to provision of the at least one enterprise offering to the at least one sequential ordering of one or more additional enterprise locations.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support functionality for identifying, quantifying, and mitigating risks. A dataset that includes a plurality of data items associated with one or more entities is generated and a set of rules is executed against the dataset to determine a sentiment for each data item of the plurality of data items. The dataset may be evaluated against a machine learning model configured to produce a set of risk categorizations that associate each of the plurality of data items with a risk category. Scoring metrics are generated for each of the data items based at least in part on the evaluating. The scoring metrics may account for an impact of dependencies and capabilities of the one or more entities on risks corresponding to the risk categorizations.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things system for determining a smart gas work order set allocation plan. The method includes: obtaining relevant data of the gas device, and uploading the relevant data to a smart gas management platform; extracting work order features of a work order to be assigned based on the relevant data of the gas device; determining a plurality of cluster sets based on a cluster distance between the work order features; determining at least one linked work order set based on the plurality of cluster sets; extracting set features of the linked work order set; determining an assignment scheme of the linked work order set based on the set features; determining an optimal scheme, determining a linkage processing scheme based on the optimal scheme; sending the assignment scheme and the linkage processing scheme to a smart gas service platform.

Abstract: Systems for supply chain management are provided. The systems perform capturing, formatting, processing, analysis, storage, and sharing of supply chain event data. The systems store the supply chain event data relating to an execution of a supply chain process therein and on a distributed ledger.

Abstract: Methods for optimizing metro operation scheduling in a smart city are provided. The method may be realized by an Internet of Things system for optimizing metro operation scheduling in a smart city including a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method may be executed by the management platform, and may comprises: obtaining, based on the object platform, passenger flow data of at least one metro station related to a target station by the sensor network platform; determining predicted passenger flow data of the target station in a target period of time based on the passenger flow data of the at least one metro station; and determining an operation scheduling scheme of the target station in the target period of time based on the predicted passenger flow data, the operation scheduling scheme including at least a metro departure interval.

Abstract: The present disclosure is directed to systems and methods that provide support for customized versions of functions that operate on a resource of a commerce platform by giving customers the ability to write custom versions of such functions that employ more advanced/complex logic that what is offered by default configurations for the functions. A custom scripting language may be added to the API of the commerce platform, which may allow customers to define scripts that specify the desired custom functionality. In response to receiving a request to customize the function from a customer, a function signature specifying information about the custom version of the function may be provided to the customer. Upon receiving a script defining a custom version of the function, the script may be stored on the resource object representing the resource the custom function is to operate on.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems generate a knowledge graph to implement, process, and analyze digital surveys and digital survey data cross computer networks. In particular, the disclosed systems can generate and utilize a knowledge graph to determine and coordinate topic ontologies, store and access digital survey data, and generate digital benchmarks. For example, the disclosed systems generate a knowledge graph based on a predefined ontology of topics by connecting topic nodes via a plurality of edges. Additionally, the disclosed systems receive survey data associated with administering an electronic survey to respondent client devices. The disclosed systems extract topics from the survey data and determine connections between the survey data and the topic nodes in the knowledge graph. In one or more embodiments, the disclosed systems generate digital benchmarks between sets of data based on the relationships.

Abstract: In a familiarity degree estimation apparatus, a first video process unit calculates a time while a hand being viewed, which is a time when a customer is viewing the hand. A second video process unit calculates a time while an item being held, which is a time when the customer is holding an item. A familiarity degree estimation unit calculates a time while the item being viewed based on the time while a hand being viewed and the time while the item being held, and estimates that the longer the time while the item being viewed, the lower the degree of familiarity of the customer with respect to the item.

Abstract: A vehicle allocation management method, which is executed by a computer to manage an allocation of service vehicles used in a mobility service to a user, includes instructions to be executed by at least one processor. The instructions include: estimating an energy consumption generated in response to a service provision to the user; estimating a performance deterioration of a service vehicle associated with the service provision to the user; generating an operation plan to be provided to the service vehicle with consideration of the energy consumption and the performance deterioration; obtaining, from the service vehicle, a modified operation plan which is estimated to be able to suppress at least one of the energy consumption or the performance deterioration compared with the operation plan that is generated; and determining whether to approve an operation of the service vehicle under the modified operation plan obtained from the service vehicle.

Abstract: An optimized lead generation, management, communication, and tracking system is disclosed. In particular, the system may allow for the automation of business, clinical, and computing activities for a practice, organization, business, or other entity. The system utilizes a comprehensive and robust online portal with digital software functions and digital communications capabilities to accomplish tasks that are traditionally performed by personnel or unable to be performed by personnel. For example, the system is capable of attracting, screening, and scheduling patients for procedures to be performed at a medical practice. Additionally, the system may communicate with a patient before and after a medical procedure, track patient outcomes after a patient undergoes a procedure, and calculate key performance metrics and indicators specific to the entity and/or the procedure.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for efficiently managing fleet asset activities. In one aspect, a method includes establishing a plurality of vehicle activity stages including a source geozone, a destination geozone, a source-destination transit geozone, and a destination-source transit geozone; receiving sensed data from a sensor over a network, where the sensor is situated on an asset; storing the sensed data in a data store as stored data; generating a time bar display based on the stored data, where the time bar display depicts the asset's location relative to the source geozone and the destination geozone; monitoring the time bar display for a deviation from a staggered operating pattern; and sending an update to the asset to correct for the deviations from the staggered operating pattern, where the update brings the asset back into the staggered operating pattern.

Abstract: Disclosed is managing (creating and maintaining) attendance/participation data describing remote attendance of attendees of an event, or a replay of the event. The event can be a virtual reality event. When a remote user attends an event, subsequent viewers of the event replay can see a digital representation (e.g., an avatar) of the remote user within the replay as having attended the event in-person. Subsequent replays include digital representations of the remote user and the user(s) that viewed previously replay(s) to emulate their attendance. User can manage their own attendance data, including to obtain proof of attendance. A user can delete his or her presence at an event, such that replays after the deletion do not include that user's representation. A user can go anonymous with respect to an event, such that any replays after the anonymity choice include only a generic representation of the attendee.

Abstract: A system for bipartite matching may: receive a first set of first objects and a second set of second objects; create a minimum priority queue for each unmatched first object of the first set of first objects, wherein the minimum priority queue for each unmatched first object of the first set of first objects comprises unmatched second objects of the second set of second objects; determine a first set of edge data in which lower-bound reduced costs for matching each unmatched first object with the unmatched second objects is less than or equal to zero; determine an exact cost of each edge data in the first set of edge data; and match each unmatched first object of the first set of first objects with an unmatched second object based on the exact cost of each edge data in the first set of edge data.

Abstract: Embodiments provide systems, method, and computer-readable storage media for performing robotic tasks in a distributed and coordinated manner. A fleet of robots may use a sequence of messages to appoint supervisors for a set of tasks, where the supervisor robots are responsible for ensuring that their supervised tasks are completed by other robots of the fleet. The supervisors may solicit requests from other robots to perform available tasks and select a robot to perform an available task. Once a robot is appointed, the supervisor and the worker may use messaging sequences to monitor the status of the task and participating robots (e.g., the supervisor and the worker). The monitoring may enable the supervisor to detect a failed worker and enable other robots to detect a failed supervisor.

Abstract: Systems and methods for conducting a test on a third-party testing platform are provided. A networked system causes presentation of a setup user interface to a third-party user, whereby the setup user interface includes a field for indicating an attribute of a publication to be tested. The networked system receives, via the setup user interface, an indication of the attribute, a subject to be tested, and one or more test parameters. The networked system applies the attribute change to a first version of the publication to generate a second version of the publication. The first version is presented to a first subset of potential users and the second version is presented to a second subset of potential users. Interactions with both the first version and the second version are monitored and analyzed to determine results of the test. The results are then presented to the third-party user.

Abstract: A system for managing consumer research may include a processing server, a collaboration server, and a scheduling server. The processing server, the collaboration server, and/or the scheduling server may be instantiated on a cloud-based processing device. The system may include various databases, include a respondent database, a segment database, and/or a document database. The system may include virtual dashboards for a researcher conducting a research study, a virtual dashboard for a research subject participating in the research study, and/or a virtual dashboard for a customer that requests the research study.