Abstract: A mining system for directing mine operations including a flow planner and a dispatcher. The flow planner receives operating parameters and global mine data and calculates a flow plan based on the operating parameters and the global parameters. The dispatcher then determines dispatch assignments based on the flow plan from the flow planner, and effects a dispatch of mining equipment based on the dispatch assignments.

Abstract: A method is described and includes acquiring sensor data produced by sensors of a plurality of vehicles traversing an area including a location of a user, wherein the vehicles traversing the area comprise a subset of a fleet of vehicles for providing rideshare services; processing the acquired sensor data to determine a category of the user; selecting a vehicle from the fleet of vehicles based on the category of the user, wherein the selected vehicle comprises at least one accommodation corresponding to the category of the user; and dispatching the selected vehicle to a pick-up location designated by the user.

Abstract: An automatic service monitor in an information technology environment has its operation controlled by information that, in part, defines entities that perform services and defines key performance indicators (KPIs) that indicate measures of performance of the services. Additional information controls the operation of the service monitor with respect to identifying and adapting for KPIs based on the non-normal data caused by maintenance work or other causes. Such adaptation may include changes in how reported information appears to the user.

Abstract: Method, system, device, and non-transitory computer-readable medium for classifying a vehicle trip. In one aspect, a computer-implemented method includes: obtaining a first set of historic telematics data associated with work; obtaining a second set of historic telematics data associated with personal use; training a classification model; obtaining a set of unlabeled telematics data associated with an unlabeled vehicular trip; and classifying the unlabeled vehicular trip by at least: identifying a first set of baseline operation features associated with the first set of historic vehicular trips; identifying a second set of baseline operation features associated with the second set of historic vehicular trips; identifying a set of representative operation features associated with the unlabeled vehicular trip; comparing the set of representative operation features against the first set of baseline operation features and the second set of baseline operation features; and classifying the unlabeled vehicular trip.

Abstract: Various examples are directed to determining an impact of a subunit on the value of a unit. A web-based analytics system receives unit value data via a user interface page provided to a supplier computing device by a web application, the unit value data including relationship data describing a relationship between a plurality of subunit values and a unit value. Based on relationship data, the system increases a value for a first subunit while holding values for the other subunits constant until the value of the unit increases to a unit value threshold and increases a value for a second subunit while holding values for the other subunits constant until the value of the unit increases to a unit value threshold. The system compares an increase in the value of the first subunit to increase the value of the unit to the unit value threshold with an increase in the value of the second subunit to increase the value of the unit to the unit value threshold.

Abstract: A system includes a virtual queue controller configured to receive an indication of a reduced capacity event from an amusement park attraction, determine a reduction in capacity of the attraction, identify each guest having a return time in a virtual queue of the attraction that is affected by the reduced capacity event, remove guests having affected return times from the virtual queue, and generate a reaccommodation time slot for the guests removed from the virtual queue, select two or more updated return times within the reaccommodation time slot for each of the guests removed from the virtual queue, provide a notification to each guest removed from the virtual queue requesting guest input to select a single updated return time from the two or more updated return times, and return each guest to the virtual queue upon receiving a corresponding selection of the single updated return time.

Abstract: A method may include a configuration engine receiving inputs for generating a customized function whose performance requires a first software application at a first host system to perform a first subprocess and a second software application at a second host system to perform a second subprocess. The configuration engine may apply a first customization to a first template to change a first manner in which data is stored in a first database table operated upon by the first software application while performing the first subprocess. A second customization may be applied to a second template to change the second manner in which data is stored in a second database table operated upon by the second software application while performing the second subprocess. The customized function may be implemented by sending the first template to the first host system and the second template to the second host system.

Abstract: Techniques and embodiments are described herein for detecting and mitigating fraudulent activity within user experience (UX) test applications. In some embodiments, a system applies a set of rules and/or machine learning (ML) models to each respondent of an online survey or UX test. Different ML models may be trained to learn domain-specific patterns indicative of fraudulent activity. The system may then select the ML models based on attributes of the UX test and/or respondent. The selected rules and/or ML models may generate a probabilistic score representing a likelihood that the respondent is currently engaging in or will engage in fraudulent activity with respect to a UX test. If the score exceeds a threshold, then the system may take action to mitigate the fraudulent activity, such as triggering the removal of the user from an accepted respondent pool, halting further engagement between the respondent and the UX test, and generating alerts.

Abstract: A computerized-method for gauging agent's self-assessment effectiveness, is provided herein. The computerized-method includes for each interaction (i) operating a Self-assessment Consolidation module to calculate a confidence-interval for each data-point of one or more preconfigured data-points, and (ii) operating a Self-assessment Divergence Determinant (SDD) module. The operating of the SDD includes: retrieving one or more data-points of the interaction; for each data-point retrieving the confidence interval; setting a divergence-indicator as zero, when the data point is within the confidence-interval; setting the divergence-indicator as a subtraction of the data point from the calculated lower-bound, when the data-point is lower than the lower-bound of the confidence-interval; and setting the divergence-indicator as a subtraction of the calculated upper-bound from the data-point, when the data-point is greater than the upper-bound of the confidence-interval.

Abstract: A system includes one or more processors; and at least one non-transitory machine-readable storage media comprising instructions which, when executed by the one or more processors, cause the one or more processors to: generate a set of shift candidates based on labor demand data; determine a set of decision variables representing whether a particular shift candidate is selected in a final schedule and whether a particular worker is assigned to the particular shift candidate; determine a set of constraints based at least in part on the set of decision variables, the set of shift candidates, the labor demand data, and scheduling configuration data, wherein a constraint of the set of constraints is transformed into linear form in terms of the set of decision variables; and determine simultaneously, using a MIP solver, a subset of the shift candidates selected in the final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of the shift candidates.

Abstract: In one embodiment, a method includes receiving, by one or more processors of an information processing system, one or more results of a task. The method includes determining, by the one or more processors, an accuracy confidence score for each result of the task. The method includes determining, by the one or more processors, that the results satisfy an accuracy quality threshold set for the task based on the accuracy confidence score for each result of the task. The method includes providing, by the one or more processers, a determination for the task to a customer system in response to the determination that the results satisfy the accuracy quality threshold.

Abstract: In a system of automatically analyzing infrastructure operation data, the system includes: an infrastructure operation determination unit configured to determine whether or not to execute an automatic analysis on infrastructure operation data; a data reception unit configured to receive operation data of a previous operation period and operation data of a succeeding operation period according to the automatic analysis execution; a statistics calculation unit configured to calculate statistics for the operation data of the previous operation period and the operation data of the succeeding operation period; and a significant difference analysis unit configured to analyze a significant difference between the operation data of the previous operation period and the operation data of the succeeding operation period based on the statistics.

Abstract: A system and method for preparing structural analyses for solar installation projects, designing photovoltaic solar electrical systems and thermal solar systems processing solar installation plans, including the processing and interpretation of user input and jobsite information, supplementation of user input with data queried from relevant databases, processing and analyses of jobsite information according to requisite analyses, automated generation of forms and reports for review by a reviewing entity, delivery of signed and sealed documents for process by appropriate regulatory bodies, and addition of third-party verified eSignature and/or file encryption to sign and/or seal reports and plan documents.

Abstract: Methods, systems and apparatus to improve the efficiency of calculating a customer retention rate are disclosed herein.

Abstract: A system for transfer path optimization is disclosed. The system comprises a computing device configured to receive a plurality of inputs from a user device at a current geographical location. The computing device is configured to generate a plurality of originators as function of the plurality of inputs, by identifying originators within a threshold distance relative to current geographical location of the user device. The computing device is configured to generate a fast transfer path. Computing device is configured to pair the fast transfer path with the first component and to assign a transfer agent to the fast transfer path. Computing device is configured to generate a second component path to transfer the second component. A method for transfer path optimization is also disclosed.

Abstract: Techniques performed by a data processing system for matching a customer service ambassador (CSA) with a customer include receiving a service request for technical assistance from the customer, analyzing estimated working hours information for the customer and estimated working hours information for each of the plurality of CSAs to produce a compatibility score for each CSA, the compatibility score for a respective one of the CSAs providing an indication of how closely the working hours of the customer and of the respective one of the CSAs align, reordering an available CSA queue identifying the plurality of CSAs based on the compatibility scores of each of the CSAs, and selecting a CSA from the queue to provide technical assistance to the customer.

Abstract: Disclosed here are systems and methods that allow users to create and customize workflow tolerances. The designed tolerances define and set guidelines, such as parameters, limitations, and tolerances, for the expected values of a workflow's input and output actions. The disclosed systems and methods, upon identifying values that fall out of determined guidelines, may: notify users of such values, trigger processes that pause or stop the workflow, and require user approval before resuming the paused/stopped workflow. Embodiments may comprise machine learning components that identify incorrect/irregular values without prior user designation. Such systems and methods improve communication technology between the networks and servers of separate parties relevant and/or dependent on successful execution of other workflows and processes; allowing for effective understanding, implementation, and engagement of workflows and processes across organizational boundaries.

Abstract: Systems and methods for forward market price prediction and sale of energy storage capacity are disclosed. An example transaction-enabling system may include a fleet of machines having an aggregate energy storage capacity; and a controller, comprising: an external data circuit structured to monitor an external data source and collect data from the external data source; an expert system circuit structured to predict a forward market price for energy storage capacity based on the collected data and the aggregate energy storage capacity; and a smart contract circuit structured to automatically sell at least a subset of the aggregate energy storage capacity on a forward market for energy storage capacity in response to the predicted forward market price.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing project tasks using content items. A user can create tasks within a content item. The tasks can be assigned to users and/or be assigned due dates. The content item can be shared with other users such that updates to the content item (e.g., updates to the tasks) can cause sending notifications to users associated with the content item. When a task in the content item is updated, all members of the project can be notified of the updated status of the task. A task list for a project can be created that aggregates tasks from multiple content items associated with the project. Tasks can be organized in the task list according to the content item the task was created in. Updates to tasks in the task list can cause corresponding updates to the tasks in the content items.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating sellability and cancellability scores for selling objects on an electronic marketplace. An embodiment operates by receiving, from a mobile device, an image including an object for sale and determining information associated with the object for sale. Information associated with pre-identified objects is determined from information associated with pre-identified objects, where each of the pre-identified objects corresponds to the object for sale. A sellability score and/or a cancellability score is generated based at least in part on the information associated with the object for sale and the information associated with the pre-identified objects. The sellability score and the cancellability score are further provided to users.