Abstract: Systems and methods for distributed business process management are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for configuration-driven distributed orchestration using different software components to execute a complex business process may include: (1) receiving a request for a runtime flow from a flow management adapter; (2) reading a flow configuration from the request; (3) creating an instance of the runtime flow; (4) initiating a service call to each component in the runtime flow; (5) creating a runtime instance in a database along with a state of each dependency in the runtime flow; and in response to external dependencies being met: (6) building and sending message to the components using a message builder; (7) initiating flow actions via an event-driven scheduler; and (8) making a service call to at least one of the components using the message builders.

Abstract: A machine learning device provided in a worker management device observes, as state variables representing a current state of an environment, worker external state data indicating an external state of a worker and manufacturing machine state data indicating a state of a manufacturing machine, and acquires, as label data, worker status data indicating a status of the worker. The machine learning device then learns the worker external state data and the manufacturing machine state data in association with the worker status data by performing supervised learning using the observed state variables and the acquired label data.

Abstract: A computing system can generate data for rendering an interactive graphical user interface, allow a user to input transaction parameters, receive a vehicle identifier associated with an individual, determine that an existing vehicle is at a service location, and provide an indication that the first individual is a qualifying individual and that the existing vehicle is at the service location.

Abstract: A graphical workflow definition and management tool enables administrators and other authorized users to implement a workflow process that can be used to evaluate project submissions or other applications that require step-by-step process completion. The steps required to navigate through the workflow are first defined. Inputs, outputs, and actions, including conditional criteria, can be specified for the steps. The flow of control between the individual steps in the workflow is mapped out; changes to the status of a project submission can cause a submission to migrate to a succeeding step in the workflow. A “sandbox” testing environment allows changes to any aspect of the workflow to be safely evaluated without affecting live data. Conflicts between production and test workflows are identified and intelligently resolved.

Abstract: A system and method for the collection and processing of workplace, public and private data to predict and score risk incident frequency and severity for a commercial client. In one embodiment, the risk assessment may be performed using one or more machine learning techniques.

Abstract: One or more responses to one or more queries from a device associated with a respondent are received. A processor determines a response quality rating for the one or more responses based on at least one of an identifiable pattern of the one or more responses, a response rate of the one or more responses, an attentiveness level of the respondent, or a characteristic of an interaction of the respondent with a user interface of the device. The one or more responses are determined to be indicative of a questionable validity based upon the determined response quality rating. Responsive to determining that the one or more responses are indicative of a questionable validity one or more secondary queries are sent to the device.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to monitoring the quality of packages loaded onto delivery vehicles for delivery to customers. In some embodiments, there is provided a system including: a database receiving and storing package quality reports in which each report corresponds to the transport of packages by a delivery vehicle to a customer; at least one package quality report including: delivery route identification information, and package quality feedback information identifying package quality conditions of packages transported by the delivery vehicle from a group of package quality conditions; and a control circuit configured to: allow a first group of users to access the package quality reports received and stored in the database, and allow a second group of users to each transmit and store a new package quality report in the database but not to access the package quality reports previously received and stored.

Abstract: Platooning vehicles can result in operational cost savings. Disclosed is a method of apportioning costs that are incurred/saved as a result of platooning vehicles, as well as assigning penalties for unfair platoon participation. For example, platooning history of a vehicle can be tracked, and if that vehicle acts too often as a trailing vehicle in a series of platoons then a penalty might be assigned to that vehicle. Also disclosed is a technique for operating a platoon in the presence of external factors such as municipal regulations, merging traffic, emergency vehicles, etc.

Abstract: Systems for dynamic entity data control are provided. In some examples, a system may receive a request to generate a recommendation for a second region or area for the entity to operate and/or a request for a second entity to house the entity during operating in the second region or area. The system may generate and transmit requests for additional data. The requests for additional data may include requests for data about the entity, as well as requests for data about a plurality of other entities, other regions or areas, and the like. Response data may be received by the system and may be analyzed using machine learning. Once the recommendation has been generated, one or more instructions may be generated and transmitted to an entity computing system, a computing system of the second or temporary entity, or the like. The generated instruction may then be executed to modify data, display additional or new data, or the like.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a digital order via a mobile device from a user and determining the digital order is placed within a venue boundary for an immediate pickup. Certain exceptions are checked, and the digital order is merged with a physical queue of patrons waiting to be serviced at a device virtual position, provided the digital order is no exception based on digital order rules. The order is scheduled for later service according to the device virtual position and the user is informed as such.

Abstract: Workflow sharing system and method are disclosed that allow a workflow server to provide a shared workflow, wherein the shared workflow generates at least one manifest, wherein the at least one manifest comprises a third-party interaction field, a credentials field, an input parameter field, and an output parameter field, wherein the workflow server receives a request for access to the shared workflow and transmits the at least one manifest of the shared workflow in response to the request for access to the shared workflow, wherein the at least one manifest comprises an acceptance requirement of the third-party interaction field, the credentials field, the input parameter field, and the output parameter field, wherein the workflow server receive consents of the acceptance requirement of the at least one manifest; and allows access to the shared workflow in response to the received consent of the acceptance requirement of the at least one manifest.

Abstract: A novel system for performing valuations of file system objects include a processor configured to execute code and memory configured to store data and the code. The code includes an accumulator configured to accumulate secondary data associated with said file system objects, a data aggregator configured to arrange the secondary data in the memory, and a value generator configured to generate an object value indicative of the value of at least one of the file system objects to a particular entity. In a particular embodiment, the value generator creates a record in a valuation database to associate the object value with the at least one of the file system objects.

Abstract: Systems and methods for autonomous lineside delivery to an assembly-line using a self-driving vehicle are disclosed, comprising receiving a part-supply schedule having a part identifier identifying a part to be supplied, an assembly-line location to be supplied with the part, and a delivery time for supplying the part to the assembly-line location. A mission is generated based on the schedule, and sent to a self-driving vehicle. The self-driving vehicle executes the mission such that the part is supplied to the assembly-line location in accordance with the part-supply schedule.

Abstract: The current invention is a tasking system that operates to allow businesses to define a task and to assign the task to one or more registered individuals, wherein the system includes one or more portable communication apparatus that permits registered individuals to receive and accept tasks and to monitor tasks in real-time.

Abstract: A method, computer program product, and system includes a processor(s) continuously monitoring a current condition of a user of an Internet of Things (IoT) device, via the IoT device. The processor(s) determines that the current condition indicates an issue with the well-being of the user. The processor(s) identifies upcoming event(s), within a given temporal period, in which the user will participate. The processor(s) determines that the current condition of the user will negatively impact at least one event of the upcoming event(s). The processor(s) generates action(s) comprising a change to the event, where the action(s) is executed by interacting with one or more applications deployed on the one or more target computer resources (accessible to the one or more processors via a network connection). The processor(s) automatically executes the at least one action on the one or more target computer resources.

Abstract: A method, computer program product, and system includes a processor(s) continuously monitoring a current condition of a user of an Internet of Things (IoT) device, via the IoT device. The processor(s) determines that the current condition indicates an issue with the well-being of the user. The processor(s) identifies upcoming event(s), within a given temporal period, in which the user will participate. The processor(s) determines that the current condition of the user will negatively impact at least one event of the upcoming event(s). The processor(s) generates action(s) comprising a change to the event, where the action(s) is executed by interacting with one or more applications deployed on the one or more target computer resources (accessible to the one or more processors via a network connection). The processor(s) automatically executes the at least one action on the one or more target computer resources.

Abstract: A distributed tool virtual marketplace may offer end users the ability to acquire tools that are compatible with an enterprise operating system platform. The virtual marketplace may determine one or more tools that are implemented on the enterprise operating system platform. The enterprise operating system platform may be provided to the end user by an operator of the marketplace. The tools including a tool that may be used for evaluating a performance of an entity. The virtual marketplace may further ascertain data that are processed or generated by the tools that are implemented on the enterprise operating system platform. The virtual marketplace may additionally determine functionalities that are used or provided by the tools. Accordingly, the distributed tool virtual marketplace may provide a recommendation of associated tools from the distributed tool virtual marketplace that have at least one dependency relationship with the tools.

Abstract: A device may generate a product delivery map that includes route information that is to be used by a fleet of delivery vehicles for performing a set of deliveries, and a set of location constraints identifying locations that are to be avoided by the fleet of delivery vehicles when performing the set of deliveries. The device may generate a collaborative interactions map that includes a set of collaborative constraints indicating particular supplier organizations that are candidates to engage in collaborative logistics. The device may determine, based on the set of location constraints and the set of collaborative constraints, a set of delivery schedules that are to be used to perform the set of deliveries. The device may provide the set of delivery schedules to one or more devices associated with the delivery organization to allow the fleet of delivery vehicles to perform the set of deliveries.

Abstract: Methods of and devices for developing supply chain management are disclosed. Logic and devices implementing the logic for supply chain management avoid resources (e.g., machine component parts, raw materials, machines, machine capacity) being inappropriately re-allocated to customers without the customers' submission of forecasts in an accurate and timely manner.

Abstract: A system includes one or more server hardware computing devices communicatively coupled to a network. The one or more server hardware computing devices include one or more processors and memory storing specific computer-executable instructions that, when executed by the one or more processors, cause the system to receive a first request to calculate a trust score for a user associated with a user account of an online proctored examination platform. The trust score represents results of a risk analysis of the user. The instructions cause the system to obtain internal data of the online proctored examination platform, the internal data describing usage of the online proctored examination platform by the user, perform the risk analysis using at least the internal data to produce the trust score, associate the trust score with the user account, and perform an action based on the trust score.