Abstract: A system and method for blocking normal media content signals, such as radio program signals emitted on a speaker and substituting alternative content for blocked signals includes a voice control module operable to receive a blocking command via a microphone. Receiving a blocking command results in the normal content being blocked and predetermined alternative content is played for either a user specified time or a predetermined time. Control over the radio or other media device is completely oral via speech recognition technology. The system may include a predetermined time delay before alternative content is played. The system may include a voice activated survey module (“VAS”) enabling a user to leave comments regarding radio commercial content. Comments are tracked in real time and at finite locations within the content.

Abstract: A method and a smart gas Internet of Things system for maintenance scheduling and management based on gas safety are provided. The method may comprise the following operations. Gas-related features of at least one area may be obtained, alert vectors of the at least one area may be determined based on the gas-related features, the alert vectors including a leakage alert value, a count of on-call maintenance personnel in the at least one area based on the alert vectors may be determined, whether the count of on-call maintenance personnel meets a preset threshold may be determined, in response to a determination that there is at least one area where the count of on-call maintenance personnel meets the preset threshold, a real-time scheduling policy based on a scheduling capability value of the at least one area where the count of on-call maintenance personnel meets the preset threshold may be determined.

Abstract: VoC data, e.g., plurality of VoC communications, for a plurality of customers can be collected. A clustering algorithm may be utilized to generate a plurality of cluster each of which is assigned a group of customers that share similar metadata. An emotion profile may be generated for each cluster based on segment detected emotions for the VoC data corresponding to the customers that are assigned to the cluster. The emotion profile for a cluster may represent the normal or expected emotions experienced during VoC communications by customers assigned to the cluster. New VoC data corresponding to a new customer may be received. A cluster may be identified based on the metadata of the new customer, and the emotion attributes of the new VoC data may be compared to the emotion profile of the identified cluster. Based on the comparison, one or more deviation can be identified to trigger an action.

Abstract: An on-demand transportation management system can collect vehicle fleet utilization data corresponding to human-driven vehicles (HDVs) and autonomous vehicles (AVs) operating within a given region in connection with an on-demand transportation service. The on-demand transportation management system can then establish a set of selection priorities for respective areas of the given region based on the vehicle fleet utilization data, each selection priority indicating whether a respective area of the given region is to favor HDVs or AVs for servicing transport requests.

Abstract: Methods, systems, and apparatus for a ride-hailing platform. The ride-hailing platform includes one or more processors and a memory. The memory is configured to store computer-readable instructions that when executed by the one or more processors, cause the one or more processors to perform operations including obtaining, from multiple transportation providers, multiple ride-sharing routes for multiple ride-sharing vehicles. The operations include obtaining a ride-hailing request including one or more disability settings for a user, a location of the user and a destination of the user. The operations include determining that a first ride-sharing vehicle should transport the user based on the one or more disability settings of the user. The operations include altering a first ride-sharing route to transport the user from the location of the user to the destination of the user and providing the altered first ride-sharing route to a driver of the first ride-sharing vehicle.

Abstract: An assembly planning device: holds a partial-order graph showing assembly operations of parts and an order constraint based on a partial-order relationship of the assembly operations, an operation sequence template showing an operation sequence and a required time of the operation sequence, and part information showing parts that can be assembled by robots; refers to the part information to generate allocation plans in which the robot are allocated to the assembly operations shown by the partial-order graph; for each of the allocation plans, refers to the operation sequence template to allocate an operation sequence for each assembly operation shown by the allocation plan; calculates movement times of the robots in the allocated operation sequence; calculates an operation time in the allocation plan based on the movement times and the required time shown by the operation sequence template; and selects an allocation plan based on the operation times.

Abstract: Provided herein are a method and device of crew replanning for high-speed railway typical scenarios, and an electronic device and a computer-readable storage medium. The method includes: building a high-speed railway crew connection network; establishing a model for high-speed railway crew replanning; decomposing the model into a first sub-model for team leaders and a second sub-model for general crew members; and designing a Lagrangian relaxation algorithm to solve the first sub-model and the second sub-model.

Abstract: Occupancy data over time is received for each of several spaces within a building from occupancy sensors that are disposed within each of the spaces. An occupancy value is determined for each of at least some of the several spaces based on the received occupancy data, each occupancy value representative of a percent of time that the respective space was occupied over an identified period of time. The space that had a highest occupancy value over the identified period of time is identified. A utilization value is determined for each of the spaces, wherein the utilization value is representative of a ratio of the occupancy value of the respective space and the highest occupancy value. An operation of the building is changed based at least in part on the utilization value of at least one of the plurality of spaces.

Abstract: A method for managing a current revision on prior revision of an order is described. A modified set of compensations tasks for addressing amendments indicated in the current revision are determined. The modified set of compensation tasks may be determined by carrying over one or more compensation tasks, associated with the prior revision, that have not yet been completed. Alternatively or additionally, the modified set of compensation tasks may be determined by adding new compensation tasks based on the current revision.

Abstract: A method, apparatus, and computer program, each configured for determining a travel propensity, the travel propensity being a distance a customer is willing to travel to redeem a renderable data object, are provided An exemplary method comprises classifying each of a plurality of geographic regions as one geographic region type of a plurality of geographic region types, mapping each of a plurality of redemption locations to a geographic region type, calculating, for a first geographic region type, a first distance that accounts for a predefined number of redemptions, determining a number of merchants having redemption locations within the first distance, calculating a second distance, from a center of a geographic region of the second geographic region type, necessary to include the number of merchants having redemption locations within the first distance, and assigning the second distance as the second geographic region type travel propensity.

Abstract: A distributed energy resource (DER) device is coupled to a utility meter in a “behind-the-meter” configuration. The utility meter analyzes a commitment generated by the DER device to determine a specific operation performed by the DER device at a particular time. The utility meter analyzes metrology data to identify an “event” associated with the particular time and then attempts to map the identified event back to the DER device based on a library of events associated with different DER devices. The utility meter also attempts to map the identified event to the specific operation set forth in the commitment. If the utility meter can successfully map the identified event to both the DER device and to the specific operation set forth in the commitment, then the utility meter generates a validated commitment. The validated commitment can be used to facilitate an energy market settlement process.

Abstract: A system and method are disclosed for generating an assortment plan by an assortment planner. The assortment planner stores value metrics for two or more products, each of the products including two or more of attributes. The assortment planner also analyzes the two or more attributes, by generating attribute values for each of the two or more attributes and communicates the attribute values for each of the two or more attributes to a planning engine. The assortment planner also further constructs a product attributes table and a value metrics table, duplicates the attribute values to generate a merged product attributes table including a number of duplicates of the attribute values and generates a binary value table for each of the attribute values, one or more itemsets, and an assortment of products based, at least in part, on the one or more itemsets. Other embodiments are also disclosed.

Abstract: Implementations directed to providing a computer-implemented system for providing a logistic demand forecasting comprising receiving a plurality of electronic receipts, each electronic receipt comprising a plurality of logistic data elements, parsing the electronic receipts to aggregate the logistic data elements, processing the aggregated logistic data elements through a logistics demand forecasting analytics model, the logistics demand forecasting analytics model having been trained using a set of training data describing historic and actual demand within a logistic supply chain, determining a logistic demand forecasting based on the processing, the logistic demand forecasting indicating an upcoming demand for transportation assets within the logistic supply chain, and providing the logistic demand forecasting to an automated warehouse system servicing the logistic supply chain.

Abstract: Computer-implemented techniques for repeatable and interpretable divisive analysis. In one embodiment, for example, a method comprises: identifying top-level cohorts of data items based on one or more characteristics of the data items in common; recursively or iteratively dividing a selected top-level cohort in a top-down manner resulting in a plurality of sub-level cohorts arranged in a hierarchy; detecting a particular data item that is a statistical outlier among data items of a leaf cohort in the hierarchy; and causing display of an indication in a computer user interface that the particular data item is an outlier.

Abstract: Systems and methods for dynamically scheduling breaks for drivers in a ride-sharing service are disclosed. Driver breaks may be scheduled dynamically in the context of a ride-sharing service in which rides may be requested ad hoc and drivers are rerouted accordingly. An allocation system may optimize a drive itinerary to service passengers requesting rides and breaks for drivers. A break request comprising break parameters may be received. The allocation system may attempt an insertion of the break request into the drive itinerary. The drive itinerary may then be validated to determine if all rides can be serviced with the break request entered into the itinerary. If the drive itinerary is not validated, the drive itinerary is modified until the break request is successfully inserted into the drive itinerary. The drive itinerary and driver breaks may be continuously modified and optimized in response to real time events and conditions.

Abstract: An approach for fully automating the use of robotic devices in a laboratory workflow includes defining sequences for automating tasks and equipment involved in such a workflow, and calculating a path for each sequence that resolves get, handoff, and placement procedures. The approach develops a schedule that executes resolved pathways in and between each device. The approach is provided with an easy-to-use interface, in which a user drags and drops devices to automatically configure them, defines operations to be performed by these devices, and then runs the laboratory workflow. The interface also provides the ability to monitor progress of the workflow, and make modifications and adjustments as needed.

Abstract: A network system managing a network service can receive queries and service requests from multiple user devices. The network system can manage the network service such that multiple service requests can be fulfilled by a single service provider. In addition, the network system can dynamically compute parameters associated with the network service. The computation of the parameters can be based on pending service requests or anticipated demand for the network service.

Abstract: Systems and methods for monitoring of utility assets using crowd-sourced digital image data are disclosed. In embodiments, a method includes: monitoring, by a computing device, incoming real-time utility data; determining, by the computing device, that a triggering event has occurred based on the monitoring; sending, by the computing device, an event message to one or more agent devices comprising a request for digital image collection at a location based on the triggering event, the event message including event information, wherein the one or more agent devices are associated with respective agents in a crowd-sourcing network; receiving, by the computing device, event data from the one or more agent devices, the event data including one or more digital images; and processing, by the computing device, the one or more digital images to determine next steps with respect to the triggering event.

Abstract: A method includes receiving, at a user device, a plurality of signals pushed to the user device from a plurality of store devices located in a plurality of physical storefronts. Each signal includes a store identifier identifying the associated physical storefront. Store visit data is generated for each signal, the store visit data including the store identifiers and time data representing times associated with visits to the physical storefronts. Store visit data is aggregated for the plurality of signals pushed to the user device. Aggregated store visit data is transmitted to an analytics server configured to combine aggregated store visit data from a plurality of user devices and generate analytics data from the combined aggregated store visit data. At least a portion of the time data is removed from the aggregated store visit data before transmission to the analytics server.

Abstract: An on-demand transportation management system can collect historical data of harmful events of human-driven vehicles (HDVs) operating throughout a given region. For each road segment of the given region, the system can determine a fractional risk value for the HDVs, and based on the fractional risk value for each road segment, the system can route drivers within the given region along lowest risk route options.