The embodiments of the present disclosure provide a management method and a management Internet of Things system for a maintenance personnel of smart gas. The management method is implemented based on a smart gas safety management platform of a management Internet of Things system for maintenance personnel of smart gas. The method may include the following operations. Maintenance personnel information of at least one maintenance personnel may be obtained. The maintenance personnel information may include first positioning information of each of the at least one maintenance personnel. Second positioning information corresponding to at least one maintenance task may be obtained. A candidate maintenance task may be determined based on the first positioning information and the second positioning information. The candidate maintenance task may be sent to a user terminal of the maintenance personnel.

A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events. Furthermore, the system utilizes a virtual agent engine and various predictive models to schedule and execute callbacks between a person in a virtual queue and a virtual agent based on predictive model results.

According to one aspect, a method for improved kitchen production is provided, the method comprising: receiving a request for one or more order items to be prepared in a kitchen, each of the one or more order items comprising: a recipe requiring: one or more resources for preparation, one or more processes for preparation, and an estimated preparation time, and a requested pickup time; retrieving a kitchen production capacity comprising a plurality of resources of the kitchen and a plurality of processes of the kitchen; projecting kitchen availability comprising: resource availability at a timeframe, process availability at the predetermined timeframe, current order items being prepared in the kitchen, and order items awaiting preparation in the kitchen; assessing the kitchen production capacity and the kitchen availability in view of the recipes of the one or more order items; and scheduling, based on the comparing, production the one or more order items.

A call management system of a call center retrieves from a customer database enterprise customer data associated with an identified customer in a customer call, which may include customer event data, attributions data, and activity event data. The customer database tracks prospects, leads, new business, and purchasers of an enterprise. The system retrieves customer demographic data associated with the identified customer. A predictive model is selected from a plurality of predictive models based on retrieved enterprise customer data. The selected predictive model, including a logistic regression model, and tree-based model, determines a value prediction signal for the identified customer, then classifies the identified customer into a first value group or a second value group. The system routes a customer call classified in the first value group to a first call queue assignment, and routes a customer call classified in the second value group to a second call queue assignment.

The application describes parallel solution generation. A data processing apparatus includes a memory including a computer program code, and at least two processors configured to execute the computer program code. The computer program code includes a component program run in parallel on at least two processors to generate solution components compiled in parallel of points, and to store the added solution components in the memory; and a solution program run in parallel on at least two processors to generate a solution by adding one solution component at a time, read from the memory, to the solution based on a key point, and to store the added solution component to the solution in the memory.

A crowd management system includes at least one local controller associated with an attraction area of an individual attraction within a theme park. The crowd management system includes a transceiver of the at least one local controller, where the transceiver receives guests data via wireless signals from guest-associated devices within a detection range of the local controller. The crowd management system includes a remote central controller in communication with the at least one local controller and the guest-associated device. The remote central controller receives the guest data from the at least one local controller and determines one or more crowd metrics of the individual attraction based on the guest data. The remote central controller generates an activity command based on the one or more crowd metrics. The remote central controller transmits the activity command to at least one guest-associated device of the guest-associated devices.

A system and method for assigning an agent to execute and fulfill a task request that include receiving the task request that includes at least one request attribute. The system and method also include determining an agent pool to execute and fulfill the task request in accordance with the at least one request attribute and determining a plurality of candidate locations at which to execute and fulfill the task request in accordance with the at least one request attribute. The system and method additionally include assigning a task execution location and a task fulfillment location from the plurality of candidate locations at which to execute and fulfill the task request. The system and method further include assigning the agent from the agent pool to execute and fulfill the task request.

Examples of the present disclosure describe systems and methods for predicting the reading time and/or reading complexity of a breast image. In aspects, a first set of data relating to the reading time of breast images may be collected from one or more data sources, such as image acquisition workstations, image review workstations, and healthcare professional profile data. The first set of data may be used to train a predictive model to predict/estimate an expected reading time and/or an expected reading complexity for various breast images. Subsequently, a second set of data comprising at least one breast image may be provided as input to the trained predictive model. The trained predictive model may output an estimated reading time and/or reading complexity for the breast image. The output of the trained predictive model may be used to prioritize mammographic studies or optimize the utilization of available time for radiologists.

Various methods, apparatuses/systems, and media for identifying production incidents and implementing automated preventive and corrective measures are disclosed. A processor automatically triggers, in response to a generated incident of a job/process/host failure, a self-healing service. The processor identifies an application to which the event generated belongs to by accessing a database that stores the application and host details; fetches functional identification (ID) of the application from the database, identifies the type of job failure or service degradation; automatically executes, by utilizing predefined micro services, the steps required for mitigation; records, in response to executing, outcome of the mitigation in the database along with output at each stage of execution; and evaluates the outcome of the mitigation by executing health checks using micro services to determine whether the failed job or process or host is healthy; and closes the incident based on healthy determination.

A method for performing maintenance of a facility for use with a server, a plurality of communication sensors arranged throughout the facility, and a portable communication device, the method for use with a cleaning module, quality control module, and inspection module.