A system includes a memory, a survey engine, and a reporting engine. The memory stores identifying information of a plurality of users. The survey engine determines a question to present to each user of the plurality of users and determines an interval for each user of the plurality of users. The determined interval for a first user of the plurality of users is different from the determined interval for a second user of the plurality of users. For each user, the survey engine communicates to that user, based on the stored identifying information, the determined question for that user according to the determined interval for that user and receives a response from each user of the plurality of users. The reporting engine generates a report based on the received response from the plurality of users.

According to one embodiment, an information collection system comprises a transmitter, a receiver, and a processor. The transmitter emits a signal. The receiver receives the signal. The processor calculates a distance between the transmitter and the receiver from a strength of the signal received by the receiver. The processor calculating the distance between the transmitter and the receiver from the strength of the signal for each of the signals received during a first interval, and using an average distance as the distance between the transmitter and the receiver, the average distance being obtained by averaging the plurality of calculated distances.

The present invention relates to systems and methods for improved building systems management and maintenance. The present invention provides a system for providing an augmented reality-like interface for the management and maintenance of building systems, specifically the mechanical, electrical, and plumbing (MEP) systems within a building, including the heating, ventilation, and air-conditioning (HVAC) systems.

The present invention relates to systems and methods for improved building systems management and maintenance. The present invention provides a system for providing an augmented reality-like interface for the management and maintenance of building systems, specifically the mechanical, electrical, and plumbing (MEP) systems within a building, including the heating, ventilation, and air-conditioning (HVAC) systems.

A case management system is configured to provide one or more case generation and management functions. As configured, the case management system enables a user to define a workflow, the workflow including one or more states, one or more operations which may be performed at the one or more states, and one or more transitions corresponding to the operations and defining a sequence of the states; to generate and configure a state machine; to receive a workflow identifier to assign to the state machine; and through a command received from a client device, to open and manage a case based on the configuration of the state machine.

A case management system is configured to provide one or more case generation and management functions. As configured, the case management system enables a user to define a workflow, the workflow including one or more states, one or more operations which may be performed at the one or more states, and one or more transitions corresponding to the operations and defining a sequence of the states; to generate and configure a state machine; to receive a workflow identifier to assign to the state machine; and through a command received from a client device, to open and manage a case based on the configuration of the state machine.

Methods, computer-readable media and systems are disclosed for building, deploying, operating, and maintaining an intelligent dynamic form in which a trained machine learning (ML) model is embedded. A universe of questions is associated with a plurality of output classifiers, which could represent eligibilities for respective benefits. The questions are partitioned into blocks. Each block can be associated with one or more of the classifiers, and each classifier can have a dependency on one or more blocks. An ML model is trained to make inferences from varied combinations of responses to questions and pre-existing data, and determine probabilities or predictions of values of the output classifiers. Based on outputs of the trained model, blocks of questions can be selectively rendered. The trained model is packaged with the question blocks and other components suitably for offline deployment. Uploading collected responses and maintenance of the dynamic form are also disclosed.

Exemplary embodiments provide a transportation staffing management system. An amount of transportations miles are forecasted for delivering inventory from a distribution enter to a store based on a sales forecast for a store. Non-driving time for drivers engaged in delivering inventory to a store is tracked based on data collected in real-time from mobile computing devices associated with delivery vehicles. An amount of time needed to deliver the inventory based on the forecasted amount of transportation miles and non-driving is calculated. An optimal transportation workload is generated for the distribution center based on the amount of time, data from a first database storing data from a central office, and data from a second database storing data from a distribution center.

An information processing apparatus includes an accumulation unit that accumulates history information regarding a flight history of an aircraft. A specification unit, based on the history information accumulated by the accumulation unit, specifies a candidate to be an operation assistant who assists an operation planned by an assisted operator. An output unit outputs information regarding the candidate to be the operation assistant specified by the specification unit.

A method and system for capturing research decision flow in a Research and Development (R&D) activity are provided. The method includes defining an objective of the R&D activity and determining one or more requirements for fulfilling the objective of the R&D activity. Further, the method includes identifying a set of risks associated with failure to satisfy the one or more requirements. Furthermore, the method also includes defining a set of tests to verify that the requirements are satisfied or the risks have been mitigated. Furthermore, the method also includes developing a task plan to satisfy the one or more requirements and mitigate one or more risks of the set of risks. Furthermore, the method also includes linking the objective, the one or more requirements, the set of risks and the task plan, to generate a linked information record.