Abstract: An electronic navigation system configured to receive a user's entry of calendar data of a planned event into an electronic calendar, including an indication of a point of time, a geographic location, and metadata descriptive of the planned event; enter the calendar data into a user specific trained classifier; process the calendar data by the user specific trained classifier to provide a classification result indicating whether a trip is required to participate in the planned event; if a trip is required, generate and send a request including the geographic location to a second server; generate navigation data including a predicted time duration for the trip, and return a response including the navigation data to the first server; generate and send a dynamic reminder message including the navigation data to the user's telecommunication device a variable amount of time before the planned event based on the predicted time duration.

Abstract: Embodiments implement event- and/or condition-based machine monitoring for quality inspection in a manufacturing process. An application receives from a machine, an input comprising event(s) and/or condition(s) potentially affecting product quality. Such an event could be scheduled/unscheduled maintenance of the machine. An exemplary condition could be deviation an operating parameter of the machine that is being monitored. Based upon this input, the engine references a ruleset to output a level of Quality Assurance (QA) product inspection with a changed component (for example, including a more stringent tolerance requirement, an additional inspection step, and/or inspection of larger/additional product lots). Embodiments thus automatically link a rigor of product inspection with changes in machine state having the potential to degrade product quality.

Abstract: An electronic navigation system, a navigation method using the electronic navigation system, and a computer-readable media storing computer executable instructions for executing the navigation method are disclosed herein.

Abstract: Embodiments implement event- and/or condition-based machine monitoring for quality inspection in a manufacturing process. An application receives from a machine, an input comprising event(s) and/or condition(s) potentially affecting product quality. Such an event could be scheduled/unscheduled maintenance of the machine. An exemplary condition could be deviation an operating parameter of the machine that is being monitored. Based upon this input, the engine references a ruleset to output a level of Quality Assurance (QA) product inspection with a changed component (for example, including a more stringent tolerance requirement, an additional inspection step, and/or inspection of larger/additional product lots). Embodiments thus automatically link a rigor of product inspection with changes in machine state having the potential to degrade product quality.