Abstract: An event sensing system includes one or more sensor assemblies, each sensor assembly including a housing, a microphone, and an audio signal processor. The audio signal processor is configured to generate one of an event classification, which is indicative of a type of event, and an event characteristic, which is indicative of a severity of an event, from the audio signal. The sensor assembly is configured to transmit event records that contain the generated event data to a cloud infrastructure component. The cloud infrastructure component is configured to calculate the probability of an event occurring at a plurality of locations in a region within a bounded time window based on the event records received from a plurality of sensor assemblies.

Abstract: An event sensing system includes one or more sensor assemblies, each sensor assembly including a housing, a microphone, and an audio signal processor. The audio signal processor is configured to generate one of an event classification, which is indicative of a type of event, and an event characteristic, which is indicative of a severity of an event, from the audio signal. The sensor assembly is configured to transmit event records that contain the generated event data to a cloud infrastructure component. The cloud infrastructure component is configured to calculate the probability of an event occurring at a plurality of locations in a region within a bounded time window based on the event records received from a plurality of sensor assemblies.

Abstract: An event sensing system includes one or more sensor assemblies, each sensor assembly including a housing, a microphone, and an audio signal processor. The audio signal processor is configured to generate one of an event classification, which is indicative of a type of event, and an event characteristic, which is indicative of a severity of an event, from the audio signal. The sensor assembly is configured to transmit event records that contain the generated event data to a cloud infrastructure component. The cloud infrastructure component is configured to calculate the probability of an event occurring at a plurality of locations in a region within a bounded time window based on the event records received from a plurality of sensor assemblies.

Abstract: An event sensing system includes one or more sensor assemblies, each sensor assembly including a housing, a microphone, and an audio signal processor. The audio signal processor is configured to generate one of an event classification, which is indicative of a type of event, and an event characteristic, which is indicative of a severity of an event, from the audio signal. The sensor assembly is configured to transmit event records that contain the generated event data to a cloud infrastructure component. The cloud infrastructure component is configured to calculate the probability of an event occurring at a plurality of locations in a region within a bounded time window based on the event records received from a plurality of sensor assemblies.

Abstract: In some embodiments, apparatuses and methods are provided herein useful for predicting the time and geographic area of one or more weather events. More specifically, systems, apparatuses and methods are provided herein useful to providing accurate temporal prediction of the volume and location of expected insurance claims resulting from one or more weather events. In some embodiments, these teachings may be employed to predict outcomes such as a number of insurance claims or a monetary value of claim losses associated with a weather event. By one approach, in response to such prediction, these teachings may assist with the generation of responses in preparation for or in response to predicted weather events and insurance claims. For example, in some embodiments, the systems, apparatuses, and methods provided herein may be employed to mobilize resources, send notifications, and generate responses in preparation for or in response to one or more predicted insurance claims.

Abstract: An event sensing system includes one or more sensor assemblies, each sensor assembly including a housing, a microphone, and an audio signal processor. The audio signal processor is configured to generate one of an event classification, which is indicative of a type of event, and an event characteristic, which is indicative of a severity of an event, from the audio signal. The sensor assembly is configured to transmit event records that contain the generated event data to a cloud infrastructure component. The cloud infrastructure component is configured to calculate the probability of an event occurring at a plurality of locations in a region within a bounded time window based on the event records received from a plurality of sensor assemblies.

Abstract: Automated gym equipment sorting technology is presented for receiving, measuring, sorting, delivering and inventorying weights (dumbbells) used in a gym facility. Various mechanisms are employed for efficiently replacing weights on a rack accessible to gym members. Weights are randomly dropped off at and dynamically sorted by the technology based on dumbbell characteristics and an optional schema so that members can more efficiently find desired weights.

Abstract: A system and method are provided for creating a support case object in a multi-tenant database environment. The method, for example, may include receiving, by a support case manager on a multi-tenant database server, information related to an infrastructure event in the multi-tenant database environment, creating, by the support case manager, the support case based upon the received information, and associating, by the support case manager, the support case with the infrastructure event.