Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: Disclosed are various embodiments related to coordinated monitoring and responding to an emergency situation at a building structure as a supplement to a traditional emergency response. In some embodiments, a system comprises a computing device that is configured to receive sensor data from a sensor network. The sensor network includes monitoring units that monitor various locations of an infrastructure. The computing device determines an occurrence of an emergency event at a location in the infrastructure using an anomaly detector model based at least in part on the sensor data. A hybrid mobile unit is instructed by the computing device to navigate to the location of the emergency event. The hybrid mobile unit is configured to provide mobile sensor data associated with the location to confirm the emergency event.

Abstract: In an example, a system includes a plurality of acoustically coupled nodes. Each of the nodes includes a transducer, a communication circuit and a controller. The transducer is adapted to be mechanically coupled to a medium. The communication circuit is coupled to the transducer to send and receive acoustic signals via the medium according to at least one communication parameter. The controller is to adaptively configure the at least one communication parameter of the communication circuit based on an acoustic signal received from at least one other of the nodes.

Abstract: A method performed by a processing device, the method comprising: obtaining first waveform data indicative of traversal of a first signal through a structure at a first time; applying a scale transform to the first waveform data and the second waveform data; computing, by the processing device and based on applying the scale transform, a scale-cross correlation function that promotes identification of scaling behavior between the first waveform data and the second waveform data; performing one or more of: computing, by the processing device and based on the scale-cross correlation function, a scale factor for the first waveform data and the second waveform data; and computing, by the processing device and based on the scale-cross correlation function, a scale invariant correlation coefficient between the first waveform data and the second waveform data.

Abstract: A method performed by a processing device, the method comprising: obtaining first waveform data indicative of traversal of a first signal through a structure at a first time; applying a scale transform to the first waveform data and the second waveform data; computing, by the processing device and based on applying the scale transform, a scale-cross correlation function that promotes identification of scaling behavior between the first waveform data and the second waveform data; performing one or more of: computing, by the processing device and based on the scale-cross correlation function, a scale factor for the first waveform data and the second waveform data; and computing, by the processing device and based on the scale-cross correlation function, a scale invariant correlation coefficient between the first waveform data and the second waveform data.