Abstract: A resonator includes a body, the body having a planar surface. An aperture through the body is configured to receive a tube configured for a fluid to be tested. A gap extends into the body from the planar surface to the aperture. At least one cut extends through the body from the planar surface towards the aperture. The at least one cut extends across the gap.

Abstract: Described here are systems and methods that utilize visual imagery and an optical flow-based computer vision algorithm to measure river velocity in streams or other flowing bodies of water. The systems and methods described in the present disclosure overcome the barriers of conventional flow measurement techniques by providing a fast, non-intrusive, remote method to measure peak flows.

Abstract: Disclosed are systems and methods of sensor fusion for exemplary use with robotic navigation control. Systems and methods include providing local estimates of a target location from a plurality of expert modules that process sensor data. The local estimates are weighted based upon a Mahalanobis distance from an expected estimated value and based upon a Euclidean distance between the local estimates. The local estimates are fused in a Bayesian fusion center based upon the weight given to each of the local estimates.

Abstract: Disclosed are systems and methods of sensor fusion for exemplary use with robotic navigation control. Systems and methods include providing local estimates of a target location from a plurality of expert modules that process sensor data. The local estimates are weighted based upon a Mahalanobis distance from an expected estimated value and based upon a Euclidean distance between the local estimates. The local estimates are fused in a Bayesian fusion center based upon the weight given to each of the local estimates.

Abstract: Illustrative embodiments of integrated pest management (IPM) systems and electronic insect monitoring devices (EIMDs) are disclosed. In some embodiments, the EIMDs may each comprise a lure for attracting at least one target insect species, one or more sensors configured to generate one or more output signals in response to an individual insect approaching the lure, and an electronic controller configured to count a number of individual insects approaching the lure. In some embodiments, the IPM system may comprise a plurality of EIMDs configured to communicate over a wireless network shared by the plurality of EIMDs.

Abstract: Illustrative embodiments of integrated pest management (IPM) systems and electronic insect monitoring devices (EIMDs) are disclosed. In some embodiments, the EIMDs may each comprise a lure for attracting at least one target insect species, one or more sensors that generate one or more output signals in response to an insect approaching the lure, and an electronic controller configured to determine if the insect approaching the lure belongs to the at least one target insect species using the one or more output signals. In some embodiments, the IPM system may comprise a plurality of EIMDs configured to communicate over a wireless network shared by the plurality of EIMDs.

Abstract: A method and apparatus for tracking target objects includes a network of unidirectional sensors which correspond to nodes on the network. The sensors identify the presence of a target object, determine a first criteria for the relationship of the target object to the sensors and send a message to sensors neighboring the sensor. The message includes a unique identification of the target object and the first criteria. The sensors are ranked to determine which of the sensors should head a cluster of sensors for tracking the target object. Clusters are propagated and fragmented as the target object moves through a field of sensors.

Abstract: The present disclosure relates to a sensor network including a plurality of nodes, each node having a directional sensor, a communication module, and a processor configured to receive local measurements of a calibration object from the directional sensor, receive additional measurements of the calibration object from neighboring nodes via the communication module, estimate an initial set of calibration parameters in response to the local and additional measurements, receive additional sets of calibration parameters from neighboring nodes via the communication module, and recursively estimate an updated set of calibration parameters in response to the additional sets of calibration parameters. Additional systems and methods for calibrating a large network of camera nodes are disclosed.

Abstract: Illustrative embodiments of integrated pest management (IPM) systems and electronic insect monitoring devices (EIMDs) are disclosed. In some embodiments, the EIMDs may each comprise a lure for attracting at least one target insect species, one or more sensors that generate one or more output signals in response to an insect approaching the lure, and an electronic controller configured to determine if the insect approaching the lure belongs to the at least one target insect species using the one or more output signals. In some embodiments, the IPM system may comprise a plurality of EIMDs configured to communicate over a wireless network shared by the plurality of EIMDs.

Abstract: The present disclosure relates to a sensor network including a plurality of nodes, each node having a directional sensor, a communication module, and a processor configured to receive local measurements of a calibration object from the directional sensor, receive additional measurements of the calibration object from neighboring nodes via the communication module, estimate an initial set of calibration parameters in response to the local and additional measurements, receive additional sets of calibration parameters from neighboring nodes via the communication module, and recursively estimate an updated set of calibration parameters in response to the additional sets of calibration parameters. Additional systems and methods for calibrating a large network of camera nodes are disclosed.

Abstract: A method and apparatus for tracking target objects includes a network of unidirectional sensors which correspond to nodes on the network. The sensors identify the presence of a target object, determine a first criteria for the relationship of the target object to the sensors and send a message to sensors neighboring the sensor. The message includes a unique identification of the target object and the first criteria. The sensors are ranked to determine which of the sensors should head a cluster of sensors for tracking the target object. Clusters are propagated and fragmented as the target object moves through a field of sensors.