Abstract: A resonant sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid and to generate an electric field between the free-standing electrodes. A controller measures an impedance response of the sensor to the fluid between the electrodes to determine an aging effect of the sensor.

Abstract: Various examples are provided related to self-assembled carbon nanotube (CNT) films. In one example, a method includes providing a CNT dispersion solution including an aqueous solution comprising a quantity of amphiphilic pendant polymer dispersant; and a plurality of carbon nanotubes in the aqueous solution, the pendant polymer dispersant enabling CNT self-assembly. The method further includes forming a self-assembled CNT film on a surface of a substrate using the CNT dispersion solution.

Abstract: A resonant sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid and to generate an electric field between the free-standing electrodes. A controller measures an impedance response of the sensor to the fluid between the electrodes to determine an aging effect of the sensor.

Abstract: A resonant sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid and to generate an electric field between the free-standing electrodes. A controller measures an impedance response of the sensor to the fluid between the electrodes to determine an aging effect of the sensor.

Abstract: A resonant sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid and to generate an electric field between the free-standing electrodes. A controller measures an impedance response of the sensor to the fluid between the electrodes to determine an aging effect of the sensor.

Abstract: A locomotive system is provided that includes a platform, plural wheel-axle sets operably coupled to the platform, a reservoir attached to the platform and configured to hold a fluid, and a resonant sensor probe assembly coupled to the reservoir. The sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid, to generate an electric field between the free-standing electrodes, and to measure an impedance response of the sensor to the fluid between the electrodes.

Abstract: A locomotive system is provided that includes a platform, plural wheel-axle sets operably coupled to the platform, a reservoir attached to the platform and configured to hold a fluid, and a resonant sensor probe assembly coupled to the reservoir. The sensor probe assembly includes a substrate formed from one or more dielectric materials and free-standing electrodes coupled with the substrate. The free-standing electrodes are configured to be placed into the fluid, to generate an electric field between the free-standing electrodes, and to measure an impedance response of the sensor to the fluid between the electrodes.

Abstract: A computer implemented method includes processing a deterministic factual graph to produce superfacts. The deterministic factual graph has deterministic factual graph leaf nodes individually resolving facts to discrete-valued outcomes and parent nodes of the deterministic factual graph leaf nodes resolving the discrete-valued outcomes to superfacts. Each superfact is a qualitative characterization summarizing discrete-valued outcomes. A stochastic factual graph is processed to produce a risk inference measure. The stochastic factual graph has stochastic factual graph leaf nodes incorporating the facts or superfacts. The stochastic factual graph is a Bayesian network where each stochastic factual graph node, except for a base node, is associated with a probability function, and edges between stochastic factual graph nodes represent conditional dependencies. The risk inference measure is compared to an escalation threshold.

Abstract: Systems and methods are provided for maintaining a low power endpoint (LPE) synchronized on a time synchronized channel hopping network (TSCH). An LPE receives a guaranteed time slot (GTS) from a parent node. The LPE determines a wake-up time that coincides with or is prior to the GTS. The LPE enters a low power mode to conserve power until the wake-up time occurs. At that time, the LPE enters a regular power mode and may communicate with the parent node.

Abstract: A node receives status data associated with a current collector in the network, where the node is active on the current collector. The node also receives status data associated with a candidate collector in the network, where the node is not active on the candidate collector. An analysis of the status data of the collectors is generated, where the analysis includes at least comparing respective network loads reported in the received status data. An optimal collector is determined from among the current collector and the candidate collector. The determination of the optimal collector is based at least in part upon the analysis of the status data of the collectors. The node remains active on the current collector when the current collector is determined to be the optimal collector, and the node becomes active on the candidate collector when the candidate collector is determined to be the optimal collector.

Abstract: A node receives status data associated with a current collector in the network, where the node is active on the current collector. The node also receives status data associated with a candidate collector in the network, where the node is not active on the candidate collector. An analysis of the status data of the collectors is generated, where the analysis includes at least comparing respective network loads reported in the received status data. An optimal collector is determined from among the current collector and the candidate collector. The determination of the optimal collector is based at least in part upon the analysis of the status data of the collectors. The node remains active on the current collector when the current collector is determined to be the optimal collector, and the node becomes active on the candidate collector when the candidate collector is determined to be the optimal collector.

Abstract: Systems and methods are provided for maintaining a low power endpoint (LPE) synchronized on a time synchronized channel hopping network (TSCH). An LPE receives a guaranteed time slot (GTS) from a parent node. The LPE determines a wake-up time that coincides with or is prior to the GTS. The LPE enters a low power mode to conserve power until the wake-up time occurs. At that time, the LPE enters a regular power mode and may communicate with the parent node.