Abstract: A photoplethysmogram (PPG) measurement includes the use of compressive sensing based on samples generated in accordance with a fixed pattern. A pulse oximeter circuit can drive an LED according to the fixed pattern to create a compressive sensing sample matrix of sparse measurements. The fixed pattern can be a binary progression. The PPG signal reconstruction can include zero padding the sample matrix.

Abstract: The present invention relates to a surface modified overhead conductor with a coating that allows the conductor to operate at lower temperatures. The coating is an inorganic, non-white coating having durable heat and wet aging characteristics. The coating preferably contains a heat radiating agent with desirable properties, and an appropriate binder/suspension agent. In a preferred embodiment, the coating has L* value of less than 80, a heat emissivity of greater than or equal to 0.5, and/or a solar absorptivity coefficient of greater than 0.3.

Abstract: Cables including conductors formed form ultra-conductive copper wires which have a lower temperature coefficient of resistance are disclosed. Methods of making the cables including conductors with ultra-conductive copper wires are further disclosed.

Abstract: Ultra-conductive wires having enhanced electrical conductivity are disclosed. The conductivity of an ultra-conductive wire is enhanced using cold wire drawing and annealing. Methods of making the ultra-conductive wires are further disclosed.

Abstract: An aerial cable treatment system having a cable surface preparation assembly and a coating assembly. The cable treatment system is translatable along an in-situ aerial cable. The cable surface preparation assembly can remove dirt and debris, such as carbon deposit, grease, mud, fertilizers, bird droppings, fungal growth, mosses, soot, ice, and like from aerial cables with varying sizes as it translates along the cable. The coating assembly can apply a coating to the outer surface of the in-situ aerial cable it translates along the cable.

Abstract: Techniques disclosed for accurately predicting the occurrence of anomalous sensor readings within a sensor network and advantageously using these predictions to limit the amount of power used by relay nodes within the sensor network. Some examples analyze spatial and temporal characteristics of anomalous sensor readings to predict future occurrences. In these examples, the relay nodes operate in a reduced power mode for periods of time in which anomalous sensor readings are not predicted to occur. Also, in these examples, only relay nodes in a path between a sensor predicting an anomalous reading and a gateway of the sensor network operate in full power mode. This feature allows other relay nodes to remain in the reduced power mode even when an anomalous sensor reading is predicted elsewhere in the sensor network.

Abstract: The present invention relates to a surface modified overhead conductor with a coating that allows the conductor to operate at lower temperatures. The coating contains about 5% to about 30% of an inorganic adhesive, about 45% to about 92% of a filler, about 2% to about 20% of one or more emissivity agents, and about 1% to about 5% of a stabilizer.

Abstract: A durable coating composition which reduces ice adherence and minimizes ice accumulation includes a silicate binder, a silane-modified filler, a film forming lubricant, and a crosslinking agent. Articles and overhead conductors coated with such coating compositions are also disclosed.

Abstract: Articles including a conductive metal substrate and a protective coating on the metal substrate are provided. The protective coating is electrochemically deposited from an electrodeposition medium including a silicon alkoxide and quaternary ammonium compounds or quaternary phosphonium compounds. Methods of electrochemically depositing such protective coatings are also described herein.

Abstract: Systems and methods may be used to map and collect data from a mesh network at a gateway device connecting a plurality of devices (e.g., edge devices, IoT devices, sensors, or the like) to a network. A method may include determining a shortest path tree (SPT) map of the plurality of devices, the shortest path tree map may define the mesh network for the plurality of devices connected to the gateway. The method may include sampling data throughout the mesh network based on a compressive sensing (CS) sampling schedule. The sampled data may be output, such as to a remote device via the network. The sampled data may be saved at the gateway.

Abstract: Described is an apparatus and method for data compression using compressive sensing in a wearable device. Described is also a machine-readable storage media having instruction stored thereon, that when executed, cause one or more processors to perform an operation comprising: receive an input signal from a sensor; convert the input signal to a digital stream; and symmetrically pad on either ends of the digital stream with a portion of the digital stream to form a padded digital stream.

Abstract: Systems and methods of coating an installed overhead conductor with an unmanned aerial vehicle are disclosed. The unmanned aerial vehicles can attach to an installed overhead conductor and can apply a coating composition from one or more canisters.

Abstract: Techniques disclosed for accurately predicting the occurrence of anomalous sensor readings within a sensor network and advantageously using these predictions to limit the amount of power used by relay nodes within the sensor network. Some examples analyze spatial and temporal characteristics of anomalous sensor readings to predict future occurrences. In these examples, the relay nodes operate in a reduced power mode for periods of time in which anomalous sensor readings are not predicted to occur. Also, in these examples, only relay nodes in a path between a sensor predicting an anomalous reading and a gateway of the sensor network operate in full power mode. This feature allows other relay nodes to remain in the reduced power mode even when an anomalous sensor reading is predicted elsewhere in the sensor network.

Abstract: Techniques are provided for compressive sensing (CS) in a sensor network, for improved power efficiency. A methodology implementing the techniques according to an embodiment includes determining a state of a sensor network, based on a calculated statistic of sampled data values generated by one or more sensors in the network, and on anomaly indications generated by the one or more sensors. The method further includes calculating a CS sampling schedule based on the determined state and further based on a sparse signal recovery algorithm. The method further includes broadcasting the CS schedule to the one or more sensors. The CS schedule includes a sensor identification, sampling frequency, and sampling time offset for each sensor to be sampled. The method further includes updating the state of the sensor network and the CS schedule, based on updated data values generated by the one or more sensors in accordance with the sampling schedule.

Abstract: An electrical cable includes a plurality of conductors forming a conductor core, one or more insulation layers at least partially surrounding at least one of the plurality of conductors, an outer jacket surrounding the conductor core and a film applied to the exterior surface of the outer jacket. The film includes high visibility particles. Methods of forming electrical cables are also described herein.

Abstract: An aerial cable treatment system having a cable surface preparation assembly and a coating assembly. The cable treatment system is translatable along an in-situ aerial cable. The cable surface preparation assembly can remove dirt and debris, such as carbon deposit, grease, mud, fertilizers, bird droppings, fungal growth, mosses, soot, ice, and like from aerial cables with varying sizes as it translates along the cable. The coating assembly can apply a coating to the outer surface of the in-situ aerial cable it translates along the cable.

Abstract: An aerial cable treatment system having a cable surface preparation assembly and a coating assembly. The cable treatment system is translatable along an in-situ aerial cable. The cable surface preparation assembly can remove dirt and debris, such as carbon deposit, grease, mud, fertilizers, bird droppings, fungal growth, mosses, soot, ice, and like from aerial cables with varying sizes as it translates along the cable. The coating assembly can apply a coating to the outer surface of the in-situ aerial cable it translates along the cable.

Abstract: A cable including a conductor surrounded by a covering layer, the covering layer formed from a thermoplastic vulcanizate composition which includes a continuous phase and a dispersed phase. The continuous phase is formed of a thermoplastic polyolefin. The dispersed phase is formed of a cross-linked elastomeric polyolefin. The thermoplastic vulcanizate composition passes the Hot Creep Test at 150° C. in accordance with UL 2556 (2013) and has a dielectric loss of 3 or less. Methods of forming cables with coverings are also disclosed.

Abstract: A coated electrical accessory includes a bare electrical accessory and a substantially inorganic and dried coating layer coating the bare electrical accessory. The coating layer includes a heat radiating agent and a binder. When the coated electrical accessory is tested in accordance with ANSI CI 19.4-2004 with an amount of imparted current, the coated electrical accessory exhibits an operating temperature that is less than an operating temperature of a bare electrical accessory tested in accordance with ANSI CI 19.4-2004 with the same amount of imparted current. Methods are also provided.

Abstract: Techniques are provided for compressive sensing (CS) in a sensor network, for improved power efficiency. A methodology implementing the techniques according to an embodiment includes determining a state of a sensor network, based on a calculated statistic of sampled data values generated by one or more sensors in the network, and on anomaly indications generated by the one or more sensors. The method further includes calculating a CS sampling schedule based on the determined state and further based on a sparse signal recovery algorithm. The method further includes broadcasting the CS schedule to the one or more sensors. The CS schedule includes a sensor identification, sampling frequency, and sampling time offset for each sensor to be sampled. The method further includes updating the state of the sensor network and the CS schedule, based on updated data values generated by the one or more sensors in accordance with the sampling schedule.