Abstract: A protection adapter for the overvoltage protection of an electrical operating device in a high-voltage line. The protection adapter has a first adapter interface for electrically conductively coupling to an open-air interface of the high-voltage line, a second adapter interface for electrically conductively coupling to an operating-means interface of an electrical operating device, a connecting line for electrically conductively coupling the first adapter interface and the second adapter interface, and an electrically insulating insulation sheath which surrounds at least the connecting line. The protection adapter has a characteristic impedance for reducing electrical surges from the high-voltage line. There is also described a system with a high-voltage line, an electrical operating device, and a protection adapter.

Abstract: Systems, methods, and apparatus for performing an action when an aggregated confidence measure. Data is received from a first sensor proximate to a particular air space. Data is also received from a second sensor and a third sensor proximate to the particular air space. The data from the first sensor, second sensor, and third sensor are each analyzed to determine respective confidence measures that a UAV is within the particular air space. The first sensor corresponds to a first type of data, the second sensor corresponds to a second type of data, and the third sensor corresponds to a third type of data. The confidence measures from each sensor are aggregated together to generate a combined confidence measure indicating a possible presence of the UAV within in the particular air space. When the combined confidence measure exceeds a threshold, an action is taken.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. A computing device can tune the RF receiver to a particular frequency set. The computing device can receive RF signal data corresponding to a plurality of RF signals via the RF receiver. The computing device can detect a plurality of signal characteristics corresponding to the plurality of RF signals from the RF signal data. The computing device can identify a matching RF signal by comparing the RF signal data to a plurality of known RF signals. The computing device can apply a predetermined rule set to the matching RF signal to determine at least one action to take.

Abstract: The invention enables an adequate crankcase negative pressure in an internal combustion engine, in all operating ranges to the extent possible and using a suction device for the crankcase ventilation of an internal combustion engine, which suction device is equipped with a housing, a controllable electric motor and a compressor for conveying crankcase gas, which compressor is driven by the electric motor, the compressor having connection points for a crankcase ventilation line, such that the crankcase pressure of the internal combustion engine is controllable by controlling the electric motor.

Abstract: An elemental analysis of rock samples from outcrop sections or wells is performed. Data quality checks, data analysis, and filtering are performed on the rock samples, including de-spiking of elemental profiles and elemental ratios. First and second derivatives for the elemental profiles and the elemental ratios are calculated. Samples and depths that exceed thresholds are determined. The process is repeated for the elemental profiles and the elemental ratios that are related with boundary determination and carbonate or siliciclastic sediments. Additional filters are applied to at least a subset of the elemental profiles and elemental ratios that are related with boundary determination and carbonate or siliciclastic sediments to enhance the boundary identification. Possible boundaries in depths of the outcrop sections or wells are determined by summarizing the additionally filtered elemental profiles and the additionally filtered elemental ratios.

Abstract: Sensor cleaning system for cleaning sensors, in particular vehicle sensors, and associated method, characterized by a liquid reservoir for holding a cleaning liquid, and including a control unit for activating a switch unit and including at least one nozzle for spraying at least one sensor, the switch unit being provided between the liquid reservoir and the at least one nozzle, a liquid line being provided between the liquid reservoir and the switch unit and at least one nozzle line being provided between the switch unit and the at least one nozzle.

Abstract: The invention enables an adequate crankcase negative pressure in an internal combustion engine, in all operating ranges to the extent possible and using a suction device for the crankcase ventilation of an internal combustion engine, which suction device is equipped with a housing, a controllable electric motor and a compressor for conveying crankcase gas, which compressor is driven by the electric motor, the compressor having connection points for a crankcase ventilation line, such that the crankcase pressure of the internal combustion engine is controllable by controlling the electric motor.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: An elemental analysis of rock samples from outcrop sections or wells is performed. Data quality checks, data analysis, and filtering are performed on the rock samples, including de-spiking of elemental profiles and elemental ratios. First and second derivatives for the elemental profiles and the elemental ratios are calculated. Samples and depths that exceed thresholds are determined. The process is repeated for the elemental profiles and the elemental ratios that are related with boundary determination and carbonate or siliciclastic sediments. Additional filters are applied to at least a subset of the elemental profiles and elemental ratios that are related with boundary determination and carbonate or siliciclastic sediments to enhance the boundary identification. Possible boundaries in depths of the outcrop sections or wells are determined by summarizing the additionally filtered elemental profiles and the additionally filtered elemental ratios.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: A hydraulic valve for a cam phaser, the hydraulic valve including a bushing element, including a longitudinal channel, a first transversal channel originating from the longitudinal channel, a second transversal channel originating from the longitudinal channel, a pressure balanced hollow piston arranged within the longitudinal channel axially moveable between a first end position and a second end position, wherein the longitudinal channel includes a first channel section with a larger inner diameter and a second channel section with a smaller inner diameter, wherein the first transversal channel originates from the first channel section and the second transversal channel originates from the second channel section, wherein the hollow piston includes a longitudinal channel with an axial opening, at least one transversal channel, a first piston section with a greater outer diameter and a second piston section with a smaller outer diameter.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.