Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources, wherein the gas sensors are heated according to one or more first temperature profiles during the recovery phases and according to one or more second temperature profiles during the sense phases; a preprocessing processor for generating preprocessed signal samples; a feature extraction processor for extracting one or more feature values from the received preprocessed signal samples; and a gas concentration processor for creating a sensing result, wherein the gas concentration processor includes a classification processor for outputting a class decision value, wherein the classification processor is configured for outputting a confidence value, wherein the classification processor includes a first trained model based algorithm processor, wherein the gas concentration processor comprises a quantification processor for creating an estimation value, and wherein the quantification processor comprises a second trained m

Abstract: A ramp actuator has a pivotable ramp disc, which on a first end face has at least one ramp, which is prepared for the rolling of a rolling body and, spaced apart therefrom, has a raceway for bearing rolling bodies of a rolling bearing prepared to receive radial and axial forces. A bearing ring can be fixed on a shaft, wherein the ratio of the axial width of the ramp disc relative to the support height thereof is between 2.9 and 4.1 and the ratio between the ramp radius of the ramp of the ramp disc relative to the support height of the ramp disc is between 0.7 and 1.3. A method for producing a ramp disc for such a ramp actuator includes drawing, upset forging and embossing, preferably carried out in that order.

Abstract: In an embodiment, a method includes: obtaining one or more radar measurement frames, each one of the one or more radar measurement frames including respective data samples acquired by a radar sensor monitoring a scene; for each one of the one or more radar measurement frames, determining a respective 2-D angular intensity map of the scene based on the respective radar measurement frame; and performing a people counting operation based on the one or more 2-D angular intensity maps determined for the one or more radar measurement frames to determine a people count for the scene.

Abstract: A plug-type connector part is described. The plug-type connector part includes a rear part and an insertion part attached to or integrally formed with the rear part. The insertion part extends from the rear part in a mating direction of the plug-type connector part. The insertion part includes a plurality of contact elements. The plug-type connector part includes a handle element attached to or integrally formed with the rear part. The handle element is located opposite of the insertion part and faces the insertion part, with an interspace between the handle element and the insertion part.

Abstract: An exemplary embodiment relates to a device for training a neural network for determining a rotation angle of an object. The device is configured to receive system data via a sensor system for measuring a magnetic field in order to determine the rotation angle. The device is also configured to generate error data which includes at least one deviation of the system data from a target state of the sensor system or the strength of the components of a superimposed external magnetic field. Furthermore, the device is configured to create training data using the system data and the error data and to train the neural network using the training data.

Abstract: A ramp actuator has a pivotable ramp disc, which on a first end face has at least one ramp, which is prepared for the rolling of a rolling body and, spaced apart therefrom, has a raceway for bearing rolling bodies of a rolling bearing prepared to receive radial and axial forces. A bearing ring can be fixed on a shaft, wherein the ratio of the axial width of the ramp disc relative to the support height thereof is between 2.9 and 4.1 and the ratio between the ramp radius of the ramp of the ramp disc relative to the support height of the ramp disc is between 0.7 and 1.3. A method for producing a ramp disc for such a ramp actuator includes drawing, upset forging and embossing, preferably carried out in that order.

Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources, wherein the gas sensors are heated according to one or more first temperature profiles during the recovery phases and according to one or more second temperature profiles during the sense phases; a preprocessing processor for generating preprocessed signal samples; a feature extraction processor for extracting one or more feature values from the received preprocessed signal samples; and a gas concentration processor for creating a sensing result, wherein the gas concentration processor includes a classification processor for outputting a class decision value, wherein the classification processor is configured for outputting a confidence value, wherein the classification processor includes a first trained model based algorithm processor, wherein the gas concentration processor comprises a quantification processor for creating an estimation value, and wherein the quantification processor comprises a second trained m

Abstract: A transmission unit includes a transmission housing, a transmission element rotatably accommodated in the transmission housing, a bearing seat, and an angular contact ball bearing accommodated in the bearing seat, for mounting the transmission element, as well as a double-row angular contact ball bearing having: an inner bearing ring; an outer bearing ring; a first ball-cage assembly with first balls which are accommodated in a first track space extending between a first inner rolling element raceway of the inner bearing ring and a first outer rolling element raceway of the outer bearing ring; and a second ball-cage assembly with second balls which are accommodated in a second track space extending between a second inner rolling element track of the inner bearing ring and a second outer rolling element track of the outer bearing ring.

Abstract: In accordance with an embodiment, a system includes: an audio signal pre-processor; a pressure signal pre-processor; an audio signal feature processor; a pressure signal feature processor; a feature combining processor; and a classification processor configured for classifying the external impact on a window or access opening of an enclosed structure by classifying an audio feature and pressure feature vector in order to produce a classification output; wherein the classification processor is configured for executing a first machine learning algorithm, wherein the audio feature and pressure feature vector is fed to an input layer of the first machine learning algorithm, and wherein the classification output is based on an output of the first machine learning algorithm.

Abstract: A transmission unit includes a transmission housing, a transmission element rotatably accommodated in the transmission housing, a bearing seat, and an angular contact ball bearing accommodated in the bearing seat, for mounting the transmission element, as well as a double-row angular contact ball bearing having: an inner bearing ring; a first inner concave rolling element raceway formed in an outer peripheral region of the inner bearing ring; a second inner concave rolling element raceway axially offset to the first inner rolling element raceway and formed in the outer peripheral region of the inner bearing ring; an outer bearing ring; a first outer concave rolling element raceway formed in an inner peripheral region of the outer bearing ring; a second outer concave rolling element raceway axially offset to the first outer rolling element raceway and formed in the outer bearing ring; a first ball-cage assembly with first balls which are accommodated in a first track space extending between the first inner rol

Abstract: The present invention relates to an electrolyte composition as well as a method for the deposition of zinc-nickel alloy layers on substrates, in particular cast iron or steel substrates. The electrolyte compositions according to the invention comprise aminoacetic acid. The alloy layers deposited from the electrolyte compositions according to the invention are corrosion resistant and bright and nearly have no internal tension.

Abstract: The invention relates to a bearing arrangement (1) comprising an at least partially planar bearing support (2) that has a supporting bore (5), and at least one bearing (6) which is connected to said bearing support (2). An external ring (7) of the bearing (6) is provided with a recess (14) for accommodating the bearing support (2). According to the invention, the axially internal end of the recess (14) has an undercut (15), the diameter (D1) of which in relation to a bearing axis (11) is smaller than a diameter (D2) formed by an axially extending section of the recess (14). A slotted ring-type holding element (16) which positively covers the bearing support (2) in a radial direction in at least one circumferential point is inserted into the undercut (15).

Abstract: The present invention relates to an electrolyte composition as well as a method for the deposition of zinc-nickel alloy layers on substrates, in particular cast iron or steel substrates. The electrolyte compositions according to the invention comprise aminoacetic acid. The alloy layers deposited from the electrolyte compositions according to the invention are corrosion resistant and bright and nearly have no internal tension.

Abstract: Nuclear magnetic resonance (NMR) signals are detected in microtesla fields. Prepolarization in millitesla fields is followed by detection with an untuned dc superconducting quantum interference device (SQUID) magnetometer. Because the sensitivity of the SQUID is frequency independent, both signal-to-noise ratio (SNR) and spectral resolution are enhanced by detecting the NMR signal in extremely low magnetic fields, where the NMR lines become very narrow even for grossly inhomogeneous measurement fields. MRI in ultralow magnetic field is based on the NMR at ultralow fields. Gradient magnetic fields are applied, and images are constructed from the detected NMR signals.

Abstract: Nuclear magnetic resonance (NMR) signals are detected in microtesla fields. Prepolarization in millitesla fields is followed by detection with an untuned dc superconducting quantum interference device (SQUID) magnetometer. Because the sensitivity of the SQUID is frequency independent, both signal-to-noise ratio (SNR) and spectral resolution are enhanced by detecting the NMR signal in extremely low magnetic fields, where the NMR lines become very narrow even for grossly inhomogeneous measurement fields. MRI in ultralow magnetic field is based on the NMR at ultralow fields. Gradient magnetic fields are applied, and images are constructed from the detected NMR signals.

Abstract: Nuclear magnetic resonance (NMR) signals are detected in microtesla fields. Prepolarization in millitesla fields is followed by detection with an untuned dc superconducting quantum interference device (SQUID) magnetometer. Because the sensitivity of the SQUID is frequency independent, both signal-to-noise ratio (SNR) and spectral resolution are enhanced by detecting the NMR signal in extremely low magnetic fields, where the NMR lines become very narrow even for grossly inhomogeneous measurement fields. MRI in ultralow magnetic field is based on the NMR at ultralow fields. Gradient magnetic fields are applied, and images are constructed from the detected NMR signals.

Abstract: Nuclear magnetic resonance (NMR) signals are detected in microtesla fields. Prepolarization in millitesla fields is followed by detection with an untuned de superconducting quantum interference device (SQUID) magnetometer. Because the sensitivity of the SQUID is frequency independent, both signal-to-noise ratio (SNR) and spectral resolution are enhanced by detecting the NMR signal in extremely low magnetic fields, where the NMR lines become very narrow even for grossly inhomogeneous measurement fields. MRI in ultralow magnetic field is based on the NMR at ultralow fields. Gradient magnetic fields are applied, and images are constructed from the detected NMR signals.

Abstract: Nuclear magnetic resonance (NMR) signals are detected in microtesla fields. Prepolarization in millitesla fields is followed by detection with an untuned de superconducting quantum interference device (SQUID) magnetometer. Because the sensitivity of the SQUID is frequency independent, both signal-to-noise ratio (SNR) and spectral resolution are enhanced by detecting the NMR signal in extremely low magnetic fields, where the NMR lines become very narrow even for grossly inhomogeneous measurement fields. MRI in ultralow magnetic field is based on the NMR at ultralow fields. Gradient magnetic fields are applied, and images are constructed from the detected NMR signals.