Abstract: The disclosure relates to a method for operating a braking system of a vehicle during autonomous parking processes, including a first electronic control unit, a service brake system, and a partial braking system. The first control unit is designed for activating the service brake system and the partial braking system, in which an autonomous parking process is initiated, followed by an activation of the service brake system by the first control unit to generate a braking force. In the event of a failure of the service brake system, the partial braking system is activated by the first control unit to generate a braking force while the autonomous parking process is continued by utilising the partial braking system. The disclosure also relates to a vehicle control system for controlling autonomous parking processes.

Abstract: A device for splicing band strips, including a conveyor belt transporting a first band portion, a splicing apparatus including a splicing unit that splices a leading edge of a band strip on the conveyor belt with a trailing edge of a previously spliced band strip. A transport belt transports the spliced band strip. A sensor device detects a position of the conveyed band strip for aligning the conveyed band strip and the spliced band with an alignment device. The sensor device has a first sensor for detecting the position of a longitudinal edge of the band strip. A control device determines a lateral offset of the detected position of the longitudinal edge relative to the position of the longitudinal edge of the spliced band, and, when an offset is determined, controls a drive of the splicing apparatus, which is displaceable transversely to the conveying direction of the conveyor belt, in order to align the two longitudinal edges.

Abstract: A device for providing a material band, including: an unwinding device for unwinding a material band, having two holders for receiving a respective roll of the material band, both holders being movable from a non-working position, in which a roll is received, and a working position, in which the roll is unwound; a transport device, downstream of the unwinding device, for the unwound material strip; a device for connecting a rear end of the unwound material band to a front end of the material band to be unwound; a position detection device including a sensor device for detecting sensor information which describes the position of the strip material in the holders, and a control device for detecting position information based on the sensor information. The position of the strip material to be unwound relative to the unwound strip material can be aligned as a function of the position information.

Abstract: A method for producing separated strip-like laminate components including an electronic component embedded between two laminate layers of a tape-like material. Individual components are placed at defined intervals by a placement device onto a tape-like, lower first laminate layer moved in a conveying direction by a transport device, after which a tape-like, upper second laminate layer moved in the conveying direction is applied to the first laminate layer with embedding of the components to form a laminate tape. The individual strip-like laminate components are cut from the laminate tape by a cutting device having a movable cutting blade, which laminate components are picked up by a gripper device and transported away. The front end of the laminate tape is gripped by the gripper device in the region of a component and moved synchronously with the clocked movement of the transport device by a predetermined distance through the cutting device and positioned relative to the cutting blade.

Abstract: A device and a computer implemented method for testing a language model in particular for operating a computer-controlled machine, wherein the method comprises providing a first harmful instruction from a dataset that comprises a plurality of harmful instructions, determining a first adversarial suffix depending on the first harmful instruction, prompting the language model to output a first response to a first input, wherein the first input comprises the first harmful instruction, and wherein the first input comprises the first adversarial suffix, providing the first response of the language model, and determining, in particular depending on the first response, whether the first response is harmful or not.

Abstract: A device, a method and a computer program for training and/or verifying the robustness of an artificial neural network. The artificial neural network is designed to determine an output variable. The method includes: predefining an input variable for the network which has a plurality of dimensions. For each dimension of the input variable or for each dimension of an output of a linear layer of the artificial neural network without an activation function to which the input variable is mapped by the artificial neural network, the method includes a determination of an upper input variable limit for which a disturbance variable model by which the input variable is able to be mapped to a disturbed input variable has the highest possible value in the dimension, and a determination of a lower input variable limit for which the disturbance variable model has the lowest value possible in the dimension.

Abstract: A braking system for a vehicle is disclosed, the braking system configured for selectively applying pressure to and relieving pressure from at least two pressure connections for brake actuators. The braking system comprises an electro-fluidic braking module with an electrically-actuatable pressure generating unit, a master cylinder module comprising a fluidic brake master cylinderactuatable by a brake pedal, wherein the electro-fluidic braking module and the master cylinder module are coupled to the pressure connections via at least one selector valve. The braking system also has a control unit which is designed to activate the electro-fluidic braking module and the at least one selector valve for applying pressure to the pressure connections, and to activate the electro-fluidic braking module to increase a fluid pressure in the master cylinder module while the at least one selector valve is in the first switching position. A method for operating a braking system is also provided.

Abstract: The disclosure relates to a method for operating a hydraulic braking system in a motor vehicle having a regenerative braking function. The method comprises steps that, with respect to at least two wheel brakes, a hydraulic free travel release is carried out such that, with respect to one of the at least two wheel brakes, a hydraulic passage to an accumulator is released in order to store therein at least a volume fraction of the hydraulic fluid in the event of a displacement of a hydraulic fluid. The other of the at least two wheel brakes is hydraulically isolated. The disclosure also relates to a hydraulic braking system for a motor vehicle having a regenerative braking function and a method for controlling said braking system.

Abstract: A method for providing an activation signal for activating an actuator. The activation signal is ascertained as a function of an output signal of a neural network. The neural network includes a scaling layer. The scaling layer maps an input signal present at the input of the scaling layer onto an output signal present at the output of the scaling layer in such a way that this mapping corresponds to a projection of the input signal onto a predefinable value range, parameters being predefinable, which characterize the mapping.

Abstract: A computer-implemented method for training a neural network. The neural network is configured to determine an output signal based on an input signal. The training includes training parameters of a depth-wise convolutional layer of the neural network. The depth-wise convolutional layer is initialized based on values drawn from a predefined probability distribution. A variance of the probability distribution is characterized by a reciprocal of a square root of a number of filters applied at each depth of an input of the depth-wise convolutional layer.

Abstract: A remote switch including a first wireless interface for sending switch commands. The remote switch has a second wireless interface arranged separate from the first. The second wireless interface is configured for the wireless transmission of information between the remote switch and an external device. A method for communication between a remote switch and an external device is also disclosed. The method involves creating a communication link between a wireless interface of the remote switch and a wireless interface of the external device and transmitting information between the remote switch and the external device by the established communication link. This allows for simple configuration or maintenance of the remote switch by the external device according to the exchanged information.

Abstract: A computer-implemented method for assessing a robustness of a smoothed classifier for classifying sensor signals received from a sensor. The method includes: providing an input signal depending on the sensor signal, determining, by the smoothed classifier, a first value which characterizes a probability that the input signal, when subjected to noise will be classified as belonging to a first class, wherein the first class is a most probable class, determining, by the smoothed classifier, a second value which characterizes a probability that the input signal, when subjected to the noise, will be classified as belonging to a second class, wherein the second class is a second-most probable class, determining a robustness value on a first inverse value of a standard Gaussian cumulative distribution function at the first value and/or depending on a second inverse value of the standard Gaussian cumulative distribution function at the second value.

Abstract: A method for training a machine learning model to classify sensor data. The method includes, for each training sensor data element of a plurality of training sensor data elements, processing a relevant input vector through a sequence of decisions of the machine learning model, wherein, for each decision, the scalar product of the input vector with a relevant parameter vector is formed and the result of the decision depends on whether the scalar product is less or greater than a specified relevant parameter; ascertaining a loss for the training data element; and adjusting the machine learning model to reduce a total loss, which includes the losses ascertained for the sensor data training data elements, wherein the parameter vector for each decision of the machine learning model is adjusted within a continuous value range.

Abstract: A method to classify sensor data with improved robustness against label noise. A predicted label may be computed for a novel input with improved robustness against label noise by estimating a label which is most likely under repeated application of a base training function to the training labels incorporating noise according to a noise level and subsequent application of a base classifier configured according to the base prediction function to the novel input.

Abstract: A neural network architecture for processing measurement data. The neural network architecture includes a plurality of layers in each case with a plurality of neurons. Each neuron is designed to process complex-valued inputs with a holomorphic calculation function to produce an activation and to ascertain its output by applying a non-linear activation function to this activation. The activation function is also holomorphic.

Abstract: An electromagnetic energy converter for a remote switch. The energy converter has an electrical coil and magnetic components, which comprise at least one permanent magnet and at least one ferromagnetic element. The permanent magnet and/or the ferromagnetic element are each movable between two extreme positions, where the movement of the permanent magnet and/or of the ferromagnetic element between the extreme positions leads to a directional reversal of a magnetic flux in the magnetic circuit. The magnetic flux is enclosed at least in part by the coil. At least one of the extreme positions is configured as a contactless extreme position at which at least two of the magnet components do not contact.

Abstract: A remote sensor including a first wireless interface for sending out data. The remote sensor has a second wireless interface arranged separate from the first wireless interface. The second wireless interface is configured for the wireless transmission of information between the remote sensor and an external device. The invention also relates to a method for communication between a remote sensor and an external device. The method involves creating a communication link between a wireless interface of the remote sensor and a wireless interface of the external device, as well as transmitting information between the remote sensor and the external device by the established communication link. This allows for simple configuration or maintenance of the remote sensor by the external device according to the exchanged information.

Abstract: Terpolymer, wherein 20 to 35% by weight of the structural units are derived from acrylic acid, 45 to 60% by weight of the structural units from a hydrophobic methacrylate selected from a group consisting of isopropyl methacrylate, tert-butyl methacrylate and cyclohexyl methacrylate and 15 to 40% by weight of the structural units from a third olefinic monomer selected from the group consisting of N-vinyl lactam, hydroxy ethyl methacrylate and phenoxyethyl acrylate with the proviso that the total amount of structural units derived from the three monomer groups adds up to 100% by weight, and the use of the terpolymers as crystallization inhibitors in pharmaceutical dosage forms for inhibiting the recrystallization in an aqueous environment of a human or animal body of an active ingredient.

Abstract: A computer-implemented method for training a classifier, particularly a binary classifier, for classifying input signals to optimize performance according to a non-decomposable metric that measures an alignment between classifications corresponding to input signals of a set of training data and corresponding predicted classifications of the input signals obtained from the classifier. The method includes providing weighting factors that characterize how the non-decomposable metric depends on a plurality of terms from a confusion matrix of the classifications and the predicted classifications, and training the classifier depending on the provided weighting factors.

Abstract: An apparatus for detecting the activity of persons or the state of infrastructures or objects influenced by persons by means of acceleration measurement. The device has an acceleration sensor which is arranged to react to a preset threshold value of a measured acceleration and, when the threshold value is exceeded, to trigger at least one of the actions of data storage, modification of a counter or transmission of a data telegram by radio. The apparatus further comprises an energy converter for converting a primary energy into electrical energy for operating the apparatus or the acceleration sensor. The energy converter is arranged to obtain the primary energy independently of an energy resulting from a measured acceleration.