Abstract: A method for sensor data processing of sensor data of a surroundings sensor. The method includes providing the sensor data of the surroundings sensor acquiring at least one target object in the surroundings of the sensor, calculating a point cloud including a spatial distribution of a plurality of points assigned to respective reflections of the target object from the sensor data, inputting the points and the information sections of the sensor data respectively assigned to them into a trained processing model, calculating feature vectors assigned the points by the processing model depending on the input, outputting the points and the assigned feature vectors for further processing by a further processing model. A processing device is also described.

Abstract: A method for processing measurement data from a surveillance of an area into classification scores with respect to a given classification and/or properties of objects in the area. The method includes: providing a point cloud of measurement data that assigns, to each of a plurality of points in space, measurement values of at least one quantity; providing an input grid with a plurality of cells; assigning, based on the point cloud, values of the at least one measurement quantity, and/or of at least one work product derived therefrom, to each cell of the input grid; and processing, by a task neural network, the input grid into an output grid whose cells carry classification scores and/or properties of objects as values.

Abstract: An adapter for an automation field device comprises a first communications interface designed for linking to a HART or 4-20 mA communications loop; a second communications interface designed for linking to a Foundation Fieldbus or Profibus PA Fieldbus based on Manchester Bus Powered transmission technology; an electronics unit with operating software that instructs the electronics unit to convert HART or 4-20 mA telegrams sent by the field device and incoming at the first communications interface into Foundation Fieldbus- or Profibus PA-compatible telegrams and to output same via the second communications interface, and/or to convert Foundation Fieldbus or Profibus PA telegrams incoming at the second communications interface into HART- or 4-20 mA-compatible telegrams and to output same via the first communications interface; and a power supply unit designed to tap electrical energy from the Foundation Fieldbus or Profibus Fieldbus via the second communications interface.

Abstract: A method for object detection of an object based on measurement data from at least one point-based sensor capturing the object. The measurement data, which are based on a point cloud having a plurality of points and associated features, are processed in that, in a point-based first processing step having at least one processing level, the input-side features of the point cloud are realized as learned features, and are enriched at least by information about relationships between the points, and in a grid-based second processing step having at least one processing level, the learned features are then transferred onto a model grid having a plurality of grid cells, and cell-related output data are then generated. An image detection device, a computer program, and a storage unit, are also described.

Abstract: In various embodiments methods of preparing hydroxybutyryl 3-hydroxybutyrate and related compounds are provided along with methods of use thereof.

Abstract: In various embodiments methods of preparing hydroxybutyryl 3-hydroxybutyrate and related compounds are provided along with methods of use thereof.

Abstract: A radar-based environmental detection system for motor vehicles. The system includes at least one radar sensor for providing location data regarding objects in the environment of the motor vehicle, and including a neural network for converting the location data into an environmental model which represents spatio-temporal object data of the objects. The neural network is conditioned to give priority to outputting environmental models in which at least one predetermined physical relationship between the location data and the object data is satisfied.

Abstract: A method for the chronological correction of multimodal data includes: receiving a first data set from a reference sensor with measurements at different measurement timepoints, receiving a second data set of a second sensor with measurements at different measurement timepoints, each not exactly matching those of the reference sensor, reading the first and the second data sets by a neural network and identifying a respective plurality of feature vectors for the first and second data set at the respective measurement timepoints, merging and comparing the respective feature vectors, which refer to corresponding, not exactly matching measurement timepoints, by the neural network so that parameters of a chronological correction are identified, and identifying a chronological offset between the respective measurement timepoints of the reference sensor and the second sensor, and/or a corrected data set from the second sensor based on the measurement timepoints of the reference sensor.

Abstract: Learning extraction of movement information from sensor data includes providing a time series of frames of sensor data recorded by physical observation of an object, providing a time series of object boundary boxes each encompassing the object in sensor data frames, supplying the object boundary box at a time t, as well as a history of sensor data from the sensor data time series, and/or a history of object boundary boxes from the time series of object boundary boxes, prior to time t to a trainable machine learning model which predicts an object boundary box for a time t+k, comparing the predicted object boundary box with a comparison box obtained from the time series of object boundary boxes for the time t+k, evaluating a deviation between the predicted object boundary box and the comparison box using a predetermined cost function, and optimizing parameters which characterize the behavior of the model.

Abstract: A method for monitoring surroundings of a first sensor system. The method includes: providing a temporal sequence of data of the first sensor system for monitoring the surroundings; generating an input tensor including the temporal sequence of data of the first sensor system, for a trained neural network; the neural network being configured and trained to identify, on the basis of the input tensor, at least one subregion of the surroundings, in order to improve the monitoring of the surroundings with the aid of a second sensor system; generating a control signal for the second sensor system with the aid of an output signal of the trained neural network, in order to improve the monitoring of the surroundings in the at least one subregion.

Abstract: A method is for training an object detector configured to detect objects in sensor data of a sensor. The method includes providing first sensor data of the sensor, providing an object representation assigned to the first sensor data, and transmitting the object representation to a sensor model. The method further includes imaging object representations onto the first sensor data of the sensor with the sensor model, assigning the object representation to second sensor data with the sensor model, and training the object detector based on the second sensor data.

Abstract: Aspects of the present disclosure include fatty acid ?-hydroxyester compounds (e.g., fatty acid esters of ?-hydroxybutyrate), fatty acid esters of butanediol, and pharmaceutically acceptable salts thereof. Also provided are pharmaceutical compositions having one or more fatty acid ?-hydroxyester compounds and/or one or more fatty acid esters of butanediol. Methods for treating a subject by administering one or more esters to the subject are also provided. Kits containing one or more of the subject esters are also described.

Abstract: In one embodiment, an impedance matching network includes a mechanically variable capacitor (MVC), a second variable capacitor, and a control circuit. The control circuit carries out a first process of determining a second variable capacitor configuration for reducing a reflected power at the RF source output, and altering the second variable capacitor to the second variable capacitor configuration. The control circuit also carries out a second process of determining an RF source frequency, and, upon determining that the RF source frequency is outside, at a minimum, or at a maximum of a predetermined frequency range, determining a new MVC configuration to cause the RF source frequency, according to an RF source frequency tuning process, to be altered to be within or closer to the predetermined frequency range. The determination of the new MVC configuration is based on the RF source frequency and the predetermined frequency range.

Abstract: A method for creating a training dataset, a validation dataset, and/or a test dataset for an AI module from measurement data includes dividing the measurement data into divided portions based on time periods, applying a mathematical function to the divided portions of the measurement data in order to obtain signatures representing the divided portions, determining a measure of a frequency of occurrence of a respective signature of the obtained signatures, and creating the training dataset, the validation dataset, and/or the test dataset from the measurement data based on the determined measure of the frequency.

Abstract: Aspects of the present disclosure include fatty acid ?-hydroxyester compounds (e.g., fatty acid esters of ?-hydroxybutyrate), fatty acid esters of butanediol, and pharmaceutically acceptable salts thereof. Also provided are pharmaceutical compositions having one or more fatty acid ?-hydroxyester compounds and/or one or more fatty acid esters of butanediol. Methods for treating a subject by administering one or more esters to the subject are also provided. Kits containing one or more of the subject esters are also described.

Abstract: In various embodiments methods of preparing hydroxybutyryl 3-hydroxybutyrate and related compounds are provided along with methods of use thereof.

Abstract: Aspects of the present disclosure include fatty acid ?-hydroxyester compounds (e.g., fatty acid esters of ?-hydroxybutyrate), fatty acid esters of butanediol, and pharmaceutically acceptable salts thereof. Also provided are pharmaceutical compositions having one or more fatty acid ?-hydroxyester compounds and/or one or more fatty acid esters of butanediol. Methods for treating a subject by administering one or more esters to the subject are also provided. Kits containing one or more of the subject esters are also described.

Abstract: In one embodiment, the present disclosure is directed to a method for impedance matching. The RF source provides at least two repeating, non-zero pulse levels, including a high-priority pulse level and a low-priority pulse level. The matching network comprises at least one EVC, which comprises discrete capacitors configured to switch in and out to provide a plurality of match configurations. Each EVC has a switching limit comprising a predetermined number of switches in or out of the EVC's discrete capacitors in a prior time interval. Upon determining that switching to a new match configuration would cause an EVC to reach the switching limit, the method determines whether the new match configuration is for the low- or high-priority pulse level. If for the low-priority pulse level, the method prevents the switching of the EVC. If for the high-priority pulse level, the method switches the EVC to the new match configuration.

Abstract: In one embodiment, the present disclosure is directed to a method for impedance matching. The RF source provides at least two repeating, non-zero pulse levels, including a high-priority pulse level and a low-priority pulse level. The matching network comprises at least one EVC, which comprises discrete capacitors configured to switch in and out to provide a plurality of match configurations. Each EVC has a switching limit comprising a predetermined number of switches in or out of the EVC's discrete capacitors in a prior time interval. Upon determining that switching to a new match configuration would cause an EVC to reach the switching limit, the method determines whether the new match configuration is for the low- or high-priority pulse level. If for the low-priority pulse level, the method prevents the switching of the EVC. If for the high-priority pulse level, the method switches the EVC to the new match configuration.

Abstract: In one embodiment, an impedance matching network includes a mechanically variable capacitor (MVC), a second variable capacitor, and a control circuit. The control circuit carries out a first process of determining a second variable capacitor configuration for reducing a reflected power at the RF source output, and altering the second variable capacitor to the second variable capacitor configuration. The control circuit also carries out a second process of determining an RF source frequency, and, upon determining that the RF source frequency is outside, at a minimum, or at a maximum of a predetermined frequency range, determining a new MVC configuration to cause the RF source frequency, according to an RF source frequency tuning process, to be altered to be within or closer to the predetermined frequency range. The determination of the new MVC configuration is based on the RF source frequency and the predetermined frequency range.