Abstract: Pairwise entity matching systems and methods are disclosed herein. A deep learning model may be used to match entities from separate data tables. Entities may be preprocessed to fuse textual and numeric data early in the neural network architecture. Numeric data may be represented as a vector of a geometrically progressing function. By fusing textual and numeric data, including dates, early in the neural network architecture the neural network may better learn the relationships between the numeric and textual data. Once preprocessed, the paired entities may be scored and matched using a neural network.

Abstract: Pairwise entity matching systems and methods are disclosed herein. A deep learning model may be used to match entities from separate data tables. Entities may be preprocessed to fuse textual and numeric data early in the neural network architecture. Numeric data may be represented as a vector of a geometrically progressing function. By fusing textual and numeric data, including dates, early in the neural network architecture the neural network may better learn the relationships between the numeric and textual data. Once preprocessed, the paired entities may be scored and matched using a neural network.

Abstract: A method for monitoring acceleration of a number A of axes of a multi-axis kinematic system utilizes a sampling process with a first sampling interval, wherein a first acceleration limit value assigned to the first sampling interval and a second different acceleration limit value is determined for the acceleration, where a second time interval is assigned to the second acceleration limit value, a plurality of position values of the axis is determined by sampling with the first sampling interval, a current acceleration is calculated via the ascertained position values, and the calculated current acceleration is monitored via a first instance of monitoring utilizing the first acceleration limit value and the assigned first sampling interval and, simultaneously, via a second instance of monitoring utilizing the second acceleration limit value and the assigned second time interval, such that acceleration of an axis is monitored using at least two acceleration limit values simultaneously.

Abstract: A vehicle roof for a motor vehicle having a roof opening which is defined by a peripheral vehicle roof edge, a moveable roof element for either closing or at least partially exposing the roof opening, which is held on the vehicle roof, and a continuous profiled seal fixed to the vehicle roof along the vehicle roof edge, wherein the continuous profiled seal comprises a first tubular seal, wherein the first tubular seal is designed to seal the vehicle roof in relation to the moveable roof element, the first tubular seal has a drainage lip, which extends downwards in a vertical direction (Z) from the first tubular seal.

Abstract: A molding tool (1000), in particular a thermoforming tool, for producing a container (10) is provided. The molding tool comprises a mold bottom (200) and a mold insert (100) receiving the mold bottom (200), wherein the mold insert (100) is constructed of at least two mold insert parts (110, 120) that together with the mold bottom (200) define a cavity (300) provided for reshaping a two-dimensional web of material into a container, wherein a first mold insert part (110) is mounted stationary in the molding tool (1000) and a second mold insert part is axially movable in the molding tool (1000).

Abstract: A roof arrangement for a vehicle roof with a roof opening may have a movable roof element for optionally closing or at least partially opening the roof opening, wherein the roof element is held by a frame; a first strand-like sealing profile; a second strand-like sealing profile which is formed separately from the first sealing profile, wherein the first sealing profile is configured for sealing in relation to the movable roof element and is fastenable to the vehicle roof; and the second sealing profile is fastened to the frame and is configured for sealing in relation to the frame, wherein the second sealing profile has a drip lip which lies against the frame.

Abstract: In an example embodiment, a deep neural network may be utilized to determine matches between candidate pairs of entities, as well as confidence scores that reflect how certain the deep neural network is about the corresponding match. The deep neural network is also able to find these matches without requiring domain knowledge that would be required if features for a machine-learned model were handcrafted, which is a drawback of prior art machine-learned models used to match entities in multiple tables. Thus, the deep neural network improves on the functioning of prior art machine learned models designed to perform the same tasks. Specifically, the deep neural network learns the relationships of tabular fields and the patterns that define a match from historical data alone, making this approach generic and applicable independent of the context.

Abstract: An optical sensor device configured to detect a time of flight of an electromagnetic signal includes a semiconductor substrate having a main surface and a conversion region configured to convert at least a fraction of the electromagnetic signal into photo-generated charge carriers; a first control electrode formed in a trench extending from the main surface into the semiconductor substrate; a second control electrode disposed directly or indirectly on the main surface; a control circuit configured to apply a varying first potential to the first control electrode and to apply a varying second potential to the second control electrode, where the varying second potential has a fixed phase relationship to the first varying potential, to generate electric potential distributions in the conversion region to direct the photo-generated charge carriers; and a readout node arranged in the semiconductor substrate and configured to detect the directed photo-generated charge carriers.

Abstract: A vehicle roof for a motor vehicle having a roof opening which is defined by a peripheral vehicle roof edge, a moveable roof element for either closing or at least partially exposing the roof opening, which is held on the vehicle roof, and a continuous profiled seal fixed to the vehicle roof along the vehicle roof edge, wherein the continuous profiled seal comprises a first tubular seal, wherein the first tubular seal is designed to seal the vehicle roof in relation to the moveable roof element, the first tubular seal has a drainage lip, which extends downwards in a vertical direction (Z) from the first tubular seal.

Abstract: A roof arrangement for a vehicle roof with a movable roof element and underlying frame with a seal hose having a strand shaped seal profile having a drain lip extending below an uppermost web of the frame.

Abstract: A method for monitoring acceleration of a number A of axes of a multi-axis kinematic system utilizes a sampling process with a first sampling interval, wherein a first acceleration limit value assigned to the first sampling interval and a second different acceleration limit value is determined for the acceleration, where a second time interval is assigned to the second acceleration limit value, a plurality of position values of the axis is determined by sampling with the first sampling interval, a current acceleration is calculated via the ascertained position values, and the calculated current acceleration is monitored via a first instance of monitoring utilizing the first acceleration limit value and the assigned first sampling interval and, simultaneously, via a second instance of monitoring utilizing the second acceleration limit value and the assigned second time interval, such that acceleration of an axis is monitored using at least two acceleration limit values simultaneously.

Abstract: A method for acoustic scene playback is described, which comprises: providing recording data comprising microphone signals of microphone setups positioned within an acoustic scene and microphone metadata of the microphone setups, each of the microphone setups has a recording spot which is a center position of the respective microphone setup; specifying a virtual listening position within the acoustic scene; assigning each microphone setup Virtual Loudspeaker Objects, VLOs, wherein each VLO is an abstract sound output object within a virtual free field; generating an encoded data stream based on the recording data, the virtual listening position and VLO parameters of the VLOs assigned to the microphone setups; and decoding the encoded data stream based on a playback setup, thereby generating a decoded data stream; and feeding the decoded data stream to a rendering device, thereby driving the rendering device to reproduce sound of the acoustic scene at the virtual listening position.

Abstract: Aspects of the present disclosure therefore involve systems and methods for identifying a set of visually similar scenes to a target scene selected or otherwise identified by a match analyst. A scene retrieval platform performs operations for: receiving an input that comprises an identification of a scene; retrieving a set of coordinates based on the scene identified by the input, where the set of coordinates identify positions of the entities depicted within the frames; generating a set of vector values based on the coordinates of the entities depicted within each of the frames; concatenating the set of vector values to generate a concatenated vector value that represents the scene; generating a visual representation of the concatenated vector value; and identifying one or more similar scenes to the scene identified by the input based on the visual representation of the concatenated vector value.

Abstract: Aspects of the present disclosure therefore involve systems and methods for identifying a set of visually similar scenes to a target scene selected or otherwise identified by a match analyst. A scene retrieval platform performs operations for: receiving an input that comprises an identification of a scene; retrieving a set of coordinates based on the scene identified by the input, where the set of coordinates identify positions of the entities depicted within the frames; generating a set of vector values based on the coordinates of the entities depicted within each of the frames; concatenating the set of vector values to generate a concatenated vector value that represents the scene; generating a visual representation of the concatenated vector value; and identifying one or more similar scenes to the scene identified by the input based on the visual representation of the concatenated vector value.

Abstract: A roof arrangement for a vehicle roof with a roof opening may have a movable roof element for optionally closing or at least partially opening the roof opening, wherein the roof element is held by a frame; a first strand-like sealing profile; a second strand-like sealing profile which is formed separately from the first sealing profile, wherein the first sealing profile is configured for sealing in relation to the movable roof element and is fastenable to the vehicle roof; and the second sealing profile is fastened to the frame and is configured for sealing in relation to the frame, wherein the second sealing profile has a drip lip which lies against the frame.

Abstract: A sound signal processing apparatus including a plurality of microphones, where each microphone is configured to receive the sound signal from the target source, a processor configured to estimate a first power measure on the basis of the sound signal from the target source received by a first microphone of the microphones and a second power measure on the basis of the sound signal from the target source received by at least a second microphone of the microphones, which is located more distant from the target source than the first microphone, and the processor is further configured to determine a gain factor on the basis of a ratio between the second power measure and the first power measure, and an amplifier configured to apply the gain factor to the sound signal from the target source received by the first microphone.

Abstract: An optical sensor device configured to detect a time of flight of an electromagnetic signal includes a semiconductor substrate with a conversion region configured to convert at least a portion of the electromagnetic signal into photo-generated charge carriers. A deep control electrode is formed in a trench extending into the semiconductor substrate. The deep control electrode extends deeper into the semiconductor substrate than a shallow control electrode. A control circuit is configured to apply to the deep control electrode and to the shallow control electrode varying potentials having a fixed phase relationship to each other, to generate electric potential distributions in the conversion region, by which the photo-generated charge carriers in the conversion region are directed. The directed photo-generated charge carriers are detected at at least one readout node.

Abstract: An optical sensor device includes a semiconductor substrate including a conversion region to convert an electromagnetic signal into photo-generated charge carriers, a read-out node configured to read-out a first portion of the photo-generated charge carriers, a control electrode, which is formed in a trench extending into the semiconductor substrate, and a doping region in the semiconductor substrate, where the doping region is adjacent to the trench, where the doping region has a doping type different from the read out node, and where the doping region has a doping concentration so that the doping region remains depleted during operation.

Abstract: The invention relates to a roof arrangement (8) for a vehicle roof (2) having a roof opening (3), comprising a movable roof element (4) for selectively closing or at least partially opening the roof opening (3), a frame (5) which holds the roof element (4), and a strand-shaped seal profile (9) which extends in a horizontal main direction of extent, it being possible for the strand-shaped seal profile (9) to be fastened to the vehicle roof (2), and the said strand-shaped seal profile (9) having a first seal hose (10), the first seal hose (10) being configured for sealing with respect to the movable roof element (4), the frame (5) having an uppermost web (17), the first seal hose (10) being arranged above the uppermost web (17) in a state of the roof arrangement (8) in which it is mounted for proper operation on the vehicle roof (2), and the first seal hose (10) having a drain lip (22) which extends along a vertical direction from the seal hose (10) as far as below the uppermost web (17) of the frame.

Abstract: A method for acoustic scene playback is described, which comprises: providing recording data comprising microphone signals of microphone setups positioned within an acoustic scene and microphone metadata of the microphone setups, each of the microphone setups has a recording spot which is a center position of the respective microphone setup; specifying a virtual listening position within the acoustic scene; assigning each microphone setup Virtual Loudspeaker Objects, VLOs, wherein each VLO is an abstract sound output object within a virtual free field; generating an encoded data stream based on the recording data, the virtual listening position and VLO parameters of the VLOs assigned to the microphone setups; and decoding the encoded data stream based on a playback setup, thereby generating a decoded data stream; and feeding the decoded data stream to a rendering device, thereby driving the rendering device to reproduce sound of the acoustic scene at the virtual listening position.