Abstract: Method and system for motor-driven assistance of the movement of a vehicle door, wherein the vehicle door is driven by means of an electric motor, which is controlled by a control unit, depending on a force exerted on the vehicle door by an operator, in a manner assisting this force or exceeding the force, comprising the steps: the voltage induced in the electric motor due to the force exerted on the vehicle door by the operator is detected and transmitted to the control unit, this electrical voltage or a signal derived from it is compared with prescribed threshold values in the control unit during a defined, adjustable time interval, and the motor is driven by the control unit, depending on whether the threshold values are exceeded or undershot, in a manner merely assisting the force exerted on the vehicle door by the operator or exceeding the force.

Abstract: A molded body with a structured surface for reversible adhesion to surfaces includes projections having an aspect ratio of up to 10. The structure can be easily detached from the surface by a lateral movement.

Abstract: In some embodiments, a method can include receiving a signal representing a first status of a peripheral device. The method can further include identifying an action based on the first status of the peripheral device, each user from a subset of users being predesignated to perform the action. The method can further include sending, to a set of user devices, a signal representing the action. The method can further include receiving, from at least one user device, a signal representing an acceptance of the action. The method can further include sending, to each remaining user device from the set of user devices, a signal indicating the acceptance of the action by a different user device and a signal indicating that the action has been performed by the user and that causes the first status of the peripheral device to be changed to a second status of the peripheral device.

Abstract: Described herein is a method for identifying an interference pigment in a coating. Also described herein is a corresponding device and a computer-readable medium.

Abstract: In some embodiments, a method can include receiving a signal representing a first status of a peripheral device. The method can further include identifying an action based on the first status of the peripheral device, each user from a subset of users being predesignated to perform the action. The method can further include sending, to a set of user devices, a signal representing the action. The method can further include receiving, from at least one user device, a signal representing an acceptance of the action. The method can further include sending, to each remaining user device from the set of user devices, a signal indicating the acceptance of the action by a different user device and a signal indicating that the action has been performed by the user and that causes the first status of the peripheral device to be changed to a second status of the peripheral device.

Abstract: A molded body with a structured surface for reversible adhesion to surfaces includes projections having an aspect ratio of up to 10. The structure can be easily detached from the surface by a lateral movement.

Abstract: A method for performing a plurality of tests on a device under test comprises performing a plurality of tests on a device under test. Each test of the plurality of tests comprises a foreground process and a background process. The foreground process comprises a setup process during which a desired test mode is set. The background process comprises an upload process during which data captured from the device under test is provided. The foreground process is executed with a higher priority than the background process, thereby minimizing a delay between a start of consecutive tests of the device under test.

Abstract: Described herein is a method for predicting visual texture parameters of a paint having a known paint formulation. The visual texture parameters of the paint are determined using an artificial neural network on the basis of a number of color components used in the known paint formulation. The method includes determining a value of at least one characteristic variable describing at least one optical property using a physical model for the known paint formulation. The method also includes assigning the value to the known paint formulation, and transmitting the value to the artificial neural network as an input signal for determining the visual texture parameters. The value describes the at least one optical property for at least some of the number of color components of the known paint formulation. The method further includes training the neural network using a plurality of color originals each having a respective known paint formulation.

Abstract: A method for analyzing media assets such as video and audio files. The method includes providing access to all the frames of a digital media asset. The method includes, with a microprocessor, running a raw analyzer modules to analyze the asset frames to produce sets of raw analyzer result data that are stored in a data cache in a file associated with the asset. The sets of raw analyzer results are linked to the raw analyzer modules with unique identifiers. The digital media asset is played for the raw analyzer modules, which concurrently analyze the temporally-related frames. The raw analyzer results are stored as data tracks that include metadata for the asset such as immutable parameters including histograms. The method includes using a feature algorithm module to generate an analysis result, such as face identification, for the digital media asset based on the raw analyzer results accessed by the identifiers.

Abstract: Described herein is a method for predicting visual texture parameters of a paint having a known paint formulation. The visual texture parameters of the paint are determined using an artificial neural network on the basis of a number of color components used in the known paint formulation. The method includes determining a value of at least one characteristic variable describing at least one optical property using a physical model for the known paint formulation. The method also includes assigning the value to the known paint formulation, and transmitting the value to the artificial neural network as an input signal for determining the visual texture parameters. The value describes the at least one optical property for at least some of the number of color components of the known paint formulation. The method further includes training the neural network using a plurality of color originals each having a respective known paint formulation.

Abstract: Disclosed is a manufacturing method of a sensor by using 3D printing and 3D printer therefor. According to an embodiment of the present disclosure, a manufacturing method of a sensor by using 3D printing includes: forming a first shape having an inner space by using a non-conductive material, and simultaneously or sequentially, forming an electrode at a preset location in the inner space by using a conductive material; injecting conductive liquid into the inner space; and forming a second shape on the first shape by using the non-conductive material to seal the inner space of the first shape.

Abstract: A catalyst-coated support including a sheetlike support, a primer layer applied thereto and composed of nanoparticles composed of silicon oxide-comprising material, and at least one catalyst layer applied to the primer layer. The layers applied are notable for a particularly good adhesive bond strength and can be used particularly efficiently in heterogeneously catalyzed gas phase reactions, especially in microreactors.

Abstract: A method for analyzing media assets such as video and audio files. The method includes providing access to all the frames of a digital media asset. The method includes, with a microprocessor, running a raw analyzer modules to analyze the asset frames to produce sets of raw analyzer result data that are stored in a data cache in a file associated with the asset. The sets of raw analyzer results are linked to the raw analyzer modules with unique identifiers. The digital media asset is played for the raw analyzer modules, which concurrently analyze the temporally-related frames. The raw analyzer results are stored as data tracks that include metadata for the asset such as immutable parameters including histograms. The method includes using a feature algorithm module to generate an analysis result, such as face identification, for the digital media asset based on the raw analyzer results accessed by the identifiers.

Abstract: One exemplary embodiment involves receiving identifications of audio problems in a segment of audio and identifications of corrections for applying to attempt to correct the audio problems, wherein the audio problems were identified by a device applying one or more audio problem detection algorithms to the segment of audio. The exemplary embodiment further involves displaying a user interface comprising representations of the audio problems and representations of the corrections and, in response to receiving a command through the user interface to initiate application of a correction of the corrections, initiating application of the correction.

Abstract: A method for analyzing media assets such as video and audio files. The method includes providing access to all the frames of a digital media asset. The method includes, with a microprocessor, running a raw analyzer modules to analyze the asset frames to produce sets of raw analyzer result data that are stored in a data cache in a file associated with the asset. The sets of raw analyzer results are linked to the raw analyzer modules with unique identifiers. The digital media asset is played for the raw analyzer modules, which concurrently analyze the temporally-related frames. The raw analyzer results are stored as data tracks that include metadata for the asset such as immutable parameters including histograms. The method includes using a feature algorithm module to generate an analysis result, such as face identification, for the digital media asset based on the raw analyzer results accessed by the identifiers.

Abstract: Systems and methods to automatically equalize coloration in speech recordings is provided. In example embodiments, a reference spectral shape based on a reference signal is determined. An estimated spectral shape for an input signal is derived. Using the estimated spectral shape and the reference spectral shape a comparison is performed to determine gain settings. The gain settings comprise a gain value for each filter of a filter system. Using gain values associated with the gain setting, automatic equalization is performed on the input signal.

Abstract: One exemplary embodiment involves receiving identifications of audio problems in a segment of audio and identifications of corrections for applying to attempt to correct the audio problems, wherein the audio problems were identified by a device applying one or more audio problem detection algorithms to the segment of audio. The exemplary embodiment further involves displaying a user interface comprising representations of the audio problems and representations of the corrections and, in response to receiving a command through the user interface to initiate application of a correction of the corrections, initiating application of the correction.

Abstract: A method for analyzing media assets such as video and audio files. The method includes providing access to all the frames of a digital media asset. The method includes, with a microprocessor, running a raw analyzer modules to analyze the asset frames to produce sets of raw analyzer result data that are stored in a data cache in a file associated with the asset. The sets of raw analyzer results are linked to the raw analyzer modules with unique identifiers. The digital media asset is played for the raw analyzer modules, which concurrently analyze the temporally-related frames. The raw analyzer results are stored as data tracks that include metadata for the asset such as immutable parameters including histograms. The method includes using a feature algorithm module to generate an analysis result, such as face identification, for the digital media asset based on the raw analyzer results accessed by the identifiers.

Abstract: A method for performing a plurality of tests on a device under test comprises performing a plurality of tests on a device under test. Each test of the plurality of tests comprises a foreground process and a background process. The foreground process comprises a setup process during which a desired test mode is set. The background process comprises an upload process during which data captured from the device under test is provided. The foreground process is executed with a higher priority than the background process, thereby minimizing a delay between a start of consecutive tests of the device under test.

Abstract: A tester for testing a device under test has a first channel unit and a second channel unit. The first channel unit has a corresponding first pin connection for a signal from a device under test, a corresponding first test processor adapted to process, at least partially, data obtained from the first pin connection, and a corresponding first memory coupled with the first test processor and adapted to store data provided by the first test processor. The first channel unit is adapted to transfer at least a part of the data obtained from the first pin connection to the second channel unit as transfer data. The second channel unit has a corresponding second test processor adapted to process, at least partly, the transfer data from the first channel unit.