Abstract: The method includes indentifying the beer keg to a brewery which fills the keg and for identifying the date on which the beer keg is filled. A sensor system is attachable to or built into the beer keg for identifying the temperature of the beer and for locating the keg. A communication system directly transmits information between the brewery and the sensor system on the keg.

Abstract: Embodiments generally relate to action detection in a video based on image analysis. In some embodiments, a method includes obtaining a plurality of images associated with an activity between a first object and a second object. The method further includes performing image analysis on the plurality of images to identify one or more portions of the first object and one or more portions of the second object. The method further includes, based on the image analysis, detecting at least one interaction between a given portion of the first object with a given portion of the second object in one or more images of the plurality of images. The method further includes, based on one or more positions of the given portion of the first object and the given portion of the second object in the one or more images of the plurality of images, determining one or more characteristics of the interaction.

Abstract: The object of the present invention is to assess the driving aptitude of a target person. Provided is a driving aptitude assessment apparatus 200 including: functional impairment degree assessment means configured to assess the degree of functional impairment of a brain of a target person on the basis of test result information indicating a result of a neuropsychological test administered to the target person and head image data obtained by tomography of a head of the target person; and driving aptitude assessment means configured to assess the driving aptitude of the target person on the basis of an assessment result by the functional impairment degree assessment means.

Abstract: A split radio access network is provided that efficiently transmits beamforming coefficients from a distributed baseband unit device to a remote radio unit device to facilitate beamforming at the remote radio unit. The beamforming coefficients can be determined at the baseband unit device and transmitted along with the IQ data (data to be beamformed) to the remote radio unit device. Due to the large number of antenna ports however, there can still be a very large number of coefficients to transmit, and the disclosure provides for a compressed set of coefficients that reduces the overhead signaling requirements. Instead of sending coefficients for every kth antenna port, the system can select a subset of the coefficients corresponding to a set of k antenna ports which can be used by the remote radio unit to approximate the full set of beamforming coefficients.

Abstract: Techniques related to demosaicing for digital image processing are discussed. Such techniques include correcting defective pixels by detecting hot and warm pixels and correcting such detected hot and warm pixels based on neighboring pixels and angle compensation including detecting dominant angles and compensating for such detected angles during demosaicing.

Abstract: A method for categorizing a fracture surface of a component. A digital image of the fracture surface is generated. The digital image or one or more segments of the digital image is/are analyzed, wherein a category of a fracture pattern is assigned to one or more regions of the digital image or of one or more segments based on detection and statistical evaluation of spatial distribution of the smallest homogeneous image units (pixels) or image elements, and, provided that multiple regions and/or multiple segments of the digital image were analyzed, information about the regions and/or details of the digital image and categories of fracture patterns determined and assigned to them are linked to each other, and a category is assigned to the fracture surface based on this link. The method permits automatic, self-learning-categorization of fracture surfaces, for example for series tests carried out for joining technologies.

Abstract: A computer system for acquiring a control command. The system includes one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors, configure the one or more processors to perform particular steps. The steps include: receiving, at an electroencephalogram (EEG) receiver, baseline EEG data; and acquiring, using a normalisation module, one or more normalisation factors from the baseline EEG data. The steps further include: receiving, at the EEG receiver, stimulated EEG data sensed by one or more EEG sensors; and correlating the stimulated EEG data across the one or more EEG sensors, using a correlation module, to generate one or more correlation coefficients corresponding to one or more stimulation frequencies, each of the one or more stimulation frequencies corresponding to a respective candidate control command.

Abstract: Techniques for transmitting vehicle information messages among a plurality of vehicles are disclosed. In an aspect, a transceiver of a vehicle transmits a first set of vehicle information messages over a wireless medium at a first periodic rate, the first set of vehicle information messages including information related to the vehicle. One or more sensors of the vehicle detect an event related to operation of the vehicle. A processor of the vehicle generates a second set of vehicle information messages each including an event flag and information about the event, the event flag indicating that the second set of vehicle information messages is reporting the event. The transceiver of the vehicle transmits a first vehicle safety message of the second set of vehicle information messages over the wireless medium as soon as the first vehicle safety message is generated.

Abstract: To appropriately perform blotting out processing for a portion that a user intends to prevent from being displayed for an electronic document having text information on a character string for search, along with image information. The information processing apparatus according to the present invention, in a case where the electronic document is an electronic document in a format searchable for a character string and where a character string obtained by performing OCR processing for a character image object existing in an area and a character string of an invisible text object existing in the area do not match with each other, a setting unit performs re-setting of an area to which blotting out processing is applied for at least one of the character image object and the invisible text object so that both the character strings match with each other.

Abstract: Systems and methods for converting video information into electronic output files are disclosed. Exemplary implementations may: obtain video information defining one or more videos; select a subset of the visual content included in the video content of the particular video; perform object detection to detect objects in the selected subset; perform motion detection to detect a movement for one or more of the detected objects in the selected subset, responsive to the object detection detecting one or more detected objects; and generate and store an electronic output file, responsive to the detection of the movement.

Abstract: An absolute position encoder includes a position location medium containing position identifier code words providing absolute position indications, and an optical source, an optical detector, an optics subsystem and a code word decoder. The optics subsystem focuses a source beam onto the position location medium and directs a return beam to the optical detector, detects a focus condition from the return beam, and automatically adjusts focus of the source beam to maintain a predetermined focus condition during operation. The code word decoder responds to the detector signal to detect a code word and generate a decoder output indicative of a corresponding code word value and corresponding detected position.

Abstract: A converter can process image data from input HDR images in real time to compute new metadata about the brightness, contrast, color gamut and/or color volume for the image data to be displayed from each frame. Existing metadata can be ignored. The converter can combine the metadata for a current HDR frame with metadata for a plurality of immediately previous sequential frames to provide parameters for tone mapping. The converter uses these parameters, and characteristics about a lower dynamic range display which will receive output image data, to define a transfer function for converting the input HDR image data into output image data for display. The converter analyzes and tone maps HDR frames at a rate sufficient to allow output video to be generated at a desired frame rate while receiving the image data from frames of the input HDR video at an input frame rate.

Abstract: A retimer is provided. The retimer includes: a data channel circuit, configured to implement, under a function of a current phase locked loop, equalization processing-based transparent transmission of a signal between a first communications device and a second communications device; and the link adjustment circuit, configured to: when determining, based on link status information of the data channel circuit, that a rate of a link needs to be changed, configure an operating parameter of a target phase locked loop as an operating parameter corresponding to a changed rate; and switch the currently used phase locked loop to the target phase locked loop when detecting that the link enters a rate-changing state, where the data channel circuit is further configured to implement, under a function of the target phase locked loop, the transparent transmission of a signal between the first communications device and the second communications device.

Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a pair of synthetic stereo images and a corresponding synthetic depth map with an image synthesis engine wherein the synthetic stereo images correspond to real stereo images acquired by a stereo camera and the synthetic depth map is a three-dimensional (3D) map corresponding to a 3D scene viewed by the stereo camera and process each image of the pair of synthetic stereo images pair independently using a generative adversarial network (GAN) to generate a fake image, wherein the fake image corresponds to one of the synthetic stereo images.

Abstract: A position measuring apparatus includes an imaging device and a controller, and is mounted on one or more mobile objects and configured to measure a position of a target. The imaging device is configured to acquire images of the target from a plurality of locations that are different from each other. The controller is configured to measure, on the basis of the images of the target, one or both of orientations of the target as viewed from the respective locations and distances to the target from the respective locations, correct one of the measured orientations of the target and the measured distances to the target to thereby reduce a difference between times at which the respective images are acquired at the respective locations, and calculate an estimated position of the target, on a basis of one of the corrected orientations of the target and the corrected distances to the target.

Abstract: The present disclosure relates to an electronic device, a method, and a storage medium for a wireless communication system. Various embodiments regarding beam pair selection are described. In one embodiment, an electronic device for a wireless communication system can comprise a processing circuitry configured to determine K beam pairs in a communication link between a first communication apparatus and a second communication apparatus for a wireless communication system, where K is a natural number, and each beam pair comprises a transmitting beam and a receiving beam; and calculate a beam gain gradient for each beam pair, wherein the beam gain gradient indicates a spatial gain variation of a respective beam pair.

Abstract: The present disclosure relates to a testing device and techniques of testing semiconductor structures and, more particularly, to an absolute phase measurement testing device and technique of testing semiconductor structures. The structure includes: a first frequency input source which provides a first signal to an up-converter at an input side of a test fixture; a down-converter on an output side of the test fixture; a second frequency signal source which provides a second signal at a higher frequency than the first signal to the up-converter and the down-converter on the output side of the test fixture; a bypass path which bypasses the test fixture and provides connection between the up-converter and the down-converter; and a digitizer that is connected to an output side of the down-converter.

Abstract: Embodiments described herein relate generally to a methodology of efficient object classification within a visual medium. The methodology utilizes a first neural network to perform an attention based object localization within a visual medium to generate a visual mask. The visual mask is applied to the visual medium to generate a masked visual medium. The masked visual medium may be then fed into a second neural network to detect and classify objects within the visual medium.

Abstract: Systems and methods generate a segmentation network for image segmentation using global optimization. A method for automatic generation of at least one segmentation network includes providing an initial set of hyperparameters to construct a segmentation network. The hyperparameters define operations for a set of block structures and connections between the block structures. The segmentation network is trained using a first set of images with ground truth. An objective function value for the trained segmentation network is generated using a second set of images having ground truth. Generating the objective function includes setting the objective function to a predetermined value responsive to identifying an untrainable condition of the trained initial segmentation network. The set of hyperparameters is updated by performing an optimization algorithm on the objective function value to construct an updated segmentation network.

Abstract: Systems and methods for movement detection are provided. In one example embodiment, a computer-implemented method includes obtaining image data and range data representing a scene external to an autonomous vehicle, the image data including at least a first image and a second image that depict the scene. The method includes identifying a set of corresponding image features from the image data, the set of corresponding image features including a first feature in the first image having a correspondence with a second feature in the second image. The method includes determining a respective distance for each of the first feature and the second feature based at least in part on the range data. The method includes determining a velocity associated with a portion of a scene represented by the set of corresponding image features based at least in part on the respective distance for the first feature and the second feature.