Abstract: A method for detecting anomalies in input image data, in particular from a camera, by detecting to what extent the input image data match at least one predefined distribution of image data or deviate from this predefined distribution. In the method: at least one transformation is provided, which maps input image data to data that have been information-reduced with regard to at least one aspect; at least one neural reconstruction network is provided, which is trained to reconstruct original image data from information-reduced data, which were obtained by applying the transformation to original image data from the predefined distribution; the input image data are mapped to information-reduced data by applying the transformation; the information-reduced data are mapped to reconstructed image data using the neural reconstruction network; the reconstructed image data are used to assess to what extent the input image data match or deviate from the predefined distribution.

Abstract: Disclosed is a vortex-induced vibration-based piezoelectricity and friction nanometer power generation combined energy collector. The energy collector includes a support frame, a piezoelectric plate, a cylinder and a solid-liquid type friction nanometer power generation assembly, wherein the support frame includes a fixed plate, a cantilever plate and a connecting plate which are sequentially connected from top to bottom, the piezoelectric plate is fixed on one side of the cantilever plate, the solid-liquid type friction nanometer power generation assembly has an outer shell, an insulating friction inner shell and a sealing part, the outer shell having two symmetrically arranged induction electrodes, insulating layers are arranged between the butt joint faces of the two induction electrodes, the included angles between the butt joint faces of the two induction electrodes and the plane, provided with the piezoelectric plate, of the cantilever plate are not 90°.

Abstract: In an aspect for generating a 2-dimensional (2D) building mapping, a computer-implemented method may include one or more processors configured for receiving scanning data in a first file format corresponding to 3-dimensional (3D) aerial Light Detection and Ranging (LiDaR) images. Further, the method may include transforming the first file format to a second file format and transmitting the scanning data to a building semantic segmentation component. Further, the computer-implemented method may include generating semantic segmentation data corresponding to building structures defined by point clusters; generating instance segmentation data corresponding to top surfaces of the building structures; generating building boundary data for each one of the point clusters based on one or more of the semantic segmentation data and the instance segmentation data; and processing the building boundary data to generate a 2D building mapping comprising refined boundary lines for each of the point clusters.

Abstract: Disclosed are techniques for positioning. A receiver receives complementary timing information associated with the positioning reference signals (PRS) of a repetition of a PRS sequence. The complementary timing information distinguishes a repetition of a PRS sequence from remaining repetitions of the PRS sequence. Based on the complementary timing information associated with different PRS from different non-terrestrial vehicles indicating that the PRS were transmitted during the same radio frame, the receiver can determine an observed time difference of arrival (OTDOA) between the PRS received from the respective non-terrestrial vehicles.

Abstract: Satellites in a non-terrestrial network may provide positioning reference signals (PRS) to user equipment (UE), with which the UE may determine its position using propagation delay difference measurements, such as Time Difference of Arrival (TDOA) measurement. Due to the large distances between satellites and the UE, the propagation delay differences in the PRS received from satellites may exceed half a radio frame, resulting in a frame level timing ambiguity in the differential measurements. The satellites transmit secondary PRS, along with primary PRS, that include timing information to resolve frame level timing ambiguity of the primary PRS. The positioning occasions in the secondary PRS, for example, may be aligned with corresponding positioning occasions primary PRS within each radio frame, and are transmitted with a periodicity that is an integer multiple (greater than 1) of that of the primary PRS to resolve the frame level timing ambiguity of the primary PRS.

Abstract: An information processing method includes, in a situation that a connection between a first electronic device and a second electronic device is established for first time, obtaining identity information of the second electronic device; obtaining a communication protocol corresponding to the identity information; and based on a data path formed after the first electronic device is connected to the second electronic device, sending the communication protocol to the second electronic device, to enable the second electronic device to communicate with the first electronic device based on the communication protocol.

Abstract: Embodiments of the invention are directed to automatically capturing user interface screenshots for use in documentation of a software product. Aspects include identifying a user interface window of the software product and creating a degree-of-completion graph for the user interface window. Aspects also include capturing a plurality of screenshots of the user interface window during use of the software product and calculating a degree-of-completion percentage for each of the plurality of screenshots. Aspects further include identifying a subset of the plurality of screenshots to be included in the software product documentation based on the degree-of-completion percentage.

Abstract: A generative adversarial network. The generative adversarial network includes: a generator configured for generating an image and a corresponding label map; a discriminator configured for determining a classification of a provided image and a provided label map, wherein the classification characterizes whether the provided image and the provided label map have been generated by the generator or not and determining the classification comprises the steps of: determining a first feature map of the provided image; masking the first feature map according to the provided label map thereby determining a masked feature map; globally pooling the masked feature map thereby determining a feature representation of the provided image masked by the provided label map; determining a classification of the image based on the feature representation.

Abstract: Disclosed are techniques for positioning. A receiver measures a time of arrival (ToA) of a positioning reference signal (PRS) transmission of a first PRS sequence transmitted by a first transmitter, measures a ToA of a PRS transmission of a second PRS sequence transmitted by a second transmitter, and determines an observed time difference of arrival (OTDOA) as a difference between the ToA of the PRS transmission of the first PRS sequence and the ToA of the PRS transmission of the second PRS sequence, wherein the OTDOA is less than half a maximum differential delay expected between the PRS transmission of the first PRS sequence and the PRS transmission of the second PRS sequence, and wherein a repetition duration of the first PRS sequence and the second PRS sequence is greater than 10 milliseconds (ms) and at least twice the maximum differential delay.

Abstract: A non-terrestrial network is provided that includes a satellite that transmits an orbital parameter message to a user equipment. The user equipment processes the orbital parameter message to determine a current range from the user equipment to the satellite based upon the received orbital parameter message, a timing offset and a frequency offset for an uplink transmission to the satellite.

Abstract: Technology for inspection for detecting a defect of a printed matter using machine logic informed by machine learning. Some embodiments of the present invention may include one, or more, of the following features: (i) generates defect datasets; (ii) generates defect libraries; (iii) uses the generated defect libraries for deep learning training; and (iv) uses machine learning to detect defects using computer code (for example, a *.jpg format file) corresponding to an image of a piece of printed matter instead of using a visual image (that is, an image of the type that is created when a person takes a picture using a traditional film camera).

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a physical uplink shared channel (PUSCH) message associated with a random access channel (RACH) procedure to a non-terrestrial network node. The UE may monitor a physical downlink control channel (PDCCH) for a contention resolution message associated with the RACH procedure during a contention resolution window. In some aspects, the UE may start to monitor the PDCCH a variable time period after the PUSCH message is transmitted. Numerous other aspects are provided.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a base station (BS) may map a plurality of resource elements from an orthogonal frequency division multiplexing (OFDM) resource structure to respective time-domain samples of a plurality of time-domain samples included in a single-carrier resource structure. The BS may transmit the plurality of time-domain samples to a user equipment (UE). Numerous other aspects are provided.

Abstract: Computer automated interactive activity recognition based on keypoint detection includes retrieving, by one or more processors, a temporal sequence of image frames from a video recording. The one or more processors identify first and second keypoints in each of the image frames in the temporal sequence using machine learning techniques. The first keypoints are associated with an object in the temporal sequence of image frames while the second keypoints are associated with an individual interacting with the object. The one or more processors combine the first keypoints with the second keypoints and extract spatial-temporal features from the combination that are used to train a classification model based on which interactive activities can be recognized.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive information that indicates whether to perform a first random access channel (RACH) procedure for a non-terrestrial network or a second RACH procedure for a terrestrial network, wherein the first RACH procedure is configured to support a larger number of UEs contemporaneously performing a RACH procedure than the second RACH procedure. Responsive to the information indicating that the UE is to perform the first RACH procedure, the UE may perform the first RACH procedure. Numerous other aspects are provided.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of a configuration to perform cooperative radar sensing. The configuration may indicate resources for the first UE to use to communicate radar measurement reports. The UE may receive, from another UE on the identified resources, a radar measurement report that includes values for one or more radar measurement parameters for a first radar target and a time stamp associated with the values. The UE may identify a second set of values for the radar measurement parameters (e.g., its own measurements, or measurements received from a third UE in another radar measurement reports). The UE may generate a combined set of values for the radar measurement parameters for each time stamp by combining the first set of values and the second set of values.

Abstract: The present disclosure discloses a method for identifying a M1 generation plant mutant resulting from physical and chemical mutagenesis, a method for acquiring the plant mutant, a mutant gene, and use thereof. The method for identifying a M1 generation plant mutant resulting from physical and chemical mutagenesis includes: mutagenizing a plant to obtain an M1 generation plant mutant, extracting a mixed pool of DNA from the obtained M1 generation plant mutant, subjecting the mixed pool of DNA to high-depth targeted sequencing for a target gene region, and aligning a sequencing result with the target gene region to identify whether there are target single nucleotide polymorphisms (SNPs) and/or Indel. The method of the present disclosure has high efficiency and high accuracy, involves simple operations, and is of progressive significance for the identification and acquisition of innovative germplasms.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE), such as a vehicle that is enabled with radar detection and ranging, may include multiple radars or radar components and may receive, at a first radar, a first radar waveform in a field of view (FOV) associated with the first radar. The UE may determine a trajectory of the target object which may indicate the target object entering a FOV of a second radar. The UE may receive, at the second radar, a second radar waveform in the FOV of the second radar and may associate the second radar waveform with the target object based on the trajectory of the target object and the second radar waveform being in the FOV of the second radar.

Abstract: Methods, systems, and devices for wireless communications are described. Generally, a user equipment (UE) (e.g., a vehicle) may determine a configuration, including an offset value for the radar waveform, for transmitting a radar waveform for multiple radar transmitters. The UE may transmit, according to the identified configuration, a first instance of the radar waveform with a first radar transmitter. The UE may also transmit a second instance of the radar waveform with a second radar transmitter. The second instance of the radar waveform may be offset from the first instance of the radar waveform by the offset value. The Offset value may be a time offset, a frequency offset, or both. The UE may identify at least one object, and may filter our interference between the first instance of the radar waveform and the second instance of the radar waveform based on the offset.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may communicate with a base station by initiating a random access procedure with a two-root preamble. The UE may receive, from the base station, control signaling that indicates a set of root preamble sequences. The UE may transmit, to the base station, a preamble signal that is generated based on a first root preamble sequence and a second root preamble sequence of the set of root preamble sequences. The UE may then monitor for a preamble response based on the preamble signal. In some cases, the base station may be a base station in a terrestrial network. In other cases, the base station may be a satellite in a non-terrestrial network (NTN).