Abstract: Aspects of the present disclosure relate to wireless communication. In some aspects, a user equipment may determine at least one of: a first number of coefficients to be included in a first set of coefficients in a transfer domain that characterize compressed channel state information (CSI) for a first layer, or a first quantization scheme to be used to interpret the first set of coefficients. The UE may determine at least one of: a second number of coefficients to be included in a second set of coefficients in the transfer domain that characterize the compressed CSI for a second layer, or a second quantization scheme to be used to interpret the second set of coefficients. The UE may transmit a report that identifies the first set of coefficients and the second set of coefficients based at least in part on the determination(s). Other aspects are provided.

Abstract: Disclosed are a flow battery degassing device, a degassing method, a system, and a storage medium. The flow battery includes a liquid tank. The flow battery degassing device includes a degassing tank, a degassing pump, a liquid outlet pipe, and a liquid inlet pipe. The liquid outlet pipe is configured to enable an electrolyte in the liquid tank to flow into the degassing tank. The liquid inlet pipe is configured to enable the electrolyte in the degassing tank to flow into the liquid tank. The degassing pump is provided on the liquid inlet pipe and configured to form a vacuum environment in the degassing tank.

Abstract: The present invention relates to a subway vehicle electronic record system based on blockchain technology, which mainly includes business view module, record information maintenance module, statistical analysis module, record information management module, system management module, and blockchain foundation platform. The invention comprehensively makes use of blockchain, database and other technologies to normalize heterogeneous data of subway vehicle record.

Abstract: Certain aspects of the present disclosure provide techniques for channel estimation based on transmission spatial information. An example method of wireless communication by a user equipment includes receiving an indication of transmission spatial information associated with a network entity; receiving a reference signal from the network entity based on the transmission spatial information; and transmitting, to the network entity, channel state information (CSI) based on the received reference signal and the transmission spatial information.

Abstract: Certain aspects of the present disclosure provide techniques for wireless communications by an apparatus. A method includes sending signaling indicative of one or more power ratios, wherein each of the one or more power ratios is based on a transmit power for transmitting sounding reference signal (SRS) using a corresponding antenna and a receive power for receiving channel state information reference signal (CSI-RS) using the corresponding antenna, and wherein the one or more power ratios are associated with one or more antennas; sending a first CSI-RS; receiving a first SRS; receiving first channel state feedback (CSF) corresponding to the CSI-RS; and performing channel estimation based on the first CSF and the first SRS.

Abstract: A method for training a non-autoregressive TTS model includes obtaining a sequence representation of an encoded text sequence concatenated with a variational embedding. The method also includes using a duration model network to predict a phoneme duration for each phoneme represented by the encoded text sequence. Based on the predicted phoneme durations, the method also includes learning an interval representation and an auxiliary attention context representation. The method also includes upsampling, using the interval representation and the auxiliary attention context representation, the sequence representation into an upsampled output specifying a number of frames. The method also includes generating, based on the upsampled output, one or more predicted mel-frequency spectrogram sequences for the encoded text sequence.

Abstract: The present invention relates to an improved process of treating crop kernels to provide a starch product of high quality suitable for conversion of starch into mono- and oligosaccharides, ethanol, sweeteners, etc. The present invention also relates to polypeptides having GH10 xylanase activity and polypeptides having GH62 arabinofuranosidase activity. Further, the present invention also relates to a process for extraction or separation of crude palm oil.

Abstract: A method includes receiving audio features and generating a latent speech representation based on the audio features. The method also includes generating a target quantized vector token and a target token index for a corresponding latent speech representation. The method also includes generating a contrastive context vector for a corresponding unmasked or masked latent speech representation and deriving a contrastive self-supervised loss based on the corresponding contrastive context vector and the corresponding target quantized vector token. The method also include generating a high-level context vector based on the contrastive context vector and, for each high-level context vector, learning to predict the target token index at the corresponding time step using a cross-entropy loss based on the target token index.

Abstract: A method includes receiving training data that includes unspoken text utterances and un-transcribed non-synthetic speech utterances. Each unspoken text utterance is not paired with any corresponding spoken utterance of non-synthetic speech. Each un-transcribed non-synthetic speech utterance is not paired with a corresponding transcription. The method also includes generating a corresponding synthetic speech representation for each unspoken textual utterance of the received training data using a text-to-speech model. The method also includes pre-training an audio encoder on the synthetic speech representations generated for the unspoken textual utterances and the un-transcribed non-synthetic speech utterances to teach the audio encoder to jointly learn shared speech and text representations.

Abstract: Methods, systems, and devices for wireless communications are described for enabling a network equipment to reduce interference for downlink (DL) transmissions to a first device by determining a transmit precoding matrix indicator (TPMI) for uplink (UL) transmissions transmitted by a second device based on feedback from the first device. The first device may determine a subset of possible TPMIs that the second device may use for UL transmissions for full-duplex communications. The first device may indicate the subset to the network equipment. Based on the subset indicated by the first device, the network equipment may determine a pairing of the first device and the second device for full-duplex communications. Additionally, the network equipment may determine a TPMI for the second device to use in UL transmissions and indicate the TPMI to the second device.

Abstract: In various examples, feature location identification for autonomous and semi-autonomous systems and applications is described herein. Systems and methods are disclosed that use LiDAR data to determine locations of road markings within an environment. For instance, the LiDAR data may be used to generate one or more images, such as a top-down image, birds-eye-view (BEV) image, and/or an intensity image, representing the environment. The image(s) may then be processed using one or more machine learning models that are configured to determine information associated with the road markings, such as bounding shapes (e.g., bounding boxes) indicating the locations of the road markings within the image(s), classifications associated with the road markings (e.g., the types of road markings), and/or any other information. The information may then be used to perform one or more processes, such as updating a map of the environment and/or navigating a vehicle within the environment.

Abstract: Aspects relate to configuring active groups of antenna ports. An apparatus may support different groups of antenna ports. One or more of these groups may be designated as active (e.g., for a scheduled transmission). In some examples, a first apparatus may send to a second apparatus an indication of the active groups. The second apparatus may then use the active groups for a transmission.

Abstract: Methods, systems, and devices for wireless communications are described. A base station may transmit a channel state information (CSI) reference signal (CSI-RS) to a user equipment (UE) using heterogenous antenna panels, where a first antenna panel used to transmit the CSI-RS may have a different number of antenna ports than a second antenna panel used to transmit the CSI-RS. The UE may generate a codebook to report CSI based on the heterogenous antenna panels. In some cases, the UE may report compressed CSI if the antenna panels are in close proximity together.

Abstract: The present application relates to an Informer-based autonomous satellite positioning accuracy prediction method and apparatus. The method includes: collecting satellite observation data of a train within a given operational section, there being an area where satellite signals are blocked within the given operational section, where the satellite observation data is satellite observation data collected by the train on the given operational section via a satellite positioning receiver; according to the satellite observation data on the given operational section, obtaining a prediction data set based on an effective value range of a preset three-dimensional position accuracy factor; and based on a preset accuracy prediction model, outputting an autonomous satellite positioning accuracy predictive value by taking the prediction data set as an input.

Abstract: A bridge switching converter has a transformer, a primary switching circuit having a first switch and a second switch, and a controller. A first bridge terminal is coupled to a first terminal of a primary winding of the transformer, and a second bridge terminal is coupled to a second terminal of the primary winding. A center-tap of a secondary winding of the transformer is coupled to the second input terminal of the primary switching circuit. The second switch is coupled between the first bridge terminal and an output node, and the first switch is coupled between an input node and the first bridge terminal. When the first switch remains off, the controller turns on the second switch based on the output voltage, and when the second switch remains off, the controller turns on the first switch based on the output voltage.

Abstract: A method includes obtaining training data including a plurality of training audio signals and corresponding transcripts. Each training audio signal is spoken by a target speaker in a first accent/dialect. For each training audio signal of the training data, the method includes generating a training synthesized speech representation spoken by the target speaker in a second accent/dialect different than the first accent/dialect and training a text-to-speech (TTS) system based on the corresponding transcript and the training synthesized speech representation. The method also includes receiving an input text utterance to be synthesized into speech in the second accent/dialect. The method also includes obtaining conditioning inputs that include a speaker embedding and an accent/dialect identifier that identifies the second accent/dialect.

Abstract: In various examples, multimodal image data may be used to generate a set of top-down tile images, which are applied to a deep neural network generator architecture model to produce lane marking-specific heatmap images corresponding to the set of top-down tile images. The multimodal sensor data may include LIDAR-captured intensity channel data, LIDAR-captured feature height channel data, and optical color image channel data. The set of top-down tile images may be processed by the generator model to automatically detect lane boundaries and navigation boundaries to generate pixel-level heatmap images that may classify lane markings by marking characteristics such as line type and/or color. The generator model may comprise an encoder-decoder architecture, with multiscale feature extraction and/or context extraction functional layers intervening between the encoder model and the decoder model.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiving user equipment (UE) may transmit a first measurement that is based at least in part on a first reference signal, from a base station, that is to be reflected via a passive device. The receiving UE may transmit a second measurement that is based at least in part on a second reference signal, from a transmitting UE, that is to be reflected via the passive device and a third reference signal from the transmitting UE. Numerous other aspects are described.

Abstract: There are proposed methods, devices, and computer program products for extending a feature space of a data sample. In the method, a global representation is obtained for a feature in a plurality of features of the data sample. A local representation is obtained for the feature based on a classifying criterion for classifying the data sample into one of a plurality of predefined domains. A representation is generated for the feature of the data sample based on the global representation and the local representation. With these implementations, an exclusive feature space may be created for each domain identified by the classifying criterion, which is dedicated to capturing domain-specific knowledge and characteristics.