Abstract: Embodiments of the present disclosure provide a method, an apparatus, a device and a storage medium for data request processing. The method is applied at a filesystem in userspace which includes a kernel module and a userspace process. The method includes: obtaining a data request list in the kernel module, where the data request list includes a plurality of data requests to be processed and virtual address information corresponding to respective data requests of the plurality of data requests; querying, for each of the data requests, physical address information corresponding to the virtual address information, according to the virtual address information corresponding to the data request; querying target cached data corresponding to the data request, from a plurality of cached data stored in the kernel module; accessing the target cached data, and processing the data request.

Abstract: Embodiments of the present disclosure provide a method, apparatus, device and storage medium for data processing. If a kernel module sends a data calling request to a userspace process, first modification time information and second modification time information of data corresponding to the data calling request are obtained by the userspace process. The first and second modification time information are used to indicate modification time information of the data in the kernel module and in a file service end, respectively. The first and second modification time information are compared by the userspace process. If the first and second modification time information are inconsistent, a verification invalidation result is returned to the kernel module. The data in the kernel module is invalidated by the kernel module according to the verification invalidation result. The data in the file service is synchronized by the userspace process to the kernel module.

Abstract: An Automated Guided Vehicle (AGV) scheduling method based on a narrow alley, electronic equipment and a storage medium are provided, and the method includes: through an AGV scheduling system, receiving a message that a to-be-driven-in AGV arrives at a driving-in platform, obtaining job information of each AGV in the narrow alley at the current moment, and determining whether the to-be-driven-in AGV can enter the narrow alley for performing the job fully according to the number of the AGVs in the narrow alley at the current moment, the job information and a loading/unloading position where the to-be-driven-in AGV will perform the job, so as to achieve concurrent collaborative job of the AGVs as many as possible in a confined workspace by making use of fragmented time and every bit of time, to form an efficient and flexible distribution solution, and to further achieve intelligent scheduling of the AGVs.

Abstract: A method of interfacing a discrete digital workshop information system is provided, where the information system includes mutual integration among product lifecycle management (PLM), enterprise resource planning (ERP), a manufacturing execution system (MES), an energy management system (EMS), and a warehouse management system (WMS) of a finished product. A method of interfacing based on a data dictionary fusing different function datasets is proposed to solve the problems of a current discrete industry information system, such as single in function, a small amount of integrated information, a large number of “information islands” existing, incapable of achieving full-process informatization management and control, difficulty in product quality tracing and the like. By the method, it is possible to realize flexible production in a discrete manufacturing industry, precise management and control of a production process, significant improvement in product quality and significant reduction in operating costs.

Abstract: A fracturing apparatus includes a motor, a first plunger pump, a power supply platform, a gas turbine engine, a generator, and one or more rectifiers. At least two of the gas turbine engine, the generator, and the one or more rectifiers are arranged on the power supply platform. A first end of the generator is connected to the gas turbine engine. A second end of the generator is connected to the one or more rectifiers. The generator is configured to output a voltage to the one or more rectifiers. The one or more rectifiers are configured to provide power to the motor. The motor is configured to drive the first plunger pump.

Abstract: A laundry treatment apparatus in the present application includes a laundry treatment barrel and a light plasma generation unit having an air chamber. The air chamber is internally provided with a photoplasma tube for irradiating air in the air chamber. An air inlet of the air chamber is in communication with the external air; and an air outlet of the air chamber is in communication with an interior of the laundry treatment barrel via an air outlet pipeline. In the present application, the external air in the air chamber irradiated by the photoplasma tube is generated a sterilizing gas which is blown into the laundry treatment barrel via the air outlet pipeline, thereby sterilizing and deodorizing the interior of the laundry treatment barrel and laundry inside to completely kill microorganisms and efficiently remove unpleasant odors, especially a sterilizing effect is better for laundry being no-resistant to high temperature.

Abstract: A laundry lifting device for a washing machine includes a body with an accommodating chamber, a water inlet arranged in the body and communicated with the accommodating chamber, and a centrifugal drainage assembly arranged in the accommodating chamber. The centrifugal drainage assembly includes a sealing plunger capable of doing reciprocating motion and an elastic piece for elastically resetting the sealing plunger, the body is provided with a plunger base for installing the sealing plunger, and the elastic piece is kept limited in the plunger base in the reciprocating motion process of the sealing plunger. The elastic piece is installed in the plunger base in the sealing mode, and the elastic piece is kept limited in the plunger base in the reciprocating motion of the sealing plunger. So thread scraps are prevented from being hung on the elastic piece.

Abstract: A vehicle control method includes obtaining sensor information of different modalities of different onboard devices of a vehicle, performing modality transformation on the sensor information to generate short-cycle message information of a unified modality, sending the short-cycle message information to a first data model at a remote end, generating long-cycle message information by a second data model configured at the vehicle based on the sensor information with the different modalities, sending the long-cycle message information to the first data model at the remote end, receiving the vehicle control information returned by the first data model at the remote end, and controlling the vehicle based on the vehicle control information. The short-cycle message information has better real-time performance than the long-cycle message information, and the long-cycle message information is used to trigger the first data model to generate vehicle control information.

Abstract: The present invention discloses an interactive behavior understanding method for posture reconstruction based on skeleton and image features. The steps are as follows: constructing and preprocessing the data set, extracting skeleton and image features, fusing and reconstructing these features, and conducting experimental evaluation and validation. This method retains the purity of skeleton features for human behavior information extraction and uses image features to retain effective environmental information, complementing the model feature information. Skeleton features are extracted using a graph convolution network, enhancing the relevance of input skeleton point information for accurate feature extraction. Effective image features are quickly and accurately extracted through the Vision Transformer network combined with a multi-head attention mechanism.

Abstract: The present invention provides a DNA-targeting RNA comprising a single-guide RNA (sgRNA) and a ribonucleotide sequence rich in adenine ribonucleotide, and its use in gene editing, and a method for improving the efficiency of sgRNA-mediated gene editing, comprising a step of adding a ribonucleotide sequence rich in adenine ribonucleotide at 3? end of the sgRNA.

Abstract: Disclosed is a boronic acid derivative. Provided are a compound of formula (I) or a pharmaceutically acceptable salt, solvate, polymorph or isomer thereof, a pharmaceutical composition containing the same, and the use thereof in the treatment of lmp7-related diseases.

Abstract: Systems and methods are provided for generating a lightweight, high-quality streaming text-to-speech (TTS) system. For example, some disclosed systems are configured to obtain a first model comprising one or more layers of a convolutional neural network. Each layer of the convolutional neural network is configured to generate a new output from a previous input. The systems also obtain a second model comprising a recurrent neural network. Subsequent to obtaining the first model and the second model, the systems are configured to compile the one or more layers of the convolutional neural network and the recurrent neural network in a parallel architecture to generate a machine learning module such that each model of the machine learning module is configured to receive input simultaneously.

Abstract: Automatic generation of intelligent content is created using a system of computers including a user device and a cloud-based component that processes the user information. The system performs a process that includes receiving an input document and parsing the input document to generate inputs for a natural language generation model using a text analysis model. The natural language generation model generates one or more candidate presentation scripts based on the inputs. A presentation script is selected from the candidate presentation scripts and displayed. A text-to-speech model may be used to generate a synthesized audio presentation of the presentation script. A final presentation may be generated that includes a visual display of the input document and the corresponding audio presentation in sync with the visual display.

Abstract: According to implementations of the subject matter described herein, a solution is proposed for text to speech. In this solution, an initial phoneme sequence corresponding to text is generated, the initial phoneme sequence comprising feature representations of a plurality of phonemes. A first phoneme sequence is generated by inserting a feature representation of an additional phoneme into the initial phoneme sequence, the additional phoneme being related to a characteristic of spontaneous speech. The duration of a phoneme among the plurality of phonemes and the additional phoneme is determined by using an expert model corresponding to the phoneme, and a second phoneme sequence is generated based on the first phoneme sequence. Spontaneous-style speech corresponding to the text is determined based on the second phoneme sequence. In this way, spontaneous-style speech with more varying rhythms can be generated based on spontaneous-style additional phonemes and multiple expert models.

Abstract: Automatic generation of intelligent content is created using a system of computers including a user device and a cloud-based component that processes the user information. The system performs a process that includes receiving an input document and parsing the input document to generate inputs for a natural language generation model using a text analysis model. The natural language generation model generates one or more candidate presentation scripts based on the inputs. A presentation script is selected from the candidate presentation scripts and displayed. A text-to-speech model may be used to generate a synthesized audio presentation of the presentation script. A final presentation may be generated that includes a visual display of the input document and the corresponding audio presentation in sync with the visual display.

Abstract: An improved, efficient method for mapping world points from an environment (e.g., points generated by a LIDAR sensor of an autonomous vehicle) to locations (e.g., pixels) within rolling-shutter images taken of the environment is provided. This improved method allows for accurate localization of the world point in a rolling-shutter image via an iterative process that converges in very few iterations. The method poses the localization process as an iterative process for determining the time, within the rolling-shutter exposure period of the image, at which the world point was imaged by the camera. The method reduces the number of times the world point is projected into the normalized space of the camera image, often converging in three or fewer iterations.

Abstract: Systems and methods for extrinsic calibration of vehicle-mounted sensors are provided. One example method involves obtaining first sensor data collected by a first sensor and a second sensor while a vehicle is aligned in a first yaw direction. The method also involves obtaining second sensor data collected by the first sensor and the second sensor while the vehicle is aligned in a second yaw direction. The method also involves determining, based on the first sensor data and the second sensor data, (i) first pitch and roll misalignments of the first sensor relative to the vehicle and (ii) second pitch and roll misalignments of the second sensor relative to the first sensor. The method also involves determining third pitch and roll misalignments of the second sensor relative to the vehicle based on (i) the first pitch and roll misalignments and (ii) the second pitch and roll misalignments.

Abstract: A method and system for enhancing pronunciation during a speech, the method including receiving audio data, the audio data including a speech, performing at least one of acoustic scoring and language scoring on the speech, determining a pronunciation score of one or more words of the speech based on the acoustic scoring and the language scoring, determining that the pronunciation score for the word does not satisfy a threshold score, responsive to determining that the pronunciation score does satisfy the threshold score, identifying the word as mispronounced, and responsive to identifying the word as mispronounced, outputting the word and the pronunciation score thereof.

Abstract: An electronic device tracks its motion in an environment while building a three-dimensional visual representation of the environment that is used to correct drift in the tracked motion. A motion tracking module estimates poses of the electronic device based on feature descriptors corresponding to the visual appearance of spatial features of objects in the environment. A mapping module builds a three-dimensional visual representation of the environment based on a stored plurality of maps, and feature descriptors and estimated device poses received from the motion tracking module. The mapping module provides the three-dimensional visual representation of the environment to a localization module, which identifies correspondences between stored and observed feature descriptors. The localization module performs a loop closure by minimizing the discrepancies between matching feature descriptors to compute a localized pose.

Abstract: Implementations of the subject matter described herein provide a solution for speech synthesis and speech recognition. In this solution, a Text to Speech (TTS) model and an Automatic Speech Recognition (ASR) model supporting at least one language are obtained. The TTS model and the ASR model are adjusted, based on a first set of paired data in a target language, to support the target language. The TTS model is optimized based on the first set of paired data and a first set of synthesized paired data in the target language generated by the ASR model while the ASR model is optimized based on the first set of paired data and a second set of synthesized paired data in the target language generated by the TTS model. As such, the solution can provide TTS and ASR models with high accuracy for languages lacking training data by using less training data.