Abstract: The described aspects and implementations enable efficient calibration of a sensing system of a vehicle. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to collect sensing data, characterizing an environment of the vehicle, the sensing data including infrared sensing data. The system further includes a data processing system operatively coupled to the sensing system and configured to process the sensing data using a classifier machine-learning model to obtain a classification of one or more vulnerable road users present in the environment of the vehicle.

Abstract: Methods and devices are provided for allowing a mobile device (e.g., a key fob or a consumer electronic device, such as a mobile phone, watch, or other wearable device) to interact with a vehicle such that a location of the mobile device can be determined by the vehicle, thereby enabling certain functionality of the vehicle. A device may include both RF antenna(s) and magnetic antenna(s) for determining a location of a mobile device relative to the vehicle. Such a hybrid approach can provide various advantages. Existing magnetic coils on a mobile device (e.g., for charging or communication) may be re-used for distance measurements that are supplemented by the RF measurements. Any device antenna may provide measurements to a machine learning model that determines a region in which the mobile device resides, based on training measurements in the regions.

Abstract: An intra prediction method includes obtaining respective intra prediction modes or texture distributions of P reconstructed picture blocks in a surrounding region of a current block; obtaining, based on the respective intra prediction modes or texture distributions of the P reconstructed picture blocks, Q priori candidate intra prediction modes of the current block and Q probability values; obtaining, based on M probability values corresponding to M priori candidate intra prediction modes, M weighting factors corresponding to the M priori candidate intra prediction modes; separately performing intra prediction based on the M priori candidate intra prediction modes to obtain M predicted values; and obtaining a predicted value of the current block based on a weighted summation of the M predicted values and the corresponding M weighting factors.

Abstract: In one embodiment, a method for tensor data distribution using a direct-memory access agent includes generating, by a first controller, source addresses indicating locations in a source memory where portions of a source tensor are stored. A second controller may generate destination addresses indicating locations in a destination memory where portions of a destination tensor are to be stored. The direct-memory access agent receives a source address generated by the first controller and a destination address generated by the second controller and determines a burst size. The direct-memory access agent may issue a read request comprising the source address and the burst size to read tensor data from the source memory and may store the tensor data into an alignment buffer. The direct-memory access agent then issues a write request comprising the destination address and the burst size to write data from the alignment buffer into the destination memory.

Abstract: A frozen stuffed fish ball with low soup loss and the method of preparing the same. By combining hydrocolloid and oil pre-emulsification technology, the problems of taste of powder, soup loss of fish balls after freeze-thaw cooking and the taste of frozen stuffed fish balls after freeze-thaw cooking are solved. The use of konjac gum and carrageenan or curdlan respectively, combined with oil pre-emulsification technology, also effectively improves the texture and brightness of the outer skin of fish balls. Compared with a single addition of conventional technology, the hardness, elasticity and brightness are increased, solving loosen structure, brightness and other problems due to freeze-thaw cycle. Further, it may be used in the fish ball processing line for preparing fish ball with fillings and other stuffed surimi products.

Abstract: Provided are a composite material and a preparation method therefor. The composite material comprises: a base layer; a first plant fibre fabric located on the upper surface of the base layer; optionally, a second plant fibre fabric located on the lower surface of the base layer; and resins present in each layer. The composite material has a decorative performance and an improved mechanical performance.

Abstract: A squatting bionic device of a human lower-limb joint is provided. In the squatting bionic device, a vertical support plate is provided on the device with a sliding table, which is driven by a first motor to slide up and down in a height direction of the vertical support plate or to be fixed on the vertical support plate. A horizontal fixed shaft is fixed on the sliding table. The middle of the fixed shaft is connected with a femoral shaft through a first universal joint. A lower end of the femoral shaft is fixedly connected with a lower femur simulation block. A wire rope is wound around a rotation shaft of a second motor fixed on a base. One end of the wire rope is fixed on the rotation shaft of the second motor, and the other end thereof extends upwards.

Abstract: A loop filtering method and apparatus are provided. The method includes: obtaining a first pixel matrix, where a value of a pixel at a corresponding location in the first pixel matrix corresponds to a luminance value of a pixel at a corresponding location in a first picture block; obtaining a second pixel matrix, where a pixel at a corresponding location in the second pixel matrix corresponds to a quantization step value corresponding to the luminance value of the pixel at the corresponding location in the first picture block; performing filtering processing on an input pixel matrix by using a filtering network to obtain an output pixel matrix, where the filtering network is a neural network that has a filtering function and is obtained through training, the output pixel matrix includes a third pixel matrix. Thus, filtering effect can be improved for reconstructed pictures of various quality levels.

Abstract: A laser projection apparatus includes a laser light source, a diffusion wheel including a motor and a diffusion portion, a diffusion wheel driving circuit, a switch circuit and a main control circuit. The main control circuit is configured to sequentially output first and second startup PWM signals in response to a startup instruction. The diffusion wheel driving circuit is configured to drive the motor to drive the diffusion portion to rotate in response to the second startup PWM signal. The main control circuit is configured to obtain a rotation speed of the motor, and output an operating PWM signal and a first switch signal when the rotation speed reaching a target rotation speed is determined. The diffusion wheel driving circuit is configured to drive the motor to drive the diffusion portion to rotate in response to the operating PWM signal.

Abstract: A consequent-pole permanent magnet biased bearingless doubly-salient motor includes: a core of a stator/rotor, a middle part of a surface, facing an air gap (11), of each stator pole 1-1 is grooved toward an edge part of the stator pole 1-1 in an anti-clockwise direction, one permanent magnet is attached in each groove, and a surface, facing the air gap (11), of each permanent magnet (3) is the same in polarity; each stator pole 1-1 is wounded with an armature coil, the armature coils are serially connected in sequence to form an armature winding, and the armature winding is respectively connected to an external main circuit; and every three stator poles 1-1 are wound with a suspension coil, and the suspension coils opposite spatially and radially are serially connected to form a suspension winding connected to an external suspension control circuit.

Abstract: Example embodiments relate to techniques for three dimensional (3D) object detection and localization. A computing system may cause a radar unit to transmit radar signals and receive radar reflections relative to an environment of a vehicle. Based on the radar reflections, the computing system may determine a heading and a range for a nearby object. The computing system may also receive an image depicting a portion of the environment that includes the object from a vehicle camera and remove peripheral areas of the image to generate an image patch that focuses upon the object based on the heading and the range for the object. The image patch and the heading and the range for the object can be provided as inputs into a neural network that provides output parameters corresponding to the object, which can be used to control the vehicle.

Abstract: Disclosed in the embodiments of the present application are a resource query method and apparatus, a device, and a storage medium. Said method comprises: a service user NF initiating a service access request to a service provider NF, the service access request carrying query conditions for a resource, the query conditions being used for indicating a combined query relationship of at least two query parameters; and the service user NF receiving a service access response returned by the service provider NF.

Abstract: The present disclosure provides fusion polypeptides comprising serum albumin binding single domain antibody and GDF15, the polypeptide complexes thereof. Pharmaceutical compositions comprising the same and methods of treating diseases are also provided.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for model training and duration prediction. The method includes acquiring a first set of parameter values related to a first snapshot of a data object, the first snapshot being deleted from a storage system through a first deletion operation. The method further includes acquiring a first duration during which the first deletion operation is performed. The method further includes generating a prediction model based on at least the first set of parameter values and the first duration, the prediction model being used for determining a predicted duration required for deleting the snapshot from the storage system.

Abstract: This application discloses a motion vector obtaining method and apparatus, a computer device, and a storage medium. In the method, an initial motion vector of a to-be-processed picture block is determined by using a location relationship between a reference block and the to-be-processed picture block. When the reference block and the to-be-processed picture block are located in a same coding tree block, a decoder uses an initial motion vector of the reference block as the initial motion vector of the to-be-processed picture block. When the reference block and the to-be-processed picture block are located in different coding tree blocks, the decoder uses a final motion vector of the reference block as the initial motion vector of the to-be-processed picture block.

Abstract: A method for producing a hollow composite structure, such as a spar beam for a wind turbine blade, includes placing a membrane within a mold tool, the membrane being permeable to air and impermeable to resin. A mandrel is placed within the mold tool, the mandrel enclosed in an air tight layer that includes a vent. Fiber reinforcement material is placed around the mandrel within the mold tool and the membrane is sealed at least partly around the fiber reinforcement material and mandrel. The mold tool is closed with the vent line from the mandrel extending through the sealed membrane to outside of the mold tool. A vacuum is drawn in the mold tool while the mandrel is vented to outside of the mold tool, and while the vacuum is being drawn, resin is infused into the mold tool around the mandrel such that the resin is drawn towards the membrane.

Abstract: Methods and devices are provided for allowing a mobile device (e.g., a key fob or a consumer electronic device, such as a mobile phone, watch, or other wearable device) to interact with a vehicle such that a location of the mobile device can be determined by the vehicle, thereby enabling certain functionality of the vehicle. A device may include both RF antenna(s) and magnetic antenna(s) for determining a location of a mobile device relative to the vehicle. Such a hybrid approach can provide various advantages. Existing magnetic coils on a mobile device (e.g., for charging or communication) may be re-used for distance measurements that are supplemented by the RF measurements. Any device antenna may provide measurements to a machine learning model that determines a region in which the mobile device resides, based on training measurements in the regions.

Abstract: The disclosure provides a speech recognition method, a device and a computer-readable storage medium. The method includes obtaining a first voice signal collected from a first microphone in a microphone array and a second voice signal collected from a second microphone in the microphone array, the microphone array including at least two microphones, such as two, three or six microphones. The method further includes extracting enhanced features associated with the first voice signal and the second voice signal through a neural network, and obtaining a speech recognition result based on the enhanced features extracted.

Abstract: This application discloses a face image processing method performed by an electronic device. The method includes: acquiring a face image of a source face and a face template image of a template face; performing three-dimensional face modeling on the face image and the face template image to obtain a three-dimensional face image feature of the face image and a three-dimensional face template image feature of the face template image; fusing the three-dimensional face image feature and the three-dimensional face template image feature to obtain a three-dimensional fusion feature; performing face replacement feature extraction on the face image based on the face template image to obtain an initial face replacement feature; transforming the initial face replacement feature based on the three-dimensional fusion feature to obtain a target face replacement feature; and replacing the template face with the source face based on the target face replacement feature to obtain a target face image.

Abstract: An image processing method and apparatus are provided. During image matting on an original image, a plurality of segmented images including different regions are first obtained through semantic segmentation. Further, according to the segmented images, lines of different widths are drawn on a contour line of a foreground region to obtain a target trimap. Finally, a target image is generated based on the target trimap. For the target trimap, because lines of different widths are drawn on the contour line of the foreground region, pertinent image matting may be implemented for different regions, so that image matting precision may be improved for a region requiring fine image matting, and image matting precision of another region can also be ensured. In this way, a final image obtained through image matting is fine and natural.