Abstract: Disclosed are an information providing method and system. In an embodiment, the method includes: acquiring product data and/or historical operation data; determining at least one feature description tag of an industrial product based upon the product data, and taking the at least one feature description tag of the industrial product as a feature of the industrial product; and/or determining at least one feature description tag of a user based upon the historical operation data, and taking the at least one feature description tag of the user as a feature of the user. The method further includes sending the feature of the industrial product and/or the feature of the user to a human-machine interactive device for display on a human-machine interactive interface. An embodiment further provides a reference suggestion for operative control of the industrial product by the user.

Abstract: A method for preparing an ammonium thiomolybdate-porous amorphous carbon composite superlubricity film is disclosed. First, a porous amorphous carbon film is prepared by an anode layer ion source assisted plasma chemical vapor deposition method and a reactive magnetron sputtering method on a substrate. The porous amorphous carbon film is then impregnated in an ammonium thiomolybdate solution, so that the ammonium thiomolybdate is adsorbed on the porous amorphous carbon film, and the impregnated porous amorphous carbon film is air dried.

Abstract: Video decoding and encoding methods and apparatuses are provided. The decoding method includes: obtaining a first parameter set corresponding to a to-be-decoded video frame; determining an effective quantization matrix (QM) according to syntax elements included in the first parameter set, the effective QM being a QM actually used for inversely quantizing quantized transform coefficients during decoding of the to-be-decoded video frame; and decoding the effective QM.

Abstract: The present disclosure discloses a method for realizing macroscopic super-lubrication by a matching pair of nano metal-coated steel balls and hydrogen-containing carbon films, which is based on the use of nano metal-coated steel balls and diamond-like films with a hydrogen content of 25-30% as the matching pair. Further, a tribochemical reaction occurs through the catalytic action of nano metal during the friction process to form a nano graphene transfer film with incommensurate contact at the contact interface to achieve macroscopic super-lubrication.

Abstract: The disclosure provides a method for recognizing an image, an apparatus for recognizing an image, an electronic device and a storage medium. An image to be processed is obtained. The number of first channels of the image is greater than the number of second channels of a red-green-blue (RGB) image. For each pixel of the image, a semantic type of the pixel is determined based on a value of the pixel on each channel. A recognition result of the image is generated based on the image and the semantic type of each pixel.

Abstract: The present application relates to a fingerprint identification module and a display device. The fingerprint identification module includes: a first lens assembly; a second lens assembly with a primary optical axis not parallel to a primary optical axis of the first lens assembly; a reflecting mirror assembly, including a reflecting mirror and a rotating shaft coupled to the reflecting mirror, wherein the rotating shaft can drive the reflecting mirror to rotate, and the reflecting mirror includes a reflecting surface; and a light-sensitive element located at a light exiting side of the second lens assembly.

Abstract: The present disclosure provides a display module, a method for fabricating the display module and a display device. The display module includes a display substrate and a touch layer on a light emitting side of the display substrate, the display substrate includes a plurality of light emitting units, the touch layer includes a plurality of touch units in the touch area, and an orthographic projection of each of the plurality of touch units on the display substrate covers at least two light emitting units. Each touch unit includes: a mesh conductive structure including conductive wires arranged crosswise to define a plurality of grids, an orthographic projection of each conductive wire on the display substrate is in a space between adjacent light emitting units; and a plurality of first transparent electrodes, each of which is in the grid and electrically coupled to the conductive wire.

Abstract: A lithium slurry battery system is provided. The system includes a lithium slurry battery and a maintenance and regeneration equipment for the battery. The battery includes: a case, a cell core accommodated in the case, and a cover butting device. The case is provided with a cover and a case body. The cover butting device is arranged on the cover and is provided with a first cover port and a second cover port. The maintenance and regeneration equipment includes: a gas storage tank for storing gas, a liquid storage tank for storing liquid; a gas recovery storage tank for storing gas recovered from the lithium slurry battery; a liquid recovery storage tank for storing liquid recovered from the lithium slurry battery; and an equipment butting device provided with a first equipment port and a second equipment port.

Abstract: A texture image compensation method, a texture detection method and a device, and an electronic device are provided. The texture detection method includes: performing an image difference calculation on a first texture image acquired by a texture detection device and a foreign object correction image acquired by the texture detection device to compensate foreign object information in the first texture image, and to acquire a second texture image; performing and the texture detection by using the second texture image.

Abstract: An object detection model training method, object detection method and related apparatus, relate to the field of artificial intelligence technologies such as computer vision, deep learning. An implementation includes: obtaining training sample data including a first remote sensing image and position annotation information of an anchor box of a subject to be detected in the first remote sensing image, where the position annotation information includes angle information of the anchor box relative to a preset direction; obtaining an object feature map of the first remote sensing image based on an object detection model, performing object detection on the subject to be detected based on the object feature map to obtain an object bounding box, and determining loss information between the anchor box and the object bounding box based on the angle information; updating a parameter of the object detection model based on the loss information.

Abstract: A method for preparing a super-lubricative multi-layer composite fullerene-like carbon layer/graphene-like boron nitride thin film is provided. A substrate is ultrasonically cleaned in absolute ethyl alcohol and acetone sequentially for 15 min. The substrate is cleaned by argon plasma bombardment for 15 min. A fullerene-like carbon layer A having an onion-like structure is prepared by high-vacuum medium-frequency magnetron sputtering for 30 s. A graphene-like boron nitride layer B is prepared by high-vacuum medium-frequency magnetron sputtering and coating device to sputter the elemental boron target for 30 s. Steps (3) and (4) are repeated 80 times to overlay the fullerene-like carbon layer A and the graphene-like boron nitride layer B in an alternate way. The super-lubricative multi-layer composite fullerene-like carbon layer/graphene-like boron nitride thin film has a large load capacity, and excellent wear resistance, high temperature resistance and super lubrication.

Abstract: This application discloses a class loading method and apparatus. The method is applied to a computer device, the computer device includes a target binary file, the target binary file includes a correspondence between class names of a plurality of classes and full information of the plurality of classes, and the class names are in a one-to-one correspondence with the full information of the classes. The method includes: determining a class name of a to-be-loaded class required for running an application program in the computer device; obtaining full information corresponding to the class name of the to-be-loaded class based on the class name of the to-be-loaded class and the correspondence between the class names of the plurality of classes and the full information of the plurality of classes; and running the application program based on the full information corresponding to the class name of the to-be-loaded class.

Abstract: Iterative reconstruction (20) of imaging data is performed to generate a sequence of update images (22) terminating at a reconstructed image. During the iterative reconstruction, at least one of an update image and a parameter of the iterative reconstruction is adjusted using an adjustment process separate from the iterative reconstruction. In some embodiments using an edge-preserving regularization prior (26), the adjustment process (30) adjusts an edge preservation threshold to reduce gradient steepness above which edge preservation applies for later iterations compared with earlier iterations. In some embodiments, the adjustment process includes determining (36, 38) for each pixel, voxel, or region of a current update image whether its evolution prior to the current update image 22) satisfies an artifact feature criterion. A local noise suppression operation (40) is performed on the pixel, voxel, or region if the evolution satisfies the artifact feature criterion and is not performed otherwise.

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (181, 182, 20) to perform an imaging method (100). The method includes: reconstructing emission imaging data to generate an emission image of a lesion; converting intensity values of the emission image to at least one standardized uptake value (SUV value) for the lesion; processing input data using a regression neural network (NN) (28) to output an SUV correction factor for the lesion, wherein the input data includes at least two of (i) image data comprising the emission image or a feature vector representing the emission image, (ii) the at least one SUV value, (iii) a size of the lesion, and (iv) reconstruction parameters used in the reconstructing; and controlling a display device (24) to display at least one of (I) the SUV correction factor and (II) a corrected SUV value generated by applying the SUV correction factor to the at least one SUV value.

Abstract: This application provides a headset accommodating apparatus, a headset, and a portable device. The headset accommodating apparatus includes a base, and an accommodating cavity used to accommodate a headset is formed on the base. The accommodating cavity has a bottom surface, a side wall, and an opening, and has a first end corresponding to a headset head and a second end corresponding to a headset tail. An epitaxial frame that extends toward the second end is formed at an opening of the first end. The apparatus includes a first spring and a sliding block at a side wall of the second end, and the first spring may be compressed in a direction of a connecting line between the first end and the second end. A first end of the sliding block is connected to the first spring, and a protruding part is formed on a second end of the sliding block.

Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: A buffer stage for amplifying a clock signal generated by a current controlled oscillator that receives a first current at a first supply voltage from a first current source. The buffer stage comprises an input terminal configured to receive the clock signal; an output terminal configured to output a buffered signal; at least one buffer, coupled between the input and output terminal, configured to receive a second current at a second supply voltage and buffer the clock signal to generate the buffered signal; a clamping circuit that receives the first current and the second current, and generates a first supply voltage and a second supply voltage. The clamping circuit clamps the second supply voltage equal to the first supply voltage.

Abstract: The following relates to noise filtering in nuclear imaging systems. In one aspect, a fully automatic noise filtering system is provided in a nuclear imaging device. In some embodiments, a filter parameter selection engine is applied to an image environment of a medical image to calculate an image filter configuration for the medical image wherein the image environment includes values for one or more of an imaging subject of the medical image, an imaging device used to acquire the medical image, and a medical context of the medical image.

Abstract: This document provides methods and materials involved in treating cardiovascular conditions such as calcific aortic valve stenosis. For example, methods and materials for using sGC agonists or a combination of sGC agonists and PDE5A inhibitors to reduce calcification of heart valves and/or vessels or to slow progression of aortic sclerosis to calcific aortic valve stenosis are provided.