Abstract: The present invention relates to the field of vehicle correction, and provides a calibration system and a calibration bracket thereof. The calibration bracket includes: a base, a stand assembly and a beam assembly. The stand assembly is fixedly connected to the base. The beam assembly includes a first beam portion, a second beam portion and a connecting portion, the connecting portion being mounted to the stand assembly, one end of the connecting portion being hinged to the first beam portion, and the other end of the connecting portion being hinged to the second beam portion. The first beam portion and the second beam portion can respectively rotate toward each other relative to the connecting portion, so that the beam assembly can be folded. The first beam portion and the second beam portion can also respectively rotate away from each other relative to the connecting portion, so that the beam assembly can be unfolded.

Abstract: A radio frequency front-end module, a manufacturing method thereof and a communication device are provided. The radio frequency front-end module includes a first base substrate and a metal bonding structure; a second functional substrate, including a second base substrate, a groove in the second base substrate, and a bonding metal layer; and a first radio frequency front-end component, at least partially located in the groove, the first base substrate and the second base substrate are oppositely arranged, and a surface of the second base substrate close to the first base substrate includes a groove surface inside the groove and a substrate surface outside the groove, and the bonding metal layer includes a first metal portion located on the groove surface and a second metal portion located on the substrate surface, the first radio frequency front-end component is at least partially surrounded by the first metal portion.

Abstract: The present invention relates to the technical field of vehicle maintenance and device calibration, and discloses a vehicle-mounted radar calibration device and method. The vehicle-mounted radar calibration device includes a bracket apparatus and a radar calibration component. The radar calibration component is configured to be installed on the bracket apparatus and includes a base board. After calibration on the vertical plane of the base board is completed, the radar calibration component is configured to reflect a radar wave, emitted by a vehicle-mounted radar of a to-be-calibrated vehicle, to the vehicle-mounted radar, to calibrate the vehicle-mounted radar. In the present invention, after the vertical plane of the base board is calibrated, the radar calibration component is used to reflect the radar wave emitted by the vehicle-mounted radar to the vehicle-mounted radar.

Abstract: A detection system and method for rotor dynamic turn-to-turn short circuit fault of synchronous generator are disclosed. The system includes a motor, a synchronous generator, a current transformer, an acquisition card, an infrared temperature sensor, a temperature acquisition instrument and a control terminal. The rotor winding dynamic turn-to-turn short circuit fault of synchronous generator is detected and located by measuring the double judgment standards of the temperature signal of rotor winding and the three-phase current signal of stator winding. The method is easy to operate and has high sensitivity. The detection and location process of the fault is efficient and reliable. The dynamic turn-to-turn short circuit fault can be detected in the early stage of the formation of rotor static turn-to-turn short circuit, so as to reduce the loss of power plant fault shutdown and better meet the needs of practical application.

Abstract: The disclosure provides a method for preparing a structured hydrogel and a method for preparing a hydrogel heart valve. In the disclosure, the method includes: providing a photocurable hydrogel ink; establishing a three-dimensional digital model, and conducting photocuring 3D printing on the photocurable hydrogel ink to obtain a printed hydrogel; and immersing the printed hydrogel in water to obtain the structured functional hydrogel, wherein the photocurable hydrogel ink comprises: a high-density hydrogen-bonded unsaturated monomer, a photoinitiator, a dye, and a solvent; and the solvent comprises water and dimethyl sulfoxide.

Abstract: The present invention belongs to the technical field of liquid crystal materials, and in particular relates to a liquid crystal composition and a liquid crystal display element or liquid crystal display containing the liquid crystal composition. The liquid crystal composition of the present invention is characterized in that the liquid crystal composition comprises more than or equal to 30% of a compound represented by Formula I, and also comprises one or more compounds represented by Formula II and one or more compounds represented by Formula III. The liquid crystal composition of the present invention has a high refractive index, a high clearing point and also a low rotational viscosity, and is mainly used for the display of a projector with a relatively high working temperature and a low cell thickness.

Abstract: The present application discloses a fault prediction method, apparatus, and a storage medium, and relates to fields of cloud computing and fault processing. An embodiment includes acquiring a fault alarm request, wherein the fault alarm request is obtained by at least two fault triggering parameters of a fault generated by cloud operation, a hidden danger generated by cloud operation, and a change generated by terminal operation at a user level; analyzing the fault alarm request, to obtain at least two fault triggering parameters of the fault, the hidden danger, and the change; establishing an association between the at least two fault triggering parameters of the fault, the hidden danger, and the change, to obtain an association result; and predicting a fault causing the fault alarm request according to the association result, to obtain a fault prediction result.

Abstract: This specification relates to the fields of automobile maintenance and device calibration technologies and discloses a position adjustment apparatus and an automobile calibration device. The position adjustment apparatus includes a slide member, a supporting member and an adjustment member. The supporting member is movably mounted at the slide member. One of the slide member and the supporting member includes a rack. The adjustment member includes a gear. The gear is meshed with the rack. When rotating, the gear can drive the rack to move in a preset direction, to enable the supporting member to move in the preset direction with respect to the slide member. By means of the gear engagement between the gear and the rack, the supporting member can move stably and precisely in the preset direction with respect to the slide member, so that the automobile calibration device and an automobile to be calibrated can be aligned conveniently and precisely.

Abstract: A liquid crystal composition containing a benzochromene compound and the use thereof in a liquid crystal display element or liquid crystal display. The liquid crystal composition comprises one or more compounds represented by Formula I and one or more compounds represented by Formula II. The liquid crystal composition has the characteristics of a small rotational viscosity, a large elastic constant, a high transmittance, a fast response speed, a strong resistance to ultraviolet light irradiation, and a high long-time light stability, and is particularly suitable for the field of TV display.

Abstract: A computer-implemented method, system and computer program product for training a machine learning model using noisily labeled data. A classification model is built in which a classified dataset is inputted, where the classified dataset includes label noise. Based on the input, the classification model generates a prediction of class probabilities. Furthermore, a second model is built with the same architecture as the classification model, where the second model is a moving average of the classification model, and where the second model generates a prediction of class probabilities. Weight factors used to weight such predictions of these models are generated by the artificial neural network (ANN), in which the weighted predictions are used by the ANN to obtain a prediction of class probabilities. The predictions of class probabilities of the ANN and the classification model are then combined to train the machine learning model.

Abstract: Various embodiments are provided for providing machine learning with noisy label data in a computing environment using one or more processors in a computing system. A label corruption probability of noisy labels may be estimated for selected data from a dataset using temporal inconsistency in a machine model prediction during a training operation in a neural network.

Abstract: The present application discloses a method for measuring stitching overlay accuracy of image sensor stitching manufacturing, forming an A-type overlay pattern mark and a corresponding B-type overlay pattern mark on the edge of each rectangular pixel area to be stitched; after the A-type overlay pattern mark and the B-type overlay pattern mark are stitched and exposed, performing metrology by means of a scanning electron microscope to obtain dimension features; and according to the dimension features of the A-type overlay pattern mark and the B-type overlay pattern mark stitched together and exposed and measured by the scanning electron microscope, determining stitching overlay accuracy of two adjacent rectangular pixel areas. The present application can achieve direct metrology on the overlay pattern mark on the stitched pixel area of a product, facilitating timely and accurate monitoring on the stitching overlay accuracy of image sensor stitching manufacturing.

Abstract: A computer-implemented method, system and computer program product for processing data. Data, including single data points (e.g., images) or entire sequences of data (e.g., speech, video), is received to be processed. A long short term memory structure is utilized to process the received data, where the long short term memory structure includes hidden state sharing modules for allowing information sharing in hidden states across different tasks. The hidden state sharing modules include broadcast modules which are configured to send hidden states of the current task to all previous modules and collect modules which are configured to collect all the hidden states from all the previous modules. In this manner, catastrophic forgetting is avoided by preventing the loss of previously learned information via the use of hidden state sharing modules.

Abstract: Provided in the disclosure is a photomask for detecting flare degree of lens of exposure machine. The photomask includes a central exposure area and a peripheral area, exposure light of the exposure machine passing through the lens and then penetrating the central exposure area to expose photoresist on a wafer, wherein the entire central exposure area is provided with a shading layer to prevent the exposure light from penetrating; and the peripheral area is provided with a plurality of light-transmitting stripes, and stray light formed after the exposure light passes through the lens penetrates the plurality of light-transmitting stripes to expose the photoresist. Further provided in the disclosure is a method for detecting flare degree of lens of exposure machine by using the photomask. According to the disclosure, a lens flare problem of an exposure machine can be found and solved in time.

Abstract: In one embodiment, a method includes training a baseline machine-learning model based on a neural network comprising a plurality of stages, wherein each stage comprises a plurality of neural blocks, accessing a plurality of training samples comprising a plurality of content objects, respectively, determining one or more non-local operations, wherein each non-local operation is based on one or more pairwise functions and one or more unary functions, generating one or more non-local blocks based on the plurality of training samples and the one or more non-local operations, determining a stage from the plurality of stages of the neural network, and training a non-local machine-learning model by inserting each of the one or more non-local blocks in between at least two of the plurality of neural blocks in the determined stage of the neural network.

Abstract: Disclosed is an oil-containing fiber-polymer self-lubricating composite material. The composite material includes a resin matrix and an oil-containing fiber dispersed in the resin matrix, wherein a mass ratio of the resin matrix to the oil-containing fiber is in the range of 100:(1-10); the resin matrix is a photocurable resin or a thermosetting resin; the oil-containing fiber comprises a natural fiber and a lubricating oil adsorbed in the natural fiber.

Abstract: A permanent magnet generator experimental device for simulating electromechanical cross and complex faults is disclosed. The device includes a base, a DC drive motor, a permanent magnet simulation generator, bearing seats, a stator short circuit wiring board and time relays. A certain degree of radial air-gap eccentricity is set by moving a stator and a stator winding, and then a stator short circuit is set by controlling time relays; or a certain degree of axial air-gap eccentricity is set by moving a stator and a stator winding, and then a stator short circuit is set by controlling time relays. According to the above settings, different degrees of electromechanical cross and complex faults are simulated as required.

Abstract: A detection system and method for rotor dynamic turn-to-turn short circuit fault of synchronous generator are disclosed. The system includes a motor, a synchronous generator, a current transformer, an acquisition card, an infrared temperature sensor, a temperature acquisition instrument and a control terminal. The rotor winding dynamic turn-to-turn short circuit fault of synchronous generator is detected and located by measuring the double judgment standards of the temperature signal of rotor winding and the three-phase current signal of stator winding. The method is easy to operate and has high sensitivity. The detection and location process of the fault is efficient and reliable. The dynamic turn-to-turn short circuit fault can be detected in the early stage of the formation of rotor static turn-to-turn short circuit, so as to reduce the loss of power plant fault shutdown and better meet the needs of practical application.

Abstract: An electrically operated valve capable of quickly achieving reliable switching between multiple flow paths. The electrically operated valve includes a driving mechanism, an executing mechanism and a valve body assembly, wherein the driving mechanism includes a bushing and an output shaft located in the bushing, the executing mechanism includes a valve stem connected to the output shaft and a valve core connected to the valve stem, and the valve core is provided with a first flow channel and a second flow channel; the valve body assembly includes a valve body and a valve seat, the bushing forms a space isolated from the outside, the output shaft and a connecting portion between the valve stem and the output shaft are located in this space, and the valve body has a cavity, four through holes and a plug port.

Abstract: A method and apparatus for processing a local hot spot, an electronic device and a storage medium. A specific implementation of the method includes: acquiring, at set times, standalone data of each node device and process data of each process within the each node device in a cloud computing environment; detecting, based on the standalone data of each node device and the process data of each process within the each node device, and pre-acquired historical fault data corresponding to each local hot spot, whether each local hot spot satisfies a preset processing condition corresponding to each local hot spot; and processing the local hot spot satisfying the processing condition, in response to detecting that a local hot spot satisfies the corresponding processing condition.