Abstract: A two-handle faucet includes a faucet body, a faucet housing, and a faucet base. The faucet body includes two valve core assemblies, a tee connector, a water outlet pipe, and two water inlet pipes. The water inlet pipes are insertedly connected to the faucet base. The water outlet pipe is hermetically connected to the tee connector. The water inlet pipes are connected to the tee connector through the two valve core assemblies. The valve core assemblies are responsible for the passing of water. The faucet base is only used for supporting the faucet, and the water won't pass through the faucet base. The faucet is safe for use and has sufficient strength, so that the product performance is stable and the cost can be reduced.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing an image. The method includes acquiring an image about an augmented reality scene. The method further includes determining a target image part corresponding to a target object from the image. The method further includes using a machine learning model to augment information about the target object in the target image part to obtain an augmented target image part. The method further includes displaying the augmented target image part. Through the method, augmentation of an augmented reality image may be quickly achieved, the image quality is improved, the use of hardware resources is reduced, and user experience is improved.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for data transmission. In one embodiment, a method includes: receiving a plurality of types of data at a first device from a plurality of data sources, each type of data having a corresponding data transmission configuration; determining a first predicted network bandwidth for transmitting data from the first device to a second device in a first time window period in the future; determining a first piece of configuration information for transmitting the plurality of types of data in the first time window period based on the first predicted network bandwidth and a plurality of data transmission configurations corresponding to the plurality of types of data; and transmitting the received plurality of types of data to the second device in the first time window period based on the first piece of configuration information.

Abstract: Embodiments of the present disclosure provide a method, a device, and a computer program product for updating a model. The method includes: determining a performance metric of a trained machine learning model at runtime; determining a homogeneity degree between a verification data set processed by the machine learning model at runtime and a training data set used to train the machine learning model; determining a type of a conceptual drift of the machine learning model based on the performance metric and the homogeneity degree; and performing an update of the machine learning model based on the type of the conceptual drift, where the update includes a partial update or a global update. In this way, a desired performance of the machine learning model can be maintained, while avoiding excessive time costs and computational resource costs caused by frequent global updates.

Abstract: Embodiments of the present disclosure provide a method, a device, and a computer program product for updating a machine learning model. The method may include: determining, with a first machine learning model deployed at a first computing device, a first analysis result for to-be-analyzed data received from a data collector. The method may further include: determining, with a second machine learning model received from a second computing device, a second analysis result for the to-be-analyzed data, the second computing device being different from the first computing device. In addition, the method may further include: determining, based on a comparison of the first analysis result and the second analysis result, a target machine learning model from the first machine learning model and the second machine learning model for use in analyzing additional to-be-analyzed data received from the data collector.

Abstract: The present disclosure discloses a building evacuation system and a building evacuation method. The evacuation method comprises: capturing image data of a region by a plurality of sensors to track a moving state of people in the region; detecting, in the moving state of the people being tracked, an object specified by at least one set abnormal mode, and matching the object with the abnormal mode; and generating an indication representing an abnormality of evacuation behavior based on the abnormal mode after being matched. The present disclosure can provide efficient evacuation.

Abstract: The present disclosure provides a motor stator and a motor. The motor stator comprises a core; windings wound on the core; and a three-dimensional fitted winding inner groove embedding structure which is a cage-type structure having ribs and ends, the ribs being embedded in grooves between the windings, and the ends being connected to the ribs and cover ends of stator windings; both of the rib and the end of the inner groove embedding structure comprise nonmagnetic heat-conducting glue layers and a phase-change material layer interposed as an interlayer between the heat-conducting glue layers. According to the present disclosure, the heat of each part of the motor stator can be quickly conducted, so as to rapidly reduce the temperature, quickly eliminate the instantaneous temperature peak, and improve the temperature gradient equilibrium of each part.

Abstract: Embodiments include a method, an electronic device, and a computer program product for information processing. In an example embodiment, a method for information processing includes: acquiring, at a first device, a first feature associated with a target object; applying the first feature to a trained first model deployed at the first device to determine a first confidence coefficient, the first confidence coefficient being associated with probabilities that the first model determines the target object as a real object and as a false object; if the first confidence coefficient is lower than a first threshold confidence coefficient, sending a request for verifying the target object to a second device, the second device being deployed with a trained second model for verifying the target object, and the second model being more complex than the first model; and updating the first model based on a response to the request.

Abstract: Provided is an assembly structure of sun gear shaft and spline shaft of a gearbox for wind turbine. The assembly structure relates to the technical field of gearboxes for wind turbine and includes a sun gear shaft, a spline shaft, a mechanical pump drive gear, and a distance ring. The spline shaft is a hollow shaft. One end of the sun gear shaft is inserted into the spline shaft. The one end of the sun gear shaft inserted into the spline shaft is connected to the spline shaft through a spline pair. The mechanical pump drive gear is mounted at one end of the spline shaft. The inner diameter of the mechanical pump drive gear is less than the inner diameter of the spline shaft. The distance ring is disposed in the spline shaft. One end of the distance ring abuts against the inner side of the mechanical pump drive gear and is securely connected to the mechanical pump drive gear. Another end of the distance ring is spaced from the one end of the sun gear shaft in the spline shaft.

Abstract: A faucet structure includes a faucet spout, at least one valve body, at least one water inlet connecting pipe, and at least one first connecting member. A water outlet end of the valve body is in communication with the faucet spout. One end of the water inlet connecting pipe is hermetically connected to a water inlet end of the valve body. Another end of the water inlet connecting pipe is connected to a water supply angle valve through the first connecting member. Through the water inlet connecting pipe and the first connecting member, the faucet can be installed easily.

Abstract: Embodiments include a method, an electronic device, and a computer program product for information processing. In an example embodiment, a method for information processing includes: acquiring, at a first device, a first feature associated with a target object; applying the first feature to a trained first model deployed at the first device to determine a first confidence coefficient, the first confidence coefficient being associated with probabilities that the first model determines the target object as a real object and as a false object; if the first confidence coefficient is lower than a first threshold confidence coefficient, sending a request for verifying the target object to a second device, the second device being deployed with a trained second model for verifying the target object, and the second model being more complex than the first model; and updating the first model based on a response to the request.

Abstract: The present invention provides a method for calculating the liquid-solid interface morphology during growth of the ingot. The method comprises providing a wafer, selecting plural sampling locations on the wafer and detecting electrical resistivity at the plural sampling locations, calculating height differences between the sampling locations based on the detected electrical resistivity, and illustrating the morphology of the liquid-solid interface based on the calculated height differences. The method of the invention has advantages including easy operation and low cost.

Abstract: An embodiment provides a method for detection of the COVID-19 virus, including: obtaining a body fluid from a patient; exposing the body fluid to at least one binding antibody, wherein the at least one binding antibody binds to an antigen in the body fluid; forming an antigen antibody complex; and determining the presence of the antigen antibody complex. Other aspects are described and claimed.

Abstract: Disclosed are coatings made of inorganic materials on molds for glass molding, particularly, a graded coating of element diffusion inhibition and adhesion resistance on molds for glass molding. The graded coating includes a Cr adhesion layer which is bonded with a substrate, a CrN intermediate layer and a CrxWyN(1-x-y) surface layer, where 0.15<x<0.4, and 0.2?y<0.45. The graded coating has excellent crack growth suppression and adhesion resistance.

Abstract: Embodiments of the present disclosure provide a method, a device, and a program product for keystroke pattern analysis.

Abstract: Embodiments of the present disclosure provide a computer interaction method, device, and program product. The method includes: acquiring, in response to triggering of an input to an electronic device, multiple images that present a given part of a user; determining a corresponding character sequence based on respective gestures of the given part in the multiple images, corresponding characters in the character sequence being selected from a predefined character set in which multiple characters respectively correspond to different gestures of the given part; and determining, based on the character sequence, a computer instruction to be input to the electronic device. With this solution, the user can conveniently and flexibly execute the input to the electronic device through a gesture of the given part (e.g., a hand).

Abstract: The present application discloses a method for preparing a TEM sample, including the following steps: step 1: providing a thin-film pre-sample with undesirable voids; step 2: performing a first cutting with a first FIB to form the TEM sample located in the target region of the thin-film pre-sample. The first thickness is reached after the first cutting. The voids are exposed from the front surface or the back surface of the TEM sample after the first cutting; step 3: depositing a first material layer by an ALD process to fill the voids in the TEM sample; step 4: performing the second cutting with a second FIB to form the target thickness of the TEM sample in the target region of the thin-film pre-sample. The present application can reduce or eliminate ion beam cutting marks related to the voids in the thin-film pre-sample.

Abstract: A system and method for exploiting deepwater shallow low-abundance unconventional natural gas by artificial enrichment is provided. The system includes a metallogenic system, a transport system and a collection system. The metallogenic system is used for clustering and enriching the deepwater shallow low-abundance nonconventional natural gas to form a natural gas hydrate reservoir. The metallogenic system includes an artificial foundation pit and a dome cap covering the top of the artificial foundation pit. The transport system is used for transporting low-abundance natural gas in a deepwater shallow low-abundance nonconventional natural gas stratum to the metallogenic system to provide a gas source for synthesizing the natural gas hydrate reservoir for the metallogenic system. The transport system includes oriented communication wells connecting the artificial foundation pit and the deepwater shallow low-abundance nonconventional natural gas stratum and filled with gravel particles.