Abstract: An encapsulated polymer flooding method and system for enhancing oil recovery includes: (1) determining reservoir parameters, a well deployment, and a development dynamic state of a target oil reservoir; (2) determining a near-wellbore targeted profile control area and a far-wellbore targeted viscosification area; (3) designing and synthesizing an encapsulated polymer according to conditions of the target oil reservoir; (4) evaluating and determining whether the anti-shearing performance, the sustained release and viscosification performance, the injection performance, and the profile control performance of the encapsulated polymer meet expected performance requirements based on laboratory tests; (5) formulating an injection scheme for an encapsulated polymer flooding field; and (6) monitoring the development dynamic state of the oil reservoir; according to the present disclosure, the polymer is wrapped with a shell layer, which greatly reduces the shear degradation during injection of the polymer and effecti

Abstract: The disclosure relates to bifunctional CDK-modulating compounds having the structure W-L-T, where W is a targeting group that binds specifically to a CDK protein, T is an E3-ligase binding group, and L is absent or is a bivalent linking group that connects W and T together via a covalent linkage. Compounds and pharmaceutical compositions thereof can promote degradation of one or more CDK protein in a cell and are thus useful for treating, inhibiting, and preventing CDK-associated diseases, disorders and conditions, including cancers.

Abstract: Method as well as resulting electrode and capacitor. The method includes the following process steps: •. in a surface of a metal film substrate, etching microstructures with a predetermined roughness, •. depositing in said microstructures a metal or compound layer, •. converting said metal or compounds layer into metal nanoparticles, constituting a catalyst, •. growing cross linked nanotubes in said microstructures at said metal nanoparticle acting as catalysts.

Abstract: A method for controlling a gate device in connection with at least one gate and two frameworks connected to the at least one gate is provided. The method may include identifying an authorization status of an object. The method may include detecting pressure signals caused by the object at a first moment, if the authorization status is satisfied. The method may include determining whether or not an illegal tailgating event occurred based on the pressure signals. The method may further include generating a control signal for opening the at least one gate to facilitate the object to pass through the at least one gate in response to a determination that the illegal tailgating event did not occur.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for determining image quality. The method comprises: acquiring a to-be-recognized image and facial region information used for indicating a facial region in the to-be-recognized image; extracting a face image from the to-be-recognized image on the basis of the facial region information; inputting the face image into a pre-trained convolutional neural network to obtain probabilities of each pixel comprised in the face image belonging to a category indicated by each category identifier in a preset category identifier set; inputting the face image into a pre-trained key face point positioning model to obtain coordinates of each key face point comprised in the face image; determining a probability of the face image being obscured on the basis of the probabilities and the coordinates; and determining whether the quality of the face image is up to standard on the basis of the probability.

Abstract: A method for controlling a gate device in connection with at least one gate and two frameworks connected to the at least one gate is provided. The method may include identifying an authorization status of an object. The method may include detecting pressure signals caused by the object at a first moment, if the authorization status is satisfied. The method may include determining whether or not an illegal tailgating event occurred based on the pressure signals. The method may further include generating a control signal for opening the at least one gate to facilitate the object to pass through the at least one gate in response to a determination that the illegal tailgating event did not occur.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: The present disclosure discloses a method and apparatus for detecting a human face. A specific embodiment of the method comprises: acquiring a to-be-detected image; inputting the to-be-detected image into a pre-trained first convolutional neural network to obtain facial feature information, the first convolutional neural network being used to extract a facial feature; inputting the to-be-detected image into a pre-trained second convolutional neural network to obtain semantic feature information, the second convolutional neural network being used to extract a semantic features of the image; and analyzing the facial feature information and the semantic feature information to generate a face detection result. This embodiment improves accuracy of a detection result of a blurred image.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for facial recognition. A specific embodiment of the method comprises: extracting a to-be-recognized dark light image captured in a dark light environment; inputting the dark light image into a pre-trained first convolutional neural network to obtain a target image after the dark light image is preprocessed, the first convolutional neural network being used to preprocess the dark light image; and inputting the target image into a pre-trained second convolutional neural network to obtain a facial recognition result, the second convolutional neural network being used to represent a corresponding relationship between the image and the facial recognition result. This embodiment improves accuracy of the facial recognition on the image captured in the dark light environment.

Abstract: A method and an apparatus for generating information are provided. The method comprises: acquiring a to-be-detected image and facial region information used to indicate a facial region in the to-be-detected image and obtained by previously performing face detection on the to-be-detected image; extracting a facial image from the to-be-detected image based on the facial region information; inputting the facial image into a pre-trained convolutional neural network to obtain image feature information, the convolutional neural network being used to extract an image feature; analyzing the image feature information to determine a probability of each pixel point included in the facial image belonging to a category indicated by each category identifier in a preset category identifier set; and generating information for indicating the category to which the each pixel point belongs based on the probability. This embodiment implements generation of information full of pertinence.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for facial recognition. A specific embodiment of the method includes: acquiring a to-be-recognized image; inputting the to-be-recognized image into a pre-trained first convolutional neural network to obtain complete facial feature information and partial facial feature information, the first convolutional neural network being used to extract a complete facial feature and a partial facial feature; and inputting the complete facial feature information and the partial facial feature information into a pre-trained second convolutional neural network to obtain a facial recognition result, the second convolutional neural network being used to represent a correlation between the facial recognition result, and the complete facial feature information and the partial facial feature information. This embodiment improves the accuracy of the recognition result in a situation where a face is partially covered.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: Disclosed herein is a non-flammable sodium-ion battery having a cathode and an anode and which uses an electrolyte that includes NaBF4 and a glyme solvent, where the battery has an average voltage of from 1.5 V to 6.0 V and has a coulombic efficiency after 5 charge/discharge cycles of at least 90%.

Abstract: The present disclosure discloses a method and an apparatus for testing the compatibility of a 3D engine. The method includes: acquiring a hardware capability parameter of a graphics card to be simulated, the hardware capability parameter recording a capability supported by the graphics card; running a predetermined 3D engine according to the hardware capability parameter; and determining, according to a result of running the 3D engine, whether the 3D engine is compatible with the graphics card to be simulated. The present disclosure solves the technical problem that a hardware testing environment needs to be repeatedly built to test the compatibility of the 3D engine on different graphics cards, thereby achieving technical effects of simulating different virtual graphics cards to implement testing in a hardware testing environment built once, and shortening a testing period.

Abstract: A method and an apparatus for generating information are provided. The method comprises: acquiring a to-be-detected image and facial region information used to indicate a facial region in the to-be-detected image and obtained by previously performing face detection on the to-be-detected image; extracting a facial image from the to-be-detected image based on the facial region information; inputting the facial image into a pre-trained convolutional neural network to obtain image feature information, the convolutional neural network being used to extract an image feature; analyzing the image feature information to determine a probability of each pixel point included in the facial image belonging to a category indicated by each category identifier in a preset category identifier set; and generating information for indicating the category to which the each pixel point belongs based on the probability. This embodiment implements generation of information full of pertinence.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for determining image quality. The method comprises: acquiring a to-be-recognized image and facial region information used for indicating a facial region in the to-be-recognized image; extracting a face image from the to-be-recognized image on the basis of the facial region information; inputting the face image into a pre-trained convolutional neural network to obtain probabilities of each pixel comprised in the face image belonging to a category indicated by each category identifier in a preset category identifier set; inputting the face image into a pre-trained key face point positioning model to obtain coordinates of each key face point comprised in the face image; determining a probability of the face image being obscured on the basis of the probabilities and the coordinates; and determining whether the quality of the face image is up to standard on the basis of the probability.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for facial recognition. A specific embodiment of the method includes: acquiring a to-be-recognized image; inputting the to-be-recognized image into a pre-trained first convolutional neural network to obtain complete facial feature information and partial facial feature information, the first convolutional neural network being used to extract a complete facial feature and a partial facial feature; and inputting the complete facial feature information and the partial facial feature information into a pre-trained second convolutional neural network to obtain a facial recognition result, the second convolutional neural network being used to represent a correlation between the facial recognition result, and the complete facial feature information and the partial facial feature information. This embodiment improves the accuracy of the recognition result in a situation where a face is partially covered.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for facial recognition. A specific embodiment of the method comprises: extracting a to-be-recognized dark light image captured in a dark light environment; inputting the dark light image into a pre-trained first convolutional neural network to obtain a target image after the dark light image is preprocessed, the first convolutional neural network being used to preprocess the dark light image; and inputting the target image into a pre-trained second convolutional neural network to obtain a facial recognition result, the second convolutional neural network being used to represent a corresponding relationship between the image and the facial recognition result. This embodiment improves accuracy of the facial recognition on the image captured in the dark light environment.