Abstract: The disclosure provides an array substrate, a display panel and a displaying device, relating to the technical field of display ambient light. The array substrate has an active area and a peripheral area located on at least one side of the active area. The array substrate comprises a brightness detection module and a reference module. The brightness detection module is arranged in the peripheral area, comprising at least one first thin-film transistor. The brightness detection module is configured to receive ambient light, generate an ambient light brightness detecting current signal in response to the ambient light and output the ambient light brightness detecting current signal. The reference module is arranged in the peripheral area, comprising at least one second thin-film transistor. The reference module is configured to, in a dark state without ambient light, generate and output a reference current signal.

Abstract: Aspects of the present disclosure involve a system comprising a medium storing a program and method for machine-learning based selection of a representative video frame. The program and method provide for receiving a set of video frames; determining a first subset of frames by removing frames outside of an image quality threshold; determining a second subset by removing frames outside of an image stillness threshold; computing feature data for each frame in the second subset; providing, for each frame in the second subset, the feature data to a machine learning model (MLM), the MLM being configured to output a score for each frame in the second subset of frames based on the feature data, the MLM having been trained with a first set of images labeled based on aesthetics, and with a second set of images labeled based on image quality; and selecting a frame based on output scores.

Abstract: Systems and methods herein describe an image compression system. The image compression system generates a first generative adversarial network (GAN), identifies a threshold, based on the threshold, generates a second GAN by pruning channels of the first GAN, trains the second GAN using similarity-based knowledge distillation from the first GAN, and stores the trained second GAN.

Abstract: Systems and methods herein describe a motion retargeting system. The motion retargeting system accesses a plurality of two-dimensional images comprising a person performing a plurality of body poses, extracts a plurality of implicit volumetric representations from the plurality of body poses, generates a three-dimensional warping field, the three-dimensional warping field configured to warp the plurality of implicit volumetric representations from a canonical pose to a target pose, and based on the three-dimensional warping field, generates a two-dimensional image of an artificial person performing the target pose.

Abstract: A wound multiple sensing method, including: calculating the similarity between the current data sequence and each of the case-data sequences in each of the reference cases; selecting the case-data sequence which has the greatest similarity with the current data sequence, from the case-data sequences in each of the reference cases, to be a similar case-data sequence in each of the reference cases, wherein each similar case-data sequence corresponds to a similar case treatment; performing a multiple regression analysis using the similar case-data sequences and the similar case treatments to calculate a fitness function, wherein the dependent variable of the fitness function is a wound change; performing a parameter optimization algorithm using the current data sequence and the fitness function to calculate an optimal treatment which maximizes the wound change, and to calculate an expected wound change value that corresponds to the optimal treatment.

Abstract: A module structure and a display device are disclosed. The module structure includes a backlight sheet, a display screen, and a glass cover which are stacked, and further includes a light guide plate, LED lights, and a flexible circuit board disposed between the display screen and the glass cover, the LED lights are located on a side of the light guide plate facing away from a display area, and the LED lights are electrically connected to the flexible circuit board.

Abstract: Disclosed herein are arrangements that facilitate the transfer of knowledge from models for a source data-processing domain to models for a target data-processing domain. A convolutional neural network space for a source domain is factored into a first classification space and a first reconstruction space. The first classification space stores class information and the first reconstruction space stores domain-specific information. A convolutional neural network space for a target domain is factored into a second classification space and a second reconstruction space. The second classification space stores class information and the second reconstruction space stores domain-specific information. Distribution of the first classification space and the second classification space is aligned.

Abstract: The disclosure relates to the technical field of liquid crystal display, and discloses a backlight module and a display device. The backlight module includes a light guide plate and a plurality of light emitting diodes arranged in a first direction, where the light guide plate is provided with a first region and a second region along a second direction, and the first direction and the second direction intersect with each other; and dots of the first region include a plurality of isolated cluster structures, and a dot density between any two adjacent cluster structures is lower than a dot density of each of the cluster structures.

Abstract: The present disclosure provides a backlight module and a display device. The backlight module includes: a back plate including a bottom wall and a side wall coupled thereto, with the bottom wall and the side wall defining an accommodating space; a light guide plate disposed in the accommodating space and including: a light outgoing surface disposed away from the bottom wall, a bottom surface disposed toward the bottom wall, and a light incident surface coupled between the light outgoing face and the bottom face; a light source disposed in the accommodating space and configured to emit light toward the light incident surface; and a composite film located on a side of the light guide plate away from the bottom wall and including a diffuser sheet and a plurality of prism sheets combined together and sequentially arranged in a direction away from the light guide plate.

Abstract: A method for driving display panel includes: for one of adjacent two frames of displayed images, when scanning odd-numbered row of sub-pixels, inputting data signals to the data lines coupled to the data selector in first order by a data selector; when scanning even-numbered row of sub-pixels, inputting data signals to the data lines coupled to the data selector in second order by the data selector; first and second orders each represents an order of inputting data signals to the data lines; first order is opposite to second order; for the other of the adjacent two frames of displayed images, when scanning odd-numbered row of sub-pixels, inputting data signals to the data lines coupled to the data selector in second order by the data selector; when scanning even-numbered row of sub-pixels, inputting data signals to the data lines coupled to the data selector in first order by the data selector.

Abstract: The disclosure relates to the technical field of liquid crystal display, and discloses a backlight module and a display device. The backlight module includes a light guide plate and a plurality of light emitting diodes arranged in a first direction, where the light guide plate is provided with a first region and a second region along a second direction, and the first direction and the second direction intersect with each other; and dots of the first region include a plurality of isolated cluster structures, and a dot density between any two adjacent cluster structures is lower than a dot density of each of the cluster structures.

Abstract: The disclosure provides an acquisition box, comprising a signal receiving end, a voltage processing module, and a wireless communication module. The signal receiving end is configured to receive a measurement signal acquired from a subject. The voltage processing module is configured to reduce a voltage of the measurement signal received by the signal receiving end to obtain a target measurement signal. The wireless communication module is configured to transmit the target measurement signal to a target monitoring device in a wireless mode. The disclosure further provides an acquisition box assembly and a monitoring apparatus.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and method for video synthesis. The program and method provide for accessing a primary generative adversarial network (GAN) comprising a pre-trained image generator, a motion generator comprising a plurality of neural networks, and a video discriminator; generating an updated GAN based on the primary GAN, by performing operations comprising identifying input data of the updated GAN, the input data comprising an initial latent code and a motion domain dataset, training the motion generator based on the input data, and adjusting weights of the plurality of neural networks of the primary GAN based on an output of the video discriminator; and generating a synthesized video based on the primary GAN and the input data.

Abstract: The present disclosure provides an electronic device including: a metal housing having four antenna slots, which correspond to four antennas that enable the electronic device to support a fifth generation mobile communication network. The present disclosure can realize antennas that enable an electronic device having a metal back housing to support a fifth generation mobile communication network.

Abstract: A messaging system performs neural network hair rendering for images provided by users of the messaging system. A method of neural network hair rendering includes processing a three-dimensional (3D) model of fake hair and a first real hair image depicting a first person to generate a fake hair structure, and encoding, using a fake hair encoder neural subnetwork, the fake hair structure to generate a coded fake hair structure. The method further includes processing, using a cross-domain structure embedding neural subnetwork, the coded fake hair structure to generate a fake and real hair structure, and encoding, using an appearance encoder neural subnetwork, a second real hair image depicting a second person having a second head to generate an appearance map. The method further includes processing, using a real appearance renderer neural subnetwork, the appearance map and the fake and real hair structure to generate a synthesized real image.

Abstract: Systems and methods herein describe novel motion representations for animating articulated objects consisting of distinct parts. The described systems and method access source image data, identify driving image data to modify image feature data in the source image sequence data, generate, using an image transformation neural network, modified source image data comprising a plurality of modified source images depicting modified versions of the image feature data, the image transformation neural network being trained to identify, for each image in the source image data, a driving image from the driving image data, the identified driving image being implemented by the image transformation neural network to modify a corresponding source image in the source image data using motion estimation differences between the identified driving image and the corresponding source image, and stores the modified source image data.

Abstract: Disclosed herein are arrangements that facilitate the transfer of knowledge from models for a source data-processing domain to models for a target data-processing domain. A convolutional neural network space for a source domain is factored into a first classification space and a first reconstruction space. The first classification space stores class information and the first reconstruction space stores domain-specific information. A convolutional neural network space for a target domain is factored into a second classification space and a second reconstruction space. The second classification space stores class information and the second reconstruction space stores domain-specific information. Distribution of the first classification space and the second classification space is aligned.

Abstract: A patient state monitoring system and a method for monitoring patient state are disclosed. The patient state monitoring system includes a monitoring device and a monitoring module communicationally connected to the monitoring device, the monitoring module being worn on the patient's body. The patient state monitoring system also includes a processor that obtains parameters, and sets the operating mode of a monitoring module according to the obtained parameters, where the operating mode of the monitoring module comprises a continuous monitoring module and an intermittent monitoring mode. By use of the patient state monitoring system and method, during the monitoring of a patient, strict monitoring of the user's physical condition can be satisfied and the processing of redundant data can be reduced, thereby improving monitoring efficiency and quality.

Abstract: A recovery monitoring system for a hospitalized patient includes a ward-level monitoring apparatus at least comprising a first wireless communication module; and at least one mobile monitoring device attached to the body of a target object, where the at least one mobile monitoring device includes a second wireless communication module in coupling communication with the first wireless communication module. The at least one mobile monitoring device acquires a patient recovery state parameter of the target object, and uses a first wireless transmission scheme to transmit, by means of the second wireless communication module, the patient recovery state parameter to the first wireless communication module. The ward-level monitoring apparatus uses the first wireless transmission scheme to receive, by means of the first wireless communication module, the patient recovery state parameter from the at least one mobile monitoring device. The disclosed system realizes real time monitoring of a hospitalized patient.

Abstract: A portable monitoring apparatus, a monitoring device, and a monitoring system are disclosed. The portable monitoring apparatus includes a first type of sensor configured to acquire a physiological parameter value, which includes at least one of an electrocardiogram (ECG) parameter value, a respiratory parameter value, a blood oxygen parameter value, a blood pressure parameter value, and a body temperature parameter value; a second type of sensor configured to acquire a non-physiological parameter value, which includes at least one of a sleep parameter value, a motion parameter value, and a pain parameter value; and a processor configured to take the acquired physiological parameter value and non-physiological parameter value as patient status recovery parameter values and control to output the patient status recovery parameter values.