Abstract: The present disclosure provides a method for timing control of an electronic device, comprising: receiving a timing control instruction for the electronic device from a user, the timing control instruction comprises controlling the electronic device to operate repeatedly during N continuous time periods with the same certain time duration, wherein N is a positive integer greater than or equal to 2, and each time period at least comprises a first sub-time period and a second sub-time period. Controlling an operation of the electronic device during each time period comprises: controlling the electronic device to perform a first action at a first time point which is a beginning of the time period; controlling the electronic device to perform a second action different from the first action, in response to the first sub-time period having elapsed since the first time point, and controlling the electronic device according to the timing control instruction.

Abstract: Various embodiments describe frame selection based on training and using a neural network. In an example, the neural network is a convolutional neural network trained with training pairs. Each training pair includes two training frames from a frame collection. The loss function relies on the estimated quality difference between the two training frames. Further, the definition of the loss function varies based on the actual quality difference between these two frames. In a further example, the neural network is trained by incorporating facial heatmaps generated from the training frames and facial quality scores of faces detected in the training frames. In addition, the training involves using a feature mean that represents an average of the features of the training frames belonging to the same frame collection. Once the neural network is trained, a frame collection is input thereto and a frame is selected based on generated quality scores.

Abstract: A method of labelling features for image recognition and an apparatus thereof are provided. The method includes inputting an image to be recognized to an image recognition model to obtain a classification result; obtaining a plurality of recognized features and positions of the recognized features from the image to be recognized based on activation maps respectively corresponding to a plurality of preset features in the classification result; and labelling the recognized features and the positions of the recognized features activating the classification result. Accordingly, the features determined by the image recognition model can be showed clearly by the method of labelling features for image recognition and the apparatus thereof.

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: Provided is a method of culturing Stichopus japonicus Stichopus japonicus, Marsupenaeus japonicus, Portunus trituberculatus and Ulva lactuca, which belongs to the technical field of mariculture, including the following steps: preparing a pond and laying a substratum for Stichopus japonicus from March 1 to 5; putting the Stichopus japonicus seedlings, and then culturing Ulva lactuca seedlings on April 1; putting Marsupenaeus japonicus seedlings on April 15; putting Portunus trituberculatus juveniles on May 5; harvesting Marsupenaeus japonicus on July 15, and putting Marsupenaeus japonicus seedlings again; harvesting Stichopus japonicus, Marsupenaeus japonicus, Portunus trituberculatus and Ulva lactuca from November 5 to 10. By adopting the method of biological control of predators of Stichopus japonicus, the use of the pesticides and fishery drugs in the culture and pond-cleaning process is reduced, and green and healthy culture, energy saving and environmental protection are realized.

Abstract: The disclosure relates to a data processing device for driving assisting, a data processing method for driving assisting, and associated storage medium and vehicle. The data processing device for driving assisting includes: a data processing system configured to receive and process a plurality of vehicle data; and a processing control system configured to perform degradation control under the condition that the data processing system is degraded, to receive and process the plurality of vehicle data in a degradation mode. The data processing device for driving assisting, the data processing method for driving assisting, and the associated storage medium and vehicle perform reasonable division of processing task and degradation control on the data processing system and the processing control system, thereby under the condition that modules in the data processing device stop operating, other modules can be allocated to take over the task timely and effectively.

Abstract: The disclosure discloses a method and device for determining parameter for a gaze tracking device. The method includes that: an image to be detected and a characteristic matrix of the image to be detected are acquired; the image to be detected is processed according to a preset model to obtain a first vector and second vector of the image to be detected; and a parameter of the image to be detected is determined according to the first vector and the second vector, the parameter of the image to be detected including at least one of: a position of a glint in the image to be detected and a gaze direction of eyes in the image to be detected.

Abstract: The present disclosure relates to a counter substrate and display panel. The counter substrate includes a base substrate, PS pattern layer and alignment film. A surface of the PS pattern layer away from the base substrate is a support surface, and the PS pattern layer includes: main PSs in a display area and a peripheral barrier wall in a non-display area. The peripheral barrier wall has an elongated-strip shape and has a same length direction as a corresponding display area side, the support surface of the peripheral barrier wall is closer to the base substrate than that of the main PS, and a distance between the support surfaces of the peripheral barrier wall and main PS in a thickness direction is a first distance. A ratio between a width of the support surface of the peripheral barrier wall and the first distance is less than 100.

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: 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 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: 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.