Abstract:
A method, apparatus and device for obtaining a blood glucose measurement result. A neural network model is trained by using the following method, so as to obtain a trained first neural network model: acquiring a first invasive blood glucose measurement result of a tested object (101); forming a group of new training data by means of same and characteristic values of the most recent PPG signals of the tested object (102); training the neural network model with the training data, so as to obtain a trained first neural network model (106); and after a group of new PPG signals is acquired, extracting characteristic values of the new PPG signals, and inputting the characteristic values into the trained first neural network model, so as to obtain a target blood glucose measurement result (107).
Abstract:
An intelligent display device. The intelligent display device comprises a control film layer and a display film layer that is used for displaying pattern information. The display film layer is disposed on the control film layer. The control film layer is used for controlling the display information of the display film layer according to an instruction sent by a corresponding mobile terminal. The harm to a human body, caused by nail polish that is used by users and contains a harmful matter, can be avoided, time is saved, the operation complexity is lowered, and different requirements of users can be met when the users stay at home.
Abstract:
The present disclosure provides a pixel driving circuit, an array substrate and a display panel. The pixel driving circuit of the present disclosure includes a switch transistor and N redundant switch transistors, the switch transistor and the N redundant switch transistors are connected in series, a second electrode of an Nth redundant switch transistor is coupled to a first electrode of the switch transistor, and a second electrode of the switch transistor is coupled to a display electrode.
Abstract:
Disclosed are a reinforcement learning model training method and apparatus, a dialogue processing method and a dialogue system, and a computer-readable storage medium. The reinforcement learning model training method includes: acquiring unlabelled data and labelled data which are used for training a reinforcement learning model; on the basis of the unlabelled data, generating, with reference to the labelled data, an experience pool for training the reinforcement learning model; and using the experience pool to train the reinforcement learning model.
Abstract:
An image processing method and system, a storage medium and a moving system are provided, and the image processing method includes: obtaining a 2D depth array Dp having depth information of a target object; calculating to obtain a depth vector D=[d1, d2, d3, . . . , dl, . . . , dn], in which an element di is an average value of elements of the ith row in the 2D depth array; calculating to obtain an edge determination vector ΔD=[Δd1, Δd2, Δd3, . . . , Δdi, . . . , Δdn−1], in which an element Δdi=|di−di+1|; calculating an average value d0=(|Δd2−Δd1|+|Δd3−Δd2|+ . . . +|Δdn−1−Δdn−2|)/(n−2); and comparing an absolute value |Δdi−Δdi+1| with d0 to identify an edge of the target object, in which in a situation where |Δdi−Δdi+1| is greater than d0, it is determined that the elements of the ith row in the 2D depth array Dp correspond to the edge of the target object.
Abstract:
A pixel circuit is provided. The pixel circuit includes a photoelectric converter unit, an amplifier unit, a reset unit, a compensation unit, a charging unit, and a readout unit, wherein the photoelectric converter unit is connected to a first voltage terminal and the amplifier unit, and is configured to convert an optical signal into an electric signal, wherein the amplifier unit is connected to the photoelectric converter unit, the charging unit, and the readout unit, and is configured to amplify an output signal from the photoelectric converter unit, and wherein the reset unit is connected to a reset terminal, the first voltage terminal, and the amplifier unit, and is configured to reset the amplifier unit based on an input signal from the reset terminal and an input signal from the first voltage terminal.
Abstract:
An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.
Abstract:
The present disclosure provides a display substrate, its manufacturing method, and a display device. The method includes a step of forming a plurality of TFTs. The method further includes steps of: forming a lattice matching layer on a substrate so as to deposit AlN thereon; depositing an AlN layer on the lattice matching layer by low-temperature pulse magnetron sputtering; and forming on the AlN layer GaN LEDs each including an n-type GaN layer, a multilayered quantum well structure and a p-type GaN layer and corresponding to one of the TFTs.
Abstract:
An organic light emitting diode display apparatus includes a light-emitting module and a color filter layer that includes a plurality of sub-pixels, wherein at least one of the sub-pixels contains a quantum dot material; the light-emitting module includes a plurality of light-emitting units corresponding to the plurality of sub-pixels on the color filter layer.
Abstract:
This application discloses a touch panel and a human-computer interaction method based on a touch panel. The touch panel includes a base substrate, at least one pressure detector and at least one actuator arranged on the base substrate, and a driving circuit. The at least one pressure detector is electrically connected to the driving circuit, and the driving circuit is electrically connected to the at least one actuator.