Abstract: Embodiments of the present disclosure relate to the technical field of computers, and provide a plug-in loading method and device. The method includes: receiving a first operation for a target application, the first operation being configured to trigger the target application to load a first plug-in; determining whether the first plug-in is written in a preset language; determining whether the first plug-in references a function module that does not belong to the first plug-in in response to the first plug-in being written in the preset language; in response to a target function module that does not belong to the first plug-in is referenced by the first plug-in, generating a second plug-in by converting a reference to the target function module by the first plug-in to a reference to the target function module by a module packager of the target application; and loading the second plug-in through the target application.

Abstract: A multi-source domain adaptive electroencephalogram (EEG) emotional state classification method based on knowledge distillation are provided. First, data is obtained for band-pass filtering, and artifacts are removed by an independent component analysis technology. Second, EEG features are extracted by using a differential entropy method, and a three-dimensional EEG time series is converted into a two-dimensional sample matrix. Then, a training set and a test set are defined in two task scenarios, respectively. A pseudo-label triple loss based on marginal sampling is combined with a maximum mean discrepancy. Knowledge is learned from different source domains, so that a plurality of single-source models are utilized to the greatest extent, and a more powerful model is implemented with less time consumption. Finally, the classification accuracy is used to evaluate the performance of the model in the two task scenarios.

Abstract: The present disclosure discloses an electroencephalogram (EEG) emotion recognition method based on a spiking convolutional neural network. In the present disclosure, after EEG emotion data is preprocessed, a differential entropy feature is extracted and a time window is intercepted, and then a spiking convolutional encoder is configured to encode the EEG emotion data; a spiking convolutional feature extractor extracts a spiking data feature; and a spiking fully connected classifier performs learning and classification. In the present disclosure, a spiking neural network combining a spiking convolutional layer and a spiking fully connected layer is trained directly to achieve an objective of EEG emotion classification.

Abstract: A method for generating a user interface is described. A script file for a software component is received, the software component being configured by source code that specifies a plurality of variables for the software component. The script file is parsed for markup language that describes a graphical user interface for the plurality of variables of the software component. A graphical user interface for modifying values of the plurality of variables of the software component is automatically generated using the markup language.

Abstract: A Micro-LED array device based on III-nitride semiconductors and a method for fabricating the same are provided. The Micro-LED array device includes arrayed sector mesa structures that are formed by etching to penetrate through a p-type GaN layer and a quantum-well active layer and deep into an n-type GaN layer, a p-type electrode array deposited by evaporation on the p-type GaN layer of sector arrays, and an n-type electrode array deposited by evaporation on the n-type GaN layer. The n-type electrode array forms blocking walls to isolate the sector mesas from one another. The blocking walls, and each of the blocking walls and the annular structure surrounding the sector mesa are connected to each other.

Abstract: A method for generating a user interface is described. A script file for a software component is received, the software component being configured by source code that specifies a plurality of variables for the software component. The script file is parsed for markup language that describes a graphical user interface for the plurality of variables of the software component. A graphical user interface for modifying values of the plurality of variables of the software component is automatically generated using the markup language.

Abstract: A monolithically and heterogeneously integrated micro-light-emitting diode (microLED) display chip includes the following parts from bottom to top: an LED epitaxial wafer, an isolation layer, a two-dimensional (2D) thin-film transistor (TFT) drive array. The LED epitaxial wafer is provided with a microLED column display array. The 2D TFT drive array is connected to the microLED column display array through a metal column array. A top-gate field-effect transistor (FET) or a back-gate FET is used as a 2D TFT. A channel layer of the 2D TFT is made of a 2D layered material. The vertical monolithic heterogeneous integration is achieved through a drive circuit defined by a microLED column array on the epitaxial wafer and the 2D TFT matrix. A preparation method of the monolithically and heterogeneously integrated microLED display chip is provided.

Abstract: A Micro-LED array device based on III-nitride semiconductors and a method for fabricating the same are provided. The Micro-LED array device includes arrayed sector mesa structures that are formed by etching to penetrate through a p-type GaN layer and a quantum-well active layer and deep into an n-type GaN layer, a p-type electrode array deposited by evaporation on the p-type GaN layer of sector arrays, and an n-type electrode array deposited by evaporation on the n-type GaN layer. The n-type electrode array forms blocking walls to isolate the sector mesas from one another. The blocking walls, and each of the blocking walls and the annular structure surrounding the sector mesa are connected to each other.