Boe Technology Group Co., Ltd.

China Institute of Water Resources and Hydropower Research

China Three Gorges Corporation

Beijing Boe Display Technology Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Kunlunxin Technology (beijing) Company Limited

Zhao Zhang

Yanqing Chen

Wei Li

Hao Wang

Chao Wang

Weida Qin

Huichao Dai

Heng Yang

Zhaohui Yang

Xiaohui Lei

Yongnan Zhu

Jian Zhang

Jian Qiao Sun

Hao Liu

Yan Wang

Jing Li

Jiantao Liu

Zhen Wang

Ning Wang

Li Tian

Han Zhang

Wei Yan

Feng Yang

Biqi Li

Kaixuan Wang

Jiguo Wang

Wenwen Qin

Yadong Zhang

Deshuai Wang

Liang Tian

Xiaoyan Yang

Xiaofeng Zhang

Yue Shan

Ruichen Zhang

Yanni Liu

Lingzhong Kong

Disclosed is a display panel including a first substrate which includes a first base substrate and a black matrix layer disposed on the first base substrate, and a second substrate which includes a second base substrate and multiple first signal lines disposed on the second base substrate. The black matrix layer includes multiple first body structures corresponding to the multiple first signal lines and a first compensation structure is provided on one side of at least one first body structure. In a curved surface where the first substrate is located, the first body structure and the first compensation structure extend along the second direction and are arranged along the fourth direction. An orthographic projection of any one of the first signal lines on the second substrate is located within a range of orthographic projections of a corresponding first body structure and a first compensation structure on the second substrate.

Display panel and display apparatus

A method for predicting and controlling a water level of a series water conveyance canal on the basis of a fuzzy neural network is disclosed. The method includes: performing the relationship between a sluice opening degree and an open canal control water level by means of a fuzzy neural network, and constructing an upstream water level controller of a coupled predictive control algorithm; solving an optimal control rate of the upstream water level controller using a gradient optimization algorithm on the basis of a control target of the upstream water level controller; and generating a control strategy by collecting actually measured water level change information and multiplying the actually measured water level change information by the optimal control rate on the basis of the solved optimal control rate, thereby fulfilling the object of predicting and controlling the water level.

Method for predicting and controlling awater level of a series water conveyance canal on a basis of a fuzzy neural network

A real-time abnormity-diagnosing and interpolation method for water regime-monitoring data relates to the technical field of monitoring water regime. This method includes the following steps: acquiring water regime-monitoring data, drawing a box plot, recognizing and diagnosing abnormal data in real time based on the box plot, performing grey correlation analysis on other variables related to a predictor variable, building a BP neural network model and making training, applying the BP neural network model to predict water regime-monitoring data in real time, and performing abnormity diagnosis and data interpolation. Adopting this method, we can effectively enhance predicting and monitoring the water regime-monitoring data in real time, and diagnose abnormal data and make interpolations in time, thereby improving the reliability of data, objectively reflecting water regime changes, and effectively guiding engineering scheduling.

Real-time abnormity-diagnosing and interpolation method for water regime-monitoring data

Provided are a method and an apparatus for testing AI chip computing performance, and a non-transitory computer-readable storage medium. The method includes: forming computing performance result data of a to-be-tested AI chip according to a plurality of items of simulation data formed in a development process of the to-be-tested AI chip; acquiring a function instruction set matched with a to-be-tested service function, wherein the function instruction set is composed of a plurality of instructions in a standard instruction set matched with the to-be-tested AI chip; and predicting computing time required by the to-be-tested AI chip to execute the to-be-tested service function according to the function instruction set and the computing performance result data.

Method and apparatus for testing AI chip computing performance, and non-transitory computer-readable storage medium

An array substrate includes: a first substrate (), including a plurality of sub-pixel regions () arranged in an array along a row direction (X) and a column direction (Y); a pixel circuit layer, including a plurality of sub-pixel circuits; a planarization layer (), provided with a first via hole () located in the sub-pixel regions (), and includes at least one pattern portion (), the pattern portion () includes a plurality of pattern units () arranged in an array along the row direction (X) and the column direction (Y); and a reflective electrode layer, wherein the reflective electrode layer includes a plurality of reflective electrodes () that are mutually disconnected, each of the reflective electrodes () is located in one of the sub-pixel regions () and is electrically connected to the sub-pixel circuit through the first via hole ().

Array substrate, display panel and electronic device

A display panel and a display device are provided. The display panel includes a first base substrate; a second base substrate opposite to the first base substrate; a liquid crystal layer between the first and second base substrates; a first alignment film at a side of the first base substrate facing the liquid crystal layer; a second alignment film at a side of the second base substrate facing the liquid crystal layer; a polarizer at a side of the first base substrate away from the liquid crystal layer; and a quarter-wave plate between the polarizer and the first base substrate. An angle between a center line of an included angle between the first alignment direction of the first alignment film and the second alignment direction of the second alignment film and a slow axis of the quarter-wave plate is in a range from 75 to 105 degrees.

Display panel and display device

A method of manufacturing an array substrate, includes: providing a substrate; forming a gate conductive layer including at least one first alignment mark; forming a source-drain conductive thin film; aligning a first mask and the substrate on which the gate conductive layer and the source-drain conductive thin film have been formed according to the at least one first alignment mark; patterning the source-drain conductive thin film by using the first mask to form at least one second alignment mark to obtain a source-drain conductive layer; forming a black matrix thin film; aligning a second mask and the substrate on which the gate conductive layer, the source-drain conductive layer and the black matrix thin film have been formed according to the at least one second alignment mark; patterning the black matrix thin film by using the second mask to form a black matrix; and forming a color filter layer.

Array substrate and method of manufacturing the same, and display apparatus

Growing community of inventors

Beijing, China

Zhao Zhang