Boe Technology Group Co., Ltd.

Beijing Bytedance Network Technology Co., Ltd.

Hefei Boe Display Technology Co., Ltd.

China National Institute of Standardization

Qian Zhou

Ming Wang

Tao Li

Chao Zhang

Zhe Wang

Ke Dai

Xiaofeng Yin

Qing Ql Li

Liugang Zhou

Jianwei Sun

Yizhan Han

Yulong Xiong

Liu He

Yunyun Liang

Zhenlin Qu

Yu Quan

Pengjun Fang

Ying Qu

Shuai Huang

Fengjiao Xu

Xiangcheng Meng

Wan Wang

Dehua Guo

Tingxin Qin

The present disclosure provides a data processing method and apparatus, a computer device and a storage medium. The method comprises: receiving a query instruction for data to be queried stored in a data file system; in response to the query instruction instructing to perform online query on the data, determining index information corresponding to the data, and querying the data in the data file system on the basis of the index information; and in response to the query instruction instructing to perform offline query on the data, determining address information of the data in the data file system on the basis of a keyword of the data, and querying the data in the data file system on the basis of the address information.

Data processing method and apparatus, computer device and storage medium

Disclosed are an auxiliary decision-making method and system for urban subway waterlogging risk disposal based on a Bayesian network. The method includes: acquiring waterlogging data and basic data of a target city subway, preprocessing the waterlogging data, obtaining first evaluation data and second evaluation data from the preprocessed waterlogging data, performing risk assessment on the first evaluation data and the second evaluation data according to risk degrees to obtain a risk value, adjusting the risk value according to the monitoring data to determine a risk degree, and constructing an auxiliary decision-making model for waterlogging risk disposal according to the risk level to optimize the auxiliary decision-making for waterlogging risk disposal. The method not only can improve the accuracy of auxiliary decision-making for urban subway waterlogging risk disposal, but also has good interpretability, and can be directly applied to the auxiliary decision-making system for urban subway waterlogging risk disposal.

Auxiliary decision-making method for urban subway waterlogging risk disposal based on Bayesian network

A display driving device, a display driving method, a display module and a display device are provided. The display driving device includes: a PWM signal generating circuit configured to generate a PWM signal; a PWM signal acquisition circuit, configured to identify whether the PWM signal output by the PWM signal generating circuit is at a high level or a low level; a gamma voltage debugging circuit, configured to debug a gamma voltage to obtain a first group of gamma voltage reference data corresponding to the PWM signal at the high level and a second group of gamma voltage reference data corresponding to the PWM signal at the low level in each gray-scale image; and a gamma voltage switching circuit.

Display driving device, display driving method, display module and display device

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Beijing, China

Qian Zhou