Advanced New Technologies Co., Ltd.

Zhejiang University

Bei Liu

Liang Zhang

Yong He

Guolai Ma

Tian Chen

Yicong Fan

Han Mei

Jing Li

Xin Zhang

Daliang Guo

Huifang Zhao

Qianyu Sun

Jinhua Lei

Yahui Meng

Lizheng Sha

Yinchao Xu

Tianzhong Yuan

Ziyang Chang

Disclosed is a preparation method of double-layer carbon-paper base paper with high uniformity and gradient pores, including adding carbon fibers to alkali lignin aqueous solution for treatment, controlling the alkali lignin aqueous solution to reach subcritical water conditions, and modifying the carbon fibers by sodium phenol reactive groups under the subcritical water conditions of the alkali lignin, for improving hydrophilic groups on a surface of the carbon fibers and a surface rough structure; further, modifying the carbon fibers to produce carbon nanotube clusters on the surface of the carbon fibers to obtain surface-thermally-modified carbon fibers, and adding the surface-thermally-modified carbon fibers to a dispersant for dispersion, stirring together with auxiliary materials to prepare a mixed slurry, and preparing the mixed slurry into the carbon-paper base paper by wet forming process.

Preparation method of double-layer carbon-paper base paper with high uniformity and gradient pores

A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Method and device for voice broadcast

A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

Predicting future user transactions

Growing community of inventors

Hangzhou, China

Bei Liu