Boe Technology Group Co., Ltd.

Beijing Boe Display Technology Co., Ltd.

Vmware, Inc.

Lemon Inc.

Via Alliance Semiconductor Co., Ltd.

Huawei Technologies Co., Limited

Chinese Academy of Sciences

China Petroleum & Chemical Corporation

Future Wei Technologies, Inc.

Lenovo (beijing) Limited

Beijing Bytedance Network Technology Co., Ltd.

Beijing Zitiao Network Technology Co., Ltd.

Chongqing Boe Optoelectronics Technology Co., Ltd.

Beihang University

Shanghai Zhaoxin Semiconductor Co., Ltd.

Xu Wang

Donghai Han

Yan Yan

Qiong Wang

Jing Liu

Jingna Sun

Weihong Zeng

Yu Ma

Chris X Cheng

Xiongwen Yang

Qiao Huang

Chunpong Lai

Shen Sang

Fan Yang

Qi Wang

Tingting Wang

Jiaqing Yu

Peng Cheng

Benli Ye

Peibin Chen

Bin Huang

Yu Liu

Hong Li

Linjie Luo

Liang Sun

Xiaofeng Yin

Zhan Gao

Jia Wang

Jianpeng Yue

Aimin Liang

Delai Zheng

Fengguang Qiu

Zhiqiang Ma

Bao Zhang

Weiman Kong

Qibo Feng

Shanwei Yang

Chi Ma

Guoxian Song

Tao Gong

Yun Wu

Jie Pan

Jia Cheng

Sheng Luo

Jie Qin

Shengjia Wang

Chenjia Gao

Volodymyr Glamazdin

Yu Zhang

Yang Liu

Jian Zhang

Kai Liu

Meng Wang

Xiao Wang

Yu Feng

Yongzhi Song

Weitao Chen

Yan Zhao

Zhenfei Cai

Hui Guo

Ye Wy Wang

Bo Zhou

Qi Wu

Chen Tian

Feng Pan

Da Wan

Jiaxiang Ren

Jinxing Hu

Yuping Wei

Zhaohui Hao

Chuang Zhang

Marvin Allen Gregory

Nan Liu

Zhenzhou Yang

Huiyan Li

Bo Yang

Chunhua Wang

Guojing Ma

Jianhua Guo

Mengdi Wang

Ming Shu

Wenjun Shan

Hailong Sun

Feng Ye

Guopeng Wang

Xinghua Hu

Tiancheng Zhi

Fengquan Huang

Javier Davila

Shan Lu

Shen Chi Chen

Song Cheng

Pijian Jia

Hu Peng

Kevin Waddell

Xizhe Li

Feifei Yang

Chaoqiang Liu

Hongtao Liu

Zhengdong Xi

Described are a self-healing composition, and a preparation method for and an application of the composition. The composition is of a core-shell structure; the core contains a hydrogenated styrenic thermoplastic elastomer polymer and an inorganic filler; the shell contains a hydrophilic polymer; the composition has a density of 1.2-2 g/cm, a water contact angle of no more than 90°, and a diesel oil and/or natural gas absorption expansion ratio of 5-15 times. By coating the hydrogenated styrenic thermoplastic elastomer and the inorganic filler with the hydrophilic (surface polarized) polymer, a core-shell structure is formed. When the composition is used for well cementing in an oil/gas field, the composition has a density and compatibility matching cement mortar and thus can form a uniform and stable cement slurry for well cementing in the oil/gas field, and has excellent oil/gas absorption expansion performance and thus can expand after absorbing oil/gas to perform self-healing.

Composition, preparation method for and application of composition, and self-healing method for well cementing in oil/gas field

Storage rack

A display substrate, including: a substrate; and a plurality of data lines each extending in a first direction, a touch layer, and a plurality of touch signal lines, sequentially arranged away from the substrate, wherein the touch layer includes a plurality of touch electrodes configured to be multiplexed as common electrodes, and each touch electrode includes a plurality of touch sub-electrodes electrically connected to each other; wherein the touch sub-electrodes are arranged in an array along the first direction and a second direction, a first slit is between any two adjacent touch sub-electrodes along the second direction, and orthographic projections of the first slit and a corresponding data line on the substrate overlap each other; the touch signal lines are connected to the touch electrodes, and an orthographic projection of at least one touch signal line on the substrate covers the orthographic projection of the first slit on the substrate.

Display substrate, display panel and display apparatus

An array substrate includes: a substrate; a sub-pixel, wherein the sub-pixel is located on the substrate, and the sub-pixel includes a pixel electrode and a common electrode, an orthographic projection of the pixel electrode on the substrate at least partially overlap an orthographic projection of an opening area of the sub-pixel on the substrate, and an orthographic projection of the common electrode on the substrate at least partially overlaps the orthographic projection of the opening area of the sub-pixel on the substrate; and a touch signal line, wherein the touch signal line is located on the substrate, and an orthographic projection of the touch signal line on the substrate partially overlaps the orthographic projection of the opening area of the sub-pixel on the substrate; the touch signal line, the common electrode and the pixel electrode are stacked in sequence along a direction away from the substrate.

Array panel, and display device having touch signal line, common electrode and pixel electrode sequentially stacked and overlapping sub-pixel opening area

An array substrate, a manufacturing method and a display device. The array substrate includes: a base substrate; a plurality of gate lines and a plurality of data lines; a plurality of touch signal lines; a plurality of touch electrodes; a plurality of pixel electrodes; and an insulation layer. The touch signal line and a transparent conductive layer where the pixel electrode is located are arranged at a side of the insulation layer away from a transparent conductive layer where the touch electrode is located, an orthogonal projection of the pixel electrode onto the base substrate is separated from an orthogonal projection of the touch signal line onto the base substrate to be insulated from each other, and each touch electrode is coupled to at least one touch signal line through a via hole in the insulation layer.

Array substrate, manufacturing method and display device

A method of generating a stylized 3D avatar is provided. The method includes receiving an input image of a user, generating, using a generative adversarial network (GAN) generator, a stylized image, based on the input image, and providing the stylized image to a first model to generate a first plurality of parameters. The first plurality of parameters include a discrete parameter and a continuous parameter. The method further includes providing the stylized image and the first plurality of parameters to a second model that is trained to generate an avatar image, receiving, from the second model, the avatar image, comparing the stylized image to the avatar image, based on a loss function, to determine an error, updating the first model to generate a second plurality of parameters that correspond to the first plurality of parameters, based on the error, and providing the second plurality of parameters as an output.

Cascaded domain bridging for image generation

An array substrate includes: a base substrate, a light shielding layer on a first surface of the base substrate, and a plurality of pixel units and a first common electrode bus on a second surface of the base substrate. The base substrate includes a display region, first and second peripheral regions. Orthographic projections of the pixel units on the base substrate are arranged in an array in the display region. At least part of an orthographic projection of the light shielding layer and at least part of an orthographic projection of the first common electrode bus on the base substrate are in the second peripheral region, and the first common electrode bus is electrically connected to the common electrode included in at least one pixel unit. A distribution density of the first common electrode bus in the first peripheral region is smaller than that in the second peripheral region.

Array substrate and display device

Methods and systems for enlarging a stylized region of an image are disclosed that include receiving an input image, generating, using a first generative adversarial network (GAN) generator, a first stylized image, based on the input image, normalizing the input image, generating, using a second generative adversarial network (GAN) generator, a second stylized image, based on the normalized input image, blending the first stylized image and the second stylized image to obtain a third stylized image, and providing the third stylized image as an output.

Agilegan-based stylization method to enlarge a style region

The present disclosure provides a training method and device for an image identifying model, and an image identifying method. The training method comprises: obtaining image samples of a plurality of categories; inputting image samples of each category into a feature extraction layer of the image identifying model to extract a feature vector of each image sample; calculating a statistical characteristic information of an actual distribution function corresponding to each category according to the feature vector of each image sample of the each category; establishing an augmented distribution function corresponding to the each category according to the statistical characteristic information; obtaining augmented sample features of the each category based on the augmented distribution function; and inputting feature vectors of the image samples and the augmented sample features into a classification layer of the image identifying model for supervised learning.

Training method and device for image identifying model, and image identifying method

A drill bit for cutting formation comprises a bit body, a plurality of cutters, and a plurality of blades with pockets to accommodate the cutters, respectively. In an embodiment, the plurality of cutters comprise a substrate, an ultra-hard layer, a concave surface on the top of the ultra-hard layer, wherein the concave surface comprises a plurality of planar and curved surfaces.

Cutting elements with reduced variable back rake angle

A method is provided for evaluating an effect of classifying a fuzzy attribute of an object, the fuzzy attribute referring to an attribute, a boundary between two similar ones of a plurality of categories of which is blurred, wherein the method includes: generating a similarity-based ranked confusion matrix, which comprises: based on similarities of K categories of the fuzzy attribute of the object, ranking the K categories, where K is an integer greater than or equal to 2, generating a K×K all-zero initialization matrix, wherein an abscissa and an ordinate of the initialization matrix respectively represent predicted values and true values of the similarity-based ranked categories of the fuzzy attribute, and based on the true values and the predicted values of the category of the fuzzy attribute for the multiple object samples, updating values of corresponding elements in the initialization matrix; and displaying the similarity-based ranked confusion matrix.

Method and device for evaluating effect of classifying fuzzy attribute

Disclosed is a sorting machine, comprising a rack, two rail units which are both mounted on the rack and are symmetrical to each other, and a sorting cart. The rail units comprise: a transverse rail assembly, wherein the transverse rail assembly comprises a plurality of transverse rails and a plurality of reversing mechanisms, and the transverse rails and the reversing mechanisms are alternately arranged along a straight line; and a plurality of vertical rails which are parallel to each other, wherein the vertical rails and the reversing mechanisms are arranged in one-to-one correspondence. The sorting cart is switched to a rail by means of the reversing mechanisms, and a conveying direction of a conveying assembly is different from a traveling direction of the sorting cart.

Sorting machine

An image processing method includes acquiring a set of image samples for training an attribute recognition model, wherein the set of image samples includes a first subset of image samples with category labels and a second subset of image samples without category labels; training a sample prediction model using the first subset of image samples, and predicting categories of the image samples in the second subset of image samples using the trained sample prediction model; determining a category distribution of the set of image samples based on the category labels of the first subset of image samples and the predicted categories of the second subset of image samples; and acquiring a new image sample if the determined category distribution does not conform to the expected category distribution, and adding the acquired new image sample to the set of image samples.

Image processing method, image processing device and computer readable medium, for acquiring image sample data for training an attribute recognition model

The hybrid battery system includes a primary battery pack, a secondary battery pack, a battery control unit, a battery pack positive terminal, and a battery pack negative terminal. The battery control unit includes a management module and a variable resistor. The primary battery pack supplies power at lower temperatures, while the secondary battery pack supplies power at higher temperatures. The primary battery pack is unsafe at higher temperatures, and the primary cells within the primary battery pack are modified to mitigate the dangers that previously rendered the primary battery pack unusable in a hybrid battery pack at higher temperatures. The invention includes the method of safely operating the hybrid battery system with the modified primary battery cells of the primary battery pack.

Hybrid battery pack system

A polarizing device and a method for manufacturing the polarizing device, a display panel and a display device are provided. The polarizing device comprises a first polarizing layer and at least two second polarizing layers, wherein each of two sides of the first polarizing layer is provided with respective at least one of the second polarizing layers; a light transmission axis of the first polarizing layer is parallel to the first polarizing layer, a phase delay axis of the second polarizing layer is parallel to the second polarizing layer, an orthographic projection of the light transmission axis onto the first polarizing layer intersects with an orthographic projection of the phase delay axis onto the first polarizing layer to form an included angle, the included angle is configured to convert linear polarized light incident on the polarization assembly into polarized light emitted from the polarization assembly.

Polarizing device and method for manufacturing polarizing device, display panel, and display device

Growing community of inventors

Beijing, China

Xu Wang