Shenzhen China Star Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Oto Industry (wuhan) Co., Ltd.

Ping an Technology (shenzhen) Co., Ltd.

Shanghai United Imaging Healthcare Co., Ltd.

Tristar Products, Inc.

Cheer Master Trading, Ltd.

Other

Zte Corporation

Trane International Inc.

Fudan University

Parade Technologies, Ltd.

Grg Banking Equipment Co., Ltd.

Shanghai Hua Hong Nec Electronics Company, Limited

Comnav Technology Ltd.

Liang Jie Xu

Jing Jing Xiao

Le Yang

Wanli Teng

Yang Hu

Yecheng Han

Jie Niu

Hanyu Wang

Ge Jin

Song Yang

Yu Huang

Kai Cui

Yueyan Bian

Songlin Li

Pengbo Tian

Kunchang Yang

Yongchao Pan

Bitao Li

Dong Ye

Qingyun Wang

Jian Li

Yang Gao

Jun Wang

Zhongfeng Li

Jing Wen Wang

Nevenka Dimitrova

Kai Xu

Nan Wang

Bin Wang

Hui Li

Yi Zhou

Yuan Wx Li

Chengming He

Yongzhao Cao

Tao Liu

Xiaolu Wang

Na Zhang

Ning Wu

Juan Feng

Angel Janevski

Guangyu Shen

Haihua Zhou

Zhigang Wang

Liwen Zhang

Wei Zeng

Lin Zhou

Zhiqiang Sun

Vinay Varadan

Jing Yan

Jian Peng

Ying Wu

Hongquan Wang

Yange Ma

Shurui Zhao

Cheng Li

Xiangdeng Que

Feng Wan

Xiang Yao

Zhibin Wang

Mei Xiong

Yongquan Wang

Chunhui Liu

Fazhi Yin

Qiuzhen Zou

Chongming Zhu

Weiping Xu

Peijian Yan

Xiaohui Jin

Yuhong Dai

Jing Lei

Chungang Wang

Caixia Jin

Chiaming Chuang

Hongguang Zhu

Wilhelmus F J Verhaegh

Yiping Ren

Zhaoyong Li

Quan Cheng

Rong Cao

Zhaogui Li

Zi Wang

Yabing Tang

Maorong Ge

Xingxing Li

Sufei Miao

Ruopu Liu

Yabing Zhu

Qing Yin

Xiaowen Ruan

Zishen Lv

Yong Wei

Qingyuan Zhao

Shumin Zhang

Changcheng Tang

Xiaoyi Cui

Yuqing Du

A detachable shoe cover includes a shoe cover main body having a receiving cavity, an elastic opening edge portion defining an opening provided around a top edge portion of the shoe cover main body, and an interconnection arrangement for interconnecting a plurality of the detachable shoe covers to be installed in a dispenser apparatus. The interconnection arrangement includes a front portion of the shoe cover main body, a rear portion of the shoe cover main body, two front joint perforations provided in the front portion, and two rear joint perforations provided in the rear portion.

Detachable shoe cover and dispenser apparatus therefor

A shoe cover dispenser device for installing a plurality of shoe covers includes a frame, an installation assembly installed on the frame, and the locking assembly installed on the frame and is capable of locking the installation assembly, so that the installation assembly can facilitate the installation of the shoe covers on or the removal of the shoe covers from the installation assembly.

Shoe cover dispenser device

An optical module unlocking apparatus includes: a base, a sliding member, a driving piece, and an elastic piece. The sliding member is slidably disposed on the base along an insertion direction. The driving piece is rotatably connected to the base, the other end of the sliding member is connected to the driving piece, and the driving piece can rotate from a locked state to an unlocked state relative to the base under an action of external force, and drive the sliding member to move relative to the base along the insertion direction. A second connecting part is disposed on the driving piece. Because the driving piece is located outside a cage, space for disposing the elastic piece on the driving piece is sufficient, and the driving piece does not need to fit a spring plate. This simplifies a structure of the optical module and improves processing efficiency.

Optical module unlocking apparatus, optical module, and optical communications device

The application belongs to the field of big data, and particularly relates to an official document processing method, device, computer equipment and storage medium. The method includes the following steps of: performing format analysis on the to-be-reviewed official document, then acquiring the to-be-reviewed official document of standard file type, and identifying all file components and contents in the to-be-reviewed official document of standard file type; performing text format detection, text content detection and frame layout detection synchronously by a preset text processing model, obtaining a format detection result, a content detection result and a layout detection result; generating a detected error content according to the format detection result, content detection result and layout detection result, calling out a standard writing rule corresponding to the detected error content, marking the detected error content and the standard writing rule in the to-be-reviewed official document.

Official document processing method, device, computer equipment and storage medium

The present disclosure provides a system, a method, an electronic device, and a storage medium for identifying risk event based on social information. The system includes an obtaining module configured for obtaining social information released by various predetermined social accounts from a predetermined social server; an analysis module, configured for analyzing the social information to obtain a company name and/or a product name contained in the social information; a resolution module configured for, after the company name and/or product name contained in the social information are obtained, resolving the social information to obtain key point information corresponding to the social information; and an identifying module configured for identifying an information directing classification corresponding to the key point information using a pre-trained classifier such that the social information corresponding to the predetermined information directing classification and the social account releasing the social information are sent to a predetermined terminal.

System, method, electronic device, and storage medium for identifying risk event based on social information

A method for image stitching is provided. The method may include obtaining a reference image of a first portion of a subject and a target image of a second portion of the subject, and determining at least one pair of feature points based on a preliminary registration accuracy. The first and second portions may at least partially overlap with each other. Each pair may include a reference feature point in the reference image and a target feature point in the target image that matches the reference feature point. For each pair, the method may further include determining an updated pair of feature points based on a superior registration accuracy higher than the preliminary registration accuracy and a neighboring region of the target feature point of the pair. The method may further include generating a stitched image based on the at least one updated pair.

Devices, systems, and methods for image stitching

An optical port shielding and fastening apparatus is configured to be installed in the optical module. The optical module includes a housing assembly and an optical component located in the housing assembly. The optical port shielding and fastening apparatus includes a fastener and an electromagnetic wave absorbing piece. The fastener is fastened in the housing assembly. The electromagnetic wave absorbing piece is fastened on a side that is of the fastener and that faces an outside of the housing assembly. A first mounting hole and a second mounting hole are correspondingly provided on the fastener and the electromagnetic wave absorbing piece. The optical component passes through the first mounting hole and the second mounting hole in sequence. This application provides an optical port shielding and fastening apparatus, an optical module, and a communications device, to resolve poor optical port shielding performance of an optical module in the related technology.

Optical port shielding and fastening apparatus, optical module, and communications device

Electric bicycle

The present disclosure relates to the technical field of natural language understanding, and provides a method, a terminal and a medium for generating a text based on a self-encoding neural network. The method includes: obtaining a text word vector and a classification requirement of a statement to be input; reversely inputting the text word vector into a trained self-encoding neural network model to obtain a hidden feature of an intermediate hidden layer of the self-encoding neural network model; modifying the hidden feature according to a preset classification scale and the classification requirement; defining the modified hidden feature as the intermediate hidden layer of the self-encoding neural network model, and reversely generating a word vector corresponding to an input layer of the self-encoding neural network model by the intermediate hidden layer; and generating the corresponding text, according to the generated word vector.

Method and terminal for generating a text based on self-encoding neural network, and medium

A method may include obtaining a breast image of an object that is acquired by an imaging device; determining a projection curve based on the breast image; determining a first valley point and a second valley point of the projection curve; determining a peak point of the projection curve based the first valley point and the second valley point of the projection curve; determining a first valley location, a second valley location, and a peak location in the breast image based on the peak point, the first valley point, and the second valley point of the projection curve; and determining a breast region in the breast image based on the first valley location, the second valley location, and the peak location.

Systems and methods for image processing

The present disclosure relates to systems and methods for image splicing. The systems and methods may acquire a first image and a second image, determine a plurality of first feature points in a first region of the first image, determine a plurality of second feature points in a second region of the second image, then match the plurality of first feature points with the plurality of second feature points to generate a plurality of point pairs. Based on the plurality of point pairs, a third region on the first image and a fourth region on the second image may be determined. Finally, a third image may be generated based on the first image and the second image, wherein the third region of the first image may overlap with the fourth region of the second image in the third image.

System and method for splicing images

The application discloses a method for knowledge extraction based on TextCNN, comprising: S, collecting first training data, and constructing a character vector dictionary and a word vector dictionary; S, constructing a first convolutional neural network, and training the first convolutional neural network based on a first optimization algorithm, the first convolutional neural network comprises a first embedding layer, a first multilayer convolution, and a first softmax function connected in turn; S, constructing a second convolutional neural network, and training the second convolutional neural network based on a second optimization algorithm, the second convolutional neural network comprises a second embedding layer, a second multilayer convolution, a pooling layer, two fully-connected layers and a second softmax function, the second embedding layer connected in turn; S, extracting a knowledge graph triple of the to-be-predicted data according to an entity tagging prediction output by the first trained convolutional neural network and an entity relationship prediction output by the second trained convolutional neural network.

Method, equipment, computing device and computer-readable storage medium for knowledge extraction based on TextCNN

The present invention discloses a flip-chip LED chip used in a backlight and a producing method thereof. The flip-chip LED chip used in the backlight comprises a substrate, an epitaxial layer, a transparent conductive layer, an insulating layer, a first reflecting layer, a second reflecting layer, a first electrode, and a second electrode. In the present invention, the first reflecting layer and the second reflecting layer are formed on both sides of the substrate. By adjusting the reflectance of the first reflecting layer and the second reflecting layer, the light emitted by the epitaxial layer is reflected by the first reflecting layer and the second reflecting layer, resulting in 20-40% of the light being emitted from the back of the chip, and 60-80% of the light being emitted from the side of the chip. This increases the light uniformity of the LED backlight.

Flip-chip LED chip used in backlight and production method thereof

Growing community of inventors

Hanchuan, China

Liang Jie Xu