Shenzhen Poweroak Newener Co., Ltd

Lifetech Scientific (shenzhen) Co., Ltd

Shandong University

Northeastern University

Zte Corporation

Shenzhen China Star Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Other

Hon Hai Precision Industry Co., Ltd.

Tencent Technology (shenzhen) Company Limited

Hong-fu Jin Precision Industry (shenzhen) Co., Ltd.

Shenzhen Yhlo Biotech Co., Ltd.

Peak International Ltd.

Honor Device Co., Ltd.

Huawei Digital Power Technologies Co., Ltd.

Gang Wang

Xiangzhu Yin

Mianzhi Wu

Lixuan Chen

Wei Li

Huaguang Zhang

Jinfeng Li

Qing Feng Zhang

Zhen Liu

James R Thomas

Xin Wang

Bin Hua Liu

Wei Jiang

Fei Yu

Hui Zhang

Bo Huang

Tao Huang

Yu Zhang

Jun Yang

Bin Hu

Yu Liu

Chungen Qian

Hui Li

Deyuan Zhang

Changyong Wang

Benhao Xiao

Xia Li

Weimin Cheng

Tingchao Zhang

Yin Yan Li

Xiaojie Huang

Clifton C Haggard

Liang Zhang

Weifeng Wu

Ding Zhong

Zheng Li

Feng Zhao

Xiuqiang He

Li Liao

Zhenhua Dong

Jia Xu

Hui Yuan

Bin Liu

Bo Chen

Fengguang Qiu

Chun-Wei Pan

Chunjun Ma

Kenji Nagai

Dong Huang

Changliang Liao

Xiaowen Liu

Xinquan Liu

Weiguo Fu

Jian Feng

Zi Li

Gang Zhou

Mingyang Cai

Jianhua Lei

Qiuye Sun

Qing Zhang

Dazhong Ma

Zhiliang Liu

Xinrui Liu

Dongsheng Yang

Junqiang Zhang

Zhifeng Zhang

Jianhui Zhang

Guoliang Huo

Hong Zhu

Linhui Niu

Lulu Sun

Wan-Jun Jiang

Hong Tian

Yandi Wang

Liguo Li

Jinhai Liu

Haiqiang Tian

Kunhui Hu

Yongbo Zhang

Zhixiao Xu

Liang Zhu

Deliang Li

Xiaoguang Li

Qiang Zhan

Dengfeng Li

Xianli Hu

Huihong Zhou

Wen Nie

Gangchao Wang

Shangyun Wang

Qiao Deng

Feng Peng

Zhiliang Wang

Yanhong Luo

Lei Wang

Yuehua Hu

Lin Xin

A camera compact system includes a shape memory alloy (SMA) motor, a lens array, a plurality of magnetic isolation members, and an image sensor, where the SMA motor is configured to move the lens array; and each of the magnetic isolation members is located between the SMA motor and the image sensor to reduce a degree of magnetic interference to a magnetic sensitive electronic component in the camera compact system.

Shape memory alloy motor, motor module, camera compact module, and electronic device

A finish coat composition, including: 30˜60 parts by mass of film-forming resin, where the film-forming resin includes one or more of acrylic resins and polyurethane acrylate resins; 5˜20 parts by mass of acrylate monomer; 1˜10 parts by mass of photoinitiator; 0.5˜10 parts by mass of leveling agent; 0˜20 parts by mass of matting powder; and 20˜50 parts by mass of solvent. This application further provides a composite material, a middle frame of an electronic device. The finish coat composition according to this application can be crosslinked and cured under an action of ultraviolet light to form a finish coat having good reliability and bonding performance, which is used as a finish coat layer of the middle frame of an electronic device and the battery cover of an electronic device, and has good bonding performance with glue, thereby preventing a screen of the electronic device from falling off.

Finish coat composition, composite material, middle frame of electronic device, housing of electronic device, and electronic device

Battery pack

Portable power station

Provided is an intelligent inversion method for pipeline defects based on heterogeneous field signals. The method includes the following steps: firstly, acquiring heterogeneous field signals, performing an abnormality judgement, then correcting base values of the heterogeneous field signals, and performing denoising treatment; padding the denoised heterogeneous field signals corresponding to the pipeline defects, unifying the heterogeneous field signals of different sizes into the heterogeneous field signals of same sizes, and performing a nonlinear transformation on signal amplitudes; designing a sparse autoencoder with an axisymmetric structure, and obtaining primary characteristics of the heterogeneous field signals; classifying the pipeline defects according to lengths, widths and depths to obtain category labels of the pipeline defects; designing a multi-classification neural network to classify the heterogeneous field signals, and extracting deep characteristics containing defect size information; and constructing a random forest regression model to realize intelligent inversion for sizes of the pipeline defects.

Intelligent inversion method for pipeline defects based on heterogeneous field signals

Portable power supply

The present invention relates to A pan-tilt-zoom camera for omni-directional 360-degree-detection, comprising a top cover, wherein the bottom of the top cover is connected to a bottom cover, the top cover is provided with a circuit board inside, an upper end of the top cover is connected to a screw lamp cap, the screw lamp cap is connected to mains electricity to supply power for the circuit board, the bottom cover comprises an inner bracket and an outer bracket, a camera assembly is provided inside the inner bracket and the outer bracket, and the circuit board is electrically connected to the camera assembly; wherein a slide connection apparatus is provided on the inner bracket, the circuit board is electrically connected to the camera assembly through the slide connection apparatus to power on the camera assembly, and the camera assembly controls the slide connection apparatus to perform 360-degree rotation.

Omnibearing surveillance camera

The rotation shaft structure includes a main shaft assembly, and two folding assemblies that are symmetrically disposed with respect to the main shaft assembly. The two folding assemblies may rotate toward or against each other relative to the main shaft assembly. When the folding assembly is specifically disposed, the folding assembly includes a rotation assembly, a support plate, and a housing mounting bracket. The rotation assembly is rotationally connected to the main shaft assembly. The support plate is rotationally connected to the housing mounting bracket and slidably connected to the rotation assembly.

Rotation shaft structure and electronic device

Controller

Micro-inverter

Energy management system controller

A method and an apparatus for training a search recommendation model, and a method and an apparatus for sorting search results are provided. The training method includes: obtaining a training sample set including a sample user behavior group sequence and a masked sample user behavior group sequence; and using the training sample set as input data, and training a search recommendation model, to obtain a trained search recommendation model, where a target of the training is to obtain the object of the response operation of the sample user after the mask processing, the search recommendation model is used to predict a label of a candidate recommendation object in search results corresponding to a query field when a target user inputs the query field, and the label is used to indicate a probability that the target user performs a response operation on the candidate recommendation object.

Method and apparatus for training search recommendation model, and method and apparatus for sorting search results

Growing community of inventors

Shenzhen, China

Gang Wang