Boe Technology Group Co., Ltd.

Beijing Boe Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Chinese Academy of Sciences

Beijing Boe Technology Development Co., Ltd.

Beihang University

University of Science and Technology Beijing

Southern University of Science and Technology

Beijing University of Aeronautics and Astronautics

Beijing Boe Technology Co., Ltd.

Beijing Roborock Innovation Technology Co., Ltd.

Shenzhen Photonfluid Technology Co., Ltd.

Mcc Capital Engineering & Research Incorporation Limited

Ceri Technology Company Limited

Yanjun Liu

Liguang Deng

Bangcan Xue

Dong Zhang

Tao Jia

Jia Meng

Wenfeng Jin

Ming Zhai

Jie Tian

Jian Bai

Shuo Li

Yu Liu

Hui Sun

Xiaoliang Fu

Yu An

Qingqing Ma

Shuqian Dou

Zhiqiang Fan

Yinan Gao

Yang Liu

Jun Liu

Hao Wu

Xiao Ming Ma

Zheng Zhang

Wei Xu

Rui Guo

Guangquan Wang

Chi Zhang

Jiaqiang Wang

Litao Fan

Bowen Liu

Site Cai

Wei Fang

Ting Tian

Gang Ci

Bing Bai

Yufei Liu

Xin Feng

Libao Cui

Haoran Zhang

Dayong Zhou

Hui Hui

Zuliang Wang

Bin Fu

Zhehua Long

Taesung Kang

Jinmiao Tang

Tianjiao Wang

Meijuan An

Jinge Zhao

Junpeng Han

Yin Yuan

Hongqiang Ji

Feiwu Yuan

Hongming Liu

Yongjie Han

Xuanhui Qu

Ce Zhang

Yanchun Zhu

Chengyu Jiang

Yimeng Li

Tenghao Li

Guanghui Li

Jing Zhong

Youcai Yang

Zhongjun Wang

Yaoqin Xie

Xuewen Cao

Zongxin Dou

Lin Yin

Jiawei Wang

Jinming Yao

Dang Yang

Xin Lu

Yu Pan

Zhenyu Liang

Yili Chen

Biyi Lin

Yuping Wang

Jiazhen Zhang

Jianzhuo Sun

Yanbin Liang

Yucheng Yang

Qiong Du

Yinqi Liu

Lizhi Xiang

Mengjia Cen

Zixi Qi

Yonggang Xie

Rongmao Li

Shanshan Zang

Mingmin Chen

Yating Zhou

Wen Han

Xikang Zhou

Jijun Ren

Jianning Cao

An electromagnetic wave control apparatus includes an upper electrode layer, a lower electrode layer, a liquid crystal layer, and a first metamaterial layer disposed between the upper electrode layer and the lower electrode layer. The first metamaterial layer includes a first array including alignment unit structures. A first surface of the alignment unit structure is a surface that is of the alignment unit structure and that faces away from the liquid crystal layer. A length-to-width ratio of the first surface of the alignment unit structure is greater than 1. A length of the first surface, a width of the first surface, and a spacing between two adjacent alignment unit structures range from 1 nm to 5000 nm.

Electromagnetic wave control apparatus

A carpet recognition method for a robot cleaner. The robot cleaner comprises a sleeve and an ultrasonic sensor, wherein the ultrasonic sensor is fixed in the sleeve. The recognition method comprises: controlling the ultrasonic sensor to vertically transmit an ultrasonic signal to the current ground, and to receive an actual echo signal reflected by the current ground; and determining whether the actual echo signal is different from the standard echo signal of the normal ground, and if so, recognizing the current ground as a carpet surface.

Carpet recognition method applicable to robot cleaner

The present invention provides a high-strength and high-plasticity titanium matrix composite and a preparation method thereof. The preparation method includes: preparing high-oxygen hydride-dehydride titanium powder using a high-temperature rotary ball grinding treatment process, in which the prepared hydride-dehydride titanium powder has a particle size of 10-40 μm, and has an oxygen content of 0.8-1.5 wt. %; preparing high-purity ultra-fine oxygen adsorbent powder using a wet grinding method of high-energy vibration ball grinding treatment process; in which a purity of the oxygen adsorbent powder is ≥99.9%, and a particle size of the oxygen adsorbent powder is ≤8 μm; mixing the high-oxygen hydride-dehydride titanium powder with the oxygen adsorbent powder in a protective atmosphere, and then press-forming the powder obtained after mixing to obtain a raw material blank; and performing atmosphere protective sintering treatment on the raw material blank to obtain a titanium matrix composite. The method prepares a titanium matrix composite reinforced by in-situ self-generating multi-scale Ca—Ti—O, TiC, TiB particles. The microstructure and grains are effectively refined, and the strength and plasticity of the material are significantly improved.

High-strength and high-plasticity titanium matrix composite and preparation method thereof

An information management method, a device, a system and a medium. The information management method applied to a first terminal, including: sending an information acquisition request to a server, so that the server responds to the information acquisition request and sends visitor information to the first terminal; receiving the visitor information sent by the server; generating card information according to the visitor information; and sending the card information to an electronic card, so that the electronic card displays the card information.

Information management method, device, system and medium

A three-dimensional (3D) magnetic particle imaging (MPI) method and system without rotating a field-free line (FFL) are disclosed. In accordance with the method, an FFL is generated such that magnetic particles in a region far from the FFL enter a magnetic saturation state. Further, a non-uniform mixed-frequency excitation magnetic field parallel to the FFL is applied to generate intermodulation response signals. In addition, the intermodulation response signals are acquired, amplified and filtered. Moreover, the intermodulation response signals are transmitted to a digital signal processing unit and an image reconstruction unit, and an encoding matrix is constructed. Additionally, a one-dimensional (1D) concentration distribution of the magnetic particles is reconstructed based on the encoding matrix and an actually measured voltage signal. The FFL is driven for line-by-line scanning along a vertical plane of the FFL, thereby achieving 3D imaging.

Three-dimensional (3D) magnetic particle imaging (MPI) method and system without rotating field-free line (FFL)

Disclosed are an electronic signboard and a wall hanging device. The electronic signboard includes a display device and a wall hanging device. The display device is provided with a first fitting portion, and the wall hanging device is provided with a second fitting portion detachably connected to the first fitting portion. The wall hanging device is further provided a fixing surface via which the wall hanging device is fixed to a mounting base.

Electronic signboard and wall hanging device

The present disclosure belongs to a field of biomedical imaging technology, and in particularly to a non-uniform excitation field-based method and system for performing a magnetic nanoparticle imaging. The present disclosure includes: separating the non-uniform excitation field into independent space and current time functions by a spatialtemporal separation method; calculating a normalized signal peak through the current time function; constructing a reconstruction mathematical model based on the normalized signal peak and an imaging subunit volume; and quantitatively reconstructing a spatial distribution of a nanoparticle by combining the normalized signal peak, a non-uniform spatial function of the excitation field and the reconstruction mathematical model, so as to achieve the magnetic nanoparticle imaging of a to-be-reconstructed object.

Non-uniform excitation field-based method and system for performing magnetic nanoparticle imaging

A method for determining a sending period of a packet in a deterministic network and an apparatus are disclosed. The method includes: receiving a first packet; determining a first period, where the first period is a sending period of the first packet; determining timestamp information of the first packet based on the first period, where the timestamp information is used to indicate a time difference between a first time and a second time, the first time is a time at which the first packet starts to be sent in the first period, and the second time is a start time of the first period; encapsulating the timestamp information into the first packet to obtain a second packet; and sending the second packet.

Method for determining sending period in deterministic network and apparatus

Provided is a display module, including: a shell; a display panel, wherein the display panel is disposed in the shell and is connected to the shell; a first light emitting component, wherein the first light emitting component is connected to the display panel and is configured to emit light of a target wavelength; and a fingerprint recognition sensor, wherein the fingerprint recognition sensor is disposed between the shell and the display panel and is fixedly connected to the shell; an orthographic projection of the fingerprint recognition sensor onto the display panel and an orthographic projection of the first light emitting component onto the display panel do not overlap; and the fingerprint recognition sensor is configured to recognize a fingerprint based on received light of the target wavelength reflected by an obstacle.

Display module and method for manufacturing same, and display device

The present disclosure relates to an assisted exoskeleton rehabilitation device, comprising: a back structure comprising a back crossbeam, a back supporting panel with an adjustable length, and a shoulder pneumatic muscle element mounted on the back supporting panel; an arm structure; a shoulder joint assembly, by which the arm structure is connected to an upper end of the back structure; and a waist structure. An upper end of the back supporting panel is fixedly connected to the back crossbeam, and a lower end thereof is fixedly connected to the waist structure. The shoulder joint assembly comprises a curved shoulder joint connecting panel, a shoulder traction wheel, a shoulder traction line, a first hinge mechanism and a second hinge mechanism. One end of the shoulder joint connecting panel is connected to the upper end of the arm structure by the first hinge mechanism to form a bend-stretch revolute pair of the shoulder joint, and the other end of the shoulder joint connecting panel is connected to the back crossbeam by the second hinge mechanism to form an abduction-adduction revolute pair and a medial rotation-lateral rotation revolute pair of the shoulder joint assembly, and the shoulder traction wheel is fixed to the upper end of the arm structure. The shoulder traction line is connected at one end to the shoulder traction wheel, and connected to the shoulder pneumatic muscle element at the other end.

Assisted exoskeleton rehabilitation device

A rehabilitation training apparatus and a rehabilitation training system are disclosed. The rehabilitation training apparatus includes a powertrain, a pneumatic flexible actuator and a receiving portion. The powertrain is coupled to the pneumatic flexible actuator and configured to rotate upon drive of the pneumatic flexible actuator. The receiving portion is coupled to the powertrain and configured to receive a training portion and be interlocked with rotation of the powertrain.

Rehabilitation training apparatus and rehabilitation training system

A magnetic particle imaging method based on a non-ideal Field Free Point (FFP), including the following steps: setting external magnetic field conditions of a non-ideal FFP and an ideal FFP, and obtaining a magnetization vector M of Superparamagnetic Iron Oxide Nanoparticles (SPIOs) and a Point Spread Function (PSF) in combination with a Langevin function; obtaining a signal feature on basis of a voltage signal of a detection coil of a Magnetic Particle Imaging (MPI) instrument; performing integral transformation on the voltage signal collected by the detection coil of the MPI instrument to obtain a voltage signal of an equivalent ideal FFP; averaging the moving speed of an FFP of the MPI instrument to obtain a moving speed of the equivalent ideal FFP; obtaining an equivalent Three-Dimensional concentration reconstruction image on basis of the voltage signal of the equivalent ideal FFP and a moving speed of the equivalent ideal FFP.

Magnetic particle imaging method based on non-ideal field free point

A training apparatus is disclosed, comprising: a top structure, a bottom structure, and a traction structure disposed between the top structure and the bottom structure, and wherein the traction structure is configured to be retractable along an axial direction of the top or bottom structure to achieve relative movement between the top structure and the bottom structure.

Training apparatus

A hand rehabilitation device, a rehabilitation training device, and a method for controlling the same are disclosed, and the hand rehabilitation device includes a hand rehabilitation component including: a glove; a hand pneumatic muscle group including at least one finger pneumatic muscle component, wherein a back of each finger sleeve in the glove is installed with at least one of the at least one finger pneumatic muscle component; and a stopper which is connected with each finger sleeve and a side of each of the at least one finger pneumatic muscle component facing a corresponding finger sleeve.

Hand rehabilitation device, rehabilitation training device and method for controlling the same

A finger exoskeleton robot includes a support plate, at least one finger mechanism, and a temperature control system. Each of the finger mechanisms includes a plurality of finger sleeves and joint drivers. The sleeves of the finger mechanism are sequentially arranged at a distance and configured to be correspondingly worn on a plurality of knuckles of the user's fingers. Every two finger sleeves adjacent to each other of the finger mechanism are connected by one joint driver. The support plate and one of the finger sleeves closest to the support plate are connected by one joint driver. The joint driver is switched between a flat state and a curved state when the temperature of the joint drivers is higher than or lower than a phase change temperature value. A temperature control system is electrically connected to the respective joint drives and respectively controls the temperature of the joint drivers.

Finger exoskeleton robot

Growing community of inventors

Beijing, China

Yanjun Liu