Tsinghua University

Hon Hai Precision Industry Co., Ltd.

Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

University of Electronic Science and Technology of China

Lingdong Technology (beijing) Co. Ltd

Google Inc.

Boe Technology Group Co., Ltd.

Fih (hong Kong) Limited

Shenzhen Futaihong Precision Industry Co., Ltd.

Hefei Boe Optoelectronics Technology Co., Ltd.

Shenzhen Goodix Technology Co., Ltd.

Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Sichuan University

Huawei Digital Power Technologies Co., Ltd.

Jie Tang

Shou-Shan Fan

Liang Liu

Peng Liu

Li Qian

Yang Wei

Pi-Jin Chen

Cai-Lin Guo

Bing-Chu Du

Zhao-Fu Hu

Song Li

Jie Yi

Yuan-Chao Yang

Kai-Li Jiang

Qi Cai

Wei Li

Xin Li

Lili Wang

Wu Zhong

Jie Wang

Junhai Xiao

Zhibing Zheng

Juan Liu

Qifeng Ma

Lei-Mei Sheng

Debing Liu

Yang Liu

Bo Gao

Xin Wang

Yang Zhang

Yan Li

Xing Zhang

Yang Yang

Xiaoqian Chai

Jian Ding

Yi Chen

Lin Xiao

Xiaoping Zhang

Yuan Yao

Wei Fan

Shuai Liu

Kepeng Li

Feng Drake Zhu

Quanming Li

Hai-Yan Hao

Weifeng Zheng

Huanhuan Song

Hailiang Wu

Xiaomin Shi

Yaming Tang

Guoliang Hu

Chunlei Liu

Jing Qi

Guangzhang Wu

Ruijun Li

Tong-Feng Gao

Zhixiong He

Jiangshui He

Yaodong Wang

Maodong Sang

Jun Chen

Jiangang Wang

Hong Wen

Yiling Liu

Long Long

Chuang Han

Xiaobo Xie

Jeffrey Chin

Le Zhang

Huan Wang

Ou Qi

Yangli Zheng

Daniel Rosart

Binbin Liu

Jiming Zhang

Hongtao Gao

Fangyi Liu

Hao Ye

Zelidrag Hornung

Xiaoyi Dong

Jieping Zhong

Jianguo Zhu

Kunlun He

Wing Ki Leung

Liang Chen

Qi Shu

Chong Gu

Xingyu Lian

Wenhua Xu

Avni Shah

Zhi Zheng

Baogang Yao

Yupeng Zhang

Xirui Zhang

Yujie Qian

Donghai Qin

Fei Pan

Lanxi Xiang

Qian Liu

Yukun Luo

This application discloses a method for rendering a projection of a main control object in a virtual environment performed by a computer device and relates to the technical field of animation. The method includes: obtaining an original bone model of the main control object from an animation blueprint of the main control object; obtaining a projection model based on the original bone model and a posture of the main control object; generating a projection of the main control object in the virtual environment based on the projection model; and rendering the projection of the main control object in the virtual environment.

Method and apparatus for generating main control object projection, device, and medium

Embodiments of this application disclose an object control method and device, a storage medium, and an electronic device. The method includes: detecting a first operation triggered in a client, the client displaying a virtual scene, and the first operation being used for instructing a target object in the virtual scene to move from one side of a target obstacle to the other side of the target obstacle; determining a target action to be performed by the target object, the target action being determined according to attributes of the target obstacle, and the target action being a crossing type or climbing type action performed by the target object to move from one side of the target obstacle to the other side of the target obstacle; and controlling, in the virtual scene, the target object to perform the target action. The embodiments of this application resolve a technical problem of an undiversified operation manner in an encounter of an obstacle in the related art.

Object control method and device, storage medium, and electronic device

Robotic pool cleaner

A robotic pool cleaner includes a cleaning body, a drive and a cleaning roller brush mechanism. The robotic pool cleaner filters liquid and/or contaminants in a pool through the cleaning body. The drive mechanism is connected to the cleaning body, which is driven to move in the pool in a working process of the robotic pool cleaner. The drive mechanism includes a drive wheel with a first outer ring gear. The cleaning roller brush mechanism is coupled with the first outer ring gear through a transmission belt, so that the cleaning roller brush mechanism is driven by the first outer ring gear to rotate relative to the cleaning body when the drive motor drives the first outer ring gear to rotate. The robotic pool cleaner improves cleaning efficiency and reduces wear of a cleaning roller brush, thereby prolonging the service life of the cleaning roller brush mechanism.

An ultrasound imaging device and system, and an image enhancement method for ultrasound radiography and imaging. Image enhancement coefficients of location points in a examined biological tissue are computed first according to radiography channel data, and then, weighted processing is performed on the image enhancement coefficients and beam forming data.

Ultrasound imaging device and system, and image enhancement method for contrast enhanced ultrasound imaging

Swimming pool cleaning robot

Embodiments of this application disclose an object control method performed by an electronic device. The method includes: detecting a first operation triggered in a client, the client displaying a virtual scene, and the first operation being used for instructing a target object in the virtual scene to move from one side of a target obstacle to the other side of the target obstacle; determining a target action to be performed by the target object, the target action being determined according to attributes of the target obstacle, and the target action being a crossing type or climbing type action performed by the target object to move from one side of the target obstacle to the other side of the target obstacle; and controlling, in the virtual scene, the target object to perform the target action.

This application provides a robotic pool cleaner comprising a cleaning body, a drive and a cleaning roller brush mechanism. The robotic pool cleaner filters liquid and/or contaminants in a pool through the cleaning body. The drive mechanism is connected to the cleaning body. The cleaning body is driven to move in the pool in a working process of the robotic pool cleaner. The drive mechanism comprises a drive wheel with a first outer ring gear, the first outer ring gear is externally engaged with the cleaning roller brush mechanism, so that the cleaning roller brush mechanism is driven by the first outer ring gear to rotate relative to the cleaning body when the drive motor drives the first outer ring gear to rotate. The robotic pool cleaner provided in this application can improve cleaning efficiency and reduce wear of a cleaning roller brush, so that the service life of the cleaning roller brush mechanism is prolonged.

A magnetic levitation camera apparatus and its operation are disclosed. The magnetic levitation camera apparatus comprises a base module and a camera module. The base module includes a base casing and a first magnetic component. The camera module includes a camera casing separate from the base casing, a camera communication unit, a second magnetic component, and at least one camera device. One of the first magnetic component and the second magnetic component is electrified to repel the other one of the first magnetic component and the second magnetic component, so that the camera module is magnetically levitated from the base module. The camera communication unit is configured to communicate with at least one of an external router and a data storage server, and the captured information is transmitted via the external router to a remote electronic device or to the data storage server.

Magnetic levitation camera apparatus and live video system therewith

A method for physical layer secure transmission against an arbitrary number of eavesdropping antennas includes: S: communication between legitimate transmitter Alice and legitimate receiver Bob is confirmed; S: Alice randomly generates a key bit bwith Mbits, maps the key bit binto a key symbol K, and performs an XOR on the key bit band to-be-transmitted confidential information b to obtain an encrypted bits b; S: Bob transmits a pilot sequence to Alice, and Alice calculates a candidate precoding space W and transmits modulated symbol streams s=(s, . . , s) by using precoding W(e); S: Bob measures received signal strength of each antenna, estimates the corresponding antenna vector e, inversely maps the vector e to obtain key symbols and key bits, and demodulates the received symbol streams in sequence at each activated antenna to obtain demodulated ciphertext bits; S: Bob performs an XOR on observed key bits and the demodulated ciphertext bits to obtain the confidential information.

Physical layer secure communication against an eavesdropper with arbitrary number of eavesdropping antennas

In a method for invitation behavior prediction, group behavior feature information of a first user of a group is obtained. In addition, group relationship feature information of a second user is obtained. Further, group architecture information of the group, the group behavior feature information of the first user, and the group relationship feature information of the second user are input to an invitation prediction model, to obtain a target member user and a candidate invitation user of the target member user. The invitation prediction model is obtained by training the invitation prediction model based on a plurality of sample groups in a training set, and group relationship feature information of associated users of member users in the plurality of sample groups. Invitation prediction information is sent to the target member user to prompt the target member user to add the candidate invitation user to the group.

Invitation behavior prediction method and apparatus, and storage medium

Logistic vehicle

A quantitative method for the security access strategy selection of the edge computing terminals includes the following steps: S1. Quantifying and ranking the security risks according to the terminals and data application requirements under the edge computing system. S1. Quantifying and ranking the security risks according to the terminals and data application requirements under the edge computing system. S2. Calculating the security quantification value of terminal and data application. S3. Giving the weight coefficients for the security risk protection of the security access strategies for the terminal and data in the edge computing side. S4. Give the corresponding value of each security strategy to the corresponding terminal and data security protection. S5. Select the corresponding algorithm according to the data set in S4 to select the security strategies.

Quantitative selection of secure access policies for edge computing system

Embodiments of the present disclosure include automated guided vehicles (AGVs) having a steerable camera for target-tracking. In one embodiment, the AGV includes a body having one or more motorized wheels, the body having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the body, and a first camera coupled to the console, the first camera providing one or more axes of rotation and is operable to follow an object.

Self-driving vehicle system with steerable camera and indicator

Growing community of inventors

Beijing, China

Jie Tang