Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Sz Dji Technology Co., Ltd.

Avinst Co., Limited

Suteng Innovation Technology Co., Ltd.

Zte Corporation

Rutgers, the State University of New Jersey

Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Jrd Communication (shenzhen) Ltd.

Shenzhen Mindray Scientific Co., Ltd.

Phoenixtec Power Co., Ltd.

Shenzhen Runchengda Electricity Technology Co., Ltd.

Huawei Device Co., Ltd.

Honor Device Co., Ltd.

Peking University

Hao Wang

Yong Li

Yan Zhang

Zuomin Wu

Feng Li

Lin Ma

Lei Zhang

Jian Ye Chen

Xingqing Cheng

Xin Tian

Meng Hua

Jian Yang

Lei Han

Congqi Li

Zhi Feng Li

Shunan Fan

Kongqiao Wang

Yu Liu

Lei Wang

Paul Pan

Hao Tang

Xiaolong Zhu

Ting Dong

Jian He

Shuo Chen

Wei Luo

Peng Jiang

Guoqiao Chen

Cheng Du

Congchao Zhu

Jianjie You

Hai Shan Wu

Hongguang Guan

Heng Liao

Wenhan Luo

Hu Liu

Peng Yang

Jiangwei Li

Jianhua Zhang

Fei Yu

Songping Yao

Jing Wang

Xin Zuo

Bin Deng

Yuping Zhao

Jing Li

Huai Huang

Huiping Zhang

Gang Chen

Xuefei Song

Zequn Jie

Yitong Wang

Xing Ji

Haozhi Huang

Zhifeng Li

Weidong Li

Zheng Hu

Wenhao Jiang

Zhijun Zhang

Han Zhou

Jin Li

Yiquan Lu

Gang Yao

Ning Guo Chen

Peitao Chen

Fanzhao Wang

Di Hong Gong

Hanyu Wei

Jiahong Wei

Zhiyong Yan

Xingmin Guo

Wenjun Zhao

Chenren Xu

Bin Han

Jin Ma

Ningbo Zhang

Shuo Zhang

Yue Chang

Yuan Yang

Hong Duan

Jian Cheng

Qiao Li

Shuai Guo

Juan Chen

Guan Wang

Xiaojin Li

Ze Qun Jie

Lili Liu

Fan Jia

Zheng Ge

Changguo Jiang

Shiming Ai

Xiang Zhu

Zhiwei Mo

Tao Mao

Bifeng Hu

Jianfeng Qi

Jian Chen

Dihong Gong

Libo Huang

A distributed file access method and a related device, applied to a first electronic device, where the first electronic device is in communication connection to a second electronic device, the first electronic device stores metadata of a first file on the second electronic device, and the metadata includes a file modification type and a file modification tag. The method includes: receiving a read instruction for the first file; reading the file modification type and the file modification tag of the first file; and reading the first file according to the file modification type and the file modification tag of the first file. The method can improve performance of file access between electronic devices.

Distributed file access method and related device

An NFC tag verification method is provided. The method is applied to a first electronic device, and includes: detecting NFC tag information of a second electronic device; performing verification on the NFC tag information based on a locally stored first verification list, to obtain a first verification result; if the first verification result is that the verification succeeds, starting to run an application service associated with the NFC tag information; sending the NFC tag information to a cloud server; receiving a second verification result obtained by the cloud server by performing verification on the NFC tag information; and if the second verification result is that the verification fails, stopping running the application service. In the solution of embodiments of this application, when verification is performed on an NFC tag, the application service is first started to run after local verification succeeds, and then cloud verification is performed.

NFC tag verification method and related device

A multipath aggregation scheduling method and an electronic device provide for configuring transmission sequences of network packets on different paths when there are a plurality of paths between a client and a service end. This enables a network packet sent later on any of the plurality of paths to be sent first on at least one other path, thereby increasing transmission rate of the network.

Multipath aggregation scheduling method and electronic device

A distance measuring device includes a scanning module including a rotor assembly, the rotor assembly including a rotor, the rotor including a receiving cavity and an optical element disposed in the receiving cavity, the optical element rotating synchronously with the rotor assembly, the optical element including a first end and a second end, the first end and the second end being respectively positioned at two ends in a radial direction of the optical element, a thickness of the first end being greater than a thickness of the second end, a notch being formed on a side of the first end of the rotor or/and the optical element; and a distance measuring module configured to emit a laser pulse to the scanning module.

Scanning module, distance measuring device and mobile platform

Embodiments of the present application disclose a photonic chip, a LiDAR, and a mobile device. The photonic chip has a substrate, a cladding layer, a first coupler, a first beam splitter, an emitting waveguide module, and a first optical adjusting monitoring module. The first beam splitter includes a first port, a second port, a third port, and a fourth port. The first beam splitter is configured to output the optical signal input through the first port through the third port and the fourth port, and to output the optical signal input through the third port through the first port and the second port. The first optical adjusting monitoring module includes a first photodetector. Monitors the optical power of the return light received by the emitting waveguide module through the first optical adjusting monitoring module integrated on the photonic chip, making the process more time-saving and labor-saving.

Photonic chip, lidar, and mobile device

A PIM cancellation apparatus includes: a first obtaining unit, configured to obtain digital signals of N transmit channels; a second obtaining unit, configured to obtain receive signals; and a PIM simulation unit, configured to obtain N PIM cancellation signals based on the digital signals of the N transmit channels, where the PIM simulation unit includes a first linear module performing first filtering and first linear superposition on the digital signals of the N transmit channels to obtain a first linear superposition result, a non-linear module performing non-linear processing on the first linear superposition result to obtain a non-linear processing result, and each filter in a second linear module performing linear processing on each corresponding non-linear processing result to determine one PIM cancellation signal, to obtain the N PIM cancellation signals; and a cancellation unit, configured to obtain N cancellation result signals.

PIM cancellation method and apparatus

A silicon photonic chip, a LiDAR, and a mobile device are disclosed. The silicon photonic chip includes a cladding, a transceiving waveguide module, a first photoelectric detection module, and a first polarization rotator. An emitting waveguide of the transceiving waveguide module extends along a first direction and is configured to transmit and emit a detection light, and the first receiving waveguide of the transceiving waveguide module is arranged at intervals along a second direction from the emitting waveguide and is configured to receive and transmit an echo light. The first photoelectric detection module is configured to receive a first local oscillator light and the echo light output by the first receiving waveguide. The first polarization rotator is disposed upstream of the first photoelectric detection module.

Silicon photonic chip, LiDAR, and mobile device

Embodiments of this application provide a wireless local area network communication method and apparatus, a medium, and an electronic device. The method includes selecting a first communication link and at least one second communication link from candidate communication links according to a data flow; generating an adding traffic stream (ADDTS) request frame, the ADDTS request frame comprising indication information for indicating the at least one second communication link; and transmitting the ADDTS request frame through the first communication link, the ADDTS request frame being used for requesting establishment of a traffic stream for transmitting the data flow on the first communication link and the at least one second communication link respectively.

Wireless local area network communication method and apparatus, medium, and electronic device

Smart watch

The disclosure provides a ventilation apparatus. The ventilation apparatus includes a housing, an inhalation branch, a control unit, a gas source port, an exhalation branch, and a paramagnetic oxygen sensor. The paramagnetic oxygen sensor is used for detecting the oxygen content in the inhalation branch. The gas source port is disposed on the housing. The inhalation branch, the control unit, and the exhalation branch are enclosed within the housing. The paramagnetic oxygen sensor is disposed outside the housing.

Ventilation apparatus

A follow focus device for a gimbal carrying an image capturing device includes a power assembly connected to the image capturing device, a connection member, and an adjustment member electrically connected to the power assembly. The power assembly is configured to adjust at least one lens parameter of the image capturing device. The connection member is configured to fix the power assembly to the gimbal. The adjustment member generates a control signal to adjust the lens parameter of the image capturing device. The power assembly receives the control signal from the adjustment member and, based on the control signal, rotates a part of the image capturing device to adjust the lens parameter of the image capturing device.

Follow focus device and gimbal having the same

A face recognition method includes: extracting a first identity feature of a first face image by using a feature extraction module, and extracting a second identity feature of a second face image by using the feature extraction module, wherein the feature extraction module is implemented by using a neural network, and pre-trained in a manner such that a correlation coefficient of training batch data is obtained based on an identity feature and an age feature of a sample face image in the training batch data, and decorrelated training of the identity feature and the age feature is performed on the feature extraction module based on the correlation coefficient; and performing a face recognition based on determining a similarity between faces in the first face image and the second face image according to the first identity feature and the second identity feature.

Model training method and apparatus, face recognition method and apparatus, device, and storage medium

Security camera

The present disclosure relates to novel metal-organic frameworks (MOFs) comprising tetratopic ligands with small pore apertures. The present disclosure further relates to methods of utilizing the MOFs of the disclosure to separate hydrocarbons through adsorptive processes.

MOF compositions for selective separation of hydrocarbons

The disclosure provides an image recognition network model training method, including: acquiring a first image feature corresponding to an image set; acquiring a first identity prediction result by using an identity classifier, and acquiring a first pose prediction result by using a pose classifier; obtaining an identity classifier according to the first identity prediction result and an identity tag, and obtaining a pose classifier according to the first pose prediction result and a pose tag; performing pose transformation on the first image feature by using a generator, to obtain a second image feature corresponding to the image set; acquiring a second identity prediction result by using the identity classifier, and acquiring a second pose prediction result by using the pose classifier; and training the generator.

Image recognition network model training method, image recognition method and apparatus

Growing community of inventors

Shenzhen, China

Hao Wang