Huawei Technologies Co., Limited

Other

International Business Machines Corporation

Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Tsinghua University

Wuhan Telecommunication Devices Company

Fudan University

Accelink Technologies Co., Ltd.

Carrier Corporation

Siemens Healthcare Gmbh

Sz Dji Technology Co., Ltd.

Beijing Youzhuju Network Technology Co., Ltd.

Shenzhen Juding Medical Equipment Co., Ltd.

Suzhou Yi-hua Biomedical Technology Co., Ltd

Beijing Vrv Software Corporation Limited

Yi Shan Jiang

Wei Quan

Guanglin Han

Zhongbin Qin

Qiao Zhang

Jian Zhang

Weiwei Song

Mingzeng Dai

Yi Guo

Junren Chang

Yinghui Yu

Yajuan Li

Pingping Xing

Boyun Xie

Qufang Huang

Yu Wang

Peng Zhang

Yuhua Chen

Li Cao

Wu Chen

Ming Lei Zhang

Wei Zhang

Jian Qiao Sun

Hao Liu

Xiaolong Guo

Zhenzhen Cao

Cheng Fang Wang

Yu Zhu

Jing Liu

Xiao Ming Ma

Jing James Xu

Xin Wang

Anjian Li

Jie Yang

Pengyu Ji

Lei Gao

Chao Zhang

Kaiming Yang

Jinchun Hu

Xiaofeng Chen

Wensheng Yin

Wen Xu

Dengfeng Xu

Chun Lei Xu

Xin Qi

Hayden M Reeve

Jian Sun

Benqing Quan

Wurong Zhang

Beili Song

Biao Ma

Ze Ming Zhao

Arnaud Meylan

Fulin Wang

Fengjie Li

Xiujuan Ding

Yongbao Li

Zhao Liu

Chengpeng Fu

Haihua Mu

Qing Xu

Chunping Yu

Cuihong Zhang

Luca F Bertuccelli

Qiang Guo

Xiaohua Lu

Shun Zhang

Yan Zhang

Hao Lin

Jinlei Ding

Song Bai

Junmin Zhao

Xiaoming Li

Xiao Tian Xu

Fanrong Gao

Yaoxin Luo

Qing Li

Lin Fu

Xiling Zhao

Shigang Zhang

Qianchuan Zhao

Yanting Wu

Yongjian Chen

Weiwei Yang

Yiming Yao

Ningxia Wang

Xiaobo Zhao

Xinhai Zhu

Zhechi Lu

Yuxiang Yang

Ao Lin Tang

Cheng Du

Zhijin Cheng

Changlei Xiao

Daoke Tang

According to embodiments of the disclosure, a method, system, device, medium and product for video processing are provided. The method includes extracting a plurality of feature maps from a plurality of frames of a video respectively; determining a plurality of frame-level features of a video instance in the plurality of frames based on the plurality of feature maps respectively, a frame-level feature in each of the frames representing feature information of the video instance in the frame; determining a video-level feature of the video instance by aggregating the plurality of frame-level features, the video-level feature representing feature information of the video instance across the plurality of frames; and determining an analysis result for the video instance in the plurality of frames based at least on the video-level feature.

Methods, systems, devices, media and products for video processing

The method includes: obtaining a changing distance of the retractable display screen in an extending-retracting direction in response to the retractable display screen being extended or retracted; and adjusting a spacing of application icons displayed on a current desktop in the extending-retracting direction according to the changing distance, and/or adjusting a number of the application icons displayed on the current desktop in the extending-retracting direction according to the changing distance.

Device control method and apparatus, storage medium, and electronic device

A compilation method includes obtaining a source program code. The source program code includes a first function in a first language code and a second function in a second language code. The first language code is a native language. The second language code is a non-native language. The method also includes generating a third language code based on the source program code. The third language code includes a third function, a fourth function and a fifth function. The third function is generated based on the first function. The fourth function is generated based on the second function. The fifth function is generated based on the first function and the second function. Executing the third function invokes the fourth function via the fifth function.

Cross-language compilation method and device

A voice information processing method and an electronic device are provided. The voice information processing method may include: a first device () obtains first voice information, and when the first voice information includes a wakeup keyword, the first device () sends a voice assistant wakeup instruction to a second device (), such that the second device () launches a voice assistant; then the first device () obtains second voice information and sends the second voice information to the second device (), the second device () determines a voice triggered event corresponding to the second voice information by using the voice assistant, and feeds target information associated with performance of the voice triggered event back to the first device (), such that the first device () performs the voice triggered event based on the target information. The method can reduce the computing burden of the first device ().

Voice information processing method and electronic device

Embodiments of the present disclosure relate to weight matrix prediction. In an embodiment, a computer-implemented method is disclosed. The method comprises sending a candidate weight matrix of a neural network to one of a plurality of computing nodes comprised in a computing system to perform a testing iteration. The method further comprises receiving a testing loss value from the one of the plurality of computing nodes based on the testing iteration. The method further comprises evaluating whether the testing loss value is applicable. The method further comprises determining that the candidate weight matrix is available to be employed in a new formal iteration in response to the testing loss value being applicable. In other embodiments, a system and a computer program product are disclosed.

Weight matrix prediction

Embodiments of the present invention relate to methods, systems, and computer program products for user behavior management. In embodiments, a group of states of a user of an application system within a previous time period may be obtained. A state in the group of states may be associated with a privilege of the user for accessing resources in the application system during the previous time period. A feature of the user may be generated based on the group of states. A privilege of the user at a current time may be managed in the application system based on the feature. With these embodiments, the user behavior may be managed according to various aspect of the user's historical states and thus the user may be managed in a more accurate and effective manner.

Behavior management

Provided is a low-molecular-weight holothurian glycosarninoglycan, with the constituent units thereof being a glucuronic acid group, an N-acetaminogalactose group and a fucose group, and a sulfate ester group or acetyl ester group thereof. Glucuronic acid and N-acetaminogalactose are interconnected via &#x3b2;(1-3) and &#x3b2;(1-4) glucosidic bonds to form a backbone of a disaccharide repeating structural unit, and a fucose group is connected to the backbone as a side chain. On a molar ratio basis, the ratio of the glucuronic acid group:the N-acetaminogalactose group:the fucose group is 1:(0.8-1.2):(0.6-1.2). In the structure of the low-molecular-weight holothurian glycosaminoglycan, 10-30% of glucuronic acid groups are modified, on the 2-position, with a sulfate ester group, and the rest are hydroxyl groups; and a proportion of 10-30% of fucose groups is modified, on the 2-position, with an acetyl ester group, and the rest are hydroxyl or sulfate ester groups. The low-molecular-weight holothurian glycosarninoglycan of the present invention has anti-inflammation, anti-vasculopathy, anti-tumor or anti-tumor-metastasis functions, and the effect of improving learning and memory abilities, and can be used for preparing a related drug or health-care product.

Low-molecular-weight holothurian glycosaminoglycan and use thereof

Disclosed are aextract and a preparation method therefor and a use thereof. Theextract includes any one or more of sesamin, (2E,6E)-N-isobutyl-7-(3,4-methylenedioxyphenyl)heptadienamide, (2E,4E)-N-isobutyldodecane-2,4-dieneamide, (2E,4E)-N-isobutyl-15-phenylpentadeca-2,4-dieneamide, (2E,4E,14Z)&#x2014;N-isobutyleicosane-2,4,14-trienamide, and (2E,4E)-N-isobutyl-13-phenyltrideca-2,4-dieneamide. Theextract can prevent depression.

extract and preparation method therefor and use thereof

An approach is provided in which the approach constructs a 3-dimensional (3D) matrix based on a plurality of historical transactions performed by a user. The 3D matrix includes a set of features, a set of rows, and a set of channels. The approach trains a convolutional neural network using the 3D matrix, and then uses the trained convolutional neural network to predict a risk level of a new transaction initiated by the user. The approach transmits an alert message based on the predicted risk level.

Financial risk management based on transactions portrait

A stabilization degree adjustment method includes obtaining a stabilization degree adjustment instruction and adjusting a stabilization degree of a stabilization mechanism according to the stabilization degree adjustment instruction. The stabilization mechanism is configured to support a load.

Stabilization degree adjustment method and device, and storage medium

The invention belongs to the field of low-power consumption Bluetooth technology in wireless communication, in particular to a method for improving the sensitivity of the receiver in a low-power consumption Bluetooth system. The method of the invention is to introduce a deinterleaver between the symbol pattern mapper and GFSK modulator of the transmitting terminal under the low-power consumption Bluetooth coding mode, which is used to perform additional processing on the bitstream data and then perform modulation; then, due to the introduction of interleaving, Turbo iterative processing of demodulation and decoding can be performed at the receiving terminal; the receiving terminal comprises a Turbo iterative demodulator and decoder, which is used to model the low-power consumption Bluetooth GFSK modulator and convolutional coder into finite state machines, and then combine the deinterleaver to use the BCJR algorithm for iterative demodulation and decoding.

Sensitivity of bluetooth receiver by introducing interleaver

Display screen with animated graphical user interface

The present disclosure provides an omnidirectional beamforming method. In the omnidirectional beamforming method, a space-time block coding is performed on a data stream to be sent to obtain the coded data stream. Omnidirectional beamforming matrices corresponding to a uniform rectangular antenna array are constructed. The beamforming is performed on the coded data stream through the omnidirectional beamforming matrices, to generate a signal to be sent of the uniform rectangular antenna array.

Omnidirectional beamforming method

The present invention discloses a system and control method of all-DC power supply and storage for a building. The system includes a renewable energy power generation apparatus, a mains grid system, a first DC/DC conversion apparatus, an AC/DC conversion apparatus, a first voltage DC bus, a first energy storage apparatus, and a first charge-discharge conversion apparatus. The first DC/DC conversion apparatus is configured to convert DC voltage generated by the renewable energy power generation apparatus to voltage of the first voltage DC bus. The AC/DC conversion apparatus is configured to convert AC power from the mains grid system to DC power. The first charge-discharge conversion apparatus is configured to control charge/discharge of the first energy storage apparatus. The first voltage DC bus is connected to a first electrical device and configured to power the first electrical device.

System and control method of all-DC power supply and storage for building

Growing community of inventors

Beijing, China

Yi Shan Jiang