Intel Corporation

Huawei Technologies Co., Limited

Tsinghua University

Boe Technology Group Co., Ltd.

Future Wei Technologies, Inc.

International Business Machines Corporation

Other

Chinese Academy of Sciences

Chengdu Boe Optoelectronics Technology Co., Ltd.

Ordos Yuansheng Optoelectronics Co., Ltd.

Telefonaktiebolaget Lm Ericsson (publ)

Beijing Boe Display Technology Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Datang Mobile Communications Equipment Co., Ltd.

China Petroleum & Chemical Corporation

Qiang Li

Wenlong Li

Jianping Gu

Yangzhou Du

Ziran Zhao

Xiaofeng Tong

Zhiqiang Chen

Li Ni Zhang

Yaohong Liu

Jianguo Li

Lei Zhang

Jian Zhang

Tao Wang

Yurong Chen

Liu Yang

Brian Keith Classon

Philippe J Sartori

Yimin Zhang

Yongxing Zhou

Lei Guan

Weimin Xiao

Zheng Yu

David Jean-Marie Mazzarese

David Mazzarese

Ming Lu

Qiang Wu

Lixia Xue

Bingyu Qu

Tae-Hoon Kim

Sha Ma

Lei Wan

Peng Wang

Shangmin Sun

Yu Hu

Qingping Huang

Xiaoan Fan

Ya-Ti Peng

Yunda Sun

Weifeng Yu

Zhipeng Wang

Yuanjing Li

Bin Wang

Yajun Zhao

Yi-Jen Chiu

Liang Xia

Fredrik Berggren

Branislav M Popovic

Lin Xu

Jianmin Li

Zhiyu Yan

Deping Liu

Juan Zheng

Yuan Xia

Chen Dong

Minje Park

Hong Wang

Yang Liu

Wei Li

Yan Li

Fan Yang

Bo Lin

Chao Li

Kunpeng Liu

Yan Cheng

Yongxia Lyu

Li Wang

Yue Li

Yan Wang

Weiwei Wang

Dong Li

Anbang Yao

Chaojun Li

Bin Xu

Jing Yu

Xingqing Cheng

Wei Yang

Ying Li

Kejun Kang

Xiaotao Ren

Haibo Wang

Jingyuan Sun

Ru Huang

Wei Hu

Li Liu

Xiaobo Chen

Zheng Li

Wenbo Zhang

Yuxiang Xing

Dengkun Xiao

Mingyu Zhou

Chao Tian

Lei Jia

Yong Zhu

Yan Yan

Fengchun Pang

Wu Jiang

Xue Cao

Jianjun Li

Li Zhang

A ranging method includes determining a pixel matrix based on a received echo signal, determining a first amplitude value set based on a first pixel, determining a second pixel based on the first pixel, determining, based on the second pixel, a second amplitude value set based on the second pixel, performing a summation on a target first amplitude value set and a target second amplitude value set, obtaining a target ranging set based on all first amplitude value sets and all second amplitude value sets, and performing a ranging based on the target ranging set to improve a signal-to-noise ratio of an accumulated amplitude value set and a ranging accuracy.

Ranging method, radar, and vehicle-mounted radar

A data processing method for a neural network accelerator, an electronic device and a storage medium are provided. The technical solution includes: obtaining data to be processed and an operation to be executed; obtaining a real-number full-connection operation corresponding to the operation to be executed; and performing the real-number full-connection operation on the data based on a real-number full-connection unit of the neural network accelerator to obtain a result of the operation to be executed for the data.

Data processing method for neural network accelerator, device and storage medium

This application discloses a method, device, and apparatus for maintaining a wind turbine generator plant, which relates to the field of wind power generation. The method includes determining a failure of the wind turbine generator plant when the wind turbine generator plant enters a shutdown maintenance mode; determining a maintenance wind speed corresponding to the failure; adjusting one of blades of the wind turbine generator plant to reach a predetermined azimuth angle and lock an impeller of the wind turbine generator plant to maintain the wind turbine generator plant in a case where the failure belongs to a first type of failure and a real-time wind speed obtained is less than or equal to the maintenance wind speed corresponding to the failure, the first type of failure comprising a failure that requires to lock the impeller for maintenance and the predetermined azimuth angle being a different integral multiple of 30°.

Shutdown maintenance method and apparatus for wind turbine, and device following a failure

A beat frequency signal processing method includes determining a two-dimensional (2D) time frequency spectrogram of a beat frequency signal based on a sampled sequence of the beat frequency signal, where the 2D time frequency spectrogram indicates a relationship between a frequency and a time of the beat frequency signal; performing matching between the 2D time frequency spectrogram of the beat frequency signal and a plurality of theoretical 2D time frequency spectrograms to determine, as a target 2D time frequency spectrogram, a theoretical 2D time frequency spectrogram whose matching degree is greater than or equal to a preset threshold. The plurality of theoretical 2D time frequency spectrograms are 2D time frequency spectrograms of the beat frequency signal, under combinations of a plurality of flight times and a plurality of Doppler frequency offsets, that are calculated based on a frequency sweep curve of the frequency modulated signal.

Beat frequency signal processing method and apparatus

Techniques related to performing object or person association or correspondence in multi-view video are discussed. Such techniques include determining correspondences at a particular time instance based on separately optimizing correspondence sub-matrices for distance sub-matrices based on two-way minimum distance pairs between frame pairs, generating and fusing tracklets across time instances, and adjusting correspondence, after such tracklet processing, via elimination of outlier object positions and rearrangement of object correspondence.

Multi-camera person association via pair-wise matching in continuous frames for immersive video

An application-specific integrated circuit for accelerated encoding and decoding and a method, which are related to the technical field of Bluetooth mobile communication. The application-specific integrated circuit for accelerated encoding and decoding includes: a hardware accelerator, wherein the hardware accelerator includes a pre-processing and pronation processing module, which performs a pre-processing and pronation processing of data, a discrete Fourier transform module is used for performing a multi-level discrete Fourier transform, in an accelerated low-delay modified discrete cosine transform operation LD-MDCT and/or an accelerated the low-delay inverse modified discrete cosine transform operation LD-IMDCT. The application-specific integrated circuit for accelerated encoding and decoding and a method of the present invention adopts an ASIC application-specific integrated circuit, and adopts multi-level discrete Fourier transforms, so that the complex operations are completed by the ASIC application-specific integrated circuit.

Application-specific integrated circuit for accelerating encoding and decoding, and method therefor

The present disclosure provides a display device and voltage drop compensation circuit. The display device includes a signal source part, a display part and a transmission part, and the signal source part is connected to the display part through the transmission part. The signal source part includes a power supply module including a voltage output end for outputting a power supply signal and a voltage feedback end for obtaining a feedback voltage signal, and the power supply module is used to adjust the power supply signal based on the feedback voltage signal. The transmission part includes: a first transmission line with a first end connected to the voltage output end and a second end outputting the power supply signal; and a second transmission line, including a first end connected to the voltage feedback end and a second end connected to the second end of the first transmission line.

Display device and voltage drop compensation circuit

A vehicle-mounted display apparatus includes: a display panel, including a display surface and a non-display surface facing away from the display surface; a metal backboard, arranged on a side at which the non-display surface is located, and the metal backboard is grounded; and a circuit board assembly, including a first circuit board arranged on a side of the metal backboard away from the display panel, the first circuit board is in signal connection with the display panel through a first flexible printed circuit, the first circuit board includes a first front surface facing away from the metal backboard, and a first back surface facing to the metal backboard, the first front surface has circuit patterns, at least one surface of the first circuit board has first copper leakage regions, and the first copper leakage regions being electrically connected with the metal backboard through a first conductive mechanism.

Vehicle-mounted display apparatus

A system for lightweight multi-branch and multi-scale (LMBMS) re-identification is described herein. The system includes a convolutional neural network trained for person identification, wherein the convolutional neural network comprises a series of residual blocks that obtain input from a head network of the convolutional neural network. The system also includes a plurality of refine blocks, wherein one or more refine blocks take as input features from a residual block of the series of residual blocks, wherein the features are at input at different scales and different resolutions and an output of the plurality of refine blocks is a plurality of features in a same feature space. A channel-wise attention mechanism may merge the plurality of features and generate final dynamic features.

Light weight multi-branch and multi-scale person re-identification

A method and system for including a base station that configures a first user equipment (UE) that is in a radio resource control connected state with the base station. The UE is configured to be a synchronization source and transmit a first device-to-device synchronization signal (D2DSS) by using a synchronization resource that comprises a time resource, a frequency resource or a time and frequency resource. The base station instructs the first UE to transmit the first D2DSS using the synchronization resource. The base station signals the UE to configure the UE separately from the signal to transmit the D2DSS, and both of the signals are performed with radio resource control signaling from the base station to the UE.

System and method for device-to-device synchronization

A method includes: determining, a first pixel in a receiving field of view of a radar and N sampling point sets in an echo signal corresponding to the first pixel; estimating an estimated distance between the radar and a target object based on each first sampling point set of the N sampling point sets, and determining, based on each estimated distance, M cumulative receiving fields of view in a one-to-one correspondence with M data frames; determining a second sampling point set in echo signals corresponding to Q neighboring pixels, and superposing each first sampling point set and the corresponding second sampling point set to obtain an echo signal that corresponds to the first pixel and that is obtained; and calculating an actual distance between the radar and the target object based on the echo signal obtained after superposition processing.

Echo signal processing method and apparatus, system, and storage medium

This application provides a gap waveguide antenna structure and an electronic device, and relates to the field of communication radars. The antenna structure includes a top layer, a gap waveguide structure, a microstrip structure, and a bottom layer. The top layer is parallel to the bottom layer. A first metal layer and a second metal layer are laid on two sides of a dielectric layer of the top layer, and the microstrip structure is disposed on the second metal layer. A frame of the microstrip structure is separated from metal of the second metal layer by leaving a space. The foregoing special antenna structure can reduce a transmission loss, improve a coupling capability, and effectively improve transmission efficiency of energy or an electromagnetic wave.

Gap waveguide antenna structure and electronic device

The disclosure provides a radar ranging method and device, a radar, and an in-vehicle system. An example method includes: obtaining a pulse waveform of a transmit signal sent to a target object by a radar; obtaining a sampling sequence of an echo signal received by the radar; determining, in sampling points on a rising edge of the sampling sequence, a first timing point used to indicate a receive moment of the echo signal; determining, based on the first timing point and the pulse waveform of the transmit signal, a second timing point used to indicate a transmit moment of the transmit signal; and calculating a distance between the radar and the target object based on the first timing point and the second timing point.

Radar ranging method and device, radar and in-vehicle system

A network security protection method includes receiving a first data flow, where the first data flow includes a source Internet Protocol (IP) address and a destination IP address, where the source IP address is an IP address of a first electronic device, and where the destination IP address is an IP address of a first server, determining first device attribute information corresponding to the source IP address, determining second device attribute information corresponding to the destination IP address, and forwarding the first data flow when the first device attribute information matches the second device attribute information or blocking the first data flow when the first device attribute information does not match the second device attribute information.

Network security protection method and protection device

A semantic-based method and apparatus for retrieving a perspective image, an electronic device and a computer-readable storage medium are provided. An method includes obtaining a perspective image for a space containing an inspected object therein. A semantic division on the perspective image is performed using a first method, to obtain a plurality of semantic region units. A feature extraction network is constructed using a second method. Based on the perspective image and each of the plurality of semantic region units, a feature of each semantic region unit is extracted using the feature extraction network. Based on the feature of each semantic region unit, an image most similar to the semantic region unit is retrieved from an image feature database, to assist in determining an inspected object in the semantic region unit.

Semantic-based method and apparatus for retrieving perspective image

Growing community of inventors

Beijing, China

Qiang Li