Huawei Technologies Co., Limited

Zte Corporation

The Boeing Company

Cambridge Enterprise Limited

Byd Company Limited

Xi'an Zhongxing New Software Co., Ltd.

Huawei Digital Power Technologies Co., Ltd.

Iyuntian Co., Ltd.

Shenzhen Telunsi Musical Instruments Co., Ltd.

Beijing Iametal New Energy Technology Co., Ltd

Tsinghua University

Jun Yao

Lei Zhang

Yu Wang

Tao Wang

Hui Wang

Jia Liu

Peng Xu

Han Wu

Xuejing Shen

Jing Liu

He Huang

Liu Liu

Qian Dai

Ting Lu

Daping Chu

Dong Wang

Wei Zhang

Yubo Lian

Xin Liu

Yada Huang

Xiaojuan Shi

Wei Shen

Yunpeng Cui

Shan Gao

Wenquan Tang

Peiyun Di

Qingpeng Xie

Shiguo Lian

Chao Gao

Shanfu Li

Jie Ren

Jia Li

Brian Robertson

Yaxia Yin

Yuguo Guo

Yuncheng Zhang

Changqi Hu

Kun Li

Rui Shen

Wulong Liu

Lei Yi

Zuqi Liu

Tongtong Cao

Qiang Gu

Yichao Wu

Ying Lin

Yanbin Hu

Jiaqing Zeng

Libin Yang

Ge Zhao

Xiaoxia Shi

Fenglong Song

Xue Zhang

Yunfeng Shao

Jia Jia

Yinming Mei

Jhensi Chen

Zhitao Li

Rongxin Zou

Ming Cheng

Linbo Huang

Yasuhiko Nakashima

Shuzhan Bi

Xijun Zhang

Qiang Gao

Kun Ll

Lixue Xia

Fengshu Yue

Quan Xu

Anguang Zhao

Qiuwen Wang

Yaonan Liu

Brian Robtson

A magnetic power component includes a printed circuit board and a magnetic core assembled to the printed circuit board. The magnetic core includes a magnetic core body and a plurality of heat dissipation teeth. The magnetic core body is bonded to the printed circuit board. The plurality of heat dissipation teeth is protruded from an outer surface that is of the magnetic core body and that faces away from the printed circuit board. The plurality of heat dissipation teeth and the magnetic core body are bonded through direct contact.

Magnetic power component and power module to which magnetic power component is applied

Electric piano

An active clamp flyback circuit includes: a clamp capacitor that is connected to a primary-side winding of a transformer and that is configured to absorb leakage inductance energy of the primary-side winding; an auxiliary switching transistor that is configured to control the clamp capacitor to perform reverse excitation power charging on the primary-side winding by using the auxiliary switching transistor; a first diode, where the first diode is connected in series between the clamp capacitor and the auxiliary switching transistor; and a second diode, where the second diode is connected between the first diode and the clamp capacitor, and the second diode is connected in series between the clamp capacitor and a primary-side auxiliary winding.

Active clamp flyback circuit

A fully automatic online aero aluminum sorting and recovery system based on LIBS (Laser Induced Breakdown Spectroscopy) technology, which belongs to the field of aero aluminum sorting and recovery technology, and is suitable for online sorting, detection and recovery of large batch of aero aluminum. The fully automatic online aero aluminum sorting system based on LIBS technology provided in the present invention consists of six portions: a sample feeding unit (), a surface treatment unit (), a material positioning unit (), a LIBS analysis and detection unit (), a transfer unit () and a sorting and recovery unit (). The system according to the invention can be used to realize the automatic online detection, sorting and recovery of aero aluminum, and the system does not have requirements on the surface condition of the recovered aero aluminum samples. The sorting accuracy rate is greater than 90% and the sorting rate is not less than 1 block per second.

Automated aero aluminum scrap sorting system based on laser induced breakdown (LIBS) technique

A preparation method of silicon-based composite negative electrode material for a lithium battery includes the following steps: forming steam from a raw material A containing Si and a reducing substance raw material B capable of reacting to generate a silicate under a vacuum heating condition, condensing and depositing in a deposition system after a reaction, and then carrying out carbon coating to obtain the silicon-based composite material. A certain amount of alloy is added into the raw material B, so that a proportion of a crystal region in the silicon-based composite material can be reduced, and the initial coulombic efficiency and the cycling stability of the negative electrode material are further improved.

Preparation method of silicon-based composite negative electrode material for lithium battery

A neural network training method includes inputting neuron input values of a neural network to the RRAM, and performing calculation for the neuron input values based on filters in the RRAM, to obtain neuron output values of the neural network, performing calculation based on kernel values of the RRAM, the neuron input values, the neuron output values, and backpropagation error values of the neural network, to obtain backpropagation update values of the neural network, comparing the backpropagation update values with a preset threshold, and when the backpropagation update values are greater than the preset threshold, updating the filters in the RRAM based on the backpropagation update values.

Neural network training method and apparatus

A ground environment detection method and apparatus are disclosed, where the method includes: scanning a ground environment by using laser sounding signals having different operating wavelengths, receiving a reflected signal that is reflected back by the ground environment, determining scanning spot information of each scanning spot of the ground environment based on the reflected signal, determining space coordinate information and a laser reflection feature of each scanning spot based on each piece of scanning spot information, partitioning the ground environment into sub-regions having different laser reflection features, and determining a ground environment type of each sub-region. Lasers having different operating wavelengths are used to scan the ground, and the ground environment type is determined based on the reflection intensity of the ground environment under different wavelengths of lasers, thereby improving a perception effect of a complex ground environment, and better determining a passable road surface.

Ground environment detection method and apparatus

A peripheral circuit includes a data preparation circuit, configured to selectively import, to a row or column of the resistive random access memory (RRAM) crossbar array based on a first control signal, preprocessed data obtained by first preprocessing on first data that is input into the data preparation circuit, a data selection circuit, configured to selectively export second data from the row or column of the RRAM crossbar array based on a second control signal, and perform second preprocessing on the second data to obtain third data, a data reading circuit, configured to: perform a weight update control operation, and perform a max pooling operation on fourth data that is input into the data reading circuit, to obtain fifth data, and a reverse training computation circuit, configured to calculate an error and a derivative of sixth data that is input into the reverse training computation circuit.

Peripheral circuit and system supporting RRAM-based neural network training

A method for accessing a memory of a multi-core system, a related apparatus, a system, and a storage medium involve obtaining data from a system memory according to a prefetch instruction, and sending a message to a core that carries the to-be-accessed data. Each segment of data is stored in an intra-core cache based on the prefetch instruction.

Writing prefetched data into intra-core caches of cores identified by prefetching instructions

An image display system is provided and includes: at least one first projection unit, configured to project rays of N images on a first plane, so that the rays of the N images are projected on N first regions of the first plane, where the N images are images of a target object photographed based on N angles, and N&#x2265;2; and at least one first refraction unit, configured on the first plane, and configured to perform refraction processing on the rays of the images projected on the first regions, so that the rays of the N images are collected on a common display region. In this way, presentation of a three-dimensional image can adapt to a human eye viewing habit.

Image display system

An image processing device and a method performed by the device are provided. The image processing device includes processors forming a partitioning unit, processors forming a partitioning unit, and memories shared by the partitioning unit and the classification unit. The partitioning unit obtains an image from a first memory, partitions the image into one or more areas, each area includes one or more objects to be classified, and saves information of the partitioning of the image in a second memory. The classification unit obtains the image from the first memory, obtains information of partitioning of the image from the second memory and classifies the objects in each area of the image to obtain a classification result of the image. The image processing device may further include a scheduling unit for controlling optimizing performance of the partitioning unit and the classification unit.

Image processing method and image processing apparatus

Disclosed are a method for selecting an available access network and a user equipment, wherein the method includes: when monitoring that a state of a wireless local area network access network consistently meets a predetermined threshold for a predetermined time period and/or a predetermined number of times, or monitoring that the state of the wireless local area network access network within the predetermined time period or for the predetermined number of times meets the predetermined threshold after filtering processing, a user equipment determining the wireless local area network access network as an available access network.

Method for selecting available access network and user equipment

The present application discloses a method and a system for detecting malicious code. The method comprises receiving a testing sample; testing the sample with a plurality of malicious code detectors to obtain a plurality of testing results; determining a credibility scale and a reputation value of each of the testing results, wherein the credibility scale indicates whether the testing result is malicious or safe, and the reputation value indicates a quantified trust level corresponding to the credibility scale; and determining a final detection result of the testing sample based on the determined credibility scales and the reputation values of the testing results. According to the technical solution of the present application, the testing results obtained from various malicious code detectors are rationally utilized to improve the testing accuracy for the malicious code.

Method and system for detecting malicious code

A method for generating an accelerator program is disclosed, to help increase utilization of an accelerator and increase program development efficiency. In some feasible implementations of the present invention, the method includes: obtaining an accelerator program description that is based on a state machine, where the accelerator program description includes multiple state machines separately configured to implement an application program, and the multiple state machines form a pipeline according to a data dependency in a directed acyclic graph DAG corresponding to the application program; and performing state machine splicing on the state machines in the accelerator program description by using an accelerator compilation tool, to generate an accelerator program.

Method and system for generating accelerator program

Growing community of inventors

Shenzhen, China

Jun Yao