Huawei Technologies Co., Limited

Tencent Technology (shenzhen) Company Limited

Zte Corporation

Hkc Corporation Limited

Shenzhen China Star Optoelectronics Technology Co., Ltd.

Mediatek Singapore Pte. Ltd.

Lifetech Scientific (shenzhen) Co., Ltd

Hon Hai Precision Industry Co., Ltd.

Hong-fu Jin Precision Industry (shenzhen) Co., Ltd.

Tcl China Star Optoelectronics Technology Co., Ltd.

Xi'an Zhongxing New Software Co., Ltd.

Tencent Technology Company Limited

Lifetech Scientific Co., Ltd.

Jie Chen

Dan Su

Jun Wang

Dong Yu

Haijiang Yuan

Youxiong Lu

Haigang He

Xiangdong Liu

Zhouyi Yu

Qian Cao

Chuangxin Jiang

Lin Chen

Shujuan Zhang

Xing Liu

Wei Li

Junling Chen

Qingsen Zhang

Wei Luo

Feng Bi

Jun Chen

Wei Yu

Hongcheng Zhuang

Yu Liu

Dong Hai Yu

Hongtao Guo

Ke Yao

Feng Liu

Jian Yang

Weimin Xing

Qian Wang

Zhiwei Zhang

Yunlong Li

Zhao Zhang

You Li

Meng Yu

Yao Li

Zhenyu Wu

Ling Liu

Yi Gao

Shuanghong Huang

Nan Wang

Aleksei Eduardovich Maevskii

Min Luo

Zhen Li

Xianmiao Chen

Pu Cai

Hongchen Yu

Vladimir Vitalievich Gritsenko

Jianlei Li

Qing Chen

Rong Yang

Ting-Huan Lee

Junfeng Xie

Lei Gong

Jiyuan Shi

Peidi Huang

Xingchang Zhu

Zhonglin Cao

Andrian Beletchi

Qingfei Nian

Qiaogang Chen

Xinping Zhang

Yanfei Han

Shiyao Xiao

Vladislav Nikolaevich Obolentsev

Plotnikov Pavel

Man Zhao

Chaoyang Liu

Hong Chang Zhou

Yongping Liao

Mingguang Wang

Dmitrii Yurievich Bukhan

Kun Gu

Sheng Yu Yin

Mingjie Jin

Xiao Jie Dong

Starovoit Ivan

Xiang Fu

Solovev Dmitry

Zhenling Zhu

Guoqing Liao

Pengjie Xiao

Hong-Chang Zhou

Yajuan Feng

Xiao-Jie Dong

Jiashen Tian

Sheng-Yu Yin

Hongchang Zhou

Shengyu Yin

Xiaojie Dong

Xuegang Ou

Xin Si

Hongbin Yu

Provided is an Ethernet frame framing method and device. The method includes: a receiving end receiving a data stream with a fine granularity-basic unit (Fg-BU); and the receiving end judging whether an Fg-BU frame is locked or unlocked according to whether the Fg-BU frame in the data stream is normal. In the present disclosure, the receiving end may judge whether the Fg-BU frame is locked or unlocked according to whether the received Fg-BU frame is normal.

Ethernet frame framing method and device

The present disclosure provides a display image compensation method, a display and a storage medium. The display image compensation method includes: when an eye movement behavior of a target subject is monitored, determining a compensation area in a display image based on the eye movement behavior, the compensation area being an area where a color break up phenomenon occurs in the display image during watching of the target subject due to the eye movement behavior; acquiring a current display color value of the compensation area, and determining first difference information between the current display color value and a deviation color value of the compensation area; and determining a color compensation parameter based on the first difference information, and adjusting an image color of the compensation area in the display image according to the color compensation parameter.

Display image compensation method, display and storage medium

Provided are a resource selection method and apparatus, a resource indication method and apparatus, and terminals and a storage medium. The method includes: indicating position information of multiple resources, and performing resource reselection based on resource availability information, where the resource availability information is from the second terminal.

Resource selection method and apparatus, resource indication method and apparatus, and terminal and storage medium

Disclosed are a touch circuit and driving method, and a touch display panel, the touch circuit includes a plurality of touch units, each touch unit includes a touch signal line, one or more data lines corresponding to the touch signal line, a data signal line connected to the data lines, transmitting a data signal to the data lines, a common signal line connected to the touch electrode; each touch unit includes a first transistor, a control terminal of the first transistor is connected to a first control signal line, a first conducting terminal is connected to the data lines or the data signal line, a second conducting terminal is connected to the touch signal line; though the aforesaid structure, reusing of the data signal line, reducing of the number of wires in the fanout wiring area, an effect of narrow bezel in the lower bezel can be realized.

Touch circuit, driving method, and touch display panel

Disclosed is a power determination method, including: a first communication node determines power information according to at least one of signaling information and an agreed rule, where the power information includes at least one of: first-type power information associated with a first-type channel or signal, second-type power information associated with a second-type channel or signal, or third-type power information associated with the first-type channel or signal; where an acquisition parameter of the first-type power information comprises the second-type power information, and an acquisition parameter of the third-type power information do not comprise the second-type power information; and where the first-type channel or signal is a channel or a signal between the first communication node and a second communication node, and the second-type channel or signal is a channel or a signal between the first communication node and one or more third communication nodes.

Power determination and signal transmission methods, apparatus, network device and storage medium

Provided are a signal sending method and device, a signal receiving method and device, an information feedback method and device, a communication node, and a medium. The method includes: acquiring configuration information of sidelink reference signal resources; and sending a channel state information reference signal on a sidelink data channel according to the configuration information, and indicating first indication information through sidelink control information.

Signal sending method and device, signal receiving method and device, information feedback method and device, communication node, and medium

A signal pre-compensation method is provided. In the method, at least one target frequency subband is determined from a plurality of frequency subbands of a first optical signal and an optical signal of the at least one target frequency subband in the first optical signal is demodulated based on the at least one target frequency subband. A first electrical signal is obtained after demodulation, and a pre-compensation parameter is updated based on the at least one target frequency subband, the first electrical signal, and a second electrical signal. Herein the pre-compensation parameter is used to perform signal pre-compensation on the second electrical signal, and the first optical signal is generated after the pre-compensation is performed on the second electrical signal.

Signal pre-compensation method and apparatus

A device and method related to processing an optical signal so as to compensate nonlinear distortions of optic fibers are provided. The method includes: generating a first signal by equalizing the optical signal using a first DBP algorithm; generate a first sequence of LLRs by demapping and deinterleaving the first signal; generating a first sequence of bits by iteratively decoding the first sequence of LLRs for a first number of iterations; generating a sequence of QAM symbols by mapping and interleaving the first sequence of bits; generating a second signal by equalizing the first signal based on the sequence of QAM symbols using a second DBP algorithm; generating a second sequence of LLRs by demapping and deinterleaving the second signal; and generating a second sequence of bits by iteratively decoding the second sequence of LLRs for a second number of iterations.

Device and method for decoding and equalizing

A mixed speech recognition method, a mixed speech recognition apparatus, and a computer-readable storage medium are provided. The mixed speech recognition method includes: monitoring an input of speech input and detecting an enrollment speech and a mixed speech; acquiring speech features of a target speaker based on the enrollment speech; and determining speech belonging to the target speaker in the mixed speech based on the speech features of the target speaker. The enrollment speech includes preset speech information, and the mixed speech is non-enrollment speech inputted after the enrollment speech.

Mixed speech recognition method and apparatus, and computer-readable storage medium

A display panel, a driving method and a display device are disclosed. The display panel is divided into a first area and a second area arranged along a data line direction. Multiple sub-pixels corresponding to a same row of scan line are connected to data lines in one-to-one correspondence. In the first area and second area, each column of sub-pixels is arranged between two adjacent data lines, where the same column of sub-pixels includes multiple sub-pixel groups, each of which includes at least one sub-pixel. Among two adjacent data lines, one data line is connected with the sub-pixels in the odd groups, and the other is connected with the sub-pixels in the even groups. The sub-pixel groups in the first area and the corresponding sub-pixel groups in the second area are axially symmetrical with respect to a boundary line between the first area and the second area.

Display panel, driving method and display device

A method and apparatus for controlling a network slice, and a non-transitory computer-readable storage medium are disclosed. The method includes: binding a network slice established in a bearer network on a basis of a quality of service (QoS) requirement to a user network interface or a virtual sub-interface of the bearer network, where a plurality of network slices with different QoS are bound to different user network interfaces or virtual sub-interfaces, and when a first network slice of the bearer network and a network slice group of a non-bearer network are bound to a same user network interface or a same virtual sub-interface, QoS of the first network slice is same as QoS of the network slice group.

Network slice control method and apparatus, and computer readable storage medium

A BRAS system-based packet encapsulation method includes obtaining user access information when receiving a user access protocol packet and performing VXLAN GPE encapsulation on the user access protocol packet based on the user access information. The encapsulation structure includes a user information header that is used to store the user access information, and a quantity of bytes occupied by the user information header is less than or equal to 12. In this application, the foregoing encapsulation structure is used to encapsulate a packet.

Broadband remote access server (BRAS) system-based packet encapsulation

A neural network training method is provided. The method includes obtaining an audio data stream, performing, for different audio data of each time frame in the audio data stream, feature extraction in each layer of a neural network, to obtain a depth feature outputted by a corresponding time frame, fusing, for a given label in labeling data, an inter-class confusion measurement index and an intra-class distance penalty value relative to the given label in a set loss function for the audio data stream through the depth feature, and updating a parameter in the neural network by using a loss function value obtained through fusion.

Audio recognition method and system and machine device

This application discloses an artificial intelligence-based (AI-based) wakeup word detection method performed by a computing device. The method includes: constructing, by using a preset pronunciation dictionary, at least one syllable combination sequence for self-defined wakeup word text inputted by a user; obtaining to-be-recognized speech data, and extracting speech features of speech frames in the speech data; inputting the speech features into a pre-constructed deep neural network (DNN) model, to output posterior probability vectors of the speech features corresponding to syllable identifiers; determine a target probability vector from the posterior probability vectors according to the syllable combination sequence; and calculate a confidence according to the target probability vector, and determine that the speech frames include the wakeup word text when the confidence is greater than or equal to a threshold.

Artificial intelligence-based wakeup word detection method and apparatus, device, and medium

The present disclosure provides an encoding and decoding device implementing an improved forward error correction (FEC) coding/decoding method. In particular, the encoding device is configured to encode a stream of data symbols using a spatially coupled code (e.g. staircase codes, braided block codes or continuously interleaved block codes), wherein at least one generalized error location (GEL) code is used as a component code of the spatially coupled code. Accordingly, the decoding device is configured to decode a sequence of encoded symbol blocks using a spatially coupled code, wherein at least one GEL code is used as a component code of the spatially coupled code. Thereby, a suitable spatially coupled FEC code that allows for very low-latency, high-throughput, high-rate applications with a low-complexity decoding procedure, and allows for mitigation of the error-floor, is designed.

Spatially coupled forward error correction encoding method and device using generalized error locating codes as component codes

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Shenzhen, China

Jie Chen