Fujitsu Corporation

Boe Technology Group Co., Ltd.

Ricoh Company, Ltd.

Sony Ericsson Mobile Communications Ab

Sony Mobile Communications Ab

Beijing Boe Display Technology Co., Ltd.

Beijing Baidu Netcom Science and Technology Co., Ltd.

Peking University

Beijing Baidu Netcom Science Technology Co., Ltd

The Ncs Testing Technology Co., Ltd.

Xuanwu Hospital, Capital Medical University

Beijing Hua'an Innovation Biotechnology Co., Ltd.

Beijing Second Optical Instrumentfacotry

Guangdong Zhongke Huatong New Materials Technology Co., Ltd.

Ying Zhao

Zhenning Tao

Liang Dou

Shipei Li

Wei He

Huili Wu

Liyan Liu

Sheng Xu

Qi Yao

Renquan Gu

Wusheng Li

Huihui Li

Fang He

Lizhen Zhang

Dongsheng Yin

Shupeng Li

Lingyan Liang

Yongkang Xie

En Shi

Xue Dong

Li Ni Zhang

Gang Wang

Takeshi Hoshida

Guangcai Yuan

Tao Li

Dongsheng Li

Jia Liu

Zhiwei Liang

Feng Wang

Chao Xi Chen

Yifei Zhang

Yang Yue

Yi Zhou

Zhi Peng Liu

Lixin Wang

Liang Tang

Haizhou Wang

Taku Saito

Ling Liu

Jianwei Zhang

Xuejing Shen

Yufeng Liu

Yupeng Gao

Xiaoyu Chen

Binbin Xu

Weimeng Zhang

Qingping Yin

Chunming Cui

Yong Zhou

Hongwei Shi

Limin Yang

Zhengyu Qian

Jie Jin

Jianjun Zhao

Su Zhou

Guangjun Nie

Xuefei Zhao

Dianchao Liu

Bingbing Wang

Zhi Xu

Tuobang Wu

Lianghuo Zhang

Xiaopeng Li

Wenqing Xue

Xin Peng

Qingbo Li

Jinguang Wu

Yuanfu Zhang

Yizhuang Xu

Shifu Weng

Weijin Zhou

Zhanlan Yang

Weihong Li

Huizhong Wu

Rongye Gong

Xuejun Gao

Duanfu Xu

Nengwei Zhang

Kaihua Sun

Xuejun Sun

Xiaofeng Ling

Guoqiao Lai

Shimin Ruan

Jianxiong Jiang

Qinghua Pan

Qiguang Wu

Guangyan Yu

Yuhao Bai

Feipeng Cui

Zihao Zhao

Feifei Guo

Suping Li

Yanhua Tian

Xia Dong

Dujin Wang

Xiaoming Su

Deqing Zhang

Mingshu Yang

A resource scheduling method and apparatus, a device, and a storage medium are provided, and relates to the field of computer technology, and in particular to the field of deep learning technology. The method includes: acquiring a graphics processing unit (GPU) topology relationship of a cluster according to GPU connection information of each of computing nodes in the cluster; and in a case where a task request, for applying for a GPU resource, for a target task is received, determining a target computing node of the target task and a target GPU in the target computing node according to the task request and the GPU topology relationship, to complete GPU resource scheduling of the target task. The present disclosure can optimize the resource scheduling.

Resource scheduling method, device, and storage medium

An adaptive characteristic spectral line screening method and system based on atomic emission spectrum are provided, the method includes: using a set characteristic screening optimization method to perform a plurality of optimization rounds of characteristic screening, obtaining an initialized spectral dataset of each round of the characteristic screening and initialized characteristic population genes; obtaining an optimal characteristic population gene of each round by a set analysis method, a fitness function, and an iteration of a genetic algorithm; obtaining an optimized characteristic spectral information set when the plurality of optimization rounds reach set optimization rounds; performing combination statistics and discriminant analyses on the optimized characteristic spectral information set to complete an adaptive characteristic spectral line screening. The disclosure can efficiently and automatically screen out the characteristic spectral lines that meet the analysis requirements in the complex atomic emission spectrum, thus ensuring the effectiveness and accuracy of screening the characteristic spectral lines.

Adaptive characteristic spectral line screening method and system based on atomic emission spectrum

The display substrate includes a base substrate () including a display area (AA) and a peripheral area (BB) on at least one side of the display area (AA); and an infrared sensor () on the base substrate (). The infrared sensor () is integrated in the peripheral area (BB). The infrared sensor () includes a first electrode (), a photoelectric conversion function layer () and a second electrode () that are arranged in a stacked manner. The first electrode () is arranged adjacent to the base substrate (), the second electrode () is made of a transparent conductive material, and the infrared sensor () collects infrared rays reflected by an eye from a side where the second electrode () is located.

Display substrate, display panel, and near-eye display device and display method thereof

A light emitting base plate and a fabricating method thereof, and a displaying device. In the present disclosure, a light shielding layer is provided on a substrate, a driving functional layer is provided on the light shielding layer, and a light-emitting-device layer and a light absorbing layer are provided on the driving functional layer; the light-emitting-device layer includes a plurality of light emitting devices, and the light absorbing layer includes light absorbing structures each of which surrounds sides of one of the light emitting devices; and the light absorbing structures are configured for blocking light rays exiting from the sides of the light emitting devices.

Light emitting base plate and fabricating method thereof, and displaying device

A light-emitting substrate includes a transparent substrate; a first metal light-shielding layer, a wiring layer and light-emitting devices. The first metal light-shielding layer is disposed on the transparent substrate. The wiring layer is disposed on a side of the first metal light-shielding layer away from the transparent substrate, and the wiring layer includes circuit traces and pads. Orthographic projections of the circuit traces and the pads on the transparent substrate are all located within an orthographic projection of the first metal light-shielding layer on the transparent substrate. The light-emitting devices are disposed on a side of the wiring layer away from the transparent substrate, and electrically connected to some of the pads; and orthographic projections of the light-emitting devices on the transparent substrate are located within the orthographic projection of the first metal light-shielding layer on the transparent substrate.

Light-emitting substrate and method for manufacturing the same, and display apparatus

Disclosed is a visual imaging device based on PS-OCT for early demineralization and caries of dental hard tissues, comprising a laser light source for emitting a laser light, a coupler for receiving and dividing the laser light emitted by the laser light source into a reference laser light and a detection laser light; wherein the reference laser light backtracking to the coupler and the detection laser light backtracking to the coupler are coupled and then passed through a transmission grating and a convex lens to input as an optical signal into a linear CCD detector for converting the optical signal into an electrical signal which is then input to a computer control system and collected by a built-in capture card; and the computer is configured to perform a three-dimensional reconstruction of an image and perform two-dimensional cross-section image analysis; and the computer control system is connected to the scanning galvanometer to control a vibration of the scanning galvanometer. The device of the present application can be used for performing PS-OCT imaging detection of the dental hard tissue surface in the oral cavity of a subject. The computer control system automatically performs two-dimensional cross-section imaging and three-dimensional reconstruction imaging of the image, thereby completing a three-dimensional quantitative evaluation. The present application provides a new method for clinically detecting early demineralization of dental hard tissue with high resolution.

Visual imaging device based on PS-OCT for early demineralization and caries of dental hard tissues

The present disclosure relates to the field of display technology, and proposes a display panel, a preparation method thereof, and a display apparatus. The display panel includes an array substrate, a planarization layer group, and a plurality of sub-pixels. The array substrate includes a switch array formed by a plurality of switch units. The planarization layer group is provided on the array substrate, and nano-scale grooves are provided on the planarization layer group. The sub-pixels are provided on a side of the planarization layer group away from the array substrate. The sub-pixel includes a plurality of first electrodes, wherein the first electrode is connected to the switch unit of the array substrate, a nano-scale second gap is provided between two adjacent first electrodes, and an orthographic projection of the second gap on the array substrate is located within an orthographic projection of the groove on the array substrate.

Display panel, preparation method thereof, and display apparatus

Disclosed are a fingerprint recognition sensor, a manufacturing method, and a display device. The fingerprint recognition sensor includes a base substrate, a thin film transistor, on a side of the base substrate; and a photosensitive element, on a side of the base substrate away from the thin film transistor, the thin film transistor, the base substrate, and the photosensitive element are sequentially stacked in a thickness direction perpendicular to the base substrate, the base substrate includes a conductive structure penetrating through the base substrate in the thickness direction perpendicular to the base substrate, and the photosensitive element is connected with the thin film transistor through the conductive structure.

Fingerprint recognition sensor and manufacturing method thereof, and display device

A method and apparatus for generating a model, and a method and apparatus for recognizing information are provided. An implementation of the method for generating a model includes: acquiring a to-be-converted model, a topology description of the to-be-converted model, and device information of a target device; converting, based on the topology description and the device information, parameters and operators of the to-be-converted model to obtain a converted model applicable to the target device; and generating a deep learning prediction model based on the converted model. This embodiment enables the conversion of an existing model to a deep learning prediction model that can be applied to a target device.

Method and apparatus for generating model, method and apparatus for recognizing information

The disclosure relates to a display device including: an organic light-emitting diode display panel, a fingerprint recognition layer located below the organic light-emitting diode display panel, and a light filtering layer located between the organic light-emitting diode display panel and the fingerprint recognition layer, where the light filtering layer is configured to filter out light rays with an incidence angle greater than a filter angle among light rays carrying fingerprint line information, and to transmit light rays with an incidence angle smaller than or equal to the filter angle, where the incidence angle is the angle between the light rays carrying fingerprint line information, and the direction perpendicular to the fingerprint recognition layer.

Display device

A photosensitive sensor and a method of manufacturing the photosensitive sensor are disclosed. The photosensitive sensor includes a thin film transistor and a photosensitive element on a substrate, wherein the photosensitive element includes a first electrode, a second electrode, and a photosensitive layer between the first electrode and the second electrode. The second electrode is connected to a drain electrode of the thin film transistor. An orthographic projection of an active layer of the thin film transistor on the substrate is within an orthographic projection of the second electrode on the substrate. The second electrode includes at least two stacked conductive layers, at least one of the at least two stacked conductive layers being a light shielding metal layer.

Photosensitive sensor, manufacturing method of the same, and electronic device

An apparatus and method for processing a frequency offset of a pilot and a receiver where the includes: calculating a correlation function of a channel by using a receiving or received signal and a correlation length; calculating a phase to which the correlation length corresponds according to the correlation function; and calculating a corresponding slope according to phases to which at least two correlation lengths correspond when the phase to which the correlation length corresponds is greater than 2&#x3c0;, and estimating a frequency offset of a pilot of the channel based on the slope. Hence, estimation of a frequency offset of a pilot may be accurately achieved, thereby accurately judging channel spacing.

Apparatus and method for processing a frequency offset of a pilot and receiver

A signal processing apparatus and method for monitoring channel spacing which may be configured in a receiver and includes: a first determining unit to determine a frequency range of a pilot of a center channel and a frequency range of a pilot of a neighboring channel using a receive signal; a second determining unit to determine a center channel frequency offset of the center channel pilot according to the center channel frequency range, and determine a frequency offset of the neighboring channel pilot according to the neighboring channel frequency range; and a third determining unit to determine channel spacing between the center channel and the neighboring channel according to the center channel frequency offset, the neighboring channel frequency offset and a frequency of a pilot signal at a transmitter side.

Signal processing apparatus, apparatus and method for monitoring channel spacing and system

A system performance prediction method and apparatus where the transmission system performance prediction apparatus includes: a calculating unit configured to calculate system performance at second power according to first power of a signal and a first noise component generated by the system at the first power. With the above system performance prediction apparatus, by changing power and predicting the system performance by using noise components at different power, accuracy of the prediction of the system performance may be improved, and problems in the related art may be avoided that in predicting system performance, a large-capacity database needs to be prepared and accuracy of the prediction of the system performance is low.

System performance prediction method and apparatus

A detection apparatus and method for noise intensity and a coherent optical receiver where the detection method includes: preprocessing a received signal to obtain a pilot sequence contained in the received signal; removing a phase noise of a receiving pilot sequence by using a known transmitting pilot signal; calculating a noise power density of the receiving pilot sequence with no (or without) phase noise within a predetermined spectral width near a pilot frequency; and calculating power of a linear noise of the received signal based on a bandwidth of the received signal and the noise power density within the predetermined spectral width. Hence, linear noises and nonlinear noises may be split efficiently without introducing much complexity, and information on intensities of various noises may be obtained.

Detection apparatus and method for noise intensity and coherent optical receiver

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Beijing, China

Ying Zhao