Beijing Xiaomi Mobile Software Co., Ltd.

The Ncs Testing Technology Co., Ltd.

Beijing Jingdong Shangke Information Technology Co., Ltd.

Beijing Jingdong Century Trading Co., Ltd.

Powervision Robot Inc.

Boe Technology Group Co., Ltd.

Hefei Boe Optoelectronics Technology Co., Ltd.

Taiho Pharmaceutical Company Limited

Beijing Zhenhealth Technology Co., Ltd.

Ncs Jiangsu Testing Technology Co., Ltd.

Lei Yu

Yunhai Jia

Liangjing Yuan

Qiaochu Zhang

Liang Sheng

Yang Liu

Wei Hong

Wei Sun

Yajun Zhu

Wei Chen

Weifeng Zheng

Li Li

Dongdong Zhang

Kui Gong

Haizhou Wang

Hongwei Wang

Shanshan Xu

Guangjun Qiao

Mary-Luc Georges Henry Champel

Cheng Jin

Yuhu Zhang

Toshio Otani

Yun Wu

Nobuhiko Katsunuma

Kenichiro Yoshida

Liming Dai

Hongyang Jiang

Toru Sasaki

Xiaoke Hao

Shaoyin Li

Chunyan Zhang

Ru Xu

Baibing Li

Xiaofen Zhang

Shizuo Kitano

The present disclosure provides a method and apparatus for obtaining a map of an Internet of things device. The method is applicable to a first device with a camera and being moveable, and includes: determining a map of an area; and transmitting the map to a control system for controlling one or more IoT devices.

Method and apparatus for obtaining map of internet of things device

A vehicle control method includes: in response to obtaining a target received signal strength indication (RSSI) value of ranging broadcast information sent by a mobile terminal, obtaining a target mapping relationship matching a device model of the mobile terminal, where the target mapping relationship includes a mapping relationship between a RSSI value and a distance between the mobile terminal and a vehicle; based on the target mapping relationship, determining a target distance corresponding to the target RSSI value; and in response to determining that the target distance is less than or equal to a preset distance threshold, controlling the vehicle associated with the on-board terminal to unlock a door lock.

Vehicle control method, on-board terminal and storage medium

The biometric feature verification method includes: extracting a first biometric feature from collected data; sending a second biometric feature to a second end according to the first biometric feature, the second biometric feature being the first biometric feature or being determined according to the first biometric feature; and receiving a result of verification performed by the second end on the second biometric feature by combining a first part of a sample feature and a second part of the sample feature stored in the second end, the first part being stored in the first end or a third end.

Biometric feature verification method and apparatus, electronic device, and storage medium

The present disclosure relates to a policy determining method, a network device, and a storage medium. The policy determining method is executed by a network device, and includes: obtaining a plurality of policy requests for one or more terminals in a terminal group; and determining a first policy request among the plurality of policy requests, the first policy request being configured to update a policy of the terminal group.

Policy determining method and device, and storage medium

A method, device and apparatus for differentiating arteries and veins of retinal vessels are provided. The method includes acquiring a vessel extraction image, a fundus image, and optic disc center coordinate; extracting a main vessel according to the vessel extraction image, the fundus image and the optic disc center coordinate to obtain a main vessel image, and intercepting the main vessel based on the main vessel image to obtain multiple single vessel segments; measuring diameters of the multiple single vessel segments to obtain diameter sizes of the multiple single vessel segments, obtaining multiple artery-vein vessel pairs according to the diameter sizes.

Method, device and apparatus for differentiating arteries and veins of retinal vessels

A single pulse spectral statistical analysis method for particle size distribution of inclusions on a surface of a metal material is provided. The method includes the following steps: analyzing a surface of an oversized metal material through single pulse discharge continuous excitation scanning to obtain mixed intensity data of spectral intensities of solid solution and inclusions of an inclusion element on the surface of the oversized metal material and a relative frequency distribution diagram; performing peak fitting processing on the relative frequency distribution diagram of the mixed spectral intensities to obtain a relative frequency distribution diagram of the spectral intensities of the inclusion; and correlating particle size information of inclusions of a small sample with distribution data of the spectral intensities of the inclusions to determine a corresponding relation between the particle sizes and the spectral intensities of the inclusions, thereby obtaining a particle size distribution result.

Single pulse spectral statistical analysis method for particle size distribution of inclusion on surface of metal material

An ultra-high-speed fully automatic precision spectral analysis system for rare earth metals and its working method is disclosed. The system includes a central control server, a precision numerical control rotary table communicatively connected with the central control server, a sample loading-clamping device, an automatic weighing device, an automatic ranging device, an analyzing surface machining device, a rare-earth spark emission spectrometer, and an automatic marking device; the sample loading-clamping device is arranged to fix a test sample of a rare earth metal, the automatic weighing device is arranged to weigh the test sample in real time, and the automatic ranging device, the analyzing surface machining device, the rare-earth spark emission spectrometer, and the automatic marking device are set up around the precision numerical control rotary table to perform the corresponding work processes respectively.

Ultra-high-speed fully automatic precision spectral analysis system for rare earth metals and working method thereof

A spark spectrometry for inclusions content distribution on the surface of large size metallic materials, comprising the following steps: analyzing the surface of large-size metallic materials by spark discharge continuous excitation scanning, obtaining a mixture intensity distribution data of the solid solution and inclusions of an element on the surface of the large-size metallic materials; the relative frequency distribution diagram of spectral intensity is subjected to peak fitting of normal distribution and Gumbel distribution, obtaining an extreme value distribution data of spectral intensity of the inclusions; a size information of the inclusions in a small sample and that of the largest inclusions are correlated with the spectral intensity distribution data of inclusions, obtaining a result of content distribution of the inclusions on the surface of the large size metallic materials. The invention can quickly obtain accurate distribution information of inclusions of various elements on the surface of metallic materials.

Spark spectrometry for inclusions content distribution on the surface of large size metallic materials

The present disclosure provides a transistor device, a manufacturing method thereof, a display substrate and a display device. The transistor device includes a base substrate, as well as a first transistor and a second transistor that are disposed on the base substrate. The first transistor includes a first active layer. The second transistor includes a second gate. The first active layer and the second gate are disposed in the same layer.

Transistor device, manufacturing method thereof, display substrate and display device

A measurement deviation correction method and system for spark discharge analysis of a large-size metal material includes: performing line-by-line scanning measurement on a surface of the material to obtain a line component content, performing in-line correction on the line component content by adopting a line linear fitting model, and performing inter-line correction by taking a total average value obtained by eliminating an extreme value from a line component content distribution to obtain an inter-line corrected component content; performing column-by-column scanning measurement on the surface of the material to obtain a column component content, performing in-column correction on the column component content by adopting a column linear fitting model, and performing inter-column correction by taking a total average value obtained by eliminating an extreme value from the column component content; and coupling the inter-line corrected component content and the inter-column corrected component content to obtain an optimal measurement component content.

Measurement deviation correction method and system for spark discharge analysis of large-size metal material

Pedestal for unmanned aerial vehicle

Unmanned aerial vehicle

Substance FA-70D, process for producing the same, and uses thereof

Growing community of inventors

Beijing, China

Lei Yu