Boe Technology Group Co., Ltd.

Beijing Didi Infinity Technology and Development Co., Ltd.

Beijing Boe Health Technology Co., Ltd.

Huawei Technologies Co., Limited

Chinese Academy of Sciences

International Centre for Bamboo and Rattan

Siemens Aktiengesellschaft

Beijing Zitiao Network Technology Co., Ltd.

Beijing Baidu Netcom Science Technology Co., Ltd

Lemon Inc.

Tianjin University

China University of Petroleum

Tao Hu

Jing Li

Haochen Cui

Xiaohe Shen

Chungen Yuan

Lijiao Hu

Wei Cui

Xiongqi Pang

Zhilin Hu

Weiqiong Gan

Wenbo Zhang

Yanjun Ma

Lingyu Zhang

Kaijie Qin

Haiyang Lu

Rixiang Zhu

Yaping Wang

Mingcong Sun

Wenyang Wang

Zehui Jiang

Zhangxing Chen

Xiangxin Bao

Yanting Chang

Yayun Deng

Yu Zhang

Zheng Wang

Linjie Luo

Wei Xiong

Xue Yong Zhang

Yue Zhuo

Yao Hu

Yuan Liu

Yin Tan

Wang Zhang

Li Huang

Ping Yang

Teng Wu

Chenxi Zhang

Kuan Shi

Zhongyu Cao

Dong Ming

Xiangbo Su

Yangbiao Liu

Xiaolin Deng

Pengkun Li

Zhenxue Jiang

Stephen Sui Luen Li

Minpeng Xu

Yong Ye

Hongyi Xu

Jun Yin

Zhengwei Wu

Jiahao Lyu

Fujie Jiang

Guanyun Wu

Caijun Li

Meiling Hu

Renda Huang

Yongbin Jiang

Xiaoyu Zhou

Yufei Meng

Zhongyuan Zheng

Mengsi Xia

A method and apparatus for evaluating volumes of discharged hydrocarbon and externally charged hydrocarbon in a mud shale. The method comprises: determining a hydrogen index and a current hydrocarbon generation potential parameter of a mud shale in target block based on total organic carbon test data and pyrolysis analysis test data of the mud shale; determining an original hydrogen index of the mud shale based on the hydrogen index and the pyrolysis analysis test data; and evaluating a volume of discharged hydrocarbon and a volume of externally charged hydrocarbon in the mud shale based on the current hydrocarbon generation potential parameter and the original hydrogen index.

Method and apparatus for evaluating volumes of discharged hydrocarbon and externally charged hydrocarbon in mud shale

A human-computer interaction method, a human-computer interaction apparatus, and a storage medium are provided. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object. According to this application, the user does not need to gaze directly at a visual stimulus and can deliver different operational commands quickly, which improves user experience.

Human-computer interaction method, human-computer interaction apparatus, and storage medium

A detection chip, a method for using a dejection chip, and a detection device are provided. The detection chip includes a chip substrate and a first sealing film that are stacked. The chip substrate includes a first surface, and the first sealing film covers the first surface of the chip substrate. The chip substrate further includes a fluid channel on the first surface, and the fluid channel includes a plurality of membrane valve portions. The membrane valve portions are configured to allow a portion of fee first sealing film covering the membrane valve portions to approach and separate, so as to close and open the fluid channel correspondingly.

Detection chip, method for using detection chip, and detection device

A detection chip, a method for using a detection chip and a detection apparatus are provided the detection chip includes a chip substrate and the chip substrate includes a fluid channel and a plurality of liquid cells. The fluid channel is arranged on a surface if the chip substrate and includes a main path and a plurality of branch paths. The plurality of branch paths are respectively communicated to the plurality of liquid cells, the plurality of branch paths are all communicated to the main path, and communication points between the plurality of branch paths and the main path are different. The plurality of branch paths are configured to allow liquid in the plurality of branch paths to be capable of merging into the main path in a same direction.

Detection chip, method for using detection chip, and detection apparatus

A detection chip and a detection system are provided. The detection chip includes a base substrate, a flow channel defining layer, and at least one driving electrode group. The at least one driving electrode group is on the base substrate, and the flow channel defining layer is on a side of the at least one driving electrode group away from the base substrate, the flow channel defining layer includes a flow channel structure, and the flow channel structure is configured to accommodate liquid; and each of the at least one driving electrode group includes a plurality of driving electrodes, and the plurality of driving electrodes are configured to contact the liquid and drive the liquid to move within the flow channel structure.

Detection chip and detection system

A peony PoWOX11 gene and an application of a coded protein thereof are provided in the present disclosure, belonging to the field of biotechnology. The peony PoWOX11 gene is introduced intoto obtain a transgenicplant stably expressing peony PoWOX11 gene, with bolting and flowering of the transgenicplant delayed; where the peony PoWOX11 gene has a nucleotide sequence as shown in SEQ ID NO. 7, and a protein coded by the peony PoWOX11 gene has an amino acid sequence as shown in SEQ ID NO. 8.

Peony POWOX11 gene and applications of coded protein thereof

Disclosed are a peony PoWOX4 gene and applications of a coded protein thereof, belonging to the field of biotechnology. According to the present disclosure,is taken as a model plant, and the peony PoWOX4 gene is transformed intoto promote the early bolting, flowering and vegetative growth of

Peony PoWOX4 gene and applications of coded protein thereof

Systems and methods are provided that include a processor executing an avatar generation program to obtain driving view(s), calculate a skeletal pose of the user, and generate a coarse human mesh based on a template mesh and the skeletal pose of the user. The program further constructs a texture map based on the driving view(s) and the coarse human mesh, extracts a plurality of image features from the texture map, the image features being aligned to a UV map, and constructs a UV positional map based on the coarse human mesh. The program further extracts a plurality of pose features from the UV positional map, the pose features being aligned to the UV map, generates a plurality of pose-image features based on the UV map-aligned image features and UV map-aligned pose features, and renders an avatar based on the plurality of pose-image features.

Avatar generation based on driving views

A detection chip is disclosed. The detection chip includes a sample injection structure, a filter structure, and a reaction structure which are sequentially connected. The filter structure includes a first main body, and a first inlet portion and a first outlet portion respectively on two sides of the first main body. A width of the first inlet portion gradually decreases in a direction away from the first main body, and a width of the first outlet portion gradually decreases in a direction away from the first main body.

Detection chip

A human behavior recognition method, a device, and a storage medium are provided, which are related to the field of artificial intelligence, specifically to computer vision and deep learning technologies, and applicable to smart city scenarios. The method includes: obtaining attribute information of a target object and N pieces of candidate behavior-related information of a target human from a target image, wherein N is an integer greater than or equal to 1; determining target behavior-related information based on comparison results between the N pieces of candidate behavior-related information and the attribute information of the target object; and determining a behavior recognition result of the target human based on the target behavior-related information.

Human behavior recognition method, device, and storage medium

A method, system and device for comprehensively characterizing a lower limit of oil accumulation of a deep marine carbonate reservoir is provided, aiming to solve the problem that the prior art cannot: accurately determine the lower limit of oil accumulation of the deep marine carbonate reservoir, which leads to the difficulty in predicting and identifying deep effective reservoirs. The method includes: determining lower limit porosity and permeability for oil accumulation based on a boundary line; determining lower limit porosity and permeability for oil accumulation based on a movable oil ratio of a core sample; determining a lower limit pore throat radius for oil accumulation based on a mercury injection experiment; and comprehensively characterizing the lower limit of oil accumulation of a deep marine carbonate reservoir to be predicted. The method, system and device can predict and identify deep effective reservoirs.

Method for comprehensively characterizing lower limit of oil accumulation of deep marine carbonate reservoir

A method, system and device for predicting an oil accumulation depth limit of deep and ultra-deep marine carbonate reservoirs is provided. The method includes: obtaining geological factors acting on a porosity of a deep/ultra-deep marine carbonate reservoir, standardizing absolute values of the geological factors; calculating a porosity of the deep/ultra-deep marine carbonate reservoir; acquiring ratios of oil, water and dry layers in each M % porosity interval, and acquiring a relationship between a dry layer ratio and the porosity of the deep/ultra-deep marine carbonate reservoir; recursively obtaining a relationship between the dry layer ratio and the burial depth and determining the oil accumulation depth limit of the deep/ultra-deep marine carbonate reservoir. The method, system and device solves the problem that the prior art cannot by predicting the oil accumulation depth limit directly through the relationship between the dry layer ratio and the depth.

Method for predicting oil accumulation depth limit of deep and ultra-deep marine carbonate reservoirs

The present disclosure is drawn to systems and methods for implementing authentication protocols based on trusted execution environments. Each of a principal device, an identity provider server and a service provider server are associated with a respective trusted execution environment. Authentication protocols are provided for registering the principal device to the identity provider server; authenticating the principal device to the identity provider server; and authenticating the principal device to a service provider server.

Security enhanced technique of authentication protocol based on trusted execution environment

The present disclosure discloses an order allocation method. The method may include: receiving orders and extracting order information; extracting service provider information and obtaining features of service providers; determining whether the order information matches the features of the service providers, or determining whether the features of the service providers satisfy a preset condition to generate a determination result; ranking the service providers based on the determination result; generating orders to be allocated; and allocating the orders to be allocated to the service providers based on the ranking. The present disclosure also discloses an order allocation system that can perform the method above.

Methods and systems for order processing

A method and apparatus are for abnormality detection. The method includes: acquiring an estimated value of a movement parameter of a mobile platform of a parallel robot. The estimated value is calculated based on sensing information about a sensor mounted on the mobile platform. Based on the estimated value and a designated value of the movement parameter, the method includes determining whether an abnormality occurs in the parallel robot. By way of the method and apparatus, abnormality of a parallel robot can be detected reliably.

Method and apparatus for abnormality detection

Growing community of inventors

Beijing, China

Tao Hu