Beijing Xiaomi Pinecone Electronics Co., Ltd.

Beijing University of Technology

Southwest Petroleum University

China University of Geosciences (wuhan)

China University of Petroleum

Beijing Aerospace Institute for Metrology and Measurement Technology

Yan Song

Zhi Qu

Yasen Zhang

Zhipeng Ge

Ruoyu Liu

Hao Liu

Jianfeng Wang

Yali Wang

Lei Chen

Kun Zhang

Xiaoyu Ma

Xueying Wang

Bin Li

Xinyang He

Yinxiao Miao

Yipeng Liu

Fengli Han

Xuefei Yang

Hengfeng Gou

Jingru Ruan

Suping Cui

Zhitao Zhang

Hulin Niu

Ping Liu

Weishi Tang

Mingzhang Lan

Shu Jiang

Lintao Li

Yi Zhang

Jiayi Liu

Chengzao Jia

Yi Shu

Xiong Ding

Jun Peng

Lu Lu

Tieli Zhang

Binsong Zheng

Jinhua Liu

Yi Xiao

Zeyun Wang

Yiting Qiao

Laiting Ye

Meijia Wu

Lin Jiang

Zhenxue Jiang

Beibei Wang

Weiwei Wu

Xiaoqiang Gao

Yongyao Xu

Yan Wang

Lei Chang

A method for quantitative evaluation of self-sealing property of organic-rich shale includes: S1, selecting geological parameters for evaluating the self-sealing property of the organic-rich shale; S2, taking organic-rich shale samples, and measuring the geological parameters of each sample; S3, calculating a weight coefficient w; of each geological parameter; S4, calculating a self-sealing evaluation coefficient S, and correcting the S to obtain a corrected self-sealing evaluation coefficient S'; S5, establishing a self-sealing evaluation standard of the organic-rich shale according to the S′, wherein if S′≥0.6, the self-sealing grade is excellent, if 0.45≤S′<0.6, the self-sealing grade is good, if 0.3≤S′<0.45, the self-sealing grade is medium, and if S′<0.3, the self-sealing grade is poor. According to the method, the self-sealing property of the shale is quantitatively evaluated, and the preservation condition of the shale gas in the shale formation can be more accurately predicted.

Method for quantitative evaluation of self-sealing property of organic-rich shale

A method for automatically locking frequency of an optical frequency comb is performed through locking the microwave repetition frequency signal and the microwave carrier-envelop offset frequency signal of the optical frequency comb. The microwave repetition frequency signal is subjected to filtering, frequency division, and phase discrimination with a first reference signal to obtain a first error signal. A first output frequency of the frequency synthesizer is adjusted based on a direction of the first error signal and a first voltage signal. The microwave offset frequency signal is subjected to filtering, frequency division, and phase discrimination with a second reference signal to obtain a second error signal. A second output frequency of the frequency synthesizer is adjusted based on a direction of the second error signal and a second voltage signal.

Method and device for automatically locking repetition frequency and carrier-envelop offset frequency of optical frequency comb

A method for detecting an occluded image. The method includes: after an image is captured by a camera, obtaining the image as an image to be detected; inputting the image to be detected into a trained occluded-image detection model, the occluded-image detection model is trained based on original occluded images and non-occluded images by using a trained data feature augmentation network; determining whether the image to be detected is an occluded image based on the occluded-image detection model; and outputting an image detection result.

Method and apparatus for detecting occluded image and medium

A method for detecting a finger occlusion image includes: N first original occlusion images and M first non-occlusion images are acquired, and first training data set is generated based on first original occlusion images and first non-occlusion images; first training is performed, based on first training data set, on neural network model for detection of finger occlusion image; L second original occlusion images and K second non-occlusion images are acquired, and second training data set is generated based on second original occlusion images and second non-occlusion images; linear classifier in neural network model having completed first training is replaced with iterative training module to form finger occlusion image detection model; second training is performed on finger occlusion image detection model based on second training data set; image to be detected is input into trained finger occlusion image detection model, to determine whether image to be detected is finger occlusion image.

Method and apparatus for detecting finger occlusion image, and storage medium

Synthesis and application of an alcohol amine with an extended main carbon chain are provided, belonging to the field of chemical building materials. Under the action of a catalyst, tertiary amine is subjected to a two-step substitution reaction, a hydrolytic reaction and a reducing reaction to obtain a novel alcohol amine (NAA). The novel alcohol amine as provided may have a better grinding aid effect than triethanolamine while is added into cement as a cement grinding aid, and thus has a wide application prospect.

Synthesis and application of alcohol amine with expended main carbon chain

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Beijing, China

Yan Song