Hyundai Motor Company

Tsinghua University

Kia Corporation

University of Science and Technology Beijing

North China Institute of Science and Technology

Nsfocus Information Technology Co., Ltd.

Beijing Anke Xingye Science and Technology Co., Ltd.

Beijing Anke Technology Co., Ltd.

Gang Yao

Tao Zhou

Liangrui Peng

Jinhai Liu

Jong Ub Suk

Yitong Huang

Quande Wei

Shengjin Wang

Shanyu Xiao

Ruijie Yan

Sitao Zhu

Tao N Zhang

Xiao Han

Chao Wang

Peng Han

Xiufeng Zhang

Jaesik Min

Huan Li

Lijun Cheng

Gaoang Wang

Qingbo He

Zhen Kong

Fuxing Jiang

Shaohua Sun

Xiaocheng Qu

Longkai Hao

Xiaoguang Shang

Jiajie Li

Xuyou Wang

Shidong Li

Huadong Xie

A method for monitoring hydraulic fracturing range of a surface vertical shaft is provided by the present disclosure, belonging to the technical field of ultrahigh-pressure hydraulic fracturing monitoring of the coal mine vertical shafts. The method comprises the following steps: connecting, by an eight-thread communication cable, a high-precision portable micro-seismic monitoring acquisition instrument to a high-sensitivity deep hole sensor, and performing uphole-crosshole-downhole monitoring simultaneously, specifically as follows: providing uphole-crosshole-downhole monitoring holes respectively, and installing deep hole geophones in the monitoring holes; then laying communication cables uphole-crosshole-downhole to connect the geophones to the portable high-precision micro-seismic acquisition instrument respectively; then performing high-precision positioning on the fissure development range by monitoring recorded events and time, thus determining the directions and ranges of a main fracture and secondary induced fractures of hydraulic fractures.

Method for monitoring hydraulic fracturing range of surface vertical shaft

A method and a system for detecting a scene text may include extracting a first feature map for a scene image input based on a convolutional neural network, and delivering the first feature map to a sequential deformation module; obtaining sampled feature maps corresponding to sampling positions by performing iterative sampling for the first feature map, obtaining a second feature map by performing a concatenation operation in deep learning according to a channel dimension for the first feature map and the sampled feature maps; obtaining a third feature map by performing a feature aggregation operation for the second feature map in the channel dimension, and delivering the third feature map to the object detection baseline network; and performing text area candidate box extraction for the third feature map and obtaining a text area prediction result as a scene text detection result through regression fitting.

Scene text detection method and system based on sequential deformation

The present disclosure provides a coal bump control method for sectional hydraulic fracturing regions of a near vertical ultra thick coal seam. The method includes: deepening a main shaft from a mining level to a fracturing level; excavating a cross-hole from a roof rock layer of a coal seam at the fracturing level to enter a coal seam being mined, and excavating a roadway along the strike of the coal seam; and drilling hydraulic fracturing boreholes in a dedicated fracturing roadway along an inclination angle of the coal seam to the coal seam above the roadway, wherein the length of the borehole makes the borehole in communication with a goaf, and the spacing of the boreholes along the strike and the sectional spacing of the boreholes in an inclination direction are designed according to the parameters of fracturing equipments and the fracturing length.

Coal bump control method for sectional hydraulic fracturing regions of near vertical ultra thick coal seam

A method of multi-directional scene text recognition based on multi-element attention mechanism include: performing normalization processing for a text row/column image output from an external text detection module by a feature extractor, extracting a feature for the normalized image by using a deep convolutional neural network to acquire an initial feature map, adding a 2-dimensional directional positional encoding P to the initial feature map in order to output a multi-channel feature map, converting the multi-channel feature map output from a feature extractor by an encoder into a hidden representation, and converting the hidden representation output from the encoder into a recognized text by a decoder and using the recognized text as the output result.

Multi-directional scene text recognition method and system based on multi-element attention mechanism

The present invention discloses a device and method for data matching and a device and method for network intrusion detection. The method for data matching includes: searching in a regular expression set one or more complex regular expressions causing a sharp increase in number of states generated based on a regular expression during interaction; constructing a corresponding simplified expression for each complex regular expression; compiling a simplified state machine; compiling one or more substate machines, wherein each of the one or more substate machines is compiled based on a corresponding one of the one or more complex regular expressions; and matching data based on the simplified state machine and the one or more substate machines. The present invention further discloses a device for data matching employing the method for data matching and a device and method for intrusion detection employing the device and method for data matching.

Device and method for data matching and device and method for network intrusion detection

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Beijing, China

Gang Yao