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公开(公告)号：US20200380366A1
公开(公告)日：2020-12-03
申请号：US16999118
申请日：2020-08-21
Inventor： SHUQIANG WANG , YANYAN SHEN , WENYONG ZHANG
Abstract: The present disclosure relates to an enhanced generative adversarial network and a target sample recognition method. The enhanced generative adversarial network in the present disclosure includes at least one enhanced generator and at least one enhanced discriminator, where the enhanced generator obtains generated data by processing initial data, and provides the generated data to the enhanced discriminator; the enhanced discriminator processes the generated data and feeds back a classification result to the enhanced generator; the enhanced discriminator includes: a convolution layer, a basic capsule layer, a convolution capsule layer, and a classification capsule layer, and the convolution layer, the basic capsule layer, the convolution capsule layer, and the classification capsule layer are sequentially connected to each other.
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12.发明授权公开(公告)号：US10833964B2
公开(公告)日：2020-11-10
申请号：US16490609
申请日：2017-03-13
Inventor： Wenchao Li , Jiehong Liu , Hui Huang
Abstract: The present disclosure provides a visual analytical method for a network system structure and a network communication mode including following steps: pre-processing network traffic flow log data; dividing and analyzing network nodes by utilizing a visualization technology according to the pre-processed data, and combining a user interaction to determine server nodes and client nodes in the network nodes; performing a visual analysis on traffic flow and an access situation of the server nodes to determine a server function category according to the determined server nodes; and presenting and analyzing the network communication mode through the visualization technology according to the determined server nodes, the client nodes and the server function category. The present disclosure further provides a visual analytical system for the network system structure and the network communication mode.
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公开(公告)号：US20200312459A1
公开(公告)日：2020-10-01
申请号：US16901033
申请日：2020-06-15
Inventor： YE LI , XIAOMAO FAN , QIHANG YAO , LIYAN YIN
Abstract: The present disclosure provides an atrial fibrillation signal recognition method, apparatus and device. The method comprises: obtaining an electrocardiogram signal to be recognized; inputting the electrocardiogram signal to be recognized to a pre-established atrial fibrillation signal recognition model, and outputting an atrial fibrillation signal recognition result, where the atrial fibrillation signal recognition model is established in the following way: obtaining a specified number of electrocardiogram sample signals and corresponding identifier information; balancing, according to the number of normal signals, atrial fibrillation signals by means of SMOTE; establishing a network structure of multiple convolutional neural networks, each of the convolutional neural networks being provided with a specific receptive field for recognizing the atrial fibrillation signals of a corresponding granularity; and inputting the normal signals and the balanced atrial fibrillation signals to the network structure for training to generate an atrial fibrillation signal recognition model.
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公开(公告)号：US10782379B2
公开(公告)日：2020-09-22
申请号：US16645798
申请日：2015-12-30
Inventor： Hairong Zheng , Xin Liu , Chuanli Cheng , Chao Zou
IPC: G01R33/565 , A61B5/055
Abstract: A method, an apparatus, and a device for magnetic resonance chemical shift encoding imaging are provided. The method includes in a phasor-error spectrum established based on a simplified multi-point magnetic resonance signal model, determining a pixel point having a unique phase factor value and causing the phasor-error spectrum to reach a local minimum value as an initial seed point; estimating a phase factor value of a pixel point to be estimated according to the initial seed point to obtain a field map; mapping and merging the field maps at the highest resolution to obtain a reconstructed field map; determining a reconstructed seed point from the reconstructed field map, and estimating the reconstructed seed point to obtain a phase factor value of a reconstructed pixel point to be estimated.
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公开(公告)号：US10710249B2
公开(公告)日：2020-07-14
申请号：US16341454
申请日：2016-11-14
Inventor： Yongfeng Wang , Guoru Zhao , Jing Yang , Xiaojun Zhang
Abstract: The present disclosure relates to a robot, and provides a 3 degree-of-freedom parallel mechanism with 3 branched-chains, which includes a fixed platform, a movable platform, and three arc-shaped connecting rods. The rotation axes of three arc-shaped connecting rods are intersected with each other and each rotation axes is parallel to the fixed platform. Each arc-shaped connecting rod has a sliding slot curved extending along a longitudinal direction. The three connecting shafts one-to-one corresponds to the three arc-shaped connecting rods and are disposed on the movable platform. A first end of each connecting shaft is fixedly connected with the movable platform. A second end is hinged joint with a connecting head. The connecting head is slid and disposed in the corresponding sliding slot.
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Patent Agency Ranking
公开(公告)号：US20200038692A1
公开(公告)日：2020-02-06
申请号：US16492405
申请日：2017-04-21
Inventor： Hairong Zheng , Hui Zhou , Lili Niu , Ruibiao Guo , Long Meng , Yongchuan Li , Min Su , Jiquing Huang , Ming Qian
Abstract: Provided is a conscious animal ultrasonic neural regulation device, including a pulse signal generation module, a transducer module and a fixing module. The pulse signal generation module is configured to generate a pulse signal with high energy. The ultrasonic transducer module is configured to convert the pulse signal into an ultrasound. The fixing module includes an upper fixing module and a lower fixing module. The upper fixing module is configured to fix the ultrasonic transducer module, and the lower fixing module is configured to be fixed on an animal neural regulation target point. The upper fixing module and the lower fixing module are connected by a connecting component. The conscious animal neural regulation device of the present disclosure can perform accurate ultrasonic stimulation on a cerebral cortex and subcortex of the animal, thereby exploring and verifying the stimulation effect of the ultrasound on the animal, which is easy in operation and convenient in use.
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17.发明申请公开(公告)号：US20190206052A1
公开(公告)日：2019-07-04
申请号：US16236366
申请日：2018-12-29
Inventor： Qingmao Hu , Liyilei Su , Xiaodong Zhang , Xianjun Fu
Abstract: The present application relates to the technical field of image recognition, and provides a carpal segmentation and recognition method, including: performing threshold segmentation on a carpal region of interest on a child orthotopic wrist X-ray image based on an adaptive threshold segmentation manner of variable threshold segmentation windows, and extracting edge information of the carpal region of interest based on an edge detection manner; combining a binarized image obtained by performing the threshold segmentation with the extracted edge information to obtain an initial segmentation image; performing carpal recognition on the initial segmentation image by using a carpal anatomy priori model to obtain an initial recognition image including information of each carpal bone; and performing boundary optimization on the initial recognition image, and outputting a carpal recognition image obtained after the boundary optimization is performed.
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公开(公告)号：US20190011515A1
公开(公告)日：2019-01-10
申请号：US16067204
申请日：2015-12-30
Inventor： Hairong Zheng , Xin Liu , Chuanli Cheng , Chao Zou
IPC: G01R33/48 , G01R33/565 , G01R33/485 , G01R33/46 , A61B5/055 , G01R33/44 , G01R33/56
Abstract: Provided are a magnetic resonance chemical-shift-encoded imaging method, apparatus, and device, belonging to the technical field of magnetic resonance imaging. The method comprises: in a phasor-error plot established on the basis of a two-point magnetic resonance signal model, determining to be an initial seed point a pixel having a unique phasor and causing said plot to reach a minimal local value; according to the initial seed point, estimating the phasor value of a to-be-estimated pixel to obtain a field map; mapping and merging the field map at the highest resolution to obtain a reconstructed field map; determining a reconstructed seed point from the reconstructed field map, and estimating the reconstructed seed point to obtain the phasor value of the reconstructed to-be-estimated pixel; according to the reconstructed seed point and the phasor value of the reconstructed to-be-estimated pixel, obtaining two separate images having predetermined components. In the method, a region simultaneously containing two components is identified as a seed point, eliminating the deviation caused by phasor-value jump at high resolution and ensuring the correctness of the seed point ultimately selected.
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公开(公告)号：US10121283B2
公开(公告)日：2018-11-06
申请号：US15371148
申请日：2016-12-06
Inventor： Hui Huang , Kangxue Yin , Daniel Cohen-Or
Abstract: A method for reconstructing surface from a point cloud includes following steps: (a) extracting skeletal curves from an input point cloud; (b) editing the extracted skeletal curves, and assigning sweeping path; (c) obtaining sliced point clouds along the edited skeletal curves, and fitting a closed NURBS curve according to the sliced point clouds; (d) reconstructing the point cloud to get generalized cylinders along the assigned sweeping path, according to the closed NURBS curves; (e) merging the generalized cylinders into a single surface, and smoothing intersections of the generalized cylinders so as to reconstruct surface from the point cloud. The invention further relates to a system for reconstructing surface from a point cloud. The invention can reconstruct the surface with high accuracy by the minimum interactions, and can deal with point cloud data having missing region caused by occlusion. In addition, the invention can achieve high reconstruction quality and fine controllability.
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20.发明授权公开(公告)号：US10089781B2
公开(公告)日：2018-10-02
申请号：US15389959
申请日：2016-12-23
Inventor： Hui Huang , Shihao Wu , Minglun Gong , Matthias Zwicker , Daniel Cohen-Or
Abstract: The present disclosure provides a three-dimensional point cloud model reconstruction method and a device. The method comprises: 1) sampling and WLPO-consolidating an input point set to generate an initial surface point set, copying the initial surface point set as an initial position of an interior skeleton point set, to establish a correspondence relation between surface points and skeleton points; 2) moving points in the interior skeleton point set inwards along a direction opposite to a normal vector thereof, to generate interior points; 3) using a self-adaptive anisotropic neighborhood as a regularization term to perform an optimization of the interior points, and generating skeleton points; 4) performing a consolidation and completion of the initial surface point set using the skeleton points, to generate consolidated surface points; 5) reconstructing a three-dimensional point cloud model according to the skeleton points, the surface points and the correspondence relation between the surface points and the skeleton points.
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