ENHANCED GENERATIVE ADVERSARIAL NETWORK AND TARGET SAMPLE RECOGNITION METHOD

    公开(公告)号:US20200380366A1

    公开(公告)日:2020-12-03

    申请号:US16999118

    申请日:2020-08-21

    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.

    Visual analytical method and system for network system structure and network communication mode

    公开(公告)号:US10833964B2

    公开(公告)日:2020-11-10

    申请号:US16490609

    申请日:2017-03-13

    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.

    VISUAL CONTINUOUS SPATIAL DIRECTED EVOLUTION METHOD

    公开(公告)号:US20200332282A1

    公开(公告)日:2020-10-22

    申请号:US16904549

    申请日:2020-06-17

    Abstract: A visual continuous spatial directed evolution method is disclosed. The host grows and moves in a solid culture space, the host carrying a foreign target gene to be evolved and containing a gene element that assists the evolution of the target gene, the target gene being correlated with the growth and movement of the host. Depending on different spatial distribution patterns formed in the solid culture space during the growth and movement of the host, screening is performed to obtain an evolved product. This method is carried out directly in the solid culture space. Depending on images of different spatial distribution morphologies visible to the naked eye that are locally formed, selection of evolved products is performed without the need for liquid fed-batch culture equipment. In addition, the evolution effect is visually observed through the infection spots formed during evolution, so that no real-time monitoring equipment is required.

    ATRIAL FIBRILLATION SIGNAL RECOGNITION METHOD, APPARATUS AND DEVICE

    公开(公告)号:US20200312459A1

    公开(公告)日:2020-10-01

    申请号:US16901033

    申请日:2020-06-15

    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.

    Method, apparatus, and device for magnetic resonance chemical shift encoding imaging

    公开(公告)号:US10782379B2

    公开(公告)日:2020-09-22

    申请号:US16645798

    申请日:2015-12-30

    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.

    Method and Device for Acquiring Biomechanical Parameters Based on Ultrasonic Elastomyogram

    公开(公告)号:US20200229794A1

    公开(公告)日:2020-07-23

    申请号:US16482802

    申请日:2017-12-26

    Abstract: A method and a device for acquiring biomechanical parameters based on an ultrasonic elastomyogram are provided, wherein the method includes: synchronously collecting a dynamic myodynamics image sequence and a dynamic elasticity image sequence of a single skeletal muscle under continuous stretching; acquiring a myodynamics parameter corresponding to each myodynamics image in the dynamic myodynamics image sequence and an elasticity modulus value corresponding to each elasticity image in the dynamic elasticity image sequence respectively; and generating an ultrasonic elastomyogram curve with the myodynamics parameter as the abscissa and the synchronized elasticity modulus value as the ordinate, and estimating a muscle biomechanical parameter based on the ultrasonic elastomyogram curve. Dynamically changing biomechanical parameters can be obtained, and the obtained muscle biomechanical parameters have relatively high accuracy.

    3 DOF parallel mechanism with 3 branched-chains

    公开(公告)号:US10710249B2

    公开(公告)日:2020-07-14

    申请号:US16341454

    申请日:2016-11-14

    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.

    CONSCIOUS ANIMAL ULTRASONIC NEURAL REGULATION DEVICE

    公开(公告)号:US20200038692A1

    公开(公告)日:2020-02-06

    申请号:US16492405

    申请日:2017-04-21

    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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