-
111.发明申请公开(公告)号：US20230020068A1
公开(公告)日：2023-01-19
申请号：US17757328
申请日：2021-05-08
Inventor： Lianqing LIU , Jialin SHI , Peng YU
Abstract: A device capable of simultaneous independent motion measurement of multiple probes in an atomic force microscope includes at least two cantilever arms arranged in parallel. The end of each cantilever arm is provided with a needle tip. The surface of each cantilever arm is provided with a grating structure with a periodic distribution rule for reflecting laser irradiated on the grating structure and receiving the laser through reflected light detectors. The discrimination and motion measurement includes the steps of irradiating the measurement laser of different wavelengths on the back surfaces of multiple probes through the same light path at the same time, adopting the grating structures of different feature sizes as physical labels of the multiple probes and reflecting high-order reflected light of the laser of different wavelengths by the grating structures at different angles to separate the light path.
-
公开(公告)号：US20220379490A1
公开(公告)日：2022-12-01
申请号：US17751920
申请日：2022-05-24
Inventor： Xiaohu ZHOU , Zengguang HOU , Meijiang GUI , Xiaoliang XIE , Shiqi LIU , Zhenqiu FENG , Yanjie ZHOU , Lingwu MENG , Hao LI
Abstract: Provided are a device, a system and a method for acquiring a force information based on a bionic structure, including: a force information acquisition layer and a magnetic field signal acquisition chip; wherein a permanent magnet is embedded in the force information acquisition layer; wherein the force information acquisition layer has an elastic structure configured to generate a deformation corresponding to a first force information of a force after being subjected to the force, so that the permanent magnet moves with the deformation to generate a magnetic field signal corresponding to the force information; wherein the magnetic field signal acquisition chip is arranged in parallel with the force information acquisition layer, and is configured to acquire the magnetic field signal and convert the magnetic field signal into an electrical signal.
-
113.发明授权公开(公告)号：US11487950B2
公开(公告)日：2022-11-01
申请号：US16641256
申请日：2019-04-19
Inventor： Jiaming Xu , Yiqun Yao , Bo Xu
Abstract: The method of the present disclosure includes: obtaining an image to be processed and a question text corresponding to the image; using an optimized dialogue model to encode the image into an image vector and encode the question text into a question vector; generating a state vector based on the image vector and the question vector; decoding the state vector to obtain and output an answer text. A discriminator needs to be introduced in an optimization process of the optimized dialogue model. The dialogue model and the discriminator are alternately optimized until a value of a hybrid loss function of the dialogue model and a value of a loss function of the discriminator do not decrease or fall below a preset value, thereby accomplishing the optimization process.
-
公开(公告)号：US11456950B2
公开(公告)日：2022-09-27
申请号：US17041530
申请日：2019-12-19
IPC: H04L12/725 , H04L45/302 , H04L12/46 , H04L45/74
Abstract: The present invention discloses a data forwarding unit based on a Handle identifier, comprising a dynamic configuration module, a Handle identifier data identification module and a matching-forwarding module. The system of the present invention is applied to network devices such as switches and routers, and supports dynamic configuration of data packet analysis, matching and forwarding rules through data interaction with network systems such as SDN managers, so that the network devices can identify data packets based on the Handle identifier and perform the specified operation on the designated data packets with the Handle identifier according to the rules of dynamic configuration.
-
115.发明申请公开(公告)号：US20220269881A1
公开(公告)日：2022-08-25
申请号：US17471384
申请日：2021-09-10
Inventor： Jianhua TAO , Hao ZHANG , Bin LIU , Wenxiang SHE
Abstract: Disclosed is a micro-expression recognition method based on a multi-scale spatiotemporal feature neural network, in which spatial features and temporal features of micro-expression are obtained from micro-expression video frames, and combined together to form more robust micro-expression features, at the same time, since the micro-expression occurs in local areas of a face, active local areas of the face during occurrence of the micro-expression and an overall area of the face are combined together for micro-expression recognition.
-
Patent Agency Ranking
116.发明授权公开(公告)号：US11238289B1
公开(公告)日：2022-02-01
申请号：US17389364
申请日：2021-07-30
Inventor： Jianhua Tao , Zheng Lian , Bin Liu , Licai Sun
IPC: G06K9/00 , G06N3/04 , G06F16/783 , A61B5/16
Abstract: An automatic lie detection method and apparatus for interactive scenarios, a device and a medium to improve the accuracy of automatic lie detection are provided. The method includes: segmenting three modalities, namely a video, an audio and a text, of a to-be-detected sample; extracting short-term features of the three modalities; integrating the short-term features of the three modalities in the to-be-detected sample to obtain long-term features of the three modalities corresponding to each dialogue; integrating the long-term features of the three modalities by a self-attention mechanism to obtain a multi-modal feature of the each dialogue; integrating the multi-modal feature of the each dialogue with interactive information by a graph neutral network to obtain a multi-modal feature integrated with the interactive information; and predicting a lie level of the each dialogue according to the multi-modal feature integrated with the interactive information.
-
公开(公告)号：US11232286B2
公开(公告)日：2022-01-25
申请号：US17038208
申请日：2020-09-30
Inventor： Qiang Rao , Bing Yu , Bailan Feng , Yibo Hu , Xiang Wu , Ran He , Zhenan Sun
Abstract: A method and an apparatus for generating a face rotation image are provided. The method includes: performing pose encoding on an obtained face image based on two or more landmarks in the face image, to obtain pose encoded images; obtaining a plurality of training images each including a face from a training data set, wherein presented rotation angles of the faces included in the plurality of training images are the same; performing pose encoding on a target face image based on two or more landmarks in the target face image in the foregoing similar manner, to obtain pose encoded images, wherein the target face image is obtained based on the plurality of training images; generating a to-be-input signal based on the face image and the foregoing two types of pose encoded images; and inputting the to-be-input signal into an face rotation image generative model to obtain a face rotation image.
-
118.发明申请公开(公告)号：US20210405660A1
公开(公告)日：2021-12-30
申请号：US17261036
申请日：2020-08-13
Inventor： Zhen LIU , Zhiqiang PU , Tenghai QIU , Jianqiang YI
Abstract: The control system based on multi-unmanned aerial vehicle (UAV) cooperative strategic confrontation includes a management module, a UAV formation module, a situation assessment module, a decision-making module, and a cooperative mission assigning module of both sides in a confrontation. The management module is configured to store state information acquired by the UAV formation module. The UAV formation module is configured to acquire state information of UAVs and execute a control instruction. The situation assessment module is configured to acquire situation assessment information according to the state information. The decision-making module is configured to acquire a countermeasure based on the situation assessment information. The cooperative mission assigning module is configured to generate control instructions for the UAVs based on the countermeasure and in combination with a confrontation target and an optimal situation assessment value.
-
公开(公告)号：US11205098B1
公开(公告)日：2021-12-21
申请号：US17373831
申请日：2021-07-13
Inventor： Zhengxing Wu , Junzhi Yu , Yue Lu , Xingyu Chen
Abstract: A single-stage small-sample-object detection method based on decoupled metric is provided to solve the following problems: low detection accuracy of existing small-sample-object detection methods, the mutual interference between classification and regression in a non-decoupled form, and over-fitting during training of a detection network in case of small samples. The method includes: obtaining a to-be-detected image as an input image; and obtaining a class and a regression box corresponding to each to-be-detected object in the input image through a pre-constructed small-sample-object detection network DMNet, where the DMNet includes a multi-scale feature extraction network, a decoupled representation transformation module, an image-level distance metric learning module and a regression box prediction module. The new method avoids the over-fitting during training of the detection network, eliminates the mutual interference between the classification branch and the regression branch, and improves the accuracy of small-sample-object detection.
-
120.发明申请公开(公告)号：US20210383239A1
公开(公告)日：2021-12-09
申请号：US17411131
申请日：2021-08-25
Inventor： Yang CHEN , Guanxiong ZENG , Shan YU
Abstract: A feature extraction system, method and apparatus based on neural network optimization by gradient filtering is provided. The feature extraction method includes: acquiring, by an information acquisition device, input information; constructing, by a feature extraction device, different feature extraction networks, performing iterative training on the networks in combination with corresponding training task queues to obtain optimized feature extraction networks for different input information, and calling a corresponding optimized feature extraction network to perform feature extraction according to a class of the input information; performing, by an online updating device, online updating of the networks; and outputting, by a feature output device, a feature of the input information. The new feature extraction system, method and apparatus avoids the problem of catastrophic forgetting of the artificial neural network in continuous tasks, and achieves high accuracy and precision in continuous feature extraction.
-
-
-
-
-
-
-
-
-
Search Results
243
records
(took 0.022 seconds)
