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61.发明授权公开(公告)号：US11789037B2
公开(公告)日：2023-10-17
申请号：US17757343
申请日：2021-05-08
Inventor： Lianqing Liu , Jialin Shi , Peng Yu
CPC classification number: G01Q60/38 , G01Q10/045 , G01Q20/02 , G01Q70/06
Abstract: An atomic force microscope has dual probes composed of a hinge structure, two cantilever beams and needle tips arranged on free ends of the cantilever beams. The hinge structure is a U-shaped body having two ends respectively extended with a first cantilever beam and a second cantilever beam. The free end of the first cantilever beam and the free end of the second cantilever beam are respectively provided with a first needle tip and a second needle tip. The integrated dual probes is operated by the driving function of the probe clamp. Therefore, only a set of motion control and measurement system of the atomic force microscope is required to realize the rapid in-situ switching function of the dual probes.
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公开(公告)号：US20230169749A1
公开(公告)日：2023-06-01
申请号：US17921304
申请日：2021-04-20
Inventor： Yidan Zhou , Yuewan Lu , Xiaotang Chen , Kaiqi Huang , Chen Dong , Wenmei Gao
CPC classification number: G06V10/56 , G06V10/25 , G06V10/60 , G06V10/449 , G06V40/171
Abstract: This application provides a skin color detection method and apparatus. The skin color detection method includes: obtaining a face image (101); determining a face key point (102) in the face image; determining a skin color estimation region of interest (Region Of Interest, ROI) and an illumination estimation region of interest ROI (103) in the face image based on the face key point; obtaining a detected skin color value (104) corresponding to the skin color estimation region of interest; obtaining a detected illumination color value (105) corresponding to the illumination estimation region of interest; and using the detected skin color value and the detected illumination color value as feature input of a skin color estimation model, and obtaining a corrected skin color value (106) output by the skin color estimation model.
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63.发明公开公开(公告)号：US20230144556A1
公开(公告)日：2023-05-11
申请号：US17917643
申请日：2020-05-25
Applicant: INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES , GUANGDONG INSTITUTE OF ARTIFICIAL INTELLIGENCE AND ADVANCED COMPUTING
Inventor： Lingtian ZHAO , Jie HAO , Jun LIANG , Yafang SONG , Lin SHU , Sai MA , Qiuxiang FAN , Hui FENG
CPC classification number: G06F30/34 , G06F17/142 , G06F7/4876
Abstract: Disclosed in the present disclosure is an FPGA implementation device and method for an FBLMS algorithm based on block floating point. The method includes: blocking, caching, and reassembling a reference signal, by an input caching and converting module, converting into a block floating point system and performing FFT; filtering, by a filtering module, in a frequency domain and performing dynamic truncation; caching, by an error calculating and output caching module, a target signal on a block basis, converting into a block floating point system, subtracting an output result output from the filtering module from the converted target signal to obtain an error signal, converting the error signal into a fixed point system to obtain a final cancellation result; obtaining, by a weight adjustment amount calculating module and a weight updating and storing module, an adjustment amount of a frequency domain block weight and updating the frequency domain block weight.
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公开(公告)号：US11636871B2
公开(公告)日：2023-04-25
申请号：US17667212
申请日：2022-02-08
Inventor： Jianhua Tao , Shan Liang , Shuai Nie , Jiangyan Yi
Abstract: Disclosed are a method, an electronic apparatus for detecting tampering audio and a storage medium. The method includes: acquiring a signal to be detected, and performing a wavelet transform of a first preset order on the signal to be detected so as to obtain a first low-frequency coefficient and a first high-frequency coefficient corresponding to the signal to be detected, the number of which is equal to that of the first preset order; performing an inverse wavelet transform on the first high-frequency coefficient having an order greater than or equal to a second preset order so as to obtain a first high-frequency component signal corresponding to the signal to be detected; calculating a first Mel cepstrum feature of the first high-frequency component signal in units of frame, and concatenating the first Mel cepstrum features of a current frame signal and a preset number of frame signals.
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公开(公告)号：US11633242B2
公开(公告)日：2023-04-25
申请号：US16762488
申请日：2019-01-16
Inventor： Hao Liu , Guohao Jiang , Yuanyuan Zhou , Lianqing Liu , Zhongtao Zhang , Wei Guo
Abstract: A deformable segment with combined motion includes a flexible center backbone, the tendons of deformable segment with combined motion, a connecting piece, a proximal disk and a distal disk. The proximal end of the flexible center backbone and the proximal ends of the tendons of deformable segment with combined motion are fixedly connected to the proximal disk. The distal ends of the tendons of deformable segment with combined motion are fixedly connected to the distal disk. The distal end of the flexible center backbone penetrates through the distal disk and then extends into the distal execution segment, and is connected with the end-effector. The deformable segment with combined motion is provided with the connecting piece. The proximal driving segment is provided with proximal driving tendons. The proximal driving tendons penetrate through the proximal disk, and then are fixedly connected with the connecting piece.
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Patent Agency Ranking
66.发明授权公开(公告)号：US11488308B2
公开(公告)日：2022-11-01
申请号：US16968573
申请日：2019-04-19
Inventor： Xin Zhao , Kaiqi Huang , Zhe Liu
Abstract: A three-dimensional object detection method includes: extracting a target in a two-dimensional image by a pre-trained deep convolutional neural network to obtain a plurality of target objects; determining a point cloud frustum in a corresponding three-dimensional point cloud space based on each target object; segmenting the point cloud in the frustum based on a point cloud segmentation network to obtain a point cloud of interest; and estimating parameters of a 3D box in the point cloud of interest based on a network with the weighted channel features to obtain the parameters of the 3D box for three-dimensional object detection. According to the present invention, the features of the image can be learned more accurately by the deep convolutional neural network and the parameters of the 3D box in the point cloud of interest are estimated based on the network with the weighted channel features.
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公开(公告)号：US11458599B2
公开(公告)日：2022-10-04
申请号：US16959407
申请日：2018-12-20
Inventor： Jinguo Liu , Keli Chen , Haodong Chi , Cao Tong
Abstract: The present invention relates to a quick clamping device. A pressing flange and a top plate are respectively installed on both sides of a bracket; one end of a top rod is rotatably connected with the top plate, and the other end is in threaded connection with a center pressing element; a slip ring copper sleeve is sleeved on the center pressing element; a synchronous slip ring can be sleeved outside the slip ring copper sleeve relatively movably; the outer end part of the slip ring copper sleeve is provided with a copper sleeve flange; a spring sleeved on the slip ring copper sleeve is arranged between the synchronous slip ring and the copper sleeve flange; both ends of the spring are respectively abutted against the synchronous slip ring and the copper sleeve flange; a plurality of pull rods are evenly distributed along the circumferential direction of a clamped element; one end of each of the pull rods is respectively hinged to the center pressing element, and the other end is a pressing end; the clamped element is positioned between the pressing flange and the pressing end of each pull rod; a connecting rod is connected between each of the pull rods and the synchronous slip ring; and both ends of the connecting rod are respectively hinged with the pull rods and the synchronous slip ring. The present invention has the advantages of novel structure, simple operation, small size, and the like.
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公开(公告)号：US11455548B2
公开(公告)日：2022-09-27
申请号：US17555464
申请日：2021-12-19
Inventor： Jie Tan , Chengbao Liu
Abstract: Disclosed is an acquisition method for domain rule knowledge of an industrial process. The method comprises the steps of: establishing a domain rule base, establishing a semantic knowledge base, and combining the domain rule base and the semantic knowledge base so as to realize an augmented update of a domain rule knowledge base; describing the domain knowledge of the industrial process by using weighted first-order logic rules so as to form a training sample set of the first-order logic rules; performing a weight learning by applying probability soft logic and the training sample set of the first-order logic rules so as to realize weight to non-weighted rules; performing rule learning through a machine learning algorithm so as to obtain a first-order logic rule on a change in optimization decision-making semantic when multi-source data semantic information changes.
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公开(公告)号：US11432749B2
公开(公告)日：2022-09-06
申请号：US16958706
申请日：2017-12-28
Inventor： Tianzi Jiang , Xin Zhang , Nianming Zuo
IPC: A61B5/1455 , A61B5/00
Abstract: A non-contact brain blood oxygen detecting system includes a mobile terminal device. The mobile terminal device includes a control module, a transmitting module, a receiving module and a display module. The control module is connected to the transmitting module, the receiving module and the display module, respectively. The transmitting module in the mobile terminal device is configured to emit dual-wavelength near-infrared light to a detected subject. The receiving module is configured to receive a light signal after propagation fed back by the detected subject, and to perform data conversion on the received light signal to obtain a digital signal containing blood oxygen information. The control module is configured to obtain the blood oxygen information of the detected subject according to the digital signal obtained by the receiving module. The display module is configured to display the blood oxygen information obtained by the control module.
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公开(公告)号：US20220265184A1
公开(公告)日：2022-08-25
申请号：US17472191
申请日：2021-09-10
Inventor： Jianhua TAO , Cong CAI , Bin LIU , Mingyue NIU
IPC: A61B5/16 , G06K9/00 , G06K9/62 , G06T7/00 , G10L25/30 , G10L25/57 , G10L25/63 , G10L25/66 , G06N3/08 , A61B5/00
Abstract: Disclosed is an automatic depression detection method using audio-video, including: acquiring original data containing two modalities of long-term audio file and long-term video file from an audio-video file; dividing the long-term audio file into several audio segments, and meanwhile dividing the long-term video file into a plurality of video segments; inputting each audio segment/each video segment into an audio feature extraction network/a video feature extraction network to obtain in-depth audio features/in-depth video features; calculating the in-depth audio features and the in-depth video features by using multi-head attention mechanism so as to obtain attention audio features and attention video features; aggregating the attention audio features and the attention video features into audio-video features; and inputting the audio-video features into a decision network to predict a depression level of an individual in the audio-video file.
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