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公开(公告)号：US11948732B2
公开(公告)日：2024-04-02
申请号：US18351436
申请日：2023-07-12
Inventor： Liang Li , Yiliang Lv
CPC classification number: H01F41/0266 , B22F3/003 , B22F3/087 , B22F2202/05
Abstract: A compression-molding method for a permanent includes: providing a drive coil to generate an electromagnetic force when a transient current is passed into the drive coil, so as to apply a molding compression force to magnetic powder under compression, and providing an orientation coil to generate an orientation magnetic field when a transient current is passed into the orientation coil, thereby providing the magnetic powder under compression with an anisotropic property; and synchronously passing the transient currents to the drive coil and the orientation coil to synchronously generate the electromagnetic force and the orientation magnetic field, thereby completing compression-molding of the permanent magnet, wherein a magnitude of the electromagnetic force and an intensity of the orientation magnetic field are respectively changed by changing peak values of the transient currents.
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公开(公告)号：US11948400B2
公开(公告)日：2024-04-02
申请号：US18344877
申请日：2023-06-30
CPC classification number: G06V40/23 , G06T7/248 , G06T7/277 , G06V10/462 , G06V10/82 , G06V20/46 , G06V20/52 , G08B21/043 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196
Abstract: An action detection method based on a human skeleton feature and a storage medium belong to the field of computer vision, and the method includes: for each person, extracting a series of body keypoints in every frame of the video as the human skeleton feature; calculating a body structure center point and approximating rigid motion area by using the human skeleton feature as a calculated value from the skeleton feature state, and predicting an estimated value in the next frame; performing target matching according to the estimated and calculated value, correlating the human skeleton feature belonging to the same target to obtain a skeleton feature sequence, and then correlating features of each keypoint in the temporal domain to obtain a spatial-temporal domain skeleton feature; inputting the skeleton feature into an action detection model to obtain an action category. In the disclosure, the accuracy of action detection is improved.
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33.发明公开公开(公告)号：US20240081648A1
公开(公告)日：2024-03-14
申请号：US18554680
申请日：2021-05-10
Inventor： Xuming ZHANG , Tuo WANG
CPC classification number: A61B5/004 , A61B5/055 , A61B5/7267 , G06N3/084 , G06T7/0012 , G06T2207/30081
Abstract: The present invention discloses a method and a system for prostate multi-modal MR image classification based on a foveated residual network, the method comprising: replacing convolution kernels of a residual network using blur kernels in a foveation operator, thereby constructing a foveated residual network; training the foveated residual network using prostate multi-modal MR images having category labels, to obtain a trained foveated residual network; and classifying, using the foveated residual network, a prostate multi-modal MR image to be classified, so as to obtain a classification result. In the present invention, a foveation operator is designed based on human visual characteristics, blur kernels of the operator are extracted and used to replace convolution kernels in a residual network, thereby constructing a foveated deep learning network which can extract features that conform to the human visual characteristics, thereby improving the classification accuracy of prostate multi-modal MR images.
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公开(公告)号：US11926742B2
公开(公告)日：2024-03-12
申请号：US17273311
申请日：2020-05-15
Inventor： Hongyun Hu , Hua Tang , Aijun Li , Kang Xie , Yuhan Yang , Fu Yang , Hong Yao
IPC: C09C1/48
CPC classification number: C09C1/482 , C01P2006/80
Abstract: A method for preparing carbon black from pyrolysis char of waste tires by a molten salt thermal treatment and a product thereof are provided. The method includes heating one or two groups of a metal chloride salt group and a metal sulfate group to obtain a molten salt; adding pyrolysis char of waste tires into the molten salt and subjecting same to a molten salt thermal treatment under a preset reaction atmosphere; after the reaction is complete, separating the reaction product to obtain a secondary molten salt and treated pyrolysis char, washing the treated pyrolysis char with hot water and then drying same so as to obtain carbon black, and at the same time, recycling the secondary molten salt.
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35.发明公开公开(公告)号：US20230415407A1
公开(公告)日：2023-12-28
申请号：US17882518
申请日：2022-08-05
Inventor： Bin SU , Zhenhua WU , Congcan SHI , Yike LI , Chunze YAN , Yusheng SHI
IPC: B29C64/153 , B33Y10/00 , B33Y70/00
CPC classification number: B29C64/153 , B33Y10/00 , B33Y70/00 , B29K2101/12
Abstract: The present invention provides composites with controllable superhydrophilic and superhydrophobic performances, a 3D printing method and 3D printed parts. The composites with controllable superhydrophilic and superhydrophobic interface performances comprise hydrophobic powder and/or hydrophilic powder and jointing phase powder, wherein the jointing phase powder is thermoplastic polymers. The present invention can print the parts with a continuous wettability change from superhydrophilic to superhydrophobic performances by regulating the mass percentage of the hydrophobic powder, the hydrophilic powder and the jointing phase powder. Furthermore, the present invention can prepare the models with various shapes according to different application scenes, and regulate the interface wettability performances of the models.
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Patent Agency Ranking
36.发明授权公开(公告)号：US11817809B2
公开(公告)日：2023-11-14
申请号：US17992946
申请日：2022-11-23
Inventor： Zicheng Liu , Lanlan Fang , She Yan , Dong Jiang
IPC: H02P29/028 , G01R31/34 , G05B23/02
CPC classification number: H02P29/028 , G01R31/343 , G05B23/0229 , G05B23/0254 , H02K2213/03
Abstract: The disclosure discloses a motor driving system converter fault diagnosis method based on adaptive sparse filtering, and belongs to the field of driving system fault diagnosis. The disclosure applies an unsupervised learning algorithm to an application scene of converter fault diagnosis. Effective features are automatically extracted from original data, and the problem of manual feature design based on expert knowledge is solved. Meanwhile, in consideration of current fundamental period change caused by different rotation speed working conditions, rotation speed feedback is introduced, secondary sampling is carried out on current sampled at a constant frequency, it is ensured that the length of a signal input into the deep sparse filtering network is one fundamental wave period, redundant information is better removed from original data, the calculation burden is relieved, and the accuracy and rapidity of the diagnosis algorithm are improved to a certain extent.
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公开(公告)号：US20230334824A1
公开(公告)日：2023-10-19
申请号：US17775591
申请日：2021-05-07
Inventor： Huajun SUN , Zuopai ZHOU , Li LI , Xiangshui MIAO
IPC: G06V10/764 , G06V10/94
CPC classification number: G06V10/764 , G06V10/955
Abstract: A method and a system of designing a memristor-based naive Bayes classifier and a classifier belonging to the field of information technology are provided. The method includes: constructing a naive Bayes classifier including a memristor array of M rows by 2N columns, where M is the number of classification types, and N is the number of pixels in a picture; calculating the number hj,2i−1 of the pixel value of 0 and the number hj,2i of the pixel value of 1 in an ith pixel in the jth training sample, where j=1, 2, . . . , and M; and applying hj,2i−1 pulses to a memristor Rj,2i−1 in a jth row and a 2i−1th column to modulate the conductance of the memristor Rj,2i−1 and applying hj,2i pulses to a memristor Rj,2i in the jth row and a 2ith column to modulate the conductance of the memristor Rj,2i.
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公开(公告)号：US11792105B2
公开(公告)日：2023-10-17
申请号：US17249838
申请日：2021-03-16
Inventor： Jiang Xiao , Shijie Zhang , Jiajie Zeng , Hai Jin , Chen Yu
IPC: H04L45/02 , H04L45/12 , H04L45/48 , H04L45/74 , G06F18/243
CPC classification number: H04L45/02 , G06F18/24323 , H04L45/123 , H04L45/48 , H04L45/74
Abstract: The present invention relates to a method of building a dynamic overlay network topology based on cross-chain interaction between blockchains, at least comprising: selecting at least one gateway node and at least one ordinary node from at least one cross-chain interaction node; clustering the ordinary nodes into ordinary node clusters based on a clustering algorithm; building a structured network topology and cross-chain connections between the cross-chain interaction nodes based on the gateway node; performing topology building on the ordinary node clusters based on a breadth-first spanning tree algorithm.
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公开(公告)号：US20230326083A1
公开(公告)日：2023-10-12
申请号：US18298258
申请日：2023-04-10
Inventor： Tianxu Zhang , Xin Zhou , Wandong He
CPC classification number: G06T7/90 , G01J3/2823
Abstract: A construction method and system for a visible near-infrared spectrum dictionary is provided. The method includes: constructing a four-primary color chromaticity cone by using normalized spectral response curves of four primary colors of a visible light camera as spectral basis functions; performing weighted combination on the spectral basis functions and forming an initial visible near-infrared spectrum dictionary; acquiring points on the four-primary color chromaticity cone on the basis of the initial visible red infrared spectrum dictionary according to different spectral resolutions and performing discretization, and forming words in the initial visible near-infrared spectrum dictionary; clustering chromaticity coordinates corresponding to the words into different groups, performing weighted combination on multi-scale spectral response curves corresponding to different group types, generating phrases or sentences in the dictionary, and generating a final visible near-infrared spectrum dictionary. The visible near-infrared spectrum dictionary can support a novel computational spectrometry imaging spectrometer.
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公开(公告)号：US20230316504A1
公开(公告)日：2023-10-05
申请号：US17935196
申请日：2022-09-26
Applicant: Tongji Hospital Affiliated ToTongji Medical College of Huazhong University of Science and Technology
Inventor： Qinglei GAO , Ding MA , Yue GAO , Xiangchun LI , Shaoqing ZENG , Huayi LI
CPC classification number: G06T7/0012 , G06T2207/20081 , G06N3/0454
Abstract: The present disclosure belongs to the technical field of image processing, and discloses an ultrasound image processing method and system for ovarian cancer, a medium, a device, and a terminal. The method includes: obtaining pelvic ultrasound images and relevant clinical data of a patient; performing pelvic ultrasound image and relevant clinical information cleaning and pelvic ultrasound image quality control; and constructing an image classification model. Areas under the curve (AUCs) of performance of a deep convolutional neural network (DCNN) model based on the pelvic ultrasound image of the present disclosure for distinguishing ovarian cancer and non-cancer in an internal validation set and two external validation sets are 0.911, 0.870, and 0.831 respectively, which are superior to an average of diagnosis of ovarian cancer of 35 radiologists in the internal and external validation sets. An AUC of the DCNN for diagnosis of borderline ovarian tumors is 0.821.
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