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公开(公告)号：US12051211B2
公开(公告)日：2024-07-30
申请号：US17989453
申请日：2022-11-17
Applicant: University of Electronic Science and Technology of China , Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
Inventor： Jiang Qian , Haitao Lyu , Junzheng Jiang , Minfeng Xing
CPC classification number: G06T7/20 , G06T2207/20081
Abstract: A moving target focusing method and system based on a generative adversarial network are provided. The method includes: generating, using a Range Doppler algorithm, a two-dimensional image including at least one defocused moving target, as a training sample; generating at least one ideal Gaussian point in a position of at least one center of the at least one defocused moving target in the two-dimensional image, to generate a training label; constructing the generative adversarial network, the generative adversarial network includes a generative network and a discrimination network; inputting the training sample and the training label into the generative adversarial network to perform repeated training until an output of the generative network reaches a preset condition, to thereby obtain a trained network model; and inputting a testing sample into the trained network model, to output a moving target focused image.
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公开(公告)号：US20220294605A1
公开(公告)日：2022-09-15
申请号：US17517661
申请日：2021-11-02
Applicant: University of Electronic Science and Technology of China , Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
Inventor： Chunxiang XU , Changsong JIANG , Yicong DU
Abstract: A blockchain-based public parameter generation method against backdoor attacks, includes: acquiring the hash values of L latest confirmed blocks on a blockchain, and the hash values of the L blocks and a count variable for generation are mapped to an element in a set G via a specified mapping to obtain the generated public parameter; L≥φ, φ is the minimum number to guarantee blockchains' chain quality property; checking whether the generated parameter meets the condition, if not, discarding the parameter and updating the generated public parameter; if the condition is met, outputting the public parameter to the device that uses the public parameter. In this disclosure, the public parameters are random, since they are based on the latest confirmed blocks on the blockchain and are guaranteed by the computational power of the blockchain; the generation of public parameters is publicly verifiable and random.
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公开(公告)号：US20250020772A1
公开(公告)日：2025-01-16
申请号：US18517235
申请日：2023-11-22
Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA , Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
Inventor： Shihua Li , Ze He , Fugui Luo , Minfeng Xing
Abstract: A rice-crop intensity identification method based on radar time series observation and temperature analysis is provided. Capturing of diversified periodic characteristics of time series backscatter and detection of backscatter troughs are achieved through time series reconstruction and trough identification; potential phenological phases corresponding to the backscatter troughs are determined through potential rice phenological phase estimation; and through temperature limitation of rice phenological phase, temperature suitability of potential rice phenological phases is evaluated, a backscatter trough that does not satisfy a temperature condition is removed by combining a rice growth mechanism and a regulation of rice-crop intensity, thereby realizing the identification of the rice troughs and the correction of the overestimation of the rice-crop intensity, and finally realizing the identification of rice-crop intensity.
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公开(公告)号：US20230162373A1
公开(公告)日：2023-05-25
申请号：US17989453
申请日：2022-11-17
Applicant: University of Electronic Science and Technology of China , Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
Inventor： Jiang Qian , Haitao Lyu , Junzheng Jiang , Minfeng Xing
IPC: G06T7/20
CPC classification number: G06T7/20 , G06T2207/20081
Abstract: A moving target focusing method and system based on a generative adversarial network are provided. The method includes: generating, using a Range Doppler algorithm, a two-dimensional image including at least one defocused moving target, as a training sample; generating at least one ideal Gaussian point in a position of at least one center of the at least one defocused moving target in the two-dimensional image, to generate a training label; constructing the generative adversarial network, the generative adversarial network includes a generative network and a discrimination network; inputting the training sample and the training label into the generative adversarial network to perform repeated training until an output of the generative network reaches a preset condition, to thereby obtain a trained network model; and inputting a testing sample into the trained network model, to output a moving target focused image.
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公开(公告)号：US12257571B2
公开(公告)日：2025-03-25
申请号：US17948794
申请日：2022-09-20
Applicant: Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
Inventor： Jianping Sheng , Ye He , Guo Zhang , Fan Dong
Abstract: Disclosed is a method for preparing a bimetallic perovskite loaded grapheme-like carbon nitride photocatalyst, comprising: 11) dissolving SbCl3 and AgCl in HCl solution under heating and constant stirring; then adding CsCl in the heated solution to form sediment on the bottom of the beaker; collecting the sediment and wash it with ethanol, and finally drying in an oven to obtain Cs2AgSbCl6 powder; 12) adding melamine into an aluminum oxide crucible and placing it into a muffle furnace for calcination and finally cooling to room temperature naturally to obtain g-C3N4 samples; 13) adding the Cs2AgSbCl6 bimetallic perovskite and the g-C3N4 into a solvent, and stirring after subjecting to ultrasound, and drying after centrifuging to obtain the photocatalyst. Provided is a new idea for the combination of bimetallic halide perovskite and photocatalytic material, and the preparation method has mild conditions, simple operation, and is favorable for large-scale production.
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Patent Agency Ranking
公开(公告)号：US20250094807A1
公开(公告)日：2025-03-20
申请号：US18384049
申请日：2023-10-26
Applicant: University of Electronic Science and Technology of China, Yangtze River Delta Research Institute
Inventor： Mei HE , Tianji XU , Pengpeng ZHI , Guangwei ZHANG , Jiao XUE , Yu ZHONG
IPC: G06N3/084
Abstract: Provided herein is a method and a system for data-driven prediction based on spatial information constraints, belonging to the technical field of intelligent information processing. The method comprises: prediction target interpolation based on collocated Co-Kriging; sample weight calculation based on sequential Gaussian simulation and loss function construction based on spatial information constraints; optimization of loss function and data-driven prediction based on deep fully connected neural network. The system comprises: data acquisition module, data preprocessing module, prediction target interpolation module, sample weight calculation module, loss function construction module, loss function optimization module, data-driven prediction module. It realizes the expansion of learning samples under the restriction of spatial information, and uses the spatial information to optimize the loss function, thus improving the utilization rate of data information, facilitating guiding the learning process to converge to reasonable assumptions, thereby improving the performance of the prediction method based on data-driven.
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7.发明申请公开(公告)号：US20250027808A1
公开(公告)日：2025-01-23
申请号：US18774967
申请日：2024-07-17
Inventor： Baicheng YAO , Xinyue HE , Bing CHANG , Teng TAN , Shangce WANG , Yu WU
IPC: G01H9/00
Abstract: Embodiments of the present disclosure relate to the field of acoustic sensing demodulation with high signal-to-noise ratio, real-time demodulation, and high sensitivity, and in particular, to a parallel sensing and demodulation system for acoustic waves based on dual optical frequency combs. The present disclosure introduces dual optical frequency combs as multi-path parallel input light sources, leveraging features of the dual optical frequency combs including narrow linewidth, stable power, high sensitivity, and the capability of precisely converting signals from the optical domain to the radio frequency domain, so the dual optical frequency combs can be used as multi-channel parallel input light sources for acoustic array detection. Besides, some embodiments of the present disclosure employ three-wavelength adaptive demodulation technology to ensure that the detection of acoustic wave signals at every moment has a high signal-to-noise ratio and improved sensitivity for detecting weak signals.
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8.发明公开公开(公告)号：US20240267002A1
公开(公告)日：2024-08-08
申请号：US18262527
申请日：2023-01-13
Inventor： Yiming YU , Kai KANG , Chenxi ZHAO , Huihua LIU , Yunqiu WU
CPC classification number: H03D7/1458 , H03D7/1441 , H04B1/005
Abstract: The present invention belongs to the technical field of 5G millimeter wave communication and discloses a 5G dual-band up-mixer with switching between amplification function and frequency mixing function, and terminal. The first double-balanced active mixer and the second double-balanced active mixer are connected in series, and both ends of the first double-balanced active mixer are connected with a first transformer and a second transformer respectively; both ends of the second double-balanced active mixer are respectively connected with the second transformer and the third transformer; the first double-balanced active mixer is provided with a first MOSFET and a fourth transformer connected with the first MOSFET; the second double-balanced active mixer is provided with a second MOSFET and a fifth transformer connected with the second MOSFET.
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公开(公告)号：US12056841B2
公开(公告)日：2024-08-06
申请号：US17450692
申请日：2021-10-13
Inventor： Zhen Qin , Yi Ding , Tianming Zhuang , Fuhu Deng , Zhiguang Qin
Abstract: A generative adversarial network used for image shape transformation. The image shape transformation includes generating a segmentation mask of an image to be transformed and constructing a generator and a discriminator. The image shape transformation further includes constructing the generative adversarial network through the generator and the discriminator, constructing a loss function, training the generative adversarial network by a gradient descent method according to the loss function, and inputting the segmentation mask of the image to be transformed into the trained generative adversarial network to obtain an image shape transformation result.
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公开(公告)号：US12027976B2
公开(公告)日：2024-07-02
申请号：US17683572
申请日：2022-03-01
Inventor： Hua Fan , Yilin Liu , Huichao Yue , Kai Xu , Quanyuan Feng , Huaying Su , Guosong Wang
CPC classification number: H02M3/158 , H02M1/0009 , H02M1/08
Abstract: A DC-DC converter circuit with selectable working modes is disclosed. Compared with the traditional chip that works in one mode, the DC-DC converter with selectable working modes adds only a mode selection circuit, so that the chip can work in voltage control mode or current control mode. On the one hand, the applications of the chip are more extensive, and on the other hand, when the applications are different, the cost of developing a DC-DC converter with selectable working mode is greatly reduced compared with the traditional DC-DC converter.
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