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

IPC: G06K9/00 ,  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.

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

IPC: H04L9/00 ,  H04L9/06

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.

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

IPC: G01S7/41 ,  G01S13/88

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.

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.

公开(公告)号：US20250103952A1

公开(公告)日：2025-03-27

申请号：US18521883

申请日：2023-11-28

Applicant: Hebei University of Technology ,  Zhejiang Lab ,  Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China ,  DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Bin CAO ,  Zeyu JIANG ,  Xin LIU ,  Wen CHENG ,  Yun LI ,  Rensheng SHEN ,  Yuchun CHANG

IPC: G06N20/00

Abstract: The present invention provides a federated large model adaptive learning system. Based on the combination of multiobjective optimization and incremental learning, multiple optimization indexes are constructed, and adaptive mini model incremental learning is designed. A gradient scaling method of mini models is proposed for data privacy protection under federated learning, to make full use of gradient information. A correlation between the generalization ability and sampling data is revealed to propose a generalization ability evaluation function. With respect to the real problems of performance degradation and fault faced by industrial equipment during operation, multiple optimization objectives are designed in combination with the generalization ability evaluation function, and the models are updated and repaired adaptively through multiobjective evolutionary learning, to improve the usability of large models in real industrial scenarios. Finally, the adaptive accurate update of the large models and mini models is realized to improve the generalization ability of the models.

公开(公告)号：US20250081553A1

公开(公告)日：2025-03-06

申请号：US18388870

申请日：2023-11-13

Applicant: University of Electronic Science and Technology of China

Inventor： Ming QIAO ,  Jue LI ,  Zesheng SHI ,  Daoming SHEN ,  Bo ZHANG

IPC: H01L29/06

Abstract: A power semiconductor device, including a cell region, a transition region, and a terminal region. The transition region is located between the cell region and the terminal region of the device. A first conduction type substrate, a first conduction type epitaxial layer located above the first conduction type substrate, and a first conduction type buffer layer located in the first conduction type epitaxial layer are jointly arranged at the bottoms of the cell region, the transition region, and the terminal region of the device. In a high-current application, since the cell region occupies the largest area of a chip, in a case that breakdown can occur in the cell region and the current can be discharged through the cell region. On the basis of ensuring the BV of the terminal region, a silicon layer step is formed by elevating the position of a top structure of the terminal region.

公开(公告)号：US20250068798A1

公开(公告)日：2025-02-27

申请号：US18383419

申请日：2023-10-24

Applicant: University of Electronic Science and Technology of China, Yangtze River Delta Research Institute

Inventor： Rongjiang Tang ,  Lu Gan ,  Fusheng Li ,  Fengli Shen

IPC: G06F30/27

Abstract: The present disclosure belongs to the field of geophysical exploration, and discloses a method, a system, a medium, a device and a terminal for predicting the probing depth of transient electromagnetic. Based on the existing published resistivity model database, the transient electromagnetic field in layered medium is calculated, and the probing depth is calculated based on Jacobian matrix to establish a training data set. The simulated induced electromotive force is used as the input of the neural network, and the calculated probing depth is used as the output of the network. A rapid mapping between observation data and probing depth is established by using residual neural network.

公开(公告)号：US12200054B2

公开(公告)日：2025-01-14

申请号：US18394594

申请日：2023-12-22

Applicant: University of Electronic Science and Technology of China ,  Sichuan Digital Economy Research Institute (Yibin) ,  Hangzhou Yunphant Network Technology Co. Ltd.

Inventor： Sheng Cao ,  Butian Huang ,  Xiaosong Zhang

IPC: H04L67/10 ,  G06F16/27 ,  H04L67/1097

Abstract: The present disclosure provides a blockchain sharding method, system, and server based on locally repairable system codes. The blockchain sharding system includes k original shards and n−k encoding shards. In each round of consensus, each original shard and m corresponding encoding shards form a local verification group (m

公开(公告)号：US12199150B2

公开(公告)日：2025-01-14

申请号：US17848422

申请日：2022-06-24

Applicant: University of Electronic Science and Technology of China

Inventor： Zekun Zhou ,  Jianwen Cao ,  Yue Shi ,  Bo Zhang

IPC: H01L29/16 ,  H01L29/06 ,  H01L29/66 ,  H01L29/78

Abstract: A multi-level gate driver applied to the SiC metal-oxide-semiconductor field-effect transistor (MOSFET) includes three parts: the SiC MOSFET information detection circuit, the signal level shifting circuit, and the segmented driving circuit. The SiC MOSFET information detection circuit includes the SiC MOSFET drain-source voltage detection circuit and the SiC MOSFET drain-source current detection circuit. The segmented driving circuit includes a turn-on segmented driving circuit and a turn-off segmented driving circuit. The SiC MOSFET drain-source voltage detection circuit and the SiC MOSFET drain-source current detection circuit process a drain-source voltage and a drain-source current during the SiC MOSFET's switching as enable signals for segmented driving; the signal level shifting circuit transfers enable signals required by the segmented driving circuit to the suitable power supply rail; and the SiC MOSFET turn-on segmented driving circuit and the turn-off segmented driving circuit select suitable driving currents.

公开(公告)号：US12181572B1

公开(公告)日：2024-12-31

申请号：US18652208

申请日：2024-05-01

Applicant: UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

Inventor： Jiang Qian ,  Jiayang Wu ,  Haitao Lyu ,  Guangcai Sun

IPC: G01S13/90 ,  G01S7/295

Abstract: Provided are a scattering aperture imaging method and a device, a system and a storage medium. The method mainly includes four steps of scattering point position estimation, azimuth resampling, range compensation and synthetic aperture radar imaging. A phased array radar with a fixed position is used for NLOS imaging, and the radar can control a beam to scan in space, which is equivalent to a scattering aperture moving along a relay surface. Therefore, the method can realize converting NLOS imaging into LOS synthetic aperture radar imaging, which can be suitable for the situation that a relay surface is rough and the relay surface with more complicated surface condition, thus widening the application range of radar NLOS imaging.