Patents Assigned to Xidian University
  • Patent number: 12279298
    Abstract: A service-level communication and computing collaborative resource allocation device and method for a large-scale satellite network are provided, the device includes: a network information management function module including a service request collection unit configured to collect service requests arriving at each satellite node in the network, and a network resource collection unit configured to collect available resource status information for each satellite node; a service preprocessing function module configured to preprocess service requests; a service feature extraction function module configured to perform feature extraction for preprocessed service requests to generate service demand features; a service order decision submodule configured to determine a service order of service requests; a service strategy decision submodule configured to output a service strategy of the service request.
    Type: Grant
    Filed: October 31, 2024
    Date of Patent: April 15, 2025
    Assignee: Xidian University
    Inventors: Di Zhou, Chenxi Bao, Min Sheng, Jiandong Li, Yan Shi, Weigang Bai, Sijing Ji, Yan Zhu
  • Patent number: 12279158
    Abstract: A wireless communication network resource allocation method implemented in a server in a wireless communication network, includes: obtaining task feature information of each user device and a CPU frequency of the server in each time slot; obtaining a task data volume average value; determining, based on a knowledge base including sample data groups and optimal resource allocation models, a target optimal resource allocation model matched with the task data volume average value and the CPU frequency of the server; obtaining, based on the task feature information of the user devices in the time slot and the target optimal resource allocation model, resource allocation results of the user devices, and transmitting task data to the user devices based on the results. A width of a dynamic neural network can be automatically adjusted according to task features and computational capacity, and on-demand adjustment of decision speed and resource optimality can be realized.
    Type: Grant
    Filed: July 4, 2022
    Date of Patent: April 15, 2025
    Assignee: Xidian University
    Inventors: Nan Cheng, Changle Li, Longfei Ma, Xiucheng Wang, Ruijin Sun
  • Patent number: 12185635
    Abstract: A piezoelectric transducer is provided herein, comprising a three-dimensional structure made of a plurality of peptides, the peptides being self-assembling and the structure being piezoelectric, wherein at least a portion, or each, of said plurality of peptides comprises peptides of 2 to 10 amino acid residues, provided that the plurality of peptides is not consisted of a plurality of Phe-Phe dipeptides. Further described herein are peptides having an amino acid sequence Hyp-Phe-Phe, Boc-Dip-Dip, (L)Trp-(D)Trp or (D)Trp-(L)Trp, as well as three-dimensional structures comprising such peptides.
    Type: Grant
    Filed: March 25, 2020
    Date of Patent: December 31, 2024
    Assignees: Ramot at Tel-Aviv University Ltd., Xidian University
    Inventors: Ehud Gazit, Santu Bera, Yu Chen, Sharon Gilead, Kai Tao, Sigal Lazar, Rusen Yang, Sudipta Mondal, Vasantha Basavalingappa
  • Patent number: 12142643
    Abstract: A material structure for silicon-based gallium nitride microwave and millimeter-wave devices and a manufacturing method thereof are provided. The material structure includes: a silicon substrate; a dielectric layer of high thermal conductivity, disposed on an upper surface of the silicon substrate, and an uneven first patterned interface being formed between the dielectric layer and the silicon substrate; a buffer layer, disposed on an upper surface of the dielectric layer, and an uneven second patterned interface being formed between the buffer layer and the dielectric layer; a channel layer, disposed on an upper surface of the buffer layer; and a composite barrier layer, disposed on an upper surface of the channel layer. In the material structure, the uneven patterned interfaces increase contact areas of the interfaces, a thermal boundary resistance and a thermal resistance of device are reduced, and a heat dissipation performance of device is improved.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: November 12, 2024
    Assignee: Xidian University
    Inventors: Jincheng Zhang, Lu Hao, Zhihong Liu, Junwei Liu, Kunlu Song, Yachao Zhang, Weihang Zhang, Yue Hao
  • Patent number: 12130451
    Abstract: A design method of a multi-zone grouped and light-homogenized Fresnel lens for a concentrating system includes: step 1, designing, according to a basic principle of a Fresnel lens, a planar Fresnel lens; step 2, establishing, according to an optical path characteristic of the concentrating system, an optical path equation of the concentrating system; step 3, determining a differential form of uniform distribution of luminous energy density; and step 4, based on the step 3, calculating design parameters of the multi-zone grouped and light-homogenized Fresnel lens to obtain the multi-zone grouped and light homogenized Fresnel lens.
    Type: Grant
    Filed: June 27, 2024
    Date of Patent: October 29, 2024
    Assignee: Xidian University
    Inventors: Guanheng Fan, Baoyan Duan, Yiqun Zhang, Shimin Cao, Kunpeng Liu, Dongxu Wang
  • Patent number: 12108283
    Abstract: Hierarchical network operation and resource control system and method for a mega satellite constellation, belonging to the field of spatial information technology, are provided. The hierarchical network operation and resource control system includes a service layer, a global organization layer, a local coordination layer and a resource layer. The service layer is used as an input to drive operation of whole system. The global organization layer is to realize “operation, measurement and control” integrated control and decision of whole network. The local coordination layer is to realize local management decision and management slice generation. The resource layer is to provide physical resource and physical device and realize resource virtualization.
    Type: Grant
    Filed: April 19, 2022
    Date of Patent: October 1, 2024
    Assignee: Xidian University
    Inventors: Min Sheng, Di Zhou, Sijing Ji, Weigang Bai, Jiandong Li, Yan Shi, Haoran Li
  • Patent number: 12108322
    Abstract: A method for enhancing network coverage based on adaptive generation of resource cell. A traditional cell in a network is taken as an initial state of the network. A correlation matrix in a current network state is generated. Whether |?i,jt??i,jt-1|/?i,jt-1>? is determined. Each access point is divided into a plurality of resource cells. A CU-DU network mapping table is generated. A middlehaul link of each of the plurality of resource cells is constructed according to the CU-DU network mapping table.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: October 1, 2024
    Assignee: Xidian University
    Inventors: Junyu Liu, Min Sheng, Ziwen Xie, Jiandong Li, Yu Su, Yan Shi, Xiayu Zhang
  • Publication number: 20240235537
    Abstract: A 2-bit high-power amplifying non-reciprocal reflective metasurface is provided. The metasurface comprises a plurality of metasurface units distributed in an array; each metasurface unit comprises a first metal layer, an intermediate layer, and a second metal layer which are sequentially stacked; the second metal layer comprises a receiving metal patch and a transmitting metal patch; two diodes are both positioned on a longitudinal central axis of the receiving metal patch; orientation of the slot on the transmitting metal patch is orthogonal to orientation of the slot on the receiving metal patch; the first metal layer comprises a phase shifter, which comprises first series diodes and second series diodes forming a reconfigurable 90-degree phase-shift circuit.
    Type: Application
    Filed: January 5, 2024
    Publication date: July 11, 2024
    Applicant: Xidian University
    Inventors: Long LI, Guanxuan LI, Xin WANG, Dexiao XIA, Ruijie LI, Haixia LIU
  • Patent number: 12020925
    Abstract: A method for preparing an AlN based template having a Si substrate and a method for preparing a GaN based epitaxial structure having a Si substrate are provided. The method for preparing the AlN based template having the Si substrate, which includes: providing the Si substrate; growing an AlN nucleation layer on the Si substrate; and introducing an ion passing through the AlN nucleation layer and into the Si substrate. After the AlN nucleation layer is prepared on the Si substrate, the ions are introduced into the Si substrate and the AlN nucleation layer through the AlN nucleation layer. In this way, types of the introduced ions can be expanded. In addition, a carrier concentration at an interface between the Si substrate and the AlN nucleation layer and a carrier concentration in the AlN nucleation layer can also be reduced.
    Type: Grant
    Filed: February 8, 2021
    Date of Patent: June 25, 2024
    Assignee: Xidian University
    Inventors: Zhihong Liu, Junwei Liu, Jincheng Zhang, Lu Hao, Kunlu Song, Hong Zhou, Shenglei Zhao, Yachao Zhang, Weihang Zhang, Yue Hao
  • Patent number: 11906616
    Abstract: The present disclosures discloses a method of target feature extraction based on millimeter-wave radar echo, which mainly solves the problems that techniques in the prior art cannot fully utilize raw radar echo information to obtain more separable features and cannot accurately distinguish targets with similar physical shapes and motion states. The method is implemented as follows: acquiring measured data of targets, generating an original RD map, and removing ground clutter of the map; sequentially performing target detection, clustering and centroid condensation on the RD map after the ground clutter removal; acquiring a continuous multi-frame RD maps and carrying out the target tracking; according to the tracking trajectory, selecting candidate areas and extracting features based on a single piece of RD map and features based on two successive RD maps, respectively.
    Type: Grant
    Filed: July 21, 2021
    Date of Patent: February 20, 2024
    Assignee: Xidian University
    Inventors: Lan Du, Zengyu Yu, Xiaoyang Chen, Zenghui Li, Chunxin Wang
  • Patent number: 11678177
    Abstract: Disclosed is a dual-link wireless ad hoc network and a security defense method in an emergency scene, aiming at comprehensively improving its security defense capability. The method comprises: sending, by a source node, the secret key and other messages which are not security defense messages through the second link; detecting, by a destination node, abnormal messages from the acquired valid messages after matching with abnormal message feature library, filtering the abnormal messages out, and quickly broadcasting the features of new abnormal messages through the first link; checking, by a new node to be added to the network, the identity and hardware state, authorizing the new node without abnormality, and broadcasting the authorization result information through the first link; adding, by other nodes receiving the security defense messages, the features of the new abnormal messages to their own abnormal message feature library, and allowing the entry of the new node.
    Type: Grant
    Filed: January 26, 2021
    Date of Patent: June 13, 2023
    Assignee: Xidian University
    Inventors: Wenchi Cheng, Chunhua Chen, Muyao Wang
  • Publication number: 20230022943
    Abstract: A method for defending against an adversarial sample in image classification includes: denoising, by an adversarial denoising network, an input image to acquire a reconstructed image; acquiring, by a target classification model, a predicted category probability distribution of the reconstructed image; acquiring, by the target classification model, a predicted category probability distribution of the original input image; calculating an adversarial score of the input image, and determining the input image as an adversarial sample or a benign sample according to a threshold; outputting a category prediction result of the reconstructed image if the input image is determined as the adversarial sample; and outputting a category prediction result of the original input image if the input image is determined as the benign sample. A system for defending against an adversarial sample in image classification, and a data processing terminal are further provided.
    Type: Application
    Filed: March 21, 2022
    Publication date: January 26, 2023
    Applicant: Xidian University
    Inventors: Yang Xiao, Chengjia Yan, Qingqi Pei
  • Patent number: 11538930
    Abstract: A bidirectional blocking monolithic heterogeneous integrated Cascode-structure field effect transistor, which mainly solves a problem that the existing monolithic heterogeneous integrated Cascode-structure field effect transistor has no reverse blocking characteristic. The field effect transistor includes a substrate, a GaN buffer layer, an AlGaN barrier layer and a SiN isolation layer, wherein an isolation groove is etched in the middle of the SiN isolation layer, a Si active layer is printed on the SiN isolation layer on one side of the isolation groove so as to prepare a Si metal oxide semiconductor field effect transistor, and a GaN high-electron-mobility transistor is prepared on the other side of the isolation groove, and a drain electrode of the GaN high-electron-mobility transistor is in Schottky contact with the AlGaN barrier layer to form a bidirectional blocking monolithic heterogeneous integrated Cascode-structure field effect transistor.
    Type: Grant
    Filed: March 15, 2021
    Date of Patent: December 27, 2022
    Assignee: Xidian University
    Inventors: Chunfu Zhang, Weihang Zhang, Jiaqi Zhang, Guofang Yang, Yichang Wu, Dazheng Chen, Jincheng Zhang, Yue Hao
  • Publication number: 20220237519
    Abstract: A distributed support vector machine privacy-preserving method includes: dividing a secret through secret sharing among all participating entities, iteratively exchanging a part of the information divided by the participating entities, and solving sub-problems locally; performing an iteration until a convergence is reached to find a global optimal solution; and in consideration of the generality of the privacy-preserving method, adopting a privacy-preserving method based on a vertical data distribution and a privacy-preserving method based on a horizontal data distribution, respectively; wherein the participating entities do not trust each other, and interact through a multi-party computation for local training. The method is applied to an honest-but-curious scenario, and uses the idea of data division to perform local computation through the interaction of part of the data among users to finally reconstruct the secret to preserve data privacy.
    Type: Application
    Filed: May 12, 2021
    Publication date: July 28, 2022
    Applicants: Xidian University, Xi'an Xidian Blockchain Technology CO., Ltd.
    Inventors: Lichuan Ma, Qingqi Pei, Zijun Huang
  • Publication number: 20220231960
    Abstract: A method for joint optimization of resource allocation includes: obtaining network data volumes of two services; obtaining queue statuses at a time t; computing sub-channel slices; computing a local CPU speed scaling, a user association, a sub-carrier assignment, and a power allocation of service 1; computing a user association, a video quality decision, and a sub-carrier assignment of service 2; obtaining an initial sub-carrier assignment and an initial power allocation; obtaining the user association; obtaining the power allocation and the sub-carrier assignment of service 1; obtaining the video quality decision; obtaining the sub-carrier assignment of service 2; obtaining an optimal data transmission rate and the user association to obtain a data rate allocation; and obtaining an optimal CPU speed scaling, an optimal user association, an optimal sub-carrier assignment, an optimal power allocation, an optimal video quality decision and an optimal sub-channel allocation.
    Type: Application
    Filed: June 4, 2021
    Publication date: July 21, 2022
    Applicants: Xidian University, Xi'an Xidian Blockchain Technology CO., Ltd.
    Inventors: Jie Feng, Qingqi Pei, Peixin Yue
  • Publication number: 20220222536
    Abstract: A trusted graph data node classification method includes: (1) inputting a topological graph and node features, and calculating a discrete Ricci curvature of the discrete topological graph; (2) preprocessing the curvature and the node features; (3) mapping the curvature, reconstructing original features, and performing a semi-supervised training on graph data containing adversarial examples; and (4) performing a classification on unlabeled nodes. The new method uses a discrete curvature to extract topological information, and uses a residual network to reconstruct node feature vectors without knowing the technical details of the adversarial examples, and without using a large number of adversarial examples for adversarial training. Hence, the system effectively defends against attacks from adversarial examples on the graph data, outperforms the existing mainstream models in terms of accuracy when used in data without adversarial examples, and is thus a trusted node classification system.
    Type: Application
    Filed: May 20, 2021
    Publication date: July 14, 2022
    Applicants: Xidian University, Xi'an Xidian Blockchain Technology CO., Ltd.
    Inventors: Yang Xiao, Qingqi Pei, Zhuolin Xing
  • Publication number: 20220190232
    Abstract: A piezoelectric transducer is provided herein, comprising a three-dimensional structure made of a plurality of peptides, the peptides being self-assembling and the structure being piezoelectric, wherein at least a portion, or each, of said plurality of peptides comprises peptides of 2 to 10 amino acid residues, provided that the plurality of peptides is not consisted of a plurality of Phe-Phe dipeptides. Further described herein are peptides having an amino acid sequence Hyp-Phe-Phe, Boc-Dip-Dip, (L)Trp-(D)Trp or (D)Trp-(L)Trp, as well as three-dimensional structures comprising such peptides.
    Type: Application
    Filed: March 25, 2020
    Publication date: June 16, 2022
    Applicants: Ramot at Tel-Aviv University Ltd., Xidian University
    Inventors: Ehud GAZIT, Santu BERA, Yu CHEN, Sharon GILEAD, Kai TAO, Sigal LAZAR, Rusen YANG, Sudipta MONDAL, Vasantha BASAVALINGAPPA
  • Patent number: 11307219
    Abstract: The present disclosure relates to the technical field of microwave test, and discloses a method and a system for analyzing the spatial resolution of a microwave near-field probe and a microwave microscope equipped with the system, wherein in the method for analyzing the spatial resolution of the microwave near-field probe, a three-dimensional equipotential surface in a sample is drawn by using an electric field formula calculated by a quasi-static theory; an equivalent model of a probe sample is established by using finite element analysis software, so as to change material characteristics in the area outside the three-dimensional equipotential surface; by observing the influence of changing materials on the potential distribution in the sample, a near-field action range of the probe is determined, and the spatial resolution of the microwave near-field scanning microscope is analyzed and calculated.
    Type: Grant
    Filed: April 12, 2021
    Date of Patent: April 19, 2022
    Assignee: Xidian University
    Inventors: Xiaolong Chen, Jia Sun, Kai Yang, Zhimin Liu
  • Publication number: 20220092819
    Abstract: A method and system for calibrating extrinsic parameters between a depth camera and a visible light camera. Acquiring depth images and visible light images of the checkerboard plane in different transformation poses; determining visible light checkerboard planes of different transformation poses in a coordinate system of the visible light camera and depth checkerboard planes of different transformation poses in a coordinate system of the depth camera; determining a rotation matrix from the coordinate system of the depth camera to the coordinate system of the visible light camera; determining a translation vector from the coordinate system of the depth camera to the coordinate system of the visible light camera; rotating and translating the coordinate system of the depth camera, so that the coordinate system of the depth camera coincides with the coordinate system of the visible light camera to complete the extrinsic calibration of the dual cameras.
    Type: Application
    Filed: January 8, 2021
    Publication date: March 24, 2022
    Applicant: Xidian University
    Inventors: Guang JIANG, Zixuan BAI, Ailing XU, Jing JIA
  • Patent number: 11133185
    Abstract: The present invention discloses an epitaxial lift-off process of graphene-based gallium nitride (GaN), and principally solves the existing problems about complex lift-off technique, high cost, and poor quality of lift-off GaN films. The invention is achieved by: first, growing graphene on a well-polished copper foil by CVD method; then, transferring a plurality of layers of graphene onto a sapphire substrate; next, growing GaN epitaxial layer on the sapphire substrate with a plurality of graphene layers transferred by the metal organic chemical vapor deposition (MOCVD) method; finally, lifting off and transferring the GaN epitaxial layer onto a target substrate with a thermal release tape. With graphene, the present invention relieves the stress generated by the lattice mismatch between substrate and epitaxial layer; moreover, the present invention readily lifts off and transfers the epitaxial layer to the target substrate by means of weak Van der Waals forces between epitaxial layer and graphene.
    Type: Grant
    Filed: June 18, 2020
    Date of Patent: September 28, 2021
    Assignee: Xidian University
    Inventors: Jing Ning, Jincheng Zhang, Dong Wang, Yanqing Jia, Chaochao Yan, Boyu Wang, Peijun Ma, Yue Hao