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128 条记录 (耗时 0.019 秒)

    METHOD FOR DEODORIZING SLUDGE WITH METAL SALT AND TANNIN EXTRACT TOGETHER, DEODORIZED SLUDGE, AND USE THEREOF
    2.
    发明公开
    METHOD FOR DEODORIZING SLUDGE WITH METAL SALT AND TANNIN EXTRACT TOGETHER, DEODORIZED SLUDGE, AND USE THEREOF 审中-公开

    公开(公告)号：US20240083798A1

    公开(公告)日：2024-03-14

    申请号：US18287034

    申请日：2021-10-15

    申请人： FUZHOU UNIVERSITY

    发明人： Minghua LIU ,  Jiantao LIN ,  Shuyu JIANG ,  Yuchuan YANG ,  Yuxin ZHOU ,  Yifan LIU

    IPC分类号： C02F11/00

    CPC分类号： C02F11/00 ,  C02F2303/02

    摘要： A method for deodorizing sludge with a metal salt and a tannin extract together, deodorized sludge, and use thereof are provided. The present invention provides a sludge deodorization technology that has high treatment efficiency, environmental friendliness, and low investment costs, and satisfies harmless requirements of subsequent resource utilization such as incineration, pyrolysis, or carbonization. Characterized by containing abundant phenolic hydroxyl groups, the tannin extract is used as a multidentate ligand to undergo a complexation reaction with metal ions, which reduces bioavailability of proteins and other macromolecules, and effectively inhibits production of low-volatile sulfides, thereby significantly deodorizing the sludge during standing and combustion. The whole deodorization process of the present invention is simple and feasible, is flexible in operation, requires no complex and harsh reaction conditions or expensive equipment, has low operating costs, and can be used as a supporting pretreatment technology for resource utilization of sludge.

    Two-step x-architecture steiner minimum tree construction method
    3.
    发明授权
    Two-step x-architecture steiner minimum tree construction method 有权

    公开(公告)号：US11886786B2

    公开(公告)日：2024-01-30

    申请号：US17776249

    申请日：2020-12-08

    申请人： FUZHOU UNIVERSITY

    发明人： Genggeng Liu ,  Wenzhong Guo ,  Guolong Chen

    IPC分类号： G06F30/347 ,  G06F111/06

    CPC分类号： G06F30/347 ,  G06F2111/06

    摘要： The invention relates to the technical field of computer-aided design of integrated circuits, and provides a two-step X-architecture Steiner minimum tree construction method for very large scale integration (VLSI). Based on the advantages of an X-architecture model and a particle swarm optimization technique, the method is implemented through two steps: (1) the stage of social learning discrete particle swarm search, which comprises: using an edge-vertex encoding strategy capable of maintaining optimal topological information of particles, designing a fitness function taking wirelength into consideration; and using a chaotic decreasing mutation strategy and a new social learning strategy to design a new discrete particle swarm update formula; and (2) a stage of wirelength optimization, which comprises: designing a local topological optimization strategy to minimize the wirelength of an X-architecture Steiner tree. The method guarantees short total wirelength of nets and has high stability, thus being able to construct a high-quality X-architecture Steiner minimum tree.

    Accurate control method of visual stimuli for brain-computer interface
    4.
    发明授权
    Accurate control method of visual stimuli for brain-computer interface 有权

    公开(公告)号：US11868530B2

    公开(公告)日：2024-01-09

    申请号：US17435172

    申请日：2021-01-28

    申请人： FUZHOU UNIVERSITY

    发明人： Zhihua Huang ,  Yingjie Wu

    IPC分类号： G06F3/01 ,  G06T1/20 ,  G06F3/14

    CPC分类号： G06F3/015 ,  G06F3/14 ,  G06T1/20

    摘要： Disclosed is an accurate control method of visual stimuli for a brain-computer interface. It is a common approach for brain-computer interfaces to evoke specific EEG signal patterns by visual stimuli and recognize the EEG signal patterns in real time. However, due to the influence of process scheduling, a process showing the visual stimuli may sometimes be dispatched out of a CPU, leading to the difficulty in guaranteeing the accuracy of the visual stimuli and the recognition effect of the EEG signal patterns. The invention designs a control method to support accurate visual stimuli of a brain-computer interface. A software system implementing the method comprises a generator, an actuator and a controller. The generator automatically generates an image sequence according to test requirements. The actuator is a module running on a GPU. At the beginning of a trail, the controller asynchronously calls an interface of the actuator to start the actuator, and the actuator accurately shows the image sequence generated by the generator. At the end of the trail, the controller asynchronously calls an interface of the actuator to stop showing visual stimuli.

    METHOD FOR REALIZING A MULTI-CHANNEL CONVOLUTIONAL RECURRENT NEURAL NETWORK EEG EMOTION RECOGNITION MODEL USING TRANSFER LEARNING
    7.
    发明申请
    METHOD FOR REALIZING A MULTI-CHANNEL CONVOLUTIONAL RECURRENT NEURAL NETWORK EEG EMOTION RECOGNITION MODEL USING TRANSFER LEARNING 有权

    公开(公告)号：US20230039900A1

    公开(公告)日：2023-02-09

    申请号：US17706627

    申请日：2022-03-29

    申请人： FUZHOU UNIVERSITY

    发明人： Liang-Hung Wang ,  I-chun Kuo

    IPC分类号： G06N3/08

    摘要： The invention provides a method for realizing a multi-channel convolutional recurrent neural network EEG emotion recognition model using transfer learning, the method uses a dual-channel one-dimensional convolutional neural network model constructed based on three heartbeats recognition method as the source domain model for transferring, to obtain a multi-channel convolutional recurrent neural network EEG emotion recognition model with EEG signal as the target domain, it solves the problem of scarcity of EEG labeling data, and can improve the accuracy of EEG emotion prediction. The accuracy of data processing is improved by decomposing and normalizing the EEG data set; the transferred multi-channel convolutional neural network extracts the features of multi-channel EEG signals in EEG data set; combined with the recurrent neural network, sequence modeling is carried out to extract multi-channel fused emotional information; the feature redistribution is realized by adaptive attention model and weighted feature fusion, and the complete feature tensor is obtained.

    THREE-DIMENSIONAL (3D) TERRAIN RECONSTRUCTION METHOD FOR SCOURED AREA AROUND BRIDGE PIER FOUNDATION BASED ON MECHANICAL SCANNED IMAGING SONAR
    8.
    发明申请
    THREE-DIMENSIONAL (3D) TERRAIN RECONSTRUCTION METHOD FOR SCOURED AREA AROUND BRIDGE PIER FOUNDATION BASED ON MECHANICAL SCANNED IMAGING SONAR 有权

    公开(公告)号：US20230014144A1

    公开(公告)日：2023-01-19

    申请号：US17700293

    申请日：2022-03-21

    申请人： Fuzhou University

    发明人： Shaofei Jiang ,  Sheng Shen ,  Jianteng Chen ,  Zheng Cao ,  Mingxian Li

    IPC分类号： G01S15/89 ,  G01S7/40 ,  G06T17/20

    摘要： A three-dimensional (3D) terrain reconstruction method for a scoured area around bridge pier foundation based on a mechanical scanned imaging sonar includes scanning an overall terrain of a scoured area around bridge pier foundation with a sonar from different azimuths to acquire n sonar images of a foundation scouring terrain; intercepting multiple analysis sections from each of acquired sonar images at a same distance; extracting key parameters of upper and lower edges on a terrain imaging strip in each of the analysis sections in the image, and transforming extracted parameters to a 3D space, a fan-shaped beam surface of the sonar being represented with a fan-shaped arc; recognizing a scour terrain profile in the analysis section; recognizing terrain profiles one by one, and respectively extracting spatially scattered 3D coordinate data; and performing interpolation and fitting on the spatially scattered data, thus implementing 3D reconstruction for the foundation scouring terrain.

    Array type paper chip for 2019-nCoV virus high-throughput detection and manufacturing method of array type paper chip
    10.
    发明授权
    Array type paper chip for 2019-nCoV virus high-throughput detection and manufacturing method of array type paper chip 有权

    公开(公告)号：US11364494B2

    公开(公告)日：2022-06-21

    申请号：US17330551

    申请日：2021-05-26

    申请人： Fuzhou University

    发明人： Hao Sun ,  Hui Dong ,  Yuan Jia

    IPC分类号： B01L3/00 ,  B32B7/12 ,  B32B9/06 ,  B32B38/00 ,  B23K26/00 ,  B32B17/06

    摘要： The invention relates to an array type paper chip for 2019-nCoV virus high-throughput detection and a manufacturing method of the array type paper chip. The array type paper chip comprises a glass substrate layer, a paper unit layer and a cell grid layer which are arranged in sequence from bottom to top, wherein the grid layer comprises N circular paper detection units with a diameter R being arranged in the form of an array; and the unit grids of the unit grid layer are in one-to-one correspondence to the paper detection units to separate the paper detection units. The array type paper chip is simple in structure, the manufacturing process is simple and stable, the finished products are stable, requirements on the processing environment and conditions are very low, and processing equipment is low in price. Moreover, the processing process does not revolve any chemical reagent, and therefore, the method is more environmentally friendly than methods such as ultraviolet lithography.