公开(公告)号：US12118973B2

公开(公告)日：2024-10-15

申请号：US17772517

申请日：2020-08-31

申请人： TONGJI UNIVERSITY

发明人： Yong Li ,  Sibo Huang ,  Zhiling Zhou

IPC分类号： G10K11/172 ,  G10K11/162

CPC分类号： G10K11/172 ,  G10K11/162

摘要： A Helmholtz resonator and a low-frequency broadband sound-absorbing and noise-reducing structure based on the same is provided. The Helmholtz resonator includes a Helmholtz resonator body, at least one embedded tube is disposed in the Helmholtz resonator body, and an inner surface of an opening of the Helmholtz resonator body wraps around an outer side of one of the embedded tubes; and all the embedded tubes are not in contact with each other. The low-frequency broadband sound-absorbing and noise-reducing structure includes a rigid framework, and at least two Helmholtz resonators are disposed in parallel in the framework. The Helmholtz resonator not only achieves a better low-frequency broadband sound absorption and noise reduction effect, but also reduces a thickness of the Helmholtz resonator more effectively. The low-frequency broadband sound-absorbing and noise-reducing structure enhances a sound absorption effect of each weak sound-absorbing Helmholtz resonator, and further achieves more efficient sound absorption.

公开(公告)号：US20240339029A1

公开(公告)日：2024-10-10

申请号：US18537771

申请日：2023-12-12

申请人： TONGJI UNIVERSITY

发明人： Lin ZHANG ,  Hong CHEN ,  Rongjie YU ,  Qiang MENG ,  Jinlong HONG

IPC分类号： G08G1/01 ,  B60W60/00 ,  G08G1/015

CPC分类号： G08G1/0133 ,  B60W60/00276 ,  G08G1/015

摘要： Disclosed is a method for predicting a trajectory of a traffic participant in a complex heterogeneous environment, including the following steps: obtaining traffic participant information in a complex heterogeneous environment; arranging and numbering traffic participant classes based on the class information, to obtain serial numbers of the traffic participant classes; establishing a position graph, a velocity graph, an acceleration graph, and a class graph, into each of which expert experience is introduced; and capturing topological structure relationships and time dependence relationships to obtain a position hidden state, a velocity hidden state, an acceleration hidden state, and a class hidden state; classifying the position hidden state, the velocity hidden state, the acceleration hidden state, and the class hidden state to obtain a hidden state set of traffic participants; and decoding hidden states of the traffic participants separately using a corresponding decoder to obtain future trajectory predictions of the traffic participants.

公开(公告)号：US20240336286A1

公开(公告)日：2024-10-10

申请号：US18539247

申请日：2023-12-13

申请人： TONGJI UNIVERSITY

发明人： Hong CHEN ,  Lin ZHANG ,  Rongjie YU ,  Qiang MENG ,  Jinlong HONG

IPC分类号： B60W60/00 ,  B60W40/04 ,  B60W50/00 ,  G06N3/04

CPC分类号： B60W60/00274 ,  B60W40/04 ,  B60W50/0097 ,  G06N3/04 ,  B60W2554/4041 ,  B60W2554/4045 ,  B60W2556/10

摘要： Disclosed is a decision-making and planning integrated method for a nonconservative intelligent vehicle in a complex heterogeneous environment, including the following steps: offline establishing and training a social interaction knowledge learning model; obtaining state data of the traffic participants and state data of an intelligent vehicle online in real time, and splicing the state data to obtain an environmental state; using the environmental state as an input to the trained social interaction knowledge learning model to obtain predicted trajectories of all traffic participants including the nonconservative intelligent vehicle; updating the environmental state based on the predicted trajectories; and inputting the updated environmental state to the social interaction knowledge learning model to complete trajectory decision-making and planning for the nonconservative intelligent vehicle by iteration, where a planned trajectory of the nonconservative intelligent vehicle is a splicing result of a first point of a predicted trajectory obtained by each iteration.

公开(公告)号：US20240321022A1

公开(公告)日：2024-09-26

申请号：US18372719

申请日：2023-09-26

申请人： Tongji University

发明人： Hong CHEN ,  Lin ZHANG ,  Rongjie YU ,  Chunlai Zhao ,  Jiaxing LU ,  Bin LI

IPC分类号： G07C5/08

CPC分类号： G07C5/0808

摘要： A vehicle state estimation method based on adaptive total variation denoising (TVD) filtering includes the following steps: step 1: collection and preprocessing of an original signal of a vehicle; step 2: noise level evaluation; step 3: Teager-Kaiser energy evaluation; step 4: optimization problem construction; and step 5: application of a filtered signal in the step 4 in the estimation of a vehicle state. The vehicle state estimation method is mainly based on the global noise level characteristic and the local intensity change characteristic of the vehicle system state data, and adaptive filtering of parameters is achieved by means of a TVD filtering method. The signal is denoised to the maximum extent, peak information of the signal is retained while the data smoothness is maintained, and then the signal is used for vehicle state estimation, working condition identification and the like.

公开(公告)号：US12061649B2

公开(公告)日：2024-08-13

申请号：US17951120

申请日：2022-09-23

申请人： TONGJI UNIVERSITY

发明人： Guosun Zeng ,  Tengteng Cheng ,  Chunling Ding

IPC分类号： G06F16/00 ,  G06F16/901 ,  G06F18/2323

CPC分类号： G06F16/9024 ,  G06F18/2323

摘要： The invention relates to a graph clustering method based on perception application algorithm semantics and a computer readable medium. The graph clustering method includes: acquiring original graph data G and a graph's application algorithm A; initializing a subgraph Gi; randomly selecting a vertex v and a corresponding connecting edge thereof from the graph G, and deleting the v and the corresponding edge thereof from the graph G; computing a semantic serial degree after adding the vertex v into the subgraph Gi; determining a clustering block with the maximum semantic serial degree, and adding the vertex v and the corresponding connecting edge into the subgraph; repeating the steps until the graph G is empty; and completing graph clustering, and outputting a clustering result. Compared with the prior art, the method provided by the invention has the advantages of being able to greatly accelerate application analysis and mining of big graph data.

公开(公告)号：US12044034B2

公开(公告)日：2024-07-23

申请号：US17830241

申请日：2022-06-01

申请人： Tongji University

发明人： Huanjun Jiang ,  Haozuo Wang ,  Liusheng He

IPC分类号： E04H9/02 ,  E04B1/04 ,  E04B1/98 ,  E04B2/58 ,  E04B5/38 ,  E04C3/293 ,  E04C5/16

CPC分类号： E04H9/021 ,  E04B1/04 ,  E04B1/98 ,  E04B2/58 ,  E04B5/38 ,  E04C3/293 ,  E04C5/165 ,  E04H9/0215 ,  E04H9/027

摘要： A novel function-recoverable prefabricated seismic shear wall structure with replaceable components, which includes main structural components, connecting components and replaceable components. All components are connected by bolts or pins. The connections can provide sufficient strength to effectively connect adjacent upper and lower wall panels, or wall panel and coupling beam, together. The replaceable components are installed in the bottom region of the wall and coupling beams, which provide sufficient bearing capacity and stiffness for the building structure under service loads and dissipate seismic energy under the earthquake. The damage concentrates on the replaceable components which could be easily replaced after a strong earthquake so that the function of the building structure could be quickly restored. In addition, the replaceable components with different energy-dissipation mechanisms facilitate the shear wall structure to have multiple seismic fortification lines, and improve the seismic performance of the building structure.

公开(公告)号：US12026442B2

公开(公告)日：2024-07-02

申请号：US18326003

申请日：2023-05-31

申请人： TONGJI UNIVERSITY

发明人： Jian Sun ,  Donghao Zhou ,  Ying Ni

IPC分类号： G06F30/27 ,  G06F111/10

CPC分类号： G06F30/27 ,  G06F2111/10

摘要： The disclosed relates to a hybrid traffic flow motion behavior modeling method based on an inference graph, wherein the method comprises: obtaining scene information, representing all traffic participants in the scene as vertices, and using directed edges to represent interaction relationships among traffic participants, so as to obtain the interaction graph; obtaining all possible interaction situations according to the interaction graph; based on each possible interaction situation, estimating the trajectory of each traffic participant in the interaction situation, and judging whether the trajectory conforms to a preset empirical decision-making criteria, so as to judge rationality of the interaction situation; and judging the rationality of all possible interaction situations obtained in the interaction situation generation step in turn until an interaction situation satisfying the rationality is found, and taking a trajectory of each traffic participant corresponding to the interaction situation as a final execution trajectory.

公开(公告)号：US20240174826A1

公开(公告)日：2024-05-30

申请号：US18518473

申请日：2023-11-23

申请人： Tongji University

发明人： Jia HUANG ,  Li LI ,  Tongrui SUN

IPC分类号： C08J5/18 ,  G01N27/22

CPC分类号： C08J5/18 ,  G01N27/226 ,  C08J2339/04

摘要： The present disclosure provides an ionic gel film preparation method, a chemical sensor and preparation method thereof, relating to the field of sensor technology. The preparation method of ionic gel film includes: blending a vinyl-free ionic liquid with a vinyl-containing ionic liquid and a specified additive to obtain a homogenous solution, taking a predetermined amount of the homogenous solution and dropping it onto a first substrate equipped with interdigital electrodes, flattening the homogenous solution on the first substrate using a second substrate, curing the flattened homogenous solution on the first substrate using ultraviolet light of a preset wavelength, and curing until the vinyl-containing ionic liquid polymerizes in situ to form an ionic gel film. The preparation method of ionic gel film, chemical sensor, and preparation method thereof of the present disclosure have the advantages of good device consistency, high conductivity, and good sensing performance when using the ionic gel film.

公开(公告)号：US20240151666A1

公开(公告)日：2024-05-09

申请号：US18081876

申请日：2022-12-15

申请人： Shanghai Institute of Measurement and Testing Technology ,  Tongji University

发明人： Lihua LEI ,  Chengming CAO ,  Yingfan XIONG ,  Zhangning XIE ,  Xiao DENG ,  Xinbin CHENG ,  Yuqing GUAN ,  Wenzhe ZOU ,  Yunxia FU

IPC分类号： G01N23/2252 ,  G01N23/2202

CPC分类号： G01N23/2252 ,  G01N23/2202 ,  G01N2223/079

摘要： The present application discloses a method for calibrating a parameter error of an electron probe microanalysis instrument. A one-dimensional grating standard template is prepared based on atom lithography technology. A theoretical grating period D of the one-dimensional grating standard template is calculated. The one-dimensional grating standard template is statically placed on a stage of the electron probe microanalysis instrument. The electron probe microanalysis instrument scans the one-dimensional grating standard template on the stage, performs image acquisition and measurement on a grid distance of the one-dimensional grating standard template to obtain a grating scanning distance measurement value L, and records a magnification ratio at this time. A calibration factor K under the magnification ratio is calculated according to D and L. The present application shortens the length of the traceability chain for calibrating the instrument, reduces the error accumulation in the quantity value dissemination process.

公开(公告)号：US11975705B1

公开(公告)日：2024-05-07

申请号：US18518356

申请日：2023-11-22

申请人： TONGJI UNIVERSITY

发明人： Hong Chen ,  Lin Zhang ,  Qiang Meng

IPC分类号： B60W10/20 ,  B60W40/09 ,  B60W50/00 ,  B60W60/00

CPC分类号： B60W10/20 ,  B60W40/09 ,  B60W50/0098 ,  B60W60/0015 ,  B60W2050/0031 ,  B60W2510/202

摘要： The present disclosure relates to a self-adaptive guided advanced driver assistance system (ADAS) considering a driving skill difference between drivers, including a driving skill classification module, configured to calculate a vehicle stability margin based on a vehicle state, and obtain a corresponding driving skill classification result with the vehicle stability margin and a driver state as inputs of a driving skill classification model; a skill learning range classification module, configured to obtain the vehicle stability margin and a distance between a vehicle and a lane line boundary, and use a skill learning range classification model to obtain a skill learning range classification result; and a self-adaptive guided driving right allocation module, configured to realize driving right allocation control based on the driving skill classification result and the skill learning range classification result, and generate an assisted steering torque acting on a vehicle steering system.