METHOD FOR PREDICTING CHANNEL BASED ON IMAGE PROCESSING AND MACHINE LEARNING

    公开(公告)号:US20250078442A1

    公开(公告)日:2025-03-06

    申请号:US18815320

    申请日:2024-08-26

    Abstract: The present disclosure discloses a method for predicting a channel based on an image processing and a machine learning, which belongs to the field of the channel prediction. The method introduces an image semantic segmentation technology to identify and segment a scatterer in a scenario image, extracts the effective position information of the scatterer, and identify a scenario in the segmented image. The subsequent feature extraction is performed in a similar scenario through the scenario identification, which facilitates extracting the more tiny environment features. The semantic segmentation images of the known scenarios are jointly input into a feature extraction and channel prediction network to complete the channel prediction. Therefore, the environment information can be input more flexibly through the semantic segmentation technology, so that the accuracy of the model is improved, and the precision higher than that of a traditional channel model is finally obtained, which is beneficial for better satisfying the technical requirement of full coverage for the multi-frequency bands and multi-scenarios in a 6G system.

    PREDICTION METHOD FOR CROSSTALK SPIKE IN HALF-BRIDGE OF CURRENT SOURCE TYPE INVERTER WITH SILICON CARBIDE DEVICES

    公开(公告)号:US20250076349A1

    公开(公告)日:2025-03-06

    申请号:US18553966

    申请日:2022-11-24

    Abstract: The present invention discloses a prediction method for a crosstalk spike in a half bridge of current-source inverter with silicon carbide devices, where, the prediction method includes calculation of the crosstalk voltage spike in the circuit of current-source type double-pulse test and analysis of the effect of each parameter on the magnitude of the crosstalk spike. The prediction method of the present invention analyzes the horizontal conduction crosstalk mechanism between the gate-source junction of the MOSFET caused by the high-frequency switching action of the silicon carbide (SiC) MOSFET and the SiC Schottky diode connected in series, and derives the prediction model for the crosstalk voltage spike in the half-bridge of current-source inverter. Based on the equivalent circuit of the current-source-type double-pulse test and the crosstalk-induced mechanism, the extreme value of crosstalk voltage spike is accurately predicted, which is helpful to analyze the effects of the drive circuit and the parameters of the power circuit on the crosstalk voltage spike through the prediction model.

    EMBRACING CRAWLING ROBOT FOR DETECTING UNDERWATER PIER OF HIGHWAY BRIDGE AND DETECTION METHOD THEREFOR

    公开(公告)号:US20250073911A1

    公开(公告)日:2025-03-06

    申请号:US18896856

    申请日:2024-09-25

    Abstract: Disclosed are an embracing crawling robot for detecting an underwater pier of a highway bridge and a detection method therefor. The robot includes a main body, underwater lighting systems, tool compartments, depth metering modules, servo driving wheels, inclination measurement modules, underwater manipulator arms, vision array modules, synchronized stretching and fixing systems, and driven wheels. The robot is capable of crawling around an underwater pier of a highway bridge and operating stably in an underwater environment. After cleaning surface attachments on the underwater pier, the robot performs visual detection of a disease; and after determining type and location information of the disease, the robot will transmit disease information back. The robot is capable of crawling around the underwater pier of the highway bridge stably at any depths, perceiving depth and visual information under high-speed and turbid water conditions, thereby realizing detection of the disease on the underwater pier.

    EEG RECOGNITION METHOD FOR NATURAL HAND MOVEMENT BASED ON TIME-DOMAIN AND FREQUENCY-DOMAIN MULTI-LAYER BRAIN NETWORK

    公开(公告)号:US20250072812A1

    公开(公告)日:2025-03-06

    申请号:US18808099

    申请日:2024-08-19

    Abstract: Disclosed is an EEG recognition method for a natural hand movement based on a time-domain and frequency-domain multi-layer brain network, including: (1) acquiring a multi-channel EEG signal of the natural hand movement; (2) preprocessing the multi-channel EEG signal, and extracting a δ wave, a θ wave, a α wave, a β wave, and a γ wave at each time point; (3) constructing a time-domain multi-layer brain network using a wSAR model; (4) calculating the frequency-domain multi-layer brain network using the phase-amplitude coupling; (5) combining the time-domain multi-layer brain network and the frequency-domain multi-layer brain network, and performing standardization; and (6) calculating metrics of the time-domain and frequency-domain multi-layer brain network and a super-adjacency matrix of a decomposed time-domain and frequency-domain multi-layer brain network, inputting the same to a two-layer graph convolutional network (GCN), and fusing manual, shallow, and deep features for analysis.

    METHOD FOR DETECTING SLOW HTTP DOS IN BACKBONE NETWORK

    公开(公告)号:US20250023910A1

    公开(公告)日:2025-01-16

    申请号:US18548937

    申请日:2023-06-26

    Abstract: A method for detecting slow HTTP DoS (SHD) attacks in a backbone network can detect three different types of SHID attacks. The method is divided into an off-line training phase and an on-line detection phase. In the off-line training phase, several types of representative unidirectional traffic features are extracted according to attack characteristics of different SHD types and corresponding feature groups are built, where these features can effectively deal with a large amount of unidirectional traffic in backbone networks; a public backbone network dataset is systematically sampled and data are stored in combination with Count-min Sketch, which greatly minimizes storage and computational overhead required in the backbone networks; and a specific machine learning algorithm is used for training to obtain attack detection models. The method can be used for detecting and warning SHD attacks in mass traffic scenarios such as backbone networks to provide a basis for maintaining network security.

    Passenger-Vehicle Matching Method for Online Ride-sharing service

    公开(公告)号:US20250005699A1

    公开(公告)日:2025-01-02

    申请号:US18705549

    申请日:2023-01-06

    Abstract: Provided in the present invention is a passenger-vehicle matching method for an online ride sharing. In the present invention, firstly, matching is performed on passengers by using an integer linear programming algorithm, so as to form a passenger combination scheme involving the optimal total travel time of the passengers; and secondly, in the present invention, virtual passenger combinations or virtual vehicles are supplemented, such that the number of passenger combinations is the same as the number of vehicles, and the passenger combinations are matched with the vehicles by using the integer linear programming algorithm again, so as to obtain a passenger-vehicle matching scheme involving the optimal total travel time. The present invention optimizes the passenger-vehicle matching process in online ride-hailing shared travel, enhancing user experience and efficiency, while also promoting a green traffic mode that significantly reduces urban traffic pressure and pollution.

    Type-II AEBS test and evaluation device and method based on BeiDou space-time reference

    公开(公告)号:US12174086B2

    公开(公告)日:2024-12-24

    申请号:US17784806

    申请日:2021-09-23

    Inventor: Qimin Xu Xu Li

    Abstract: Disclosed are a Type-II Autonomous Emergency Braking System (AEBS) test and evaluation device and method based on a BeiDou space-time reference, where the device includes three parts: a roadside-end information acquisition module, a vehicle-end information acquisition module, and an integrated information processing module. The roadside-end information acquisition module can acquire accurate message sending time by means of a BeiDou time service unit: the vehicle-end information acquisition module can acquire accurate time of receiving a roadside-end message, information acquired by a combined inertial navigation unit, and audio/vibration information acquired by a Single Chip Microcomputer (SCM) embedded unit; and the integrated information processing module can implement accurate, quantitative test and evaluation of indexes such as a vehicle-road communication delay and warning signal sending time. The method of the present disclosure performs data analysis and processing based on a globally unified BeiDou space-time reference and by means of a Support Vector Machine (SVM)-based dynamic Hermite interpolation method, which has an accurate test and evaluation result. Further, the method does not have any requirements for a communication system of the type-II AEBS, thus achieving convenient testing and a wide range of application.

    CALCULATION METHOD FOR SERVICE LIFE OF CONCRETE IN PLATEAU ENVIRONMENT CONSIDERING PROTECTION AND RESTORATION EFFECTS

    公开(公告)号:US20240393315A1

    公开(公告)日:2024-11-28

    申请号:US18444886

    申请日:2024-02-19

    Abstract: A calculation method for service life of concrete in a plateau environment considering protection and restoration effects is provided and includes a construction of a model based on a coupling effect of multi-factors of temperature-humidity-salt concentration-load under the plateau environment, simulation of protection and restoration effects, and quantification of service life. The model includes the physical fields of temperature conduction with variable boundary conditions, water dry-wet cycle transport, salt ion transport, and force fields caused by internal and external loads. The simulation of protection and restoration effects include: surface protective coating, damage restoration, and rebar corrosion resistance. The calculation method can simulate the internal temperature, humidity, stress response, and service life of concrete under different plateau environments using the surface protective coating, damage restoration material, and rebar corrosion resistance material, or a combination of protective and damage restoration materials simultaneously.

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