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    HYSTERESIS CURRENT CONTROL FOR MODULAR MULTILEVEL CONVERTERS USING ACCELERATION SLOPE
    1.
    发明申请
    HYSTERESIS CURRENT CONTROL FOR MODULAR MULTILEVEL CONVERTERS USING ACCELERATION SLOPE 有权

    公开(公告)号：US20240388220A1

    公开(公告)日：2024-11-21

    申请号：US18653462

    申请日：2024-05-02

    Applicant: University of Manitoba

    Inventor： Chen Jiang ,  Aniruddha M. Gole

    IPC: H02M7/483 ,  H02M1/00 ,  H02M1/12

    Abstract: Novel methodology and controller for hysteresis current control in modular multilevel converters (MMCs). With this novel acceleration slope-based hysteresis current control, the MMC can behave as a high-bandwidth and high-precision current source with much reduced power loss in comparison with the two-level voltage source converter (VSC) with traditional hysteresis current control. At regular sampling intervals, a value of the outputted AC current signal is compared against a prescribed range whose upper and lower limits straddle a reference current signal to which the outputted AC current signal is to be conformed. If the measured value is above or below the range, a current/time slope of the reference current is decreased or increased, respectively, to modify a reference voltage to be imparted at the output port of the MMC to control the outputted AC current signal.

    Method and apparatus for active noise cancellation using deep learning
    3.
    发明授权
    Method and apparatus for active noise cancellation using deep learning 有权

    公开(公告)号：US12087265B2

    公开(公告)日：2024-09-10

    申请号：US18177885

    申请日：2023-03-03

    Applicant: University of Manitoba

    Inventor： Young Jin Cha ,  Sukhpreet Singh Benipal

    IPC: G10K11/178

    CPC classification number: G10K11/1781 ,  G10K11/1785

    Abstract: A computer-implemented method for generating anti-noise using an anti-noise generator to suppress noise from a noise source in an environment comprises processing a sound signal, which is representative of ambient sound including noise, anti-noise and propagation noise from the environment, using a deep learning algorithm configured to generate an anti-noise signal to form anti-noise. The deep learning algorithm comprises a convolution layer; after the convolution layer, a series of atrous scaled convolution modules, wherein each of the atrous scaled convolution modules comprises an atrous convolution, a nonlinear activation function after the atrous convolution, and a pointwise convolution after the nonlinear activation function; after the series of atrous scaled convolution modules, a recurrent neural network; and after the recurrent neural network, a plurality of fully connected layers.

    METHOD OF OBTAINING CHANNEL STATE INFORMATION IN WIRELESS COMMUNICATION NETWORK HAVING ARTIFICIAL WAVE TRANSFORMER
    4.
    发明公开
    METHOD OF OBTAINING CHANNEL STATE INFORMATION IN WIRELESS COMMUNICATION NETWORK HAVING ARTIFICIAL WAVE TRANSFORMER 审中-公开

    公开(公告)号：US20240291535A1

    公开(公告)日：2024-08-29

    申请号：US18432222

    申请日：2024-02-05

    Applicant: University of Manitoba

    Inventor： Firas Fredj ,  Amal Feriani ,  Amine Mezghani ,  Ekram Hossain

    IPC: H04B7/06 ,  H04W24/02

    CPC classification number: H04B7/0626 ,  H04W24/02

    Abstract: A method of obtaining channel state information of a communication channel between a user device and an access point with plural antennas features steps of forming separate statistical models representative of a first channel portion between the access point and a wave transformer located at a geographically intermediate location between the access point and the user device, which is configured to reflect electromagnetic signals between the access point and the user device and has electronically reconfigurable antennas, and a second channel portion between the wave transformer and the user device; and processing, using respective machine learning algorithms configured to determine parameters of a type of tractable statistical distribution selected to represent both the first and second portions of the channel, a transmitted signal so as to form parametrized tractable statistical distributions respectively defining the separate statistical models of the first and second portions of the communication channel.

    Barrier
    9.
    外观设计
    Barrier 有权

    公开(公告)号：USD996651S1

    公开(公告)日：2023-08-22

    申请号：US29663853

    申请日：2018-09-19

    Applicant: University of Manitoba

    Designer： Andrea Doussis ,  Haim Chernyakov ,  Justin Munonye ,  Abduselam Yussuf

    Abstract: FIG. 1 is a front perspective view of a barrier showing our new design;
    FIG. 2 is a rear perspective view of the barrier;
    FIG. 3 is a top plan view of the barrier, the bottom plan view being identical thereto;
    FIG. 4 is a front elevational view of the barrier;
    FIG. 5 is a rear elevational view of the barrier;
    FIG. 6 is a side elevational view of the barrier;
    FIG. 7 is an opposing side elevational view of the barrier; and,
    FIG. 8 is another front perspective view of the barrier.
    The broken lines in FIGS. 1, 2 and 4 through 7 represent portions of the barrier that form no part of the claimed design. The other broken lines shown in FIG. 8 represent environmental subject matter and form no part of the claimed design.

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