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  1. 1

    MSVPWM Based-SAPF For Harmonic Mitigation in The Distribution Network Under Unbalanced Condition by Haider Muhamad Husen, Salar Ahmed Qadir

    Published 2020-06-01
    “…The results show that MSVPWM performed better than CSVPWM. The simulated results obtained by MATLAB/SIMULINK power system environment. …”
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    Article
  2. 2

    Mitigation of Harmonics and Unbalanced Voltage Disturbance Compensation by MSVPWM Based- DVR in the Distribution Net by Haider Muhamad Husen

    Published 2021-07-01
    “…Pre-disturbance voltage compensation strategy and phase-locked-loop (PLL) based dq- space vector control are presented to improve a Dynamic Voltage Restorer (DVR), which restore the magnitude of voltage disturbance and displacement of phase angle to prior of voltage disturbance. 3-phase Multilevel strategy of Space Vector Pulse Width Modulation (MSVPWM) based- Multilevel Diode Clamped Converter (MDCC) is proposed as switching pulse signals employed low frequency, which creates high levels of voltage and fewer harmonics in the output waveform in comparison to 2-level SVPWM based- DVR. 3-level SVPWM based- DVR under balanced and imbalanced distortion voltage disturbances included sags and swells injected appreciated quantities of voltage, thereby attained ideal sinusoidal waveform with lower Total Harmonic Distortion THD% compared to 2-level SVPWM based- DVR. …”
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  3. 3

    Novel MSVPWM to Reduce the Inductor Current Ripple for Z-Source Inverter in Electric Vehicle Applications by Qianfan Zhang, Shuai Dong, Ping Xue, Chaowei Zhou, ShuKang Cheng

    Published 2014-01-01
    “…A novel modified space vector pulse width modulation (MSVPWM) strategy for Z-Source inverter is presented. …”
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  4. 4

    Hardness of (Semiuniform) MLWE with Short Distributions Using the Rényi Divergence by Wenjuan Jia, Baocang Wang

    Published 2023-01-01
    “…The module learning with errors (MLWE) problem has attracted considerable attention for its tradeoff between security and efficiency. …”
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    An MLLM-Assisted Web Crawler Approach for Web Application Fuzzing by Wantong Yang, Enze Wang, Zhiwen Gui, Yuan Zhou, Baosheng Wang, Wei Xie

    Published 2025-01-01
    “…In six real-world applications, CrawlMLLM detected 20 vulnerabilities while the next best method found six.…”
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    Predicting waste generation using Bayesian model averaging by M.G. Hoang, T. Fujiwara, S.T. Pham Phu, K.T. Nguyen Thi

    Published 2017-12-01
    Subjects: “…Municipal solid waste management (MSWM)…”
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