Now showing items 1-3 of 3

    • Driver distraction detection system using visual sensors based on deep learning 

      Tendai, P. N.; Kudzai, B. C. (БНТУ, 2025)
      Drivers often engage in secondary activities that divert attention from driving, increasing accident risks. This study uses deep learning, specifically Squeeze Net 1.1, to detect visual and cognitive distractions through camera-based monitoring of the driver’s face, hands, and body. Comparative analysis of algorithms shows ResNet offers the best accuracy. The system effectively ...
      2026-01-14
    • Optimization and efficiency improvement of rectifiers with intephase transformer 

      Kudzai, B. C.; Munyaradzi, C. R.; Didmus, T. M.; Rajkumar, P.; Bukelani, Musiiwa P. (БНТУ, 2025)
      In this paper, operation of twelve pulse rectifier transformer with interphase transformer is presented and simulated implemented 12-pulse IGBT rectifier system. A 35k A, 450 V rectifier transformer is analysed and investigated focusing on performance and harmonic analysis of power converter system. This design results tends to reduce of harmonics of utility line current. Power ...
      2026-01-14
    • Synchronous buck converter for MPPT charge controller 

      Lusani, Y. N.; Kudzai, B. C.; Tanaka, D.; Didymus, T. M. (БНТУ, 2025)
      This paper presents the design, simulation, and experimental validation of a synchronous buck converter for maximum power point tracking (MPPT) charge controllers. Conventional buck converters suffer from diode conduction losses that reduce efficiency, particularly in low-voltage, high-current applications. By replacing the diode with a synchronously controlled MOSFET, the proposed ...
      2026-01-14