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Previous works have shown that Dynamic Time Warping (DTW) algorithm is a proper method of feature extraction for electromyography (EMG)-based handwriting recognition. In this paper, several modifications are proposed to improve the classification process and enhance recognition accuracy. A two-phase template making approach has been introduced to generate(More)
In this paper, a new power dispatch and control methodology is proposed for a hybridized wind turbine and battery system to supply consistent power within each 30min. First, the desired battery state of charge (SOC) is determined as a function of wind speed offline using an probabilistic analysis of historical wind data. With this information, a one-step(More)
Every year, more than 100,000 automobile crashes are caused by driver drowsiness. Various technologies have been developed to address this issue, including vehicle-based measurements, behavior change detection, and physiological signal analysis. Both vehicle-based measurements and behavior change detection require bulky components. They also identify the(More)
A wind turbine achieves its highest energy efficiency during partial load operation when it operates at the optimal tip speed ratio (TSR), thus the optimal power coefficient. In this paper, real-time controllers are developed to improve the performance of tracking the optimal TSR during partial load operation. Dynamic programming (DP) is first applied to(More)
Cost reduction of wind power motivates the development of advanced control algorithms to enhance both efficiency and reliability of wind turbines. Achieving this goal can be done through maximizing wind energy capture while mitigating turbine fatigue loads. In this paper, an economic model predictive control framework is presented to achieve the(More)
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