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The orientation of a mobile phone is a fundamental challenge in activity recognition (AR) on this device that significantly affects recognition accuracy. In this study, we propose a novel orientation-independent method to eliminate the influence of orientation changes on AR. This method is a dynamic coordinate transformation approach on inertial sensor data. In this method, the data collected in different...
Integrating massive electric vehicles (EVs) into the power grid requires charging to be coordinated to reduce energy costs and the peak-to-average ratio (PAR) of the system. The coordination becomes more challenging when the highly fluctuant renewable energies constitute a significant portion of the power resources. To tackle this problem, a novel two-stage EV charging mechanism is designed in this...
Integrating massive electric vehicles (EVs) into the power grid requires the charging to be coordinated to reduce the energy cost and peak to average ratio (PAR) of the system. The coordination becomes more challenging when the highly fluctuant renewable energies constitute a significant portion of the power resources. To tackle this problem, a novel two-stage EV charging mechanism is designed in...
Gesture recognition has been paid more and more attention as a new generation of human-computer interaction and visual input mode. In motion sensing games and other applications, gesture recognition is used as the input interface. However, because of its inherent features such as diversity, ambiguity, space-time difference and large computational burden, it is difficult to achieve the real-time application...
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