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This paper proposes a multicore DVFS method that predicts the best voltage/frequency setting for the embedded system. A smart adjustment mechanism for performance is also provided to users under various performance requirements. The algorithm has been implemented on the platform NVIDIA JETSON Tegra K1. The results show that the proposed DVFS scheme could accurately predict the suitable frequency,...
Eye movements can provide important information for human-computer interactive applications. Due to the progress of computer technology, the detecting accuracy and speed of pattern recognition are promoted. Additionally, according to research advances in embedded systems, the applications of digital cameras, such as internet cameras, smart phones and smart TV, and smart cars, are widely used in nowadays...
This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving and implements it on an embedded system. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. Firstly, to effectively extract bright objects of interest, a segmentation...
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