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Justin Edwards and Mohamed El-Sharkawy
Semantic segmentation is a machine learning task that is seeing increased utilization in multiple fields, from medical imagery to land demarcation and autonomous vehicles. A real-time autonomous system must be lightweight while maintaining reasonable acc...
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Matias Carandell, Daniel Mihai Toma, Andrew S. Holmes, Joaquín del Río and Manel Gasulla
Wave Energy Converters (WECs) are an ideal solution for expanding the autonomy of surface sensor platforms such as oceanic drifters. To extract the maximum amount of energy from these fast-varying sources, a fast maximum power point tracking (MPPT) techn...
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Xinzhi Liu, Jun Yu, Toru Kurihara, Congzhong Wu, Zhao Niu and Shu Zhan
It seems difficult to recognize an object from its background with similar color using conventional segmentation methods. An efficient way is to utilize hyperspectral images that contain more wave bands and richer information than only RGB components. Pa...
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Wenxiang Yang, Yaozhen Han, Ronglin Ma, Mingdong Hou and Guang Yang
The floating platform motion of an offshore wind turbine system can exacerbate output power fluctuations and increase fatigue loads. This paper proposes a new scheme based on a fast second-order sliding mode (SOSM) control and an adaptive super-twisting ...
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Yang Yi, Ke Sun, Yongqian Liu, Gang Ma, Chuankai Zhao, Fukang Zhang and Jianhua Zhang
The wave-energy excitation of point absorbers is highly associated with their resonant movement, and harmonic characteristics are of increasing concern in affecting resonance. However, the commonly used linearized power take-off (PTO) systems underestima...
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