The drag reduction effect is achieved by adding roughness to the cyclist’s jersey to induce a drag crisis phenomenon to occur in a desirable speed range.
Utilizing the image recognition and deep-learning technologies to acquire cyclist’s frontal area and riding position, the drag coefficient can be calculated with the drag and wind speed reduced in the system. Thus, the real-time drag coefficient and the frontal area (reference area) can be presented in the self-developed mobile app.
National Cheng Kung University (NCKU) envisions its campus as a place that nurtures imagination, grounded in solid academic research and high-quality learning. The university is committed to fostering urban development and global sustainability as part of its centennial mission. By breaking institutional barriers and strengthening interdisciplinary teaching and research, NCKU encourages students to recognize social issues, produce research that meets societal needs, and actively engage in solving global challenges—reflecting its responsibility as a leading university.
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Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
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