Jiangchen Yu

Papers

Total Citations

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About

Jiangchen Yu is a researcher specializing in embedded systems, fuzzy logic, and real-time image processing. His work focuses on the practical implementation of intelligent algorithms on resource-constrained hardware platforms. His most cited paper, "Implementation of fuzzy color extractor on NI myRIO embedded device" (2014, 7 citations), introduces a novel approach to color extraction that uses fuzzy rules to identify specific colors based on a user-defined color seed. By deploying this fuzzy color extractor on the NI myRIO embedded device—which integrates the Xilinx Zynq-7010 all-programmable SoC—Yu demonstrates how complex, rule-based image processing can be executed in real-time on compact, low-power hardware. This contribution bridges the gap between theoretical fuzzy logic and practical embedded vision systems, offering a scalable solution for applications in robotics, automation, and smart sensing. Though his citation count is modest, Yu’s work is notable for its hands-on, implementation-driven methodology, providing a valuable reference for engineers and researchers seeking to deploy intelligent color recognition in real-world, embedded environments.