Taichung, Taiwan

Shu-Yu Wu

This inventor holds 1 USPTO granted patent. Top assignee: National Tsing Hua University. Active years: 2015.


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2015

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1 patent (USPTO):Explore Patents

Title: Innovations of Shu-Yu Wu in Data Error Detection

Introduction

Shu-Yu Wu is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of data error detection. His innovative approach has led to the development of a unique system that enhances data integrity.

Latest Patents

Shu-Yu Wu holds a patent for a "Data error-detection system and data error-detection method thereof." This invention discloses a comprehensive data error-detection system that includes an initializing module, an encoding module, a decoding module, and a restoring module. The initializing module arranges transmitting data in a 3D matrix to produce information data. The encoding module encodes this information data to generate checking data, which is then combined with the information data to produce encoding data. The decoding module receives this encoding data and utilizes the checking data to detect and correct any errors in the information data, ultimately producing 3D matrix receiving data. The restoring module then generates receiving data based on the 3D matrix receiving data. This innovative system effectively achieves error detection and correction of data.

Career Highlights

Shu-Yu Wu is affiliated with National Tsing Hua University, where he continues to contribute to research and development in his field. His work has garnered attention for its practical applications in improving data reliability.

Collaborations

Shu-Yu Wu has collaborated with Cheng-Wen Wu, further enhancing the scope and impact of his research endeavors.

Conclusion

Shu-Yu Wu's contributions to data error detection exemplify the importance of innovation in technology. His patented system not only addresses critical issues in data integrity but also showcases the potential for future advancements in this area.

Profile summary based on public USPTO records.
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