Gwangju, South Korea

Dong Yun Lee

This inventor holds 1 USPTO granted patent. Top assignee: Gwangju Institute of Science and Technology. Active years: 2018.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dong Yun Lee. Retrieved from https://idiyas.com/inventor/dong-yun-lee-5v642ubk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations of Dong Yun Lee in Sound Detection Technology

Introduction

Dong Yun Lee is an accomplished inventor based in Gwangju, South Korea. He has made significant contributions to the field of sound detection technology. His innovative approach focuses on recognizing hazardous situations through advanced sound analysis methods.

Latest Patents

Dong Yun Lee holds a patent for a sound detection method aimed at recognizing hazard situations. This method involves detecting abnormal sounds in environments with background noise. The process includes acquiring sound from a microphone, separating abnormal sounds using non-negative matrix factorization (NMF), and extracting Mel-frequency cepstral coefficient (MFCC) parameters. Additionally, it calculates hidden Markov model (HMM) likelihoods and compares them with reference values to determine the occurrence of abnormal sounds. This method ensures stable detection of sounds even in noisy environments.

Career Highlights

Dong Yun Lee is affiliated with the Gwangju Institute of Science and Technology, where he continues to advance his research in sound detection. His work has garnered attention for its practical applications in safety and hazard recognition.

Collaborations

He collaborates with notable colleagues, including Kwang Myung Jeon and Hong-Kook Kim, who contribute to his research endeavors.

Conclusion

Dong Yun Lee's innovative sound detection method represents a significant advancement in recognizing hazardous situations. His contributions to this field highlight the importance of technology in enhancing safety measures.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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