Sang-Kyun Kim

Title: Innovations of Sang-Kyun Kim

Introduction

Sang-Kyun Kim is a notable inventor based in Daejeon, South Korea. He has made significant contributions to the field of technology, particularly in machine learning and RF transceiver calibration. With a total of 7 patents to his name, Kim's work reflects a commitment to advancing technological solutions.

Latest Patents

One of his latest patents is titled "Method and apparatus for compression of a task output by machine learning." This invention discloses a method and apparatus for distributed image data processing. The method involves performing machine learning on an original image to produce various task outputs, combining these outputs to extract a final result, and compressing this final output for transmission to a server. Another significant patent is the "Method and device for calibrating IQ imbalance and DC offset of RF transceiver." This invention outlines a method for calibrating a DC offset and an I-Q imbalance component of an RF transceiver, which includes inputting a test signal into a transmitter and computing calibration constants from a sub-sampled signal.

Career Highlights

Sang-Kyun Kim has worked with reputable organizations such as the Electronics and Telecommunications Research Institute and the Myongji University Industry and Academia Cooperation Foundation. His experience in these institutions has allowed him to develop and refine his innovative ideas.

Collaborations

Throughout his career, Kim has collaborated with notable colleagues, including Ik Soo Eo and Hyun Kyu Yu. These partnerships have contributed to the successful development of his patents and innovations.

Conclusion

Sang-Kyun Kim's contributions to technology through his patents demonstrate his expertise and innovative spirit. His work continues to influence advancements in machine learning and RF technology.