Kideok Han

Title: Kideok Han: Innovator in Memory Device Training Systems

Introduction

Kideok Han is a notable inventor based in Suwon-si, South Korea. He has made significant contributions to the field of memory device training systems. With a total of 2 patents to his name, Han's work focuses on enhancing the performance of computing systems.

Latest Patents

Kideok Han's latest patents include a "Computing system performing duty cycle adjuster training and duty cycle adjuster training method thereof." This innovative training method adjusts the eye window of a data signal in response to a duty cycle adjuster (DCA). The method involves performing a first training operation that selects a DCA code corresponding to an internal clock signal with a phase difference of 180° relative to a reference clock signal. Additionally, a second training operation selects DCA codes corresponding to internal clock signals with phase differences of 90° and 270°. The eye window size of the data signal is measured in units of two and one unit intervals during these operations.

Another significant patent is the "Memory system performing hierarchical duty cycle adjuster training and duty cycle adjuster training method thereof." This method calculates scores for DCA code combinations based on the eye window size of a data signal. In cases of ties among scores, a DCA code combination is selected based on the minimum values of even and odd-eye window sizes.

Career Highlights

Kideok Han is currently employed at Samsung Electronics Ltd., where he continues to innovate in the field of memory technology. His work has contributed to advancements in computing systems, particularly in the area of duty cycle adjustment.

Collaborations

Han collaborates with talented coworkers, including Ki-Seok Park and Do-han Kim. Their combined expertise fosters a creative environment that drives innovation in their projects.

Conclusion

Kideok Han's contributions to memory device training systems exemplify his commitment to advancing technology. His patents reflect a deep understanding of computing systems and their optimization.