Company Filing History:
Years Active: 2016-2017
Title: Innovations of Chao-Kuei Chung
Introduction
Chao-Kuei Chung is a notable inventor based in Taichung, Taiwan. He has made significant contributions to the field of memory technology, holding a total of 3 patents. His work focuses on enhancing data write operations in memory systems.
Latest Patents
Chung's latest patents include a memory write tracking device and method. This device is designed to improve data write operations to memory cell rows. It features a dummy cell row, a variation sensor, a judging device, and a word-line pulse generator. The dummy cell row simulates data write operations, while the variation sensor monitors circuit parameters for write ability. The judging device determines a threshold number based on changes in these parameters and sends an enabling signal when a sufficient number of dummy memory cells are successfully written. The word-line pulse generator then manages the write cycle in response to this signal.
Another significant patent is a pulse width modulation device intended for use in N-ports random access memory. This device includes a status detecting device and a clock signal generator. The status detecting device monitors the voltage values of the port word lines and outputs a control signal when both are within a specified range. The clock signal generator then produces a clock signal with a variable duration based on this control signal.
Career Highlights
Chao-Kuei Chung has worked with several prominent companies, including M31 Technology Corporation and Faraday Technology Corporation. His experience in these organizations has allowed him to develop and refine his innovative technologies.
Collaborations
Chung has collaborated with notable colleagues, including Nan-Chun Lien and Ching-Te Chuang, who have contributed to his projects and innovations.
Conclusion
Chao-Kuei Chung's contributions to memory technology through his patents and collaborations highlight his role as a significant inventor in the field. His innovative approaches continue to influence advancements in data write operations.