This inventor holds 2 USPTO granted patents. Top assignee: Via Technologies, Inc.. Active years: 2008.
Location History:
- Hsin-Tien, TW (2008)
- Taipei, TW (2008)
Company Filing History:
Years Active: 2008
Title: Innovations of Tung-Chih Kuo
Introduction
Tung-Chih Kuo is a notable inventor based in Xindian, Taiwan. He has made significant contributions to the field of technology, particularly in data error detection and storage performance. With a total of 2 patents, Kuo's work has had a meaningful impact on improving data management systems.
Latest Patents
Kuo's latest patents include a method for detecting code errors and a data arranging method in storage devices. The first patent proposes a method for detecting whether a code error exists in accessed data. This method generates an error comparison code and checks for carrying operations to determine if there is an error bit present. This innovative approach allows for rapid detection of code errors while minimizing the components required for detection.
The second patent focuses on a data arranging method for flash memory aimed at enhancing access performance. This method involves storing data sectors and their corresponding correction sets in a contiguous manner within the flash memory. By optimizing the arrangement of data, Kuo's method improves the efficiency of data access, which is crucial for modern computing applications.
Career Highlights
Tung-Chih Kuo is currently employed at Via Technologies, Inc., where he continues to develop innovative solutions in technology. His work has been instrumental in advancing the capabilities of data storage and error detection systems.
Collaborations
Kuo has collaborated with talented individuals such as Chin-Yi Chiang and Chun-Hua Tseng. These partnerships have fostered a creative environment that encourages the development of groundbreaking technologies.
Conclusion
Tung-Chih Kuo's contributions to the field of technology through his patents demonstrate his commitment to innovation and excellence. His work not only addresses current challenges in data management but also paves the way for future advancements in the industry.