Chung-Chia Chang

Title: Innovations of Chung-Chia Chang: Pioneering Data Compression

Introduction

Chung-Chia Chang, a talented inventor based in San Jose, CA, has made significant contributions to the field of data compression with her innovative approaches. With a remarkable portfolio of two patents, she exemplifies the blend of technical expertise and practical application necessary to advance the industry.

Latest Patents

Chung-Chia Chang's latest patent is a remarkable system for adaptively building a static Ziv-Lempel dictionary. This innovative method focuses on creating a static data compression dictionary tailored for a hardware-based data compression architecture. A key feature of this system is that no data compression occurs during the dictionary construction phase. Instead, a fixed-size Ziv-Lempel parse-tree is adapted according to database characteristics using one of two methods.

The first method involves significantly overbuilding the parse-tree before pruning it back to a static size by eliminating the least recently used (LRU) nodes with the lowest use count. Alternatively, the second method consists of initially building the parse-tree to a static size and subsequently replacing selected nodes with new ones based on database sampling. Within this process, the least-useful nodes are specifically chosen for replacement according to a use count and LRU strategy while exhausting the database sample. The final outcome includes a pruned Ziv-Lempel parse-tree that transforms into a static dictionary configuration, which is stored in memory for a hardware-based database compression process. This efficient construction eliminates the initial compression inefficiencies commonly associated with the Ziv-Lempel procedure, with enhancements made by initializing the tree with NULL and DEFAULT sequences from database definitions prior to examining any data.

Career Highlights

Chung-Chia Chang's career has been distinguished by her role at the International Business Machines Corporation, commonly known as IBM. Despite the corporate landscape's rigorous demands, her creativity and technical knowledge have fueled her advancement in the field of data compression technologies.

Collaborations

Chung-Chia has collaborated with esteemed colleagues, including Gregory L Davoll and Mohamed H El-Ruby. These partnerships demonstrate the importance of collective innovation in achieving technological breakthroughs and enhancing the capabilities of data systems.

Conclusion

Chung-Chia Chang continues to contribute to the advancement of data compression technologies through her inventive methods and systems. Her proven track record of patents and collaborations highlights her dedication to innovation within the tech industry. The influence of her work will undoubtedly shape the future of data processing and compression, serving as inspiration for aspiring inventors and technologists alike.