This inventor holds 2 USPTO granted patents and 8 published patent applications. Top assignee: Institute for Information Industry. Active years: 2018-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018-2020
Title: Innovations by Ying-Hsun Lai
Introduction
Ying-Hsun Lai is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of data processing and textile machinery through his innovative patents. With a total of 2 patents, his work reflects a commitment to advancing technology in the Internet of Things (IoT) and textile manufacturing.
Latest Patents
Ying-Hsun Lai's latest patents include a data processing apparatus and method specifically designed for IoT systems. This invention generates diagnosis rule data, diagnoses device data from IoT apparatuses, and packages the data into files stored in an interplanetary file system, with hash values stored in a blockchain system. Another significant patent is a textile machine adjustment method that optimizes the operating speed of textile machines based on fabric characteristics and yarn vibration analysis. This method ensures quality production by adjusting operating speeds according to yield quality.
Career Highlights
Ying-Hsun Lai is associated with the Institute for Information Industry, where he applies his expertise in data processing and textile technology. His innovative approaches have positioned him as a key figure in his field, contributing to advancements that enhance efficiency and quality in manufacturing processes.
Collaborations
Ying-Hsun Lai has collaborated with notable colleagues, including Yu-Cheng Hsiao and Chin-Feng Lai. Their combined efforts in research and development have led to significant advancements in their respective areas of expertise.
Conclusion
Ying-Hsun Lai's contributions to technology through his patents demonstrate his innovative spirit and dedication to improving industrial processes. His work continues to influence the fields of data processing and textile manufacturing, showcasing the importance of innovation in driving progress.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
