Seoul, South Korea

Youngsong Cho


Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2010-2019

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5 patents (USPTO):Explore Patents

Title: Youngsong Cho - Innovator in Facility Abnormality Prediction

Introduction

Youngsong Cho is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of technology, particularly in the development of systems for predicting facility abnormalities. With a total of 5 patents to his name, Cho's work is recognized for its innovative approach to enhancing operational efficiency.

Latest Patents

Among his latest patents is a system and method for generating a facility abnormality prediction model. This invention includes a data receiver that collects sensor data from a facility during its operation. It features an abnormality notification time predictor that detects malfunction times and determines when to notify operators of potential issues. Additionally, the system employs an optimal sensor combination calculator that utilizes a genetic algorithm to identify the best combination of sensor data for predicting malfunctions. Another notable patent is the beta-shape, which provides a compact structure for topology among spheres defining a blending surface of a sphere set. This invention includes methods for constructing the beta-shape and recognizing pockets from it.

Career Highlights

Youngsong Cho has worked with notable organizations, including the Industry-University Cooperation Foundation at Hanyang University and Hanwha Precision Machinery Co., Ltd. His experience in these institutions has allowed him to collaborate on various innovative projects that bridge academia and industry.

Collaborations

Some of his coworkers include Deok-Soo Kim and Donguk Kim, who have contributed to his research and development efforts. Their collaboration has further enhanced the impact of Cho's inventions in the field.

Conclusion

Youngsong Cho's innovative work in facility abnormality prediction and topology has established him as a key figure in technological advancements. His contributions continue to influence the industry and improve operational efficiencies in various applications.

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