Hwaseong-si, South Korea

Kae Weon You

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2018-2025

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5 patents (USPTO):Explore Patents

Title: Kae Weon You: Innovator in Deep Learning and Battery Health Estimation

Introduction

Kae Weon You is a prominent inventor based in Hwaseong-si, South Korea. He has made significant contributions to the fields of deep learning and battery health estimation. With a total of 5 patents to his name, his work continues to influence technological advancements.

Latest Patents

One of Kae Weon You's latest patents is a deep learning device and system that includes an anomaly detection model. This innovative device is designed to determine whether a received image is abnormal. It merges vectors extracted from the anomaly detection model and inputs principal components generated by a principal component analysis (PCA) into a probability approximation model. This process helps detect out-of-distribution (OOD) occurrences in the data of the received image. The device also stores the results of these determinations and extracts data where OOD occurs for target labeling.

Another notable patent involves an apparatus and method for estimating the State of Health (SOH) of a battery. This apparatus includes a processor that divides sensed data of the battery into regions and estimates the SOH by applying different estimation models to these regions. This innovation is crucial for improving battery management systems.

Career Highlights

Kae Weon You is currently employed at Samsung Electronics Co., Ltd., where he continues to develop cutting-edge technologies. His work at Samsung has positioned him as a key player in the advancement of deep learning and battery technologies.

Collaborations

He has collaborated with notable coworkers, including Sang Do Park and Duk Jin Oh, contributing to various innovative projects within the company.

Conclusion

Kae Weon You's contributions to deep learning and battery health estimation exemplify his innovative spirit and dedication to advancing technology. His patents reflect a commitment to solving complex problems in these fields.

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