Jun-Gi Lee

According to our database, Jun-Gi Lee authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Fully Integrated, Domino-Like-Buffered LDO Regulator With High Power-Supply Rejection Across the Full Frequency Spectrum.

Jun-Gi Lee, Hyun-Sik Kim

IEEE J. Solid State Circuits, December, 2024

28.1 A Fully Integrated, Domino-Like-Buffered Analog LDO Achieving -28dB Worst-Case Power-Supply Rejection Across the Frequency Spectrum from 10Hz to 1GHz with 50pF On-Chip Capacitance.

Jun-Gi Lee, Hong-Hyun Bae, Seunghyun Jang, Hyun-Sik Kim

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

An Output-Capacitor-Free Adaptive-Frequency Digital LDO with a 420-mA Load Current and a Fast Settling Time.

Dong-Jick Min, Jun-Gi Lee, Kunhee Cho, Jae Hoon Shim

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

A Study of Prediction Methods for lithium-ion Battery Capacity.

Hyun Yong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

An Empirical Study of Remaining Useful Life Prediction using Deep Learning Models.

Hyunyong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Towards Uncertainty-aware Remaining Useful Life Prediction via Domain Adaptation.

Hyunyong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

2021

Patch-Level Operation With Adaptive Patch Control for Improving Anomaly Localization.

Hyunyong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

IEEE Access, 2021

A Study on Online ARIMA Algorithms applying various gradient descent optimization algorithms for Time Series Prediction.

Jun-Gi Lee, HyunYong Lee, Nac-Woo Kim, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Error Distribution-based Anomaly Score for Forecasting-based Anomaly Detection of PV Systems.

HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Performance-related Internal Clustering Validation Index for Clustering-based Anomaly Detection.

HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

An Approach for Utilizing Correlation among Sensors for Unsupervised Anomaly Detection of Wind Turbine System.

HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Sound-based anomaly detection using a locally constrained capsule network.

Nac-Woo Kim, HyunYong Lee, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Transformer based prediction method for solar power generation data.

Nac-Woo Kim, HyunYong Lee, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020

Machine Learning-based Analysis of correlation between Energy Consumption data of the Company and its Sales.

Jun-Gi Lee, Nac-Woo Kim, HyunYong Lee, Sangjun Park, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

A Study on Distance Measure for Effective Anomaly Detection using AutoEncoder.

HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Kalman Filter-based Adaptive Forecasting of PV Power Output.

HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

Acoustic Feature based Abnormal Diagnosis Techniques with Capsule Networks.

Nac-Woo Kim, HyunYong Lee, Sangjun Park, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

2019

Uncertainty-aware Deep Learning Forecast using Dropout-based Ensemble Method.

HyunYong Lee, Nac-Woo Kim, Jun-Gi Lee, Byung-Tak Lee

Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019