Výsledky vyhledávání - "Younjeong Lee"

Akademický článek

Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting

Autor: Yeeun Moon, Younjeong Lee, Yejin Hwang, Jongpil Jeong

Publikováno v: Energies, Vol 17, Iss 15, p 3666 (2024)

Electricity consumption prediction is crucial for the operation, strategic planning, and maintenance of power grid infrastructure. The effective management of power systems depends on accurately predicting electricity usage patterns and intensity. Th

Externí odkaz: https://doaj.org/article/d486e85efcea494e806e28d271b9f0d8

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Akademický článek

LSTM-Autoencoder Based Anomaly Detection Using Vibration Data of Wind Turbines

Autor: Younjeong Lee, Chanho Park, Namji Kim, Jisu Ahn, Jongpil Jeong

Publikováno v: Sensors, Vol 24, Iss 9, p 2833 (2024)

The problem of energy depletion has brought wind energy under consideration to replace oil- or chemical-based energy. However, the breakdown of wind turbines is a major concern. Accordingly, unsupervised learning was performed using the vibration sig

Externí odkaz: https://doaj.org/article/821e8da383384f8b889b5908c4b38480

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Akademický článek

Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes

Autor: Jisu Ahn, Younjeong Lee, Namji Kim, Chanho Park, Jongpil Jeong

Publikováno v: Sensors, Vol 23, Iss 17, p 7331 (2023)

In the manufacturing process, equipment failure is directly related to productivity, so predictive maintenance plays a very important role. Industrial parks are distributed, and data heterogeneity exists among heterogeneous equipment, which makes pre

Externí odkaz: https://doaj.org/article/a2addc84aa864af480c766039a8ec2e4

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Akademický článek

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Preliminary study of region-of-interest image reconstruction with intensity weighting in cone-beam CT using iterative algorithm

Autor: Jin Sung Kim, Jiseoc Lee, Kihong Son, Seungryong Cho, Younjeong Lee

Publikováno v: SPIE Proceedings.

In computed tomography (CT) imaging, radiat ion dose delivered to the patient is one of the major concerns. Many CT developers and researchers have been making efforts to reduce radiat ion dose. Spars e-view CT takes project ions at sparser view-angl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83d93b38a079a7bc7ed34393b326d5d8
https://doi.org/10.1117/12.2043457

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Preliminary study of intensity weighted region-of-interesting image reconstruction using iterative algorithm

Autor: Kihong Son, Jin Sung Kim, Younjeong Lee, Jiseoc Lee, Seungryong Cho

Publikováno v: 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC).

Sparse-view CT inspired by a compressive sensing (CS) theory, which acquires sparsely sampled data in projection angles to reconstruct volumetric images of the scanned object, is under active research for low-dose imaging. Also, region of interest (R

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4964289760168ae872ed78170c4e128
https://doi.org/10.1109/nssmic.2013.6829307

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Robust speech enhancement using multi H//sub∞/ filters

Autor: Younjeong Lee, Jae Yeol Rheem, Ki Yong Lee

Publikováno v: Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004..

Since the speech enhancement algorithm based on a Kalman/Wiener filter requires a priori knowledge of the noise statistics and is focused on the minimization of the variance of the estimation error of the speech signal, a small estimation error on th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::280b12e358287545f266d1bda5e023e6
https://doi.org/10.1109/ispacs.2004.1439038

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Robust Speaker Identification Based on t-Distribution Mixture Model

Autor: Younjeong Lee, Youngjoon Han, Joohun Lee, Hernsoo Hahn

Publikováno v: AI 2005: Advances in Artificial Intelligence ISBN: 9783540304623
Australian Conference on Artificial Intelligence

To minimize the outliers’ effects, in this paper, a new speaker identification scheme based on the t-distribution mixture model is proposed. Since the t-distribution provides a longer and heavier tailed alternative to the Gaussian distribution, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7db8f0daf0975e4516b6acd86e2c617c
https://doi.org/10.1007/11589990_105

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Speaker Identification Based on Subtractive Clustering Algorithm with Estimating Number of Clusters

Autor: Ki Yong Lee, Younjeong Lee, JaeYeol Rheem

Publikováno v: Text, Speech and Dialogue ISBN: 9783540287896
TSD

In this paper, we propose a new clustering algorithm that performs clustering the feature vectors for the speaker identification. Unlike typical clustering approaches, the proposed method does the clustering without the initial guesses of locations o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70b02c10e7edc088cd767a96e6960799
https://doi.org/10.1007/11551874_32

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