Výsledky vyhledávání - "Jae-Jin Jeong"

Akademický článek

Sensor Data Prediction in Missile Flight Tests

Autor: Sang-Gyu Ryu, Jae Jin Jeong, David Hyunchul Shim

Publikováno v: Sensors, Vol 22, Iss 23, p 9410 (2022)

Sensor data from missile flights are highly valuable, as a test requires considerable resources, but some sensors may be detached or fail to collect data. Remotely acquired missile sensor data are incomplete, and the correlations between the missile

Externí odkaz: https://doaj.org/article/e5bc2284c5ff43b89a0f1465e3a36a6d

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Akademický článek

Comparison of Selection Criteria for Model Selection of Support Vector Machine on Physiological Data with Inter-Subject Variance

Autor: Minho Choi, Jae Jin Jeong

Publikováno v: Applied Sciences, Vol 12, Iss 3, p 1749 (2022)

Support vector machines (SVMs) utilize hyper-parameters for classification. Model selection (MS) is an essential step in the construction of the SVM classifier as it involves the identification of the appropriate parameters. Several selection criteri

Externí odkaz: https://doaj.org/article/8ba210eee83943378b44be839d1c12d5

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Detection Algorithm of Road Damage and Obstacle Based on Joint Deep Learning for Driving Safety

Autor: Seungbo Shim, Jae-Jin Jeong

Publikováno v: The Journal of The Korea Institute of Intelligent Transport Systems. 20:95-111

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34b4b0de7c970071bd0db07b8a883085
https://doi.org/10.12815/kits.2021.20.2.95

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Akademický článek

Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model

Autor: Sang Woo Kim, Jae Jin Jeong, Taedong Goh, Daehyun Kim, Keunhwi Koo

Publikováno v: Energies, Vol 6, Iss 10, Pp 5538-5551 (2013)

A second-order discrete-time sliding mode observer (DSMO)-based method is proposed to estimate the state of charge (SOC) of a Li-ion battery. Unlike the first-order sliding mode approach, the proposed method eliminates the chattering phenomenon in SO

Externí odkaz: https://doaj.org/article/5f20af84828d41bbaa6b66d0330a124a

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A Robust Affine Projection Algorithm Against Impulsive Noise

Autor: Jae Jin Jeong

Publikováno v: IEEE Signal Processing Letters. 27:1530-1534

This letter proposes a prefiltered observation-based affine projection algorithm (APA) to achieve robustness against outliers. The conventional robust algorithm for correlated input signal, which is called the affine projection sign algorithm (APSA),

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a366df62b31f1f0c07ad5616532712ee
https://doi.org/10.1109/lsp.2020.3018652

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Robust Adaptive Filter Algorithms Against Impulsive Noise

Autor: Jae Jin Jeong, Seung Hun Kim

Publikováno v: Circuits, Systems, and Signal Processing. 38:5651-5664

This paper proposes a prefiltered observation-based adaptive filter algorithm that is robust against impulsive noise. Previous impulsive noise rejection algorithms were based on output error stochastic, so there was a trade-off relationship between i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d604a2f672b4613d625034bfffbe23d7
https://doi.org/10.1007/s00034-019-01135-9

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Akademický článek

Reduction of Motion Artifacts and Improvement of R Peak Detecting Accuracy Using Adjacent Non-Intrusive ECG Sensors

Autor: Minho Choi, Jae Jin Jeong, Seung Hun Kim, Sang Woo Kim

Publikováno v: Sensors, Vol 16, Iss 5, p 715 (2016)

Non-intrusive electrocardiogram (ECG) monitoring has many advantages: easy to measure and apply in daily life. However, motion noise in the measured signal is the major problem of non-intrusive measurement. This paper proposes a method to reduce the

Externí odkaz: https://doaj.org/article/c8093e7a1d774edeb2e0ecea31ebe6fe

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An adjusting-block based convex combination algorithm for identifying block-sparse system

Autor: Seung Hun Kim, Jae Jin Jeong, Sang Woo Kim, Gyogwon Koo

Publikováno v: Signal Processing. 143:1-6

This paper is the first approach combining the BP-NLMS and the BZA-NLMS.We propose a block activeness indicator for block wise convex combination.We propose a block adjustment algorithm to overcome disadvantage of previous works.Proposed algorithm co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c602192d143935e964a9b053bc2aab0c
https://doi.org/10.1016/j.sigpro.2017.08.014

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Robust convex combination of affine projection-type algorithms using an impulsive noise indicator

Autor: Gyogwon Koo, Seung Hun Kim, Jae Jin Jeong, Sang Woo Kim

Publikováno v: Signal Processing. 129:33-37

A novel adaptive filter combining the affine projection algorithm (APA) and the affine projection sign algorithm (APSA) is proposed using an impulsive noise indicator. This indicator is proposed to use the APA as the component filter in impulsive noi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::777ad051e1837cc4a85dbd5505ad4840
https://doi.org/10.1016/j.sigpro.2016.05.034

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