Výsledky vyhledávání - "Kyoungdoug Min"

Akademický článek

Task Transfer Learning for Prediction of Transient Nitrogen Oxides, Soot, and Total Hydrocarbon Emissions of a Diesel Engine

Autor: Seunghyup Shin, Minjae Kim, Jihwan Park, Sangyul Lee, Kyoungdoug Min

Publikováno v: IEEE Access, Vol 11, Pp 72462-72476 (2023)

According to previous studies on internal combustion engine applications using deep learning, deep learning model should be individually optimized and trained to predict different phenomena. This study introduces task transfer learning to predict tra

Externí odkaz: https://doaj.org/article/c76724ed00eb476faac9cad2e3432b2e

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Akademický článek

Resistance Separation of Polymer Electrolyte Membrane Fuel Cell by Polarization Curve and Electrochemical Impedance Spectroscopy

Autor: Jaehyeon Choi, Jaebong Sim, Hwanyeong Oh, Kyoungdoug Min

Publikováno v: Energies, Vol 14, Iss 5, p 1491 (2021)

The separation of resistances during their measurement is important because it helps to identify contributors in polymer electrolyte membrane (PEM) fuel cell performance. The major methodologies for separating the resistances are electrochemical impe

Externí odkaz: https://doaj.org/article/94b8f9e7db794d99bb1a326de8615dc4

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Akademický článek

Prediction Modeling and Analysis of Knocking Combustion using an Improved 0D RGF Model and Supervised Deep Learning

Autor: Seokwon Cho, Jihwan Park, Chiheon Song, Sechul Oh, Sangyul Lee, Minjae Kim, Kyoungdoug Min

Publikováno v: Energies, Vol 12, Iss 5, p 844 (2019)

The knock phenomenon is one of the major hindrances for enhancing the thermal efficiency in spark-ignited engines. Due to the stochastic behavior of knocking combustion, analytical cycle studies are required. However, there are many problems to be ad

Externí odkaz: https://doaj.org/article/d5d85e185ccf4d1789a5a8581b1be4c0

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Akademický článek

Numerical Analysis of the Combustion and Emission Characteristics of Diesel Engines with Multiple Injection Strategies Using a Modified 2-D Flamelet Model

Autor: Gyujin Kim, Sunyoung Moon, Seungha Lee, Kyoungdoug Min

Publikováno v: Energies, Vol 10, Iss 9, p 1292 (2017)

The multiple injection strategy has been widely used in diesel engines to reduce engine noise, NOx and soot formation. Fuel injection developments such as the common-rail and piezo-actuator system provide more precise control of the injection quantit

Externí odkaz: https://doaj.org/article/0ac5ecaa49f746ffac0f82f457e52622

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Akademický článek

Development of a Real-Time Virtual Nitric Oxide Sensor for Light-Duty Diesel Engines

Autor: Seungha Lee, Youngbok Lee, Gyujin Kim, Kyoungdoug Min

Publikováno v: Energies, Vol 10, Iss 3, p 284 (2017)

This study describes the development of a semi-physical, real-time nitric oxide (NO) prediction model that is capable of cycle-by-cycle prediction in a light-duty diesel engine. The model utilizes the measured in-cylinder pressure and information obt

Externí odkaz: https://doaj.org/article/77e89416d74b439fb191385095f94afe

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