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Byung-Moon Jun, Yejin Kim, Jonghun Han, Yeomin Yoon, Jeonggwan Kim and Chang Min Park
For this study, we applied activated biochar (AB) and its composition with magnetite (AB-Fe3O4) as adsorbents for the removal of polychlorophenols in model wastewater. We comprehensively characterized these adsorbents and performed adsorption tests under...
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Wonjae Yoon, Vikas Khandu Bhosale and Hosung Yoon
The development of propulsion systems based on green propellants, as an alternative to hydrazines, has been gaining interest within the space community. The study of Ammonium Dinitramide (ADN)-based liquid monopropellant, which is low-toxic and can deliv...
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Youngkwang Kim, Woochan Kim, Jungwoo Yoon, Sangkug Chung and Daegeun Kim
This paper presents a practical contamination detection system for camera lenses using image analysis with deep learning. The proposed system can detect contamination in camera digital images through contamination learning utilizing deep learning, and it...
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Jungho Lee, Ingyu Lee, Seongphil Woo, Yeoungmin Han and Youngbin Yoon
The spray and combustion characteristics of a gas-centered swirl coaxial (GCSC) injector used in oxidizer-rich staged combustion cycle engines were analyzed. The study focused on varying the recess ratio, presence of gas swirl, and swirl direction to imp...
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Jiwun Yoon, Sang-Yong Lee and Ji-Yong Lee
Humans share a similar body structure, but each individual possesses unique characteristics, which we define as one?s body type. Various classification methods have been devised to understand and assess these body types. Recent research has applied artif...
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Sung-Yoon Ahn, Mira Kim, Hye-Won Jeong, Wonsuck Yoon, Iel-Soo Bang and Sang-Woong Lee
Technological advancements have shifted human living and working environments from outdoor to indoor. Although indoor spaces offer protection from unfavorable weather conditions, they also present new health challenges. Stale, humid, and warm indoor air ...
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Su Young Kim and Yoon Sang Kim
Multiple markers are generally used in augmented reality (AR) applications that require accurate registration, such as medical and industrial fields. In AR using these markers, there are two inevitable problems: (1) geometric shape discrepancies between ...
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Chuanxiang Song, Seong-Yoon Shin and Kwang-Seong Shin
This study introduces a novel approach named the Dynamic Feedback-Driven Learning Optimization Framework (DFDLOF), aimed at personalizing educational pathways through machine learning technology. Our findings reveal that this framework significantly enha...
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Moon-Il Joo, Dong-Yoon Kang, Min-Soo Kang and Hee-Cheol Kim
Edge computing can provide core functions such as data collection and analysis without connecting to a centralized server. The convergence of edge computing and IoT devices has enabled medical institutions to collect patient data in real time, improving ...
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Cheolho Yoon
The study aims to enhance the sustainability of non-profit organizations by analyzing factors contributing to the adoption of digital marketing by non-profit organizations. For this purpose, this study presented a research model on digital marketing adop...
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