Search Results - "Hyundo Park"

Machine Learning Approach to Predict Physical Properties of Polypropylene Composites: Application of MLR, DNN, and Random Forest to Industrial Data by Joo, Chonghyo, Park, Hyundo, Kwon, Hyukwon, Lim, Jongkoo, Shin, Eunchul, Cho, Hyungtae, Kim, Junghwan

“…Manufacturing polypropylene (PP) composites to meet customers’ needs is difficult, time-consuming, and costly, owing to the ever-increasing diversity and…”
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A framework for energy optimization of distillation process using machine learning‐based predictive model by Park, Hyundo, Kwon, Hyukwon, Cho, Hyungtae, Kim, Junghwan

“…The distillation process is one of the most common and energy‐intensive processes in the chemical industry. Most chemical processes are nonlinear and complex,…”
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Packer Detection for Multi-Layer Executables Using Entropy Analysis by Bat-Erdene, Munkhbayar, Kim, Taebeom, Park, Hyundo, Lee, Heejo

“…Packing algorithms are broadly used to avoid anti-malware systems, and the proportion of packed malware has been growing rapidly. However, just a few studies…”
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Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms by Hu, Qiang, Kuai, Dacheng, Park, Hyundo, Clark, Haley, Balbuena, Perla B., Kwon, Joseph Sang‐Il, Wu, Hung‐Jen

“…Glycans are the most abundant fundamental biomolecules, but profiling glycans is challenging due to their structural complexity. To address this, a novel…”
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Design of Ventilation System to Prevent Epoxy Fume Release from Vacuum Pressure Impregnation by Yup Yoo, Jungyu Jang, Hyundo Park, Il Moon, Donghyun Kim, Baekgyu Lim, Hyungtae Cho, Junghwan Kim

“…In this study, a model for the exhaust of epoxy fumes generated by vacuum pressure impregnation (VPI) was developed using computational fluid dynamics (CFD),…”
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Is early warning of an imminent worm epidemic possible? by Park, Hyundo, Kim, Hyogon, Lee, Heejo

“…This article introduces a novel anomaly detection method that makes use of only matrix operations and is highly sensitive to randomness in traffic. The…”
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Detection of cache pollution attacks using randomness checks by Hyundo Park, Widjaja, I., Heejo Lee

“…The Internet plays an increasing role in content dissemination as user-generated contents have exploded recently. Cache servers have been deployed to bypass…”
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Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations by Joo, Chonghyo, Park, Hyundo, Lim, Jongkoo, Cho, Hyungtae, Kim, Junghwan

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Development of physical property prediction models for polypropylene composites with optimizing random forest hyperparameters by Joo, Chonghyo, Park, Hyundo, Lim, Jongkoo, Cho, Hyungtae, Kim, Junghwan

“…The physical properties required in polypropylene composites (PPCs) vary depending on the purpose of use. In the manufacturing of PPCs, it is crucial to…”
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Bridging the Gap between Data-Flow and Control-Flow Analysis for Anomaly Detection by Peng Li, Hyundo Park, Debin Gao, Jianming Fu

“…Host-based anomaly detectors monitor the control-flow and data-flow behavior of system calls to detect intrusions. Control-flow-based detectors monitor the…”
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Interpretable machine learning framework for catalyst performance prediction and validation with dry reforming of methane by Roh, Jiwon, Park, Hyundo, Kwon, Hyukwon, Joo, Chonghyo, Moon, Il, Cho, Hyungtae, Ro, Insoo, Kim, Junghwan

“…Conventional methods for developing heterogeneous catalysts are inefficient in time and cost, often relying on trial-and-error. The integration of…”
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Novel natural gradient boosting-based probabilistic prediction of physical properties for polypropylene-based composite data by Park, Hyundo, Joo, Chonghyo, Lim, Jongkoo, Kim, Junghwan

“…Accurately predicting the physical properties of polypropylene composites is challenging because they are highly complex due to the numerous combinations of…”
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Reinforcement learning-based optimal operation of ash deposit removal system to improve recycling efficiency of biomass for CO2 reduction by Lim, Jonghun, Cho, Hyungtae, Kwon, Hyukwon, Park, Hyundo, Kim, Junghwan

“…Black liquor from pulp mills is valuable biomass that can be recycled as a CO2-neutral, renewable fuel. However, biomass combustion produces significant ash…”
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Modeling and optimization of water mist system for effective air-cooled heat exchangers by Park, Hyundo, Roh, Jiwon, Oh, Kwang cheol, Cho, Hyungtae, Kim, Junghwan

“…•The CFD model was developed and validated with results of the experimental device.•We solved the low cooling performance of ACHEs and corrosion problem…”
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Cover: International Journal of Intelligent Systems, Volume 37 Issue 6 June 2022 by Joo, Chonghyo, Park, Hyundo, Lim, Jongkoo, Cho, Hyungtae, Kim, Junghwan

“…Cover Caption: The cover image is based on the Research Article Development of physical property prediction models for polypropylene composites with optimizing…”
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Optimal operating strategy of ash deposit removal system to maximize boiler efficiency using CFD and a thermal transfer efficiency model by Park, Hyundo, Lee, Jesung, Lim, Jonghun, Cho, Hyungtae, Kim, Junghwan

“…Ash deposits generated during the combustion process on the outer tube surface of a boiler reduces the boiler’s efficiency. In most boilers, ash deposits are…”
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Effects of rainfall infiltration and hysteresis on the settlement of shallow foundations in unsaturated soil by Jeong, Sangseom, Kim, Yongmin, Park, Hyundo, Kim, Jaehong

“…The effects of rainfall infiltration and hysteresis on the settlement of shallow foundations in unsaturated soil were numerically investigated. Numerical…”
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Modeling and optimization of water mist system for effective air-cooled heat exchangers by Park, Hyundo, Roh, Jiwon, Oh, Kwang Cheol, Cho, Hyungtae, Kim, Junghwan

“…Air-cooled heat exchangers (ACHEs) are one of the most efficient and widely used equipment for heat exchange. However, the main disadvantages of ACHEs are…”
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Entropy analysis to classify unknown packing algorithms for malware detection by Bat-Erdene, Munkhbayar, Park, Hyundo, Li, Hongzhe, Lee, Heejo, Choi, Mahn-Soo

“…The proportion of packed malware has been growing rapidly and now comprises more than 80 % of all existing malware. In this paper, we propose a method for…”
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Advancing Glycan Analysis: A New Platform Integrating SERS, Boronic Acids, and Machine Learning Algorithms (Adv. Sensor Res. 12/2023) by Hu, Qiang, Kuai, Dacheng, Park, Hyundo, Clark, Haley, Balbuena, Perla B., Kwon, Joseph Sang‐Il, Wu, Hung‐Jen

“…Advancing Glycan Analysis In article 2300052, Hu et al. reported a novel and low‐cost glycan analysis platform that integrates surface‐enhanced Raman…”
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