Search Results - "Nam, Kijeon"

Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation by Loy-Benitez, Jorge, Li, Qian, Nam, KiJeon, Yoo, ChangKyoo

“…•An AE sensor self-validation method for IAQ sensors in subway stations was proposed.•The influence of faulty and reconstructed IAQ over the health risk was…”
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A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea by Nam, KiJeon, Hwangbo, Soonho, Yoo, ChangKyoo

“…Renewable and sustainable energy systems and policies have globally been promoted to transition from fossil fuel sources to environmentally friendly renewable…”
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Data-Driven Hybrid Model for Forecasting Wastewater Influent Loads Based on Multimodal and Ensemble Deep Learning by Heo, SungKu, Nam, KiJeon, Loy-Benitez, Jorge, Yoo, ChangKyoo

“…With the advent of the Industry 4.0 and the introduction of smart technologies in wastewater treatment plants (WWTP); forecasting influent loads is essential…”
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Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks by Li, Qian, Loy-Benitez, Jorge, Nam, KiJeon, Hwangbo, Soonho, Rashidi, Jouan, Yoo, ChangKyoo

“…Renewable energy systems coupled with reverse osmosis (RO) desalination represent a great contribution to the fields of energy and sustainability. Especially…”
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Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving by Ba-Alawi, Abdulrahman H., Nam, KiJeon, Heo, SungKu, Woo, TaeYong, Aamer, Hanaa, Yoo, ChangKyoo

“…[Display omitted] •XAI analysis clearly interpreted the most influencing variables on membrane fouling.•The MSF-ARI showed superior imputation and…”
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Enhanced removal of malachite green from wastewater using nonthermal plasma gliding arc discharge combined with ferrate oxidation by Ouzar, Amina, Goutomo, Bimo Tri, Nam, KiJeon, Kim, Il-Kyu

“…The rapid and complete removal of Malachite Green (MG) dye was effectively achieved by combining potassium ferrate (Fe(VI)) treatment with nonthermal plasma…”
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Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms by Hwangbo, Soonho, Nam, KiJeon, Heo, SungKu, Yoo, ChangKyoo

“…[Display omitted] •A mathematical model of a self-sustaining energy system is designed.•Renewable forecasting models are developed by a hybrid EMD-DL…”
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A dynamic gain-scheduled ventilation control system for a subway station based on outdoor air quality conditions by Loy-Benitez, Jorge, Li, Qian, Ifaei, Pouya, Nam, Kijeon, Heo, SungKu, Yoo, Changkyoo

“…Within subway stations, the use of a mechanical ventilation system is a common strategy for improving the indoor air quality (IAQ). These ventilation systems…”
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A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station by Heo, SungKu, Nam, KiJeon, Loy-Benitez, Jorge, Li, Qian, Lee, SeungChul, Yoo, ChangKyoo

“…•DRL was used to design an autonomous ventilation control system for a subway station.•A DQN algorithm was used to train an agent to regulate IAQ in a subway…”
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Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities by Tariq, Shahzeb, Loy-Benitez, Jorge, Nam, KiJeon, Lee, Gahye, Kim, MinJeong, Park, DuckShin, Yoo, ChangKyoo

“…Particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) has become a major public concern in closed indoor environments, such as subway stations…”
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XRL-FlexSBR: Multi-agent reinforcement learning-driven flexible SBR control with explainable performance guarantee under diverse influent conditions by Heo, SungKu, Nam, KiJeon, Kim, SangYoun, Yoo, ChangKyoo

“…The sequencing batch reactor (SBR) process stands out for its small footprint and operational flexibility. However, the SBR process is highly nonlinear and…”
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Digitally-transformed early-warning protocol for membrane cleaning based on a fouling-cumulative sum chart: Application to a full-scale MBR plant by Heo, SungKu, Nam, KiJeon, Woo, TaeYong, Yoo, ChangKyoo

“…In the water industry, a state-of-the-art membrane bioreactor (MBR) requires relatively high operation expenditures due to foulants continually accumulating…”
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Three energy self-sufficient networks of wastewater treatment plants developed by nonlinear bi-level optimization models in Jeju Island by Woo, Taeyong, Tayerani Charmchi, Amir Saman, Ifaei, Pouya, Heo, SungKu, Nam, KiJeon, Yoo, ChangKyoo

“…Classical consumer communities are gradually turning to energy prosumers who employ innovative and self-sufficient systems. Despite the importance of…”
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Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach by Tariq, Shahzeb, Loy-Benitez, Jorge, Nam, KiJeon, Kim, SangYoun, Kim, MinJeong, Yoo, ChangKyoo

“…[Display omitted] •An AI soft sensor was developed for PM2.5 health risk predictions at metro stations.•Indoor similarity function helps for proper…”
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Dynamic calibration of process-wide partial-nitritation modeling with airlift granular for nitrogen removal in a full-scale wastewater treatment plant by Vilela, Paulina, Safder, Usman, Heo, SungKu, Nguyen, Hai-Tra, Lim, Juin Yau, Nam, KiJeon, Oh, Tae-Seok, Yoo, ChangKyoo

“…A main challenge in rapid nitrogen removal from rejected water in wastewater treatment plants (WWTPs) is growth of biomass by nitrite-oxidizing bacteria (NOB)…”
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Neural circuit policies-based temporal flexible soft-sensor modeling of subway PM2.5 with applications on indoor air quality management by Loy-Benitez, Jorge, Tariq, Shahzeb, Nguyen, Hai Tra, Safder, Usman, Nam, KiJeon, Yoo, ChangKyoo

“…This study developed a data-based soft-sensor to predict indoor PM2.5 from easy-to-measure outdoor and indoor air variables. The method consists of neural…”
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Dual-objective optimization for energy-saving and fouling mitigation in MBR plants using AI-based influent prediction and an integrated biological-physical model by Nam, KiJeon, Heo, SungKu, Rhee, GaHee, Kim, MinJeong, Yoo, ChangKyoo

“…Optimal operational strategies for wastewater treatment plants have been employed widely to improve the economic and environmental operations. However,…”
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A hybrid machine learning–based multi-objective supervisory control strategy of a full-scale wastewater treatment for cost-effective and sustainable operation under varying influent conditions by Heo, SungKu, Nam, KiJeon, Tariq, Shahzeb, Lim, Juin Yau, Park, Junkyu, Yoo, ChangKyoo

“…This study develops a multi-objective supervisory control (MOSC) strategy for wastewater treatment based on hybrid machine-learning algorithms that search…”
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Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief network by Safder, Usman, Nam, KiJeon, Kim, Dongwoo, Shahlaei, Mohsen, Yoo, ChangKyoo

“…Octanol/water partition coefficient (log P), octanol/air partition coefficient (log KOA) and bioconcentration factor (log BCF) are important physiochemical…”
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Multiple land-use fugacity model to assess the transport and fate of polycyclic aromatic hydrocarbons in urban and suburban areas by Li, Qian, Vilela, Paulina, Tariq, Shahzeb, Nam, KiJeon, Yoo, ChangKyoo

“…Soil types and land cover can significantly affect the polycyclic aromatic hydrocarbons (PAHs) environmental fate in soil compartments. Hence, estimation of…”
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