ScholarWorks@Gyeongsang National University: Ahn, Yong Tae

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Ahn, Yong Tae (안용태)

공과대학 (에너지공학과)

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Tel 0557723882
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Microbial electrolysis cell:6||미생물전기분해전지:6||anaerobic digestion:4||methane production:3||Sewage sludge:3||하수슬러지:3||microbial electrolysis cell:3||메탄생산:2||primary sewage sludge:2||바이오가스:2||Reverse osmosis concentrate:2||수소:2||심층학습:2||sewage sludge:2||Deep learning:2||Applied voltage:2||Isotherm:2||Kinetics:2||전극간 거리:2||Electrode Spacing:2||Bioelectrochemical:2||Methane yield:2||Domestic wastewater:1||Electroactive microorganisms:1||Electrode Configuration:1||Electrode Size:1||Electrode distance:1||Energy efficiency:1||Ensemble learning:1||Food waste:1||Granite Soil:1||Heavy metals:1||Hydrogen:1||Hydrogen gas production:1||Hydrogen producing granules:1||Hydrogen production:1||Hyperparameter tuning:1||Image analysis:1||Intermittent energy input:1||Internal Resistance:1||Iron(II) phthalocyanine:1||Long shortterm memory:1||MBR:1||MECAD coupled system:1||Machine learning:1||Membrane bioreactor:1||Mesoporous nitrogenrich carbon:1||Methane Production:1||Methane production:1||Microbial Electrolysis Cell:1||Microbial Fuel Cell (MFC):1||Microbial activity:1||Microbial electrochemical technology:1||Microbial electrolysis cell (MEC):1||Microbial fuel cell:1||Multilayer stacking:1||Organic Matter Reduction:1||Oxygen reduction reaction:1||Peat moss:1||Polarized electrode:1||Polyaniline:1||Pretreatment:1||RVC:1||Response surface methodology:1||Roundness:1||SBR:1||Sequencing batch reactor:1||Sewage Sludge:1||Sewage influent flowrate:1||Simulation:1||Slaughterhouse byproduct:1||Soil Microbial Fuel Cell:1||Specific denitrification rate:1||Specific nitrification rate:1||Substrate Decomposition:1||Substrate concentration:1||Sulfur denitrification:1||Swine waste:1||Temperature:1||Ultrasound pretreatment:1||Waste activated sludge:1||Wastewater treatment process":1||Water reuse:1||applied voltage:1||bioanode:1||bioelectrochemical:1||bioelectrochemical systems:1||bioelectrochemical technology:1||biogas production:1||cathode material:1||combined alkalineultrasound pretreatment:1||concentrate management:1||conductive material (CM):1||copper phthalocyanine:1||cyclic voltammetry:1||direct interspecies electron transfer:1||direct interspecies electron transfer (DIET):1||dissolved organic matter:1||electroactive bacteria:1||electrochemical impedance spectroscopy:1||electrostatic field:1||energy recovery:1||external voltage (EV):1||highstrength waste/wastewater:1||hydrogen:1||hydrolysis:1||insitu cultivation:1||methane gas:1||microbial adaptation:1||microbial community change:1||microbial fuel cell:1||mixing ratio:1||nitrogen removal:1||open circuit voltage:1||reference electrode placement:1||sequencing batch reactor:1||startup:1||uncompensated ohmic drop:1||고농도폐수/폐기물:1||기계학습:1||기질 농도:1||기질분해:1||다중 레이어 스태킹:1||도축부산물:1||동력학적 특성:1||등온흡착:1||메탄가스:1||미생물연료전지:1||생물전기화학:1||생물전기화학기술:1||앙상블 학습:1||에너지 효율:1||에너지회수율:1||유기물 감량:1||인가전압:1||장단기 메모리:1||전극 크기:1||전극구조:1||전산모사:1||전이학습:1||초기운전:1||초매개변수 조정:1||초음파 전처리:1||카드뮴:1||칼슘샌드:1||토양미생물연료전지:1||폐수처리공정:1||하수 슬러지:1||합성곱 신경망:1||혐기성소화:1||혼합비:1||"Transfer learning:1||화강풍화토:1||(DIET):1||A2O:1||Adsorption:1||Anaerobic digestion:1||Analysis of variance:1||Autotrophic denitrification:1||Bio gas:1||Biochar:1||Biological wastewater treatment:1||Bulk solution:1||Cadmium:1||Calcium Sand:1||Catalyst binder:1||Codigestion:1||Conductive material (CM):1||Convolutional neural network:1||Coulombic efficiency:1||Current density:1||DIET:1||Direct interspecies electron transfer:1||Direct interspecies electron transfer (DIET):1||

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