ScholarWorks@Dongguk University: Kim, Heung soo

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Kim, Heung soo (김흥수)

College of Engineering (Department of Mechanical, Robotics and Energy Engineering)

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Tel 02-2260-8577
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Supercapacitor:15||deep learning:13||Delamination:10||transfer learning:9||Composite:8||delamination:8||machine learning:7||Cellulose:7||finite element analysis:7||Cyclic stability:7||structural health monitoring:6||Laminated composites:6||Stress function:6||Deep learning:6||improved layerwise theory:5||fault detection:5||Composite laminate:5||Transfer learning:4||MnO2:4||Structural health monitoring:4||Vibration:4||supercapacitor:4||Ndoped MWCNT:4||fault diagnosis:4||structural vibration:4||Damage detection:4||laminated composites:4||Electroactive paper:4||Artificial intelligence:4||Energy harvesting:3||piezoelectric actuator:3||Transient:3||Prognostics and health management:3||prognostic health management:3||electroactive paper:3||prognostics and health management (PHM):3||energy harvesting:3||Nanocomposite:3||Gaussian process regression:3||smart composite laminate:3||smart composite laminates:3||Actuator:3||Actuator debonding:3||Sensor:3||Cobalt oxides:3||frequency response:3||Fault detection:3||Smart factory:3||artificial intelligence:3||Optimal sensor placement:3||vibration:3||large deformation:3||cellulose:3||Hydrothermal process:3||Electrochemical properties:3||composite laminates:3||System identification:3||damage detection:3||GoogleNet:2||Latin hypercube sampling:2||Ultrasonication:2||유한요소해석:2||copper clip bonding:2||Nickel oxide:2||Composites:2||Convolutional neural network:2||Lamb wave:2||free edge:2||prognostics and health management:2||Graphene oxide (NGO):2||Bearing fault:2||Delamination detection:2||active control:2||Graphitic carbon:2||Prognostics and health management (PHM):2||SiO2:2||Failure modes:2||Nondestructive testing:2||Active control:2||damage assessment:2||Artificial Intelligence:2||Smart composite laminate:2||Transducer:2||hybrid composites:2||thermal power plant:2||Hybrid composite:2||적층 복합재:2||Total knee arthroplasty:2||imageless navigator:2||Multifidelity surrogate model:2||total knee arthroplasty:2||optimal sensor selection:2||Smart materials:2||Composite laminates:2||industrial robots:2||damage localization:2||turbine:2||autonomous feature extraction:2||autonomous features:2||Magnetic fluid hyperthermia:2||bearing fault:2||data augmentation:2||piezoelectric sensor:2||Magnetic properties:2||Specific loss power:2||Timedependent:2||data imbalance:2||leakage detection:2||piezoelectric:2||Data augmentation:2||Composite Structure:2||Principal component analysis:2||층간 분리:2||datadriven approaches:2||Free edge stress:2||PVA:2||Interlaminar stress:2||Partial debonding:2||Mixed variational theorem:2||Hydrothermal reaction:2||Polymer:2||Supercapacitor applications:2||optical properties:2||Supercapacitors:2||Imageless navigator:2||복합재 구조물:2||Metal organic frameworks (MOFs):2||composite structures:2||Piezo:2||Metal oxides:2||Piezoelectric Actuator:2||Finite element method:2||Variablestiffness composite:2||equivalent unit cell model:2||Ndoped graphene oxide (NGO):2||Ndoped graphene oxide:2||Nanoindentation:2||sensor:2||sensor partial debonding:2||Laminated composite:2||Nanocellulose:2||DenseNet:2||압전 작동기:2||Cobalt oxide:2||Uncertainty:2||NMWCNT:2||Biocomposite Laminate:2||Polypyrrole (PPy):2||Induction heating:2||feature selection:2||Industrial robots:2||soft robotics:2||optimization:2||Heat transfer analysis:1||Hierarchical nanostructures:1||Hip:1||Human powered:1||Hybrid method:1||Hybrid supercapacitor:1||Hydraulic bulge:1||Hydraulic cylinders:1||Hydrothermal composite:1||Hysteresis:1||Improved layerwise theory:1||Inception model:1||Industry automation:1||Integrated design:1||KNearest Neighbor regressor:1||Kirchhoff plate theory:1||Knee and ankle angle calculation:1||Knee arthritis:1||Knee degradation:1||Ltyrosine:1||Laminate structure:1||Laminated Composite:1||Laminated composite structures:1||Laminates:1||Landing gear PHM:1||Large Deformation:1||Latin Hypercube Sampling:1||Layerwies theory:1||Layerwise theory:1||LiDAR:1||Limited data:1||Linear Quadratic Regulator (LQR):1||Lowvelocity impact:1||MFC 작동기:1||MOF:1||MOSFET:1||MOSFETs:1||MWCNT:1||Machine learning:1||Macrofiber Composite Actuator:1||Magnetic nanoparticle:1||Maintenance decisionmaking:1||Measurement noise:1||Mechanical properties:1||Medical Waste:1||Medical waste shredder:1||Metal organic frame work (MOF):1||Metal organic framework (MOF):1||Metallization:1||Metallization systems:1||Microshear:1||Microshear test:1||Microglobules:1||Microtension:1||MoS2:1||MobileNet:1||Model Order Reduction:1||Model generalization:1||Model uncertainty:1||Morphological assessment:1||Multiwalled carbon nanotube:1||Multichannel convolutional autoencoder:1||Ndoped GO:1||NMWCNT:1||Nanoscratching:1||Nanocomposites:1||Natural gas hydrate:1||Negative electrode:1||NiCo2O4:1||NiCo2S4:1||NiS@NiMOFBDC:1||Nickel and copper sulfides:1||Nickel cobaltite (NiCo2O4):1||Nickel oxide and NMWCNT composite:1||Nickel sulfide (NiS):1||Nitrogen doped MWCNT:1||Nitrogen doping:1||Nitrogendoped graphene:1||Noiserobust damage detection:1||Nonredundant sensor design:1||OER:1||OFET:1||Optical transparency:1||Optimal classifier:1||Optimal design:1||Organic pollutant:1||Organicinorganic hybrid:1||Osteoarthritis:1||Output voltage:1||Overlay method:1||PHM:1||POSS:1||Particle Size:1||Pellet:1||Photoelectrochemical cell:1||Physicsbased models:1||Piezoelectric:1||Piezoelectric actuator:1||Piezoelectric energy harvesting:1||Piezoelectric sensor:1||Piezoelectrics:1||Poly(methyl methacrylate):1||Polyaniline:1||Porosity:1||Porous materials and supercapacitor:1||Power Spectral Density:1||Power electronics:1||Power spectral density:1||Prediction:1||Pressure ratio:1||Prognostic health management:1||Prognostics and Health Management (PHM):1||Pseudocapacitance:1||RUL prediction:1||Rapid thermal annealing:1||RayleighRitz method:1||Reliabilitybased design optimization (RBDO):1||Renewable materials:1||ResNet model:1||Rotating speed:1||RuO2@Co3O4 oxides:1||Rubber Bushing:1||Rubber bushing:1||SEM:1||SHAP:1||SMATextile actuator:1||SMAtextile actuator:1||SMA섬유 액추에이터:1||SVM:1||Scanning electron microscopy:1||Sensitivity Analysis:1||Sensitivity analysis:1||Sensor clustering:1||Sensor debonding failure:1||Sensor fault:1||Servomotor:1||Shear deformation:1||Shredder:1||Signal Strength:1||Signal statistics:1||Silica/Gold:1||Silica/gold:1||Size Effect:1||Smart composite laminates:1||Smart electronics:1||Smart material:1||SnO2@NiCo2O4:1||SolGel Process:1||Solgel process:1||Solidstategrinding:1||Stille reaction:1||Strain sensing:1||Stress Function:1||Stress concentrations:1||Stress relaxation:1||Supercapacitance:1||Supercapacitor and electrochemical glucose detection sensor:1||Supercapacitor application:1||Surface Modification:1||Surface morphology:1||Surface properties and symmetric supercapacitors:1||Surgical transepicondylar axis:1||Surrogate Model:1||Surrogate model:1||Symmetric supercapacitor (SSC):1||TLPB:1||Templatefree:1||Tensile tests:1||Ternary alloy:1||Ternary composite:1||Tetraethoxysiliane (TEOS):1||Thermal analysis:1||Thermal reduction method:1||Thermal reduction process:1||Thermal stress:1||Thin films:1||Threeelectrode configuration:1||TiO 2:1||TiO2:1||Tinted Film:1||Topology optimization:1||Transient analysis:1||Triboelectric energy harvesting:1||Twin roll:1||Ultrahigh strength fibers:1||Ultrasonics:1||Uncertainty analysis:1||V2O5:1||VABS:1||Vibration characteristics:1||Viscoelastic:1||Viscoelastic model:1||Viscoelasticity:1||WEKA:1||WGAN:1||Wearable devices:1||Wetchemical process:1||Wide Kernel:1||Windshield:1||Wood Powder:1||ZIF 67:1||Zeolite imidazole frame work (ZIF67):1||Zinc cobaltate structure:1||Zinc cobaltite:1||Zn8O8 clusters:1||ZnCo2S4:1||ZnCo2S4 @MOF:1||ZnO:1||active vibration control:1||actual systems:1||actuation ability:1||actuator:1||actuator debonding:1||actuators:1||aircraft maintenance:1||aircraft tail wing structure:1||ambient vibration:1||and signalbased methods:1||anomaly detection:1||antimicrobial properties:1||area metric:1||artificial neural network:1||asymmetric:1||autonomous vehicle:1||benzo[1:1||boiler:1||boiler tube leakage:1||boiler water wall tube:1||cancer therapy:1||capabilities and computer visionAI based:1||centrifugal pumps (CPs):1||characterization:1||chicken eggshell:1||classification:1||classification algorithms:1||cobalt oxide:1||cohesive zone approach:1||cohesive zone modeling:1||composite laminate:1||composite material optimization:1||composite materials:1||composite structure:1||composites:1||computer simulations:1||constitutive model:1||control:1||control performance:1||convolutional autoencoder:1||convolutional neural network:1||convolutional neural networks:1||cotton cellulose:1||coupledfield analysis:1||datadriven machine learning:1||datadriven method:1||debonding failure:1||decision support design:1||deep feature extraction:1||deep learning (DL):1||delamination detection:1||delamination identification:1||deposition:1||diamond:1||dielectric elastomers:1||digital twin technology:1||domainbased analysis:1||dye adsorption:1||dynamic analysis:1||dynamic characteristic:1||dynamic characteristics:1||ecofriendly polymer:1||electric vehicle:1||electrical motor:1||electroactive paper (EAPap):1||electrode:1||electromechanicallycoupled analytical model:1||energy harvesting skin:1||energy storage:1||energy transducer:1||ensemble machine learning technique:1||explainable artificial intelligence:1||explainable artificial intelligence (XAI):1||explainable machine learning:1||extreme gradient boosting:1||failure:1||fatigue analysis:1||fatigue life:1||fault detection and diagnosis:1||fault detection and diagnosis (FDD):1||feature extraction:1||feature optimization:1||femoral coordinate system:1||ferrofluid parameters:1||fiberreinforced composites:1||fiberreinforced polymers:1||finite element method:1||firstorder hyperpolarizability:1||flexible smart material:1||fracture mode:1||fracture toughness:1||freeedge:1||gammaAminopropyltriethoxysilane (gammaAPTES):1||gas sensor:1||gelbased cleaning:1||genetic algorithm:1||geometric optimization:1||graphite rods:1||hashin failure criteria:1||health management:1||health monitoring:1||heat transfer analysis:1||hybrid approach:1||hybrid model:1||hybrid nanocomposite:1||hybrid nanocomposites:1||induction heating:1||industrial robot:1||inspection interval:1||interlaminar stress:1||interlaminar stresses:1||knee alignment device:1||kriging model:1||lamb waves:1||laminated composite:1||laminated composite structures:1||lightweight models:1||linear discriminant analysis:1||linear response theory:1||machine learning (ML):1||macro fiber composite actuator:1||magnetic hyperthermia:1||magnetic nanoparticles:1||maintenance practices:1||manganese oxide:1||manufacturing system:1||matching pursuit decomposition:1||mechanical behavior:1||mechanoluminescent (ML) sensor:1||medical waste:1||medical waste sterilization:1||metallization:1||microscopic damage:1||modelbased approaches:1||modelbased method:1||modified Whiteside's line:1||motor:1||motor current signature analysis:1||motor current signature analysis (MCSA):1||multifeature extraction:1||multiscale modeling:1||multisensory information fusion:1||nanoindentation:1||nanoscratching:1||nanocomposite:1||natural frequency:1||nitrogen and sulfur codoping:1||noncontact sensing:1||nondestructive testing:1||octa maleimidePOSS:1||oil paintings:1||open hole tensile test:1||optimal controller:1||organic additives:1||orthogonal polynomials:1||output voltage:1||peeling stress:1||perception sensors:1||phase tune:1||photosensor:1||physicsinformed neural networks:1||piezobonded laminated composite:1||piezobonded laminated composite:1||piezoelectric patch:1||piezoelectrics:1||polyindole (PIN):1||polymer composites:1||polymers:1||polypyrrole:1||porosity estimation:1||power electronics:1||preservation techniques:1||principal component analysis:1||prognostics:1||progressive damage model:1||progressive damage modeling:1||rGO:1||realworld data:1||recurrent convolutional neural network (RCNN):1||repeatable transepicondylar axis:1||rotate vector (RV) reducer fault detection and isolation:1||rotate vector reducer:1||rotating machinery:1||rotor system:1||sandwich composite:1||scanning electron microscopy:1||scarce data:1||sensitivity:1||sensorbased fault detection:1||sensors:1||servo motor:1||servomotor fault:1||severity assessment:1||shredder blade:1||shredder machine:1||signal preprocessing:1||smart composite plate:1||soft actuator design:1||sparse autoencoder:1||spectrograms:1||static analysis:1||steam power plant:1||steam power plants:1||steam powerplant:1||strain wave gear reducer:1||structural analysis:1||structural delamination:1||structural prognostics:1||structural vibration control:1||structureborne noise:1||supercapacitors:1||supervised learning:1||support vector machines:1||sustainability:1||sustainable design:1||symmetric:1||synchroextracting transform:1||synthetic data:1||system identification:1||taguchi method:1||tellurium dioxide (TeO2):1||thermal management:1||thermal properties:1||thermal stability:1||thermoelectromechanical loading:1||thin films:1||topology optimization:1||traditional methods:1||transducers:1||transient response:1||triphenylamine:1||ultrasonic techniques:1||underwater cylindrical shell structure:1||variable speedbased fault detection:1||variable working condition:1||vibration signals:1||vision transformer:1||waste utilization:1||waterwall tube:1||wavelet packet transform:1||weight reduction:1||wiring harness:1||결함 탐지:1||구리 클립 본드 기법:1||구성방정식:1||능동 제어:1||능동제어:1||다구치 방법:1||대변형:1||동적특성:1||동적해석:1||등가유닛셀 모델:1||딥 러닝:1||딥러닝:1||라이다:1||모스펫:1||박리응력:1||복합재:1||분류:1||분쇄기:1||샌드위치 복합재:1||소프트 로보틱스:1||신호 강도:1||신호 전처리:1||압전재료:1||오토인코더:1||오픈 홀 인장 시험:1||윈드실드:1||응집 영역 접근법:1||의료폐기물:1||일치 추적 분해:1||자유단:1||전이 학습:1||점진적 손상 모델링:1||정적해석:1||최적화:1||틴팅 필름:1||파괴 모드:1||피로해석:1||하신 손상 기준:1||2Methyl imidazole (2MeI):1||합성곱 심경망:1||2b:4:1||3D architecture:1||3D curvefitting:1||3D precursor:1||5b']dithiophene:1||74P15:1||Active Control:1||Active Healing:1||Active electrodes:1||Active vibration control:1||Ag nanoparticles:1||Aircraft maintenance:1||And energy storage applications:1||And excellent cyclic retention:1||And supercapacitor:1||And supercapacitor application:1||Anisotropic beams:1||Antibacterial activity:1||Antimicrobial activity:1||Antimicrobial properties:1||Artificial intelligence (AI):1||Asymmetric supercapacitors:1||Asymptotic method:1||AtmosphericPressure Plasma:1||AuGe alloy:1||Autoencode:1||Autonomous delamination detection:1||Autonomous diagnosis:1||Battery:1||Bearing:1||Benzene dicarboxylic acid ligands (BDC):1||Bifurcation theory:1||Big data:1||Bimoment:1||Bioheat modeling:1||Biocomposite Plate:1||Bone resection:1||Buckypaper:1||CFRP composites:1||CZM model:1||CaO:1||Cancer treatment:1||Capacitance retention:1||Carbon nanotube:1||Carbon nanotubes (NMWCNT):1||Carboxy methyl cellulose:1||Carboxymethyl cellulose:1||Carboxymethylcellulose:1||Catalysts:1||CdZnTe:1||Cellulose (CE):1||Cellulose nanocrystal:1||Cellulose nanocrystals:1||Chemical bonding:1||Classification:1||Co3O4/RuO2@NGO:1||Co3O4@N and S codoped GO:1||Cobalt ferrite:1||Cobalt oxide (Co3O4):1||Cobalt oxide Co3O4:1||Cobalt sulfides:1||Complementary Virtual Work:1||Compliance minimization:1||Composite delamination:1||Composite electrode:1||Composite material:1||Composite materials:1||Composite structure:1||Composite structures:1||Comprehensive correction:1||Computational mechanics:1||Computational modelling:1||Constitutive model:1||Convolutional AutoEncoder (CAE):1||Convolutional Neural Network:1||Convolutional auto encoder:1||Convolutional neural network (CNN):1||Copper oxide:1||Copper oxide (CuO):1||Core/shell nanoparticles:1||Coupling Agent:1||Covalent Bonding:1||Covalent bonding:1||CuO@MnO2:1||Cyclic retention:1||Cyclic stability and excellent retention:1||DMMP detection:1||Damage Detection:1||Damage classification:1||Data imbalance:1||Datadriven adaptive:1||Datadriven model:1||Deep drawing:1||Deep learning (DL):1||Delamination damage:1||Deposition:1||Design optimization:1||Diabetes Mellitus:1||Diamond:1||Diamond die:1||Doubly curved:1||Dynamic Characteristics:1||Dynamic equivalent stiffness:1||Early Detection, Healthcare:1||EfficientNet:1||ElectroActive Paper:1||ElectroActivepaper:1||Electrochemical activity:1||Electrochemical performance:1||Electrochemical property:1||Electrochemical sensor:1||Electrochemical study:1||Electrodeposition:1||Electromagnetic energy harvesting:1||Electronic packaging:1||Electroplating:1||Embossed sheets:1||Empirical mode decomposition:1||Empirical model:1||Energy Harvesting:1||Energy conversion:1||Energy storage applications:1||Equivalent Stiffness:1||Excellent:1||Failure mechanism:1||Fatigue crack:1||Fault prognosis:1||Faut detection:1||Fe2O3@NMWCNT:1||Feeding pressure:1||Femoral coordinate system:1||Fiber reinforced composites:1||Fiber steering constraint:1||Fiberreinforced polymer composites:1||Finite element method (FEM):1||Fracture:1||Fracture analysis:1||Free edge:1||FreeEdge:1||Freeedge:1||Frequency response function:1||Functionally Graded Material:1||GTN model:1||Gas sensors:1||Gated recurrent unit:1||Generative adversarial network:1||Glucose detection:1||Grain Size Analysis:1||Graphene:1||Graphene oxide:1||Graphitic carbon nitride:1||Hashin failure:1||

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