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KIM, SANG WOO (김상우)
Dept of Electrical Engineering(전자전기공학과)
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SYSTEM:4||ALGORITHM:4||DEFECT DETECTION:3||uDEAS:3||TRANSFORM:3||SEGMENTATION:3||AUTOMATIC DETECTION:3||transformer:3||LYAPUNOV:3||fault diagnosis:3||IEEE 802.15.4a:3||spectral analysis:3||GENETIC ALGORITHMS:3||CLASSIFICATION:3||misalignment:2||transfer function:2||SEARCHES:2||power transformers:2||Gabor filter:2||dynamic encoding algorithm for searches:2||LMS ALGORITHM:2||Adaptive filters:2||equalizer:2||frequency response analysis:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||FREQUENCY WEIGHTING:2||shortcircuit fault:2||FREQUENCYRESPONSE ANALYSIS:2||SYSTEMS:2||Bitpatterned media:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||POWER TRANSFORMERS:2||Variable stepsize:2||VISION:2||REAL:2||DYNAMIC ENCODING ALGORITHM:2||soft output Viterbi algorithm:2||defective phase:2||EIGENVALUES:2||gain tuning:2||parameter identification:2||genetic algorithm (GA):2||GABOR FILTERS:2||ROBOT LOCALIZATION:2||mobile robot localization:2||PERFORMANCE:2||Meansquare deviation (MSD):2||Defect detection:2||FILTERS:2||fault classification:2||induction motor:2||robust stability:2||LYAPUNOV EQUATIONS:2||OPTIMIZATION:2||Normalized subband adaptive filter (NSAF):2||discrimination criteria:2||ADAPTIVE FILTERS:1||partial response maximum likelihood:1||STORAGE:1||Bluray disc (BD):1||MODE SWITCHING CONTROL:1||Character location:1||SURFACEDEFECTS:1||FUSION:1||DESIGN:1||automatic gauge control:1||LITHIUM:1||fuzzy proportional integral (PI) control:1||fuzzysliding mode control:1||string stability:1||AUTOMATED HIGHWAY SYSTEMS:1||MULTIPLICATIVE ERROR:1||FREQUENCY DOMAIN ERROR BOUND:1||ROTOR RESISTANCE:1||condition number:1||billet temperature estimation:1||estimation of noise variance:1||SUBSPACE TRACKING:1||EQUALIZATION:1||humanoid robot:1||Normalized least mean square algorithm:1||Recursive least square:1||Extended Kalman filter:1||Chirp spread spectrum:1||extended Kalman filter (EKF):1||Misalignment:1||convolutional neural network:1||MICROSTRUCTURE:1||DECOMPOSITION:1||Visionbased system:1||DIRECTIONAL TEXTURES:1||Affine projection algorithm:1||MATRIX:1||Adaptive filter:1||RESPONSE MAXIMUMLIKELIHOOD:1||partial responsemaximumlikelihood:1||Pullin Stability:1||SystemonChip (SoC):1||Anticollision algorithm:1||OPTICAL DISKDRIVES:1||VISION SYSTEM:1||PARAMETERIDENTIFICATION:1||STEEL:1||ELECTRIC VEHICLES:1||CYCLE LIFE:1||INDUCTIONMOTOR:1||dataselective method:1||ADAPTIVE ALGORITHMS:1||LOCALIZATION:1||measurement bias:1||VARIABLE STEPSIZE:1||Reuse of coefficient vector:1||text recognition:1||Automated inspection:1||selection criterion:1||intersymbol interference:1||readback signal:1||least mean square:1||Textfinder:1||RECOGNITION:1||LOCATION:1||EDGE:1||SERVO SYSTEM:1||INSPECTION:1||CALENDAR:1||platoon:1||generating set search:1||univariate dynamic encoding algorithm for searches (uDEAS):1||affine projection algorithm:1||GAIN:1||prediction error method:1||biped walking:1||heuristics:1||Kalman filter:1||LOWTEMPERATURE TOUGHNESS:1||PREDICTION:1||Adaptation term:1||Model Uncertainty:1||Text localization:1||Localization:1||MAXIMUMLIKELIHOOD:1||Vision inspection:1||ONBOARD STATE:1||ENERGY:1||gasturbine plant:1||IVHS:1||PHASE MARGINS:1||FEM:1||HEBBIAN LEARNING ALGORITHM:1||PARAMETER:1||Positioning:1||Minimization criterion:1||WIRELESS SENSOR NETWORKS:1||TRILATERATION:1||pseudo affine projection (PAP) algorithm:1||machine vision:1||endtoend algorithm:1||XRAY IMAGES:1||GABOR FILTER:1||Steadystate analysis:1||NLMS ALGORITHM:1||multiple cell:1||MEANSQUARE PERFORMANCE:1||VITERBI ALGORITHM:1||Acoustic echo cancellation:1||Character segmentation:1||TEXT DETECTION:1||Chirpspreadspectrum:1||ADAPTIVE WAVELETS:1||Surface flaw:1||adaptive signal processing:1||CHARGE:1||RICCATI EQUATION:1||dynamic encoding algorithm for searches (DEAS):1||direct search method:1||emission factors:1||Statespace equation:1||Nonzero mean noise:1||Constrained minimization criterion:1||transfer function method:1||AUTOMATED VISUAL INSPECTION:1||SUPPORT VECTOR MACHINES:1||NEURALNETWORK:1||ENHANCEMENT:1||tracking performance:1||subband adaptive filter:1||Text extraction:1||STROKE FILTER:1||Multiple nodes:1||FREQUENCYDOMAIN:1||computational complexity:1||HEALTH ESTIMATION:1||CELLS:1||adaptive genetic algorithm:1||velocity/acceleration control:1||CONTROL DESIGN:1||MODEL REDUCTION:1||LYAPUNOV EQUATION:1||BALANCED STOCHASTIC TRUNCATION:1||CONTROLLER ORDER REDUCTION:1||global convergence:1||multiobjective optimization:1||TUNING FORMULAS:1||reheating furnace:1||consistent estimation in data least square filtering:1||IDENTIFICATION:1||DEPOSITION:1||AFFINE PROJECTION ALGORITHMS:1||surface inspection:1||Combination algorithm:1||Chirp spread spectrum (CSS):1||observability:1||recursive least square:1||INITIALVALUE COMPENSATION:1||Text detection:1||VIDEO FRAMES:1||FABRIC INSPECTION:1||CRACKS:1||headway control:1||BIVALANCED STOCHASTIC TRUNCATION:1||BALANCED TRUNCATION:1||PID control:1||Ascending and descending stairs:1||SINUSOIDAL FREQUENCY:1||defect detection:1||character recognition:1||Steel surface inspection:1||Variable regularization:1||intertrack interference:1||twodimensional interference:1||adaptive filters:1||variable step size:1||Optical character recognition (OCR):1||COLOR IMAGES:1||feed forward control:1||Affine projection (AP) algorithm:1||SLAG INFILTRATION:1||MANAGEMENT:1||OPERATION:1||function optimization:1||zeroforcing adaptive FIR channel equalizer:1||FIR:1||Frequency estimation:1||Adaptive algorithm:1||MEANSQUARE:1||Chirpspreadspectrum (CSS) ranging:1||Normalized least mean squares algorithm:1||quality control:1||X70:1||
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