ScholarWorks@Gyeongsang National University: Park, Jin Hyun

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Park, Jin Hyun (박진현)

IT공과대학 (메카트로닉스공학부)

Research Area: 딥러닝, 로봇공학, 모터제어, Deep Learning, Robotics, Motor Control

Tel 0557723386
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신경회로망:13||유전알고리즘:7||neural network:6||이동로봇:6||Convolutional neural network:5||컨볼루션 신경망:5||YOLO:4||예측제어:4||딥러닝:4||genetic algorithm:4||Neural network:4||Neural Network:4||biological mimic:4||Deep learning:4||Steam table(증기표):3||Mobile Robot:3||gradient descent learning:3||스플라인 보간법:3||CST(Cshape sharp turn):3||유전 알고리즘:3||Genetic Algorithm:3||Neural networks(신경회로망):3||Genetic algorithm:3||제어파라미터:3||증기표:3||경사감소학습:3||Spline interpolation method:3||Steam table:3||Immune feedback mechanism:2||image analysis:2||mobile robots:2||Compressed region(압축영역):2||Pig:2||neural network(신경회로망):2||nonlinear variable PID controller:2||Z. Cao's fuzzy inference method:2||물고기 로봇:2||Interpolation method(보간법):2||PID controller:2||Image analysis:2||you only look once (YOLO):2||LED:2||predictive control:2||최적제어이득:2||formation control:2||RGBW LED:2||fish robot:2||Superheated region(과열영역):2||Hand Gesture:2||Colorbased Vision System:2||Saturation:2||Neural networks:2||과도유동:2||tail motion function:2||군집제어:2||CNN(Convolutional Neural Network):2||Outdoor:2||제한조건:2||control parameters:2||Color Card:2||Optimal Control Gain:2||Saturated region(포화영역):2||vegetation index:2||Brachistochrone problem:2||Transient flow:2||Vegetation index:2||Velocity distribution:2||빠른 방향 전환:2||생물학적 모방:2||PID 제어기:2||Pattern Recognition:2||속도분포:2||mamdani's fuzzy inference method:2||최단시간제어:2||minimumtime control:2||Predictive Control:1||Predictive control:1||Pressure distribution:1||Production:1||RGBW LED system:1||Redundant robot manipulator:1||Reference trajectory:1||Reset circuit:1||Robot manipulator:1||Robot manipulator(로봇 매니퓰레이터):1||Rotation angle:1||Saturated region:1||Saturated state(포화 상태):1||Spline interpolation:1||Spline interpolation method(스플라인 보간법):1||Stratospheric drone:1||Superheated region:1||Superheated state(과열 상태):1||Superheated vapor:1||TNPC(Ttype Neutral Point Clamped):1||Temperature distribution:1||Thermal fluid problem:1||YOLO(욜로):1||You Only Look Once (YOLO):1||Z. Cao's fuzzy inference:1||Zermelo navigation problem:1||Zermelo 항해 문제:1||Zermelo’s navigation problem(Zermelo의 항해문제):1||a combustion timing loss:1||a flame propagation speed:1||autonomous driving:1||balancing control:1||charging system:1||chrysanthemum:1||circular bounding box:1||circular objects:1||color rendering index:1||constraints:1||convolution neural network:1||correlated color temperature:1||cropping method:1||detecting defective cigarettes:1||diode clamped circuit (DCC):1||elevator:1||energy storage system:1||exotic invasive species:1||failure rate:1||faulttree analysis (FTA):1||feedforward neural network:1||fifthorder polynomial(5차 다항식):1||flying capacitor circuit (FCC):1||forward converter:1||forward neural network:1||highspeed controller:1||inductor’s excitation voltage:1||lane detection:1||lane recognition:1||leaderfollowing robots:1||lookahead point:1||mamdani's fuzzy inference:1||minimumtime control(최소시간제어):1||neural network compensator:1||object classification:1||outdoor:1||outdoor pig:1||output voltage control:1||path tracking:1||pig:1||production:1||rotatable bounding box:1||steam table(증기표):1||steering controller:1||stratospheric drones:1||superheated vapor(과열증기):1||ttype neutral point clamped circuit (TNPC):1||the spark advanced controller:1||tobacco processing:1||two wheeled inverted pendulum robot:1||underwater photography:1||vanishing point:1||video image:1||경로 추종:1||계산 토크 제어기:1||공장자동화:1||과열영역:1||과열증기:1||군집 제어:1||궐련 담배 검출:1||기구학제어:1||기준궤적:1||꼬리 모션 함수:1||다중 차선:1||데이터 증강:1||동적제어기:1||라그랑지 보간법:1||로봇 매니퓰레이터:1||모델예측제어기:1||방송용 조명:1||밸런싱 제어:1||볼루션 신경망:1||부하변동:1||분류:1||비선형 동역학:1||선도추종 로봇:1||소실점:1||순방향 신경망:1||스플라인 보간법(spline interpolation method):1||신경 회로망 보상기:1||알렉스넷:1||압력분포:1||압축천연가스:1||어류 이미지:1||어류 종:1||여유자유도 로봇 매니퓰레이터:1||연소타이밍손실:1||열유체문제:1||예견점:1||온도 분포:1||욜로:1||원형 경계상자:1||이동 로봇:1||이륜 역진자 로봇:1||이미지 변환:1||자율주행 차량:1||적분 슬라이딩 모드:1||적응 PID 제어기:1||적응PD제어:1||전도 열전달:1||전방향 모바일 로봇:1||점화진각제어기:1||조향 제어기:1||차선 인식:1||차선검출:1||최단강하선 문제:1||최단시간:1||최소 에너지:1||최적화:1||출력 전압 제어:1||포워드 컨버터:1||포화:1||포화영역:1||화염전파속도:1||ADS(Address and Display Separated) Driving:1||회전각:1||ANPC(Active Neutral Point Clamped):1||Adaptive PID controller:1||Adaptive Pd Control:1||AlexNet:1||Autonomous vehichle:1||Autonomous vehichle(자율주행 차량):1||Brachistochrone 문제:1||Broadcasting lighting:1||CHC(Cascaded Hbridge Circuit):1||CNG fuel:1||CNN:1||CNN(Convolutional Neural Network)(컨벌루션 신경망):1||Cigarette Detection:1||Cigarette detection(궐련 담배 검출):1||Circle Bounding Box:1||Circular bounding box:1||Classification:1||Computed torque controller:1||Computed torque controller(계산 토크 제어기):1||Conduction heat transfer:1||Constraints:1||Constraints(제한조건):1||Control Parameters:1||Convolutional neural network(컨벌루션 신경망):1||Convolutional neural network(컨볼루션 신경망):1||DCC(Diode Clamped Circuit):1||Data Augmentation:1||Data acquisition:1||Data augmentation(데이터 증강):1||Deep network(깊은 신경망):1||Dynamic Controller:1||Efficient classification:1||Exotic invasive fish species:1||FCC(Flying Capacitor Circuit):1||Factory automation:1||Factory automation(공장자동화):1||Fish Image:1||Fish Species:1||Formation control:1||Genetic algorithm(유전 알고리즘):1||Genetic algorithm(유전알고리즘):1||Golf Performance:1||Gradient Descent Learning:1||Image conversion:1||Integral sliding mode:1||KLPGA:1||Kinematic control:1||Lagrange interpolation method:1||Lane recognition:1||Load Variation:1||MIMO fuzzy inference:1||MLP(Multi Layer Perceptron)(다층퍼셉트론):1||Minimum Energy:1||Minimumtime:1||Mobile Robots:1||Mobile robot:1||Mobile robots(모바일 로봇):1||Model predictive control(모델예측제어):1||Model predictive controller:1||MultiLanes:1||MultiLanes recognition(다중 차선 인식):1||Multilanes detection(다중 차선 인식):1||Neural network(신경회로망):1||Nonlinear dynamic:1||Omnidirectional mobile robots:1||Optimization:1||PD controller:1||PD 제어기:1||PDP(Plasma Display Panel:1||PFC(Power Factor Correction:1||PID control:1||PID 제어:1||Performance Factor:1||Prediction System:1||

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