ScholarWorks@Hanyang University ERICA Campus: Nam, Hae woon

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Nam, Hae woon (남해운)

COLLEGE OF ENGINEERING SCIENCES (SCHOOL OF ELECTRICAL ENGINEERING)

Research Area: 통신 및 임베디드 시스템

Tel 031-400-5293
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Cognitive radio:9||deep learning:9||Deep learning:9||cognitive radio:5||CNN:5||Opportunistic scheduling:4||Burst signal:4||localization:4||Cooperative spectrum sensing:4||UNet:4||Feature extraction:4||multiuser access:3||impulsive noise:3||energy detection:3||Localization:3||Wireless sensor networks:3||spectrum sensing:3||Impulsive noise:3||Federated learning:3||Particle swarm optimization (PSO):3||Empirical Mode Decomposition:3||Internet of Things:3||Signal to noise ratio:3||GNU Radio:3||USRP:3||Middleton class A noise:3||Interference:2||Software defined radio:2||spectrum utilization:2||Global Positioning System:2||Radar signal:2||IoT:2||Multiple Collision Avoidance:2||Multiple Vehicle Control:2||ConvTasNet:2||KolmogorovSmirnov Test:2||Receivers:2||Evasive Maneuver:2||Autonomous driving:2||multidimensional scaling:2||Cognitive radios:2||multidimensional scaling (MDS):2||TCP/IP:2||wireless sensor network:2||Noise separation:2||user scheduling:2||convergence rate:2||convolutional neural network:2||Transfer Learning:2||pairwise error probability:2||parameter estimation:2||Transformer:2||Bit error rate (BER):2||polyp segmentation:2||Image Steganography:2||Denoising Autoencoder:2||Communication signal:2||Location information:2||distributed learning:2||Accuracy:2||recurrence plot:2||energy efficiency:2||DBSCAN:2||Impulsive Noise:2||Signal detection:2||ChiSquare Test:2||Signal restoration:2||Wireless communication:2||signal detection:2||Clustering algorithms:2||Binary data hiding:2||Distributed space time block code (DSTBC):1||Distributed spacetime block code (DSTBC):1||Diversity methods:1||Diversity reception:1||Drone:1||Dynamic time warping:1||EM algorithms:1||Electronic Warfare (EW):1||Electronic mail:1||Embedding Capacity:1||Embeddings:1||EndtoEnd learning:1||Energy detection:1||Energy efficiency:1||Energy harvesting Cooperative spectrum sensing:1||Energy measurement:1||Energy utilization:1||Energydelay:1||Errors:1||Evaluation:1||Fading channels:1||False alarms:1||Feature Representation:1||Fewshot learning:1||Firstorder approximations:1||Flicker:1||Flow encoding:1||Formation flight:1||Formation flight control (FFC):1||Fractionally spaced equalization:1||Frequency overlap:1||Fullduplex:1||Fusion center:1||Gazebo:1||General Topics for Engineers:1||Grouping algorithm:1||Heterogeneous network:1||Heterogeneous networks:1||Hierarchial Swarm System:1||IFFT:1||IMPERFECT REPORTING CHANNELS:1||INFORMATION:1||Image Attention:1||Image Enhancement:1||Image Hiding:1||Image Super Resolution:1||Image coding:1||Image edge detection:1||Image segmentation:1||Imaging Algorithm:1||Imperfect reporting channel:1||Information Transmission:1||Information hiding:1||Information theory:1||Infrared camera:1||Internet of things:1||Intrapulse Modulation:1||IoT sensor:1||Kolmogorov&#8211:1||LED Life Time:1||LED Network System:1||LPI Radar:1||LPI Signal Classification:1||Language Model:1||Layer wise Relevance Propagation:1||LeaderFollower System:1||LevenbergMaurquardt:1||Local decisions:1||Localization Error:1||Location awareness:1||Losslessly:1||Low Probability of Intercept (LPI) radar:1||Low SNR Radar:1||Low SNR environments:1||Low SNR radar signal:1||Lowpower wide area networks:1||MDS:1||Mathematical model:1||Memorybased additional autoencoder:1||Microrotation:1||Missdetection:1||Multidimensional scaling:1||Multiimages:1||Multidimensional Scaling:1||Multidimensional scaling:1||Multiuser scheduling:1||NETWORKS:1||NLOS detection:1||NTSC:1||Noise reduction:1||Output data:1||Overlapping signals separation:1||PEP:1||POWER ALLOCATION:1||PSHU:1||PWM Duty Ratio:1||Pairwise Error Probability:1||Parallel operations:1||Parallel sensing:1||Parameter estimation:1||Particle Swarm Optimization:1||Pathloss estimation:1||Peruser threshold and feedback threshold:1||Positioning:1||Positioning system:1||Power Scaling:1||Power demand:1||Prediction algorithms:1||QSTBCs:1||QoS:1||Quadrature amplitude modulation:1||Quantized decision:1||QuasiOrthogonal SpaceTime Block Codes:1||ROS:1||Radar:1||Radar detection:1||Radar target detection:1||Radio frequency:1||Ranging:1||Rayleigh channels:1||Rayleigh fading:1||Rayleigh fading channel:1||Recurrence Plot:1||Recurrence plot (RP) algorithm:1||Reference Receiver:1||Refinement:1||Relation Network:1||ResUNet:1||Resource allocation:1||Rotation:1||SCFDMA:1||SCFformer:1||SDR:1||SNR threshold:1||SVM:1||Satellite broadcasting:1||Self Attention:1||Selfinterference cancellation:1||Semantic:1||Semisupervised learning:1||Sensing performance:1||Sensors:1||Shortest path:1||Signal Processing and Analysis:1||Signal recovery:1||Signal separation:1||Silicon:1||Simulation Framework:1||Smirnov test:1||Soft combining:1||Softwareintheloop:1||Source separating:1||Sparsity order estimation:1||Spectral efficiency:1||Spectrum sensing:1||Speed improvement:1||Steganography:1||Stereo vision:1||Swarm Control:1||Swarm UAVs:1||Switched multiuser access:1||Symbol error rate (SER):1||Symbol error rate(SER):1||TDMA:1||TP309.7:1||Task analysis:1||Timefrequency analysis:1||Training Strategy:1||Transformers:1||Twoway ranging (TWR):1||U2Net:1||UAV classification:1||UWB:1||Ultrawideband (UWB):1||Unknown radar waveform detection:1||Unmanned aerial vehicle (UAV):1||Unmanned aero vehicle (UAV):1||Unsupervised denoising:1||Visible Light:1||Vision Transformer:1||Vision:1||Visual Communication:1||Wallace tree:1||White LED:1||Wideband spectrum sensing:1||Wireless Optical Communication:1||Wireless telecommunication systems:1||ZigBee:1||acceleration coefficients:1||adaptive search factor:1||and iterative group splitting:1||and opportunistic splitting algorithm:1||and path planning:1||antenna switching:1||asymptotic PEP derivation:1||asymptotic diversity order:1||asymptotic expression:1||blind equalization:1||blind fractionally spaced equalization:1||block coordinate descent:1||burst signal detection:1||camouflage object detection:1||channel estimation:1||classification:1||closedform formulas:1||cluster head:1||clustering:1||cognitive radio networks:1||collision avoidance of swarm UAVs:1||communication range:1||complementary cumulative distribution function (CCDF):1||connected component analysis:1||cooperative spectrum sensing:1||correction:1||covariance matrix:1||decodeandforward:1||deep neural networks:1||deep reinforcement learning:1||degree of freedom:1||denoising UNet optimization:1||denoising autoencoder:1||detection:1||dimensionality reduction:1||dissimilarity:1||distance:1||distance metric:1||distributed spacetime block code:1||endtoend learning:1||exploitation:1||exploration:1||fading channel:1||fairness:1||fast convergence:1||federated learning:1||feedback:1||global map:1||health care:1||heterogeneous networks:1||imaging:1||imperfect channels and correlation:1||imperfect reporting:1||indoor navigation:1||inertia weight:1||interference:1||iterative group splitting:1||joint control:1||joseph scrambling:1||least squares method (LSM):1||local details:1||longrange dependencies:1||lowcomplexity transmitter:1||map merging:1||map weight:1||mesh network:1||modulation recognition:1||multiuser diversity:1||multiuser diversity:1||multivariate:1||non i.i.d. channels:1||nonlinearity:1||offline performance metrics:1||online:1||opportunistic splitting algorithm:1||opportunistic splitting algorithm (OSA):1||optimized circularly shifted phase sequences (OCSPS):1||orthogonal frequency division multiplexing (OFDM):1||partial transmit sequence scheme (PTS):1||particle swarm optimization (PSO):1||path planning:1||path planning of swarm robots:1||peaktoaverage power ratio (PAPR):1||positioning:1||post processing:1||primary users:1||probability:1||probability of detection:1||procrustes analysis:1||procrustes transform:1||quantization:1||quasiorthogonal spaceaEuro"time block codes:1||rank minimization:1||realworld:1||received signal strength:1||root mean square error:1||scheduling:1||scorebased scheduling:1||secondary user:1||secondary users:1||sensing error:1||sensor networks:1||short packet:1||sigmoid:1||signaltonoise ratio regime:1||similarity:1||singular value decomposition.:1||sleeping disorder:1||soft combination:1||soft cooperation:1||spacetime block codes:1||spatial map:1||spectrum hole utilisation:1||spectrum hole utilization:1||steganography:1||swarm:1||swarm robotics:1||switched multiuser access and feedback threshold:1||technology recognition:1||testbed environments:1||time frequency analysis:1||timedomain processing:1||transformer:1||transmission duration:1||ultrareliable and low latency communication:1||unbiased aggregation:1||underwater signal:1||unsupervised learning:1||utilization efficiency:1||vector combination:1||vehicular network:1||weighted centroid localization (WCL):1||wireless sensor networks:1||미약 레이더:1||ALGORITHM:1||반송파 주파수:1||Adaptive blanker:1||Adaptive modulation:1||Advanced Driver Assist System (ADAS):1||Against JPEG compression:1||Amplifyandforward (AF):1||Analytical models:1||Angle of arrival (AOA):1||AoA:1||Application software:1||Attention Mechanism:1||Attention Mechanisms:1||AutoEncoder:1||Automatic Modulation Classification:1||Automatic modulation classification (AMC):1||Autonomous Driving:1||Autonomous Vehicles:1||BLE:1||Bayesian estimation:1||BiLSTM:1||Binary phase shift keying:1||Blanking and clipping nonlinearities:1||Blind channel:1||Blind equalization:1||Blind equalizers:1||Burst signal detection:1||CMA equalization:1||COGNITIVE RADIO NETWORKS:1||Carrier Frequency:1||Channel conditions:1||Channel estimation:1||Circularly shifted phase sequences (CSPS):1||Class A Middleton noise:1||Classification:1||Closedform expression:1||Clust:1||Cluster head:1||Clusterbased:1||Coordinate rotation digital computers:1||Cognitive Radio (CR):1||Cognitive radio networks:1||Cognitive radios and resource allocation:1||Communication switching:1||Communication systems:1||Communication, Networking and Broadcast Technologies:1||Complexity theory:1||Compressive sensing:1||Computer architecture:1||Convolutional neural networks:1||Cooperative Spectrum Sensing (CSS):1||Cooperative diversity:1||Cooperative diversity system:1||Correlation:1||Costs:1||CramerRao lower bound:1||DCNN:1||DHUNet:1||Data Transfer Rate:1||Decoding:1||Deep Learning:1||Deep Neural Networks:1||Deep embedding clustering:1||Deep shrinkage autoencoder:1||Degradation:1||Delaunay triangulation:1||Detection time:1||Detectors:1||Digital computers:1||Discrete cosine transform quantization:1||Discrete resource allocation:1||Distance measurement:1||

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