ScholarWorks@Soongsil University: Yoo, Myung sik

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Yoo, Myung sik (유명식)

College of Information Technology (Department of Electronic Engineering)

Research Area: 가시광통신, 클라우트 시스템, 센서네트워크, Visbile Light Communcation, Could System, Sensor Network

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LED:13||visible light communication:11||camera:10||NFV:10||Visible light communication:9||vehicle:9||image sensor:6||positioning:5||communication:5||optical:4||Autonomous vehicles:4||Wireless Mesh Network:4||Social Network:3||Power Saving:3||visible light:3||Kubernetes:3||detection:3||Optimization:3||Visible Light Communication:3||Signaltonoise ratio:3||Feature extraction:3||Angle:3||taillight:3||LiDAR:3||Estimation:3||Container:3||TDoA:3||tracking:3||reflective surface:2||PON:2||Packet loss:2||resource estimation:2||rolling shutter:2||MAC protocol:2||Cognitive Radio:2||Ethernet PON:2||autonomous vehicle:2||autoscaling:2||MPCP:2||simulation:2||Photo diodes:2||cloud computing:2||CR network has to give the right to licensed users:2||Synchronization:2||TCP RTO_MIN:2||Handoff:2||Position:2||Positioning:2||vehicle detection:2||Power consumption:2||Handoff Delay:2||Privacy:2||whenever licensed users present:2||Testing:2||DBA:2||FTTH:2||QoS:2||QoS (566):2||Downlink Scheduling Algorithm:2||handover:2||headlight:2||랑데부:2||Transformers:2||무선 인지 라디오:2||무선 주파수 상황:2||BER:2||IEEE 802.15.4e:2||IEEE 802.15.7:2||Multiobjective optimization algorithm:2||제어 채널The cognitive radio (CR) technology enables to utilize the unused licensed spectrum bands (spectrum holes).However:2||CMOS sensor:2||infrastructure:2||VNF:2||Received light intensity:2||Received power:2||NLOS communication:2||NSGA:2||Autonomous driving:2||light emitting diode:2||lightemitting diode:2||Cluster:2||SFC:2||mining:2||Laser radar:2||OLT:2||Seamless Service:2||ONU:2||Detectors:2||Object detection:2||Oneway Trip Time:2||Wireless Sensor Network:2||Wireless sensor network:2||Lightemitting diodes:2||YAML:2||Diffusion:2||Simulator:2||accuracy:2||Genetic algorithms:2||Influence:2||and look foranot:2||Goal programming:2||IoTs:1||Itrusion Detection:1||Kalman filter:1||Key Assignment:1||Key assignment:1||Key distribution:1||Keyword:1||Knowledge management:1||Kolla:1||KubeEdge:1||LBS:1||LED panel:1||LIDAR sparse depth:1||Latency:1||Lighting angle:1||Link Layer Discovery Protocol latency:1||Linux OS Parameter:1||Low Latency Data Network(LLDN):1||M2M Multipath routing Sensor network Link Interference Packet delay:1||MILP:1||MIP(Mixed Integer Programming):1||Machine Learning:1||Machine learning:1||Markov decision process:1||Matlab/Simulink:1||Medium access control:1||Mesh:1||Meteorology:1||Minimization:1||Mininet:1||Mistral:1||Mobile adhoc network:1||Monitoring System:1||Multiradio:1||Multipleobject tracking:1||Network Function Virtualization:1||Network Service Mesh:1||Network function virtualization:1||Node mobility:1||Nuclei Segmentation:1||OOK modulation:1||Object tracking:1||OpenStack:1||Optical Burst Switching:1||Optical Internet:1||Optical burst switching:1||Optical camera communication:1||PI (paging indicator):1||Paging Indicator:1||Passiveaggressive online learning:1||Patching scheme:1||Performance Comparison:1||Pilot Signal:1||Point cloud compression:1||Prediction:1||Propagation probability:1||Proportional Fairness:1||Proportional Fairness Scheduling:1||Quality of service:1||RFID system:1||RSSI:1||Rate Monotonic:1||Reader collision:1||RealTime:1||Realtime systems:1||Realtime:1||Recommender System:1||Redundancy Transmission:1||Reference broadcast:1||Rendezvous:1||Rolling shutter:1||Routing Algorithm:1||Routing Metric:1||Routing Protocol:1||SNR:1||Scheduling:1||Search System:1||Selfhealing:1||Selfhealing:1||Semantics:1||Sensor MAC Algorithm:1||Service Function Chaining:1||Similarity:1||Sleep Period:1||Social Network Service:1||Social network service:1||Social networks:1||Softwaredefined Internet of Things:1||Solid modeling:1||Spatial context encoding:1||Spectrum Pool:1||Station search:1||Stereo matching:1||Stereo vision:1||Streaming:1||Strict priority queuing:1||TDOA:1||TTL:1||Tacker:1||Taillight detection:1||Taillight pairing:1||Target tracking:1||Task analysis:1||Test Profiler:1||Testing VNF:1||Threedimensional displays:1||Tolerance:1||Traffic Arrival Rate:1||Traffic load:1||Training:1||Trajectory prediction:1||Trust Level:1||Trust Model:1||UNet:1||UMTS:1||Ubiquitous Sensor Network:1||V2I:1||VLC:1||VNF Monitoring:1||VNF placement:1||VNF placement optimization:1||VNFFG:1||Vehicle:1||Videoondemand (VoD):1||Visible LAN:1||Visible personal area network:1||WCDMA:1||WDMPON:1||WRTPCA:1||WSN:1||Wasserstein GAN:1||Wireless:1||Wireless Control System:1||Wireless Network:1||Wireless Networked Control System(WNCS):1||Workflow Service:1||Workload Resource:1||Zipf distribution:1||Zone Master:1||accelerometer sensor:1||adaptive DRX:1||adverse weather conditions:1||ambient light:1||analysis:1||android:1||anisotropic diffusion:1||application:1||authentication:1||autoencoder:1||autonomous driving:1||calibration:1||cgroup:1||container:1||convolutional autoencoder:1||cycleGAN:1||data reconstruction:1||data recovery:1||deep learning:1||deep neural network:1||deep reinforcement learning:1||depth completion:1||device manager:1||differential coding:1||eavesdropping:1||extended PI:1||fan page:1||feature:1||feature selection:1||federated learning:1||femtocell:1||generative adversarial network:1||heuristic:1||hyperparameter optimization:1||image processing:1||image segmentation:1||indexing:1||indoor:1||indoor positioning:1||intelligent transportation systems:1||intersymbol interference:1||interference:1||internet of things:1||intrusion detection:1||iptables:1||k3s:1||knowledge distillation:1||kubernetes:1||learning (artificial intelligence):1||lexiconbased analysis:1||light detection and ranging (LiDAR):1||link service:1||machine learning:1||mobileWiMAX:1||multiaccess edge computing:1||multiattribute:1||multiobjective:1||multipleobject tracking:1||multivariate variables:1||noise:1||noise reduction:1||occlusion handling:1||opinion:1||optical camera communication:1||optimization:1||overlapping objects:1||overlay coding:1||performance:1||photo diode:1||photodiode:1||photodiode (PD):1||point cloud:1||popularity prediction:1||power saving:1||practical model:1||probability:1||reference broadcast:1||resolution:1||resource allocation:1||security:1||segmentation:1||selfattention. crossattention:1||semantic segmentation:1||sensor fusion:1||service caching:1||signal quality:1||softwaredefined networking:1||survey:1||symmetric:1||synchronization:1||task offloading:1||time series forecasting:1||timeseries analysis:1||tolerance:1||training:1||transformer:1||vehicle tracking:1||vehicular:1||vulnerability:1||weather effect:1||web application:1||wireless:1||wireless sensor network:1||wireless sensor networks:1||~MEC federation:1||가입자망:1||논리그룹:1||대역폭보상:1||동적 대역 할당:1||동적자원:1||라우팅 프로토콜:1||리눅스 OS 파라미터:1||머신 러닝:1||상향 전송:1||성능 비교:1||시스템구축비용:1||애드 혹 무선 네트워크:1||자동조정:1||존 마스터:1||침입 탐지:1||키워드 WDMPON:1||3D object detection:1||하이브리드 무선 네트워크:1||3D object detection:1||5G:1||AC Charger:1||AR maker:1||Access Control:1||Access Network:1||Access control:1||Accuracy:1||Active Period:1||Ad hoc Wireless Network:1||Adaptive DRX:1||Agentbased:1||Antireader collision algorithm:1||Appearance affinity network:1||Atmospheric measurements:1||Attack detection:1||Automatic Adjustment:1||Available Bandwidth:1||Beacon:1||Broadband access network:1||Burst Loss:1||CMOS:1||CNN:1||Calibration:1||Camera:1||Centralizing Resource Information:1||Channel quality:1||Charge point operator:1||Charge point state:1||Charger Utilization Rate:1||Charging Contribution:1||Charging Success Rate:1||Charging service:1||Clock Synchronization:1||Computer architecture:1||Congestion Control:1||Congestion control:1||Containerbased Cloud:1||Contention resolution:1||Continuous:1||Continuous Monitoring:1||Control Channel가의 무형재산으로 인식되고 있으며 자원은 한정되어있는 반면 이에 대한 수요는 급격하게 증가하고 있는 실정이다. 일반적으로 무선 네트워크에서는 특정 대역에서의 대역 할당이 허가된 사용자(IU: IncumbentUser) 위주로 이루어지기 때문에 시간적 혹은 공간적으로 유휴 주파수가 발생할 수 있지만 이는 특정 사용자에게 할당된 것으로 다른:1||Control system:1||Cost:1||DRX (discontinuous reception):1||Data Reuse:1||Deep Learning:1||Deep learning:1||Denialofservice:1||Depth completion:1||Discontinuous Reception:1||Distance estimation:1||DoS 공격:1||Docker:1||Dos Attack:1||Dynamic Update:1||Dynamic bandwidth allocation:1||Earliest Deadline First:1||Edge Computing:1||Edge detection:1||Electric Vehicle:1||Electric vehicle:1||EtherCAT:1||Ethernet passive optical network:1||Extended PI:1||FDD:1||FTTx:1||Facebook:1||Fairness:1||Faults:1||Feature:1||Feature selection:1||Fiber delay line:1||Fieldbus:1||Generative adversarial networks:1||Generators:1||Greedy:1||Greedy Algorithm:1||Greedy algorithm:1||Hashtag:1||Hello message period:1||Heuristic:1||Heuristic Algorithm:1||Heuristic algorithm:1||Hierarchical structur:1||Hybrid Wireless Network:1||IIoT:1||Illuminance:1||Image Segmentation:1||Incumbent User:1||Indoor Positioning:1||Indoor Positioning System:1||Indoor positioning:1||Industrial Networks:1||Influence maximization:1||Information Evaluation:1||Interactive multiple model:1||Internet of Things:1||Interoperability:1||Inverted Pendulum:1||

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