ScholarWorks@Gachon: Lee, Joo Hyung

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Lee, Joo Hyung (이주형)

College of IT Convergence (Department of Software)

Research Area: 통신네트워크 및 미디어스트리밍

Tel 031-750-6968
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Internet of Things:7||Servers:7||Energy consumption:5||Edge computing:5||Stackelberg game:5||Data models:4||deep learning:4||machine learning:4||Internet of Things (IoT):4||Training:4||energy efficiency:4||Predictive models:3||object detection:3||Federated learning:3||Augmented reality:3||Analytical models:3||Computational modeling:3||Demand side management:2||stackelberg game:2||Feature extraction:2||energy trading:2||mobile edge computing:2||Load forecasting:2||federated learning:2||Karush Kuhn Tucker conditions:2||computation offloading:2||Resource management:2||genetic algorithm:2||DQN:2||hierarchical edge computing:2||optimization:2||Electric vehicle charging:2||pilot assignment:2||Deep learning:2||demandside management:2||Object detection:2||Internet of things:2||Wireless communication:2||Games:2||LSTM:2||massive MIMO:2||Interference:1||IoT:1||Job shop scheduling:1||Live Streaming:1||LoRa:1||Load management:1||Load modeling:1||MLP:1||MPTCP:1||Meanshift clustering:1||Microgrid:1||Microgrids:1||Mobile Edge Computing (MEC):1||Mobile cloud computing:1||Monitoring:1||Multihoming:1||Object detection and tracking:1||Object tracking:1||Offgrid base station (BS):1||Photovoltaic voltage:1||Pilot contamination:1||Power scheduling:1||Power system stability:1||Powerefficient clustering:1||QoS guaranteed:1||RNN:1||Reinforcement Learning:1||Reliability:1||RoE:1||Robust/Adaptive Control:1||SIR:1||SNR:1||SPCC distance:1||Scalability:1||Schedules:1||Sensors:1||Shapley value:1||SmC:1||Smart grid:1||Smart grids:1||Socialviewports:1||Software convergence:1||Software education:1||Software implementation:1||Split learning:1||Stackelberg game.:1||Test bed:1||Time series analysis:1||Tor browser:1||Tor networks:1||Traffic Classification:1||Transforms:1||UDNs:1||Unmanned aerial vehicle networks:1||Vehicletogrid:1||Video streaming:1||View Point Adaptation:1||Virtual Network Functions (VNFs):1||Virtual Reality:1||Virtual reality:1||Visual analytics:1||Website Fingerprinting:1||analytical model:1||auction theory:1||battery capacity:1||battery degradation:1||blockchain:1||cache management.:1||cloudlet:1||clustering:1||coded distributed computing:1||cognitivevideo surveillance management:1||collaborative cloud computing:1||correlation coefficient:1||costeffective video surveillance management system:1||daily power profile:1||data cleaning:1||data prediction.:1||data transmission period:1||data transmission period control:1||deep reinforcement learning:1||distance measurement:1||dynamic pricing:1||edge computing:1||edge intelligence:1||electric vehicle:1||electric vehicle (EV):1||electricity market:1||energy outage (EO):1||energy outage (EO) probability:1||energy storage system:1||energy system:1||energy trading system:1||energyefficient:1||equilibrium analysis:1||fairnessseeking differentiated pricing:1||feature analysis:1||federated learning (FL):1||forecasting error:1||future forecasting:1||genetic al gorithm:1||grantfree transmission:1||group management scheme:1||heterogeneous access networks:1||heterogeneous energy sources:1||imputation:1||incentive mechanism:1||industrial informatics:1||interference analysis:1||job scheduling:1||joint pricing and load distribution:1||kmeans clustering:1||kNN algorithm:1||latency:1||learning:1||load data clustering:1||load management:1||load profile:1||long range (LoRa):1||lowpower widearea networks (LPWANs):1||meanshift clustering:1||measurement study:1||missing data:1||mobile edge computing (MEC):1||mobile edge computing (MEC) server:1||mobile edge computing.:1||mobile traffic prediction:1||mobile traffic prediction.:1||multiaccess edge computing:1||multileader singlefollower Stackelberg game:1||multidimensional data embedding.:1||multiple retailers:1||multivariate time series:1||naive auction:1||neutral host:1||noncooperative game:1||object detection and tracking:1||offgrid base station (BS):1||offgrid system:1||photovoltaic voltage:1||pilot contamination:1||power consumption:1||power data:1||power distribution:1||power distribution scheme (PDS):1||power system economics:1||pricing mechanism:1||profile extraction:1||pure ALOHA:1||radio resource control:1||reinforcement learning:1||resource allocation:1||resource optimization:1||scalability:1||smart grids:1||smart meter:1||solar energy generation:1||testbed:1||throughput:1||time division duplexing:1||time series forecasting:1||traffic load:1||transactive energy:1||uncertain data:1||unit power price:1||vRAN:1||3GPP:1||website fingerprinting attacks:1||4thindustrial revolution:1||5G:1||5G/6G:1||6G mobile communication:1||AIEnabled Robotics:1||Adaptive caching:1||Auction theory:1||Bandwidth Efficient:1||Batteries:1||Bidproportional pricing:1||CNN:1||Cloud Computing:1||Cloud computing:1||Computer architecture:1||Contract power:1||Control Architectures and Programming:1||Convolutional neural network (CNN):1||Cooperative game theory:1||Cooperative relay:1||Cost minimization:1||Costs:1||DAS:1||Data communication:1||Data market:1||Decentralized federated learning:1||Deep Learning:1||Deep reinforcement learning:1||EV user behavior:1||Edge Computing:1||EdgeAI:1||Electric vehicle:1||Electric vehicles:1||Electricity market:1||Estimation:1||Federated learning (FL):1||Forecasting:1||Generators:1||HEVC:1||Hierarchical edge computing:1||Incentive mechanism:1||

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1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

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