ScholarWorks@Hongik: Kim, Hye Young

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Kim, Hye Young (김혜영)

Game (Major in Game Software)

Research Area: 컴퓨터학

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Ethereum:7||Blockchain:6||Load balancing:5||Schnorr:5||ECDSA:4||load balancing:4||blockchain:3||MMORPG:3||deep learning:3||game server:3||User oriented:3||Energy efficiency:2||Internet of Things (IoT):2||Gaming User:2||Security:2||game user:2||session:2||Digital signature:2||Gaming user:2||Infrared Thermometer:2||Synchronization:2||Deep belief network:2||FSR:2||Key management:2||Finite State Machine:2||Server:2||Seamless:2||Cloud Computing:2||부하분산:2||Reinforcement Learning:2||Wireless sensor network:2||Wireless sensor networks:2||GSR:2||SVM deep neural networks:2||Scaling:2||Sensors:2||Game Server:2||Dependability:2||Intensitydependent normalization (M vs A plot method):1||Interactive Media Art:1||Interactive Story Game:1||Internet of thing:1||Internet of things:1||IoT:1||IoT (Internet of Things):1||IoT(Internet Of Things)(사물인터넷):1||Ipfs:1||Lifetime:1||Load Balancing:1||Load balance:1||MMORPGs:1||Marine casualty information:1||Massively multiplayer online games (MMOGs):1||Mobile game:1||Network anomalies:1||Network anomalies in distributed server loads:1||Object polling:1||Odor reduction:1||Process design:1||Proximal Policy Optimization:1||Qlearning:1||Queue size:1||Queueing:1||RNAseq gene expression:1||RTS:1||RealTime Strategy Game:1||S100 standard:1||Screen Saver:1||Service time:1||Session:1||Slimchain:1||Smart IT Convergence Framework:1||Smart IT convergence Framework (스마트 IT 융합 프레임워크):1||Smart Toy(스마트 토이):1||Smart sensors:1||Sparse Autoencoder:1||State update:1||Steiner trees:1||Subnetworks management:1||Support Vector Machine Recursive Feature Elimination (SVMRFE):1||TStatistics:1||Throughput:1||Transaction pool:1||Transactions:1||Waiting time:1||Webbased application:1||Wireless sensor networksey management:1||Wireless sensor networksk:1||XML:1||abnormal behavior recognition:1||achievable rate:1||convolutional neural network:1||copyright protection:1||data rebalancing:1||data representation:1||deep blief network:1||deep reinforcement learning:1||delay and delay variationbounded multicast tree (DVBMT) problem:1||digital signature:1||distributed decentralized chain:1||dynamic keying:1||energy efficiency:1||ensemble Learning:1||event locking method:1||game user oriented:1||gaming server:1||hand gesture recognition:1||industrial control:1||information management:1||key management:1||lifetime:1||load balance:1||loss rate:1||map:1||massively multiplayer online games (MMOGs):1||message:1||message management:1||mining:1||multsignature:1||multicamera surveillance:1||multicast routing algorithm:1||neural network pruning:1||object polling:1||object pooling:1||object relation tracking:1||optimization:1||packet:1||policy:1||queueing:1||queueing model:1||realtime:1||rekeying:1||resilience:1||revocation:1||reward:1||seamless:1||security:1||sensor network:1||sensors(센서들):1||stalking:1||subnetworks management:1||transaction pool:1||violence:1||wireless sensor networks:1||감성 컴퓨팅:1||강화학습:1||게임서버:1||데이터 특징 추출:1||디지털서명:1||딥러닝:1||분할 차영상:1||블록체인:1||스크린 세이버:1||스토리 분기형 게임:1||이더리움:1||인간과 컴퓨터의 상호작용:1||전시 기술:1||차영상:1||Access control:1||체험형 전시 예술:1||ActorCritic reinforcement learning Hyperparameters:1||Affective computing:1||Arrival time:1||Balancing:1||BigData:1||Bioinformation architecture:1||Biosensing computing:1||Block posting:1||Cloud networks:1||Convergence:1||Deep Learning:1||Deep learning:1||Device Authentication:1||Device management IoT Security:1||Difference Image:1||Digital Signature:1||Distributed Server:1||Dynamic Allocation:1||Dynamic configuration:1||Energyefficient:1||Event locking:1||Exhibition Technology:1||Ey management:1||Framework(프레임워크):1||Game:1||Game Engine:1||Game User:1||Game server:1||Gaming server:1||Greedy Algorithm:1||Greedy algorithm:1||HumanComputer Interaction:1||Hybrid deep QNetwork reinforcement learning:1||Hybridchain:1||Hyperprameters:1||IT convergence:1||Integrated monitoring system:1||

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