ScholarWorks@Hanyang University: Cha, Jae Hyuk

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Cha, Jae Hyuk (차재혁)

COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)

Research Area: 데이타베이스, e러닝, 웹 컴퓨팅, Database, e-Learning, Web Computing

Tel 02-2220-1158
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deep learning:13||Flash Memory:7||feature selection:6||fusion:5||flash memory:5||SSD:5||FTL:4||contrast enhancement:4||플래시 메모리:4||storage system:4||flash translation layer:3||Elearning:3||machine learning:3||Flash memory:3||DBMS:3||buffer replacement:3||Browser extension:2||Data mining:2||skin cancer:2||elearning:2||Semantic web:2||Execution time estimation:2||classification:2||learing prefernce:2||clustering:2||transfer learning:2||I/O Performance:2||Garbage Collection:2||episodic memory:2||evolutionary algorithms:2||mental stress:2||experience sampling:2||Buffer Replacement:2||EfficientDet:2||Google TabNet:2||HTML:2||Flash Translation Layer:2||frequency analysis:2||MBTI:2||Ontology:2||heart rate variability.:2||Entropy:1||Feature fusion:1||Features fusion:1||Flash:1||Flash memories:1||Flash translation layer:1||Flowmap:1||Fundus images:1||GPS data analysis:1||Gait recognition:1||Gastrointestinal cancer:1||Glaucoma:1||Global Positioning System:1||Harris hawks optimization and artificial intelligence:1||Heatmap:1||Hierarchical clustering:1||History:1||Human activity recognition:1||Human factors:1||Human gait recognition:1||Hybrid FlashDisk Storage:1||IMS QTI:1||IO traces:1||IO workload characterization:1||InceptionV3:1||Information repositories:1||Information retrieval:1||Internet technology:1||Life Satisfaction:1||Log block:1||MRI volumes:1||Machine learning:1||Main content extraction:1||Manuals:1||Measurement:1||Memory management:1||Metadata:1||Mobility Disability:1||Modeling:1||NAND Flash:1||NAND Flash Memory:1||NAND flash:1||NAND flash memory:1||NVRAM:1||NeverEnding Image Learner:1||Nonvolatile RAM:1||Ontology matching:1||Opinion Mining:1||Opinion Search:1||OriginDestination Data:1||Parallelism:1||Parameterinsensitive:1||Performance evaluation:1||Polarity:1||Power Consumption:1||Power demand:1||Predictive models:1||Prefetching:1||Product Review:1||QTI:1||Question and test interoperability:1||RS3 system:1||Ranking:1||ResNet50:1||Rules:1||Semanticbased search:1||Sequential Pattern Mining:1||Simulation:1||Simulation tool:1||Social informatics platform:1||Social networking (online):1||Social problem solving:1||Solid state drives:1||SolidState Drive:1||Solidstate disk:1||Solidstate drive (SSD):1||Solidstate drives:1||Standards:1||Storage System:1||Storage device:1||Storage management:1||Storage system:1||Streams:1||Subgraph isomorphism:1||Substructure searching:1||System performance:1||Time factors:1||Training data:1||Transportation Mode Detection:1||Transportation mode detection:1||Ulearning:1||Usability:1||Voice:1||Wear leveling:1||Web:1||Web browser:1||Web content extraction:1||Web content management:1||Web extensions:1||Web mining:1||Webpage:1||Write Amplification:1||Write buffer:1||Xray:1||Xception:1||access:1||and disparities:1||anomalous behavior:1||anomalous events:1||anomalous objects:1||aspect extraction:1||association rule mining:1||attention mechanism:1||augmentation:1||autobiographical memory:1||automatic online prediction:1||benchmark:1||binary dragonfly algorithm:1||biometric:1||block detection:1||breast cancer:1||characterization:1||chest diseases:1||community detection algorithms:1||compression:1||connect component analysis:1||context:1||contextdependent memory:1||contextual positional information:1||convolutional neural network (CNN):1||corona virus:1||covariant factors:1||cubic SVM:1||deep features:1||deep learning features:1||deep neural network:1||dermoscopic images:1||diabetic macular edema:1||diabetic retinopathy:1||disability policies:1||eCommerce:1||ePortfolio:1||efficientNetB3:1||emergency management:1||encoding specificity principle:1||energy consumption:1||ensemble:1||ensemble convolutional neural network:1||epidemic response network:1||explainable AI:1||feature fusion:1||feature optimization:1||features optimization:1||federated learning:1||file system:1||flash device:1||flashmemory:1||gait recognition:1||garbage collection:1||haze contrast enhancement:1||healthcare:1||human behavior and the social environment:1||hyperparameters:1||inclusion:1||independence of scales:1||index:1||information fusion:1||kronecker convolution:1||leaf disease:1||localization:1||mlearning:1||magnetic resonance imaging:1||main content extraction:1||mammogram images:1||mango leaf:1||memory for when:1||microbenchmark:1||mobileNetV2:1||mobility disability:1||multifilters contrast enhancement:1||multichannel convolutional neural network:1||network analysis:1||neural networks:1||nontransactional databases:1||online healthcare system:1||optical flow:1||page invalidation:1||parallelism:1||poweroff recovery:1||privacy:1||programs:1||quantitative research:1||quantuminspired:1||residual Unet:1||sentiment analysis:1||services:1||simulator:1||smartphone:1||solidstate disk:1||solidstate drives:1||squeeze excitation (SE):1||storage and operating systems:1||storage device:1||stress detection:1||time scale dependency:1||ulearning:1||uFLIP:1||vein pattern:1||violence detection:1||virtual image sensing:1||wearable sensor:1||web content extraction:1||web mining:1||web segmentation:1||white blood cell classification:1||word embedding:1||write amplification:1||write buffer:1||가비지 컬렉션:1||가비지콜렉션:1||데이터  시각화:1||데이터배치:1||데이터베이스:1||마모도 평준화:1||비휘발성 메모리:1||사용성:1||시뮬레이션 도구:1||신경망 모델:1||쓰기증폭:1||역량:1||온톨로지:1||웹 콘텐츠 추출:1||웹페이지:1||이러닝:1||인덱스:1||입출력 성능:1||저장장치:1||주요 콘텐츠 추출:1||출발지목적지  데이터:1||파일 시스템:1||페이지 무효:1||플래시 변환 계층:1||플래시메모리:1||플로우맵:1||Address Translation:1||히트맵:1||Anomaly detection:1||Application IO trace:1||Artificial intelligence:1||Authoring tool:1||Bayesian optimization:1||Boilerplate removal:1||BraTs2020:1||Brain tumor:1||Brain tumor segmentation:1||Browser:1||Buffer replacement algorithm:1||CCA:1||Channel:1||Citrus diseases classification:1||Component:1||Computer aided instruction:1||Computer and education:1||Content rendering:1||Content security:1||Contents Retrieval:1||Contents selection:1||Crops diseases:1||DOM:1||Darknet53:1||Data Mining:1||Data Placement:1||Data Visualization:1||Data augmentation:1||Data collection:1||Data partitioning:1||Data placement:1||Deep learning:1||Deep neural net model:1||Design:1||Device Profile:1||Device profile:1||Digital TV:1||ELM:1||EfficientNet:1||Embedded system:1||

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