ScholarWorks@Soongsil University: Choi, jong sun

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Choi, jong sun (최종선)

College of Information Technology (School of Computer Science and Engineering)

Research Area: 상황인식 컴퓨팅 & 지능형 로봇 소프트웨어 플랫폼, 디지털 트윈 & 엣지 컴퓨팅, 디지털 마케팅 & 자연어 처리, Context-Aware Computing & Intelligent Robot Software Platform, Digital Twin & Edge Computing, Digital Maketing & NLP

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상황인지:3||CAWL:2||Cloud:2||Robot Middleware:2||contextaware:2||ROS:2||Big data:2||Auxiliary Data:1||Bayesian model:1||Circular Linked List:1||Clientserver:1||Cloud Storage:1||Cooccurrence:1||Conditional probability:1||Context:1||Context Aware:1||Context analysis:1||Context similarity:1||ContextAware Robot Services:1||ContextAware Workflow Model:1||ContextAwareness:1||Contextaware Workflow:1||Customized healthcare service:1||CyberAttack:1||DGEMM:1||DRM:1||Data distribution service:1||Data ingestion tools:1||Deep Learning:1||Deep Learning Description Language:1||Development Tool:1||Documents Generation:1||Edge Computing:1||Edge computing:1||Fat Client:1||FatClient:1||Fixed Size Memory Pool:1||Food Safety:1||Fuzzy logic:1||Generating Training Dataset:1||Healthcare Service:1||Healthcare System:1||Heterogeneous virtual resources:1||Hypervisor:1||Illegal Alteration:1||Implicit Feedback Data:1||Improvement of Scenario Development:1||Integrated management:1||Intel Xeon Phi (Knights Landing):1||Intel Xeon Scalable (Skylake) processor:1||Internet of Things(IoT):1||IoT (Internet of Things):1||IoT Computing Environments:1||IoT devices:1||Libvirt:1||Livestock nutrition management:1||Machine Learning Model:1||Maintaining Accuracy:1||Management:1||Matching:1||Mobile Game Server:1||Model Reference:1||Network disk sharing:1||Optimization:1||QR factorization:1||Real time:1||Recommendation System:1||Relay System:1||Reusability:1||Reusing XML Objects:1||Robot Service:1||Robot Service Execution:1||SQL Server:1||SQL 서버:1||Security Strategy:1||SelfAdvertisement System:1||Sensor Data Acquisition Model:1||Sequential Memory Allocation:1||Service Scenario Editor:1||Service robot:1||Smart City:1||Smart Service:1||Social services:1||Target Data:1||Traceability:1||Traffic Situation Analysis Model:1||Trusted Deep Learning:1||Unstructured Data Abstraction:1||User Behavior Data:1||Wearable devices:1||XML 객체의 재사용:1||XMLbased Language Approach:1||abstracted sensory data:1||attention mechanism:1||awareness:1||context classification:1||context&:1||contextaware services:1||contextaware system:1||contextaware workflow:1||contextawareness:1||data abstraction:1||data preparation:1||dataset description:1||dataset retrieval:1||deep learning:1||dualstage attentionbased RNN:1||dynamic Bayesian networks:1||edge computing environment:1||embedding convergence:1||fault diagnosis:1||fitness recommendations:1||forecasting garlic price:1||formal model:1||handling situational information:1||heart rate:1||knowledge representation:1||matrix:1||matrixpanel multiplication:1||motion composition:1||multiple workflows:1||personalization:1||preprocessing:1||pruningbased lightweighting:1||pumpmotor systems:1||robot software platform:1||situational information:1||small and mediumsized vessels:1||smallscale producer:1||smart service:1||temporal fusion transformers:1||uagriculture:1||ubiquitous computing:1||ubiquitous computing environments:1||wearable computing:1||wearable data:1||workflow:1||workflow service model:1||고정크기 메모리 풀:1||교통상황 분석 모델:1||기계학습 모델:1||네트워크 디스크 공유:1||다중워크플로우:1||딥러닝:1||딥러닝 기술 언어:1||로봇 미들웨어:1||메모리 동적 할당:1||모델 참조:1||모바일 게임 서버:1||목표 데이터:1||보조 데이터:1||비정형 데이터 추상화:1||사물인터넷:1||사물인터넷 컴퓨팅 환경:1||사용자 행동 데이터:1||상관관계 분석:1||상황인지 로봇 서비스:1||상황인지 시스템:1||상황인지 워크플로우 모델:1||상황정보 처리:1||서비스 시나리오 편집기:1||센서데이터 수집 모델:1||시나리오 개발 프로세스 개선:1||신뢰성있는 딥러닝:1||아마존 EBS:1||아마존 EC2:1||암시적 피드백 데이터:1||에지 컴퓨팅:1||워크플로우:1||원형 연결 리스트:1||유비쿼터스 컴퓨팅:1||유비쿼터스 컴퓨팅 환경:1||정확도 유지:1||중계 시스템:1||추천 시스템:1||컨텍스트 분류:1||클라우드 저장장치:1||팻 클라이언트:1||학습데이터 생성:1||#8208:1||헬스케어 서비스:1||:1||Action Petri net:1||Agricultural Products:1||Amazon EBS:1||Amazon EC2:1||Application of Robot Services:1||

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