18HH2900, Development of Self-learnable common IoT SW engine,
Park Dong-Hwan
Abstract
o 사물지능 SW 프레임워크 기술 개발 - 사물지능 공통 정보 모델 및 명세 개발 - 서비스 도메인별 지능 정보 모델 및 명세 개발 - 사물지능의 실행을 위한 동작규칙 및 프로세스 변환·생성 기술 개발 o 적응적 상황인지 기술 개발 - 적응적 상황인식 프로파일링 및 원격 업데이트 기술 개발 - 시계열 기반 데이터 분석을 통한 패턴분석 및 상황인식 알고리즘 기술 개발 - 멀티스트림 고속 필터링 및 분석을 통한 사물·환경·사용자 상황인식 기술 개발 - 클라우드 지능의 분석기술 연계 및 활용 기술 개발 o 경량형 실시간 추론 및 의사결정·대응 기술 개발 - 경량형 실시간성 보장 추론 기술 개발 - 우선순위 기반 상황인지 및 추론 태스크 스케줄링 기술연구 및 개발 - 상황 및 시점에 따른 의사결정·대응이력 모니터링 및 분석 기술 개발 o 자율적 사물지능 강화 기술 개발 - 실행·피드백 기반 경량형 사물지능 강화 학습 모델 개발 - 경량형 사물지능 강화학습 알고리즘 연구 및 프로토타입 개발 - 의사결정/대응 피드백 결과 분석 및 평가 기술 개발
(출처 : 요약서 4p)
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