17ZH1500, Development of Technologies for Proximity, Real-time, and Smart Service Recommendation Platform ,
Ki-Sook Chung
Abstract
IV. 연구 결과 o 로컬 인텔리전스 서비스추천 알고리즘 고도화 • 서비스 추천 재현율(recall rate) 목표치 40%: 44.4 % 달성 • 서비스 추천 채택율(Precision rate) 목표치 80%: 81.1% 달성
o 로컬 인텔리전스 서비스추천플랫폼 PoC 개발 • 오픈 하드웨어 기반 개방형 Wi-Fi AP 테스트베드 구축 및 성능 측정 시험 • 서비스 추천 내부 응답 시간 목표치 100 msec 이하: 평균 68msec 달성 • 서비스 세션 설정 지연 시간 목표치 30 msec 이하: 10msec 달성
o 로컬 인텔리전스 서비스 추천 관련 표준화 • 국제표준승인기고서:“OMA-TS-REST_NetAPI_ZonalPresence-V1_0”, OMA, 2016.3. 승인 • ETSI MEC 기고서 1건 반영, OMA 기고서 22건 반영
o 단말근접 로컬 인텔리전스 특화 서비스 발굴 및 개발 • 2015년~2016년: 서비스 8건 발굴 • 2017년 추가발굴: 존 프레즌스(zonal presence) 정보를 기반으로 한 복합 지역공간에서의 추천 서비스, 드론을 활용한 활주로 이상 감지 서비스 등 2건
o 로컬 인텔리전스 서비스추천 IPR 확보 • 국제 특허 2건(국제표준 특허 1건 포함) 출원, 국내 특허 13건 출원
o IF상위20% SCI-e 급 학술 논문 2건 • Jeongseok Yu, Laihyuk Park, Junho Park, Sungrae Cho, and Changsup Keum,“CoR-MAC: Contention over Reservation MAC Protocol for Time-Critical Services in Wireless Body Area Sensor Networks,” Sensors, vol. 16, 2016.5. • “Adaptive Ressource Balancing for Serviceability Maximization in Fog Radio Access Networks”, IEEE Access, Vol.5, 2017
(출처 : 요약문 7p)
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